Background: Schizophrenia is a serious mental illness affecting 0.3-0.7% of the world’s population. It is a classic quantitative genetic disease and is affected by a variety of common and rare genetic variants. Methods: To facilitate personalized and precise medicine for schizophrenia treatment, we designed a program by genotyping a panel of related genes for schizophrenic patients using MassARRAY time-of-flight mass spectrometry. The program was tested in an observational clinical study conducted at the Hulunbuir Mental Health Center of China. In the study, a total of 254 patients diagnosed with schizophrenia were recruited and genotyped. The genotyping results were used to generate reports listing where the 16 included antipsychotics should be placed: “Use as directed,” “Use with caution,” or “Use with caution and with frequent blood concentration monitoring” categories. Seventy-two of the patients completed the 24-week follow-up observation, during which their PANSS scores were assessed at eight time points. Results: For all of the subjects who completed the study, the PANSS scores dropped significantly, showing the effectiveness of the treatment. During the 24-week study, PANSS scores of patients whose medications were consistent (N = 48) with their genetic test results dropped from 84.3 (SD = 12.4) to 58.8 (SD = 15.3), and average PANSS change rate reached 56.1% after 24 weeks. In contrast, PANSS scores of patients with genetic tests reported as “Use with caution” or “Use with caution and with frequent blood concentration monitoring” (N = 24) dropped from 81.1 (SD = 10.5) to 63.8 (SD = 10.1), and their average PANSS change rate was 37.6%. Conclusions: This research indicates that our pharmacogenomic-based program could be a suitable and effective tool to facilitate precise medication in schizophrenia treatment.
CITATION STYLE
Zhang, X., Gu, X., Huang, C., Zhang, Y., Shi, Y., & Qi, D. D. (2021). An Effective Method to Facilitate Personalized and Precise Medicine for Schizophrenia Treatment Based on Pharmacogenomics. Psychiatry and Clinical Psychopharmacology, 31(2), 148–156. https://doi.org/10.5152/pcp.2021.20176
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