Patent Application
20180088139
This application claims priority from prior Japanese Patent Application No. 2016-185661, filed on Sep. 23, 2016, entitled “Method and apparatus for assisting diagnosis of risk of progression of diabetic nephropathy”, the entire contents of which are incorporated herein by reference.
The present invention relates to a method for measuring urinary ApoE concentration.
Diabetic nephropathy is one of complications of diabetes mellitus and is a kidney disease progressing through the stages. The stage of diabetic nephropathy is classified into five stages from prenephropathy (Stage 1) to dialysis therapy (Stage 5). In the stages of prenephropathy (Stage 1) and incipient nephropathy (Stage 2), patients have few subjective symptoms. However, as diabetic nephropathy progresses, it will eventually become kidney failure, requiring dialysis treatment. Dialysis treatment is a heavy burden for patients. In recent years, the number of patients who need dialysis treatment has increased, and the increase in medical expenses accompanying this has become a problem.
In diabetic nephropathy, renal function can be restored when proper treatment can be started at an early stage. However, at a more advanced stage, although treatment can delay the progression of the disease, it is difficult to maintain and restore renal function. Therefore, finding a patient at risk of progressing diabetic nephropathy at an early stage where recovery of renal function can be expected and aggressively treating the patient alleviate the future burden of the patient. It also contributes greatly to the reduction of medical expenses.
Currently, biomarkers useful for the diagnosis of diabetic nephropathy are being searched. For example, Yamato K. et al., Evaluation of apolipoprotein E secretion by macrophages in type 2 diabetic patients: role of HDL and apolipoprotein A-I, Diabetes Res Clin Pract., 2005 August; 69(2):124-8. Epub 2004 Dec. 28 discloses that the amount of secretion of apolipoprotein E (ApoE) of macrophages decreases in patients with diabetes mellitus type II. Ilhan N. et al., ApoE gene polymorphism on development of diabetic nephropathy, Cell Biochem Funct. 2007 September-October; 25(5):527-32 shows that polymorphism of epsilon 4 allele of ApoE is associated with diabetic nephropathy and the risk of diabetic nephropathy.
In either Yamato K. et al., Evaluation of apolipoprotein E secretion by macrophages in type 2 diabetic patients: role of HDL and apolipoprotein A-I, Diabetes Res Clin Pract., 2005 August; 69(2):124-8. Epub 2004 Dec. 28 or Ilhan N, et al., ApoE gene polymorphism on development of diabetic nephropathy, Cell Biochem Funct. 2007 September-October; 25(5):527-32, the relationship between urinary ApoE concentration and diabetic nephropathy is neither described nor suggested. On the other hand, as described above, it is important to find a patient with a high risk of progression at an early stage and start treatment. Therefore, development of a means enabling diagnosis of such risk is desired.
The scope of the present invention is defined solely by the appended claims, and is not affected to any degree by the statements within this summary.
A first aspect of the present invention provides a method for measuring urinary apolipoprotein E (ApoE) concentration of a patient with diabetic nephropathy showing a urinary albumin/Cr ratio of 30 mg/gCr or more, increased value of the urinary ApoE concentration indicating that the patient has a high risk of progressing diabetic nephropathy.
A second aspect of the present invention provides a method for assisting diagnosis of risk of progression of diabetic nephropathy, comprising measuring urinary apolipoprotein E (ApoE) concentration of a patient with diabetic nephropathy showing a urinary albumin/Cr ratio of 30 mg/gCr or more, and determining that the patient has a high risk of progressing diabetic nephropathy when the value of urinary ApoE concentration is equal to or greater than a predetermined threshold value.
In the method for assisting diagnosis of risk of progression of diabetic nephropathy of a present embodiment (hereinafter, also referred to as “diagnosis assisting method”), a patient with diabetic nephropathy showing a urinary albumin/Cr (creatinine) ratio of 30 mg/gCr or more (hereinafter, also referred to as “subject”) is targeted. The patient with diabetic nephropathy is preferably a patient with diabetic nephropathy with stage 2 diabetic nephropathy (incipient nephropathy), stage 3 diabetic nephropathy (overt nephropathy) or stage 4 diabetic nephropathy (kidney failure). These are each one of the stages of nephropathy. More specifically, stage 2 diabetic nephropathy (incipient nephropathy) refers to a stage in which the albuminuria category in the severity classification of chronic kidney disease (CKD) described in KDIGO (Kidney Disease: Improving Global Outcomes) 2012 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease is A2, and the GFR classification is G1, G2, G3a or G3b. Stage 3 diabetic nephropathy (overt nephropathy) refers to a stage in which the albuminuria category in the severity classification of chronic kidney disease (CKD) is A3, and the GFR classification is G1, G2, G3a or G3b. Stage 4 diabetic nephropathy (kidney failure) refers to a stage in which the albuminuria category in the severity classification of chronic kidney disease (CKD) is A1, A2 or A3, and the GFR classification is G4. Diagnosis method for diabetic nephropathy is not particularly limited, and it may be diagnosed by a known method. Methods for measuring urinary albumin and creatinine and a method for calculating estimated GFR are known in the art.
In the present embodiment, urine collected from a subject is used as a sample. The urine collected from the subject is not particularly limited depending on the physical condition, the presence or absence of meal and medication of the subject, and the like. The timing of urine collection is not also particularly limited, and any one of early morning urine, occasional urine and pooled urine may be used. In the method of the present embodiment, the urine in an amount of about 100 to 500 μL is sufficient.
As necessary, pretreatment may be performed on urine collected from a subject so as to be suitable for the measurement of ApoE concentration. Examples of such pretreatment include dilution, pH adjustment and the like. For example, it is possible to dilute urine and adjust the pH by mixing the urine with a buffer having a predetermined pH. The buffer is not particularly limited as long as it has a buffering action in a pH range suitable for the measurement of ApoE concentration. Examples thereof include Good's buffers such as Tris, MES, PIPES, TES and HEPES, phosphate buffered saline (PBS), and the like. When amorphous salts are present in urine, a chelating agent such as EDTA salt may be added to the urine to remove them. Hereinafter, urine collected from a subject and pretreated urine are also referred to as “urine sample”.
ApoE in the urine may be derived from lipoproteins taken up by phagocytes such as macrophages or produced by macrophages themselves. In the present embodiment, ApoE may be released into urine from phagocytes incorporating the ApoE as pretreatment of urine. The method of releasing ApoE from cells is not particularly limited, and examples thereof include solubilization with a surfactant, ultrasonic disruption, freeze-thawing, and the like. Solubilization of cells with a surfactant can be carried out, for example, by mixing urine collected from a subject and a buffer containing a surfactant. The addition amount of the buffer containing a surfactant can be appropriately set, but it may be added, for example, in an amount of 1 time or more and 50 times or less, and preferably 1 time or more and 10 times or less the urine volume. The type of the surfactant is not particularly limited as long as it does not disturb the measurement of ApoE. Examples thereof include Triton X-100, Tween 20, octyl glucoside, and the like. The final concentration of the surfactant in the urine sample can be appropriately set according to the type of the surfactant. For example, when using Triton X-100, the final concentration in the urine sample is 0.001% (v/v) or more and 10% (v/v) or less, and preferably 0.01% (v/v) or more and 1% (v/v) or less.
The urinary ApoE concentration can be measured by a method that can acquire a value reflecting the concentration or amount of ApoE (hereinafter, also referred to as “measured value of ApoE”) contained in the urine sample. As such a method, a method of capturing ApoE using a capture body that specifically binds to ApoE is preferable. The measured value of ApoE can be acquired by detecting the ApoE captured by the capture body by a known method. Examples of the capture body that specifically binds to ApoE include antibodies, aptamers, and the like. The antibody is particularly preferable among them. The antibody may be any of monoclonal antibodies, polyclonal antibodies, and fragments thereof (for example, Fab, F(ab′)2, etc.). The antibody that specifically binds to ApoE (hereinafter, also referred to as “anti-ApoE antibody”) itself is known in the art. The anti-ApoE antibody is generally available.
In the present embodiment, it is preferable to measure the urinary ApoE concentration by an immunoassay using an anti-ApoE antibody. Examples of immunoassay include enzyme-linked immunosorbent assay (ELISA method), an immune complex metastasis measurement method (see JP H01-254868 A), immunoturbidimetry, immunochromatography, latex agglutination method, and the like. Commercially available assay kits such as ELISA kit may be used. As an example of the measurement process, the case of measuring the urinary ApoE concentration by a sandwich ELISA method will be described below.
First, a complex containing urinary ApoE, an antibody for capturing ApoE (hereinafter, also referred to as “capture antibody”) and an antibody for detecting ApoE (hereinafter, also referred to as “detection antibody”) is formed on a solid phase. This complex can be formed by mixing a urine sample, a capture antibody and a detection antibody. Then, a solution containing the complex is brought into contact with a solid phase capable of capturing the capture antibody, whereby the complex can be formed on a solid phase. Alternatively, a solid phase preliminarily immobilized with a capture antibody may be used. That is, a solid phase immobilized with a capture antibody, a urine sample, and a detection antibody are brought into contact with each other, whereby the complex can be formed on a solid phase. When both the capture antibody and the detection antibody are monoclonal antibodies, it is preferable that the epitopes be different from each other.
The mode of immobilization of the capture antibody on the solid phase is not particularly limited. For example, the capture antibody and the solid phase may be bound directly, or the capture antibody and the solid phase may be indirectly bound via another substance. Examples of the direct bond include physical adsorption and the like. Examples of the indirect bond include a bond via a combination of biotin and avidin or streptavidin (hereinafter, also referred to as “avidins”). In this case, by preliminarily modifying the capture antibody with biotin and previously binding avidins to the solid phase, the capture antibody and the solid phase can be indirectly bound via the bond between the biotin and the avidins.
The material of the solid phase is not particularly limited, and it can be selected from, for example, organic polymer compounds, inorganic compounds, biopolymers, and the like. Examples of the organic polymer compound include latex, polystyrene, polypropylene, and the like. Examples of the inorganic compound include magnetic bodies (iron oxide, chromium oxide, ferrite, etc.), silica, alumina, glass, and the like. Examples of the biopolymer include insoluble agarose, insoluble dextran, gelatin, cellulose, and the like. Two or more of these may be used in combination. The shape of the solid phase is not particularly limited, and examples thereof include particles, membranes, microplates, microtubes, test tubes, and the like.
The measured value of ApoE in urine can be acquired by detecting the complex formed on the solid phase by a method known in the art. For example, when an antibody labeled with a labeling substance is used as a detection antibody, the measured value of ApoE can be acquired by detecting a signal generated by the labeling substance. Alternatively, also when a labeled secondary antibody against the detection antibody is used, the measured value of ApoE can be acquired in the same manner.
In the present embodiment, B/F (Bound/Free) separation for removing an unreacted free component not forming a complex may be performed between the process of forming the complex and the process of detecting the complex. The unreacted free component refers to a component not constituting a complex. Examples thereof include capture antibodies not bound to ApoE, detection antibodies, and the like. The means of B/F separation is not particularly limited, and when the solid phase is a particle, B/F separation can be performed by recovering only the solid phase capturing the complex by centrifugation. When the solid phase is a container such as a microplate or a microtube, B/F separation can be performed by removing a liquid containing an unreacted free component. When the solid phase is a magnetic particle, B/F separation can be performed by aspirating and removing a liquid containing an unreacted free component by a nozzle while magnetically constraining the magnetic particles with a magnet. After removing the unreacted free component, the solid phase capturing the complex may be washed with a suitable aqueous medium such as PBS.
The phrase “detecting a signal” herein includes qualitatively detecting the presence or absence of a signal, quantifying a signal intensity, and semi-quantitatively detecting the intensity of a signal. Semi-quantitative detection means to show the intensity of the signal in stages such as “no signal generated”, “weak”, “medium”, “strong”, and the like. In the present embodiment, it is preferable to detect the intensity of a signal quantitatively or semi-quantitatively.
The labeling substance is not particularly limited as long as a detectable signal is generated. For example, it may be a substance which itself generates a signal (hereinafter, also referred to as “signal generating substance”) or a substance which catalyzes the reaction of other substances to generate a signal. Examples of the signal generating substance include fluorescent substances, radioactive isotopes, and the like. Examples of the substance that catalyzes the reaction of other substances to generate a detectable signal include enzymes and the like. Examples of the enzymes include alkaline phosphatase, peroxidase, β-galactosidase, luciferase, and the like. Examples of the fluorescent substances include fluorescent dyes such as fluorescein isothiocyanate (FITC), rhodamine and Alexa Fluor (registered trademark), fluorescent proteins such as GFP, and the like. Examples of the radioisotopes include 125I, 14C, 32P, and the like. Among them, an enzyme is preferable as a labeling substance, and alkaline phosphatase and peroxidase are particularly preferable.
Methods for detecting a signal themselves are known in the art. In the present embodiment, a measurement method according to the type of signal derived from the labeling substance may be appropriately selected. For example, when the labeling substance is an enzyme, signals such as light and color generated by reacting a substrate for the enzyme can be measured by using a known apparatus such as a spectrophotometer.
The substrate of the enzyme can be appropriately selected from known substrates according to the type of the enzyme. For example, when alkaline phosphatase is used as the enzyme, examples of the substrate include chemiluminescent substrates such as CDP-Star (registered trademark) (disodium 4-chloro-3-(methoxyspiro[1,2-dioxetane-3,2′-(5′-chloro)tricyclo[3.3.1.13,7]decan]-4-yl) phenyl phosphate) and CSPD (registered trademark) (disodium 3-(4-methoxyspiro[1,2-dioxetane-3,2-(5′-chloro)tricyclo[3.3.1.13,7]decan]-4-yl)phenyl phosphate), and chromogenic substrates such as 5-bromo-4-chloro-3-indolyl phosphate (BCIP), disodium 5-bromo-6-chloro-indolyl phosphate and p-nitrophenyl phosphate. When peroxidase is used as the enzyme, examples of the substrate include chemiluminescent substrates such as luminol and derivatives thereof, and chromogenic substrates such as 2,2′-azinobis(3-ethylbenzothiazoline-6-ammonium sulfonate) (ABTS), 1,2-phenylenediamine (OPD) and 3,3′,5,5′-tetramethylbenzidine (TMB).
When the labeling substance is a radioactive isotope, radiation as a signal can be measured using a known apparatus such as a scintillation counter. When the labeling substance is a fluorescent substance, fluorescence as a signal can be measured using a known apparatus such as a fluorescence microplate reader. The excitation wavelength and the fluorescence wavelength can be appropriately determined according to the type of fluorescent substance used.
The detection result of the signal may be used as the measured value of ApoE. For example, when quantitatively detecting the intensity of a signal, the signal intensity value itself or a value acquired from the intensity value can be used as the measured value of ApoE. Examples of the value acquired from the signal intensity value include a value obtained by subtracting the signal intensity value of a negative control sample or a background value from the signal intensity value of ApoE. The negative control sample can be appropriately selected, and examples thereof include urine obtained from a healthy subject and the like.
In the present embodiment, the measured value of ApoE may be acquired for a plurality of standard samples whose ApoE concentrations are known, and a calibration curve showing the relationship between the ApoE concentration and the measured value of ApoE may be prepared. The value of urinary ApoE concentration can be acquired by applying the measured value of ApoE acquired from the urine sample to this calibration curve. In order to avoid an error due to urine volume, it is preferable to correct the value of the acquired urinary ApoE concentration by the value of the urinary creatinine concentration of the subject. Specifically, it is preferable to convert the value of urinary ApoE concentration to the ApoE concentration (μg/gCr) per gram of creatinine. This makes it possible to compare the values of urinary ApoE concentration between specimens.
In the present embodiment, the urinary ApoE concentration may be measured by a sandwich ELISA method using a capture antibody immobilized on magnetic particles and a detection antibody labeled with a labeling substance. In this case, measurement may be carried out using a commercially available fully automated immunoassay system such as HISCL series (manufactured by Sysmex Corporation).
Next, in the method of the present embodiment, based on the value of urinary ApoE concentration, whether or not the risk of progressing diabetic nephropathy in the subject is high is determined. Specifically, when the value of urinary ApoE concentration is equal to or greater than a predetermined threshold value, it can be determined that the risk of progressing diabetic nephropathy in the subject is high. When the value of urinary ApoE concentration is less than a predetermined threshold value, it can be determined that the risk of progressing diabetic nephropathy in the subject is not high or low. The term “progression” of diabetic nephropathy refers to that diabetic nephropathy in a certain patient shifts from a stage at the time of implementing the method of the present embodiment to a worse stage. For example, the progression from stage 2 diabetic nephropathy to stage 3 or stage 4, the progression from stage 3 diabetic nephropathy to stage 4, and the progression from stage 4 diabetic nephropathy to stage 5 are referred to.
In the case where it has been determined that the risk of progression of diabetic nephropathy is high by the method of the present embodiment, when the subject does not receive treatment and dietary restriction stricter than the present ones, it may be predicted that diabetic nephropathy will progress within a predetermined period. In the case where it has been determined that the risk of progression of diabetic nephropathy is not high or low, it may be predicted that diabetic nephropathy will not progress within a predetermined period by continuing the treatment method the subject currently receives. The predetermined period is, for example, a period of 12 months, and preferably 6 months. As described above, the method of the present embodiment makes it possible to provide a doctor and the like with information that assists diagnosis of risk of progression of diabetic nephropathy.
The above-mentioned predetermined threshold value is not particularly limited, and it can be appropriately set. For example, the predetermined threshold value may be empirically set by accumulating data on the renal function including the value of urinary ApoE concentration for patients with diabetic nephropathy. Alternatively, the predetermined threshold value may be set as follows. First, urine is collected from a plurality of patients with diabetic nephropathy, and the urinary ApoE concentration is measured. After a lapse of a predetermined period from the collection of urine, these patients are examined for renal function, and the stage of diabetic nephropathy is confirmed. The measured urinary ApoE concentration data is classified into data of a patient group in which diabetic nephropathy has progressed and data of a patient group in which diabetic nephropathy has not progressed. Then, a value that can most accurately distinguish the urinary ApoE concentration of the patient group in which diabetic nephropathy has progressed and the urinary ApoE concentration of the patient group in which diabetic nephropathy has not progressed is obtained, and the value is set as a predetermined threshold value. In setting the threshold value, it is preferable to consider sensitivity, specificity, positive predictive value, negative predictive value, and the like.
The scope of the present disclosure also includes a reagent kit used for the method for assisting diagnosis of risk of progression of diabetic nephropathy. That is, the present disclosure provides a reagent kit for diagnosing the risk of progression of diabetic nephropathy (hereinafter, also referred to as “reagent kit”), comprising a first capture body that specifically binds to ApoE for capturing ApoE, a second capture body that specifically binds to ApoE for detecting ApoE, and a labeling substance. When the labeling substance is an enzyme, the reagent kit of the present embodiment may further contain a substrate for the enzyme.
In the present embodiment, the forms of the first capture body, the second capture body, the labeling substance and the substrate are not particularly limited, and they may be a solid (for example, powder, crystal, freeze-dried product, etc.) or liquid (for example, solution, suspension, emulsion, etc.). In the present embodiment, it is preferable that the first capture body, the second capture body, the labeling substance and the substrate be stored in separate containers or individually packaged. The details of the urine sample, the first capture body, the second capture body, the labeling substance and the substrate are the same as those described in the explanation of the diagnosis assisting method. In the present embodiment, it is preferable that both the first capture body and the second capture body be anti-ApoE antibodies. When both the first capture body and the second capture body are monoclonal antibodies, it is preferable that the epitopes are different from each other.
In the present embodiment, a container storing the above-described various reagents may be packed in a box and provided to the user. This box may contain a package insert of the reagent kit. In this package insert, it is preferable to describe, for example, the constitution of the reagent kit, the protocol for measuring urinary ApoE concentration, and the like. An example of the appearance of the reagent kit of the present embodiment is shown in
The reagent kit of the present embodiment may further contain a pretreatment liquid for pretreating urine collected from a subject. As the pretreatment liquid, the above-mentioned buffer solution is preferable. The pretreatment liquid may contain a surfactant for solubilizing cells that incorporate ApoE. The details of the buffer and surfactant are the same as those described in the explanation of the diagnosis assisting method. In the present embodiment, it is preferable that the first capture body, the second capture body, the labeling substance, the substrate and the pretreatment liquid be stored in separate containers or individually packaged. An example of the appearance of a reagent kit further containing a pretreatment liquid is shown in
The reagent kit of the present embodiment may further contain a solid phase for immobilizing the first capture body. In this case, it is preferable that the first capture body, the second capture body, the labeling substance, the substrate and the solid phase be stored in separate containers or individually packaged. An example of the appearance of a reagent kit further containing a solid phase is shown in
In a further embodiment, the first capture body may be previously immobilized on a solid phase. The labeling substance may be previously bound to the second capture body. In this case, a reagent kit contains a solid phase on which a first capture body is immobilized, a second capture body to which a labeling substance is bound, and a substrate. An example of the appearance of the reagent kit is shown in
When the reagent kit of the present embodiment is used in the method for assisting diagnosis of risk of progression of diabetic nephropathy based on the ratios of the value of the urinary ApoE concentration and the values of the urinary concentrations of other nephropathy markers, a third capture body that specifically binds to other nephropathy markers for capturing the other nephropathy markers and a fourth capture body that specifically binds to other nephropathy markers for detecting the other nephropathy markers may be further contained.
In addition to the various reagents described above, the reagent kit of the present embodiment may appropriately contain a washing liquid of the solid phase, an enzyme reaction terminating agent, a calibrator, and the like.
The scope of the present disclosure also includes the use of the above reagent for the manufacturing of a reagent kit for diagnosing the risk of progression of diabetic nephropathy. That is, the present disclosure also relates to a use of a first capture body that specifically binds to ApoE for capturing ApoE, a second capture body that specifically binds to ApoE for detecting ApoE, and a labeling substance, for manufacturing a reagent kit for diagnosing the risk of progression of diabetic nephropathy.
The present disclosure includes an apparatus suitable for acquiring data for assisting diagnosis of the risk of progression of diabetic nephropathy. The present disclosure also includes a computer program product for making the computer acquire the data for assisting diagnosis of the risk of progression of diabetic nephropathy. The medium included in the computer program product may be a computer-readable medium in which a computer program is non-temporarily recorded.
Hereinafter, an example of an apparatus suitable for implementing the above-described method of the present embodiment will be described with reference to the drawings. However, the present disclosure is not limited to only the embodiment shown in this example.
In the present embodiment, the type of measurement device is not particularly limited, and it can be appropriately selected according to the method of measuring ApoE. In the example shown in
When the plate subjected to an antigen-antibody reaction is set in the measurement device 22, the measurement device 22 acquires optical information based on the labeled antibody specifically bound to ApoE, and the measurement device 22 transmits the obtained optical information to the determination device 33. The optical information acquired by the measurement device 22 also includes information on a specimen whose concentration is known for calculation of the value of the urinary ApoE concentration and the like.
The determination device 33 includes a computer main body 33a, an input unit 33b, and a display unit 33c that displays specimen information, determination results, and the like. The determination device 33 receives the optical information from the measurement device 22. Then, a processor of the determination device 33 executes a program for acquiring data for assisting diagnosis of the risk of progression of diabetic nephropathy, based on the optical information.
The receiving unit 301 receives the information transmitted from the measurement device 22. The storage unit 302 stores an expression for calculating a threshold value required for determination and a density value of each marker, a processing program, and the like. Using the information acquired by the receiving unit 301, the calculation unit 303 calculates the value of urinary ApoE concentration or the ratios of the value of the urinary ApoE concentration and the values of the urinary concentrations of other nephropathy markers, according to the expression stored in the storage unit 302. The determination unit 304 determines whether the value of urinary ApoE concentration or the ratios of the value of the urinary ApoE concentration and the values of the urinary concentrations of other nephropathy markers calculated by the calculation unit 303 is equal to or greater than or less than the threshold value stored in the storage unit 302. The output unit 305 outputs the determination result of the determination unit 304 as data for assisting diagnosis of the risk of progression of diabetic nephropathy.
The CPU 330 can execute a computer program stored in the ROM 331 and a computer program loaded in the RAM 332. Each function shown in
The ROM 331 is constituted of a mask ROM, a PROM, an EPROM, an EEPROM, and the like. In the ROM 331, a computer program executed by the CPU 330 and data used therefor are recorded.
The RAM 332 is constituted of an SRAM, a DRAM, and the like. The RAM 332 is used for reading the computer program recorded in the ROM 331 and the hard disk 333. The RAM 332 is also used as a work area of the CPU 330 when executing these computer programs.
The hard disk 333 has installed therein an operating system for making the CPU 330 execute, a computer program such as an application program (a computer program for acquiring data for assisting diagnosis of the risk of progression of diabetic nephropathy) and data used for executing the computer program.
The reading device 335 is constituted of a flexible disk drive, a CD-ROM drive, a DVD-ROM drive, and the like. The reading device 335 can read a computer program or data recorded on a portable recording medium 340.
The input/output interface 334 is constituted of, for example, a serial interface such as USB, IEEE1394 or RS-232C, a parallel interface such as SCSI, IDE or IEEE1284, and an analog interface including a D/A converter, an A/D converter and the like. The input unit 33b such as a keyboard and a mouse is connected to the input/output interface 334. The operator can input various commands and data to the computer main body 33a through the input unit 33b.
The communication interface 336 is, for example, an Ethernet (registered trademark) interface or the like. The computer main body 33a can transmit print data to a printer or the like through the communication interface 336. The measurement device 22 can transmit measurement data (optical information) to the determination device 33 through the communication interface 336.
The image output interface 337 is connected to the display unit 33c constituted of an LCD, a CRT, and the like. Accordingly, the display unit 33c can output the video signal corresponding to the image data given from the CPU 330. The display unit 33c displays an image (screen) according to the inputted video signal.
Next, a processing procedure of data acquisition assisting diagnosis of the risk of progression of diabetic nephropathy by the progression risk diagnosis assisting apparatus 11 will be described.
First, in Step S1-1, the receiving unit 301 of the progression risk diagnosis assisting apparatus 11 receives optical information from the measurement device 22. Next, in Step S1-2, the calculation unit 303 calculates the value of urinary ApoE concentration, according to the expression for calculating the concentration value stored in the storage unit 302, from the optical information received by the receiving unit 301.
Thereafter, in Step S1-3, the determination unit 304 determines whether the value calculated in Step S1-3 is equal to or greater than or less than the threshold value stored in the storage unit 302. When the calculated value is equal to or greater than the threshold value, the routine progresses to Step S1-4, and the determination unit 304 transmits to the output unit 305 a determination result indicating that the risk of progression of diabetic nephropathy is high. When the calculated value is less than the threshold value, the routine progresses to Step S1-5, and the determination unit 304 transmits to the output unit 305 a determination result indicating that the risk of progression of diabetic nephropathy is not high (or low).
Then, in Step S1-6, the output unit 305 outputs the determination result and displays it on the display unit 33c. Accordingly, the progression risk diagnosis assisting apparatus 11 can provide doctors and the like with data for assisting diagnosis of the risk of progression of diabetic nephropathy.
Hereinafter, the present disclosure will be described in detail by examples, but the present disclosure is not limited to these examples.
Blood and urine were collected from subjects who were patients with stage 2 (incipient nephropathy), stage 3 (overt nephropathy) or stage 4 (kidney failure) diabetic nephropathy showing a urinary albumin/Cr (creatinine) ratio of 30 mg/gCr or more, and these subjects were divided into a group in which the stage of diabetic nephropathy had progressed and a group in which the stage of diabetic nephropathy had not progressed after 6 months. The ApoE concentrations in blood and in urine of subjects in each group were compared.
(1) Collection of sample from subject
Blood and urine were collected as samples from patients (n=24) with stage 2 (incipient nephropathy), stage 3 (overt nephropathy) or stage 4 (kidney failure) diabetic nephropathy showing a urinary albumin/Cr (creatinine) ratio of 30 mg/gCr or more.
(2) Measurement of biomarker
(2.1) Measurement of serum creatinine concentration
The serum creatinine (sCR) concentration was measured from blood of each of the subjects, using ELSYSTEM·CRE (Sysmex Corporation) and CRE standard solution (Sysmex Corporation). Specific operations were performed according to the package insert of the reagent.
(2.2) Measurement of concentrations of ApoE, ApoB and creatinine in urine
Urine of each subject obtained in the above (1) and Triton-X100/PBS attached to a kit described later were mixed in equal amounts and then diluted 25-fold with a specimen diluent. The urinary concentrations of ApoE and ApoB were measured from diluted urine, using Human Apolipoprotein E ELISA Pro Kit (Cell Biolabs, Inc.) and Human Apolipoprotein B ELISA Pro Kit (MABTECH AB). Specific operations were performed according to the package insert of the kit, except for using diluted urine instead of serum. The urinary creatinine concentration was measured from urine of each of the subjects, using ELSYSTEM·CRE (Sysmex Corporation) and CRE standard solution (Sysmex Corporation). Specific operations were performed according to the package insert of the reagent. In order to correct errors due to urine volume, the measured urinary ApoE and ApoB concentrations were converted to concentrations per gram of creatinine (μg/gCr), using the urinary creatinine concentration.
(2-3) Other urinary markers
The urinary concentrations of α1-microglobulin (α1M), Kidney injury molecule-1 (KIM-1), N-acetylglucosaminidase (NAG), type IV collagen, urinary albumin (uALB), urinary protein (uTP), urinary cholesterol (uCHO) and L-type fatty acid binding protein (LFABP) were measured as other urinary biomarkers of kidney disease. The α1M concentration was measured using LZ test ‘Eiken’ α-1M (Eiken Chemical Co., Ltd.) and LZ-α1-M standard ‘Eiken’ for urinary α-1M measurement (Eiken Chemical Co., Ltd.) according to the package insert. The KIM-1 concentration was measured using KIM-1 (human) Elisa Kit (Enzo Life Sciences, Inc.) according to the package insert. The NAG concentration was measured using L type NAG (Wako Pure Chemical Industries, Ltd.) and NAG calibrator (Wako Pure Chemical Industries, Ltd.) according to the package insert. Type IV collagen was measured using Panauria (registered trademark) uIV·C “plate” (KYOWA PHARMA CHEMICAL CO., LTD.) according to the package insert. The uALB concentration was measured using LZ test ‘Eiken’ U-ALB (Eiken Chemical Co., Ltd.) and LZ-U-ALB calibrator ‘Eiken’ (Eiken Chemical Co., Ltd.) according to the package insert. uTP was measured using micro TP-AR (Wako Pure Chemical Industries, Ltd.) and a protein standard solution (protein 100 mg/dL, Wako Pure Chemical Industries, Ltd.) according to the package insert. The uCHO concentration was measured in accordance with Japanese Patent No. 4527925. The LFABP concentration was measured using Nordia (registered trademark) L-FABP (SEKISUI MEDICAL CO., LTD.) and L-FABP calibrator (SEKISUI MEDICAL CO., LTD.) according to the package insert. In order to correct errors due to urine volume, the measured concentration of each biomarker was converted to concentration per gram of creatinine (μg/gCr), using the urinary creatinine concentration.
(3) Classification of subjects
The sCR concentration was measured 6 months after the sampling in the above (1). Estimated glomerular filtration rate (eGFR) was calculated from the measured value of sCR obtained, according to the following formula. In the formula, the “Age” is the age of the subject.
eGFR (mL/min/1.73 m2)=194×sCr−1.094×Age−0.287 (when the subject is a female, eGFR=194×sCr−0.739×Age−0.287)
From the rate of change of eGFR at the time of sampling and 6 months later, the rate of change (%) of eGFR per year was calculated according to the following formula. The value of the obtained change rate was taken as the progression index (%) of diabetic nephropathy. A subject with a progression index of 0 or more was classified into a group in which the stage of diabetic nephropathy had not progressed (hereinafter, also referred to as “non-progression group” (n=11)), and a subject with a progression index of lower than 0 was classified in which the stage of diabetic nephropathy had progressed (hereinafter, also referred to as “progression group” (n=13)).
Progression index (%)=[(eGFR after 6 months−eGFR at sampling)/(eGFR at sampling)]×Interval of measurement days (days)×100/365
(4) Statistical analysis
From the value of urinary biomarker on the day of urine collection, whether or not the progression index could be predicted was evaluated by single regression analysis.
(5) Result
The analysis results are shown in Table 1. In Table 1, the risk rate P value shows the result of single regression analysis of a single concentration of each biomarker and it can be said that there is a significant difference when the P value is lower than 0.05.
As is apparent from Table 1, it was shown that the change amount of eGFR after 6 months can be predicted from the urinary ApoE concentration, and the progression risk of diabetic nephropathy can be accurately predicted.
| Number | Date | Country | Kind |
|---|---|---|---|
| 2016-185661 | Sep 2016 | JP | national |
