Prediction device for curative effect of antipsychotic drug
A technology of antipsychotic drugs and predictive devices, applied in the biological field, can solve the problems that the effect of data cannot be accurately predicted by doctors, and the lack of response to antipsychotic drug treatment, so as to improve efficiency and ensure accuracy
Pending Publication Date: 2022-05-10
WUHAN UNIV
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[0004] The main purpose of the present invention is to provide a device for predicting the curative effect of antipsychotic drugs, aiming to solve the technical problems in the prior art that the treatment of antipsychotic drugs lacks response and the effect of data cannot be accurately predicted by doctors
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[0030] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0031] The solution of the embodiment of the present invention is mainly to process and calculate the volume of the subcortical structure of the subject through the variation determination module, calculate the correlation coefficient of the volume of the two brain regions in the volume, and determine the cortical structure according to the correlation coefficient. The degree of variation of the covariant connection of the subcortical structure; the gene acquisition module obtains the whole genome gene expression value of the autopsy brain tissue corresponding to the subcortical structure, and determines the gene of interest according to the whole genome gene expression value and the degree of variation; prediction The module obtains the methylation level corresponding to the gene of interest, constructs a stepwise mul...
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The invention discloses a device for predicting the curative effect of an antipsychotic drug, and the method comprises the steps: processing and calculating the volume of a subcortical structure of a subject through a variation determination module, calculating a correlation coefficient of the volumes of two brain intervals in the volume, and determining the variation degree of covariant connection of the subcortical structure according to the correlation coefficient; a gene acquisition module acquires a whole genome gene expression value of an autopsy brain tissue corresponding to the subcortical structure, and determines an interested gene according to the whole genome gene expression value and the variation degree; and a prediction module obtains the methylation level corresponding to the gene of interest, constructs a stepwise multiple linear regression model according to the methylation level, and obtains a prediction result of the curative effect of the antipsychotic drug through the multiple linear regression model, so that the curative effect of the antipsychotic drug can be effectively predicted. The efficiency of predicting the curative effect of the antipsychotic drug is improved, and the accuracy of predicting the curative effect of the antipsychotic drug is ensured.
Description
technical field [0001] The invention relates to the field of biotechnology, in particular to a device for predicting the curative effect of antipsychotic drugs. Background technique [0002] Approximately 70% of patients with first-episode schizophrenia who subsequently develop treatment resistance have shown a lack of response to non-clozapine antipsychotic treatment from their first presentation to mental health services; early treatment responses are considered One of the reliable indicators to predict the clinical outcome of patients, but it is variable and cannot be accurately predicted by physicians; therefore, to identify biomarkers with predictive potential by studying the relationship between objective biomarkers and early treatment response in schizophrenia is crucial. [0003] At present, there is still a lack of effective subcortical structural covariant connectivity and DNA methylation multimodal data construction methods to apply to the prediction of antipsych...
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IPC IPC(8): G16B20/20G16B35/00G16B50/00G16H50/30G16H70/40
CPCG16B20/20G16B35/00G16B50/00G16H50/30G16H70/40
Inventor 宗小芬郑俊杰胡茂林
Owner WUHAN UNIV