METHOD AND BIOMARKERS FOR IN VITRO DIAGNOSIS OF MENTAL DISORDERS

Information

  • Patent Application
  • 20200370092
  • Publication Number
    20200370092
  • Date Filed
    November 27, 2017
    8 years ago
  • Date Published
    November 26, 2020
    5 years ago
Abstract
The invention relates to a method for in vitro diagnosis of the presence of a mental disorder in a human individual or the predisposition of the human individual to the mental disorder, wherein the mental disorder is associated with a dysfunctional DISC1 protein pathway or disturbed dopamine homeostasis, the method comprising: a) measuring in a sample of a body tissue or fluid from the individual the expression levels of at least two marker genes, each of which coding for at least one marker protein; b) comparing the measured expression levels to predetermined threshold values representing the expression levels of said marker genes in a healthy population; and c) based on the comparison, determining whether the individual has the mental disorder or a predisposition to the mental disorder, wherein the measured expression levels are indicative to the mental disorder or disposition if the measured expression levels of said marker genes exceed, reach or fall below the predetermined threshold value. For example, the expression level (relative mRNA expression) of each of the marker genes Ifng, Ccl4, Il13ra1, Il12rb2, C3, and Slc27a2 is significantly decreased in a transgenic rat (TG, gray) in relation to non-transgenic littermates (LM, white). That is, the lower expression level of each tested marker gene in the transgenic rat relative to the expression level of the respective marker gene in the non-transgenic control is indicative of dysfunctional DISC1 protein pathway or disturbed dopamine homeostasis.
Description
FIELD OF THE INVENTION

The invention relates to a method for in vitro diagnosis of the presence of a mental disorder in a human individual or the predisposition of the human individual to the mental disorder. The invention further relates to a marker protein, a nucleic acid molecule, or a combination of marker proteins or nucleic acid molecules for use in in vitro diagnostics, and to a kit for diagnosing the presence of a mental disorder in a human individual or the predisposition of the human individual to the mental disorder in vitro. The invention also concerns a nonhuman transgenic animal useful for providing organs, tissues, or cells for use in the identification and analysis of marker proteins for human individuals, as well as a method for determining the therapeutic effect of a potential pharmaceutical compound on a mental disorder, or a predisposition of a human individual to the mental disorder, using the transgenic animal.


BACKGROUND OF THE INVENTION

Mental disorders such as schizophrenia or depression are so far solely diagnosed by a clinical approach through an interview based on the patient's self-reported experiences, behaviour reported by relatives or friends, and a mental status exam. There is no reliable and useful objective laboratory test for mental disorders, for example, based on a biological cause. That unmated clinical diagnosis is unsatisfactory by the reason that a small part of subjectivity remains and that the whole test is addicted to an observer. Another issue is the point that the heterogeneous disease course suggests different biological causes. In one case an illness runs with one single episode and has no residuum, in another case multiple episodes with no or minimum residuum are the result, such as a case which is characterised by a residuum after a first episode falling into relapse without the return to normality or a case with progressing residuum after each episode of the disorder without a return to normality. The various ways of a mental disorder makes it harder to correctly diagnose the illness by mere clinical diagnosis only with the aim of finding the right way to treat the patients. However, patients and their affiliated persons such as the pharmaceutical companies are interested on an objective and independent method to diagnose mental disorders like schizophrenia or depression.


It is assumed that there are several biological causes for mental disorders such as schizophrenia or depression, which, however, all converge in a common behavioural pathway which then can give the illusion of a homogeneity of an underlying biology. For example, typical biological symptoms of a schizophrenia patient are the increased striatal dopamine levels. Another possible symptom are neuroanatomical abnormalities such as enlarged ventricles, aberrant interneuron positioning, or biochemical abnormalities such as abnormal proteostasis of some key proteins. Based on this knowledge an objective method to diagnose a mental disorder like schizophrenia should be discovered.


For example, disrupted in schizophrenia 1 (DISC1) is a protein that has been shown to participate in the regulation of cell proliferation, differentiation, migration, neuronal axon and dendrite outgrowth, mitochondrial transport, fission and/or fusion, and neurotransmitter functions at the synapse. Several studies have shown that unregulated expression may predispose animals to behavioural abnormalities or human individuals to the development of schizophrenia, clinical depression, bipolar disorder, and other psychiatric conditions. It has been hypothesized that unbalanced proteostasis in neurons may lead to DISC1 protein aggregates in a subset of patients with schizophrenia or other chronic mental disorders, and several findings justify classification of DISC1-dependent brain disorders as protein conformational disorders which we have tentatively termed DISC1opathies (Korth, 2012). That is, disturbed proteostasis and protein aggregation can be considered as a mechanism of mental disorders.


PRIOR ART

Dean (2011) outlines the evolving notion of biomarkers for diagnosing mental disorders, especially schizophrenia, and discloses outcomes from a variety of biomarkers discovery strategies. In particular, the impact of high-throughput screening technologies on biomarker discovery is highlighted and how new or improved technologies may allow the discovery of either diagnostic biomarkers for schizophrenia or biomarkers that will be useful in determining appropriate treatments for people with the disorder. It is suggested that biomarkers can be identified and that these biomarkers will be useful in diagnosing and treating people with schizophrenia. However, although Dean suggests some proteins as potential biomarkers for schizophrenia and bipolar disorders, the author admits that those biomarkers still have to be validated and the development of clinically useful markers may still take a long time.


Chan et al. (2015) describe the development of a serum biomarker test for the identification of individuals at risk of developing schizophrenia based on multiplex immunoassay profiling analysis. A meta-analysis of independent cohorts of first-onset drug-naive schizophrenia patients and controls was conducted. Using least absolute shrinkage and selection operator regression, an optimal panel of biomarkers that best discriminated patients and controls was identified. This biomarker panel was verified using two independent validation cohorts and its predictive performance for identifying patients before onset of psychosis was tested using two cohorts of pre-onset or at-risk individuals. These findings are alleged to represent the first successful step towards a test that could address the clinical need for early intervention in psychiatry. However, this study does not consider underlying biological heterogeneity of schizophrenia as the identification of biomarkers starts in patient cohorts defined by clinical diagnosis.


WO 2013/186562 A1 discloses a biomarker set for diagnosing disorders like depression, anxiety disorder or other psychotic disorders consisting of eleven markers. It is suggested to use one or more analytes selected from Interleukin 10 (IL-10), Interleukin 18 (IL-18), Interleukin 2 (IL-2), Interleukin 8 (IL-8), Monocyte Chemotactic Protein 1 (MCP-1), Macrophage Inflammatory Protein 1 alpha (MIP-Iα), Macrophage Inflammatory Protein 1 beta (MIP-Iβ), Matrix Metalloproteinase 2 (MMP-2), Tumor Necrosis Factor beta (TNF-β), Interleukin 4 (IL-4), and Interferon gamma (IFN-γ) as a biomarker for such diseases, or predisposition thereto. WO 2013/186562 A1 further discloses a method of diagnosing depression, anxiety disorder or other psychotic disorders in an individual, wherein the amounts of said analyte biomarkers in a biological sample obtained from the individual are quantified and then compared with the amounts present in a normal control sample from a normal subject, such that a difference in the level of the analyte biomarkers in the biological sample is indicative of the disorder, or predisposition thereto. The data provided show that the analytes may be statistically significant biomarkers for the diagnosis of depression and anxiety disorder. In particular, innate immune responsiveness is increased in persons with depressive and anxiety disorders, indicating a possible genetic vulnerability for depression or anxiety.


From WO 2010/097631 A1 it is known to use IL-17, IgA, Cortisol (CORT), Apolipoprotein AI, IL-6, Complement 3 (C3), Factor VII, Serum Amyloid P (SAP or APCS), Beta 2 Microglobulin, ICAM-I, IL-I beta, TNF alpha, MIF, Angiotensinogen, NrCAM (Neuronal cell adhesion molecule), CD40, Cancer Antigen 125 (CA125), HCC 4 (CCL6; SCYA6), Eotaxin 3 (CCL26 or SCYA26), VEGF, Haptoglobin (HP), IL-I alpha, Apolipoprotein H (Beta-2 Glycoprotein) and TIMP 1 as a specific panel of analyte biomarkers for major depressive disorder, or predisposition thereto. This panel of biomarkers can be used in a method of diagnosing or monitoring major depressive disorder, or predisposition thereto, wherein said analyte biomarkers are detected and/or quantified in a sample from a test subject. The levels of these analyte biomarkers are found to be increased in patients with major depressive disorder.


US 2011/0136738 A1 discloses a method for identifying gene targets which are associated with schizophrenia or schizophrenia-like symptoms. Animal models of schizophrenia were utilized, and initiated, and from tissue obtained from at least one of those animals, transcriptional regulation was assessed over time, relative to the onset of the schizophrenia model. It is suggested to measure gene expression from animals at time points after, and, optionally, before the initiation of the model and to compare the gene expression, whether from before or after the initiation of the model, or both, to gene expression at one or more time points from control animals, which are not subject to a schizophrenia model. Transcripts can then be detected which are dysregulated in tissue from animals that are a model of schizophrenia. Any change in gene expression observed in the schizophrenia model, whether relative to other time points in the same model, relative to another schizophrenia model, or relative to the same time point or time points in control animals can be informative with respect to gene targets for schizophrenia or the symptoms of schizophrenia. However, although several genes have been identified, the dysregulation of which seems to be indicative of the presence of schizophrenia or the symptoms thereof, this document does neither provide any clinically suitable biomarkers nor any validated test for diagnosing schizophrenia.


Accordingly, there is a need to identify biological causes involved in mental disorders such as schizophrenia, as well as for methods that can detect such causes so they can be utilized in screening therapeutics, in diagnosing mental disorders, and in developing treatments for individuals with mental disorders. These biological causes may be manifold and consist in genes, protein pathology, or others. There is also a need for new biomarkers and methods for diagnosing mental disorders or detecting susceptibility to mental disorders, and for preventing or following up development of such disorders.


Moreover, patients and their relatives want an “objective” diagnosis rather than an oral verdict and pharmaceutical companies want an “objective” test to base 100-million EU clinical trials thereon, rather than a clinical diagnosis. However, although some single biomarkers or rather large biomarker sets for diagnosing mental disorders are already known, there is still no reliable and precise test which would be suitable to replace or even support the common clinical approach. In contrast, the current issue with the known biomarker tests is that they involved only a few and unspecific or too many biomarkers so that they get either inaccurate or too extensive and thus are not reliable and deliver aberrant diagnoses. Yet another problem in current biomarker identification is that this identification starts in patient cohorts defined by clinical diagnosis and not considering underlying biological heterogeneity. As a consequence of this procedure, any possible specific effects in patient subsets are diluted out.


SUMMARY OF THE INVENTION

It is the objective of the invention to provide a method for in vitro diagnosis of the presence of a mental disorder in a human individual or the predisposition of the human individual to the mental disorder, as well as at least one marker protein, nucleic acid molecule, or combination of marker proteins or nucleic acid molecules for use in such method, which ensure an accurate and reliable diagnosis of mental disorders.


This objective is met by a method for in vitro diagnosis of the presence of a mental disorder in a human individual or the predisposition of the human individual to the mental disorder, wherein the mental disorder is associated with a dysfunctional DISC1 protein pathway or disturbed dopamine homeostasis, and wherein said method comprises:

  • a) measuring in a sample of a body tissue or fluid from the individual the expression levels of at least two marker genes, each of which coding for at least one marker protein, wherein said marker genes are selected from the group consisting of human NKG7, RGS1, CCL4, IFNG, IL12RB2, IL13RA1, KMO, FPR2, SLC27A2, and C3;
  • b) comparing the measured expression levels to predetermined threshold values representing the expression levels of said marker genes in a healthy population; and
  • c) based on the comparison, determining whether the individual has the mental disorder or a predisposition to the mental disorder, wherein the measured expression levels are indicative to the mental disorder or disposition if the measured expression levels of said marker genes exceed, reach or fall below the predetermined threshold value.


In the method according to the invention the measured expression levels of at least two marker genes are combined in order to determine whether the individual has the mental disorder or a predisposition to the mental disorder in step c). Combining two or more markers significantly increases specificity of the method according to the invention. In some cases, sensitivity of the method may be decreased at the same time. However, in the method according to the invention specificity is more important than sensitivity since the method is provided for a sub-group of patients only and thus low sensitivity relating to the all-comprising clinical diagnosis is expected and can therefore be neglected.


The threshold values are predetermined by empirically determining a reference (standard) expression level for each marker gene, i.e. the average expression level of the marker gene in a healthy population. The measured expression levels of the marker genes in the body tissue or fluid sample of the individual (patient) are each compared to the respective predetermined threshold value. If the measured expression levels of said marker genes exceed, reach or fall below the predetermined threshold values (the direction of the change depends on whether the respective aberrant expression level is higher or lower than the respective normal expression level), it is indicated that the individual has the mental disorder or at least a predisposition thereto. That is, altered expression levels of the marker genes in the body tissue or fluid sample relative to the expression levels of the same marker genes in the normal control (reference or standard expression levels of a healthy population) are indicative of the presence of the mental disorder, or predisposition thereto.


According to the invention the method is focused on a subset of so far purely clinically defined mental disorders that are associated with a dysfunctional DISC1 protein pathway or disturbed dopamine homeostasis. That is, the method according to the invention is useful for a subset of patients that are afflicted with mental disorders caused by disturbed homeostasis of DISC1 protein/pathway or dopamine homeostasis. For example, unregulated expression, degradation or altered protein structure of DISC1 may predispose individuals to the development of schizophrenia, recurrent depression, bipolar disorder, and other psychiatric conditions. So-called DISC1opathies seem to be caused by unbalanced proteostasis in neurons leading to DISC1 protein aggregates so that DISC1-dependent brain disorders may be classified as protein conformational disorders. Accordingly, protein aggregation can be deemed as a biological phenotype for sporadic chronical mental disorders for a subgroup of patients, for example schizophrenia or depression patients. Sporadic disorders are understood to represent disease entities where no clear and unambiguous genetic cause can be identified.


The extended DISC1 pathway includes many other genes, also involved in either mental illness or neurodegenerative disease (FIG. 1; Hennah & Porteous 2009; Soares et al. 2011; Korth 2009 und 2012). The marker genes listed in Table 1 (and their human equivalents), in particular NKG7, RGS1, CCL4, IFNG, IL12RB2, IL13RA1, KMO, FPR2, SLC27A2 and C3, belong to a network of genes directly or indirectly regulated by DISC1, DISC1-associated proteins, or the DISC1 pathway and are therefore potentially useful as biomarkers for diagnosing mental disorders that are associated with a dysfunctional DISC1 protein pathway.


Dopamine also plays a critical role in the genesis of psychosis, the acute symptom of schizophrenia. It is hypothesized that a framework exists which links risk factors, including pregnancy and obstetric complications, stress and trauma, drug use, and genes, to increased presynaptic striatal dopaminergic function. This hypothesis explains how a complex array of pathological, positron emission tomography, magnetic resonance imaging, and other findings, such as frontotemporal structural and functional abnormalities and cognitive impairments, may converge neurochemically to cause psychosis through aberrant salience and lead to a diagnosis of schizophrenia (Howes & Kapur 2009). Moreover, on a molecular mechanistic level, DISC1 missassembly seems to modulate dopamine homeostasis. DISC1opathies thus define a biology-based category of human mental illnesses with involvement of the dopamine system that can be modeled in animals, i.e. in a transgenic animal (e.g., tgDISC1 rat). Accordingly, marker proteins involved in dopamine homeostasis may also be potentially useful as biomarkers for diagnosing mental disorders that are associated with a dysfunctional DISC1 protein pathway. Known tests for diagnosing schizophrenia start biomarker discovery with the clinical diagnosis of the disease, which is doomed to fail because of underlying clinical heterogeneity that dilutes any possible significant biomarkers for subsets of clinically defined mental disorders, and known array tests generated by proteomics use surrogate markers rather than markers based on biological causes, which results in low plausibility. The method according to the invention is based on a biological definition (e.g., “DISC1opathy”) and a biological (animal) model thereof. Accordingly, the marker genes used therein (NKG7, RGS1, CCL4, IFNG, IL12RB2, IL13RA1, KMO, FPR2, SLC27A2, and C3) belong to a network of genes directly or indirectly regulated by DISC1-associated proteins. This advantageous approach provides high plausibility as it is based on a subgroup of patients with a defined biological cause and thus avoids to be affected by clinical and biological heterogeneity of the various mental disorders. Using the human equivalents of the marker genes selected from the group consisting of NKG7, RGS1, CCL4, IFNG, IL12RB2, IL13RA1, KMO, FPR2, SLC27A2, and C3, the method according to the invention therefore ensures an accurate and reliable diagnosis of mental disorders that are associated with a dysfunctional DISC1 protein pathway or disturbed dopamine homeostasis. The marker genes and proteins used herein also comprise processed proteins or splice variants, i.e. molecules derived from the original gene or protein indicated.


In an advantageous embodiment of the invention a first marker gene is RGS1 and at least one second marker gene is selected from the group consisting of human NKG7, CCL4, IFNG, IL12RB2, IL13RA1, KMO, FPR2, SLC27A2, and C3. These marker genes or the transcripts or related marker proteins thereof, alone or in various combinations, are particularly advantageous for diagnosing mental disorders associated with a dysfunctional DISC1 protein pathway or disturbed dopamine homeostasis. Preferably, RGS1 is combined with CCL4 and/or NKG7. Especially RGS1 is correlated to cognitive endophenotypes of patients and also clearly decreased in patients. On the other hand, the NK cell markers CCL4 and NKG7 have by themselves already a high diagnostic potential, however they are not expressed in the brain. The decreased NK cell genes NKG7and CCL4 have no overap with RGS1 in terms of co-regulation. Therefore, RGS1 in conjunction with an NK cell marker is advantageous to diagnose the subset with credibility, plausibility and specificity. No single marker is likely able to do this because one is not expressed in the brain, the other not specific enough.


In another advantageous embodiment of the invention at least one additional marker gene is selected from the human equivalents of the genes listed in Table 1. Using additional marker may further increase sensitivity and/or sensitivity of the method according to the invention. The marker genes and proteins indicated in Table 1 also comprise processed proteins or splice variants, i.e. molecules derived from the original gene or protein indicated.


In another advantageous embodiment of the invention the measured expression levels are indicative to the mental disorder or disposition if each measured expression level is lower than a respective reference expression level and/or reaches or falls below the predetermined threshold value. That is, a lower expression level of the marker genes in the body tissue or fluid sample relative to the respective expression levels in the normal controls (reference or standard expression levels of a healthy population) is indicative of the presence of the mental disorder, or predisposition thereto. Surprisingly, the marker genes selected from the group consisting of human NKG7, RGS1, CCL4, IFNG, IL12RB2, IL13RA1, KMO, FPR2, SLC27A2, and C3 are all downregulated, i.e. their transcript level is decreased relative to the reference (standard) level of a healthy population. In contrast, prior art assumes increased marker levels, particularly, with markers for pro-inflammatory cytokines. The decreased expression levels of the marker genes according to the invention therefore seem to represent a subset of cases with decreased inflammatory markers. Surprisingly, this is not in contradiction to previous findings because the decrease of these markers in a subset is diluted out and overcompensated by an increase of the same markers in the other subsets such that when the all-comprising clinical diagnosis is used the markers appear slightly increased.


In another advantageous embodiment of the invention, the body tissue or fluid is selected from whole blood, blood plasma, blood serum, cerebrospinal fluid, urine, saliva, biopsy material, and/or isolated cells and their ex vivo derivatives. For example, the body fluid can also be modelled by taking cells from a patient or human individual and reprogramming those to various cell types (induced pluripotent stem (iPS) cells and differentiation of those).


In another advantageous embodiment of the invention the expression levels of the marker genes (transcript levels) may be measured by quantitative reverse transcription Polymerase Chain Reaction (qRT-PCR), quantitative real-time PCR, or any other method suitable to determine the amount of transcript (mRNA or cDNA) within the body fluid. Alternatively, the expression levels of the marker proteins (protein levels) can be measured by any high-affinity binding assay, for example, an immune-/antibody-based assay such as an Enzyme Linked Immunosorbent Assay (ELISA). The high-affinity binding assay is not limited to antibodies but can also consist of peptides, small nucleic acids called aptamers, even small organic molecules, or others. It is also conceivable to combine both techniques to what is called immuno PCR.


For example, the expression levels may be determined using naturally occurring or chemically synthesized compounds capable of specifically binding to the respective marker protein or the transcripts (mRNA) of the marker genes. Such compounds may be selected from the group comprising a peptide, an antibody or a fragment thereof, an aptamer (peptide or oligonucleotide), and an oligonucleotide. The compound may be labelled with a detectable label, such as a luminescent, fluorescent or radioactive group. Alternatively or additionally, the compound may be labelled with an affinity tag, e.g., a biotin, avidin, streptavidin or His (e.g. hexa-His) tag. For high-throughput applications an array comprising the compound may be used, e.g., a microarray in the form of a biochip.


Most notably, and especially if a high-throughput assay shall be established, the expression level of the marker protein is measured by means of a microarray analysis (biochip technology).


The objective is also met by a combination of at least two marker proteins derived from marker genes, or at least two nucleic acid molecules comprising marker genes coding for marker proteins, said marker genes being selected from the group consisting of human NKG7, RGS1, CCL4, IFNG, IL12RB2, IL13RA1, KMO, FPR2, SLC27A2, and C31, for use in in vitro diagnostics. Preferably, a first marker gene is RGS1 and at least one second marker gene is selected from the group consisting of human NKG7, CCL4, IFNG, IL12RB2, IL13RA1, KMO, FPR2, SLC27A2, and C3.


As the NK cell markers CCL4 and NKG7 have by themselves already a high diagnostic potential (however, they are not expressed in the brain) and their genes have no overlap with RGS1 in terms of co-regulation, RGS1 in conjunction with an NK cell marker is advantageous to diagnose the subset with credibility, plausibility and specificity. Therefore, it is particularly advantageous if the first marker gene is RGS1 and the second marker gene is NKG7and/or CCL4.


The combination of markers according to the invention may further comprise at least one additional marker gene selected from the human equivalents of the genes listed in Table 1. The marker genes and proteins indicated in Table 1 also comprise processed proteins or splice variants, i.e. molecules derived from the original gene or protein indicated.


The combination according to invention can be advantageously used in an in vitro method of diagnosing the presence of a mental disorder in a human individual or the predisposition of the human individual to the mental disorder, wherein the mental disorder is associated with a dysfunctional DISC1 protein pathway or disturbed dopamine homeostasis.


The invention further concerns a kit for diagnosing the presence of a mental disorder in a human individual or the predisposition of the human individual to the mental disorder in vitro, wherein the mental disorder is associated with a dysfunctional DISC1 protein pathway or disturbed dopamine homeostasis, the kit comprising:

  • a) a set of oligonucleotide primers which are suitable to initiate amplification of the transcripts of at least two marker genes, each of which coding for at least one marker protein, in a Polymerase Chain Reaction and/or microarray, wherein said marker genes are selected from the group consisting of human NKG7, RGS1, CCL4, IFNG, IL12RB2, IL13RA1, KMO, FPR2, SLC27A2, and C3, and/or
    • at least two first antibodies or molecules, each of which specifically binding to a marker protein in a body tissue or fluid from the individual, wherein the marker proteins are derived from marker genes selected from the group consisting of human NKG7, RGS1, CCL4, IFNG, IL12RB2, IL13RA1, KMO, FPR2, SLC27A2, and C3;
  • b) at least two reporter probes capable of binding to complementary DNA (cDNA) derived from the transcripts, which are suitable to be detected in a quantitative reverse transcription Polymerase Chain Reaction (qRT-PCR), and/or
    • at least two labelled second antibodies, each of which specifically binding to one of the first antibodies or molecules, which are designed to be detected in a high-affinity binding assay (immune-/antibody-based assay such as Enzyme Linked Immunosorbent Assay (ELISA)); and optionally,
  • c) at least two reference samples.


For example, the kit according to the invention may comprise naturally occurring or chemically synthesized molecules capable of specifically binding or hybridizing to the marker proteins or the transcripts (mRNA) of the marker genes. Such molecules may be selected from the group comprising a peptide, an antibody or a fragment thereof, an aptamer (peptide or oligonucleotide), and an oligonucleotide (primer). Some molecules may be labelled with a detectable label, such as a luminescent, fluorescent or radioactive group.


In an advantageous embodiment of the invention said kit comprises at least one set of oligonucleotide primers selected from the group consisting of

  • a) a set of oligonucleotide primers comprising the nucleic acid sequences according to SEQ ID NO:1 and SEQ ID NO:2;
  • b) a set of oligonucleotide primers comprising the nucleic acid sequences according to SEQ ID NO:3 and SEQ ID NO:4
  • c) a set of oligonucleotide primers comprising the nucleic acid sequences according to SEQ ID NO:5 and SEQ ID NO:6;
  • d) a set of oligonucleotide primers comprising the nucleic acid sequences according to SEQ ID NO:7 and SEQ ID NO:8;
  • e) a set of oligonucleotide primers comprising the nucleic acid sequences according to SEQ ID NO:9 and SEQ ID NO:10;
  • f) a set of oligonucleotide primers comprising the nucleic acid sequences according to SEQ ID NO:11 and SEQ ID NO:12;
  • g) a set of oligonucleotide primers comprising the nucleic acid sequences according to SEQ ID NO:13 and SEQ ID NO:14
  • h) a set of oligonucleotide primers comprising the nucleic acid sequences according to SEQ ID NO:15 and SEQ ID NO:16;
  • i) a set of oligonucleotide primers comprising the nucleic acid sequences according to SEQ ID NO:17 and SEQ ID NO:18;
  • j) a set of oligonucleotide primers comprising the nucleic acid sequences according to SEQ ID NO:19 and SEQ ID NO:20;
  • k) a set of oligonucleotide primers comprising the nucleic acid sequences according to SEQ ID NO:21 and SEQ ID NO:22;
  • l) a set of oligonucleotide primers comprising the nucleic acid sequences according to SEQ ID NO:23 and SEQ ID NO:24;
  • m) a set of oligonucleotide primers comprising the nucleic acid sequences according to SEQ ID NO:25 and SEQ ID NO:26;
  • n) a set of oligonucleotide primers comprising the nucleic acid sequences according to SEQ ID NO:27 and SEQ ID NO:28;
  • o) a set of oligonucleotide primers comprising the nucleic acid sequences according to SEQ ID NO:29 and SEQ ID NO:30;
  • p) nucleic acid molecules, the polynucleotide sequence of which is at least 90%, preferably 95%, identical to the nucleotide sequence of a oligonucleotide primer of any of a) to o), and which is capable of binding to complementary DNA (cDNA) derived from the transcripts of a gene coding for at least one marker protein selected from the group consisting of the proteins listed in Table 1;
  • q) nucleic acid molecules, the complementary strand of which hybridizes to a nucleic acid molecule of any of a) to p) under stringent conditions;
  • r) nucleic acid molecules, the nucleotide sequence of which is complementary to the nucleotide sequence of a nucleic acid molecule of any of a) to q).


The primer sequences are shown in Table 2 (SEQ ID NOS refer to the primers for amplifying the human marker genes).


The invention further concerns a method for determining the response to at least one pharmaceutical compound able to correct a dysfunctional DISC1 protein pathway or disturbed dopamine homeostasis, wherein the expression levels of at least two marker genes are determined and compared according to steps a) and b) of the method according to claim 1, and wherein the measured expression levels indicate that the response to the pharmaceutical compound is positive if each aberrant expression level of said marker genes is normalized or at least improved. Accordingly, a method for monitoring the therapeutic efficacy of a pharmaceutical compound in an individual having a mental disorder is provided, comprising a comparison of a current expression level of the marker genes present in a body tissue or fluid sample of said individual after administration of the pharmaceutical compound with at least one sample taken earlier from the same individual, e.g., prior to commencement of the therapy, and/or from the same individual at an earlier stage of therapy. If the expression levels of the marker genes are changed by the application of the pharmaceutical compound in a way that it is at least partially normalized towards the respective average expression level of a healthy population (i.e. reference (standard) expression level), the therapeutic response to the pharmaceutical compound is positive. That is, a therapy is effective if the difference between the current expression levels and the threshold values is decreased in relation to the difference between the earlier expression levels and the threshold values. With this method according to the invention it is possible to analyse the efficacy of existing pharmaceutical compounds or those that are not developed using a transgenic animal as described below.


The protein pathology of a subset of sporadic mental disorders as outlined above can be modeled by means of a transgenic animal (e.g. by modestly overexpressing the non-mutant full length human DISC1 transgene: tgDISC1 rat) and presents a novel pharmacological target in mental illness drug discovery. The concept of “reverse translation” assumes the existence of subsets of mental disorders from the outset and thus starts marker search with a biologically defined subset rather than a mix of heterogeneous cases merely defined by clinical diagnosis. Genetic or protein pathology of patients/families can be modeled in animals and then markers can be identified in this animal model. Markers can be “reverse translated” to sporadic patients in order to define those biological subsets ante mortem, i.e. in live patients. Animal model, marker and patient subsets can then be paired in order to develop tailored therapies.


To this end, a nonhuman transgenic animal useful for providing organs, tissues, or cells, which is able to stably express a modified gene coding for human DISC1 protein, wherein the expression level of the modified gene is higher than that of the respective wild-type gene and thus results in the formation of aggregates of the DISC1 protein within the cells, said animal representing a subset of human subjects having at least one mental disorder, is provided for use in the identification and analysis of marker proteins or genes for diagnosing mental disorders in human individuals. The transgenic animal may be a rodent, preferably a rat.


The invention further includes a method for identifying and analysing marker proteins or genes for diagnosing mental disorders in human individuals using said transgenic animal.


A transgenic rat model modestly overexpressing the full-length DISC1 transgene (named “tgDISC1 rat”), shows phenotypes consistent with a significant role of DISC1 misassembly in a subset of sporadic mental disorders. The tgDISC1 rat displays mainly perinuclear DISC1 aggregates in neurons. Furthermore, the tgDISC1 rat shows a robust signature of behavioural phenotypes that includes amphetamine supersensitivity, hyperexploratory behaviour, rotarod deficits, as well as aberrant dopamine neuroanatomy and neurochemistry, all pointing to changes in dopamine (DA) neurotransmission.


Elevated cytosolic dopamine causes an increase in DISC1 multimerization, insolubility and complexing with the dopamine transporter, suggesting a physiological mechanism linking DISC1 assembly and dopamine homeostasis.


DISC1 protein pathology and its interaction with dopamine homeostasis is a novel cellular mechanism that is relevant for behavioural control and may have a role in mental disorders (Trossbach 2016). Neuroanatomical analysis revealed a reduced density of dopaminergic neurons in the substantia nigra and reduced dopaminergic fibres in the striatum of the transgenic rat. Parvalbumin-positive interneuron occurrence in the somatosensory cortex was shifted from layers II/III to V/VI, and the number of calbindin-positive interneurons was slightly decreased. Reduced corpus callosum thickness confirmed trend-level observations from in vivo MRI and voxel-wise tensor based morphometry. These neuroanatomical changes help explain functional phenotypes of this animal model, some of which resemble changes observed in human schizophrenia post mortem brain tissues. DISC1 overexpression or misassembly can account for a variety of seemingly unrelated morphological phenotypes and thus provides a possible explanation for findings observed in sporadic schizophrenia patients (Hamburg et al. 2016).


Accordingly, the tgDISC1 rat reflects neuropathological features of a subset of sporadic cases with CMI and has behavioral (amphetamine sensitization) and biochemical (D2R high switch) features very similar to human patients with schizophrenia, and therefore exhibits high face validity. On a molecular mechanistic level, DISC1 missassembly seems to modulate dopamine homeostasis so that the tgDISC1 rat is a useful model for a subset of sporadic CMI, advancing biological diagnostics and therapy. Further, DISC1opathies define a biology-based category of human mental disorders with involvement of the dopamine system that can be modeled in animals, i.e. in the tgDISC1 rat. The tgDISC1 rat represents a subset of patients with schizophrenia (or other mental illnesses), termed “DISC1opathies”.


It is conceivable that human induced pluripotent stem (iPS) cells modestly overexpressing a similar DISC1 transgene, and differentiated to various cells or brain organoids, including human PBMC subpopulations, might also be used for the purpose of identifying possible markers and patient-tailored therapies but with the shortcoming that these cell systems are not amenable to behavioural testing paradigms. However, for specific applications, the invention provides at least one human induced pluripotent stem (iPS) cell which is able to stably express a modified gene coding for human DISC1 protein, wherein the expression level of the modified gene is higher than that of the respective wild-type gene and thus results in the formation of aggregates of the DISC1 protein within the cell. Such iPS cell can also be used for in the identification and analysis of marker proteins or genes for diagnosing mental disorders in human individuals. The invention further includes a method for identifying and analysing marker proteins or genes for diagnosing mental disorders in human individuals using such iPS cells.


With the concept of reverse translation, a distinct marker set can be identified, that may not be complete but that is sufficient to allow fairly specific blood diagnostics of DISC1opathies. The blood test may be used to identify patients that may profit from (future) curative pharmacotherapies also effective in the tgDISC1 rat. However, they may also profit from existing merely symptomatic pharmacotherapies targeting neurotransmitter systems by indicating which patient subsets are likely to respond to a dopamine homeostasis-modifying drug. For example, a patient that has been tested positive for a DISC1opathy may receive one particular dopamine-homeostasis reinstating drug with priority rather than testing various drugs based on clinical guesses as is current clinical practice.


Curative drugs are defined as drugs that target the biological cause, for example DISC1 protein pathology, of a mental disorder whereas symptomatic drugs are drugs that target one downstream consequence of the biological causes, for example aberrant dopamine homeostasis. Curative drugs are advantageous because they eventually eliminate all downstream aberrances, rather than only one.


The invention further relates to a method for determining the therapeutic effect of a potentially curative pharmaceutical compound on a mental disorder, or a predisposition of a human individual to the mental disorder, associated with a dysfunctional DISC1 protein pathway or disturbed dopamine homeostasis, wherein said pharmaceutical compound is administered to a transgenic animal (the transgenic animal being used as an indicator for a successful or unsuccessful therapy of the mental disorder), and wherein it is indicated that the therapeutic effect is positive if aberrant expression levels of at least two marker genes selected from the group consisting of human NKG7, RGS1, CCL4, IFNG, IL12RB2, IL13RA1, KMO, FPR2, SLC27A2, and C3 are normalized in said transgenic animal after administration of said pharmaceutical compound. The invention then allows to test a patient for said markers and assign a curative pharmacotherapy to that patient.


In an advantageous embodiment of the invention the transgenic animal is a nonhuman transgenic animal useful for providing organs, tissues, or cells, which is able to stably express a modified gene coding for human DISC1 protein, wherein the expression level of the modified gene is higher than that of the respective wild-type gene and thus results in the formation of aggregates of the DISC1 protein within the cells, said animal representing a subset of human subjects having at least one mental disorder. As explained in detail above, such animal represents a subset of patients with schizophrenia (or other mental illnesses), termed “DISC1opathies”.


It is possible that an aberrant DISC1 pathway is also encountered in human individuals that are not considered clinically sick. This may be due to a variety of causes also termed resilience factors. These individuals, however, may reveal subtle cognitive impairments upon closer inspection that may improve with suitable drugs which would then be called cognitive enhancement rather than pharmacotherapy. That is, a potential therapy for clinically sick patients might also be used as cognitive enhancer for healthy individuals.


The term “marker gene” as used herein refers to a distinctive gene coding for a distinctive protein or peptide (herein referred to as “marker protein”) suitable to be used as an indicator of a biological, biochemical, or physiological process, event, or condition within a body, tissue, or cell. For example, a marker gene can be used to detect at least one biological, biochemical, or physiological symptom of a disease by detection of its transcript or protein. In this context, “distinctive” means that the marker gene or marker protein is accessible to be detected via a physical, physico-chemical, or electro-physical detection method, either directly or indirectly by means of at least one detectable (labelled) compound or composition. The marker gene can be detected either by detecting the marker protein or by detecting the transcripts (mRNA, or indirectly: cDNA) of the marker gene. If specific marker proteins are named herein, all derivatives thereof comprising processed proteins or splice variants, i.e. molecules derived from the original gene or protein indicated, shall be included.


The term “marker” as used herein includes both the marker gene and the marker protein.


The term “expression level” (or “expression level of the marker gene”) as used herein refers to the amount of transcript (mRNA) of a gene coding for a specific peptide or protein (transcript level), or the amount of specific peptide or protein derived from this gene (protein level), within a body, tissue, cell, or fluid sample. The expression level can be measured, for example, by quantitative determination of the amount of either mRNA (or cDNA) or translated protein within a sample.


The term “aberrant expression level” as used herein refers to an abnormal expression level of a marker gene, which significantly differs from the average expression level of the same marker gene in a healthy population and is involved in the clinical manifestation of a disease and/or represents a symptom of a disease, e.g., a mental disorder.


The invention is further exemplarily described in detail with reference to the figures.





BRIEF DESCRIPTION OF THE FIGURES


FIG. 1 shows two alternative, complementary and selective (incomplete) depictions of the DISC1 pathway, demonstrating that the DISC1 protein interacts with many proteins and signaling pathways that have independently been described for mental illness or other chronic brain disease conditions.



FIG. 2 shows bar diagrams representing an independent validation of a selection of markers from Table 1 in the tgDISC1 rat (TG, gray) vs. non-transgenic littermates (LM, white) using quantitative polymerase chain reaction (qPCR). Marker names abbreviated, for full name, see Table 1.



FIG. 3 shows bar diagrams representing a screening of a selection of markers from Table 1 in a population of schizophrenia patients vs. controls (n=20 for each group); cohort of patients with schizophrenia (SCZ, gray) vs. healthy controls (CTRL, white). Marker names abbreviated, for full name, see Table 1.



FIG. 4 shows graphical representations demonstrating the correlation of different markers in the tgDISC1 rat and schizophrenia patients. A. Correlation matrix of markers in the rat (left) and human (right). B. Selective depiction of single correlations appearing similar in the transgenic tgDISC1 rat (TG) vs. non-transgenic littermates (LM), and schizophrenia patients (SCZ) vs. healthy controls (CTRL).



FIGS. 5a and 5b show tables of a Spearman correlation (non-parametric) of human markers (see Table 1) demonstrating that single correlations either exist between patients and controls, or only for patients or controls demonstrating the disruption or pathological creation and stabilization of regulated networks of markers (all data analyzed without outliers).



FIG. 6 shows a bar diagram demonstrating detection specificity and sensitivity related to the clinical diagnosis of schizophrenia (SCZ, dark grey; healthy controls (HC), light grey) when a selection of single markers from Table 1 is investigated. The threshold was defined at being below 50% of the average of the healthy control group.



FIG. 7 shows a bar diagram demonstrating detection specificity and sensitivity related to the clinical diagnosis of schizophrenia (SCZ, dark grey; healthy controls (HC), light grey) when a selection of a combination of two or three markers from Table 1 is investigated. The threshold was defined at being below 50% of the average of the healthy control group.



FIG. 8 shows a graph representing normalized expression levels (brain) of RGS1 transcripts in controls (CTRL), schizophrenia (SCZ) and Bipolar Disorder (BP) samples.





DESCRIPTION OF EXEMPLARY AND PREFERRED EMBODIMENTS OF THE INVENTION
Subjects and Classifications

Control subjects and patients diagnosed with schizophrenia were part of a clinical study as described by Warbrick et al. (2011) and Trossbach et al. (2014).


Animals

Animal experiments were executed in conformity with the German Animal Protection Law and were authorized by local authorities (LANUV NRW, Recklinghausen, Germany). Experiments were performed with transgenic Sprague Dawley rats overexpressing full-length, non-mutant DISC1 carrying the polymorphisms L607F (rs6675281) and S704C (rs821616) (tgDISC1 rat; Trossbach et al., 2016) and non-transgenic littermates. Male tgDISC1 and control rats were bred at the Heinrich Heine University D0sseldorf, Animal Facility, Germany. Animals were housed three animals per cage under standard laboratory conditions with lights on from 0700 hours to 1900 hours and with water and food provided ad libitum. Blood extraction and preparation of lymphocytes was performed with adult tgDISC1 rats and littermate controls at the age of 8-9 months.


Preparation of Lymphocytes from Blood


Anaesthetized rats underwent a heart puncture to harvest a minimum of 8 mL of blood. Rat lymphocytes were prepared with the Ficoll-Paque Premium 1.084 solution (GE Healthcare, Little Chalfont, United Kingdom) according to manufacturer's instructions. Preparation of human lymphocytes was performed with Ficoll-Paque Plus (GE Healthcare, Little Chalfont, UK) as described by Trossbach et al. (2014). Lymphocyte samples were snap-frozen in liquid nitrogen and stored at −80° C. until further processing.


Preparation of RNA and cDNA


RNA of rat and human lymphocytes was prepared utilizing the RNeasy Mini Kit according to manufacturer's guidelines. Residual genomic DNA was digested on column by the RNase-free DNasel Set (both Qiagen, Hilden, Germany). RNA was diluted to a concentration of 100 ng/μL and 1 μg was used as input for the production of cDNA with the RevertAid First Strand Synthesis Kit in a total of 20 μL utilizing the random hexamer primers provided by the kit (Thermo Fisher Scientific, Waltham, Mass., USA). The resulting cDNA was diluted 1:50, 1:25 or 1:50 dependent on PCR results as indicated in Table 1 and 5 μL were used as template input.


Gene Expression Profiling

Total RNA preparations were checked for RNA integrity by Agilent 2100 Bioanalyzer quality control. All samples in this study showed high quality RNA Integrity Numbers (RIN>9). RNA was further analysed by photometric Nanodrop measurement and quantified by fluorometric Qubit RNA assays (Life Technologies). Synthesis of biotin labeled cDNA was performed on ten replicates of each experimental group (DISC1 transgenic (TG) rats and littermate (LM) controls, respectively) according to the manufacturers' protocol (WT Plus Reagent Kit; Affymetrix, Inc). Briefly, 100 ng of total RNA were converted to cDNA. After amplification by in vitro transcription and 2nd cycle synthesis, cDNA was fragmented and biotin labeled by terminal transferase. Finally, end labeled cDNA was hybridized to Affymetrix Rat Gene 2.0 ST Gene Expression Microarrays for 16h at 45° C., stained by strepatavidin/phycoerythrin conjugate and scanned as described in the manufacturers' protocol. Three samples (2×TG, 1×LM) did not pass hybridization quality control, two additional samples (3×TG, 2×LM) had to be excluded from further analyses because of abnormal ventricle volume.


Data analyses on 12 Affymetrix CEL files were conducted with GeneSpring GX software (Vers. 12.5; Agilent Technologies). Probes within each probeset were summarized by GeneSprings' ExonRMA16 algorithm after quantile normalization of probe level signal intensities across all samples to reduce inter-array variability (Bolstad et al., 2003). Input data pre-processing was concluded by baseline transformation to the median of all samples. To further improve signal-to-noise ratio, a given probeset had to be expressed above background (i.e. fluorescence signal of a probeset was detected within the 20th and 100th percentiles of the raw signal distribution of a given array) in all replicates in at least one of two, or both conditions to be subsequently analysed in pairwise comparison. Differential gene expression was statistically determined by moderated T-test. The significance threshold was set to p=0.01.


Quantitative Expression Analysis

For the verification of differential expression target primers were tested by PCR using the HotStarTaq (Qiagen, Hilden, Germany). Primer sequences, dilutions and PCR supplements are depicted in Table 2. Effective primers were used for quantitative Real Time PCR (qPCR) with the StepOnePlus Real-Time PCR System (Applied Biosystems, Carlsbad, Calif., USA) and the Platinum SYBR Green qPCR SuperMix-UDG (Invitrogen, Carlsbad, Calif., USA) in MicroAMP Fast Optical 96-Well Reaction Plates (Applied Biosystems, Carlsbad, Calif., USA). Depending on the target, 5% Factor Q solution (Qiagen, Hilden, Germany) was added to the mix. QPCR conditions: 10 min at 95° C., 40 cycles of 15 s at 95° C. and 60° C. for 1 min. The resulting data were processed with the corresponding StepOne Software v2.3 (Thermo Fisher Scientific, Waltham, Mass., USA). The expression of the respective target was normalized to the expression level of the housekeeping gene Actin (rat) or ARF1 (human), as well as against a rat or human control cDNA per plate to minimize variances between runs.


As shown in FIG. 2, the expression level (relative mRNA expression) of each of the marker genes Ifng, Ccl4, Il13ra1, Il12rb2, C3, and Slc27a2 from Table 1 is significantly decreased in the tgDISC1 rat (TG, gray) in relation to non-transgenic littermates (LM, white). This result indicates that the decreased expression level of these marker genes observed in the microarray analysis (Table 1) can be repeated by an independent detection method (quantitative polymerase chain reaction; qPCR). Marker genes Ifng, Ccl4, Il13ra1, Il12rb2, C3, and Slc27a2 are all downregulated, i.e. the transcript level is decreased relative to the reference (standard) level of the “healthy” littermates. That is, the lower expression level of each tested marker gene in the transgenic rat relative to the expression level of the respective marker gene in the non-transgenic control is indicative of dysfunctional DISC1 protein pathway or disturbed dopamine homeostasis. The altered expression level can thus be deemed to be indicative to neuropathological and biochemical features very similar to human patients with schizophrenia.



FIG. 3 shows a screening of marker genes IFNG, CCL4, IL13RA1, IL12RB2, RGS1, C3, and SLC27A2 from Table 1 in a population of schizophrenia patients (SCZ, gray) vs. healthy controls (CTRL, white), demonstrating that the decreased expression levels (relative mRNA expression) of the same markers in the tgDISC1 model are also observed in a cohort of patients with schizophrenia. Marker genes IFNG, CCL4, IL13RA1, IL12RB2, RGS1, C3, and SLC27A2 are all downregulated, i.e. the transcript level is decreased relative to the reference (standard) level of the healthy controls. Accordingly, the altered expression level can be deemed to be indicative to schizophrenia in human individuals.



FIG. 4 shows correlations of different markers in tgDISC1 rats and human individuals, demonstrating similarity between the rat system and the human system. The alterations of the expression levels of the tested markers relative to the respective reference expression levels are similar in the tgDISC1 rat and schizophrenia patients. Thus, transfer of the principles and mechanisms observed in the rat system to the human system is reasonable.



FIGS. 5a and 5b show correlation tables of human markers demonstrating that single correlations either exist between patients and controls, or only for patients or controls. The cross-correlations between single markers show that disease can either disrupt existing correlating networks or stabilize new (pathological) ones and demonstrates that the identified markers according to Table 1 are functionally interconnected.



FIGS. 6 and 7 demonstrate the detection specificity and sensitivity related to the clinical diagnosis of schizophrenia when a selection of single markers from Table 1 (RGS1, CCL4, and NKG7; FIG. 6) or a selection of a combination of two or three markers from Table 1 (RGS1+CCL4 and/or NKG7, and CCL4+NKG7; FIG. 7) is investigated. Basically it is demonstrated that specificity of the method according to the invention is very high while sensitivity is rather low. However, in the method according to the invention specificity is more important than sensitivity since the method is provided for a sub-group of patients only and thus low sensitivity relating to the all-comprising clinical diagnosis is expected and can therefore be neglected. FIG. 7 shows that the combination of two or more markers can significantly increase specificity of the method according to the invention, cf. marker gene RGS1 (alone: 88%=>+CCL4 and/or NKG7: 94%/97%).



FIG. 8 shows that, surprisingly, RGS1 expression in brain is clearly decreased in patients (Schizophrenia and Bipolar Disorder) compared to healthy controls. RGS1 is correlated to cognitive endophenotypes of patients and seems to be the best marker for diagnosing related diseases. RGS1 is significantly correlated to attention and memory in the Digital Symbol Test (DSST) indicating high clinical relevance of this marker to measurable cognitive deficiencies (data not shown). The decrease in RGS1 expression is not due to a decreased number of macrophages where it is expressed and which would correspond to the cell lineage where microglia is also derived from, the only cell type of the brain expressing RGS1 (data not shown). RGS1, preferably in conjunction with an NK cell marker, therefore seems to be advantageous to diagnose the patient subsets with credibility, plausibility and specificity.


Accordingly, RGS1 seems to crystallize as the most important marker compared to the other markers listed in Table 1. However, RGS1 expression levels seem also changed in diseases like melanoma, multiple sclerosis or others, so that at least a second marker can be beneficial. For example, the NK cell markers NKG7 or CCL4 may be of particular importance (but interchangeable). In the rat NKG7 and CCL4 indicate a decrease in expression levels, in humans it is not clear whether they are decreased due to a decrease in NK cell number, a decrease in expression per NK cell, or both. In summary, diagnostics could be prioritized to RGS1 and one or two NK cell markers such as NKG7 and CCL4, cf. FIG. 7. In patients, NK cell markers seem decreased due to a decrease in NK cell numbers, but a simultaneous decrease in expression levels cannot be excluded (data not shown).


Non-Patent Literature



  • 1. Bolstad et al. (2003): A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics, 19, 2, 185-193, 2003.

  • 2. Chan et al. (2015): “Development of a blood-based molecular biomarker test for identification of schizophrenia before disease onset.” Translational Psychiatry (2015) 5, e601; doi:10.1038/tp.2015.91; published online 14 Jul. 2015.

  • 3. Dean (2011): “Dissecting the Syndrome of Schizophrenia: Progress toward Clinically Useful Biomarkers.” Schizophrenia Research and Treatment Volume 2011, Article ID 614730, 10 pages, doi:10.1155/2011/614730.

  • 4. Hamburg et al. (2016): “Simultaneous effects on parvalbumin-interneuron and dopaminergic system development in a transgenic rat model for sporadic schizophrenia.” Scientific Reports 6:34946 DOI: 10.1038/srep34946.

  • 5. Hennah & Porteous (2009): “The DISC1 pathway modulates expression of neurodevelopmental, synaptogenic and sensory perception genes.” PLoS ONE 2009; 4(3):e4906

  • 6. Howes & Kapur (2009): “The dopamine hypothesis of schizophrenia: version III—the final common pathway.” Schizophr Bull. 2009 May; 35(3):549-62. doi: 10.1093/schbul/sbp006. Epub 2009 Mar. 26.

  • 7. Korth (2009): “DISCopathies: brain disorders related to DISC1 dysfunction.” Rev Neurosci 2009; 20(5-6):321-30

  • 8. Korth (2012): “Aggregated proteins in schizophrenia and other chronic mental diseases: DISC1opathies.” Prion 6(2):134-41.

  • 9. Korth (2012): “Aggregated proteins in schizophrenia and other chronic mental diseases.” Prion 6:2, 1-8. April/May/June 2012.

  • 10. Soares et al. (2011): “DISC1: Structure, Function, and Therapeutic Potential for Major Mental Illness.” ACS Chem Neurosci. 2011 Nov. 16; 2(11):609-632. Epub 2011 Aug. 5.

  • 11. Trossbach et al. (2014): “Peripheral DISC1 protein levels as a trait marker for schizophrenia and modulating effects of nicotine.” Behav Brain Res 275C: 176-182.

  • 12. Trossbach et al. (2016): “Misassembly of full-length Disrupted-in-Schizophrenia 1 protein is linked to altered dopamine homeostasis and behavioral deficits.” Molecular Psychiatry (2016), 1-12.

  • 13. Warbrick et al. (2011): “Direction and magnitude of nicotine effects on the fMRI BOLD response are related to nicotine effects on behavioral performance.” Psychopharmacology (Berl) 215(2): 333-344.















TABLE 1












TG versus LM





















P-



Gene symbol [rat]
Gene description
Genbank
Refseq
Change
FC
value

















1
Rgs1
regulatorofG-proteinsignaling1
BC098681
NM_019336

2.03
0.006


2
Ccl4
chemokine(C-Cmotif)ligand4
U06434
NM_053858

1.67
0.000


3
Fpr2|Fpr2|
formylpeptidereceptor2|formylpeptide-

XM_001073508/ text missing or illegible when filed

1.65
0.005




receptor2-like







4
C3
complementcomponent3

NM_016994

1.63
0.004


5
Nkg7
naturalkillercellgroup7sequence
AF082535
NM_133540

1.60
0.000


6
Il12rb2
interleukin12receptor, beta2

NM_001191750

1.59
0.009


7
Serpinb1a
serine(orcysteine)proteinaseinhibitor,
BC098686
NM_001031642

1.52
0.007




cladeB, member1a







8
Ly49si3

AY653730
NM_001009919

1.51
0.006


9
Pla2g7
phospholipaseA2, groupVII(platelet-
BC088457
NM_001009353

1.48
0.006




activatingfactoracetylhydrolase, plasma







10
Hist2h2aa3
similartoH2Ahistonefamily, memberO|

XM_002726027

1.47
0.000




histonecluster2, H2aa3







11
Slc27a2
solutecarrierfamily27(fattyacid-
D85100
NM_031736

1.46
0.009




transporter), member2







12
RGD1559149
simto60SribosomalproteinL7a



1.46
0.003


13
Il13ra1
interleukin13receptor, alpha1
BC093615
NM_145789

1.45
0.007


14
Cyp4f18
cytochromeP450, family4, subfamilyf,
BC101918
NM_001033686

1.44
0.004




polypeptide18







15
Rpl10
ribosomalproteinL10
BC058467


1.41
0.006


16
Olr428
olfactoryreceptor428

NM_001000394

1.41
0.009


17
Tmem62
Rattus norvegicus TL0ABA35YN06



1.39
0.002




mRNA sequence.







18
Acer3
PREDICTED: Rattus norvegicus alkaline



1.38
0.003




ceramidase 3 (Acer3), mRNA







19
Ifng
interferongamma
AF010466
NM_138880

1.38
0.001


20
RGD1561778
similartodendriticcell-derived-

NM_001168284

1.38
0.006




immunoglobulin(Ig)-like-









receptor1, DlgR1-mouse







21
Scimp
SLPadaptorandCSKinteracting

XM_003752341

1.37
0.002




membraneprotein







22
Tspan31
tetraspanin31
BC086452
NM_001008378

1.36
0.004


23
Tmem223
transmembraneprotein223

NM_001191104

1.35
0.005


24
Klrb1b|Klrb1a
killercelllectin-like-
U56936|DQ157010
NM_173292///N text missing or illegible when filed

1.35
0.007




receptorsubfamilyBmember1B|1A







25
Cst7
cystatinF(leukocystatin)

NM_001106523

1.35
0.002


26
Krtap3-3|Krtap3-3|1
keratinassociatedprotein3-

XM_002724543

1.35
0.002




3|keratinassociatedprotein3-3-like1







27
Retnlg
resistin-likegamma

NM_181625

1.35
0.002


28
Cd24
CD24molecule
BC064439
NM_012752

1.34
0.008


29
Prdm1
PRdomaincontaining1, withZNFdomain

NM_001107639

1.34
0.001


30
Pak1
p21protein(Cdc42/Rac)-
U49953
NM_017198

1.34
0.007




activatedkinase1







31
Ptms
parathymosin
BC167753
NM_031975

1.34
0.007


32
RGD1563145
similarto60SribosomalproteinL13

XM_001068099

1.34
0.002


33
Kmo
kynurenine3-
AF056031
NM_021593

1.34
0.004




monooxygenase(kynurenine3-









hydroxylase)







34
Tob1
transducerofErbB-2.1
AF349723
NM_133317

1.33
0.002


35
Il36b
interleukin36, beta

NM_001108570

1.33
0.007


36
Clic5
chlorideintracellularchannel5
AF323174
NM_053603

1.33
0.008


37
Chi3l1
chitinase3-like1(cartilageglycoprotein-
BC091365
NM_053560

1.32
0.006




39)







38
Ptp4a1
proteintyrosinephosphatasetypeIVA,
BC097307
NM_031579

1.32
0.000




member1







39
Elovl1
ELOVLfattyacidelongase1



1.31
0.008


40
Tyrobp
Tyroproteintyrosinekinasebinding-
AY247021
NM_212525

1.31
0.001




protein







41
Itm2a
integralmembraneprotein2A
BC099174
NM_001025712

1.30
0.002


42
Klrg1
killercelllectin-
X79812
NM_031649

1.30
0.005




likereceptorsubfamilyG, member1







43
Srgap3
SLIT-

NM_001191975

1.30
0.004




ROBORhoGTPaseactivatingprotein3







44
Tlr5
toll-likereceptor5
FJ750588
NM_001145828

1.30
0.007


45
Slamf8
SLAMfamilymember8

NM_001105973

1.30
0.002


46
Olr1531
olfactoryreceptor1531

NM_001001102

1.30
0.004


47
Clec4a2
C-typelectindomainfamily4, memberA2
AY494061
NM_001005880

1.30
0.009


48
Stard3
StAR-relatedlipidtransfer



1.30
0.000




(START)domaincontaining3







49
Hist1h2ac
histonecluster1, H2ac|H2ae-

XM_003751712

1.29
0.001




like|H2ai|H2an|H4m







50
Eno3
enolase3, beta, muscle
BC083566
NM_012949

1.29
0.004


51
Kif15
kinesinfamilymember15
AY291581
NM_181635

1.29
0.007


52
Pmaip1
phorbol-12-myristate-13-acetate-
AY788892
NM_001008385

1.29
0.002




inducedprotein1







53
Ptp4a1
proteintyrosinephosphatasetypeIVA,

NM_031579

1.29
0.001




member1







54
Sod1
superoxidedismutase1, soluble
FQ220715
NM_017050

1.29
0.004


55
Cd55

BC061869
NM_022269

1.29
0.002


56
Ly6c
Ly6-Cantigen

NM_020103

1.29
0.009


57
Tuba3a|Tuba3b
tubulin, alpha3A|tubulin, alpha3B
BC079395
NM_001040008

1.28
0.001


58
LOC252890
Z39smallnucleolarRNA

NR_002705

1.28
0.004


59
Sytl3
synaptotagmin-like3
BC166706
NM_001127560

1.28
0.007


60
Ltbr
lymphotoxinbetareceptor
BC085880
NM_001008315

1.28
0.003




(TNFRsuperfamily, member3)







61
Zfp580
zincfingerprotein580

XM_218196///X text missing or illegible when filed

1.28
0.000


62
Try10|Prss2
trypsin10|similartoAnionictrypsinII

NM_001004097

1.28
0.007




precursor(PretrypsinogenII)|protease,









serine, 2







63
Osgin2
oxidativestressinducedgrowthinhibitor

XM_232798

1.28
0.003




familymember2







64
H2afx
H2Ahistonefamily, memberX

NM_001109291

1.28
0.007


65
Cwc15
CWC15spliceosome-associatedprotein
BC091396
NM_001024987

1.28
0.003




homolog(S. cerevisiae)







66
LOC690097|RGD156130
similartoimmunoreceptorLy49si3



1.27
0.002


67
Kdelr1
KDEL(Lys-Asp-Glu-
BC092600
NM_001017385

1.27
0.008




Leu)endoplasmicreticulum









proteinretentionreceptor1







68
Ifngr1
interferongammareceptor1
AF201901
NM_053783

1.27
0.003


69
Abcg3l1
ATP-bindingcassette,
BC098896
NM_001004076

1.27
0.005




subfamilyG(WHITE), member3-like1







70
Cyba
cytochromeb-245, alphapolypeptide



1.27
0.005


71
Nampt
nicotinamidephosphoribosyltransferase
BC085681
NM_177928

1.27
0.003


72
Nqo1
NAD(P)Hdehydrogenase, quinone1
BC083542
NM_017000

1.27
0.008


73
Tmem50b
transmembraneprotein50B
BC091349
NM_001025014

1.27
0.006


74
Cblb
Cas-Br-M(murine)ecotropicretroviral
AB071283
NM_133601

1.27
0.007




transformingsequenceb







75
Hopx
HOPhomeobox
AF492685
NM_133621

1.26
0.006


76
Sh2d2a
SH2domaincontaining2A
BC088087
NM_207605

1.26
0.005


77
RGD1566373
similartolargesubunitribosomal

XM_001080446

1.26
0.003




proteinL36a







78
Pdha1
pyruvatedehydrogenase(lipoamide)
BC098897
NM_001004072

1.26
0.007




alpha1







79
Napsa
napsinAasparticpeptidase
BC078790
NM_031670

1.26
0.006


80
Lcmt2
leucinecarboxylmethyltransferase2
BC083783
NM_001011956

1.26
0.000


81
Phgdh
phosphoglyceratedehydrogenase
BC086327
NM_031620

1.26
0.009


82
Lamtor2
lateendosomal/lysosomaladaptor, MAP

NM_001106441

1.25
0.004




KandMTORactivator2







83
LOC681290
T-cellreceptorgammachainCregion5/10-
S75437


1.25
0.005




13-like







84
Pppde2
PPPDEpeptidasedomaincontaining2
BC098857
NM_001025703

1.25
0.009


85
Pik3r5
phosphoinositide-3-kinase,

NM_001191923

1.24
0.004




regulatorysubunit5







86
Dse
dermatansulfateepimerase
BC168891
NM_001108933

1.24
0.009


87
Csf1
colonystimulatingfactor1(macrophage)
BC074007
NM_023981

1.24
0.009


88
St3gal4
ST3beta-galactosidealpha-2,3-
BC089057
NM_203337

1.24
0.007




sialyltransferase4







89
Gyg1
glycogenin1
BC070944
NM_031043

1.24
0.010


90
Ager
advancedglycosylationendproduct-
L33413
NM_053336

1.24
0.001




specificreceptor







91
Cadm3
celladhesionmolecule3
BC161811
NM_001047103

1.24
0.007


92
Tect2|Atp6v0a2
tectonic2|ATPase, H+transporting,



1.24
0.001




lysosomalV0subunitA2







93
Syt15
synaptotagminXV
BC084685
NM_181632

1.23
0.004


94
Bcat1
branchedchainaminoacid
BC087710
NM_017253

1.23
0.008




transaminase1, cytosolic







95
Hcst
hematopoieticcellsignaltransducer
AY247020
NM_001005900

1.23
0.003


96
Slc35f5
solutecarrierfamily35, memberF5

NM_001105950

1.22
0.006


97
Olr1071|Olr1070
olfactoryreceptor1071|olfactory

NM_001000063

1.22
0.005




receptor1070







98
Tm7sf4
transmembrane7superfamilymember4



1.22
0.006


99
Lst1
leukocytespecifictranscript1
AF208230
NM_022634

1.22
0.004


100
Ankrd57
ankyrinrepeatdomain57

NM_001109364

1.21
0.002


101
Rora
RAR-relatedorphanreceptorA

NM_001106834

1.21
0.008


102
Pnpla2
patatin-likephospholipasedomain

NM_001108509

1.21
0.001




containing2







103
Tmem14c
transmembraneprotein14C

NM_001135169

1.21
0.007


104
Pspn
persephin
AF040961
NM_013014

1.21
0.005


105
Tlr2
toll-likereceptor2
AY151255
NM_198769

1.20
0.006


106
Zfp418
zincfingerprotein418|similarto
FQ212491
NM_001191620

1.20
0.008




zincfingerprotein418







107
Atp6v1g3
ATPase, H+transporting, lysosomalV1

NM_001105991

1.20
0.003




subunitG3







108
LOC680549
similartoPbx/knotted1homeobox2
FQ221048


1.20
0.010


109
LOC100363043
chromosome14openreadingframe119-

XM_002725161

1.20
0.006




like







110
LOC100364650
rCG38872-like



1.20
0.009


111
Pgm2
phosphoglucomutase2
BC160893
NM_001106007

1.19
0.005


112
Mospd3
motilespermdomaincontaining3
BC099230
NM_001025629

1.19
0.004


113
Tmcc1
transmembraneandcoiled-



1.19
0.008




coildomainfamily1







114
Manf
mesencephalicastrocyte-derived
BC166980
NM_001108183

1.19
0.000




neurotrophicfactor







115
Tubgcp6
tubulin, gammacomplexassociated

NM_001108748

1.19
0.001




protein6







116
Cldn24
claudin24

NM_001110144

1.19
0.007


117
Ccdc90b
coiled-coildomaincontaining90B
BC097480
NM_001024885

1.19
0.001


118
Chic2
cysteine-richhydrophobicdomain2

NM_001105736

1.19
0.010


119
Ndufs5
NADHdehydrogenase(ubiquinone)
BC168721
NM_001030052

1.18
0.002




Fe-Sprotein5







120
Etv6
etsvariant6
BC105773
NM_001037353

1.18
0.004


121
Banp
Btg3associatednuclearprotein
BC160844
NM_001106191

1.18
0.007


122
RGD1560608
similarnovelprotein

NM_001109280

1.18
0.008


123
Npm3
nucleophosmin/nucleoplasmin, 3

XM_577868

1.18
0.005


124
Olr240
olfactoryreceptor240

XM_001076482

1.18
0.000


125
Ptgdr2
prostaglandinD2receptor2
AY228550
NM_001012070

1.18
0.003


126
Nkd2
nakedcuticlehomolog2(Drosophila)

NM_001107454

1.18
0.008


127
LOC500959
triosephosphateisomerase
AY461585
NM_001033072

1.18
0.001


128
Edem2
ERdegradationenhancer, mannosidase
BC079029
NM_001004230

1.18
0.005




alpha-like2







129
Fgf4
fibroblastgrowthfactor4
AB079673|AF260830
NM_053809

1.18
0.003


130
Polk
polymerase(DNAdirected)kappa
BC166778
NM_138516

1.18
0.001


131
Hus1b
HUS1checkpointhomologb(S. pombe)

NM_001134846

1.18
0.005


132
Ndufb4
NADHdehydrogenase(ubiquinone)1beta
FQ217067
NM_001037338

1.18
0.006




subcomplex4







133
Arhgap9
RhoGTPaseactivatingprotein9
BC107938
NM_001080789/

1.17
0.002


134
Crhr1
corticotropinreleasinghormone
L25438|EU012438|E text missing or illegible when filed
NM_030999

1.17
0.001




receptor1







135
LOC100366245
rCG30616-like



1.17
0.004


136
RGD1565819|Zfp831
similartoC20orf174|zincfingerprotein831

NM_001171096

1.17
0.004


137
Defa10
defensinalpha10
AY623754
NM_001033074

1.17
0.003


138
RGD1565819|Zfp831
similartoC20orf174|zincfingerprotein831

NM_001171096

1.17
0.005


139
Pvrl4
poliovirusreceptor-related4
FQ228642
NM_001109076

1.17
0.007


140
Rapsn
receptor-

NM_001108584

1.17
0.001




associatedproteinofthesynapse







141
Opa3
opticatrophy3(human)
BC168945


1.17
0.007


142
Pnma1
paraneoplasticantigenMA1
AF335505
NM_130820

1.17
0.008


143
Olr1471|LOC100360028
olfactoryreceptor1471|olfactory

NM_001000722

1.17
0.009




receptorOlr1471-like







144
Arrdc1
arrestindomaincontaining1
BC158871
NM_001100770

1.17
0.002


145
Erp29
endoplasmicreticulumprotein29
BC091129
NM_053961

1.16
0.006


146
Zcrb1
zincfingerCCHC-
BC099747
NM_001034940

1.16
0.009




typeandRNAbindingmotif1







147
LOC100364342|Chchd4
coiled-coil-helix-coiled-coil-



1.16
0.002




helixdomain containing4-like







148
RGD1559979
similartoAPH1Bhomolog(C. elegans)

XM_003754686/ text missing or illegible when filed

1.16
0.004


149
Mir3558
microRNAmir-3558

NR_037340

1.16
0.003


150
Tulp1
tubbylikeprotein1

NM_001107642

1.16
0.005


151
LOC100360334
forminhomology2domaincontaining3-
BC090338


1.16
0.003




like







152
Fam158a
familywithsequencesimiarity158,
BC086432


1.16
0.004




memberA







153
Arl6ip6
ADP-ribosylation-likefactor6interacting
BC079329
NM_001024310

1.16
0.008




protein6







154
Sdhb
succinatedehydrogenasecomplex,
BC158620
NM_001100539

1.16
0.008




subunitB, ironsulfur(Ip)







155
Srms
src-relatedkinaselackingC-terminal
BC090006
NM_001011961

1.16
0.009




regulatorytyrosineandN-terminal









myristylationsites







156
Aldh16a1
aldehydedehydrogenase16family,
BC101860
NM_001033706

1.16
0.007




memberA1







157
Id2
inhibitorofDNAbinding2
BC086391
NM_013060

1.16
0.001


158
LOC688495


NM_001135252

1.15
0.006


159
Prrx2
pairedrelatedhomeobox2

NM_001105739

1.15
0.007


160
Tomm20|
translocaseofoutermitochondrial

XM_001072851

1.15
0.002




membrane20 homolog(yeast)-like







161
Vtn
vitronectin
BC105821
NM_019156

1.15
0.006


162
Lipg
lipase, endothelial
AY916123
NM_001012741

1.15
0.009


163
Dpf2
D4, zincanddoublePHDfingersfamily2

NM_001108516

1.14
0.000


164
Adcy2
adenylatecyclase2(brain)
M80550
NM_031007

1.14
0.007


165
Dclre1a
DNAcross-linkrepair1A

NM_001106201

1.14
0.005


166
Amigo3
adhesionmoleculewithIglikedomain3
AY237731
NM_178144

1.14
0.001


167
Hsd17b11
hydroxysteroid(17-
BC078929
NM_001004209

1.14
0.006




beta)dehydrogenase11







168
Agfg2
ArfGAPwithFGrepeats2

NM_001107131

1.14
0.009


169
Lcor
liganddependentnuclearreceptor-



1.14
0.002




corepressor







170
Pak6
p21protein(Cdc42/Rac)-

NM_001106498

1.14
0.010




activatedkinase6







171
Ywhab
tyrosine3-
BC076502
NM_019377

1.14
0.009




monooxygenase/tryptophan5-









monooxygenaseactivationprotein,









betapolypeptide







172
Gabrd
gamma-aminobutyricacid(GABA)A
M35162
NM_017289

1.14
0.009




receptor, delta







173
Polg
polymerase(DNAdirected), gamma

NM_053528

1.13
0.003


174
Card10
caspaserecruitmentdomainfamily,

NM_001130554

1.13
0.006




member10







175
Zic5
Zicfamilymember5

NM_001108391

1.13
0.007


176
Prelp
proline/arginine-richendleucine-
AF163569
NM_053385

1.13
0.003




richrepeatprotein







177
Cldn18
claudin18



1.13
0.001


178
Ppp1r36
proteinphosphatase1,
BC079166
NM_001013944

1.13
0.005




regulatorysubunit36







179
MGC125002
similartoRIKENcDNA5830433M19
BC105829


1.13
0.001


180
Limch1
LIMandcalponinhomologydomains1
FQ226534
NM_001191678

1.13
0.009


181
Prr19
prolinerich19
BC168703
NM_001173428

1.13
0.004


182
Mir615
microRNAmir-615

NR_032748

1.13
0.002


183
Chmp1b
chargedmultivesicularbodyprotein1B
BC168175
NM_001109533

1.13
0.008


184
Odf4
outerdensefiberofspermtails4
BC079319
NM_001007670

1.13
0.009


185
Ldoc1|
leucinezipper, down-regulatedin

XM_001078075

1.12
0.005




cancer1-like







186
Olr6
olfactoryreceptor6

NM_001000539

1.12
0.008


187
Gpr68
Gprotein-coupledreceptor68

NM_001108049

1.12
0.004


188
Opa3
opticatrophy3(human)
BC168945
NM_001107486

1.12
0.005


189
Tmprss2
transmembraneprotease, serine2
BC061712
NM_130424

1.12
0.003


190
Wfdc3
WAPfour-disuifidecoredomain3

NM_001106541

1.12
0.010


191
Adam1a
adisintegrinandmetallopeptidase
BC081807
NM_020078

1.12
0.005




domain1a







192
Fat3
FATtumorsuppressorhomolog3
AB076401
NM_138544

1.12
0.010




(Drosophila)







193
Mmp11
matrixmetallopeptidase11
BC099781
NM_012980

1.12
0.005


194
Lcat
lecithincholesterolacyltransferase
BC091155
NM_017024

1.12
0.007


195
Akap5
Akinase(PRKA)anchorprotein5
U67136
NM_133515

1.12
0.002


196
Fkbp4
FK506bindingprotein4

NM_001191863

1.11
0.006


197
Jrk
jerkyhomolog(mouse)
BC152551
NM_001104612

1.11
0.008


198
RGD1311517
similartoRIKENcDNA9430015G10
BC083613


1.11
0.006


199
Vps28
vacuolarproteinsorting28homolog
BC168742
NM_001130492

1.11
0.009




(S. cerevisiae)







200
Trmu
tRNA5-methylaminomethyl-2-
BC161991
NM_001135876

1.11
0.004




thiouridylatemethyltransferase







201
Dtx3
deltexhomolog3(Drosophila)

NM_001191989

1.11
0.004


202
Mir3588
microRNAmir-3588

NR_037386

1.10
0.004


203
Calhm1
calciumhomeostasismodulator1

NM_001109168

1.10
0.006


204
Fscn2
fascinhomolog2, actin-

NM_001107072

1.10
0.006




bundlingprotein, retinal









(Strongylocentrotuspurpuratus)







205
Robo1
roundabouthomolog1(Drosophila)
AF041082
NM_022188

1.10
0.004


206
RGD1310212
similartoKIAA1111-likeprotein

NM_001106765

1.10
0.002


207
Homer3
homerhomolog3(Drosophila)
AB020879
NM_053310

1.10
0.004


208
Neu2
sialidase2(cytosolicsialidase)
D16300
NM_017130

1.10
0.007


209
Wisp1
WNT1induciblesignalingpathwayprotein1
AF228049
NM_031716

1.10
0.010


210
Tdrd5
tudordomaincontaining5
BC168218
NM_001134739/

1.10
0.009


211
Asgr2
asialoglycoproteinreceptor2
AF230645
NM_017189

1.10
0.007


212
Speg
SPEGcomplexlocus
U57097
NM_001108802/

1.10
0.009


213
RGD1306782
similartoRIKENcDNA1700029P11

XM_001077385

1.10
0.009


214
Mecom
MDS1andEVI1complexlocus



1.10
0.002


215
Col20a1
collagen, typeXX, alpha1

XM_001058131

1.10
0.006


216
Ywhae
tyrosine3-
M84416
NM_031603

1.09
0.003




monooxygenase/tryptophan5-









monooxygenaseactivationprotein,







217
Acot12
acyl-CoAthioesterase12
AB040609
NM_130747

1.09
0.004


218
LOC100363401
celldivisioncycle26-like

XM_002729269

1.08
0.007


219
Cldn11
claudin11
BC070927
NM_053457

1.08
0.008


220
DSTN
Destrin
CAG46754.1
CR541956.1

1.23
0.040


221
ENO3
Beta-Enolase 3
P13929.5


1.12
0.040


222
RNF165/Ark2C
E3 ubiquitin protein ligase Arkadia
NP_001317260.1


1.18
0.040


223
RNFT2
Ring-finger and transmembranedomain
Q96EX2.2


1.33
0.040




containingprotein 2







224
S100A12
S100 calcium binding protein in
P80511.2


1.46
0.040




amniotic fluid







225
ANKRD34C
ankyrin repeat domain containing
NP_001139813.1


1.20
0.040




protein 34C







226
C9
Complement 9
AAB51328.1


1.15
0.040


227
C1S
Complement C1s subcomponent
P09871.1


1.22
0.040


228
CD34
Hematopoietic progenitor cell antigen
P28906.2


1.19
0.040




34







229
CD40
Tumor necrosis factor receptor
P25942.1


1.32
0.040




superfamily member 5







230
CFB
Complement factor B
P00751.2


1.16
0.040


231
CRP
cAMP-activated global trnascriptional
P0ACJ8.1


1.21
0.040




regulator







232
CXCL1
CXC motif chemokine 1
P09341.1


1.45
0.040


233
HIF1A
Hypoxia-inducible factor 1-alpha
Q16665.1


1.23
0.040


234
IL10
Interleukin 10
CAG46790.1


1.17
0.040


235
IL6
Interleukin 6
P05231.1


1.22
0.040


236
KCNA2
Potassium voltage-gated channel
P16389.2


1.20
0.040




subfamily A member 2







237
LYPD1
Ly6/PLAUR domain-containing protein 1
Q8N2G4.2


1.23
0.040


238
OMG
Oligodendrocyte-myelin glycoprotein
P23515.2


1.15
0.040


239
RBFOX1
RNA-binding protein fox-1 homolog 1
Q9JJ43.3


1.24
0.040


240
RBFOX2
RNA-binding protein fox-1 homolog 2
O43251.3


1.32
0.040


241
TARDBP/TDP-43
TAR-DNA binding protein 43
Q13148.1


1.36
0.040


242
CAPN1
Calpain 1 catalytic subunit
P07384.1


1.26
0.040


243
TNIK
TRAF2 and NCK-interacting protein
Q9UKE5.1


1.34
0.008




kinase







244
CNP
2′,3′-cyclic-nucleotide 3′-
P09543.2


1.24
0.040




phosphodiesterase







245
CRHR1
corticotropn relasing factor 1
P34998.1


1.19
0.040


246
MPPED1
Metallophosphoesterase domain-
O15442.3


1.42
0.040




containing protein 1







247
ITGAM
Integrin alpha M
P11215.2


1.29
0.040


248
GSG1L
Germ cell-specific gene 1-like protein
Q6UXU4.2


1.19
0.040


249
CUX2
Homeobox protein cut-like 2
O14529.4


1.23
0.040


250
SLC45A1
proton-associated sugar transproter
Q9Y2W3.4


1.41
0.040






text missing or illegible when filed indicates data missing or illegible when filed





















TABLE 2










cDNA
add-





target (rat)
primer forward 5′-3′
primer reverse 5′-3′
dilutior
ons
M
TG





Ifng
GCCCTCTCTGGCTGTTACTG
CTGATGGCCTGGTTGTCTTT
1:25
5%
n = 7
n = 3




(SEQ ID NO: 31) concentration:
(SEQ ID NO: 32) concentration: 300 nM

Factor






50 nM


Q





Ccl4
CTCTCTCCTCCTGCTTGTGG
CACAGATTTGCCTGCCTTTT
1:25
5%
n = 8
n = 6




(SEQ ID NO: 33) concentration:
(SEQ ID NO: 34) concentration: 50 nM

Factor






900 nM


Q





Il13ra1
GAAACATGGAGGGTGCAAGT
CACTGCGACAAAGACTGGAA
1:25
5%
n = 7
n = 5




(SEQ ID NO: 35) concentration:
(SEQ ID NO: 36) concentration: 300 nM

Factor






300 nM


Q





Il12rb2
AGCCTCTTAACAGCACATCCT
TGAAATTCATATTCTGTGAATGGTCT
1:25
no
n = 8
n = 5




(SEQ ID NO: 37) concentration:
(SEQ ID NO: 38) concentration: 300 nM








300 nM








C3
GAGAGCTGGTTGTGGACCAT
CAGTCGCAGGTCAATGAAGA
1:25
5%
n = 7
n = 5




(SEQ ID NO: 39) concentration:
(SEQ ID NO: 40) concentration: 300 nM

Factor






50 nM


Q





Slc27a2
GCAGGAAATACAACGCCACT
TCTTCCAACAGCTCCGATTT
1:25
5%
n = 8
n = 5




(SEQ ID NO: 41) concentration:
(SEQ ID NO: 42) concentration: 300 nM

Factor






50 nM


Q





Actin
GAGAGGGAAATCGTGCGTG
CATGGATGCCACAGGATTCC
depen-
no






(SEQ ID NO: 43) concentration:
(SEQ ID NO: 44) concentration: 300 nM
dent on







300 nM

target






















batch


target


cDNA
add-
batch 2 | LMU
1 | Grafenberg
















(human)
primer forward 5′-3′
primer reverse 5′-3′
dilutior
ons
HC
SP
UR
CTRL
SCZ





IFNG
GGCTGTAGATTCTCGAGTGCGG
CGCTACATCTGAATGACCTGC
1:50
no
n = 43
n = 57
n = 9
n = 51
n = 15



(SEQ ID NO: 1) concentration:
(SEQ ID NO: 2) concentration: 300 nM










300 nM










CCL4
CTGAGTTCTGCAGCCTCACC
CTGGGATCAGCACAGACTTGC
1:10
no
n = 41
n = 54
n = 9
n = 50
n = 17



(SEQ ID NO: 3) concentration:
(SEQ ID NO: 4) concentration: 300 nM










300 nM










IL13RA1
CCACCCGAGGGAGCCAGCTC
CTTCTGGGGGTGAGATGC
1:10
no
n = 44
n = 55
n = 8
n = 51
n = 18



(SEQ ID NO: 5) concentration:
(SEQ ID NO: 6) concentration: 50 nM










50 nM










IL12RB2
GACTGTGGCCTGCACCTG
GACAGCAGTAACCTTGGCTGTG
1:10
no
n = 42
n = 54
n = 9
n = 48
n = 16



(SEQ ID NO: 7) concentration:
(SEQ ID NO: 8) concentration: 300 nM










300 nM










C3
GCTCCAGACACAGATGACCTG
GCGTAGACCTTGACTGCTCCAG
1:10
no



n = 45
n = 17



(SEQ ID NO: 9) concentration:
(SEQ ID NO: 10) concentration: 300 nM










50 nM










C3
CCCTCACGGCCTTTGTTCTC
GCCAGAGCATAGCCAGCAATG
1:10
no
n = 38
n = 53
n = 7





(SEQ ID NO: 11)
(SEQ ID NO: 12) concentration: 300 nM









SLC27A2
CCACGACAGAGTTGGAGATAC
GGCCTTGCATAACTAGGTAGG
1:25
no
n = 43
n = 57
n = 8
n = 49
n = 18



(SEQ ID NO: 13) concentration:
(SEQ ID NO: 14) concentration: 300 nM










300 nM










RGS1
GAGTTCTGGCTGGCTTGTGAAG
GGCTGTAGATTCTCGAGTGCGG
1:10
no
n = 43
n = 57
n = 8
n = 50
n = 18



(SEQ ID NO: 15) concentration:
(SEQ ID NO: 16) concentraticn: 300 nM










300 nM










JAK2
GAATGTCTTGGGATGGCAGTG
CAGTGGCTTTGCATTGGCTG
1:10
no
n = 38
n = 50
n = 8





(SEQ ID NO: 17) concentration:
(SEQ ID NO: 18) concentration: 300 nM










300 nM










CCR5
GAGACATCCGTTCCCCTACAAG
GTGAGTAGAGCGGAGGCAGG
1:10
no
n = 38
n = 51
n = 8
n = 31
n = 13



(SEQ ID NO: 19) concentration:
(SEQ ID NO: 20) concentration: 300 nM










300 nM










FPR2
GTGTCCTATGAGTCTGCTGG
CCATGGCCATGGAGACAATG
1:10
no
n = 45
n = 53
n = 9





(SEQ ID NO: 21) concentration:
(SEQ ID NO: 22) concentration: 300 nM










300 nM










NKG7
CCCGCTTGTCTCAACCACC
CACAGTGAGCACCCAGGC
1:10
no
n = 40
n = 54
n = 9





(SEQ ID NO: 23) concentration:
(SEQ ID NO: 24) concentration: 300 nM










300 nM










KMO
GAATGCGGGCTTTGAAGACTG
CGCGTGATCATCTGGGATTC
1:10
no
n = 44
n = 53
n = 9





(SEQ ID NO: 25) concentration:
(SEQ ID NO: 26) concentration: 300 nM










300 nM










SERPINB1
GACCAGAGGTAACACGGCAG
CACTGGCCAGGTCAGCAC
1:10
no
n = 39
n = 51
n = 8





(SEQ ID NO: 27) concentration:
(SEQ ID NO: 28) concentration: 300 nM










300 nM










ARF1
GACCACGATCCTCTACAAGC
TCCCACACAGTGAAGCTGATG
depen-
no








(SEQ ID NO: 29) concentration:
(SEQ ID NO: 30) concentration: 300 nM
dent on









300 nM

target








Claims
  • 1. A method for in vitro diagnosis of a presence of a mental disorder in a human individual or a predisposition of the human individual to the mental disorder, wherein the mental disorder is associated with a dysfunctional DISC1 protein pathway or disturbed dopamine homeostasis, the method comprising: a) measuring in a sample of a body tissue or fluid from the human individual the expression levels of at least two marker genes, each of which coding for at least one marker protein, wherein said marker genes are selected from the group consisting of human NKG7, RGS1, CCL4, IFNG, IL12RB2, IL13RA1, KMO, FPR2, SLC27A2, and C3;b) comparing measured expression levels to predetermined threshold values representing the expression levels of said marker genes in a healthy population; andc) based on the comparison, determining whether the human individual has the mental disorder or a predisposition to the mental disorder, wherein the measured expression levels are indicative to the mental disorder or disposition if the measured expression levels of said marker genes exceed, reach or fall below a predetermined threshold value.
  • 2. The method according to claim 1, wherein a first marker gene is RGS1 and at least one second marker gene is selected from the group consisting of human NKG7, CCL4, IFNG, IL12RB2, IL13RA1, KMO, FPR2, SLC27A2, and C3.
  • 3. The method according to claim 2, wherein the first marker gene is RGS1 and the second marker gene is NKG7 and/or CCL4.
  • 4. The method according to claim 1, wherein at least one additional marker gene is selected from the human equivalents of the genes listed in Table 1.
  • 5. The method according to claim 1, wherein the measured expression levels are indicative to the mental disorder or disposition if each measured expression level is lower than a respective reference expression level and/or reaches or falls below the predetermined threshold value.
  • 6. The method according to claim 1, wherein the expression levels are measured by quantitative reverse transcription Polymerase Chain Reaction or a high-affinity binding assay, and/or wherein the expression levels are measured by microarray analysis.
  • 7. A combination of at least two marker proteins derived from marker genes, or at least two nucleic acid molecules comprising marker genes coding for marker proteins, said marker genes being selected from the group consisting of human NKG7, RGS1, CCL4, IFNG, IL12RB2, IL13RA1, KMO, FPR2, SLC27A2, and C3, for use in in vitro diagnostics.
  • 8. The combination according to claim 7, wherein a first marker gene is RGS1 and at least one second marker gene is selected from the group consisting of human NKG7, CCL4, IFNG, IL12RB2, IL13RA1, KMO, FPR2, SLC27A2, and C3.
  • 9. The combination according IQ claim 7, wherein at least one additional marker gene is selected from the human equivalents of the genes listed in Table 1.
  • 10. The combination according to claim 7 configured for use in an in vitro method of diagnosing presence of a mental disorder in a human individual or a predisposition of the human individual to the mental disorder, wherein the mental disorder is associated with a dysfunctional DISC1 protein pathway or disturbed dopamine homeostasis.
  • 11. A kit for diagnosing presence of a mental disorder in a human individual or a predisposition of the human individual to the mental disorder in vitro, wherein the mental disorder is associated with a dysfunctional DISC1 protein pathway or disturbed dopamine homeostasis, the kit comprising: a) a set of oligonucleotide primers which are suitable to initiate amplification of transcripts of at least two marker genes, each of which coding for at least one marker protein, in a Polymerase Chain Reaction and/or microarray, wherein said marker genes are selected from the group consisting of human NKG7, RGS1, CCL4, IFNG, IL12RB2, IL13RA1, KMO, FPR2, SLC27A2, and C3, and/orat least two first antibodies or molecules, each of which specifically binding to a marker protein in a body tissue or fluid from the individual, wherein the marker proteins are derived from marker genes selected from the group consisting of human NKG7, RGS1, CCL4, IFNG, IL12RB2, IL13RA1, KMO, FPR2, SLC27A2, and C3;b) at least two reporter probes capable of binding to complementary DNA (cDNA) derived from the transcripts, which are suitable to be detected in a quantitative reverse transcription Polymerase Chain Reaction, and/orat least two labelled second antibodies, each of which specifically binding to one of the first antibodies or molecules, which are designed to be detected in a high-affinity binding assay; and optionally,c) at least two reference samples.
  • 12. A method for determining a response to at least one pharmaceutical compound able to correct a dysfunctional DISC1 protein pathway or disturbed dopamine homeostasis, wherein the expression levels of at least two marker genes are determined and compared according to a) and b) of the method according to claim 1, and wherein the measured expression levels indicate that the response to the pharmaceutical compound is positive if each aberrant expression level of said marker genes is normalized or at least improved.
  • 13. A nonhuman transgenic animal useful for providing organs, tissues, or cells, which is able to stably express a modified gene coding for human DISC1 protein, wherein the expression level of the modified gene is higher than that of the respective wild-type gene and thus results in the formation of aggregates of the DISC1 protein within the cells, said animal representing a subset of human subjects having at least one mental disorder, for use in identification and analysis of marker proteins or genes for diagnosing mental disorders in human individuals.
  • 14. A method for determining the therapeutic effect of a potentially curative pharmaceutical compound on a mental disorder, or a predisposition of a human individual to the mental disorder, associated with a dysfunctional DISC1 protein pathway or disturbed dopamine homeostasis, wherein said pharmaceutical compound is administered to a transgenic animal, and wherein it is indicated that a therapeutic effect is positive if aberrant expression levels of at least two marker genes selected from the group consisting of NKG7, RGS1, CCL4, IFNG, IL12RB2, IL13RA1, KMO, FPR2, SLC27A2, and C3 are normalized in said transgenic animal after administration of said pharmaceutical compound.
  • 15. The method according to claim 14, wherein the transgenic animal is a nonhuman transgenic animal useful for providing organs, tissues, or cells, which is able to stably express a modified gene coding for human DISC1 protein, wherein the expression level of the modified gene is higher than that of a respective wild-type gene and thus results in formation of aggregates of the DISC1 protein within the cells, said animal representing a subset of human subjects having at least one mental disorder.
  • 16. A method for measuring expression levels of at least two marker genes, the method comprising: providing a sample of a body tissue or fluid from an individual,measuring in the sample the expression levels of the at least two marker genes encoding the marker proteins according to claim 7 via quantitative reverse transcription Polymerase Chain Reaction (PCR) or a high-affinity binding assay, and/or via microarray analysis,detecting the quantitative reverse transcription PCR products or a binding to the marker proteins in the high-affinity binding assay and/or the microarray.
  • 17. The method of claim 16, wherein the detecting comprises: a) providing a set of oligonucleotide primers which initiate amplification of transcripts of the at least two marker genes in the PCR and/or microarray, and/orat least two first antibodies or molecules, each of which specifically binding to one of the at least two marker proteins in a body tissue or fluid from the individual;b) providing at least two reporter probes that bind to complementary DNA (cDNA) derived from the transcripts, which are suitable to be detected in a quantitative reverse transcription PCR, and/orat least two labelled second antibodies, each of which specifically bind to one of the first antibodies or molecules, which are designed to be detected in a high-affinity binding assay.
Priority Claims (1)
Number Date Country Kind
16200925.2 Nov 2016 EP regional
PCT Information
Filing Document Filing Date Country Kind
PCT/EP2017/080504 11/27/2017 WO 00