Trial reportNeuropsychiatric disease and treatment2025
The Correlation Between DRD2 and COMT Gene Polymorphisms, HPT and HPG Axes Functions, and Antipsychotic Drug-Induced Hyperprolactinemia and Macroprolactinemia.
Trial report in Neuropsychiatric disease and treatment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Disease duration-stratified associations of thyroid hormone levels with psychopathology in hospitalized patients with schizophrenia: A cross-sectional study.World journal of psychiatry · 2025Article
- Combinatorial classification model for predicting antipsychotic-induced hyperprolactinemia risk.American journal of translational research · 2025Article
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Authors and funding
6 authors.
Funding
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Abstract
Purpose: This study aimed to investigate the relationship between dopamine receptor D2 (DRD2) and catechol-o-methyltransferase (COMT) gene polymorphism, hypothalamic-pituitary-thyroid (HPT) and hypothalamic-pituitary-gonadal (HPG) axes functions, and macroprolactinemia induced by antipsychotics. Patients and Methods: A total of 133 patients with schizophrenia were selected and given risperidone (4~6mg/d) monotherapy. The polymorphisms of DRD2 Taq1A and COMT Val158Met were analyzed using RFLP-PCR at baseline, and the levels of total prolactin (T-PRL), macroprolactin, C peptide (C-P), estradiol (E2), cholesterol (TC), low density lipoprotein (LDL), insulin, cortisol, thyroid function, and reproductive hormone were measured at baseline and the end of the fourth week of treatment. The patients were divided into a hyperprolactinemia group and a macroprolactinemia group according to their levels of T-PRL and macroprolactin, and the differences in the above indexes between the two groups were analyzed. Results: There was no significant difference in the DRD2 Taq1A or COMT Val158Met gene polymorphisms between the two groups. However, after four weeks of treatment, significant differences were observed between the two groups in terms of C-P ( Conclusion: DRD2 Taq1A and COMT Val158Met gene polymorphisms may not be effective in predicting macroprolactinemia, but changes in C-P, E2, TC, insulin, T3 and FT3 levels may have some suggestive significance for the differentiation of hyperprolactinemia and macroprolactinemia.
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