Development of technology to measure early diagnosis whether "schizophrenia" is measured by measuring genes extracted from blood

finally"schizophreniaIt seems that we succeeded in developing the "Test Kit". This was done by SRL Inc. through creative seed development business · entrusted development. As a result, about 10 kinds of genes fluctuating in association with schizophrenia are extracted from the analysis result of about 55,000 genes using DNA microarray, and it is utilized as a technique to support special diagnoses for early diagnosis of schizophrenia It seems that it will be expected to contribute to avoidance of severity of patients and improvement of cure rate by achieving early treatment.

Details are as below.
Successful in developing schizophrenia test technology - Supports early diagnosis

Schizophrenia is a disease in which about 0.8% of the population has developed, and in the case of chronicity, normal social life may not be able to be administered, and it is classified into multiple disease types according to psycho-symptomatic criteria. However, in the final diagnosis, it is the current situation that it depends on the experience of a specialist. There is a background that it was desired that a method to support early diagnosis like an objective examination method using a biological marker was desired because it is needless to say that treatment is performed before symptoms become chronic.

In this new technique, first, blood is collected from a patient, mRNA is extracted from this, and the expression level of a gene related to schizophrenia is measured with a DNA microarray.

Measurement method is like this, 16 samples can be measured simultaneously on one sheet


Approximately 2 thousand DNAs are spotted in one compartment


Analysis of about 55,000 genes by this technique revealed that genes considered to be about 10 types of biological markers fluctuating in association with schizophrenia are identified and the variation in the expression level of these genes is called a neural network The classification prediction model analyzed and constructed by the algorithm has high true positive rate and true negative rate in discrimination of schizophrenic patient group and can be utilized as a technique to support specialist's diagnosis of schizophrenia is.

Among them, will they be included in the company's regular health examination ... ....