METHODS FOR SAMPLING AND MEASURING ORAL LAVAGE PROTEINS

Information

  • Patent Application
  • 20180320217
  • Publication Number
    20180320217
  • Date Filed
    May 04, 2018
    6 years ago
  • Date Published
    November 08, 2018
    5 years ago
Abstract
A method for reducing a tetrazolium salt.
Description
FIELD OF THE INVENTION

The invention is related to methods of collecting oral cavity samples, such as oral lavage, and extracting and analyzing proteins to monitor the health status of oral epithelium.


BACKGROUND OF THE INVENTION

Periodontal diseases, such as gingivitis and periodontitis, involve chronic inflammation in the gingival tissue caused by microbial communities and host immune responses. They are one of the most ubiquitous diseases worldwide affecting up to 90% of the population, and remain the most common cause of tooth loss in the world today. In healthy gingiva, the microbial community is in a homeostatic equilibrium with the host, and host immune systems limit bacterial overgrowth and neutralize toxic products, such as lipopolysaccharides (LPS) and lipoteichoic acids (LTA). The intricate balance between host and bacteria is disrupted as bacteria overgrow in the gingival margins or in the subgingival crevice. Recent data from metagenomics studies showed that bacterial species were increased in gingivitis in supragingival and subgingival plaques, such as Prevotella pallens, Prevotella intermedia, Porphyromonas gingivalis, and Filifactor alocis. Although the etiology of gingivitis and periodontitis remains elusive, one thing is clear; the composition of the dental plaques is significantly different in healthy sites compared with clinically defined disease sites. This observation, together with advances in characterizing the host and bacterial interactions using the newly developed tools in genomics, proteomics and metabonomics, has led to the notion that gingivitis and periodontitis are the result of disrupted homeostasis between host and polymicrobial communities (Lamont R J and Hajishengallis G. Polymicrobial synergy and dysbiosis in inflammatory disease. G Trends Mol Med. 2015; 21:172-83).


Polymicrobial communities in the dental plaques produce various virulence factors; for example, many bacteria produce digestive enzymes, such as hyaluronidases to breakdown polysaccharides that glue the host cells together, fibrinolytic enzymes that lyse the fibrins of blood clots, and collagenases that degrade collagens in the connective tissues. Gram negative bacteria secrete endotoxins, also called lipopolysaccharide (LPS), lipids, and lipooligosaccharides, while Gram positive bacteria produce lipoteichoic acid (LTA) and peptiglycans. Furthermore, one pathogen bacterium can generate multiple virulence factors; for example P. gingivalis has been reported to generate multiple virulence factors that are involved in the inflammatory and destructive events of periodontal tissues. These virulence factors include the capsule, outer membrane, its associated LPS, fimbriae, proteinases, and selected enzymes.


Microbial virulence factors have been shown to act as inflammatory mediators by activating Toll-like receptors. Binding of LPS to TLR4, and LTA to TLR2, activates the NF-κB signaling pathway in immune cells and gingival epithelial cells, subsequently leading to production and release of proinflammatory cytokines and chemokines, such as IL-lα, IL-1β, IL-6, IL-8, IFN y, and TNF-α. Those microbial virulence factors also bring about profound changes in cellular metabolism, especially in production of Adenosine triphosphate (ATP).


Glucose is the major nutrient for adenosine triphosphate (ATP) production in our diet. There are three well-characterized pathways for extracting energy from glucose: glycolysis, cellular respiration and fermentation.


Glycolysis usually occurs in cytoplasm, and includes a glucose molecule being metabolized to produce 2 molecules of pyruvate, 2 molecules of ATP and 2 molecules of NADH+H+. Ten enzymes are involved in the glycolysis process, including hexokinase, phosphoglucose isomerase, phosphofructokinase, aldolase, triosephosphate isomerase, glyceraldehyde phosphate dehydrogenase, phosphoglycerate kinase, phosphoglycerate mutase, enolase, and pyruvate dehydrogenase.


Cellular respiration is a set of metabolic reactions to convert biochemical energy extracted from nutrients into (ATP), carbon dioxide and water. This process includes three sub-pathways—pyruvate oxidation, the citric acid cycle and the electron transport chain. The citric acid cycle—also known as the tricarboxylic acid cycle (TCA cycle) and the Krebs cycle—is a series of enzyme-catalyzed catabolic reactions, breaking a six carbon molecule into a four carbon molecule and two molecules of carbon dioxides. The chemical reactions occur in the matrix of the mitochondrion of mammalian cells, and are catalyzed by citrate synthase, aconitase, isocitrate dehydrogenase, α-ketoglutarate dehydrogenase, succinyl coenzyme A synthetase, succinate dehydrogenase, fumarase, and malate dehydrogenase.


Fermentation occurs when oxygen is limited. It converts pyruvate into lactic acid or ethanol. Fermentation is not as efficient as cellular respiration in converting nutrients into ATP. This process occurs in the cytoplasm.


Glycolysis does not only produce ATP, but also provides metabolic intermediates needed for cell growth and proliferation. In oncology, most cancer cells predominantly produce energy by a high rate of glycolysis followed by lactic acid fermentation in the cytosol—an observation called the Warburg effect. Tumor cells are highly proliferative and typically increase glycolytic rates by up to 200 times higher than those of their normal tissues of origin. This occurs even if oxygen is plentiful. In 1956, Otto Warburg postulated that elevation in glycolysis is the fundamental cause of cancer, a hypothesis currently known as the Warburg effect.


The Warburg effect describes the metabolic changes in a cell or tissue. Cells increase glycolysis with formation of lactate and decrease cellular respiration in mitochondria for the generation of ATP and recycling of NADH to NAD+. Accumulating evidence has shown that the Warburg effect is probably mediated by the master transcription factor hypoxia-inducible factor-1 (HIF-1α). In fact, several enzymes in glycolysis are upregulated by HIF-1α, such as aldolase, (Lu H, Forbes R A, Verma A. Hypoxia-inducible factor 1 activation by aerobic glycolysis implicates the Warburg effect in carcinogenesis. J Biol Chem. 2002 Jun. 28; 277(26):23111-5), triosephosphate isomerase (Gess B, Hofbauer K H, Deutzmann R, Kurtz A. Hypoxia up-regulates triosephosphate isomerase expression via a HIF-dependent pathway. Pflugers Arch. 2004 May; 448(2):175-80), and hexokinase (Riddle SR1, Ahmad A, Ahmad S, Deeb S S, Malkki M, Schneider B K, Allen C B, White C W. Hypoxia induces hexokinase II gene expression in human lung cell line A549. Am J Physiol Lung Cell Mol Physiol. 2000 February; 278(2):L407-16.). In addition to elevating glycolysis under hypoxia, HIF-1α also plays a regulatory role in inflammation. Expression of HIF-1α is regulated by proinflammatory cytokines, bacterial products, and microbial infection. At the same time, HIF-1αmediates production of IL-1β (Zhang W I, Petrovic J M, Callaghan D, Jones A, Cui H, Howlett C, Stanimirovic D. Evidence that hypoxia-inducible factor-1 (HIF-1) mediates transcriptional activation of interleukin-1beta (IL-1beta) in astrocyte cultures. J Neuroimmunol. 2006 May; 174(1-2):63-73). The interactions between HIF-1, glycolysis, and the immune response to microbes and their virulent factors still remains to be explored.


Assessing the severity of gingivitis and periodontitis is currently achieved with clinical measures such as gum redness, gum bleeding or pocket depth. While the measures are based on professionally developed scales, the actual values can vary due to examiner differences. There exists a need to quantify how severe gingivitis is and how effective treatments from oral hygiene products are in promoting gingivitis resolution. It is desirable to have objective readings from an instrument that is free of human errors. Transcriptomics, proteomics, and metabonomics measurements in saliva have been used to diagnose gingivitis, and to monitor progresses in treatment. But there is a disadvantage associated with saliva, in that the composition of saliva will be varied dependent upon the time of collection. As should be apparent, this field has a need for a more sensitive, accurate, and consistent test whenever an individual appear in a dentist office, or in a clinical setting, or at home.


SUMMARY OF THE INVENTION

The foregoing summary is not intended to define every aspect of the invention, and additional aspects are described in other sections, such as the Detailed Description. In addition, the invention includes, as an additional aspect, all embodiments of the invention narrower in scope in any way than the variations defined by specific paragraphs set forth herein. For example, certain aspects of the invention that are described as a genus, and it should be understood that every member of a genus is, individually, an aspect of the invention. Also, aspects described as a genus or selecting a member of a genus should be understood to embrace combinations of two or more members of the genus. With respect to aspects of the invention described or claimed with “a” or “an,” it should be understood that these terms mean “one or more” unless context unambiguously requires a more restricted meaning. The term “or” should be understood to encompass items in the alternative or together, unless context unambiguously requires otherwise. If aspects of the invention are described as “comprising” a feature, embodiments also are contemplated “consisting of” or “consisting essentially of” the feature.


A method is provided for reducing a tetrazolium salt comprising providing an oral cavity sample; combining the oral cavity sample with a tetrazolium salt; wherein the oral cavity sample comprises an enzyme and at least one of a dehydrogenase, reductase or reducing reagent; and wherein the tetrazolium salt is reduced to produce a formazan dye.


A method is provided for reducing resazurin comprising providing an oral cavity sample; combining the oral cavity sample with resazurin; wherein the oral cavity sample comprises an enzyme and at least one of a dehydrogenase, reductase or reducing reagent; and wherein the resazurin is reduced to produce resorufin.


A method for determining the effectiveness of an oral care composition for maintaining oral health and/or showing the effects of an oral care composition upon gingival inflammation is provided that comprises acquiring an oral cavity sample before and after treatment with an oral care composition; combining the oral cavity sample with a tetrazolium salt; wherein the oral cavity sample comprises an enzyme and at least one of a dehydrogenase, reductase or reducing reagent; and wherein the tetrazolium salt is reduced to produce a formazan dye; or wherein resazurin is reduced to resorufin.


A method for detecting malate dehydrogenase and triosephosphate isomerase from oral biological samples is provided that comprises substrates, an electron coupling reagent, a cofactor and a tetrazolium salt.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1. Graph showing Modified Gingival Index (MGI) presented by Adjusted Mean vs. Visit by Treatment.



FIG. 2A. Graph showing Gingival Bleeding Index (GBI) presented by Adjusted Mean vs. Visit by Treatment.



FIG. 2B. Graph showing the number of Bleeding Sites are presented by Adjusted Mean vs. Visit by Treatment.



FIG. 3A. Graph showing Spectrum of formazan dyes in the presence of diaphorase.



FIG. 3B. Graph showing Spectrum of formazan dyes in the presence of diaphorase.



FIG. 4A. Graph showing the effect of different concentrations of tetrazolium salts on formation of formazan dyes.



FIG. 4B. Graph showing the effect of different concentrations of tetrazolium salts on formation of formazan dyes.



FIG. 4C. Graph showing the effect of different concentrations of tetrazolium salts on formation of formazan dyes.



FIG. 4D. Graph showing the effect of different concentrations of tetrazolium salts on formation of formazan dyes.



FIG. 4E. Graph showing the effect of different concentrations of tetrazolium salts on formation of formazan dyes.



FIG. 4F. Graph showing the effect of different concentrations of tetrazolium salts on formation of formazan dyes.



FIG. 4G. Graph showing the effect of different concentrations of tetrazolium salts on formation of formazan dyes.



FIG. 5. Graph showing the effect of different concentrations of NAD+ on formation of formazan dyes.



FIG. 6. Graph showing the effect of different concentrations of malate on formation of formazan dyes.



FIG. 7. Graph showing the effect of different concentrations of malate dehydrogenase on formation of formazan dyes.



FIG. 8. Graph showing bleeding and inflammation results.



FIG. 9A Graph showing reduction activities (relative fluorescence unit) in oral lavage.



FIG. 9B Graph showing reduction activities (absorbance) in oral lavage.





DETAILED DESCRIPTION OF THE INVENTION

The present invention includes methods of measuring the levels of a set of biomarkers in the gingiva. The set of biomarkers may include one or more metabolites, proteins, or messenger RNA (mRNA). Those metabolites and proteins have been shown to change in abundance at particular stages of treatment periods, or in in vitro models treated with different virulence factors, or human dental plaques. Accordingly, the set of metabolite biomarkers may be quantified to determine whether the gingiva has inflammation, whether the gingiva is under oxidative stresses or energy imbalance, and whether the gingiva has cellular damage or injuries.


The present invention demonstrates a role for metabolite and proteins biomarkers to serve as indicators of gingivitis at different stages, and indicators for gingival damage resulting from differing insults, such as oxidative stresses, high bacterial load, proinflammatory insults, energy imbalance or cellular injuries. The methods described herein demonstrate that either elevated or decreased levels of multiple metabolites and/or proteins can be used as a tool for accurately characterizing the quality of the gingiva, such as gingivitis.


Features of the compositions and methods are described below. Section headings are for convenience of reading and not intended to be limiting per se. The entire document is intended to be related as a unified disclosure, and it should be understood that all combinations of features described herein are contemplated, even if the combination of features are not found together in the same sentence, or paragraph, or section of this document. It will be understood that any feature of the methods or compounds described herein can be deleted, combined with, or substituted for, in whole or part, any other feature described herein.


All percentages and ratios used hereinafter are by weight of total composition, unless otherwise indicated. All percentages, ratios, and levels of ingredients referred to herein are based on the actual amount of the ingredient, and do not include solvents, fillers, or other materials with which the ingredient may be combined as a commercially available product, unless otherwise indicated.


All measurements referred to herein are made at 25° C. unless otherwise specified.


By “personal care composition” is meant a product, which in the ordinary course of usage is applied to or contacted with a body surface to provide a beneficial effect. Body surface includes skin, for example dermal or mucosal; body surface also includes structures associated with the body surface for example hair, teeth, or nails. Examples of personal care compositions include a product applied to a human body for improving appearance, cleansing, and odor control or general aesthetics. Non-limiting examples of personal care compositions include oral care compositions, such as, dentifrice, mouth rinse, mousse, foam, mouth spray, lozenge, chewable tablet, chewing gum, tooth whitening strips, floss and floss coatings, breath freshening dissolvable strips, denture care product, denture adhesive product; after shave gels and creams, pre-shave preparations, shaving gels, creams, or foams, moisturizers and lotions; cough and cold compositions, liquids, gels, gel caps, tablets, and throat sprays; leave-on skin lotions and creams, shampoos, body washes, body rubs, such as Vicks Vaporub; hair conditioners, hair dyeing and bleaching compositions, mousses, shower gels, bar soaps, antiperspirants, deodorants, depilatories, lipsticks, foundations, mascara, sunless tanners and sunscreen lotions; feminine care compositions, such as lotions and lotion compositions directed towards absorbent articles; baby care compositions directed towards absorbent or disposable articles; and oral cleaning compositions for animals, such as dogs and cats.


The term “dentifrice”, as used herein, includes tooth or subgingival—paste, gel, or liquid formulations unless otherwise specified. The dentifrice composition may be a single phase composition or may be a combination of two or more separate dentifrice compositions. The dentifrice composition may be in any desired form, such as deep striped, surface striped, multilayered, having a gel surrounding a paste, or any combination thereof. Each dentifrice composition in a dentifrice comprising two or more separate dentifrice compositions may be contained in a physically separated compartment of a dispenser and dispensed side-by-side.


As used herein, the term “oral cavity” means the part of the mouth including the teeth and gums and the cavity behind the teeth and gums that is bounded above by the hard and soft palates and below by the tongue and mucous membrane.


As used herein, the term “biomarker” means a substance that is objectively measured and evaluated as an indicator of normal biologic processes, pathogenic processes, treatment responses to chemical agents, or mechanical instruments. As used herein, biomarkers include, but are not limited to metabolites, proteins and messenger RNA (mRNA).


As used herein, the term “metabolite” means a substance that is objectively measured and evaluated as an indicator of normal biologic processes, pathogenic processes, treatment responses to chemical agents, or mechanical instruments; wherein said metabolites include, but are not limited to, a compound generated by lipid metabolism, protein metabolism, amino acid metabolism, carbohydrate metabolism, nuclear acid metabolism, or oxidative phosphorylation.


As used herein, the term “protein” means a substance that is objectively measured and evaluated as an indicator of normal biologic processes, pathogenic processes, treatment responses to chemical agents, or mechanical instruments; wherein the protein is a polymer consisting of more than three amino acids, including, but not limited to, enzymes, cytokines, chemokines, growth factors, cellular and extracellular proteins.


As used herein, the term “mRNA” means a substance that is a polymer of four ribonucleotides (adenine, uracil, guanine, cytosine), messenger RNA (mRNA) molecules convey genetic information from DNA to the ribosome, where they specify the amino acid sequence of the protein products of gene expression.


As used herein, the term “oral cavity sample” includes biological material isolated from one or more individuals; for example from gingivae, oral mucosa, mouth, supragingival space, or subgingival pockets, wherein gingival samples are isolated from gingivae, and buccal samples are isolated from oral mucosa; wherein oral lavage samples are collected from the mouth by rinsing the mouth with 3-6 ml of a selected solution, such as water; wherein gingival plaques are harvested from supragingival space and/or from subgingival pockets.


As used herein, the term “gum sensitivity” is a sensorial feeling, caused by activating transient receptor potential channel (TRP) V1 or TRPA1 on sensory neurons. Gum sensitivity is a common complaint due to inflammation, and can affect the area covering one or more teeth. Gum sensitivity is often noted when one eats or drinks something hot, cold, sweet, or sour; and can be experienced as a dull or sharp pain. The pain can begin suddenly and be felt deeply in the nerve endings of the tooth. Certain polyunsaturated fatty acids (PUFA), such as linoleic acid, arachidonic acid, hydroxyoctadecadienoic acid (HODE), and hydroxyeicosatetraenoic acid (HETE), are known to activate or sensitize TRPV1 and TRPA1. Certain oxidized lipids also activate TRPV1 and TRPA1 on sensory neurons, such as hydroxyoctadecadienoic acid (HODE) and hydroxyeicosatetraenoic acid (HETE), Prostaglandins, prostacyclins, and thromboxanes.


The term “low bleeder” refers to a panelist with three or less bleeding sites as assessed clinically from a dental probe pushed into the gingiva, generally referred to as bleeding on probing (BOP).


The term “high bleeder” refers to a panelist with twenty or more bleeding sites as determined clinically via BOP.


As used herein, the term “oxidative stress” is a threshold criteria based on panelists exhibiting an imbalance between the production of free radicals and the ability of the body to counteract or detoxify the reactive intermediates or to repair the resulting damage.


As used herein, the term “energy imbalance” or the term “mitochondrial dysfunction” means an imbalance of energy homeostasis. Mitochondria are found in every nucleated cell of the human body, and convert the energy of carbohydrate and fat into the ATP that powers most cellular functions. Both the citric acid cycle and β-oxidation of fatty acids are carried out in mitochondria. In gingivitis where gingivae are inflamed or damaged, AMP levels are high, meaning ATP production is impaired. Similarly, carnitine is a cofactor that helps carry fatty acid into mitochondria. Deoxycarnitine is an immediate precursor of carnitine.


As used herein, the term “glycolysis” means a series of biochemical reactions including, but not limited to, breakdown of glucose into pyruvate. It extends to include production of lactate and/or ethanol from pyruvate. Enzymes involved in the glycolysis process include hexokinase, phosphoglucose isomerase, phosphofructokinase, aldolase, triosephosphate isomerase, glyceraldehyde phosphate dehydrogenase, phosphoglycerate kinase, phosphoglycerate mutase, enolase, pyruvate dehydrogenase, lactate dehydrogenase and alcohol dehydrogenase.


As used herein, the term “cellular respiration” means a set of metabolic reactions to convert biochemical energy from nutrients into (ATP), carbon dioxide and water. This process includes three sub-pathways—pyruvate oxidation, the citric acid cycle and the electron transport chain. The citric acid cycle—also known as the tricarboxylic acid cycle (TCA cycle) and the Krebs cycle—is a series of enzyme-catalyzed catabolic reactions, breaking a six carbon molecule into a four carbon molecule and two molecules of carbon dioxides. The chemical reactions occur in the matrix of the mitochondrion of mammalian cells, and are catalyzed by citrate synthase, aconitase, isocitrate dehydrogenase, a-ketoglutarate dehydrogenase, succinyl coenzyme A synthetase, succinate dehydrogenase, fumarase, and malate dehydrogenase.


As used herein, the term “barrier function” means the defense function of epithelium against the environment, such as heat, dust, and microbes.


As used herein, the term “immunoassay” means any assay based on antibody-binding-to-specific targets, including, but not limiting to, ELISA (enzyme-linked immunosorbent assay) and immunoblotting. The targets can include, but are not limited to, proteins, peptides, fatty acids, carbohydrates, metabolites, and nucleic acids.


Certain embodiments of the present invention provide a method for collection of gingival brush samples. Gingival brush samples may be taken around a tooth or around the connecting areas between the gingiva and the tooth. In one or more embodiments, a collection device, such as an interdental gum brush or buccal brush may be used to collect gingival samples by swabbing back and forth multiple times with the brush-head oriented parallel to the gum line. A portion of the collection device that contacted the connecting areas between the gingiva and tooth may be detached and placed into a container; for example a brush head may be clipped off with a pair of sterile scissors and placed into a container, which may contain a buffer solution or an RNAlater solution.


As used herein, the term “oral lavage” means the fluid collected from the oral cavity. Oral lavage samples may be collected by rinsing the oval cavity with 4 ml of water for 30 seconds and then expectorating the contents of the mouth into a 15 ml centrifuge tube. Oral lavage contains both metabolites and proteins. Metabolites include, but are not limited to, malate, succinate, fumarate, lactate, and phosphoenolpyruvate, for example as shown in TABLE 24 herein. Those metabolites may be derived from glycolysis and citric acid cycle processes. Proteins in oral lavage samples may be composed of many enzymes, including lactate dehydrogenase, malate dehydrogenase, alcohol dehydrogenase and glyceraldehyde 3-phosphate dehydrogenase. They are involved in the glycolysis and citric acid cycle processes. Those enzymes can catalyze oxidation of the metabolites accompanied by reduction of NAD+ (oxidized nicotinamide adenine dinucleotide) into NADH (reduced nicotinamide adenine dinucleotide). In turn, NADH is oxidized into NAD+ accompanied by reduction of tetrazolium salts into formazan products. The latter display a variety of colors, such as yellow, purple and blue. Similarly, oxidization of NADH can also reduce resazurin (7-Hydroxy-3H-phenoxazin-3-one 10-oxide) into resorufin. Resazurin is a blue dye and weakly fluorescent. Upon reduction, resazurin is reduced to resorufin, which is pink and highly red fluorescent.


In certain embodiments of the present invention, a group of tetrazolium salts is used to detect the activities of enzymes that catalyze the biochemical reactions in glycolysis or cellular respiration. The tetrazolium salts are reduced by diaphorase to form formazan dyes in the presence of cofactors, examples of which include magnesium, rotenone, phosphate, and NADH (reduced nicotinamide adenine dinucleotide) or NADPH (reduced nicotinamide adenine dinucleotide phosphate). Enzymes in the oral lavage, gingival brush samples, and in supragingival and subgingival plaque samples can oxidize their relative substrates and also reduce NAD+ or NADP+ into NADH or NADPH. As a result, enzymes in the oral lavage samples, gingival brush samples, supragingival and subgingival samples can convert tetrazolium salts into formazan dyes in biochemical reactions containing malate, succinate, lactate, glycose, dihydroxyacetone phosphate, glyceraldehyde 3-phosphate, magnesium, rotenone, phosphate, NAD+, NADP and other related materials. The gingival brush samples from the unhealthy, gingivitis panelists contain more metabolic enzymes involved in the glycolysis and citric acid cycle processes and more metabolites derived from glycolysis and citric acid cycle processes than those of healthy panelists. Consequently, more enzymes in the gingivitis samples could elevate the conversion of NAD+ to NADH, and then increase reduction of tetrazolium salts and resazarin to formazan products and resorufin, respectively. As a result, more colored formazan and resorufin products are generated in gingivitis samples, forming the basis of diagnosis of gingivitis.


Tetrazolium salts are widely used for measuring the redox potential in biological samples, living cells and tissues. They are reduced to produce chromogenic formazan products by dehydrogenases, reductases and reducing agents. Formazan dyes display a broad spectrum of colors from dark blue, deep red, to orange, depending on the tetrazolium salt and the electron coupling reagents in the reaction. As used herein, the term “electron coupling reagent” means a material that mediates electron transfer between NADH or NADPH and various electron acceptors such as tetrazolium salts or resazurin. Electron coupling reagents include, but not limited to, 1-methoxy-5-methylphenazinium methyl sulfate (1-methoxyPMS), 5-methylphenazinium methyl sulfate (PMS), and diaphorase. Major tetrazolium salts include MTT (3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2H-tetrazolium bromide), INT (2-(4-Iodophenyl)-3-(4-nitrophenyl)-5-phenyl-2H-tetrazolium chloride), TTC (2,3,5-Triphenyl-2H-tetrazolium chloride), MTS (3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium), XTT (2,3-bis-(2-methoxy-4-nitro-5-sulfophenyl)-2H-tetrazolium-5-carboxanilide), and NBT (2,2′-bis(4-Nitrophenyl)-5,5′-diphenyl-3,3′-(3,3′-dimethoxy-4,4′-diphenylene) ditetrazolium chloride 3,3′-(3,3′-Dimethoxy-4,4′-biphenylene)bis[2-(4-nitrophenyl)-5-phenyl-2H-tetrazolium chloride]), MTS, 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium, inner salt.


In certain embodiments of the present invention a list of proteins has been identified which are either higher or lower in concentrations in the oral lavage of a high bleeder group than that of a low bleeder group. Similarly, a group of proteins has been discovered which are either increased or decreased after panelists with gingivitis were treated with a regimen. Proteins and enzymes which can be used in the methods of this invention include those listed in TABLE 1 and TABLE 23. Oral lavage may comprise microbial products, microbial toxins, live and dead microbes, mucosal fluid, gingival crevicular fluid, epithelial cells and their secreted products, infiltrated blood cells and their products, and secretions from salivary glands. Thus, there are a number of highly complex interactions amongst these various components that compose oral lavage. Undoubtedly, oral lavage can all be impacted differentially on the overall oral health status of the epithelium lining the oral cavity.


EXAMPLES

All EXAMPLES were run at room temperature (RT), standard pressure and atmosphere, unless otherwise noted. The water used in the EXAMPLES was deionized water, unless otherwise noted.


Example 1
A Method to Collect Oral Lavage to Assess Changes in Gingivitis-Related Molecular Markers

Assessing the degree of gingivitis in a person is generally done by a qualified examiner using clinical measures, such as gum redness, gum bleeding or pocket depth. While the measures are based on professionally developed scales, the actual values can vary due to differences between examiners. To reduce or remove these variances it is desirable to have objective readings from instruments that are free of differences between human examiners. The sample collection described below is quantifiable objective measurement of the degree of gingivitis.


A clinical study was conducted to evaluate sample collection methods and measurement procedures. It was a controlled, examiner-blind study. Forty panelists satisfying the inclusion/exclusion criteria were enrolled. Twenty (20) panelists were qualified as healthy—with up to 3 bleeding sites and with all pockets less than or equal to 2 mm deep and twenty (20) panelists were qualified as unhealthy—greater than 20 bleeding sites with at least 3 pockets greater than or equal to 3 mm but not deeper than 4 mm with bleeding, and at least 3 pockets less than or equal to 2 mm deep with no bleeding for sampling. All panelists had up to 6 sites identified as “sampling sites”. Sampling sites had supragingival and subgingival plaque collected at Baseline, Week 2 and Week 4, as described below. Supragingival and subgingival plaque samples were taken from a gingival sulcus of the pre-identified sites.


Supragingival Plague Sample: Plaque samples were collected using a sterile curette at each site. Samples were taken at the tooth/gum interface (supragingival gumline and interproximal, buccal surfaces only) using care to avoid contact with the oral soft tissues. Plaques were transferred to pre-labeled tubes. Supragingival samples were stored at −80° C. freezer until analysis.


Subgingival Sample: Subgingival plaque samples were taken from a gingival sulcus from the pre-identified bleeding and nonbleeding sites. Prior to sample collection, the site had supragingival plaque removed with a curette. The site was dried and subgingival plaque samples were collected with another dental curette. Samples from each site were placed in a pre-labeled 2.0 ml sterile tube containing PBS buffer with glass beads. Samples were stored at −80° C. until analysis.


Metabonomics: The samples were thawed at room temperature and dispersed in a TissueLyser II (Qiagen, Valencia, Calif., USA) at 30 shakes per second for 3 min Protein concentrations of the dispersed subgingival samples were measured using a Pierce microBCA Protein kit (ThermoFisher Scientific, Grand Island, N.Y., USA) following the manufacturer's instruction.


Oral lavage samples were collected at wake up (one per panelist) by rinsing with 4 ml of water for 30 seconds and then expectorating the contents of the mouth into a centrifuge tube. These samples were frozen at home until they were brought into a test site in a cold pack. Each panelist provided up to 15 samples throughout the study. Oral lavage samples at a test site were frozen at −70° C.


All panelists were given investigational products: Crest® Pro-Health Clinical Gum Protection Toothpaste (0.454% stannous fluoride) and Oral-B® Indicator Soft Manual Toothbrush. Panelists continued their regular oral hygiene routine, and did not use any new products starting from the baseline to the end of four week treatment study. During the four week treatment period, panelists brushed their teeth twice daily, morning and evening, in their customary manner using the assigned dentifrice and soft manual toothbrush.


Example 2
Changes of Modified Gingival Index (MGI) and Gingival Bleeding Index (GBI) after Four Week Application of Pro-Health Clinical Gum Protection Toothpaste

The clinical study was carried out with two groups of panelists as described in Example 1: low bleeders (healthy, non-gingivitis) and high bleeders (chronic gingivitis, unhealthy). All panelists used investigative products for four weeks, as described in Example 1. Modified gingival index (MGI) and gingival bleeding index (GBI) were determined prior to application of the investigative products (baseline), and at week 2 and week 4 of application of the investigative products. MGI was higher in the unhealthy (high bleeder) panelists than the healthy panelists (low bleeders), represented by U and H, respectively, in FIG. 1. MGI was reduced, as compared to baseline, during week 2 and 4 of application of the investigative products for both healthy and unhealthy panelists.


Similarly, gingival bleeding index (GBI) was higher in the unhealthy (high bleeder) panelists than the healthy panelists (low bleeders), represented by U and H, respectively, in FIG. 2A and 2B. GBI and the number of bleeding sites were reduced during week 2 and 4 of application of the investigative products for both healthy and unhealthy panelists.


Example 3
Proteins in Oral Lavage

Oral lavage samples were collected, as described as in Example 1, before treatment (baseline) and at the end of a four week application of investigative products. The oral lavage samples were divided into four groups: Low bleeder baseline, Low bleeder week 4, High bleeder baseline, and High bleeder week 4. Each group consists of 20 samples. Ten samples from each of the three sets of samples, including Low bleeder baseline, High bleeder baseline, and High bleeder week 4, were sent to SomaLogic, Inc. (Boulder, Colo.) for protein measurement.


Oral lavage contains proteins secreted from gingival epithelium, oral mucosa, infiltrated neutrophils, lymphocytes, and monocytes of blood. In addition, it also includes microbial proteins.


As shown in TABLE 1, enzymes involved in glycolysis, such as Glucose-6-phosphate isomerase, Fructose-bisphosphate aldolase A, triosephosphate isomerase, and Glyceraldehyde-3-phosphate dehydrogenase, Phosphoglycerate kinase 1, Phosphoglycerate mutase 1, were far more abundant in the oral lavage of high bleeders at baseline than of the low bleeders.


The biochemical profiles of oral lavage from 20 panelists with gingivitis (unhealthy, high bleeders) and 20 non-gingivitis (low bleeders) panelists were analyzed, prior to and following a 4 week toothpaste treatment. As can be seen in TABLE 1, many proteins were significantly (p≤0.05) different in concentrations between high and low bleeder panelists at baseline. Similarly, many proteins were found to be different in concentrations in the gingival brush samples between baseline and three weeks of treatment (TABLE 23). Some enzymes were found to be changed in concentrations in both oral lavage and gingival brush samples, such as triosephosphate isomerase, and malate dehydrogenase.









TABLE 1







Abundance of proteins in human oral lavage.










Fold Change
p-value














High
High
High
High




bleeder
bleeder
bleeder
bleeder



Means
W4
BL
W4
BL



(Original Scale)
vs
vs
vs
vs















Low
High
High
High
Low
High
Low



bleeder
bleeder
bleeder
bleeder
bleeder
bleeder
bleeder


Proteins
BL
BL
W4
BL
BL
BL
BL

















14-3-3 protein theta
838
5344
2603
0.57
5.73
0.08
0.00


26S proteasome non-ATPase
80
368
252
0.74
3.81
0.04
0.00


regulatory subunit 7


3-hydroxyanthranilate 3,4-
1631
13609
7138
0.56
8.00
0.06
0.00


dioxygenase


40S ribosomal protein S7
67
198
141
0.73
2.50
0.01
0.01


40S ribosomal protein SA
185
665
418
0.71
3.24
0.05
0.00


60 kDa heat shock protein,
236
421
319
0.79
1.86
0.03
0.02


mitochondrial


72 kDa type IV collagenase
1249
4284
2573
0.61
3.20
0.03
0.00


Adenylosuccinate lyase
241
1990
1160
0.63
6.74
0.07
0.00


ADP-ribosyl cyclase/cyclic
14521
35309
21260
0.59
2.53
0.01
0.01


ADP-ribose hydrolase 2


Agouti-related protein
33
53
44
0.85
1.55
0.05
0.00


Alanine aminotransferase 1
3829
14877
10506
0.71
4.42
0.02
0.00


Alcohol dehydrogenase
4061
34583
17004
0.37
22.75
0.20
0.00


[NADP(+)]


Alpha-(1,3)-fucosyltransferase 5
1516
8483
5258
0.82
5.83
0.57
0.01


Alpha-1-antitrypsin
1399
3598
1784
0.62
2.26
0.05
0.05


Alpha-2-HS-glycoprotein
3367
23244
12828
0.66
6.01
0.11
0.00


Alpha-enolase
110398
217066
170325
0.76
2.28
0.04
0.01


Amphiregulin
72
168
108
0.71
2.24
0.03
0.01


Amyloid beta A4 protein
51294
128850
81350
0.68
2.42
0.03
0.01


Angiotensinogen
13227
39831
25334
0.95
6.12
0.88
0.03


Annexin A6
2676
7520
4233
0.62
3.10
0.01
0.01


Antithrombin-III
1424
7388
2485
0.95
5.80
0.89
0.03


Arylsulfatase A
1559
5748
3387
0.58
4.58
0.03
0.00


Aspartate aminotransferase,
2562
8249
4985
0.62
3.15
0.01
0.02


cytoplasmic


ATP synthase subunit beta,
162
526
265
0.58
2.70
0.00
0.01


mitochondrial


ATP synthase subunit O,
331
469
325
0.70
1.47
0.02
0.10


mitochondrial


ATP-dependent RNA helicase
55
220
116
0.63
3.17
0.02
0.00


DDX19B


Bactericidal permeability-
23709
134635
77909
0.41
5.35
0.02
0.00


increasing protein


B-cell lymphoma 6 protein
5292
17925
6602
0.39
2.22
0.00
0.10


Bone morphogenetic protein 7
32
66
50
0.80
1.90
0.05
0.00


Brevican core protein
364
3617
1786
0.51
9.85
0.04
0.00


C3a anaphylatoxin des
3702
32149
17327
0.64
8.20
0.15
0.00


Arginine


Cadherin-5
252
1720
807
0.53
5.83
0.02
0.00


Calcineurin
311
2092
1313
0.71
5.64
0.29
0.00


Calcineurin subunit B type 1
2009
12624
4434
0.53
4.97
0.05
0.00


Calpain I
25144
112397
50592
0.51
5.97
0.02
0.00


cAMP-dependent protein
272
3400
998
0.63
7.15
0.24
0.01


kinase catalytic subunit alpha


Carbohydrate sulfotransferase
71
713
348
0.60
8.61
0.19
0.00


15


Carbonic anhydrase 6
161029
198844
226319
1.15
1.25
0.01
0.03


Caspase-10
2648
11989
6828
0.64
4.05
0.04
0.00


Caspase-2
64
110
88
0.82
1.68
0.02
0.00


Caspase-3
555
2391
1368
0.59
5.96
0.06
0.00


Cathepsin B
16350
16857
8354
0.53
1.01
0.00
0.98


Cathepsin F
1136
8192
3442
0.59
4.94
0.04
0.01


Cathepsin S
2396
18016
9075
0.65
7.16
0.13
0.00


Cation-independent mannose-
10151
35875
22743
0.68
3.20
0.05
0.00


6-phosphate receptor


CD109 antigen
233
512
302
0.61
2.24
0.01
0.01


CD166 antigen
2616
7301
4033
0.61
2.50
0.02
0.01


CD209 antigen
76
262
176
0.70
3.22
0.05
0.00


CD83 antigen
52
130
78
0.66
2.28
0.03
0.01


Chitotriosidase-1
14176
58999
41470
0.70
7.00
0.09
0.01


Chloride intracellular channel
108
787
349
0.61
5.88
0.22
0.00


protein 1


Choline/ethanolamine kinase
243
525
400
0.78
2.11
0.01
0.00


Chorionic
1638
10909
6769
0.70
5.58
0.13
0.00


somatomammotropin hormone


Clusterin
340
1890
1193
0.65
4.12
0.03
0.01


Coactosin-like protein
512
2271
1213
0.60
3.84
0.01
0.00


Cofilin-1
254
1143
622
0.62
3.94
0.01
0.00


Collagen alpha-1(XXIII) chain
106
289
174
0.64
2.61
0.01
0.01


Complement C1q
3534
31801
19342
0.89
8.65
0.75
0.00


subcomponent


Complement C1r
918
7672
2780
0.52
8.87
0.05
0.00


subcomponent


Complement C2
455
4609
1511
0.64
6.34
0.25
0.01


Complement C4
9814
53505
34190
0.73
5.62
0.21
0.00


Complement C5
1080
7106
3434
0.77
7.04
0.47
0.01


Complement component C9
7900
76942
31536
0.73
18.85
0.43
0.00


Complement decay-
85178
136366
106648
0.77
1.59
0.03
0.01


accelerating factor


Connective tissue-activating
311
2483
678
0.47
4.08
0.03
0.04


peptide III


Contactin-1
1919
9982
5517
0.60
4.20
0.04
0.00


Contactin-5
281
937
612
0.63
3.15
0.03
0.00


C-reactive protein
285
2929
1665
0.72
12.47
0.29
0.00


Creatine kinase M-
53
105
74
0.75
1.97
0.04
0.01


type:Creatine kinase B-type


heterodimer


Cryptic protein
478
1592
654
0.46
3.42
0.00
0.00


C-type mannose receptor 2
716
2270
1308
0.63
2.98
0.03
0.00


C-X-C motif chemokine 6
26
132
45
0.63
2.45
0.05
0.03


Cyclin-dependent kinase
89
246
167
0.69
2.58
0.02
0.00


inhibitor 1B


Cystatin-M
6730
17308
8283
0.50
2.72
0.00
0.01


Cystatin-SA
215101
216303
225660
1.04
1.01
0.00
0.86


Cysteine and glycine-rich
69
270
167
0.71
3.18
0.05
0.00


protein 3


Cytoskeleton-associated
1303
5329
3399
0.68
3.90
0.03
0.00


protein 2


D-dimer
2569
19261
8828
0.66
5.99
0.21
0.01


Desmocollin-3
201
752
317
0.53
2.67
0.01
0.03


Desmoglein-1
3634
12244
4796
0.44
3.45
0.00
0.00


Diablo homolog, mitochondrial
366
1487
827
0.60
3.96
0.01
0.00


Disintegrin and
113
768
530
0.74
6.05
0.31
0.00


metalloproteinase domain-


containing protein 9


DNA topoisomerase 1
79
399
193
0.59
4.09
0.04
0.00


Drebrin-like protein
809
2088
1305
0.67
2.37
0.01
0.00


Dual specificity mitogen-
34
96
69
0.74
2.47
0.01
0.00


activated protein kinase kinase 1


Dual specificity mitogen-
100
244
158
0.70
2.18
0.03
0.00


activated protein kinase kinase 4


E3 ubiquitin-protein ligase
40
78
57
0.77
1.95
0.03
0.01


Mdm2


EGF-containing fibulin-like
3473
29110
11693
0.50
6.80
0.05
0.00


extracellular matrix protein 1


Endoglin
31
55
38
0.72
1.65
0.04
0.01


Endoplasmic reticulum
1909
9255
5865
1.04
13.26
0.92
0.01


aminopeptidase 1


Endothelial cell-selective
1083
2472
1391
0.56
2.25
0.01
0.00


adhesion molecule


Endothelial monocyte-
468
2955
1541
0.60
4.67
0.02
0.00


activating polypeptide 2


Ephrin type-A receptor 1
375
605
371
0.59
2.13
0.02
0.04


Ephrin type-A receptor 2
16730
47551
26305
0.59
2.80
0.02
0.00


Ephrin type-B receptor 2
986
3011
1883
0.52
2.36
0.01
0.04


Ephrin type-B receptor 6
392
1464
755
0.54
3.50
0.03
0.00


Ephrin-A4
350
1384
729
0.55
3.60
0.04
0.00


Ephrin-B1
1760
5419
3253
0.64
2.92
0.03
0.00


Ephrin-B2
1236
2152
1295
0.59
1.91
0.01
0.01


Epidermal growth factor
4786
40558
18414
0.55
18.15
0.15
0.00


Epidermal growth factor
4814
12139
7779
0.62
2.72
0.02
0.01


receptor


Epiregulin
365
923
545
0.68
2.08
0.02
0.03


Fatty acid-binding protein,
3121
6011
3062
0.53
2.38
0.04
0.04


heart


Fibroblast growth factor 10
32
52
41
0.82
1.56
0.01
0.00


Fibronectin
19501
81632
58452
0.92
6.50
0.80
0.01


Ficolin-1
329
5106
1286
0.57
6.22
0.13
0.01


Formimidoyltransferase-
89
202
110
0.59
2.01
0.02
0.01


cyclodeaminase


Fructose-bisphosphate aldolase A
33774
255824
179719
0.68
18.59
0.08
0.00


Galectin-10
75
349
146
0.49
3.52
0.00
0.00


Galectin-7
219
697
435
0.68
2.83
0.01
0.00


Gamma-enolase
200
420
244
0.62
2.36
0.05
0.02


Glucose-6-phosphate
1781
22949
20969
1.57
10.27
0.51
0.07


isomerase


Glutamate carboxypeptidase 2
38
72
137
1.89
1.83
0.01
0.01


Glutathione S-transferase P
39413
49555
36219
0.69
1.64
0.02
0.10


Glyceraldehyde-3-phosphate
12144
106769
85859
0.44
14.20
0.10
0.00


dehydrogenase


Granulocyte colony-
121
504
268
0.61
3.52
0.03
0.00


stimulating factor


Granulocyte colony-
166
327
219
0.70
1.90
0.03
0.00


stimulating factor receptor


Granulocyte-macrophage
1747
3974
2161
0.61
2.41
0.04
0.09


colony-stimulating factor


Growth arrest-specific protein 1
433
2909
1272
0.49
5.48
0.02
0.00


Growth/differentiation factor 5
260
511
423
0.80
1.89
0.04
0.00


Growth-regulated alpha protein
270
3896
649
0.48
5.15
0.05
0.02


GTP-binding nuclear protein
254
5086
2502
0.55
22.19
0.23
0.00


Ran


Haptoglobin
68133
128447
99492
0.71
2.07
0.01
0.07


Heat shock 70 kDa protein 1A
16620
87728
63420
0.67
6.33
0.12
0.00


Heat shock protein beta-1
84
216
124
0.61
2.28
0.01
0.00


Heat shock protein HSP 90-
1417
31849
8692
0.47
18.08
0.21
0.00


alpha/beta


Heat shock protein HSP 90-
13991
114383
53401
0.61
11.49
0.27
0.00


beta


HemK methyltransferase
689
2638
1424
0.62
3.51
0.02
0.00


family member 2


Hemopexin
662
2677
1383
0.64
6.00
0.14
0.01


Hepatocyte growth factor-like
131
2399
580
0.61
9.38
0.19
0.00


protein


HERV-H LTR-associating
226
1034
623
0.64
4.01
0.03
0.00


protein 2


High affinity nerve growth
428
919
590
0.67
2.06
0.04
0.00


factor receptor


Histone H1.2
14
29
18
0.68
1.93
0.01
0.04


Histone-lysine N-
79
224
154
0.72
2.52
0.02
0.00


methyltransferase EHMT2


ICOS ligand
13720
80395
51085
0.73
5.66
0.23
0.00


Iduronate 2-sulfatase
738
1631
1106
0.70
2.21
0.01
0.00


Immunoglobulin M
31428
97097
62055
0.61
3.51
0.02
0.01


Importin subunit alpha-1
52
182
84
0.53
3.19
0.00
0.00


Inhibitor of growth protein 1
369
1046
592
0.58
2.67
0.02
0.00


Inorganic pyrophosphatase
1342
4082
1645
0.49
3.73
0.01
0.02


Insulin-like growth factor I
1140
6949
2357
0.45
4.98
0.02
0.00


Insulin-like growth factor-
13120
36296
21609
0.65
2.49
0.05
0.01


binding protein 5


Insulin-like growth factor-
761
2178
1237
0.63
2.37
0.05
0.03


binding protein 6


Insulin-like growth factor-
578
2441
760
0.39
3.09
0.01
0.01


binding protein 7


Integrin alpha-I: beta-1
948
11211
6351
0.58
6.43
0.07
0.01


complex


Intercellular adhesion molecule 2
507
4810
1913
0.55
6.58
0.06
0.00


Interferon gamma
87
658
263
0.53
5.99
0.04
0.00


Interferon regulatory factor 1
165
2361
954
0.64
7.66
0.10
0.00


Interleukin-1 alpha
1194
1989
1071
0.51
1.86
0.00
0.06


Interleukin-1 beta
152
397
228
0.60
2.54
0.01
0.00


Interleukin-1 Receptor
1501
5433
2418
0.52
3.72
0.02
0.00


accessory protein


Interleukin-1 receptor
142737
169211
155231
0.91
1.20
0.04
0.01


antagonist protein


Interleukin-1 receptor-like 2
506
1304
898
0.67
2.67
0.04
0.00


Interleukin-24
65
111
87
0.81
1.70
0.03
0.00


Interleukin-27
46
130
82
0.69
2.65
0.02
0.00


Interleukin-3 receptor subunit
89
190
120
0.66
2.03
0.01
0.00


alpha


Interleukin-36 beta
3545
8814
5962
0.68
2.65
0.04
0.00


Interleukin-6 receptor subunit
21961
63627
40305
0.62
2.76
0.03
0.00


beta


Kallikrein-12
523
22605
9720
0.76
6.84
0.38
0.04


Kallikrein-13
16522
53398
32056
0.65
3.40
0.04
0.00


Kallikrein-6
280
1014
468
0.55
3.37
0.01
0.00


Kallikrein-8
15860
33249
19220
0.67
1.84
0.01
0.10


Kelch-like ECH-associated
82
312
187
0.63
3.50
0.01
0.00


protein 1


Kininogen-1
13797
95635
35597
0.52
8.91
0.08
0.01


Kunitz-type protease inhibitor 1
2020
4290
2333
0.55
2.09
0.00
0.04


Kunitz-type protease inhibitor 2
304
414
303
0.76
1.32
0.00
0.22


Latent-transforming growth
770
3512
1923
0.57
4.42
0.05
0.00


factor beta-binding protein 4


Layilin
342
635
374
0.61
1.89
0.00
0.01


Legumain
23410
65072
41251
0.66
2.73
0.01
0.00


Leptin
179
952
526
0.61
4.44
0.02
0.00


Leukemia inhibitory factor
228
1001
562
0.58
3.76
0.02
0.00


receptor


Lipopolysaccharide-binding
305
6694
1807
0.37
13.95
0.02
0.00


protein


Lithostathine-1-alpha
5643
7884
4725
0.58
1.81
0.03
0.17


L-lactate dehydrogenase B
20548
269414
220227
0.88
20.02
0.58
0.00


chain


Low-density lipoprotein
197
477
292
0.62
2.52
0.02
0.00


receptor-related protein 1,


soluble


Low-density lipoprotein
3273
31383
24064
0.94
7.51
0.81
0.00


receptor-related protein 1B


Lumican
5119
35877
11354
0.42
6.31
0.01
0.01


Ly6/PLAUR domain-
138269
166337
140608
0.83
1.23
0.01
0.03


containing protein 3


Macrophage colony-
2422
6274
4163
0.66
2.61
0.03
0.00


stimulating factor 1


Macrophage mannose receptor 1
223
852
434
0.58
3.34
0.05
0.01


Macrophage metalloelastase
2096
16571
5282
0.48
6.43
0.05
0.00


Malate dehydrogenase,
12672
256310
185328
0.41
208.97
0.29
0.00


cytoplasmic


Matrilin-2
2992
17458
8756
0.63
7.28
0.12
0.00


Matrilysin
3498
25019
19110
1.05
6.34
0.89
0.00


Mitogen-activated protein
129
1159
457
0.65
6.92
0.33
0.01


kinase 1


Mitogen-activated protein
55
239
108
0.58
3.23
0.02
0.00


kinase 11


Mitogen-activated protein
596
5862
3068
0.60
15.65
0.38
0.00


kinase 14


Mitogen-activated protein
305
2149
953
0.62
6.58
0.30
0.01


kinase 3


Mitogen-activated protein
1367
2969
1342
0.57
1.74
0.00
0.05


kinase 9


Muellerian-inhibiting factor
671
1634
1097
0.72
2.57
0.03
0.01


Myc proto-oncogene protein
42
71
54
0.77
1.67
0.04
0.01


N-acetyl-D-glucosamine
283
2839
1570
0.48
12.44
0.13
0.00


kinase


N-acylethanolamine-
121
1737
606
0.52
6.62
0.04
0.00


hydrolyzing acid amidase


NAD-dependent protein
3074
7030
4631
0.67
2.21
0.00
0.00


deacetylase sirtuin-2


NADPH--cytochrome P450
221
1621
1355
0.54
10.71
0.18
0.00


reductase


Natural cytotoxicity triggering
45
77
55
0.76
1.66
0.01
0.01


receptor 2


Netrin-1
71
321
167
0.64
3.82
0.04
0.00


Neuregulin-1
107
251
142
0.60
2.07
0.02
0.01


Neurexophilin-1
135
377
224
0.66
2.43
0.01
0.00


Neurogenic locus notch
2264
12232
5959
0.54
4.76
0.02
0.00


homolog protein 3


Neutrophil collagenase
9187
21211
4713
0.48
2.96
0.03
0.24


Neutrophil gelatinase-
209403
290631
182049
0.55
1.71
0.01
0.13


associated lipocalin


Neutrophil-activating peptide 2
259
2147
569
0.45
4.62
0.03
0.04


Nidogen-1
157
526
329
0.65
3.12
0.04
0.00


NSFL1 cofactor p47
570
1799
924
0.57
3.16
0.03
0.00


Nucleoside diphosphate kinase A
6942
14841
8700
0.69
2.30
0.02
0.02


Nucleoside diphosphate kinase B
342
1205
913
0.76
6.98
0.17
0.00


Osteocalcin
986
3206
1808
0.63
3.38
0.03
0.01


Osteomodulin
301
2109
736
0.51
4.01
0.02
0.03


Oxidized low-density
10913
68060
43398
0.79
7.00
0.46
0.00


lipoprotein receptor 1


Parathyroid hormone
32
97
58
0.67
2.54
0.02
0.00


Parathyroid hormone-related
45
102
74
0.76
2.19
0.02
0.00


protein


Peptidyl-prolyl cis-trans
41428
237334
210485
0.86
14.17
0.71
0.00


isomerase A


Peptidyl-prolyl cis-trans
534
9535
4115
0.58
17.73
0.21
0.00


isomerase F, mitochondrial


Peroxiredoxin-1
30663
62705
33782
0.53
2.55
0.03
0.02


Peroxiredoxin-6
9404
22914
15898
0.64
2.62
0.02
0.03


Phosphoglycerate mutase 1
7725
52081
19944
0.17
25.56
0.08
0.00


Plasma kallikrein
4040
46557
15193
0.73
9.09
0.46
0.01


Plasma protease C1 inhibitor
1321
13980
8339
0.79
5.77
0.46
0.02


Plasminogen activator inhibitor 1
39
100
67
0.72
2.40
0.05
0.00


Platelet factor 4
131
405
200
0.61
2.33
0.04
0.01


Platelet receptor Gi24
2622
7220
4528
0.62
2.74
0.01
0.00


Platelet-activating factor
1218
6029
3019
0.55
4.50
0.02
0.00


acetylhydrolase IB subunit beta


Pleiotrophin
9417
20915
10949
0.58
2.15
0.01
0.03


Plexin-B2
32750
72614
47158
0.61
2.28
0.01
0.00


PolyUbiquitin K63-linked
10517
27725
14663
0.54
3.06
0.01
0.00


Prefoldin subunit 5
349
1191
775
0.65
3.12
0.02
0.00


Properdin
7086
52072
29032
0.81
5.80
0.43
0.01


Proteasome activator complex
84
180
96
0.64
1.85
0.03
0.02


subunit 3


Proteasome subunit alpha type-1
2767
18422
8281
0.41
8.33
0.00
0.00


Proteasome subunit alpha type-2
1058
3457
1924
0.53
4.39
0.00
0.01


Proteasome subunit alpha type-6
139
392
224
0.65
2.77
0.02
0.01


Protein deglycase DJ-1
788
1197
455
0.36
2.67
0.00
0.03


Protein E7_HPV18
200
493
249
0.66
2.26
0.04
0.03


Protein FAM107B
115
190
157
0.84
1.65
0.02
0.00


Protein S100-A12
42367
90312
37426
0.38
2.33
0.00
0.02


Protein S100-A7
2514
12300
5172
0.25
1.89
0.00
0.27


Protein S100-A9
25886
39861
15320
0.30
2.27
0.00
0.13


Prothrombin
4336
27146
10978
0.56
6.53
0.08
0.00


Proto-oncogene tyrosine-
224
1690
697
0.51
6.85
0.09
0.00


protein kinase Src


Pyridoxal kinase
281
2457
1778
0.54
12.00
0.38
0.01


Rab GDP dissociation inhibitor
49425
173349
149926
0.90
6.49
0.61
0.00


beta


RAC-alpha/beta/gamma
166
602
268
0.54
3.77
0.03
0.00


serine/threonine-protein kinase


Ras-related C3 botulinum toxin
3799
37672
20914
0.91
9.95
0.81
0.00


substrate 1


Repulsive guidance molecule A
2620
10483
5917
0.62
3.69
0.04
0.00


RGM domain family member B
1389
9860
4375
0.52
6.17
0.03
0.00


Ribosomal protein S6 kinase
12
27
18
0.73
2.12
0.03
0.00


alpha-5


Ribosome maturation protein
230
595
263
0.60
2.55
0.04
0.02


SBDS


RNA-binding protein 39
276
2206
1128
0.48
6.91
0.06
0.00


Secreted and transmembrane
400
1633
905
0.64
3.57
0.03
0.00


protein 1


Secreted frizzled-related
1212
4666
2482
0.59
3.68
0.02
0.00


protein 1


Semaphorin-6A
396
3637
2503
0.68
11.58
0.18
0.00


Serine protease 27
7376
10968
6186
0.55
1.83
0.00
0.03


Serine/threonine-protein kinase
138
350
231
0.73
2.31
0.04
0.01


16


Serine/threonine-protein kinase
115
348
231
0.69
2.84
0.03
0.00


PAK 7


Serum amyloid P-component
17509
83820
38594
0.54
6.00
0.01
0.00


S-formylglutathione hydrolase
122
455
283
0.62
4.02
0.03
0.00


Sialic acid-binding Ig-like
1489
1602
996
0.70
1.43
0.02
0.37


lectin 14


Signal transducer and activator
554
5042
2798
0.60
9.28
0.18
0.00


of transcription 3


Signal transducer and activator
438
2367
2358
0.79
7.44
0.43
0.00


of transcription 6


SLAM family member 7
561
996
712
0.76
1.66
0.04
0.01


Small nuclear
143
755
413
0.62
4.40
0.02
0.00


ribonucleoprotein F


Small ubiquitin-related
15775
42271
24878
0.63
3.03
0.04
0.00


modifier 3


Somatostatin-28
48
171
96
0.65
3.00
0.02
0.00


SPARC-related modular
8240
25985
17574
0.66
2.94
0.04
0.00


calcium-binding protein 1


S-phase kinase-associated
1572
3493
1881
0.57
1.97
0.01
0.01


protein 1


Stabilin-2
140
291
205
0.75
2.19
0.05
0.01


Stanniocalcin-1
896
11768
3794
0.45
9.04
0.04
0.00


Stress-induced-phosphoprotein 1
4297
16420
9806
0.53
5.59
0.03
0.00


Stromelysin-2
217
2793
1746
0.45
8.04
0.05
0.00


SUMO-conjugating enzyme
14235
69920
44705
0.68
6.93
0.09
0.00


UBC9


Superoxide dismutase [Cu—Zn]
1625
1468
489
0.29
1.49
0.00
0.40


Superoxide dismutase [Mn],
14640
25375
18580
0.72
1.86
0.01
0.00


mitochondrial


Tenascin
1484
11450
4204
0.59
6.06
0.09
0.00


Testican-1
3587
23537
13734
0.61
6.23
0.02
0.00


Thioredoxin domain-
7236
33968
18352
0.57
6.16
0.04
0.00


containing protein 12


Thrombospondin-4
235
1702
608
0.52
5.93
0.05
0.00


Tissue Factor
106
174
133
0.78
1.64
0.01
0.01


T-lymphocyte surface antigen
481
1717
877
0.55
3.27
0.02
0.01


Ly-9


Transcription factor IIIB 90 kDa
118
362
255
0.74
2.92
0.03
0.00


subunit


Transforming growth factor-
209
770
446
0.62
3.15
0.02
0.00


beta-induced protein ig-h3


Transgelin-2
43038
117595
74493
0.62
3.36
0.03
0.00


Triosephosphate isomerase
13987
199036
137411
0.63
15.87
0.11
0.00


Tropomyosin alpha-4 chain
3524
21810
7848
0.38
6.73
0.01
0.00


Troponin I, cardiac muscle
58
304
158
0.63
3.57
0.01
0.00


Trypsin-1
423
1882
1012
0.61
3.94
0.02
0.03


Trypsin-2
125
335
221
0.66
2.30
0.03
0.01


Tumor necrosis factor receptor
198
437
255
0.58
2.01
0.00
0.00


superfamily member 14


Tumor necrosis factor receptor
63
208
119
0.65
2.82
0.02
0.00


superfamily member 18


Tumor necrosis factor receptor
5149
15394
8811
0.65
2.68
0.05
0.01


superfamily member 21


Tumor necrosis factor receptor
586
1977
1099
0.60
3.04
0.04
0.00


superfamily member 6


Tyrosine-protein kinase CSK
522
4148
1086
0.39
14.80
0.13
0.00


Tyrosine-protein kinase Lyn
107
727
457
0.55
10.17
0.15
0.00


Tyrosine-protein kinase Lyn,
567
4095
2475
0.53
15.37
0.19
0.00


isoform B


Tyrosine-protein kinase
50
95
67
0.74
1.82
0.03
0.00


receptor TYRO3


Tyrosine-protein phosphatase
670
5104
3229
0.66
12.44
0.04
0.00


non-receptor type substrate 1


Ubiquitin carboxyl-terminal
2687
8790
4911
0.62
3.47
0.02
0.00


hydrolase isozyme L1


Ubiquitin-conjugating enzyme
355
1599
890
0.62
4.04
0.02
0.00


E2 G2


Ubiquitin-fold modifier-
2760
7435
3140
0.48
2.23
0.01
0.14


conjugating enzyme 1


Vascular endothelial growth
1882
5151
3283
0.66
2.62
0.03
0.00


factor A, isoform 121


Vascular endothelial growth
61
296
144
0.54
4.24
0.02
0.00


factor D


Vesicular integral-membrane
107
689
356
0.62
4.42
0.03
0.00


protein VIP36


Vitamin K-dependent protein S
3768
26044
11517
0.49
5.90
0.04
0.00


Vitronectin
648
1831
1169
0.70
2.55
0.01
0.00


von Willebrand factor
1535
10477
4655
0.84
6.12
0.63
0.02


WNT1-inducible-signaling
63
194
123
0.70
2.78
0.03
0.00


pathway protein 3


X-linked interleukin-1 receptor
112
347
224
0.70
2.77
0.04
0.00


accessory protein-like 2









Example 4
Malate Dehydrogenase, Triosephosphate Isomerase and Catalase Activities in the Oral Lavage

Oral lavage samples were collected, as described in Example 1, before treatment (baseline) and at the end of four week application of investigative products. The oral lavage samples were divided into four groups: Low bleeder baseline, Low bleeder week 4, High bleeder baseline, and High bleeder week 4. Each group consisted of 20 samples. All oral lavage samples were analyzed for malate dehydrogenase activities using malate dehydrogenase activity assay kit following manufacturer's instructions (Abcam, Cambridge, Mass.). All reagents were provided in the assay kit, including malate dehydrogenase assay buffer, enzyme mix, developer and substrate. A reaction buffer was prepared by adding 62 μl of malate dehydrogenase assay buffer, 2 μl of enzyme mix, 10 μl of developer, and 2 μl substrate to a well in a 96-well plate. Ten μl of oral lavage samples were finally added to the well. The reaction plate was set at room temperature for an hour, and absorbance was measured at 450 nM in a spectrometry plate reader (Spectra Max M3, Molecular Devices, Sunnyvale, Calif.).


As shown in TABLE 2, the activity of malate dehydrogenase in the oral lavage was higher at baseline in the high bleeder group than the low bleeder group. Treatment with investigative products (Crest® Pro-Health Clinical Gum Protection Toothpaste with 0.454% stannous fluoride and Oral-B® Indicator Soft Manual Tooth blush) reduced the activity at baseline in the high bleeder group.









TABLE 2







Malate dehydrogenase activity: absorbance was measured


at 450 nM at 60 min after substrates were added.










Group













High bleeder

Low bleeder




OD at 60 Min

OD at 60 Min













Time Point
Mean
Std Err
Mean
Std Err







Baseline
0.40
0.04
0.27
0.02



Week 4
0.30
0.02
0.27
0.02










All oral lavage samples were also analyzed for triosephosphate isomerase (TPI) activities using triosephosphate isomerase assay kit following manufacturer's instructions (BioVision, Inc. Milpitas, Calif.). All reagents were provided in the assay kit, including TPI assay buffer, enzyme mix, developer and substrate. A reaction buffer was prepared by adding 84 μl TPI assay buffer, 2 μl enzyme mix, 2 μl developer, and 2 μl substrate to a well in a 96-well plate. Ten μl of oral lavage samples were finally added to the well. The reaction plate was set at room temperature for an hour, and absorbance was measured at 450 nM in a spectrometry plate reader (Spectra Max M3, Molecular Devices, Sunnyvale, Calif.).


As shown in TABLE 3, the activity of triosephosphate isomerase in the oral lavage was higher at baseline in the high bleeder group than the low bleeder group. Treatment with investigative products (Crest® Pro-Health Clinical Gum Protection Toothpaste with 0.454% stannous fluoride and Oral-B® Indicator Soft Manual Tooth blush) reduced the activity at baseline in the high bleeder group.









TABLE 3







Triose phosphate isomerase activity: absorbance was measured


at 450 nM at 60 min after substrates were added.












High bleeder

Low bleeder




OD at 10 min

OD at 10 min













Time Point
Mean
Std Err
Mean
Std Err







Baseline
0.25
0.03
0.15
0.01



Week 4
0.19
0.02
0.14
0.01










All oral lavage samples were analyzed for catalase activities using catalase activity assay kit following manufacturer's instructions (BioVision, Inc. Milpitas, Calif.). Briefly, all reagents were provided in the assay kit, including catalase assay buffer, OxiRed probe, horseradish peroxidase, hydrogen peroxide, and stop solution. Ten μl of oral lavage samples were first added to the wells in a 96-well plate. Then 12 μl of 1 mM hydrogen peroxide was added. The plate was set at 25° C. for 30 min. Next 10 μl stop solution was added to stop the reaction. To develop the color, a developer mix was added. The developer mix contained 2 μl OxiRed probe, 2 μl horseradish peroxidase, and 64 μl assay buffer. The reaction was carried out at 25° C. for 10 min, and products formed in the reaction were measured at 570 nM in a plate reader (Spectra Max M3, Molecular Devices, Sunnyvale, Calif.). Catalase activities were calculated as nmol/min/mL of hydrogen peroxide in the test samples following manufacturer's instruction.


As shown in TABLE 4, the activities of catalases in the oral lavage were higher at baseline in the high bleeder group than the low bleeder group. Treatment with investigative products (Crest® Pro-Health Clinical Gum Protection Toothpaste with 0.454% stannous fluoride and Oral-B® Indicator Soft Manual Tooth blush) reduced the activity at baseline in the high bleeder group.









TABLE 4







Catalase activity: absorbance was measured at 570 nM. Catalase


activity was calculated at nmol/min/mL of hydrogen peroxide.












High bleeder

Low bleeder




Catalase Activity

Catalase Activity



nmol/min/mL

nmol/min/mL













Time Point
Mean
Std Err
Mean
Std Err







Baseline
39.52
7.41
29.06
5.25



Week 4
29.51
6.38
26.88
5.23










Example 5
Characterization of Tetrazolium Salts in Color Formation

A group of water-soluble tetrazolium salts (WSTs), including WST-1, 3, 4, 5, 8, 9, 10 and 11, were developed by introducing positive or negative charges and hydroxy groups to the phenyl ring of the tetrazolium salt. Those WSTs are easily reduced with NADH or other reducing agents to give orange or purple formazan dyes. Recently, a new water soluble tetrazolium was synthesized, and it is called EZMTT (Zhang W, Zhu M, Wang F, Cao D, Ruan J J, Su W, Ruan B H. Mono-sulfonated tetrazolium salt based NAD(P)H detection reagents suitable for dehydrogenase and real-time cell viability assays. Anal Biochem. 2016 Sep. 15; 509:33-40. doi: 10.1016/j.ab.2016.06.026. Epub 2016 Jul. 4). This new tetrazolium salt gives rise to orange color when reduced to form formazan dyes.


MTT assay is commonly used to determine cell viability, cell proliferation, and drug toxicity. MTT can enter into mitochondria and be reduced directly without any help from electron coupling agents. It can also be reduced by cytoplasmic dehydrogenases and reductases. When reduced in a cell, MTT forms an insoluble dark blue precipitate.


INT can also be used to measure cell viability in the presence of an electron coupling agent. It is usually used to determine activities of various dehydrogenases and reductases, which convert NAD to NADH, or NADP to NADPH. INT is reduced to form a cherry red formazan product. TTC is used to determine metabolic activities in cells and tissue. It's often employed to differentiate between metabolically active and inactive tissues. The white compound is enzymatically reduced to red formazan salts (1,3,5-triphenylformazan) in living tissues by dehydrogenases and reductases. However, it remains as white TTC in necrotic tissues which are deficient in active dehydrogenases and reductases. This color difference renders the TTC dye popular in heart research for identification of infarcted tissue caused by acute myocardial ischemia.


NBT (nitro-blue tetrazolium chloride) is widely employed in immunologic assays for detection of alkaline phosphatase. The combination of NBT and BCIP (5-bromo-4-chloro-3′-indolyphosphate p-toluidine salt) yields an intense, insoluble black-purple precipitate when reacted with alkaline phosphatase, a popular enzyme conjugate for antibody probes. Here, NBT serves as the chromogenic substrate and BCIP is the substrate for alkaline phosphate.


MTS assay was used to quantify cell numbers, based on the conversion of a tetrazolium salt into a colored, aqueous soluble formazan product by mitochondrial activity of viable cells. The amount of formazan produced by dehydrogenases and reductases is directly proportional to the number of metabolically active cells in culture. The MTS assay reagents were composed of solutions of MTS and an electron coupling reagent (PMS, phenazine methosulfate), which is required as a redox intermediary.


Another electron coupling reagent 1-methoxy phenazinium methylsulfate (PMS) is widely used as an electron carrier for NAD(P)H-tetrazolium reactions. It is easily dissolved in water and alcohol. Its redox potential is +63 mV. 1-methoxy PMS solution can be stored at room temperature for over 3 months without protection from light. Therefore, it is a useful regent for NAD(P)H-tetrazolium-based assay systems. Diaphorase, another electron coupling reagent, is often used to catalyze the transfer of electrons from NAD(P)H to tetrazolium salts.


To optimize assay conditions for detecting redox potentials of oral lavage samples, various tetrazolium salts were characterized in the presence of either diaphorase or 1-methoxy PMS. The assay system contained 0-100 units of diaphorase, 0-100 units of malate dehydrogenase, 1-300 mM malate, 0-80 mM NAD+, 0-40 mM NADH, 1-20 mM MgCl2, 0.1-20 mM Tetrazolium salts and 0-4 mM 1-methoxy-5-methylphenazinium methyl sulfate (1-methoxy PMS) in potassium phosphate 100 mM, pH 7.5. Diaphorase from Clostridium kluyveri, L-malate dehydrogenase (pig heart), NADH, MTT, INT, 1-methoxy PMS, XTT, NBT, TTC and NAD were purchased from Sigma-Aldrich (St. Louis, Mo.) as shown in TABLE 5, Potassium Phosphate Stock Solution (500 mM, pH 7.0) and Potassium Phosphate Stock Solution (500 mM, pH 8.0) were purchase from Cayman Chemical Company (Ann Arbor, Mich.). WST-1, 4, 5, 8, and 9 were purchased from Dojindo Molecular Technologies, Inc. (Rockville, Md.). The assay was run at room temperature for up to 24 hours in a kinetic mode. The absorbance reading was taken in every 30 or 60 min in a spectrometry plate reader (Spectra Max M3, Molecular Devices, Sunnyvale, Calif.).












TABLE 5





COMPOUND/CHEMICAL
FUNCTION
VENDOR
CAT #







Diaphorase (Clostridium kluyveri)
Electron
Cayman
14671 - 1 kU



Carrier


DIAPHORASE FROM CLOSTRIDIUM KLUYVERI
Electron
Sigma
D5540-



Carrier

500UN


Iodonitrotetrazolium chloride: 2-(4-Iodophenyl)-3-(4-
Dye
Sigma
10406-5 G


nitrophenyl)-5-phenyl-2H-tetrazolium chloride, p-


Iodonitrotetrazolium Violet, INT


Iodonitrotetrazolium (chloride): 2-(4-iodophenyl)-3-(4-
Dye
Cayman
16073 - 5 g


nitrophenyl)-5-phenyl-2H-tetrazolium, monochloride


Magnesium Chloride (anhydrous)
Buffer
Sigma
M2670-500 G


Mallic Acid Sodium Salt
Buffer
Sigma
M1125-100 G


1-Methoxy PMS: 1-Methoxy-5-methylphenazinium methyl
Electron
Sigma
M8640-


sulfate
Carrier

100 MG


L-malate dehydrogenase, (PIG HEART)
Control
Sigma
10127248001





5 MG


L-malate dehydrogenase, (PIG HEART), 25 MG
Control
Sigma
10127914001


Lipoamide dehydrogenase
Electron
Calzyme
153A0025



Carrier


MTS: 3-(4,5-dimethylthiazol-2-yl)-5-(3-
Dye
Bio Vision
2808-250


carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium,


inner salt


MTT: 3-(4,5-Dimethyl-2-thiazolyl)-2,5-diphenyl-2H-
Dye
Dojindo
M009


tetrazolium bromide


NADH, APPROX. 100% (nicotinamide adenine dinucleotide
Control
Sigma
10107735001


(NAD) + hydrogen (H))


NAD, APPROX. 100%, GRADE I, LYO.5 G (Nicotinamide
Control
Sigma
10127973001


adenine dinucleotide)


Nitro Blue Tetrazolium: 3,3′-[3,3′-Dimethoxy-(1,1′-
Dye
Sigma
N5514-


biphenyl)-4,4′-diyl]-bis[2-(4-nitrophenyl)-5-phenyl-2H-


25TAB


tetrazolium chloride


Nitro-TB: 3,3′-[3,3′-Dimethoxy-(1,1′-biphenyl)-4,4′-diyl]-
Dye
Dojindo
N011


bis[2-(4-nitrophenyl)-5-phenyl-2H-tetrazolium chloride


OXALOACETIC ACID 1PC X 5 GM

Sigma
5000-5 GM


Phenazine Methosulfate
Electron
Sigma
P9625-10 G



Carrier


Phenazine Ethosulfate
Electron
Sigma
P4544-1 G



Carrier


Potassium Phosphate Stock Solution (500 mM, pH 7.0)
Buffer
Cayman
600208 - 500





mL


Potassium Phosphate Stock Solution (500 mM, pH 8.0)
Buffer
Cayman
600209 - 500





mL


Tetrazolium Violet: 2,5-Diphenyl-3-(α-naphthyl)tetrazolium
Dye
Sigma
T0138-1 G


chloride, 2,5-Diphenyl-3-(1-naphthyl)tetrazolium chloride,


TV


Triosephosphate Isomerase: D-Glyceraldehyde-3-phosphate

Sigma
T2507-10 MG


ketol-isomerase, TPI


TTC: 2,3,5-Triphenyl-tetrazolium chloride solution
Dye
Sigma
17779-10 ML-





F


WST-1: 2-(4-Iodophenyl)-3-(4-nitrophenyl)-5-(2,4-
Dye
Bio Vision
2198-30


disulfophenyl)-2H-tetrazolium, monosodium salt


WST-4: 2-Benzothiazoryl-3-(4-carboxy-2-methoxyphenyl)-
Dye
Dojindo
W203


5-[4-(2-sulfoethylcarbamoyl)phenyl]-2H-tetrazolium


WST-5: 2,2′-Dibenzothiazolyl-5,5′-bis[4-di(2-
Dye
Dojindo
W204


sulfoethyl)carbamoylphenyl]-3,3′-(3,3′-dimethoxy 4,4′-


biphenylene)ditetrazolium, disodium salt


WST-8: 5-(2,4-disulfophenyl)-3-(2-methoxy-4-nitrophenyl)-
Dye
Cayman
18721 - 100


2-(4-nitrophenyl)-2H-tetrazolium, inner salt, monosodium salt


mg


WST-9: 2-(4-Nitrophenyl)-5-phenyl-3-[4-(4-
Dye
Dojindo
W217


sulfophenylazo)-2-sulfophenyl]-2H-tetrazolium, monosodium


salt


XTT: 2,3-Bis(2-methoxy-4-nitro-5-sulfophenyl)-2H-
Dye
Sigma
X4626-


tetrazolium-5-carboxanilide inner salt


100 MG


Rotenone

Sigma
R8875-1 G









First, UV absorbance analysis was carried out. Different tetrazolium salts (2 mM) were added to an assay buffer containing 2 mM NADH, 4 mM NAD, 5 mM MgCl2, 0.2 mM 1-methoxy 5-methylphenazinium methyl sulfate (1-methoxy PMS), 15 mM malate, 5 units of malate dehydrogenase, and 5 μg diaphorase. The reactions were performed at room temperature, and absorbance was taken every hour.


As shown in TABLE 6, each tetrazolium salt produced formazan products with different colors and distinctive absorbance wavelength (nM). MTT, Nitro-TB, WST-9 and INT form precipitates in the presence of 1-methoxy PMS. WST-1, 4, 5 and 8 form water-soluble formazan products. As shown in FIGS. 3A and 3B, each tetrazolium salt generated its own distinctive pattern of absorbance at different wavelength in the reaction buffer containing disphorase.













TABLE 6









Wave






length





Wave length
(nM) in




Tetra-
(nM) in
presence of




zolium
presence of
1-methoxy


CAS #
Structure
dye
Diaphorase
PMS







150849- 52-8


embedded image


WST-1
440
440





178925- 54-7


embedded image


WST-4
565
565





178925- 55-8


embedded image


WST-5
570
570





193149- 74-5


embedded image


WST-8
460
460





847986- 47-4


embedded image


WST-9
545
545





1997299- 51-0


embedded image


EZMTT
460
460





146-68-9


embedded image


INT
500
500





298-93-1


embedded image


MTT
565
565





138169- 43-4


embedded image


MTS
485
485





111072- 31-2


embedded image


XTT
460
460





298-83-9


embedded image


Nitro-TB
550
550









Next, the rate of formazan formation was examined in the presence of either 1-methoxy PMS or diaphorase, or in the presence of NADP, or in the presence of NADP generation system contains malate dehydrogenase, malate and NAD+. Again, different tetrazolium salts (2 mM) were added to an assay buffer containing 2 mM NADH, 4 mM NAD, 5 mM MgCl2, 15 mM malate, 5 units of malate dehydrogenase, and 5 μg diaphorase or 0.2 mM 1-methoxy 5-methylphenazinium methyl sulfate (1-methoxy PMS). The reactions were performed at room temperature (around 22° C.). Absorbance was taken at every hour.


As shown in TABLE 7, all the tetrazolium salts were reduced to form formazan dyes immediately after adding NADH and diaphorase. WST-9 took about an hour to be completely reduced to formazan dyes.









TABLE 7







Formation of formazan dyes in the presence of NADH and diaphorase, but in the absence


of malate. The absorbance was measured at the time indicated. Each mean and standard deviation


(STDEV) were derived from three experiments.









Tetrazolium
Means
STDEV

























dye
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h





WST-1
3.54
3.60
3.59
3.60
3.59
3.59
3.55
3.52
3.45
0.13
0.14
0.12
0.13
0.10
0.11
0.10
0.15
0.19


WST-4
1.96
2.01
2.04
2.08
2.20
2.25
2.29
2.30
2.32
0.13
0.12
0.12
0.15
0.08
0.08
0.08
0.10
0.11


WST-5
2.81
2.81
2.79
2.78
2.86
2.83
2.77
2.74
2.66
0.18
0.19
0.17
0.16
0.08
0.17
0.24
0.35
0.41


WST-8
3.54
3.72
3.77
3.77
3.63
3.64
3.66
3.65
3.67
0.30
0.25
0.23
0.24
0.18
0.13
0.11
0.17
0.18


WST-9
1.48
2.08
2.08
2.02
1.97
1.90
1.90
1.91
1.84
0.84
0.32
0.22
0.21
0.25
0.23
0.26
0.31
0.31


INT
2.03
2.14
2.13
1.99
2.07
2.04
2.07
2.00
2.10
0.03
0.07
0.05
0.11
0.02
0.03
0.14
0.00
0.07


XTT
2.22
2.35
2.36
2.32
2.40
2.39
2.45
2.45
2.46
0.20
0.07
0.08
0.11
0.07
0.06
0.09
0.06
0.03


Nitro-TB
1.49
1.71
1.73
1.71
1.74
1.86
1.83
1.85
1.82
0.25
0.05
0.07
0.10
0.08
0.01
0.07
0.02
0.12


MTS
3.21
3.24
3.22
3.20
3.27
3.29
3.28
3.28
3.28
0.07
0.08
0.11
0.10
0.01
0.04
0.08
0.06
0.07


MTT
2.00
2.04
1.94
1.77
1.77
1.62
1.57
1.55
1.43
0.10
0.07
0.07
0.07
0.01
0.00
0.06
0.09
0.07









As shown in TABLE 8, all the tetrazolium salts were reduced to form formazan dyes immediately after adding NADH and diaphorase as observed in TABLE 7. Again, WST-9 took about an hour to be completely reduced to formazan dyes. In the presence of malate, a lower level of WST-1 was reduced to formazan dyes.









TABLE 8







Formation of formazan dyes in the presence of NADH, diaphorase, and malate. The


absorbance was measured at the time indicated. Each mean and STDEV were derived from three


experiments.









Tetrazolium
Means
STDEV

























dye
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h





WST-1
2.63
2.60
2.59
2.57
2.55
2.52
2.48
2.44
2.38
0.25
0.09
0.10
0.12
0.17
0.21
0.26
0.30
0.39


WST-4
1.92
1.91
1.91
1.89
1.97
1.94
1.92
1.88
1.83
0.14
0.14
0.15
0.16
0.11
0.15
0.20
0.25
0.32


WST-5
2.62
2.48
2.44
2.41
2.45
2.41
2.36
2.31
2.26
0.12
0.09
0.12
0.16
0.18
0.24
0.30
0.37
0.44


WST-8
3.06
3.36
3.47
3.53
3.50
3.54
3.54
3.51
3.45
0.15
0.17
0.17
0.17
0.17
0.22
0.30
0.39
0.50


WST-9
0.85
1.34
1.41
1.38
1.39
1.34
1.30
1.28
1.24
0.72
0.38
0.23
0.22
0.26
0.24
0.25
0.26
0.31


INT
1.78
1.80
1.80
1.81
1.93
1.99
2.03
2.08
2.12
0.05
0.04
0.07
0.08
0.01
0.02
0.01
0.01
0.02


XTT
1.95
2.20
2.18
2.17
2.23
2.28
2.33
2.41
2.45
0.41
0.09
0.09
0.10
0.03
0.02
0.03
0.01
0.02


Nitro-TB
1.03
1.15
1.16
1.17
1.22
1.27
1.33
1.37
1.42
0.19
0.04
0.04
0.08
0.00
0.00
0.01
0.00
0.02


MTS
3.01
3.01
3.00
3.00
3.07
3.09
3.17
3.08
3.20
0.10
0.08
0.08
0.10
0.18
0.14
0.10
0.17
0.29


MTT
1.70
1.71
1.68
1.64
1.79
1.77
1.73
1.68
1.64
0.10
0.12
0.12
0.17
0.02
0.02
0.01
0.00
0.00









TABLE 9 showed that malate dehydrogenase may reduce some tetrazolium dyes in the absence of substrate malate. WST-1, 4, 5, 8 and 9 were partially reduced in the presence of malate dehydrogenase and diaphorase, while INT, XTT, Nitro-TB, MTS and MTT remained largely in oxidized forms.


TABLE 9 Formation of formazan dyes in the presence of Malate dehydrogenase and diaphorase, but in the absence of malate. The absorbance was measured at the time indicated. Each mean and STDEV were derived from three experiments.









TABLE 9







Formation of formazan dyes in the presence of Malate dehydrogenase and diaphorase,


but in the absence of malate. The absorbance was measured at the time indicated. Each mean and


STDEV were derived from three experiments.









Tetrazolium
Means
STDEV

























dye
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h





WST-1
0.76
1.13
1.28
1.38
1.47
1.60
1.71
1.78
1.75
0.16
0.10
0.11
0.05
0.08
0.11
0.08
0.07
0.07


WST-4
0.51
0.83
0.99
1.06
1.17
1.24
1.35
1.44
1.47
0.12
0.08
0.05
0.04
0.03
0.04
0.07
0.09
0.14


WST-5
0.83
1.35
1.58
1.74
1.86
2.06
2.24
2.33
2.33
0.27
0.19
0.16
0.14
0.19
0.23
0.27
0.33
0.42


WST-8
1.13
1.84
2.15
2.32
2.41
2.62
2.72
2.80
2.89
0.32
0.17
0.10
0.14
0.17
0.08
0.09
0.16
0.15


WST-9
0.39
0.60
0.66
0.67
0.69
0.72
0.77
0.77
0.81
0.12
0.10
0.09
0.08
0.07
0.04
0.04
0.08
0.05


INT
0.15
0.22
0.22
0.20
0.21
0.14
0.11
0.12
0.12
0.06
0.07
0.06
0.08
0.11
0.05
0.01
0.01
0.02


XTT
0.39
0.44
0.46
0.50
0.50
0.54
0.57
0.58
0.66
0.06
0.08
0.07
0.06
0.11
0.09
0.08
0.15
0.02


Nitro-TB
0.15
0.20
0.23
0.25
0.36
0.39
0.40
0.41
0.42
0.05
0.07
0.07
0.07
0.03
0.04
0.04
0.04
0.05


MTS
0.17
0.24
0.22
0.25
0.21
0.22
0.23
0.26
0.25
0.03
0.06
0.07
0.03
0.04
0.02
0.01
0.00
0.02


MTT
0.21
0.29
0.24
0.19
0.15
0.17
0.20
0.18
0.21
0.06
0.05
0.08
0.06
0.00
0.03
0.12
0.02
0.02









If malate was added to the system as shown in TABLE 10, INT, MTT, XTT, Nitro-TB and MTS were converted to reduced formazan dyes in a time-dependent manner WST-1, 4, 5 and 8 were also converted to reduced formazan dyes in a time-dependent fashion. However, WST-9 remained largely as an oxidized salt.









TABLE 10







Formation of formazan dyes in the presence of Malate dehydrogenase, diaphorase, and malate. The absorbance


was measured at the time indicated. Each mean and STDEV were derived from three experiments.









Tetrazolium
Means
STDEV

























dye
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h




























WST-1
0.84
1.15
1.31
1.44
1.53
1.69
1.81
1.90
1.96
0.14
0.11
0.11
0.12
0.16
0.20
0.25
0.29
0.34


WST-4
0.51
0.81
0.99
1.13
1.25
1.43
1.57
1.68
1.75
0.16
0.12
0.11
0.11
0.14
0.16
0.18
0.22
0.28


WST-5
0.75
1.32
1.67
1.93
2.04
2.20
2.34
2.49
2.60
0.30
0.27
0.28
0.28
0.26
0.30
0.43
0.52
0.55


WST-8
1.13
1.93
2.36
2.65
2.86
3.12
3.26
3.30
3.28
0.41
0.31
0.27
0.25
0.29
0.27
0.28
0.31
0.37


WST-9
0.36
0.59
0.71
0.80
0.86
0.97
1.04
1.10
1.13
0.20
0.17
0.18
0.19
0.26
0.28
0.29
0.30
0.32


INT
0.78
1.26
1.57
1.81
2.24
2.71
3.11
3.44
3.66
0.22
0.05
0.07
0.13
0.00
0.02
0.00
0.01
0.04


XTT
1.21
1.98
2.41
2.71
3.02
3.54
3.86
3.90
3.80
0.47
0.23
0.16
0.15
0.04
0.04
0.05
0.08
0.09


Nitro-TB
0.56
0.88
1.08
1.23
1.46
1.73
1.95
2.16
2.35
0.18
0.07
0.05
0.10
0.00
0.02
0.05
0.06
0.06


MTS
1.72
2.67
2.93
3.12
3.48
3.67
3.73
3.74
3.71
0.61
0.04
0.13
0.15
0.00
0.04
0.05
0.01
0.00


MTT
0.75
1.29
1.61
1.81
2.25
2.67
2.94
3.07
3.10
0.26
0.07
0.05
0.15
0.01
0.02
0.05
0.04
0.03









Part of the oral lavage samples from the high bleeder group, collected from Example 1, were pooled and used for the enzymatic assays. The pooled oral lavage samples, containing various enzymes and proteins, were added to the assay buffer, which contained 2 mM NADH, 4 mM NAD, 5 mM MgCl2, 15 mM malate, 5 units of malate dehydrogenase, and 5 μg diaphorase or 0.2 mM 1-methoxy 5-methylphenazinium methyl sulfate (1-methoxy PMS). As shown in TABLE 11, WST-1, 4, 5 and 8 were partially reduced to formazan dyes. Similarly, INT, XTT, Nitro-TB, MTS and MTT were also changed to formazan dyes in a significant amount. It should also be noted that the oral lavage also contains a small amount of malate.









TABLE 11







Formation of formazan dyes in the presence of oral lavage and diaphorase, but not malate. The absorbance


was measured at the time indicated. Each mean and STDEV were derived from three experiments.









Tetrazolium
Means
STDEV

























dye
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h




























WST-1
1.01
1.24
1.28
1.30
1.29
1.42
1.34
1.31
1.42
0.14
0.09
0.10
0.09
0.22
0.08
0.18
0.33
0.25


WST-4
0.55
0.74
0.76
0.80
0.78
0.88
0.90
0.87
0.93
0.08
0.07
0.12
0.07
0.09
0.13
0.12
0.19
0.16


WST-5
0.60
0.72
0.77
0.80
0.78
0.83
0.84
0.81
0.80
0.04
0.05
0.09
0.10
0.11
0.17
0.16
0.19
0.24


WST-8
0.59
0.83
0.87
0.84
0.82
0.88
1.00
1.00
1.01
0.06
0.09
0.11
0.10
0.09
0.13
0.12
0.20
0.27


WST-9
0.45
0.63
0.64
0.67
0.59
0.62
0.71
0.64
0.67
0.06
0.09
0.12
0.15
0.13
0.20
0.14
0.22
0.18


INT
0.64
0.92
1.04
1.01
1.18
1.32
1.35
1.43
1.48
0.08
0.06
0.09
0.29
0.09
0.10
0.16
0.18
0.09


XTT
0.80
0.98
1.04
0.99
1.18
1.24
1.26
1.27
1.28
0.05
0.08
0.09
0.13
0.10
0.05
0.07
0.12
0.07


Nitro-TB
0.56
0.79
0.85
0.81
0.88
0.87
0.88
0.86
0.87
0.10
0.15
0.21
0.22
0.12
0.09
0.14
0.10
0.12


MTS
0.70
0.86
0.91
1.00
1.13
1.18
1.21
1.25
1.27
0.08
0.19
0.26
0.23
0.28
0.32
0.32
0.33
0.25


MTT
0.97
1.29
1.49
1.52
1.69
1.82
1.76
1.91
1.94
0.18
0.19
0.21
0.23
0.15
0.17
0.37
0.34
0.22









Interestingly, addition of malate in the assay system increased the rate of formazan formation in the presence of oral lavage, even though the increase was small, as shown in TABLE 12.









TABLE 12







Formation of formazan dyes in the presence of oral lavage, malate and diaphorase. The absorbance


was measured at the time indicated. Each mean and STDEV were derived from three experiments.









Tetrazolium
Means
STDEV

























dye
0 h
1 h
2h
3 h
4 h
6 h
8 h
10 h
12 h
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h




























WST-1
0.88
1.19
1.19
1.23
1.39
1.31
1.52
1.61
1.75
0.18
0.09
0.08
0.15
0.11
0.16
0.27
0.37
0.37


WST-4
0.44
0.56
0.63
0.67
0.77
0.83
0.89
0.96
0.95
0.09
0.11
0.11
0.10
0.10
0.07
0.17
0.23
0.21


WST-5
0.57
0.74
0.80
0.75
0.67
0.85
0.90
1.02
1.08
0.13
0.05
0.11
0.17
0.09
0.23
0.09
0.18
0.25


WST-8
0.51
0.70
0.80
0.84
0.85
0.91
1.05
1.09
1.33
0.12
0.07
0.14
0.16
0.15
0.21
0.19
0.28
0.26


WST-9
0.46
0.56
0.57
0.61
0.65
0.58
0.63
0.64
0.78
0.11
0.13
0.13
0.16
0.20
0.23
0.20
0.19
0.16


INT
0.52
0.81
0.92
0.96
1.10
1.20
1.44
1.84
2.37
0.07
0.12
0.17
0.35
0.11
0.13
0.03
0.08
0.09


XTT
0.75
0.88
0.94
0.98
1.19
1.41
1.73
1.90
2.08
0.10
0.09
0.11
0.17
0.03
0.16
0.03
0.02
0.14


Nitro-TB
0.52
0.75
0.80
0.75
0.88
1.00
1.09
1.20
1.30
0.10
0.07
0.08
0.13
0.05
0.03
0.01
0.08
0.09


MTS
0.68
0.93
1.07
1.14
1.34
1.56
1.84
2.10
2.27
0.15
0.28
0.30
0.39
0.28
0.38
0.52
0.66
0.59


MTT
0.77
1.15
1.36
1.52
1.65
1.94
2.11
2.41
2.72
0.16
0.23
0.28
0.27
0.27
0.29
0.27
0.14
0.08









If NADH and malate dehydrogenase are not added, diaphorase could not convert tetrazolium salts into formazan dyes in the absence of NADH as shown in TABLE 13 and TABLE 14.









TABLE 13







Formation of formazan dyes in the presence of only diaphorase, but not malate. The absorbance


was measured at the time indicated. Each mean and STDEV were derived from three experiments.









Tetrazolium
Means
STDEV

























dye
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h




























WST-1
0.41
0.60
0.66
0.69
0.70
0.71
0.73
0.69
0.67
0.16
0.10
0.09
0.10
0.03
0.08
0.09
0.10
0.14


WST-4
0.22
0.35
0.40
0.40
0.38
0.30
0.32
0.36
0.39
0.06
0.03
0.03
0.05
0.06
0.06
0.10
0.08
0.14


WST-5
0.25
0.30
0.35
0.32
0.32
0.38
0.41
0.38
0.36
0.07
0.02
0.05
0.07
0.05
0.11
0.14
0.11
0.12


WST-8
0.22
0.38
0.46
0.48
0.43
0.46
0.44
0.44
0.47
0.09
0.06
0.06
0.06
0.07
0.10
0.18
0.16
0.10


WST-9
0.19
0.28
0.29
0.30
0.29
0.28
0.27
0.31
0.27
0.06
0.04
0.03
0.06
0.08
0.14
0.11
0.06
0.08


INT
0.14
0.25
0.23
0.24
0.24
0.25
0.23
0.20
0.24
0.04
0.03
0.02
0.10
0.09
0.00
0.01
0.09
0.12


XTT
0.41
0.49
0.52
0.54
0.54
0.60
0.63
0.64
0.67
0.03
0.04
0.05
0.11
0.11
0.07
0.06
0.07
0.11


Nitro-TB
0.15
0.19
0.21
0.21
0.31
0.33
0.34
0.36
0.37
0.04
0.05
0.05
0.07
0.03
0.03
0.03
0.03
0.03


MTS
0.16
0.25
0.26
0.22
0.17
0.20
0.16
0.13
0.14
0.02
0.05
0.05
0.03
0.02
0.11
0.05
0.01
0.01


MTT
0.21
0.27
0.23
0.24
0.17
0.14
0.23
0.22
0.24
0.06
0.05
0.09
0.04
0.01
0.02
0.14
0.01
0.02
















TABLE 14







Formation of formazan dyes in the presence of only diaphorase and malate. The absorbance was


measured at the time indicated. Each mean and STDEV were derived from three experiments.









Tetrazolium
Means
STDEV

























dye
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h




























WST-1
0.20
0.22
0.23
0.24
0.24
0.25
0.26
0.27
0.27
0.02
0.02
0.02
0.01
0.01
0.02
0.02
0.03
0.04


WST-4
0.08
0.10
0.12
0.14
0.16
0.19
0.23
0.26
0.27
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.03


WST-5
0.09
0.12
0.15
0.18
0.21
0.23
0.26
0.29
0.32
0.03
0.02
0.03
0.02
0.03
0.04
0.04
0.04
0.04


WST-8
0.10
0.14
0.16
0.19
0.21
0.26
0.31
0.35
0.38
0.03
0.02
0.02
0.02
0.02
0.02
0.01
0.02
0.01


WST-9
0.07
0.08
0.09
0.10
0.12
0.14
0.15
0.16
0.18
0.02
0.02
0.02
0.02
0.01
0.01
0.01
0.02
0.02


INT
0.08
0.10
0.12
0.13
0.18
0.23
0.25
0.28
0.33
0.02
0.02
0.02
0.03
0.00
0.00
0.02
0.06
0.11


XTT
0.39
0.45
0.48
0.53
0.52
0.57
0.63
0.69
0.73
0.07
0.07
0.07
0.06
0.04
0.06
0.05
0.07
0.08


Nitro-TB
0.07
0.08
0.09
0.10
0.13
0.16
0.18
0.19
0.21
0.02
0.02
0.02
0.02
0.00
0.01
0.01
0.01
0.00


MTS
0.16
0.22
0.27
0.32
0.46
0.57
0.68
0.79
0.93
0.06
0.05
0.04
0.04
0.01
0.04
0.07
0.08
0.00


MTT
0.08
0.11
0.13
0.14
0.20
0.24
0.25
0.28
0.31
0.01
0.02
0.02
0.03
0.01
0.01
0.01
0.01
0.01









Next examined was the effect of 1-methoxy PMS on formation of formazan dyes in the presence of NADH. WST-8 was converted to formazan dyes quickly in the presence of 1-methoxy PMS in the absence of malate (TABLE 15) or in the presence of malate (TABLE 16). MTT, Nitro-TB and INT formed precipitates when both 1-methoxy PMS and NADH were added in the absence of malate (TABLE 15) or in the presence of malate (TABLE 16). WST-9 also formed precipitated products.









TABLE 15







Formation of formazan dyes in the presence of NADH and 1-methoxy PMS, but in the absence of malate. The


absorbance was measured at the time indicated. Each mean and STDEV were derived from three experiments.









Tetrazolium
Means
STDEV

























dye
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h




























WST-1
2.52
2.71
2.59
2.80





0.33
0.13
0.11
0.22







WST-4
1.52
1.57
1.57
1.64





0.05
0.06
0.08
0.07







WST-5
2.12
2.14
2.18
2.22





0.08
0.06
0.11
0.15







WST-8
3.65
3.66
3.66
3.67





0.28
0.31
0.33
0.33







WST-9
1.36
1.47
1.44
1.33





0.18
0.08
0.07
0.05







INT
0.96
0.91
0.95
0.94
0.66
0.77
0.75
0.78
0.98
0.26
0.19
0.25
0.13
0.16
0.11
0.14
0.23
0.33


XTT
1.87
1.98
2.08
2.12
2.06
2.20
2.22
2.33
2.32
0.16
0.18
0.15
0.13
0.09
0.06
0.05
0.06
0.04


Nitro-TB
0.99
1.56
1.76
1.66
2.13
1.50
1.30
1.79
1.55
0.28
0.17
0.57
0.52
0.25
0.04
0.09
0.05
0.18


MTS
2.31
2.55
2.60
2.59
2.63
2.65
2.69
2.67
2.65
0.41
0.41
0.34
0.37
0.01
0.05
0.06
0.05
0.02


MTT
0.91
0.69
0.70
0.78
0.91
0.76
0.69
0.73
0.68
0.21
0.15
0.11
0.20
0.14
0.18
0.17
0.15
0.02
















TABLE 16







Formation of formazan dyes in the presence of NADH, malate and 1-methoxy PMS. The absorbance


was measured at the time indicated. Each mean and STDEV were derived from three experiments.









Tetrazolium
Means
STDEV

























dye
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h




























WST-1
1.83
1.81
1.79
1.79





0.09
0.09
0.08
0.09







WST-4
1.32
1.31
1.29
1.30





0.04
0.04
0.04
0.04







WST-5
1.84
1.84
1.84
1.84





0.05
0.05
0.05
0.03







WST-8
3.37
3.42
3.41
3.42





0.12
0.04
0.03
0.06







WST-9
0.78
0.83
0.80
0.81





0.14
0.03
0.05
0.04







INT
0.81
0.83
0.78
0.78
0.47
0.52
0.70
0.72
0.94
0.23
0.35
0.44
0.44
0.12
0.08
0.46
0.23
0.19


XTT
1.51
1.56
1.61
1.67
1.56
1.80
1.94
2.02
2.15
0.20
0.18
0.19
0.17
0.05
0.04
0.07
0.07
0.19


Nitro-TB
0.61
1.02
1.38
1.22
1.65
1.63
1.20
1.15
1.13
0.10
0.20
0.43
0.42
0.37
0.77
0.13
0.47
0.34


MTS
2.33
2.41
2.44
2.47
2.27
2.38
2.41
2.45
2.40
0.27
0.23
0.23
0.20
0.10
0.13
0.15
0.23
0.12


MTT
0.61
0.45
0.48
0.46
0.30
0.53
0.39
0.60
0.53
0.17
0.11
0.15
0.19
0.02
0.29
0.06
0.13
0.25









Malate dehydrogenase can oxidize malate and reduce NAD+ to NADH+H at the same time. Without malate in the assay medium, the rate and extent of tetrazolium reduction did not change as shown in TABLE 17. It is worth noting that malate dehydrogenase alone did not catalyze the reduction of WST-1, 4, 5, and 8 even in the presence of electron coupling reagent 1-methoxy PMS (TABLE 17). However, the combination of malate dehydrogenase and diaphorase was able to catalyze the reduction of WST-1, 4, 5 and 8 as shown in TABLE 10.









TABLE 17







Formation of formazan dyes in the presence of Malate dehydrogenase and 1-Methoxy PMS, but in the absence of malate.


The absorbance was measured at the time indicated. Each mean and STDEV were derived from three experiments.









Tetrazolium
Means
STDEV

























dye
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h




























WST-1
0.51
0.71
0.59
0.90





0.12
0.10
0.30
0.03







WST-4
0.27
0.29
0.31
0.38





0.02
0.08
0.09
0.06







WST-5
0.24
0.37
0.41
0.43





0.03
0.11
0.10
0.10







WST-8
0.35
0.47
0.47
0.47





0.06
0.07
0.09
0.07







WST-9
0.33
0.45
0.45
0.54





0.05
0.04
0.12
0.08







INT
0.33
0.43
0.42
0.42
0.37
0.38
0.43
0.45
0.52
0.06
0.06
0.05
0.06
0.07
0.03
0.03
0.07
0.04


XTT
0.61
0.72
0.80
0.82
0.84
0.85
0.85
0.91
0.93
0.14
0.06
0.03
0.01
0.00
0.01
0.08
0.11
0.12


Nitro-TB
0.31
0.40
0.39
0.35
0.35
0.36
0.32
0.41
0.40
0.06
0.05
0.06
0.04
0.01
0.04
0.01
0.10
0.08


MTS
0.34
0.36
0.33
0.33
0.41
0.48
0.48
0.52
0.51
0.07
0.12
0.07
0.09
0.01
0.08
0.05
0.00
0.04


MTT
0.41
0.46
0.44
0.40
0.36
0.37
0.43
0.46
0.53
0.11
0.05
0.04
0.03
0.05
0.04
0.01
0.04
0.02









In the presence of malate, malate dehydrogenase produced NADH+H by oxidizing malate. The rate and extent of tetrazolium reduction were increased as shown in TABLE 18.









TABLE 18







Formation of formazan dyes in the presence of Malate dehydrogenase, malate and 1-Methoxy PMS. The absorbance


was measured at the time indicated. Each mean and STDEV were derived from three experiments.









Tetrazolium
Means
STDEV

























dye
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h




























WST-1
0.51
0.64
0.72
0.79





0.12
0.07
0.05
0.05







WST-4
0.61
1.03
1.28
1.48





0.27
0.15
0.12
0.09







WST-5
0.83
1.50
1.88
2.18





0.44
0.25
0.19
0.15







WST-8
1.38
2.47
2.99
3.41





0.71
0.30
0.15
0.06







WST-9
0.20
0.21
0.22
0.24





0.03
0.02
0.01
0.02







INT
0.68
0.90
0.86
0.88
0.76
0.75
0.65
0.65
0.55
0.24
0.05
0.04
0.07
0.02
0.04
0.11
0.13
0.02


XTT
2.09
3.28
3.71
3.96
4.00
4.00
4.00
4.00
4.00
0.87
0.57
0.35
0.06
0.00
0.00
0.00
0.00
0.00


Nitro-TB
0.51
0.84
1.29
1.40
1.21
1.27
1.25
1.22
1.33
0.17
0.15
0.14
0.24
0.14
0.04
0.11
0.05
0.42


MTS
2.40
3.33
3.42
3.38
3.38
3.27
3.26
3.18
3.09
0.90
0.18
0.03
0.04
0.04
0.03
0.02
0.02
0.09


MTT
0.88
0.98
1.25
1.48
1.47
1.50
1.46
1.41
1.38
0.26
0.06
0.13
0.10
0.06
0.06
0.11
0.10
0.14









Oral lavage contains both malate dehydrogenase and malate. Adding oral lavage alone promoted the change of tetrazolium salts into colored formazan products as shown in TABLE 19.









TABLE 19







Formation of formazan dyes in the presence of oral lavage and 1-Methoxy PMS, but in the absence of malate.


The absorbance was measured at the time indicated. Each mean and STDEV were derived from three experiments.









Tetrazolium
Means
STDEV

























dye
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h




























WST-1
1.19
1.52
1.61
1.76





0.34
0.06
0.10
0.12







WST-4
0.78
1.07
1.15
1.22





0.14
0.05
0.04
0.02







WST-5
0.77
1.11
1.29
1.39





0.12
0.11
0.13
0.13







WST-8
1.03
1.38
1.68
1.86





0.19
0.13
0.34
0.37







WST-9
1.02
1.26
1.28
1.57





0.23
0.14
0.27
0.37







INT
0.80
1.27
1.46
1.55
1.67
1.98
1.99
2.21
2.31
0.21
0.10
0.07
0.08
0.03
0.01
0.00
0.05
0.03


XTT
1.14
1.84
2.15
2.45
2.79
3.06
3.19
3.38
3.32
0.36
0.19
0.29
0.39
0.13
0.16
0.30
0.10
0.05


Nitro-TB
0.52
0.58
0.61
0.63
0.60
0.63
0.68
0.73
0.82
0.04
0.04
0.05
0.06
0.13
0.15
0.12
0.14
0.06


MTS
0.87
1.50
1.82
2.08
1.94
2.32
2.51
2.66
2.74
0.19
0.13
0.22
0.34
0.15
0.20
0.15
0.11
0.07


MTT
0.92
1.34
1.40
1.60
1.43
1.51
1.51
1.44
1.36
0.19
0.11
0.13
0.17
0.07
0.01
0.12
0.11
0.06









When both oral lavage and substrate malate were added, the rate and extent of converting tetrazolium salts into colored formazan dyes increased as shown in TABLE 20.









TABLE 20







Formation of formazan dyes in the presence of oral lavage, malate and 1-Methoxy PMS, but in the absence of malate.


The absorbance was measured at the time indicated. Each mean and STDEV were derived from three experiments.









Tetrazolium
Means
STDEV

























dye
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h




























WST-1
1.20
1.68
2.01
2.32





0.36
0.31
0.34
0.40







WST-4
0.73
1.14
1.44
1.61





0.29
0.23
0.29
0.33







WST-5
0.72
1.24
1.56
1.95





0.24
0.26
0.34
0.26







WST-8
0.98
1.39
1.83
2.31





0.35
0.31
0.31
0.37







WST-9
1.01
1.34
1.39
1.62





0.35
0.13
0.12
0.21







INT
0.56
0.87
1.01
1.04
0.80
1.04
1.26
1.53
1.69
0.17
0.22
0.33
0.27
0.14
0.31
0.53
0.83
0.62


XTT
0.90
1.20
1.54
1.66
1.83
1.91
1.92
1.98
2.59
0.36
0.35
0.21
0.37
0.49
0.22
0.42
0.10
0.06


Nitro-TB
0.35
0.37
0.40
0.43
0.29
0.29
0.30
0.30
0.31
0.10
0.12
0.14
0.16
0.01
0.01
0.01
0.01
0.01


MTS
0.78
1.33
1.69
1.90
1.87
2.27
2.60
2.89
3.22
0.30
0.16
0.18
0.22
0.10
0.14
0.05
0.00
0.16


MTT
0.72
1.20
1.44
1.56
1.74
1.57
1.46
1.44
1.43
0.22
0.14
0.15
0.21
0.06
0.07
0.13
0.21
0.12









1-Methoxy PMS is an electron coupling reagent. XTT and MTS appeared to slowly catalyze the conversion of tetrazolium salts into colored formazan dyes in the assay buffer containing 1-methoxy PMS, in the absence of malate (TABLE 21) or in the presence of malate (TABLE 22).









TABLE 21







Formation of formazan dyes in the presence of control buffer and 1-Methoxy PMS, but in the absence of malate.


The absorbance was measured at the time indicated. Each mean and STDEV were derived from three experiments.









Tetrazolium
Means
STDEV

























dye
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h




























WST-1
0.53
0.74
0.65
0.88





0.09
0.13
0.29
0.05







WST-4
0.30
0.34
0.43
0.44





0.05
0.14
0.04
0.03







WST-5
0.33
0.45
0.48
0.55





0.06
0.06
0.03
0.06







WST-8
0.44
0.55
0.49
0.62





0.03
0.06
0.09
0.04







WST-9
0.31
0.38
0.30
0.43





0.04
0.03
0.10
0.06







INT
0.37
0.41
0.39
0.35
0.33
0.38
0.43
0.35
0.44
0.11
0.06
0.03
0.06
0.03
0.06
0.05
0.11
0.04


XTT
0.66
0.81
0.85
0.91
0.90
1.00
1.05
1.11
1.20
0.23
0.11
0.04
0.05
0.03
0.05
0.02
0.03
0.01


Nitro-TB
0.33
0.41
0.41
0.42
0.44
0.39
0.42
0.45
0.43
0.09
0.10
0.09
0.07
0.06
0.02
0.01
0.02
0.01


MTS
0.36
0.42
0.41
0.43
0.43
0.48
0.59
0.63
0.66
0.07
0.06
0.06
0.07
0.03
0.03
0.02
0.00
0.04


MTT
0.34
0.36
0.35
0.35
0.33
0.35
0.37
0.41
0.52
0.15
0.08
0.08
0.07
0.01
0.02
0.04
0.01
0.06
















TABLE 22







Formation of formazan dyes in the presence of control buffer, malate and 1-Methoxy PMS. The absorbance


was measured at the time indicated. Each mean and STDEV were derived from three experiments.









Tetrazolium
Means
STDEV

























dye
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h
0 h
1 h
2 h
3 h
4 h
6 h
8 h
10 h
12 h




























WST-1
0.31
0.31
0.32
0.32





0.02
0.02
0.02
0.02







WST-4
0.13
0.13
0.13
0.15





0.00
0.00
0.00
0.01







WST-5
0.13
0.15
0.16
0.16





0.02
0.02
0.02
0.01







WST-8
0.19
0.20
0.23
0.26





0.01
0.00
0.04
0.02







WST-9
0.18
0.20
0.19
0.23





0.01
0.03
0.02
0.04







INT
0.20
0.20
0.21
0.23
0.20
0.25
0.29
0.26
0.36
0.01
0.02
0.02
0.04
0.02
0.08
0.13
0.11
0.14


XTT
0.42
0.48
0.53
0.59
0.60
0.77
0.91
1.03
1.17
0.03
0.03
0.02
0.04
0.01
0.04
0.03
0.03
0.08


Nitro-TB
0.16
0.16
0.17
0.19
0.19
0.24
0.29
0.18
0.23
0.01
0.00
0.01
0.02
0.03
0.03
0.02
0.06
0.05


MTS
0.20
0.20
0.21
0.23
0.25
0.33
0.36
0.47
0.50
0.01
0.01
0.01
0.01
0.01
0.00
0.05
0.10
0.11


MTT
0.13
0.14
0.15
0.15
0.17
0.18
0.25
0.23
0.22
0.00
0.01
0.01
0.01
0.00
0.02
0.01
0.02
0.07









Example 6
Concentrations of Tetrazolium Salts, NAD+, Malate and Malate Dehydrogenase on the Rate of Formazan Formation

On the idea that higher concentrations of tetrazolium salts in the assay buffer would likely result in more formazan dyes in the reaction, various concentrations of tetrazolium salts were added to a reaction buffer and the formation of formazan dyes were measured at 0, 30 and 60 minutes. The reaction buffer was comprised of 1 mM MgCl2, 15 mM NADH+H, and 20 μg diaphorase in potassium phosphate 100 mM, pH 7.5. The reactions were performed at room temperature. Absorbance was taken at 0, 30 and 60 minutes.


As shown in FIGS. 4A to 4G, the absorbance was highly correlated with the concentrations of tetrazolium salts in the reaction buffer. WST-5 reached peaks at 1 mM, while WST-8, EZMTT, MTT, INT did not reach peaks until 2 mM was added to the reaction buffer. WST-9 did not reach peaks even at 2 mM. The formazan salts of WST-9 started to form precipitates at 1 mM. MTS reached peaks around 1.5 mM.


To determine optimal conditions for quantifying enzymes in the gingival brush samples, oral lavage and gingival plaques, an experiment was carried out to determine the effect of NAD+ on conversion of tetrazolium salts to formazan dyes. A range of NAD+ concentrations from 100, 33.3, 11.1, 3.7, 1.2, 0.41, 0.13, 0.045, 0.015, 0.0051, 0.0017 and 0 was added to an assay medium containing: 4 μM rotenone, 1 mM MgCl2, 15 mM malate, 1.5 units of malate dehydrogenase, 2 mM WST-8 and 20 μg diaphorase in 100 mM potassium phosphate at pH 7.5. Absorbance was taken at every 5 minutes for 2 hours.


As shown in FIG. 5, the amount of formazan formation was proportional to the concentrations of NAD+ in the assay system. The higher NAD+ was in the assay buffer, the more formazan dyes were generated.


Substrate concentrations are important parameters in an enzymatic assay. An experiment was carried out to determine the effect of malate concentrations on formation of formazan dyes. Differing amounts of malate were added to an assay buffer, which comprised: 128.5 μM NAD+, 4 μM rotenone, 1 mM MgCl2, 1.5 units of malate dehydrogenase, 2 mM WST-8 and 20 μg diaphorase in 100 mM potassium phosphate at pH 7.5. Absorbance was measured every 5 minutes for 2 hours. As shown in FIG. 6, high concentrations of malate, (above 65 mM), inhibited production of formazan dyes. But at low concentrations from 0.001 mM to 15.6 mM, formation of formazan dyes was positively correlated with malate concentrations.


In oral lavage, gingival epithelium brush samples and gingival plaque samples, the amount of enzymes that metabolize glycose, amino acids, and fatty acids changes; depending on the healthy status of the oral tissues. The activities of the enzymes are indicative of oral tissue health status. Examples of indicative enzymes include: malate dehydrogenases, hexokinase, phosphohexose isomerase, phosphofructokinase, aldolase, triosephosphate isomerase, glyceraldehyde phosphate dehydrogenase, phosphoglycerate kinase, phosphoglycerate mutase, enolase, pyruvate kinase, lactate dehydrogenase, alcohol dehydrogenase, malate dehydrogenase, and other enzymes that participate in the tricarboxylic acid cycle or fatty acid and amino acid metabolism. Here, malate dehydrogenase was used to optimize an assay condition for formazan dye formation. Various amounts of malate dehydrogenase were added to an assay buffer which comprised 128.5 uM NAD+, 4 μM rotenone, 1 mM MgCl2, 15 mM malate, 2 mM WST-8 and 20 μg diaphorase in 100 mM potassium phosphate pH 7.5. Absorbance was measured every 5 minutes for 2 hours. As shown in FIG. 7, the absorbance at OD460 nM increased as more malate dehydrogenase was added to the reaction mix. This result showed that the assay buffer was able to quantitate malate dehydrogenase in the samples in the range of 15 to 15,000 units/ml.


Example 7
Profiling Proteins and Peptides in the Gingival Samples

A randomized, parallel group clinical study was conducted with 69 panelists (35 in the negative control group and 34 in the test regimen group). Panelists were 39 years old on average, ranging from 20 to 69, and 46% of the panelists were female. Treatment groups were well balanced, since there were no statistically significant (p≥0.395) differences for demographic characteristics (age, ethnicity, gender) or starting measurements for Gingival Bleeding Index (GBI); mean=29.957 with at least 20 bleeding sites, and Modified Gingival Index (MGI); mean=2.086. All sixty-nine panelists attended each visit and completed the research. The following treatment groups were compared over a 6-week period: Test regimen: Crest® Pro-Health Clinical Plaque Control (0.454% stannous fluoride) dentifrice; Oral-B® Professional Care 1000 with Precision Clean brush head and Crest® Pro-Health Refreshing Clean Mint (0.07% CPC) mouth rinse; Control regimen: Crest® Cavity Protection (0.243% sodium fluoride) dentifrice and Oral-B® Indicator Soft Manual toothbrush.


The test regimen group demonstrated significantly (p<0.0001) lower mean bleeding (GBI) and inflammation (MGI) relative to the negative control group at Weeks 1, 3 and 6, as shown in FIG. 8.


Gingival brush samples: Before sampling, panelists rinsed their mouths for 30 seconds with water. A dental hygienist then sampled the area just above the gumline using a buccal swab brush (Epicentre Biotechnologies, Madison, Wis.; cat. #MB100SP). At each sample site a brush was swabbed back-forth 10 times with the brush-head oriented parallel to the gum line. Each brush head was clipped off with sterile scissors and placed into a 15 ml conical tube with 800 ul DPBS (Dulbecco's phosphate-buffered saline), from Lifetechnologies, Grand Island, N.Y., containing 1× Halt™ Protease Inhibitor Single-Use Cocktail (Lifetechnologies). All gingival swabs from a given panelist were pooled into the same collection tube. All collection tubes were vigorously shaken on a multi-tube vortexer for 30 seconds at 4° C. Using sterile tweezers the brush heads were dabbed to the side of the tube to collect as much lysate as possible and subsequently discarded. Samples were immediately frozen on dry ice and stored in a −80° C. freezer until analysis. For analysis the samples were removed from the freezer, thawed and extracted by placing the samples on a tube shaker for 30 minutes at 4° C.; and then the tubes were centrifuged at 15000 RPM for 10 min in Eppendorf Centrifuge 5417R (Eppendorf, Ontario, Canada) to pellet any debris. The extract (800 μL) was analyzed for protein concentrations using the Bio-Rad protein assay (BioRad, Hercules, Calif.).


To reduce the sample numbers for proteomic study, protein samples from different panelists were pooled at baseline and week 3. Six pools were generated at baseline for the control and test regimens, respectively. Similarly, six pools were also generated for the control and test regimens at week 3, respectively. One baseline sample from the control regimen was excluded from analysis due to irregular output. Protein and peptide profiling were performed at the Yale W. M. Keck Foundation Biotechnology Resource Laboratory as described (Shibata S, Zhang J, Puthumana J, Stone K L, Lifton R P. Kelch-like 3 and Cullin 3 regulate electrolyte homeostasis via ubiquitination and degradation of WNK4. Proc Natl Ac ad Sci USA. 2013 May 7; 110(19):7838-43. doi: 10.1073/pnas.1304592110. Epub 2013 Apr. 1). Briefly, Proteins were digested with trypsin (modified sequencing grade, Sigma, St. Louis Mo.) overnight. Trypsin activity was quenched by acidification with trifluoroacetic acid, and peptide mixtures were fractionated by HPLC interfacing an electrospray ionisation quadrupole time-of-flight mass spectrometer. All MS/MS spectra were searched using the Mascot algorithm. Mascot is a powerful search engine used to identify proteins from LC-MS/MS data. See Matrix Science—Home (http://www.matrixscience.com/) for more details on this analysis.


Two hundred and eighty two peptides were found to be significantly different between the control and treatment regimens (P>0.05) or between baseline and week 3 (P<0.01) in either the control or treatment regimen. Those peptides represent 140 proteins (Each protein was cut into multiple peptides. In some instance, several peptides were derived from the same proteins.). TABLE 23 lists 140 proteins and peptides. Some of those peptides were derived from the following proteins: 14-3-3 protein epsilon, 14-3-3 protein sigma, Alpha-2-macroglobulin-like protein 1, Long-chain-fatty-acid-CoA ligase ACSBG1, Fructose-bisphosphate aldolase A, Alpha-amylase 1, Annexin A1, Calmodulin, Macrophage-capping protein, Cathepsin G, Carbonyl reductase [NADPH] 1, CD59 glycoprotein, 10 kDa heat shock protein, mitochondrial, Charged multivesicular body protein 4b, Clathrin light chain B, Complement C3, Cytochrome c, Cystatin-A, Cystatin-B, Desmoplakin, Destrin, Desmocollin-2, Extracellular matrix protein 1, Proteasome-associated protein ECM29 homolog, Elongation factor 1-alpha 1, Alpha-enolase, ERO1-like protein alpha, Ezrin, Protein FAM25A, Glucose-6-phosphate isomerase, Gelsolin, Glutamine synthetase, GDP-mannose 4,6 dehydratase, 78 kDa glucose-regulated protein, Glutathione S-transferase P, Histone H1.0, Hemoglobin subunit alpha, Hemoglobin subunit beta, E3 ubiquitin-protein ligase HECTD3, Heat shock protein beta-1, Calpastatin, Interleukin-1 receptor antagonist protein, Leukocyte elastase inhibitor, Involucrin, Creatine kinase U-type, mitochondrial, Laminin subunit gamma-1, L-lactate dehydrogenase A chain, Serine/threonine-protein kinase LMTK3, Malate dehydrogenase, mitochondrial, E3 ubiquitin-protein ligase MYCBP2, Neurofilament heavy polypeptide, Polyadenylate-binding protein 1, Protein disulfide-isomerase, Myeloperoxidase, Phosphoglycerate mutase 2, Phosphoglycerate kinase 1, Plectin, Peptidyl-prolyl cis-trans isomerase A, Peptidyl-prolyl cis-trans isomerase B, Peroxiredoxin-1, Peroxiredoxin-6, Pregnancy-specific beta-1-glycoprotein 8, Proteasome activator complex subunit 1, Cellular retinoic acid-binding protein 2, Protein S100-A8, Protein S100-A11, Protein S100-A16, Specifically androgen-regulated gene protein, Suprabasin, Protein SETSIP, Serpin B13, Serpin B3, Serpin B5, Small proline-rich protein 3, Small proline-rich protein 3, Translationally-controlled tumor protein, Transitional endoplasmic reticulum ATPase, Protein-glutamine gamma-glutamyltransferase E, Triosephosphate isomerase, Lactotransferrin, Uncharacterized protein DKFZp434B061, and Probable ribonuclease ZC3H12B.









TABLE 23







Peptides identified in the gingival brush samples.















P-value T-Test


















Trt
Cntl
Trt
Trt






Wk3
Wk3
Bsl
Wk3





Mean
vs
vs
vs
vs

















Uni


TrtB
TrtW
Cntl
Cntl
Trt
Cntl
Cnt
Cntl


Prot
Description
Sequence
sl
k3
Bsl
Wk3
Bsl
Bsl
1Bsl
Wk3




















CH10_
10 kDa heat
DGDILGK
623.0
1546.4
336.8
1115.3
0.021
0.101
0.459
0.187


HUMAN
shock protein,












mitochondrial














1433B_
14-3-3 protein
AVTEQGHEL
6474.2
10149.8
6129.8
9357.7
0.013
0.025
0.742
0.374


HUMAN
beta/alpha
SNEER













1433E_
14-3-3 protein
YLAEFATGN
2804.5
5713.5
3802.4
6194.2
0.017
0.026
0.240
0.531


HUMAN
epsilon
DRK













1433S_
14-3-3 protein
EMPPTNPIR
3283.7
6593.3
2008.9
4952.8
0.040
0.002
0.049
0.201


HUMAN
sigma














1433Z_
14-3-3 protein
SVTEQGAEL
186750.4
326090.7
190255.8
292907.6
0.034
0.024
0.891
0.518


HUMAN
zeta/delta
SNEER













RS27_
40S ribosomal
DLLHPSPEE
33752.2
45837.1
36248.5
47593.6
0.011
0.048
0.440
0.673


HUMAN
protein S27
EK













AL9A1_
4-
VEPADASGT
5984.7
8802.5
4689.8
8624.4
0.029
0.064
0.184
0.915


HUMAN
trimethylamino
EK











butyraldehyde












dehydrogenase














CH60_
60 kDa heat
VGGTSDVEV
11806.1
18455.9
10415.4
17103.0
0.039
0.071
0.642
0.564


HUMAN
shock protein,
NEK











mitochondrial














6PGD_
6-
AGQAVDDFI
10096.9
20075.9
12758.4
18840.3
0.036
0.029
0.070
0.744


HUMAN
phospho-
EK











gluconate












dehydrogenase,












decarboxyl-












ating














GRP78_
78 kDa
VLEDSDLK
9192.3
15225.7
7182.7
12846.8
0.001
0.043
0.335
0.069


HUMAN
glucose-












regulated












protein














ACTB_
Actin,
EITALAPST
41673.6
76926.2
36319.2
73810.4
0.030
0.008
0.438
0.799


HUMAN
cytoplasmic 1
MK













ARPC4_
Actin-related
AENFFILR
486.5
928.4
364.6
565.2
0.032
0.467
0.654
0.051


HUMAN
protein 2/3












complex












subunit 4














TCP4_
Activated RNA
EQISDIDDA
7363.3
11531.9
9699.4
9831.8
0.030
0.822
0.014
0.250


HUMAN
polymerase II
VR











transcriptional












coactivator p15














ADSV_
Adseverin
TAEEFLQQM
2147.3
5044.2
3094.1
4306.6
0.003
0.459
0.443
0.527


HUMAN

NYSK













FETUA_
Alpha-2-HS-
HTLNQIDEV
3584.3
5904.1
4239.5
5183.4
0.020
0.579
0.596
0.592


HUMAN
glycoprotein
K













A2ML1_
Alpha-2-
TFNIQSVNR
8971.9
1413 2.9
7579.1
13769.2
0.035
0.096
0.215
0.914


HUMAN
macroglobulin-












like protein 1














ACTN1_
Alpha-actinin-1
RDQALTEEH
2471.3
1263.6
1660.8
1371.4
0.002
0.271
0.010
0.663


HUMAN

AR













ACTN4_
Alpha-actinin-4
DHGGALGPE
8847.1
14536.6
7938.4
13691.8
0.013
0.025
0.563
0.616


HUMAN

EFK













ENOA_
Alpha-enolase
LNVTEQEK
33697.9
71243.0
30252.6
45538.4
0.024
0.352
0.761
0.152


HUMAN















ANXA1_
Annexin A1
TPAQFDADE
573737.1
1103967.7
529165.7
960205.2
0.001
0.011
0.678
0.073


HUMAN

LR













ANXA2_
Annexin A2
DLYDAGVKR
39545.4
50535.7
25612.4
43936.0
0.103
0.000
0.059
0.006


HUMAN















AATC_
Aspartate
LALGDDSPA
1731.2
3165.4
1835.9
3381.2
0.001
0.062
0.862
0.470


HUMAN
amino-
LK











transferase,












cytoplasmic














ATPB_
ATP synthase
IMDPNIVGS
1275.7
3129.0
3158.5
3701.7
0.047
0.543
0.067
0.474


HUMAN
subunit beta,
EHYDVAR











mitochondrial














RECQ5_
ATP-dependent
ELLADLER
3823.0
5623.5
3312.2
5483.6
0.031
0.029
0.565
0.621


HUMAN
DNA helicase














CALM_
Calmodulin
DGNGYISAA
34876.0
61067.7
48803.7
53288.5
0.033
0.619
0.140
0.431


HUMAN

ELR













CALL3_
Calmodulin-
DTDNEEEIR
9733.9
15869.0
5891.9
12940.4
0.046
0.004
0.073
0.191


HUMAN
like protein 3














ICAL_
Calpastatin
KTEKEESTE
7723.3
11067.6
7447.8
9228.5
0.019
0.117
0.808
0.053


HUMAN

VLK













CALR_
Calreticulin
GLQTSQDAR
11499.9
16791.2
8830.2
15188.8
0.030
0.006
0.117
0.336


HUMAN















CAH1_
Carbonic
VLDALQAIK
8.7
910.7
3.4
192.1
0.031
0.303
0.605
0.087


HUMAN
anhydrase 1














CAMP_
Cathelicidin
AIDGINQR
5923.5
4078.8
4362.4
3844.6
0.045
0.719
0.298
0.758


HUMAN
antimicrobial












peptide














CATG_
Cathepsin G
IFGSYDPR
21478.2
12710.1
20293.9
17693.8
0.000
0.336
0.517
0.050


HUMAN















CHM4B_
Charged
KIEQELTAA
616.9
1454.2
325.9
1287.6
0.031
0.028
0.285
0.611


HUMAN
multivesicular
K











body protein 4b














CLIC1_ 
Chloride
NSNPALNDN
7569.2
16353.7
9055.6
15004.7
0.036
0.022
0.592
0.541


HUMAN
intracellular
LEK











channel protein












1














CLCB_
Clathrin light
RLQELDAAS
1495.8
3625.8
945.1
3203.2
0.050
0.112
0.411
0.744


HUMAN
chain B
K













CO3_
Complement
TGLQEVEVK
6462.6
7987.3
7378.4
7432.8
0.016
0.922
0.047
0.379


HUMAN
C3














CRNN_
Cornulin
LDQGNLHTS
295264.9
482761.2
309640.1
501133.9
0.014
0.161
0.841
0.862


HUMAN

VSSAQGQDA












AQSEEK













COR1A_
Coronin-1A
AAPEASGTP
2381 5.5
16177.7
15288.9
19325.5
0.044
0.465
0.115
0.447


HUMAN

SSDAVSR













KCRU_
Creatine kinase
ILENLR
4549.5
7364.6
5907.6
6882.9
0.022
0.016
0.001
0.576


HUMAN
U-type,












mitochondrial














CYTA_
Cystatin-A
VKPQLEEK
14851.3
20781.0
8213.5
14863.4
0.061
0.057
0.094
0.018


HUMAN















CYTB_
Cystatin-B
AKHDELTYF
350500.9
686593.2
402767.3
632435.7
0.008
0.022
0.351
0.534


HUMAN















CYC_
Cytochrome c
KTGQAPGYS
3784.4
7949.3
4147.6
6023.8
0.014
0.048
0.641
0.116


HUMAN

YTAANK













DMKN_
Dermokine
VGEAAHALG
3281.4
7486.9
7330.6
7536.0
0.028
0.879
0.073
0.936


HUMAN

NTGHEIGR













DSC2_
Desmocollin-2
NLFYVER
9081.8
15742.8
11058.5
17241.0
0.007
0.084
0.305
0.578


HUMAN















DESP_
Desmoplakin
GIVDSITGQ
5624.2
10059.4
7712.9
7628.8
0.013
0.947
0.055
0.151


HUMAN

R













ODO2_
Dihydrolipoyl-
TPAFAESVT
20853.2
45660.4
30536.6
37348.6
0.041
0.561
0.261
0.508


HUMAN
lysine-residue
EGDVR











succinyltrans-












ferase compo-












nent of 2-












oxoglutarate












dehydrogenase












complex,












mitochondrial














DNJB1_
DnaJ homolog
GKDYYQTLG
588.0
1472.7
1670.3
1765.4
0.018
0.821
0.038
0.360


HUMAN
subfamily B
LAR











member 1














MYCB2_
E3 ubiquitin-
ACARELDGQ
8051.1
63943.8
9187.8
22635.4
0.038
0.290
0.730
0.123


HUMAN
protein ligase
EARQR











MYCBP2














EF1A1_
Elongation
LPLQDVYK
873.0
2785.9
946.2
2257.5
0.004
0.020
0.741
0.286


HUMAN
factor 1-alpha 












1














ERO1A_
ERO1-like
LGAVDESLS
50809.3
89111.5
58705.8
87660.3
0.011
0.041
0.452
0.877


HUMAN
protein alpha
EETQK













ECM1_
Extracellular
LLPAQLPAE
11406.6
24555.1
13172.4
24637.4
0.029
0.118
0.771
0.985


HUMAN
matrix protein
K











1














EZR1_
Ezrin
EAQDDLVK
1812 4.8
29354.9
13381.9
23893.0
0.008
0.046
0.283
0.055


HUMAN















CAZA1_
F-actin-capping
EASDPQPEE
25245.0
32347.1
21583.3
27205.9
0.038
0.043
0.174
0.066


HUMAN
protein subunit
ADGGLK











alpha-1














FILA_
Filaggrin
HSASQDGQD
2441.8
903.3
1241.5
1838.4
0.015
0.296
0.051
0.104


HUMAN

TIR













ALDOA_
Fructose-
RLQSIGTEN
46120.0
95453.7
48319.3
73986.7
0.001
0.052
0.792
0.039


HUMAN
bisphosphate
TEENRR











aldolase A














GMDS_
GDP-mannose
VAFDELVR
669.6
3459.8
336.8
1052.3
0.062
0.202
0.437
0.098


HUMAN
4,6 dehydratase














GELS_
Gelsolin
DSQEEEKTE
7784.5
16910.5
5175.6
12191.3
0.001
0.075
0.115
0.169


HUMAN

ALTSAK













GLU2B_
Glucosidase 2
TVKEEAEKP
828.0
1472.3
850.1
1573.2
0.007
0.044
0.934
0.455


HUMAN
subunit beta
ER













GLNA_
Glutamine
YIEEAIEK
13589.1
26133.8
13608.7
20891.9
0.001
0.006
0.986
0.037


HUMAN
synthetase














GSTP1_
Glutathione S-
TLGLYGK
4071.6
9416.8
2925.0
7563.2
0.031
0.014
0.234
0.359


HUMAN
transferase P














GOGB1_
Golgin
AQLKEIEAE
13618.7
16567.4
10960.0
14976.9
0.048
0.307
0.205
0.638


HUMAN
subfamily B
K











member 1














HSP71_
Heat shock 70
YKAEDEVQR
30544.9
38078.3
21846.5
33255.0
0.052
0.001
0.035
0.012


HUMAN
kDa protein












1A/1B














HSPB1_
Heat shock
AQLGGPEAA
82641.1
47943.4
86986.6
56903.3
0.018
0.445
0.910
0.211


HUMAN
protein beta-1
KSDETAAK













HBA_
Hemoglobin
VLSPADKTN
44975.0
340255.2
36452.9
95049.1
0.009
0.375
0.646
0.042


HUMAN
subunit alpha
VK













HBB_
Hemoglobin
VNVDEVGGE
79546.8
1001395.5
80565.4
252012.9
0.050
0.375
0.983
0.114


HUMAN
subunit beta
ALGR













HMGB2_
High mobility
IKSEHPGLS
19129.2
10085.9
13849.4
11639.0
0.003
0.631
0.272
0.411


HUMAN
group protein
IGDTAK











B2














H10_
Histone H1.0
RLVTTGVLK
4264.7
8798.0
2520.3
7680.7
0.044
0.034
0.396
0.448


HUMAN















H15_
Histone H1.5
ALAAGGYDV
27518.3
42195.0
30656.1
31134.3
0.000
0.897
0.334
0.009


HUMAN

EK













MYSM1_
Histone H2A
DAVEAYQLA
68195.5
17889.7
46262.7
20231.4
0.018
0.263
0.388
0.770


HUMAN
deubiquitinase
QR











MYSM1














H2B2F_
Histone H2B
EIQTAVR
24063.4
3033
21942.3
23502.2
0.092
0.838
0.788
0.040


HUMAN
type 2-F














INVO_
Involucrin
HLVQQEGQL
52897.6
80754.6
58457.2
7270 1.8
0.014
0.554
0.703
0.688


HUMAN

EQQER













IDHC_
Isocitrate
TVEAEAAHG
15482.9
17631.4
17771.7
13240.3
0.080
0.451
0.681
0.079


HUMAN
dehydrogenase
TVTR











[NADP]












cytoplasmic














TRFL_
Lactotrans-
LKQVLLHQQ
15434.5
7532.6
13672.9
6956.6
0.009
0.063
0.573
0.648


HUMAN
ferrin
AK













LAMC1_
Laminin
LIEIASR
15872.0
7213.4
16571.0
6151.9
0.039
0.069
0.881
0.704


HUMAN
subunit












gamma-1














ILEU_
Leukocyte
LGVQDLFNS
9351.4
19761.2
8769.7
8901.6
0.069
0.973
0.915
0.007


HUMAN
elastase
SK











inhibitor














LDHA_
L-lactate
LNLVQR
1210.4
2207.5
805.5
1964.9
0.015
0.024
0.223
0.459


HUMAN
dehydrogenase












A chain














LYSC_
Lysozyme C
WESGYNTR
286.6
783.6
685.6
419.4
0.009
0.436
0.207
0.126


HUMAN















MIF_
Macrophage
PMFIVNTNV
5332.4
10109.7
8319.5
11969.6
0.040
0.140
0.201
0.319


HUMAN
migration
PR











inhibitory












factor














CAPG_
Macrophage-
EGNPEEDLT
29622.1
46989.5
25960.8
42118.2
0.002
0.030
0.401
0.267


HUMAN
capping protein
ADK













MDHM_
Malate
ANTFVAELK
1778.0
4639.0
2848.8
3731.2
0.006
0.307
0.190
0.222


HUMAN
dehydrogenase,












mitochondrial














MOES_
Moesin
KAQQELEEQ
3594.1
2149.5
2186.3
2082.8
0.026
0.804
0.054
0.789


HUMAN

TR













PERM_
Myeloper-
RSPTLGASN
28386.8
16648.3
25181.7
20462.4
0.016
0.345
0.386
0.410


HUMAN
oxidase
R













MYH9_
Myosin-9
TDLLLEPYN
875.8
1574.2
771.1
1533.5
0.039
0.112
0.781
0.885


HUMAN

K













NACAM_
Nascent
IEDLSQQAQ
2161.3
7139.8
6397.2
9293.3
0.003
0.172
0.005
0.282


HUMAN
polypeptide-
LAAAEK











associated












complex












subunit alpha,












muscle-specific












form














NFH_
Neurofilament
KLLEGEECR
11145.3
2920.2
8545.7
5412.1
0.022
0.332
0.482
0.154


HUMAN
heavy












polypeptide














WIBG_
Partner of Y14
AAPTAASDQ
3729.9
5686.7
3468.5
4789.6
0.024
0.437
0.787
0.544


HUMAN
and mago
PDSAATTEK













PPIA_
Peptidyl-prolyl
TAENFR
10876.4
16838.5
10474.4
13854.3
0.022
0.066
0.773
0.147


HUMAN
cis-trans












isomerase A














PPIB_
Peptidyl-prolyl
TVDNFVALA
424.1
1663.6
1483.2
2313.8
0.040
0.283
0.113
0.332


HUMAN
cis-trans
TGEK











isomerase B














PEPL_
Periplakin
LSELEFHNS
8446.6
5882.9
6810.3
6172.7
0.003
0.581
0.150
0.687


HUMAN

K













PRDX1_
Peroxiredoxin-
TIAQDYGVL
14423.1
30893.5
16697.8
26985.8
0.023
0.064
0.497
0.500


HUMAN
1
K













PRDX2_
Peroxiredoxin-
IGKPAPDFK
4840.4
9887.5
2938.5
6338.7
0.006
0.043
0.126
0.036


HUMAN
2














PRDX6_
Peroxiredoxin-
KLFPK
1376.3
2985.7
1477.7
2558.2
0.005
0.083
0.832
0.259


HUMAN
6














PEX1_
Peroxisome
GMMKELQTK
1326.8
2861.3
2581.7
2565.0
0.003
0.983
0.163
0.323


HUMAN
biogenesis












factor 1














PGKl_
Phospho-
FHVEEEGKG
5340.0
8397.1
4884.9
5952.9
0.043
0.428
0.703
0.101


HUMAN
glycerate
K











kinase 1














PLEC_
Plectin
VPVDVAYR
23162.7
46143.6
17501.7
40865.7
0.006
0.056
0.479
0.460


HUMAN















PABP1_
Polyadenylate-
KFEQMK
56370.3
84565.0
42504.8
63429.8
0.039
0.054
0.281
0.012


HUMAN
binding 












protein 1














PSG8_
Pregnancy-
SMTVKVSGK
7117.7
13237.7
8855.0
11333.1
0.031
0.464
0.580
0.424


HUMAN
specific 
R











beta-1-












glycoprotein 












8














GP146_
Probable G-
LQRLMK
7634.4
14633.5
9521.0
12181.9
0.001
0.036
0.005
0.105


HUMAN
protein coupled












receptor 146














ZC12B_
Probable
GVYARNPNL
14702.2
1027.9
5903.5
1876.8
0.048
0.173
0.179
0.183


HUMAN
ribonuclease
CSDSR











ZC3H12B














PROF1_
Profilin-1
EGVHGGLIN
643.6
1039.7
653.0
731.5
0.037
0.779
0.969
0.168


HUMAN

K













PSME1_
Proteasome
IENLLGSYF
479.7
1982.2
1309.6
2136.1
0.042
0.037
0.056
0.766


HUMAN
activator
PK











complex












subunit 1














PSA3_
Proteasome
AVENSSTAI
2591.7
4133.7
4680.6
4309.5
0.024
0.807
0.164
0.845


HUMAN
subunit alpha
GIR











type-3














PSB6_
Proteasome
TTTGSYIAN
4184.4
5054.8
4537.9
4417.4
0.021
0.882
0.617
0.237


HUMAN
subunit beta
R











type-6














ECM29_
Proteasome-
LSSTQEGVR
83586.4
29450.7
68098.3
31331.7
0.002
0.164
0.521
0.788


HUMAN
associated
K











protein ECM29












homolog














PDIA1_
Protein
YQLDK
17143.1
27359.8
14218.1
23271.7
0.024
0.009
0.374
0.087


HUMAN
disulfide-












isomerase














FM25A_
Protein
LAAEGLAHR
1647.2
2857.6
1016.6
1517.2
0.047
0.350
0.214
0.047


HUMAN
FAM25A














PRC2B_
Protein
QDQQDPK
3876.0
6095.8
2539.4
3767.8
0.027
0.120
0.168
0.005


HUMAN
PRRC2B














S10AB_
Protein S100-
NQKDPGVLD
124467.2
218832.8
109449.5
169693.8
0.014
0.095
0.443
0.187


HUMAN
A11
R













S10AG_
Protein S100-
LIHEQEQQS
8702.5
15985.5
6388.6
10985.9
0.025
0.077
0.386
0.032


HUMAN
A16
SS













S10A6_
Protein S100-
LQDAEIAR
167980.2
219750.4
116779.4
176514.2
0.030
0.010
0.021
0.045


HUMAN
A6














S10A8_
Protein S100-
KLLETECPQ
14185.0
31460.6
38968.7
41008.0
0.049
0.854
0.028
0.376


HUMAN
A8
YIRK













S10A9_
Protein S100-
DLQNFLK
411383.9
648948.4
483769.1
545150.1
0.003
0.109
0.036
0.070


HUMAN
A9














SETLP_
Protein SETSIP
RSELIAK
809.2
1620.6
722.3
1133.6
0.043
0.140
0.754
0.116


HUMAN















TGM3_
Protein-
VPDESEVVV
40923.6
70843.9
31482.5
51193.2
0.017
0.036
0.212
0.060


HUMAN
glutamine
ER











gamma-












glutamyl-












transferase E














PTMA_
Prothymosin
RAAEDDEDD
3550.8
5186.4
3114.9
4841.1
0.046
0.047
0.504
0.589


HUMAN
alpha
DVDTKK













KPYM_
Pyruvate kinase
GSGTAEVEL
16658.2
23529.4
12918.4
19760.9
0.011
0.004
0.039
0.065


HUMAN
PKM
KK













GDIB_
Rab GDP
TFEGIDPK
4080.5
5987.0
3885.3
5618.5
0.043
0.012
0.762
0.472


HUMAN
dissociation












inhibitor beta














GDIR2_
Rho GDP-
APNVVVTR
5082.8
2536.9
3520.1
2670.1
0.021
0.312
0.174
0.714


HUMAN
dissociation












inhibitor 2














RINI_
Ribonuclease
ELTVSNNDI
5705.2
13521.2
13042.9
15417.3
0.012
0.219
0.014
0.316


HUMAN
inhibitor
NEAGVR













LMTK3_
Serine/
APGIEEK
58040.2
104244.7
37038.8
76294.9
0.002
0.025
0.086
0.037


HUMAN
threonine-












protein












kinase LMTK3














TRFE_
Serotrans-
DSAHGFLK
11823.8
16197.3
9903.5
11794.2
0.045
0.267
0.361
0.012


HUMAN
ferrin














SPB13_
Serpin B13
TYLFLQK
528.9
1816.3
671.5
1401.6
0.045
0.009
0.360
0.412


HUMAN















SPB3_
Serpin B3
VLHFDQVTE
12335.0
31865.2
16544.0
25073.8
0.028
0.072
0.472
0.184


HUMAN

NTTGK













SPB5_
Serpin B5
DVEDESTGL
18881.3
33124.8
14492.1
21720.3
0.009
0.129
0.325
0.016


HUMAN

EK













ALBU_
Serum albumin
DDNPNLPR
125593.7
150718.4
61878.9
102025.1
0.065
0.083
0.017
0.015


HUMAN















SSBP_
Single-stranded
SGDSEVYQL
5558.2
10917.0
7882.5
10686.9
0.014
0.17 
0.242
0.867


HUMAN
DNA-binding
GDVSQK











protein,












mitochondrial














SPRR3_
Small proline-
VPVPGYTK
212243.1
394037.6
167604.6
348856.5
0.003
0.056
0.490
0.371


HUMAN
rich protein 3














SARG_
Specifically











HUMAN
androgen-
AEDAPLSSG
6421.1
10908.1
9103.6
12683.0
0.045
0.222
0.224
0.475



regulated gene
EDPNSR











protein














GRP75_
Stress-70
VLENAEGAR
5750.4
8750.7
4681.5
6879.2
0.086
0.080
0.524
0.025


HUMAN
protein,












mitochondrial














SBSN_
Suprabasin
FGQGAHHAA
62030.8
82870.1
57228.2
65066.6
0.038
0.413
0.674
0.003


HUMAN

GQAGNEAGR













THIO_
Thioredoxin
VGEFSGANK
257150.7
394704.2
221041.9
341085.6
0.016
0.001
0.143
0.157


HUMAN















TYPH_
Thymidine
ALQEALVLS
1282.9
3282.4
1774.9
3512.2
0.007
0.087
0.435
0.740


HUMAN
phosphorylase
DR













TALDO_
Transaldolase
SYEPLEDPG
19378.8
28463.8
18752.3
25742.5
0.008
0.023
0.770
0.196


HUMAN

VK













TERA_
Transitional
LAGESESNL
6262.0
11337.6
5692.4
9616.4
0.035
0.015
0.441
0.385


HUMAN
endoplasmic
RK











reticulum












ATPase














TCTP_
Transla-
GKLEEQRPE
1438.3
2941.9
1566.9
2422.8
0.051
0.001
0.521
0.378


HUMAN
tionally-
R











controlled












tumor protein














TPIS_
Triosephos-
VIADNVK
4916.5
9475.5
4301.4
7296.5
0.001
0.014
0.367
0.025


HUMAN
phate isomerase














RS27A_
Ubiquitin-40S
TLSDYNIQK
16297.6
28274.7
13652.7
25475.3
0.023
0.028
0.564
0.313


HUMAN
ribosomal












protein S27a














UB2V1_
Ubiquitin-
LLEELEEGQ
2880.5
6110.0
3307.2
5580.5
0.003
0.032
0.317
0.530


HUMAN
conjugating
K











enzyme E2












variant 1














RD23B_
UV excision
TLQQQTFK
2542.4
3945.9
954.6
2401.6
0.021
0.040
0.025
0.021


HUMAN
repair protein












RAD23












homolog B














YBOX3_
Y-box-binding
GAEAANVTG
8580.6
15477.7
9414.4
13549.8
0.028
0.070
0.744
0.172


HUMAN
protein 3
PDGVPVEGS












R













ZN185_
Zinc finger
RVEVVEEDG
1304.0
2653.4
4594.2
6167.6
0.041
0.780
0.410
0.418


HUMAN
protein 185
PSEK









Example 8
Multiple Substrates into One Assay

Malate dehydrogenase catalyzes the conversion of malate into oxaloacetate and reduces oxidized nicotinamide adenine dinucleotide (NAD) to reduced nicotinamide adenine dinucleotide (NADH). Similarly, glyceraldehyde-3-phosphate dehydrogenase catalyzes oxidative phosphorylation of glyceraldehyde-3-phosphate in the presence of inorganic phosphate and reduces NAD to NADH. NADH can reduce tetrazolium salts, such as WST-1, WST-5, WST-8, WST-9, MTT, MTS, Nitro-Blue, INT and EZMTT, into formazan pigments to generate distinctive colors. As described in Example 4, oral lavage samples from gingivitis panelists had higher activities of malate dehydrogenase and triosephosphate isomerase which can convert tetrazolium salts into formazan products. Mixtures of both malate dehydrogenase and triosephosphate substrates speed the conversion of tetrazolium salts into formazan products.


Example 9
Resazurin Reduction Activities in Oral Lavage

A clinical study was conducted, as described in Example 1, to evaluate sample collection methods and measurement procedures. It was a controlled, examiner-blind study. Forty panelists satisfying the inclusion/exclusion criteria were enrolled. Twenty (20) panelists were qualified as healthy—with up to 3 bleeding sites and with all pockets less than or equal to 2 mm deep and twenty (20) panelists were qualified as unhealthy—greater than 20 bleeding sites with at least 3 pockets greater than or equal to 3 mm but not deeper than 4 mm with bleeding, and at least 3 pockets less than or equal to 2 mm deep with no bleeding for sampling. All panelists were given investigational products: Crest® Pro-Health Clinical Gum Protection Toothpaste (0.454% stannous fluoride) and Oral-B® Indicator Soft Manual Toothbrush. Panelists continued their regular oral hygiene routine, and did not use any new products starting from the baseline to the end of four week treatment study. During the four week treatment period, panelists brushed their teeth twice daily, morning and evening, in their customary manner using the assigned dentifrice and soft manual toothbrush.


Oral lavage samples were collected at wake up (one per panelist) by rinsing with 4 ml of water for 30 seconds and then expectorating the contents of the mouth into a centrifuge tube. These samples were frozen at home until they were brought into a test site in a cold pack. Each panelist provided up to 15 samples throughout the study. Oral lavage samples at a test site were frozen at −70° C.


Oral lavage samples (150 μl) at baseline and week 4 treatment of 20 healthy panelists and 18 healthy panelists were sent to Metabolon (Morrisville, N.C. 27560) for metabolite profiling. All samples were analyzed using Metabolon's global biochemical profiling platforms. In brief, samples were extracted and split into equal parts for analysis on the LC (liquid chromatography)/MS (mass spectrometry)/MS and Polar LC platforms. Proprietary software was used to match ions to an in-house library of standards for metabolite identification and for metabolite quantitation by peak area integration.


As shown in TABLE 24, succinate, malate, fumarate, phosphoenolpyruvate (PEP) and lactate are presented in oral lavage samples. Succinate, malate, fumarate and lactate are substrates for succinate dehydrogenase, malate dehydrogenase and lactate dehydrogenase, respectively.


As shown in TABLE 1, malate dehydrogenase and lactate dehydrogenase are increased in the lavage of unhealthy panelists in comparison with those in the lavage samples of healthy panelists. Both malate dehydrogenase and lactate dehydrogenase can catalyze oxidation of their respective substrates, and reduce NAD to NADH at the same time. NADH in turn can reduce tetrazolium salts or resazurin into formazan dyes and resorufin, respectively, in the presence of diaphorase or other electron carriers.









TABLE 24







Metabolites in oral lavage samples










Ratios
Statistical p Values





















Unhealthy



Unhealthy




Healthy
Unhealthy
Unhealthy
Wk 4/
Healthy
Unhealthy
Unhealthy
Wk 4/




Wk 4/
Wk 4/
BL/
Low
Wk 4/
Wk 4/
BL/
Low


Biochemical

Healthy
Unhealthy
Healthy
Healthy
Healthy
Unhealthy
Healthy
Healthy


Name
PUBCHEM
BL
BL
BL
Wk 4
BL
BL
BL
Wk 4



















glycine
750
1.24
1.33
1.11
1.19
0.11
0.05
0.69
0.50


N-acetylglycine
10972
1.06
1.04
1.11
1.09
0.61
0.75
0.63
0.69


sarcosine (N-
1088
1.15
1.02
1.17
1.03
0.26
0.89
0.53
0.89


Methylglycine)











dimethylglycine
673
0.97
0.81
1.31
1.09
0.83
0.15
0.30
0.73


betaine
247
0.96
0.77
1.23
0.98
0.67
0.02
0.25
0.93


serine
5951
1.6
1.44
1.45
1.31
0.01
0.04
0.19
0.34


N-acetylserine
65249
0.95
0.85
1.49
1.33
0.62
0.16
0.08
0.21


threonine
6288
1.39
1.09
1.9
1.49
0.09
0.68
0.04
0.20


N-acetylthreonine
152204
0.91
0.77
1.53
1.31
0.54
0.14
0.12
0.32


O-
439389
0.74
0.57
1.04
0.8
0.07
0.00
0.91
0.50


acetylhomoserine











alanine
5950
1.06
0.87
1.56
1.28
0.69
0.33
0.08
0.32


N-acetylalanine
88064
0.95
0.72
1.54
1.16
0.74
0.03
0.11
0.58


aspartate
5960
1.14
1.17
1.57
1.61
0.36
0.31
0.08
0.07


asparagine
6267
3.31
3.41
0.82
0.84
0.00
0.00
0.56
0.61


N-
99715
0.77
0.69
1.42
1.27
0.14
0.04
0.22
0.40


acetylasparagine











N-acetylaspartate
65065
0.98
0.8
1.43
1.17
0.84
0.09
0.13
0.49


(NAA)











glutamate
611
0.91
0.83
1.55
1.42
0.48
0.20
0.08
0.16


glutamine
5961
1.44
1.55
1.3
1.4
0.10
0.06
0.44
0.32


N-acetylglutamate
70914
0.8
0.64
1.48
1.17
0.13
0.00
0.12
0.52


N-acetylglutamine
182230
1.15
0.86
1.11
0.83
0.26
0.25
0.66
0.43


gamma-
119
0.64
0.53
1.29
1.08
0.00
0.00
0.29
0.76


aminobutyrate











(GABA)











glutamate,
68662
1.01
0.95
1.61
1.5
0.93
0.71
0.05
0.09


gamma-methyl











ester











pyroglutamine*
134508
0.97
0.83
1.96
1.69
0.79
0.19
0.02
0.06


histidine
6274
1.5
1.61
1.26
1.34
0.04
0.02
0.43
0.31


N-acetylhistidine
75619
0.81
0.64
1.43
1.13
0.25
0.03
0.29
0.71


1-methylhistidine
92105
0.93
0.72
1.54
1.2
0.66
0.08
0.20
0.58


3-methylhistidine
64969
0.59
0.76
1.33
1.71
0.05
0.32
0.43
0.14


trans-urocanate
736715
1.11
0.79
1.83
1.3
0.47
0.12
0.01
0.28


cis-urocanate
1549103
1.03
0.89
1.08
0.94
0.86
0.55
0.75
0.80


formiminoglutamate
439233
0.7
0.69
1.08
1.07
0.04
0.05
0.77
0.80


imidazole
70630
0.92
0.71
1.26
0.97
0.51
0.01
0.41
0.90


propionate











imidazole lactate
440129
0.92
0.82
1.29
1.14
0.59
0.20
0.41
0.67


histamine
774
0.81
0.46
2.77
1.59
0.39
0.01
0.04
0.34


4-imidazoleacetate
96215
1.07
0.73
1.53
1.04
0.64
0.05
0.12
0.89


N-acetylhistamine
69602
0.73
0.45
2.94
1.82
0.15
0.00
0.02
0.20


lysine
5962
1.21
1.16
1.39
1.33
0.19
0.33
0.22
0.28


N2-

1.08
0.88
1.54
1.25
0.61
0.43
0.18
0.48


acetyllysine/N6-











acetyllysine











N6,N6,N6-
440120
0.97
0.72
1.71
1.26
0.88
0.09
0.16
0.53


trimethyllysine











5-hydroxylysine
1029
0.8
0.56
1.19
0.83
0.17
0.00
0.42
0.39


saccharopine
160556
1
0.78
1.72
1.34
1.00
0.18
0.05
0.28


2-aminoadipate
469
0.88
0.76
1.55
1.33
0.28
0.03
0.04
0.17


glutarate
743
0.92
0.71
1.25
0.97
0.53
0.02
0.26
0.86


(pentanedioate)











pipecolate
849
1
0.66
1.39
0.91
0.98
0.03
0.29
0.76


cadaverine
273
1.1
0.79
1.12
0.8
0.56
0.17
0.73
0.52


5-aminovalerate
138
0.67
0.61
1.16
1.06
0.00
0.00
0.43
0.77


phenylalanine
6140
1.24
1.09
1.42
1.24
0.13
0.57
0.16
0.38


N-
74839
0.99
0.73
1.14
0.84
0.93
0.06
0.61
0.51


acetylphenylalanine











phenylpyruvate
997
0.86
0.58
1.46
0.99
0.22
0.00
0.09
0.98


phenyllactate
3848
0.83
0.74
1.12
1
0.16
0.03
0.63
0.99


(PLA)











phenylacetate
999
0.83
0.69
2.12
1.75
0.36
0.08
0.09
0.20


4-
127
0.73
0.73
1.31
1.31
0.05
0.07
0.37
0.37


hydroxyphenylacetate











phenylacetylglutamine
92258
1.1
0.76
1.41
0.98
0.58
0.13
0.27
0.95


tyrosine
6057
1.35
1.28
1.4
1.33
0.06
0.15
0.19
0.28


N-acetyltyrosine
68310
1.1
0.77
1.48
1.04
0.56
0.15
0.14
0.89


tyramine
5610
1.03
1.07
0.93
0.96
0.90
0.79
0.90
0.95


4-
979
1.02
0.62
2.29
1.4
0.90
0.01
0.00
0.14


hydroxyphenylpyruvate











3-(4-
9378
0.81
0.83
1.05
1.07
0.12
0.18
0.82
0.77


hydroxyphenyl)lactate











phenol sulfate
74426
0.92
0.79
1.94
1.68
0.45
0.06
0.02
0.07


p-cresol sulfate
4615423
1.18
0.83
1.99
1.39
0.36
0.32
0.02
0.26


3-(4-
10394
0.67
0.47
1.25
0.88
0.05
0.00
0.46
0.67


hydroxyphenyl)propionate











3-
107
0.61
0.49
1.64
1.32
0.01
0.00
0.25
0.51


phenylpropionate











(hydrocinnamate)











N-
759256
1.05
0.84
0.36
0.29
0.67
0.19
0.06
0.02


formylphenylalanine











tryptophan
6305
1.38
1.05
1.64
1.24
0.10
0.82
0.11
0.48


N-
700653
1.16
0.67
1.43
0.83
0.51
0.09
0.24
0.53


acetyltryptophan











indolelactate
92904
0.92
0.7
1.31
0.99
0.65
0.06
0.36
0.98


indoleacetate
802
0.64
0.46
0.69
0.5
0.18
0.03
0.49
0.21


indolepropionate
3744
0.82
0.45
2.21
1.21
0.23
0.00
0.01
0.53


3-indoxyl sulfate
10258
1.21
0.65
1.91
1.02
0.47
0.12
0.09
0.96


kynurenine
161166
1.02
0.8
1.63
1.27
0.90
0.26
0.07
0.37


kynurenate
3845
1.06
0.72
1.42
0.97
0.62
0.02
0.04
0.84


tryptophan betaine
442106
0.91
0.64
1.43
1
0.64
0.04
0.47
0.99


C-
1.1E+07
1.02
0.67
1.85
1.21
0.91
0.03
0.05
0.53


glycosyltryptophan











leucine
6106
1.31
1.07
1.58
1.29
0.09
0.68
0.10
0.36


N-acetylleucine
70912
0.99
0.69
1.34
0.92
0.97
0.04
0.32
0.78


4-methyl-2-
70
0.84
0.68
1.96
1.58
0.31
0.04
0.02
0.12


oxopentanoate











isovalerate
10430
1.16
1.06
1.17
1.07
0.17
0.60
0.33
0.68


isovalerylcarnitine
6426851
1.21
0.96
1.09
0.86
0.38
0.85
0.84
0.72


beta-
69362
1.02
0.78
1.96
1.51
0.90
0.09
0.01
0.11


hydroxyisovalerate











beta-

0.91
0.83
1.25
1.15
0.51
0.23
0.24
0.47


hydroxyisovaleroylcarnitine











alpha-
99823
0.92
0.68
1.8
1.34
0.59
0.03
0.05
0.32


hydroxyisovalerate











methylsuccinate
10349
0.79
0.69
1.25
1.09
0.08
0.01
0.30
0.68


isoleucine
6306
1.56
1.26
1.62
1.31
0.03
0.27
0.14
0.41


N-acetylisoleucine
2802421
0.93
0.84
1.2
1.09
0.69
0.36
0.43
0.72


3-methyl-2-
47
0.98
0.89
1.84
1.68
0.89
0.53
0.04
0.07


oxovalerate











2-
6426901
0.98
0.75
1.72
1.31
0.90
0.05
0.03
0.28


methylbutyrylcarnitine (C5)











2-hydroxy-3-
164623
1.09
0.71
1.85
1.21
0.62
0.06
0.06
0.54


methylvalerate











ethylmalonate
11756
0.9
0.8
1.33
1.18
0.33
0.05
0.16
0.40


valine
6287
1.2
0.92
1.59
1.22
0.25
0.63
0.10
0.48


N-acetylvaline
66789
0.96
0.69
1.32
0.96
0.76
0.03
0.31
0.89


3-methyl-2-
49
0.76
0.59
1.61
1.26
0.05
0.00
0.03
0.28


oxobutyrate











isobutyrylcarnitine
168379
1.18
0.78
1.56
1.02
0.25
0.10
0.07
0.92


3-
87
1.1
0.71
1.59
1.03
0.39
0.01
0.01
0.85


hydroxyisobutyrate











alpha-
83697
0.89
0.8
1.38
1.24
0.47
0.20
0.28
0.47


hydroxyisocaproate











methionine
6137
1.2
1.08
1.41
1.28
0.16
0.56
0.13
0.28


N-
448580
1.11
0.66
2.01
1.19
0.57
0.05
0.05
0.62


acetylmethionine











N-
439750
1.06
0.57
2.38
1.28
0.81
0.04
0.01
0.47


formylmethionine











methionine
158980
1.62
0.94
3.55
2.07
0.14
0.86
0.02
0.18


sulfoxide











N-
193368
1.36
0.67
2.32
1.16
0.22
0.14
0.05
0.73


acetylmethionine











sulfoxide











2-aminobutyrate
439691
1.02
0.9
1.12
0.99
0.73
0.13
0.33
0.90


cystine
67678
2.74
2.55
1.57
1.47
0.00
0.01
0.31
0.40


S-methylcysteine
24417
1
0.64
1.81
1.16
0.99
0.02
0.05
0.62


cysteine s-sulfate
115015
2.62
2.91
1.43
1.59
0.00
0.00
0.23
0.12


cysteine sulfinic
109
1.22
1.07
1.51
1.33
0.28
0.70
0.23
0.40


acid











hypotaurine
107812
0.92
0.61
2.67
1.76
0.76
0.08
0.05
0.24


taurine
1123
0.98
0.78
1.54
1.22
0.90
0.06
0.07
0.39


N-acetyltaurine
159864
0.86
0.74
1.4
1.2
0.28
0.05
0.23
0.51


2-

0.87
0.76
1.75
1.52
0.28
0.04
0.01
0.06


hydroxybutyrate/2-











hydroxyisobutyrate











arginine
232
1.15
1.01
1.15
1.01
0.27
0.94
0.46
0.95


urea
1176
1.17
1.2
0.97
0.99
0.43
0.38
0.92
0.98


ornithine
6262
1.16
1.49
1.11
1.42
0.36
0.02
0.70
0.19


proline
145742
1.33
1.27
1.48
1.41
0.05
0.12
0.16
0.22


citrulline
9750
0.89
0.83
1.58
1.47
0.45
0.25
0.11
0.17


argininosuccinate
16950; 828 
0.84
0.88
0.95
1
0.26
0.44
0.84
1.00


homoarginine
9085
0.72
0.69
1.43
1.35
0.06
0.04
0.20
0.27


homocitrulline
65072
0.95
0.94
1.24
1.22
0.72
0.65
0.41
0.45


dimethylarginine
123831
0.94
0.71
1.71
1.29
0.74
0.07
0.09
0.42


(SDMA + ADMA)











N-acetylarginine
67427
0.81
0.79
1.55
1.52
0.23
0.20
0.11
0.13


N-delta-
9920500
0.8
0.69
1.37
1.18
0.08
0.01
0.17
0.48


acetylornithine











N2,N5-
  1E+07
0.98
0.82
1.17
0.98
0.87
0.15
0.54
0.94


diacetylornithine











N-methylproline
557
1.11
1.4
1.22
1.54
0.69
0.22
0.59
0.24


trans-4-
5810
1.04
0.76
1.35
0.99
0.79
0.06
0.17
0.95


hydroxyproline











N-acetylcitrulline
656979
0.86
0.48
1.75
0.98
0.40
0.00
0.06
0.93


creatine
586
1
0.83
1.37
1.13
1.00
0.12
0.17
0.58


creatinine
588
0.93
0.8
1.3
1.11
0.46
0.03
0.12
0.52


guanidinoacetate
763
0.97
0.86
1.3
1.14
0.82
0.21
0.23
0.54


agmatine
199
0.83
0.5
1.62
0.98
0.35
0.00
0.16
0.95


acisoga
129397
0.87
0.98
1.25
1.4
0.31
0.87
0.29
0.11


putrescine
1045
0.78
0.62
1.17
0.92
0.08
0.00
0.59
0.78


spermidine
1102
0.73
0.63
1.52
1.3
0.04
0.00
0.11
0.32


5-
439176
1
0.66
2.42
1.6
0.99
0.09
0.00
0.12


methylthioadenosine











(MTA)











N(1)-
916
0.97
0.63
2.32
1.51
0.86
0.01
0.02
0.24


acetylspermine











N-acetylputreseine
122356
0.72
0.63
1.39
1.22
0.01
0.00
0.20
0.43


4-
500
0.97
0.78
1.29
1.03
0.84
0.10
0.34
0.91


guanidinobutanoate











guanidinosuccinate
97856
1.19
0.74
1.17
0.73
0.27
0.07
0.63
0.34


cys-gly, oxidized
333293
0.39
0.17
2.78
1.19
0.01
0.00
0.01
0.65


5-oxoproline
7405
1.04
0.86
1.35
1.12
0.71
0.20
0.16
0.60


gamma-
7017195
1.15
1.26
1.18
1.29
0.29
0.10
0.57
0.38


glutamylhistidine











gamma-
1.4E+07
0.56
0.91
0.67
1.09
0.03
0.73
0.26
0.80


glutamylisoleucine*











gamma-
151023
0.46
0.34
1.19
0.88
0.03
0.00
0.68
0.77


glutamylleucine











gamma-glutamyl-
  65254; 14284565
1.7
1.23
1.48
1.08
0.05
0.46
0.35
0.86


epsilon-lysine











gamma-
7009567
1.03
1.28
0.6
0.75
0.89
0.23
0.09
0.33


glutamylmethionine











gamma-
111299
0.8
0.82
1.1
1.13
0.12
0.18
0.74
0.68


glutamylphenylalanine











gamma-
94340
0.94
0.39
2.19
0.91
0.78
0.00
0.02
0.77


glutamyltyrosine











gamma-
7015683
1.25
0.84
1.8
1.2
0.38
0.51
0.14
0.64


glutamylvaline











carnosine
439224
0.79
0.45
1.39
0.8
0.21
0.00
0.23
0.41


anserine
112072
0.59
0.45
1.7
1.27
0.05
0.00
0.15
0.51


alanylleucine
259583
0.57
0.23
1.98
0.81
0.06
0.00
0.07
0.57


glycylisoleucine
88079
0.91
0.65
2.17
1.55
0.65
0.05
0.03
0.22


glycylleucine
92843
0.99
0.69
1.91
1.34
0.96
0.13
0.08
0.43


glycylvaline
97417
1.16
0.91
2.02
1.57
0.46
0.64
0.07
0.23


isoleucylglycine
342532
0.88
0.49
1.81
1
0.47
0.00
0.03
1.00


leucylglycine
79070
0.73
0.45
1.82
1.11
0.16
0.00
0.04
0.71


phenylalanylalanine
6993123; 5488196
0.34
0.13
2.81
1.09
0.01
0.00
0.03
0.85


phenylalanylglycine
98207
0.7
0.31
1.77
0.79
0.22
0.00
0.07
0.47


prolylglycine
7408076; 626709 
0.88
0.95
1.28
1.38
0.43
0.75
0.43
0.31


threonylphenylalanine
4099799; 4099798
0.33
0.13
2.25
0.86
0.01
0.00
0.07
0.74


valylglutamine
5253209
0.56
0.21
2.32
0.88
0.08
0.00
0.03
0.73


valylglycine
136487
0.87
0.55
1.78
1.14
0.52
0.01
0.07
0.69


valylleucine
352039
0.68
0.27
2.17
0.86
0.16
0.00
0.03
0.67


leucylglutamine*
4305457
0.41
0.14
2.96
1.05
0.04
0.00
0.03
0.92


1,5-
64960
1.15
0.9
1.58
1.23
0.35
0.50
0.12
0.48


anhydroglucitol











(1,5-AG)











glucose
79025
0.86
0.62
1.56
1.12
0.40
0.02
0.15
0.70


2-
59
0.97
0.77
1.32
1.04
0.78
0.02
0.31
0.88


phosphoglycerate











3-
724
1.09
0.87
0.94
0.75
0.44
0.26
0.75
0.17


phosphoglycerate











phosphoenolpyruvate
1005
0.87
0.37
2.29
0.97
0.44
0.00
0.07
0.95


(PEP)











pyruvate
1060
0.86
0.86
1.49
1.48
0.29
0.30
0.04
0.04


lactate
612
0.93
0.78
1.84
1.55
0.62
0.13
0.03
0.12


glycerate
752
0.79
0.67
1.49
1.27
0.15
0.03
0.20
0.44


6-
91493
0.92
0.81
1.08
0.96
0.48
0.12
0.84
0.91


phosphogluconate











arabonate/xylonate

1.21
0.71
1.8
1.05
0.31
0.08
0.04
0.85


ribose
5779
0.81
0.6
1.68
1.24
0.24
0.01
0.15
0.54


ribitol
6912
0.82
0.73
1.35
1.21
0.14
0.03
0.28
0.49


ribonate
5460677
1.11
0.72
1.69
1.09
0.52
0.07
0.12
0.79


fucose
19466
0.66
0.72
1.07
1.17
0.00
0.01
0.75
0.46


arabitol/xylitol

1.1
0.94
1.59
1.36
0.60
0.76
0.18
0.37


maltotetraose
446495
1.59
0.69
2.35
1.01
0.14
0.26
0.07
0.98


maltotriose
439586
1.11
0.58
1.9
1
0.77
0.16
0.16
1.00


maltose
1.1E+07
1.1
0.97
0.84
0.74
0.68
0.90
0.75
0.59


Lewis X
4571095
1.12
1.1
1.37
1.35
0.64
0.70
0.42
0.44


trisaccharide











sucrose
5988
2.39
1.64
0.88
0.6
0.02
0.19
0.76
0.23


fructose
5984
1
0.56
2.18
1.22
1.00
0.09
0.16
0.71


mannitol/sorbitol
5780
0.52
0.13
2.22
0.58
0.12
0.00
0.14
0.30


mannose
18950
0.97
0.75
1.06
0.82
0.87
0.17
0.80
0.40


galactonate
128869
0.96
0.76
1.11
0.88
0.85
0.21
0.68
0.60


glucuronate
444791
1.2
0.88
1.52
1.11
0.20
0.39
0.16
0.72


N-
439197
0.69
0.97
1.11
1.56
0.01
0.83
0.71
0.11


acetylneuraminate











N-acetylmuramate
5462244
0.74
0.56
1.75
1.33
0.17
0.02
0.14
0.45


erythronate*
2781043
1.07
0.82
1.46
1.12
0.64
0.18
0.12
0.63


citrate
311
1.33
1.01
1.25
0.95
0.04
0.92
0.35
0.83


isocitrate
1198
1.08
0.91
1.05
0.88
0.46
0.39
0.74
0.34


alpha-
51
0.73
0.66
1.42
1.27
0.01
0.00
0.09
0.24


ketoglutarate











succinylcarnitine

0.95
0.71
1.58
1.17
0.77
0.06
0.14
0.61


succinate
1110
0.63
0.52
1.4
1.17
0.01
0.00
0.24
0.59


fumarate
444972
1.1
0.73
1.59
1.06
0.60
0.09
0.04
0.78


malate
525
0.92
0.73
1.68
1.33
0.51
0.03
0.02
0.20


tricarballylate
14925
1.04
0.66
1.55
0.99
0.81
0.01
0.24
0.97


phosphate
1061
0.78
0.7
0.89
0.81
0.17
0.07
0.73
0.52


2-
43
0.87
0.73
1.3
1.09
0.22
0.01
0.25
0.69


hydroxyglutarate











maleate
444266
1.35
1
0.9
0.67
0.03
0.98
0.62
0.05


3-carboxy-4-
123979
0.97
1.03
0.99
1.05
0.31
0.34
0.84
0.37


methyl-5-propyl-











2-furanpropanoate











(CMPF)











butyrylcarnitine
439829
1.01
0.83
1.96
1.6
0.94
0.27
0.02
0.10


propionylcarnitine
107738
0.96
0.79
1.43
1.18
0.73
0.10
0.16
0.51


methylmalonate
487
0.91
0.71
1.44
1.13
0.49
0.02
0.13
0.62


(MMA)











acetylcarnitine
1
0.94
0.85
1.44
1.3
0.69
0.29
0.17
0.33


3-
5.3E+07
0.79
0.61
1.28
0.99
0.12
0.00
0.29
0.98


hydroxybutyrylcarnitine











(1)











hexanoylcarnitine
6426853
1.07
0.95
1.74
1.54
0.56
0.68
0.02
0.07


octanoylcarnitine
123701
1.22
1.23
1.41
1.43
0.20
0.20
0.11
0.10


deoxycarnitine
134
0.9
0.68
1.33
1
0.37
0.00
0.31
0.99


carnitine
10917
0.95
0.8
1.5
1.26
0.65
0.06
0.04
0.23


3-hydroxybutyrate
441
0.91
0.7
1.37
1.05
0.41
0.00
0.10
0.80


(BHBA)











4-hydroxybutyrate
10413
1.09
0.85
1.3
1.02
0.33
0.09
0.09
0.90


(GHB)











13-HODE + 9-
43013
1.07
0.67
1.75
1.1
0.72
0.04
0.04
0.73


HODE











myo-inositol
892
1.16
0.86
1.49
1.11
0.41
0.43
0.18
0.71


choline
305
0.89
0.72
1.35
1.1
0.31
0.01
0.20
0.67


choline phosphate
1014
3.19
2
1.04
0.65
0.02
0.16
0.96
0.60


glycerophosphorylcholine
71920
0.97
1.24
1.2
1.53
0.80
0.11
0.49
0.11


(GPC)











phosphoethanolamine
1015
2.47
1.64
1.21
0.8
0.01
0.13
0.73
0.69


trimethylamine N-
1145
0.79
0.45
1.1
0.63
0.45
0.02
0.86
0.38


oxide











glycerophosphoinositol*

1.04
1.1
1.02
1.07
0.46
0.14
0.80
0.36


glycerol
753
1.17
1.04
1.34
1.19
0.38
0.84
0.32
0.55


glycerol 3-
754
1.58
1.1
1.32
0.92
0.08
0.71
0.54
0.86


phosphate











palmitoyl sphingomyelin
9939941
0.72
0.77
0.94
0.99
0.03
0.09
0.72
0.98


(d18:1/16:0)











3-hydroxy-3-
1662
0.91
0.76
1.17
0.97
0.50
0.06
0.49
0.89


methylglutarate











mevalonate
439230
0.91
0.69
1.45
1.1
0.49
0.01
0.06
0.62


mevalonolactone
10428
1.08
0.79
1.45
1.07
0.74
0.32
0.13
0.79


inosine
6021
0.55
0.55
0.5
0.5
0.00
0.00
0.01
0.01


hypoxanthine
790
0.91
0.75
1.99
1.65
0.56
0.10
0.02
0.10


xanthine
1188
0.94
0.76
1.83
1.47
0.67
0.07
0.05
0.20


xanthosine
64959
0.77
0.41
1.54
0.82
0.18
0.00
0.17
0.51


2′-deoxyinosine
65058
1.22
0.84
0.99
0.68
0.42
0.49
0.98
0.28


urate
1175
1.01
0.95
1.53
1.44
0.96
0.67
0.06
0.10


allantoin
204
0.81
0.81
1.15
1.15
0.23
0.25
0.66
0.65


adenosine
60961
0.79
0.91
0.39
0.45
0.23
0.63
0.00
0.00


adenine
190
2.88
2.55
1.27
1.13
0.00
0.00
0.45
0.70


1-methyladenine
78821
0.92
0.71
1.73
1.34
0.56
0.04
0.05
0.29


N1-
27476
1
1.08
0.89
0.97
0.99
0.74
0.71
0.93


methyladenosine











N6-
161466
1.15
0.76
1.35
0.89
0.32
0.06
0.19
0.62


carbamoylthreonyl adenosine











2′-deoxyadenosine
13730
1.18
0.9
0.8
0.62
0.28
0.52
0.34
0.04


N6-

1.01
0.8
1.35
1.08
0.97
0.34
0.33
0.81


succinyladenosine











guanosine
6802
0.47
0.67
0.25
0.36
0.01
0.20
0.00
0.01


guanine
764
0.92
0.98
0.44
0.47
0.68
0.92
0.05
0.07


7-methylguanine
11361
0.89
0.72
1.36
1.1
0.36
0.02
0.19
0.69


N2,N2-
92919
1.14
0.61
1.77
0.94
0.55
0.03
0.05
0.84


dimethylguanosine











N2,N2-
74047
0.98
0.68
1.83
1.26
0.91
0.03
0.06
0.46


dimethylguanine











2′-deoxyguanosine
187790
1.21
1.05
0.59
0.51
0.29
0.80
0.04
0.01


orotate
967
0.6
0.62
1.56
1.62
0.00
0.00
0.11
0.08


orotidine
92751
0.95
0.88
1.18
1.09
0.55
0.14
0.21
0.52


uridine
6029
0.93
1.67
0.54
0.97
0.71
0.02
0.04
0.93


uracil
1174
0.8
0.67
1.91
1.6
0.16
0.02
0.05
0.15


pseudouridine
15047
0.9
0.73
1.66
1.35
0.43
0.03
0.05
0.24


5-methyluridine
445408
0.98
0.66
1.37
0.93
0.89
0.02
0.23
0.77


(ribothymidine)











5,6-dihydrouracil
649
0.9
0.79
1.21
1.06
0.37
0.05
0.32
0.75


2′-deoxyuridine
13712
0.83
0.68
1.46
1.21
0.26
0.04
0.23
0.54


beta-alanine
239
0.71
0.7
1.3
1.28
0.01
0.01
0.26
0.29


cytidine
6175
0.88
0.35
0.58
0.23
0.75
0.02
0.34
0.01


cytosine
597
1.16
0.97
1.55
1.3
0.43
0.89
0.16
0.41


2′-deoxycytidine
13711
1.41
0.75
1.03
0.55
0.08
0.16
0.94
0.07


thymidine
5789
1.05
0.69
1.13
0.74
0.74
0.02
0.70
0.33


thymine
1135
0.94
0.73
1.41
1.09
0.68
0.04
0.27
0.78


5,6-
93556
0.9
0.73
1.29
1.04
0.36
0.01
0.17
0.82


dihydrothymine











3-
64956
0.93
0.73
1.31
1.03
0.54
0.01
0.23
0.90


aminoisobutyrate











nicotinate
938
0.75
0.61
1.97
1.6
0.06
0.00
0.02
0.09


nicotinate
161234
1.47
0.82
2.86
1.59
0.27
0.59
0.03
0.32


ribonucleoside











nicotinamide
936
0.54
0.47
0.63
0.55
0.10
0.06
0.33
0.21


1-
  1E+07
0.96
1.03
1.04
1.12
0.66
0.81
0.85
0.59


methylnicotinamide











trigonelline (N′-
5570
0.64
0.55
1.34
1.15
0.07
0.03
0.49
0.74


methylnicotinate)











N1-Methyl-2-
69698
0.93
0.88
1.7
1.61
0.50
0.27
0.03
0.04


pyridone-5-











carboxamide











riboflavin
493570
0.89
0.58
1.59
1.03
0.44
0.00
0.10
0.91


(Vitamin B2)











pantothenate
6613
0.99
0.76
1.67
1.28
0.93
0.07
0.06
0.35


threonate
151152
1.38
0.83
1.87
1.12
0.06
0.27
0.05
0.70


oxalate
971
1.11
0.9
1.1
0.88
0.30
0.31
0.64
0.53


(ethanedioate)











gulonic acid*
9794176
1.14
0.63
1.81
1
0.52
0.03
0.13
1.00


5-aminolevulinate
137
0.88
0.74
1.05
0.88
0.20
0.00
0.76
0.47


thiamin (Vitamin
1130
0.85
0.75
1.23
1.09
0.27
0.07
0.45
0.76


B1)











pyridoxamine
1052
0.83
0.6
1.25
0.9
0.10
0.00
0.26
0.60


pyridoxal
1050
0.85
0.64
1.65
1.24
0.26
0.00
0.06
0.42


pyridoxate
6723
0.95
1.05
0.87
0.96
0.65
0.69
0.56
0.85


hippurate
464
0.85
0.83
1.1
1.08
0.25
0.22
0.75
0.80


2-
10253
1.13
1.17
1.23
1.27
0.27
0.17
0.50
0.43


hydroxyhippurate











(salicylurate)











3-
450268
1.16
0.93
1.41
1.14
0.24
0.61
0.25
0.67


hydroxyhippurate











4-
151012
1.2
0.9
1.2
0.9
0.10
0.35
0.32
0.54


hydroxyhippurate











catechol sulfate
3083879
1.25
0.87
1.72
1.2
0.36
0.60
0.22
0.68


O-methylcatechol
22473
1.11
1.02
1.11
1.03
0.27
0.83
0.26
0.77


sulfate











4-methylcatechol

1.2
0.94
1.36
1.07
0.06
0.56
0.04
0.67


sulfate











caffeine
2519
0.58
0.89
1.88
2.87
0.01
0.60
0.11
0.01


paraxanthine
4687
0.88
1.24
1.44
2.02
0.58
0.37
0.36
0.08


theobromine
5429
0.83
0.94
1.22
1.38
0.22
0.69
0.51
0.29


theophylline
2153
1.05
1.05
1.79
1.8
0.74
0.73
0.05
0.05


1-methylurate
69726
1.12
0.79
1.91
1.35
0.55
0.23
0.10
0.44


7-methylurate
69160
0.89
0.71
1.02
0.81
0.50
0.07
0.97
0.62


1,3-dimethylurate
70346
1.02
0.92
1.19
1.07
0.85
0.36
0.25
0.63


1,7-dimethylurate
91611
0.82
0.73
1.71
1.53
0.21
0.06
0.26
0.37


3,7-dimethylurate
83126
1.06
0.9
1.09
0.92
0.37
0.11
0.44
0.46


1,3,7-
79437
0.97
0.98
1
1
0.29
0.36
0.92
1.00


trimethylurate











1-methylxanthine
80220
0.86
0.74
1.53
1.32
0.40
0.13
0.24
0.44


3-methylxanthine
70639
0.87
0.88
0.97
0.98
0.32
0.40
0.89
0.95


7-methylxanthine
68374
1.03
0.85
1.02
0.84
0.91
0.46
0.96
0.61


5-acetylamino-6-
88299
1.02
0.79
1.21
0.94
0.90
0.12
0.48
0.82


amino-3-











methyluracil











cotinine
854019
1.12
1
0.73
0.65
0.01
1.00
0.14
0.05


hydroxycotinine
  1E+07
1.08
1
0.66
0.62
0.01
1.00
0.08
0.04


2-piperidinone
12665
0.81
0.62
1.71
1.31
0.20
0.01
0.09
0.38


2,3-
677
1
0.95
1.38
1.3
1.00
0.68
0.19
0.28


dihydroxyisovalerate











2-isopropylmalate
77
0.7
0.66
1.42
1.34
0.03
0.02
0.20
0.29


2-oxindole-3-
3080590
0.81
0.6
0.83
0.62
0.35
0.03
0.61
0.18


acetate











betonicine
164642
1.04
1.1
1.36
1.44
0.87
0.71
0.34
0.27


gluconate
10690
1.59
1.1
2.29
1.58
0.05
0.71
0.07
0.32


ergothioneine
3032311
1
0.72
1.38
0.99
0.98
0.01
0.20
0.98


erythritol
222285
0.77
0.47
1.67
1.02
0.32
0.01
0.21
0.97


homostachydrine*
441447
1.01
0.77
1.22
0.93
0.97
0.10
0.31
0.73


piperine
638024
1.03
0.91
1.1
0.97
0.87
0.64
0.76
0.92


quinate
6508
0.76
0.74
0.97
0.94
0.41
0.38
0.95
0.90


saccharin
5143
2.09
1.6
1.31
1.01
0.03
0.17
0.58
0.99


stachydrine
115244
1.03
0.7
2.16
1.46
0.92
0.33
0.15
0.47


tartarate
444305
1.63
1.05
1
0.65
0.08
0.85
1.00
0.12


pyrraline

0.84
0.71
1.08
0.92
0.23
0.04
0.73
0.73


2-

1.13
0.95
1.07
0.9
0.33
0.69
0.70
0.55


hydroxyacetaminophen











sulfate*











4-acetaminophen
83939
1.28
0.75
1.21
0.71
0.15
0.12
0.52
0.23


sulfate











4-
1983
1.28
0.52
1.38
0.56
0.36
0.02
0.47
0.20


acetamidophenol











4-
83944
1.02
1.04
1
1.02
0.45
0.24
1.00
0.62


acetamidophenylglucuronide











O-

0.84
1
0.38
0.45
0.24
1.00
0.05
0.10


desmethylvenlafaxine











dextromethorphan
5362449
1.32
1
0.95
0.72
0.11
1.00
0.76
0.08


diphenhydramine
3100
1.19
1.05
0.62
0.55
0.06
0.64
0.14
0.06


escitalopram
146570
0.96
1
0.83
0.87
0.06
1.00
0.27
0.39


hydroxybupropion
446
0.93
1.11
0.83
0.99
0.41
0.25
0.30
0.94


metformin
4091
0.9
1
0.54
0.6
0.15
1.00
0.15
0.22


metoprolol
4171
0.93
1
0.76
0.82
0.46
1.00
0.20
0.33


metoprolol acid
62936
0.94
1
0.88
0.93
0.36
1.00
0.14
0.42


metabolite*











nicotine
89594
1.09
0.69
0.79
0.5
0.56
0.02
0.49
0.05


oxypurinol
4644
1
1
1
1
1.00
0.15
1.00
0.14


pseudoephedrine
7028
0.98
1
0.98
1
0.18
1.00
0.18
1.00


salicylate
338
1.09
1.03
1.4
1.33
0.74
0.92
0.31
0.39


venlafaxine
5656
0.92
1
0.86
0.94
0.06
1.00
0.12
0.49


2-pyrrolidinone
12025
1.29
0.88
1.22
0.83
0.13
0.46
0.37
0.39


sulfate*
1118
1.17
1.03
1.38
1.21
0.26
0.85
0.13
0.36


O-sulfo-L-tyrosine
514186
1.04
0.97
1.96
1.83
0.82
0.87
0.13
0.17


dexpanthenol
4678
0.93
1.36
0.79
1.16
0.62
0.06
0.43
0.63


succinimide
11439
1.24
0.93
1.52
1.13
0.26
0.70
0.16
0.67


triethanolamine
7618
1.03
1.04
1.58
1.59
0.89
0.87
0.34
0.33


N-

0.92
0.9
1.14
1.11
0.52
0.40
0.58
0.67


methylpipecolate











3-hydroxypyridine

1.15
1.29
1.89
2.13
0.65
0.42
0.19
0.12


sulfate











X - 11381

0.97
0.77
1.26
0.99
0.81
0.05
0.37
0.98


X - 12100

1.16
0.79
1.5
1.03
0.38
0.20
0.10
0.90


X - 12472

1.1
0.72
1.85
1.2
0.49
0.03
0.00
0.37


X - 12565

0.92
0.88
0.69
0.66
0.66
0.53
0.17
0.13


X - 12688

0.85
0.64
1.33
1
0.29
0.01
0.35
1.00


X - 12748

1.36
0.49
2.86
1.04
0.23
0.01
0.02
0.93


X - 12855 - retired

0.87
0.66
1.59
1.2
0.37
0.01
0.08
0.48


for 3-











hydroxybutyrylcarnitine (2)











X - 13255

0.8
0.94
0.91
1.06
0.06
0.60
0.50
0.67


X - 13848

0.69
0.18
6.65
1.74
0.37
0.00
0.01
0.41


X - 14113

2.02
2.18
1.57
1.69
0.01
0.01
0.30
0.22


X - 14141

1.29
0.98
1.95
1.48
0.40
0.95
0.09
0.31


X - 14196

1.57
0.86
2.14
1.18
0.03
0.48
0.01
0.53


X - 14314

1.14
0.7
2.13
1.32
0.55
0.13
0.02
0.40


X - 14568

1.08
0.83
1.37
1.05
0.62
0.24
0.28
0.87


X - 14697

1.19
0.84
2.08
1.46
0.44
0.46
0.10
0.39


X - 16071

0.68
0.5
2.06
1.54
0.04
0.00
0.09
0.31


X - 17299

0.94
0.76
1.63
1.33
0.65
0.07
0.07
0.29


X - 18278

0.34
0.22
0.67
0.43
0.02
0.00
0.42
0.09


X - 21365

0.9
0.73
1.18
0.95
0.29
0.00
0.44
0.83


X - 21729

1.21
1.13
1.64
1.53
0.15
0.39
0.19
0.26


X - 21772

1.14
1
1
0.87
0.18
1.00
1.00
0.18


X - 23644

1.03
0.58
1.27
0.72
0.93
0.08
0.58
0.44


X - 23662

0.99
0.69
1.35
0.94
0.96
0.03
0.32
0.84


X - 23670 - retired

0.71
0.54
1.7
1.3
0.10
0.01
0.18
0.50


for N1,N12-











diacetylspermine











X - 23673

1.47
1
1
0.68
0.07
1.00
1.00
0.07


X - 23747

0.79
0.63
1.47
1.18
0.18
0.02
0.26
0.62


X - 23775

1.37
1.6
1.74
2.03
0.15
0.04
0.12
0.05


X - 24020

0.81
0.58
1.67
1.2
0.26
0.01
0.17
0.62


X - 24071

1.1
0.82
1.78
1.33
0.60
0.33
0.06
0.36


X - 24240

0.88
0.64
1.72
1.26
0.49
0.03
0.14
0.53


X - 24243

0.98
0.69
1.36
0.96
0.84
0.01
0.20
0.87


X - 24246

0.74
0.57
1.38
1.07
0.06
0.00
0.28
0.82


X - 24529

1.28
1.29
0.98
0.99
0.40
0.40
0.95
0.98









Another clinical study was carried out to examine the efficacy of ProHealth® toothpaste in treating gingivitis. This was a controlled, examiner-blind study. Sixty panelists were enrolled. Panelists had more than 20 bleeding sites and at least three dental pockets greater than or equal to 3 mM, but not deeper than 4 mM in depth. And the panelists also had three dental sites that were less than or equal to 2 mM deep without bleeding. Three bleeding and three non-bleeding sites were sampled for both supragingival and subgingival plaques. ProHealth® toothpaste was used by the panelists for 8 weeks, twice a day. Supragingival, subgingival plaques, and oral lavage were collected at baseline, week 4 and week 8 of the treatment. Oral lavage samples of the week 8 were pooled from the 60 panelists, labeled as pooled oral lavage samples. The pooled samples were centrifuged at 5000 rpm for 15 mM in a Sigma 4K15C centrifuge (Sigma Laborzentrifugen GmbH, 37520, Germany), and the supernatant were collected and used to develop a reduction activity assay. The pooled samples contained both enzymes and substrates. The reactions of the enzymes and substrates generate NADH, which reduces resazurin or tetrazolium salts in the presence of other electron carriers or enzymes. For instance, the pooled samples were analyzed for activities that reduced resazurin to resorufin. The pooled lavage samples were added to wells of a 96-well plate in an amount of 50, 25, 12.5, 6.25 and 3.13 μl in duplicate. And then a 10 μl of reaction mix was added to each well. The volume in all wells was adjusted to 100 μl with 100 mM potassium phosphate of pH 7.5. The reaction mix contained 500 μM resazurin, 40 μM rotenone, 700 μM NAD+, 10 mM MgCl, and 100 mM potassium phosphate of pH 7.5. The reaction plate was carried out at room temperature, and covered with sealing film (Platemax AxySeal Sealing film, Axygen, Union City, Calif.) to prevent evaporation of reaction mixture. The fluorescence was measured every 5 min for 18 hours at Excitation 544/Emission 590 nm in a spectrometry plate reader (Spectra Max M3, Molecular Devices, Sunnyvale, Calif.). The results are shown in FIGS. 9A and 9B. Relative fluorescence unit (RFU) was calculated by dividing each fluorescence reading with that of the control wells, which did not contain any pooled oral lavage samples. The RFU numbers were correlated well with the amount of pooled lavage samples. The more pooled lavage samples, the higher the RFU number.


The fluorescence absorbance was also plotted, as shown in FIG. 9B. Again, the fluorescence absorbance was related to the amount of pooled oral lavage in the wells. The higher absorbance, the more pooled oral lavage samples.


The dimensions and values disclosed herein are not to be understood as being strictly limited to the exact numerical values recited. Instead, unless otherwise specified, each such dimension is intended to mean both the recited value and a functionally equivalent range surrounding that value. For example, a dimension disclosed as “40 mm” is intended to mean “about 40 mm.”


Every document cited herein, including any cross referenced or related patent or application and any patent application or patent to which this application claims priority or benefit thereof, is hereby incorporated herein by reference in its entirety unless expressly excluded or otherwise limited. The citation of any document is not an admission that it is prior art with respect to any invention disclosed or claimed herein or that it alone, or in any combination with any other reference or references, teaches, suggests or discloses any such invention. Further, to the extent that any meaning or definition of a term in this document conflicts with any meaning or definition of the same term in a document incorporated by reference, the meaning or definition assigned to that term in this document shall govern.


While particular embodiments of the present invention have been illustrated and described, it would be obvious to those skilled in the art that various other changes and modifications can be made without departing from the spirit and scope of the invention. It is therefore intended to cover in the appended claims all such changes and modifications that are within the scope of this invention.

Claims
  • 1. A method for reducing a tetrazolium salt comprising: providing an oral cavity sample;combining the oral cavity sample with a tetrazolium salt;wherein the oral cavity sample comprises an enzyme and at least one of a dehydrogenase, reductase or reducing reagent; andwherein the tetrazolium salt is reduced to produce a formazan dye.
  • 2. The method of claim 1, wherein a biomarker is extracted from oral lavage, gingival brush samples and supragingival and subgingival plaques.
  • 3. The method of claim 2, wherein the biomarker is extracted using, sonication, vortex and centrifugation.
  • 4. The method of claim 2, wherein the extracted biomarker is analyzed with at least one of immunoassay, gradient hydrophilic interaction liquid chromatography with tandem mass spectrometry (HILIC/MS/MS), enzymatic assay, or colorimetric assay to quantify the levels of at least one of protein or enzyme.
  • 5. The method of claim 2, wherein the biomarker is a protein.
  • 6. The method of claim 5, wherein the protein is involved in glycolysis or cellular respiration pathway.
  • 7. The method of claim 5, wherein the protein is at least one of: aldolase, triosephosphate isomerase, glyceraldehyde phosphate dehydrogenase, phosphoglycerate kinase, phosphoglycerate mutase, enolase, pyruvate dehydrogenase, lactate dehydrogenase, alcohol dehydrogenase, aconitase, isocitrate dehydrogenase, α-ketoglutarate dehydrogenase, succinyl coenzyme A synthetase, succinate dehydrogenase, fumarase, or malate dehydrogenase.
  • 8. The method of claim 2, wherein the biomarker is a metabolite.
  • 9. The method of claim 1, wherein the oral cavity sample comprises at least one of oral lavage sample, gingival brush sample, or gingival plaque sample.
  • 10. The method of claim 1 wherein the oral cavity sample comprises a substrate.
  • 11. The method of claim 1, wherein the oral cavity sample comprises an electron coupling reagent.
  • 12. The method of claim 11 wherein the electron coupling reagent is at least one of diaphorase, 1-Methoxy-5-methylphenazinium methyl sulfate, 5-Methylphenazinium methyl sulfate, or Phenazine ethosulfate.
  • 13. The method of claim 1, wherein the tetrazolium salt is at least one of MTT, EZMTT, MTS, XTT, INT, Nitro-TB, WST-1, WST-4, WST-5, WST-8, or WST-9.
  • 14. The method of claim 1, wherein the oral cavity sample comprises a cofactor.
  • 15. The method of claim 14, wherein cofactor is at least one of NAD+, NADP+, NADH, or NADPH.
  • 16. A method for reducing resazurin comprising: providing an oral cavity sample;combining the oral cavity sample with resazurin;wherein the oral cavity sample comprises an enzyme and at least one of a dehydrogenase, reductase or reducing reagent; andwherein the resazurin is reduced to produce resorufin.
Provisional Applications (1)
Number Date Country
62501523 May 2017 US