Antipsychotic drug related metabolism syndrome susceptible gene and application thereof
A technology for antipsychotic drugs and metabolic syndrome, applied in the field of biotechnology and detection, can solve problems such as relapse and reduce drug treatment compliance
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0130] Example 1 Evaluation of Clinical Samples
[0131] A total of 722 patients (401 males and 321 females) were enrolled. According to the DSM-IV diagnostic criteria, two senior physicians diagnosed and confirmed schizophrenia. They took atypical antipsychotics alone for more than one year (clozapine: 631 cases, olanzapine: 59 cases, risperidone: 32 cases), medical history and clinical data were collected, and the curative effect was evaluated by the Positive and Negative Syndrome Scale (PANSS). Blood was collected for metabolic index determination.
[0132] The definition of metabolic syndrome adopts the diagnostic criteria promulgated by the International Diabetes Federation (IDF) in 2005: central obesity (waist circumference ≥ 90 cm for Chinese men and ≥ 80 cm for women) plus any 2 of the following 4 factors, (1) triglycerides Elevated (TG) level: >1.7mmol / L (150mg / dL), or has been treated for this dyslipidemia. (2) Reduction of high-density lipoprotein cholesterol (HDL...
Embodiment 2
[0137] Example 2 Antipsychotic drug-associated metabolic syndrome susceptibility kit
[0138] Based on the correlation between the rs11654081-T allele of the SREBF1 gene and the metabolic syndrome associated with antipsychotic drugs, using SEQ ID NO.: 2, 3 (also can be designed separately) as primers, using the DNA of the patient's blood sample as a template Amplify and detect.
[0139] The prepared kit contains primers shown in SEQ ID NO.: 2 and 3, and a PCR reaction solution.
Embodiment 3
[0140] Example 3 Auxiliary Detection of Antipsychotic Drug-Related Metabolic Syndrome Susceptibility
[0141] Using the kit and general method in Example 2, 50 patients known to have antipsychotic drug-related metabolic syndrome in Example 1 and 50 samples without antipsychotic drug-related metabolic syndrome were collected. The two groups of samples were mixed, and using a random double-blind method, the presence of the SNP was detected in all samples, and the results were compared with samples known to have the disease.
[0142] The test results showed that there were 30 samples containing the SNP of the present invention, and 28 of them were from subjects suffering from antipsychotic drug-associated metabolic syndrome.
[0143] It can be seen that the SNP of the present invention has a very strong correlation with MetS, and the susceptibility to MetS can be effectively predicted and evaluated by using the SNP site.
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com