Mendelian randomization analyses reveal causal relationships between brain structural connectivity and risk of polycystic ovary syndrome.

IF 2 4区 医学 Q2 OBSTETRICS & GYNECOLOGY
Huimin Niu, Lian Xia, Xinyi Zhang, Chuning Lin, Yao Ge, Yuan Chen, Feng Sun, Feng Jiang, Chuyan Wu
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引用次数: 0

Abstract

Background: It is well known that brain structure is affected by sex hormones, and polycystic ovary syndrome(PCOS) is often accompanied by abnormal hormone production. However, the relationship between brain structural connectivity and polycystic ovary syndrome is currently unknown.

Methods: Two-sample mendelian randomization (2SMR) was used by searching an appropriate European population genome-wide association studies (GWAS) database of the structural connections of the brain and polycystic ovary syndrome from the Ieu Open GWAS Project database. 206 related brain structural connectivity single-nucleotide polymorphisms (SNPs) were screened as instrumental variables (IVs). Subsequently, we employ various statistical methods including inverse variance weighting (IVW), weighted median method (WME), MR-Egger regression, Simple mode, and Weighted mode to investigate the causal link between the structural connections of the brain and polycystic ovary syndrome.

Results: According to the IVW results, it was confirmed that the white matter structural connections between the right hemisphere default mode network and the amygdala are associated with the occurrence of PCOS (odds ratio [OR] = 1.559; 95% confidence interval [CI] = 1.028-2.36; P = 0.037). The white matter structural connectivity between the right-hemisphere somatomotor network and the right-hemisphere limbic network was also linked to the development of PCOS (OR = 1.800; 95% CI = 1.077-3.009; P = 0.025). Additionally, the white matter structural connections from the left hemisphere limbic network to the right hemisphere control network, from the left hemisphere limbic network to the thalamus, from the left hemisphere somatomotor network to the left hemisphere control network, and from the right hemisphere limbic network to the thalamus are negatively correlated with the development of PCOS. Leave-one-out sensitivity analyses and heterogeneity tests were performed, and no horizontal pleiotropy was found.

Conclusion: Our results point to a causal relationship between the development of PCOS and the white matter structural connectivity from the right hemisphere default mode network to the amygdala, as well as from the right hemisphere somatomotor network to the right hemisphere limbic network.

孟德尔随机化分析揭示了大脑结构连通性与多囊卵巢综合征风险之间的因果关系。
背景:性激素对大脑结构的影响是众所周知的,多囊卵巢综合征(PCOS)常伴有激素分泌异常。然而,大脑结构连通性与多囊卵巢综合征之间的关系目前尚不清楚。方法:采用双样本孟德尔随机化(2SMR)方法,从eeu Open GWAS项目数据库中检索合适的欧洲人群全基因组关联研究(GWAS)数据库,研究大脑与多囊卵巢综合征的结构联系。筛选206个相关脑结构连通性单核苷酸多态性(snp)作为工具变量(IVs)。随后,我们采用反方差加权(IVW)、加权中位数法(WME)、MR-Egger回归、简单模型、加权模型等多种统计方法,探讨脑结构连接与多囊卵巢综合征之间的因果关系。结果:IVW结果证实,右半球默认模式网络与杏仁核之间的白质结构连接与PCOS的发生有关(比值比[OR] = 1.559;95%置信区间[CI] = 1.028-2.36;P = 0.037)。右半球躯体运动网络和右半球边缘网络之间的白质结构连通性也与PCOS的发展有关(OR = 1.800;95% ci = 1.077-3.009;P = 0.025)。此外,从左半球边缘网络到右半球控制网络、从左半球边缘网络到丘脑、从左半球躯体运动网络到左半球控制网络、从右半球边缘网络到丘脑的白质结构连接与多囊卵巢综合征的发生呈负相关。进行了留一敏感性分析和异质性检验,未发现水平多效性。结论:多囊卵巢综合征的发生与右半球默认模式网络到杏仁核、右半球躯体运动网络到右半球边缘网络的白质结构连接存在因果关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.20
自引率
4.80%
发文量
44
审稿时长
6-12 weeks
期刊介绍: This journal covers the most active and promising areas of current research in gynecology and obstetrics. Invited, well-referenced reviews by noted experts keep readers in touch with the general framework and direction of international study. Original papers report selected experimental and clinical investigations in all fields related to gynecology, obstetrics and reproduction. Short communications are published to allow immediate discussion of new data. The international and interdisciplinary character of this periodical provides an avenue to less accessible sources and to worldwide research for investigators and practitioners.
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