The present invention relates to the use of the editing profile of PDE8A pre-mRNA as a specific bio marker of ADARs activities in evolved primate, particularly in Human tissues. The present invention also relates to an in vitro method for predicting in Human an alteration of the mechanism of the ADARs catalysed pre-mRNA editing of target genes, by analysing the PDE8A pre-mRNA editing profile in a peripheral tissue sample containing cells expressing said PDE8A pre-mRNA, such as blood sample. The present invention is also directed to an in vitro method for the screening of potential therapeutic compound and to predict and assess therapeutic efficacy and/or efficiency or to diagnose potential severe brain or peripheral drug side effects implementing said PDE8A pre-mRNA editing profile as specific biomarker. The present invention is further directed to a method for determining the PDE8A pre-mRNA editing profile in Human, particularly by capillary electrophoresis single-strand conformation polymorphism (CE-SSCP) method after amplification by a nested PCR. Finally the invention relates to particular nucleic acid primers implemented in said nested PCR and kit comprising such sets of primers and human cells capable of expressing PDE8A and ADARs.

Provided is a biomarker for bipolar disorder, comprising Syt7 gene and/or an expression product thereof. Also provided is use of the Syt7 gene and/or the expression product thereof in the preparing a medicament for treating bipolar disorder. By monitoring the Syt7 gene and/or the expression product thereof, medicaments for treating bipolar disorder can be screened, thus providing support for diagnosis and treatment targeting Syt7 molecules.

A method for assessing a suicidal severity in a depressed patient according to an embodiment includes measuring a concentration of a suicidal behavior prediction biomarker contained in a biological sample of the depressed patient, wherein the suicidal behavior prediction biomarker is one or more markers selected from the group consisting of cortisol, interleukin-1 beta (IL-1β), homocysteine, total cholesterol, and folate, and determining a probability of an increased suicidal severity by comparing the measured concentration of the suicidal behavior prediction biomarker with a preset cutoff level thereof.

Described is the use of GFAP as a marker of drug-induced cellular toxicity and depression.

Provided are a machine learning-based autism spectrum disorder (ASD) diagnosis method and device using a metabolite as a marker. The method comprises: measuring the content of at least one marker in a sample of a subject and comparing same with the content of the corresponding marker in a healthy control, or using an algorithm constructed by machine learning to process the content of the marker. Particularly, the marker is a metabolite in human urine. The device comprises: an accommodation space, configured to place the sample of the subject; a testing unit, configured to test the marker in the sample to obtain the content of the marker; and a calculation and determination unit, configured to perform calculation on the basis of the content of the marker according to a predetermined algorithm to obtain an indication of whether the subject suffers from ASD. According to the present application, the change pattern of a metabolite in urine is mined by means of a machine learning algorithm to provide diagnoses for children suffering from ASD. The device based on a predetermined algorithm provided by the present application can provide a new strategy for diagnosis of ASD.

The present invention relates to a marker composition for diagnosing major depressive disorder, comprising ZA2G and prothrombin as markers, a method for providing information necessary to determine the occurrence of major depressive disorder using the marker composition, a composition for determining the occurrence of major depressive disorder, comprising agents for measurement of the expression levels of the markers, and a kit for determining the occurrence of major depressive disorder, comprising devices for measurement of the expression levels of the markers. The method for providing information for use in determining the occurrence of major depressive disorder provided by the present invention can be widely utilized to determine the occurrence of various mental disorders, including major depressive disorder since it is possible to measure the expression levels of proteins of which the expression levels are changed at the time of the occurrence of major depressive disorder, and to more objectively and accurately determine the occurrence of major depressive disorder when the method is used.

In some embodiments, methods of inhibiting, ameliorating, reducing the severity of, treating, reducing the likelihood of, or preventing social isolation stress or symptoms thereof in a subject in need thereof are described. In some embodiments, methods of determining a risk of social isolation stress in a subject are described.

A method for treating a subject with depression characterized by having an increased burst firing in neurons of a lateral habenula in the subject is provided. The method includes a step of administering to the subject a pharmaceutical composition capable of inhibiting the burst firing in the lateral habenula of the subject. The pharmaceutical composition includes one or more active pharmaceutical agents, which can suppress the burst firing in the lateral habenula of the subject and can include at least one of an N-methyl-D-aspartate receptor (NMDAR) inhibitor or a T-type calcium channel inhibitor. The pharmaceutical composition can be in a formulation allowing for local administration to the lateral habenula of the subject, or can be in a formulation configured for systemic administration to the subject. A method for testing a test substance for an antidepressive effect is also provided.

A marker for determining a mental disease is provided. The marker can be used in an objective diagnosis of such a mental disease. The marker contains one or more enterobacteria of Bifidobacterium, Lactobacillus, Lactobacillus brevis, Lactobacillus reuteri subgroup, Lactobacillus sakei subgroup, Atopobium cluster, Bacteroides fragilis group, Enterococcus, Clostridium coccoides group, Clostridium leptum subgroup, Staphylococcus, Clostridium perfringens, and Enterobacteriaceae.

The present disclosure relates to a method for diagnosing mood disorder such as mania, depression and mania mixed using a circadian rhythm. According to the diagnostic method of the present disclosure, the condition of mood disorder can be diagnosed objectively and clearly based on the advance or delay of the circadian rhythm. That is to say, hypomania, mania, depression, mixed mania, etc. may be determined quickly and adequately so that appropriate therapeutic intervention can be made. In addition, according to the diagnostic method of the present disclosure, schizophrenia which is frequently confused with severe depression or bipolar disorder can be distinguished clearly. In addition, the selection of a therapeutic drug can be benefited greatly through this.