Published online Oct 19, 2024. doi: 10.5498/wjp.v14.i10.1573
Revised: September 11, 2024
Accepted: September 23, 2024
Published online: October 19, 2024
Processing time: 173 Days and 1.8 Hours
Major depressive disorder (MDD) is a substantial global health concern, and its treatment is complicated by the variability in individual response to antidepressants.
To consolidate research and clarify the impact of genetic variation on MDD treatment outcomes.
Adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, a systematic search across PubMed, EMBASE, Web of Science, and the Cochrane Library was conducted without date restrictions, utilizing key terms related to MDD, serotonin 1A receptor polymorphism (5-HTR1A), C-1019G polymorphism, and antidepressant response. Studies meeting inclusion criteria were thoroughly screened, and quality assessed using the Newcastle-Ottawa Scale. Statistical analyses, including χ2 and I² values, were used to evaluate heterogeneity and fixed-effect or random-effect models were applied accordingly.
The initial search yielded 1216 articles, with 11 studies meeting criteria for inclusion. Analysis of various genetic models showed no significant association between the 5-HTR1A C-1019G polymorphism and antidepressant efficacy. The heterogeneity was low to moderate, and no publication bias was detected through funnel plot symmetry and Egger's and Begg's tests.
This meta-analysis does not support a significant association between the 5-HTR1A C-1019G polymorphism and the efficacy of antidepressant treatment in MDD. The findings call for further research with larger cohorts to substantiate these results and enhance the understanding of antidepressant pharmacogenetics.
Core Tip: This study investigates whether the serotonin 1A receptor polymorphism C-1019G polymorphism influences antidepressant efficacy in major depressive disorder (MDD). Despite extensive research, our meta-analysis involving 11 selected studies shows no significant correlation between this genetic variation and treatment outcomes. These findings underscore the complexity of antidepressant pharmacogenetics and highlight the need for further large-scale studies to clarify the role of genetic factors in MDD treatment response. This work contributes to the ongoing discussion and development of personalized medicine strategies in psychiatry.