一项全代谢组孟德尔随机研究确定了生殖系统疾病(包括原发性卵巢功能不全、多囊卵巢综合征和精子异常)的因果循环代谢物的优先次序。

IF 3.8 3区 医学 Q1 REPRODUCTIVE BIOLOGY
Shuang Chen, Shihao Sun, Mingshu Cai, Zhaokai Zhou, Yuan Ma, Zihan Zhou, Fang Wang, Jinhao Liu, Wenyan Song, Yu Liu, Kai Huang, Qingling Yang, Yihong Guo
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引用次数: 0

摘要

背景:越来越多的研究凸显了循环代谢组学在生殖系统疾病病因学中的重要作用。然而,由基因决定的代谢物(GDMs)与生殖系统疾病(包括原发性卵巢功能不全(POI)、多囊卵巢综合征(PCOS)和精子异常(AS))之间的因果关系仍有待彻底澄清:方法:利用目前最全面的代谢组学全基因组关联研究(GWAS)数据,进行了系统的双样本孟德尔随机化(MR)分析,揭示了 1091 种血液代谢物和 309 种代谢物比率与生殖系统疾病之间的因果关系。反方差加权法(IVW)是主要的分析方法,同时还采用了多种有效的 MR 方法作为补充分析,包括 MR-Egger、加权中位数、受限最大似然法(cML-MA)、污染混合法、稳健调整特征得分法(MR-RAPS)和去偏反方差加权法。通过 MR-Egger 截距和 Cochran's Q 统计分析评估异质性和多向性。通过径向 MR 和 MR-PRESSO 方法检测异常值。还进行了外部复制和代谢途径分析:结果:发现了 63 种 GDM 与 POI 的潜在因果关系,并强调了 5 种与 POI 有密切因果关系的代谢物。结果:发现了 63 种 GDMs 与 POI 的潜在因果关系,并强调了 5 种代谢物与 POI 有密切的因果关系,同时确定了 2 条与 POI 发病机制相关的代谢途径。发现了 70 种 GDM 对多囊卵巢综合症的暗示性因果效应,其中 7 种代谢物与多囊卵巢综合症风险的升高有很强的因果关系。与多囊卵巢综合症机制相关的代谢途径有四条。在强直性脊柱炎方面,有 64 个 GDMs 被确定为潜在的预测性生物标志物,其中有两个代谢物与强直性脊柱炎有很强的因果关系。在强直性脊柱炎机制下,还确定了三条途径。我们还进行了多次评估,以进一步确认因果推论的可靠性和稳健性:通过广泛评估循环 GDMs 对生殖系统疾病的因果影响,我们的研究强调了代谢组学在生殖系统疾病中错综复杂的关键作用,为从代谢角度制定临床策略奠定了理论基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A metabolome-wide Mendelian randomization study prioritizes causal circulating metabolites for reproductive disorders including primary ovarian insufficiency, polycystic ovary syndrome, and abnormal spermatozoa.

Background: Accumulating studies have highlighted the significant role of circulating metabolomics in the etiology of reproductive system disorders. However, the causal effects between genetically determined metabolites (GDMs) and reproductive diseases, including primary ovarian insufficiency (POI), polycystic ovary syndrome (PCOS), and abnormal spermatozoa (AS), still await thorough clarification.

Methods: With the currently most comprehensive genome-wide association studies (GWAS) data of metabolomics, systematic two-sample Mendelian randomization (MR) analyses were conducted to disclose causal associations between 1,091 blood metabolites and 309 metabolite ratios with reproductive disorders. The inverse-variance weighted (IVW) method served as the primary analysis approach, and multiple effective MR methods were employed as complementary analyses including MR-Egger, weighted median, constrained maximum likelihood (cML-MA), contamination mixture method, robust adjusted profile score (MR-RAPS), and debiased inverse-variance weighted method. Heterogeneity and pleiotropy were assessed via MR-Egger intercept and Cochran's Q statistical analysis. Outliers were detected by Radial MR and MR-PRESSO methods. External replication and metabolic pathway analysis were also conducted.

Results: Potential causal associations of 63 GDMs with POI were unearthed, and five metabolites with strong causal links to POI were emphasized. Two metabolic pathways related to the pathogenesis of POI were pinpointed. Suggestive causal effects of 70 GDMs on PCOS were detected, among which 7 metabolites stood out for strong causality with elevated PCOS risk. Four metabolic pathways associated with PCOS mechanisms were recognized. For AS, 64 GDMs as potential predictive biomarkers were identified, particularly highlighting two metabolites for their strong causal connections with AS. Three pathways underneath the AS mechanism were identified. Multiple assessments were conducted to further confirm the reliability and robustness of our causal inferences.

Conclusion: By extensively assessing the causal implications of circulating GDMs on reproductive system disorders, our study underscores the intricate and pivotal role of metabolomics in reproductive ill-health, laying a theoretical foundation for clinical strategies from metabolic insights.

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来源期刊
Journal of Ovarian Research
Journal of Ovarian Research REPRODUCTIVE BIOLOGY-
CiteScore
6.20
自引率
2.50%
发文量
125
审稿时长
>12 weeks
期刊介绍: Journal of Ovarian Research is an open access, peer reviewed, online journal that aims to provide a forum for high-quality basic and clinical research on ovarian function, abnormalities, and cancer. The journal focuses on research that provides new insights into ovarian functions as well as prevention and treatment of diseases afflicting the organ. Topical areas include, but are not restricted to: Ovary development, hormone secretion and regulation Follicle growth and ovulation Infertility and Polycystic ovarian syndrome Regulation of pituitary and other biological functions by ovarian hormones Ovarian cancer, its prevention, diagnosis and treatment Drug development and screening Role of stem cells in ovary development and function.
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