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Predicting Treatment Response of Raloxifene Augmentation Based on Genetic Variants in Patients with Schizophrenia

Boer, Anne (2023) Predicting Treatment Response of Raloxifene Augmentation Based on Genetic Variants in Patients with Schizophrenia. Master's Research Project 2, Biomedical Sciences.

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Abstract

Sexual dimorphism in patients with schizophrenia shows through differences in symptoms and treatment efficiency. Estrogen replacement therapy has been used to treat schizophrenic symptoms in females, but is paired with substantial risks and cannot be used in males due to feminization. These risks are not linked to selective estrogen receptor modulators like raloxifene. Raloxifene has been shown to have positive effects on symptoms in females, but studies in males are rare and the results that are available are inconsistent. It is thought that these inconsistencies can be explained by genetic differences in associated SNPs in genes of the estrogen receptor (ESR1), UGT1A8 enzyme and COMT enzyme. This study aims to answer the question if genetic variations in SNPs of the ESR1, UGT1A8 and COMT genes can predict treatment response in men and women with schizophrenia. A total of 83 patients was included (28% was female) and given raloxifene or placebo for a duration of 12 weeks. During those weeks, symptoms severity was assed with the PANSS at baseline, after 6 weeks and 12 weeks. Since the female group was too small, analyses was performed on the group as a whole and specifically in males. Genotype*treatment interactions were investigated with the use of linear mixed effect models and pairwise comparisons. Positive effects of raloxifene were found in the whole group on general symptoms of TT carriers in the ESR1_rs2234693. Also, in both the whole group and male-specific group, ral

Item Type: Thesis (Master's Research Project 2)
Supervisor name: Sommer, I.E.C. and Brand, B.A. and Beer, F. de
Degree programme: Biomedical Sciences
Thesis type: Master's Research Project 2
Language: English
Date Deposited: 27 Nov 2023 09:15
Last Modified: 27 Nov 2023 09:15
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/31675

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