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Leukocyte telomere length in patients with schizophrenia and related disorders: a meta-analysis of case-control studies

荟萃分析 混淆 精神分裂症(面向对象编程) 元回归 随机效应模型 置信区间 端粒 医学 生物标志物 精神病 内科学 心理学 精神科 遗传学 生物 DNA
作者
Miriam Ayora,David Fraguas,Renzo Abregú-Crespo,Sandra Recio,Marı́a A. Blasco,Ana Carolina Moisés,Aksinya Derevyanko,Celso Arango,Covadonga M. Díaz‐Caneja
出处
期刊:Molecular Psychiatry [Springer Nature]
卷期号:27 (7): 2968-2975 被引量:18
标识
DOI:10.1038/s41380-022-01541-7
摘要

Telomere length may serve as a biomarker of cellular aging. The literature assessing telomere length in schizophrenia contains conflicting results.To assess differences in leukocyte telomere length (LTL) in peripheral blood in patients with schizophrenia and related disorders and healthy controls and to explore the effect of potential confounding variables.A search of Ovid MEDLINE, and Proquest databases was conducted to identify appropriate studies published from database inception through December 2020. The review protocol was registered with PROSPERO-ID: CRD42021233280.The initial literature search yielded 192 studies. After study selection in 3 phases, we included 29 samples from 22 studies in the meta-analysis database.We used random effects and meta-regression models to derive Cohen d values with pooled 95% confidence intervals (CI) as estimates of effect size (ES) and to test effects of potential moderators.The overall meta-analysis included 4145 patients with schizophrenia and related disorders and 4184 healthy controls and showed that LTL was significantly shorter in patients, with a small to medium effect size (ES, -0.388; 95% CI, -0.492 to -0.283; p < 0.001). Subgroup meta-analyses did not find a significant effect of age or illness duration on differences in LTL in patients with psychosis relative to controls. Meta-regression analyses showed that none of the putative moderators had a significant effect on effect size estimates.This meta-analysis find further support for the hypothesis of accelerated cellular aging in schizophrenia and related disorders and highlights the need for large longitudinal studies with repeated LTL measurements over time and appropriate assessments of associated factors.
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