Suppr超能文献

精神疾病谱中的脑源性神经营养因子多态性:一项系统评价与荟萃分析方案

BDNF polymorphisms across the spectrum of psychiatric morbidity: A protocol for a systematic review and meta-analysis.

作者信息

Su Jingzhi, Liu Peiqu, Liu Bangshan, Zhang Yan

机构信息

Department of Psychiatry, The Second Xiangya Hospital.

Department of Anatomy and Neurobiology, School of Basic Medical Science, Central South University.

出版信息

Medicine (Baltimore). 2020 Nov 6;99(45):e22875. doi: 10.1097/MD.0000000000022875.

Abstract

BACKGROUND

Nowadays, psychiatric morbidities are more and more common, which imposes huge social and economic burden on all countries across the world. Mental illnesses are found to be related to genetics. Over the past few years, a large number of risk genes and loci related to psychiatric morbidities have been reported. The brain-derived neurotrophic factor (BDNF) is one of the main candidates in neuropsychiatric genetics. However, different studies have shown inconsistencies regarding effect modification of BDNF polymorphisms on psychiatric morbidities. Therefore, in the present study, we aim to qualitatively and quantitatively summarize the relationship between BDNF single nucleotide polymorphisms (SNPs) and various psychiatric morbidities through a meta-analysis.

METHODS

PubMed, Web of Science and Embase will be searched using a specified search strategy to identify relevant studies up to April 2020. The meta-analysis will be performed on (1) allele model, (2) dominant model, (3) recessive model, (4) homozygote, and (5) heterozygote model. Sensitivity analyses will be conducted to explore the impact of individual studies on the overall result by evaluating the odd ratios (ORs) with their corresponding 95% confidence intervals (CIs) before and after removing each of the studies from our meta-analysis. Chi-square test will be used to determine whether the observed allele or genotype frequencies in the controls are consistent with HWE. The statistical heterogeneity will be verified by I statistics. The fixed effects model is needed to estimate the ORs and 95% CIs when there was no heterogeneity between results of included studies (I < 50%); instead, the random effects model should be used when results of included studies showed significant heterogeneity (I > 50%). Publication bias will be evaluated with the use of Begg test and Egger test (P < .05 is considered statistically significant).

DISCUSSION

With this protocol, a methodology is established that explores the effect modification of BDNF polymorphisms on the association with psychiatric morbidities. Findings from this meta-analysis can provide significant insight into the etiology of psychiatric morbidities.

REGISTRATION

Open Science Framework (OSF) Preregistration. September 15, 2020. OSF.IO/QS7XT.

摘要

背景

如今,精神疾病越来越普遍,给世界各国带来了巨大的社会和经济负担。人们发现精神疾病与遗传学有关。在过去几年中,已经报道了大量与精神疾病相关的风险基因和基因座。脑源性神经营养因子(BDNF)是神经精神遗传学的主要候选基因之一。然而,不同的研究表明BDNF多态性对精神疾病的效应修饰存在不一致性。因此,在本研究中,我们旨在通过荟萃分析定性和定量总结BDNF单核苷酸多态性(SNP)与各种精神疾病之间的关系。

方法

将使用特定的检索策略在PubMed、Web of Science和Embase中进行检索,以识别截至2020年4月的相关研究。荟萃分析将在以下模型中进行:(1)等位基因模型,(2)显性模型,(3)隐性模型,(4)纯合子模型,以及(5)杂合子模型。将进行敏感性分析,通过在从荟萃分析中剔除每项研究前后评估比值比(OR)及其相应的95%置信区间(CI),来探讨个体研究对总体结果的影响。将使用卡方检验来确定对照组中观察到的等位基因或基因型频率是否与哈迪-温伯格平衡(HWE)一致。将通过I统计量验证统计异质性。当纳入研究的结果之间不存在异质性(I<50%)时,需要使用固定效应模型来估计OR和95%CI;相反,当纳入研究的结果显示出显著异质性(I>50%)时,则应使用随机效应模型。将使用Begg检验和Egger检验评估发表偏倚(P<0.05被认为具有统计学意义)。

讨论

通过本方案,建立了一种探索BDNF多态性对与精神疾病关联的效应修饰的方法。该荟萃分析的结果可为精神疾病的病因学提供重要见解。

注册

开放科学框架(OSF)预注册。2020年9月15日。OSF.IO/QS7XT。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e7d/7647535/d219c4858036/medi-99-e22875-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验