Causal relationships exist between polycystic ovary syndrome and adverse pregnancy and perinatal outcomes: a Mendelian randomization study

被引:3
作者
Ma, Yuanlin [1 ,2 ,3 ]
Cai, Jiahao [4 ]
Liu, Lok-Wan [1 ,2 ,3 ]
Wen, Tianrui [1 ,2 ,3 ]
Huang, Weina [1 ,2 ,3 ]
Hou, Wenhui [1 ,5 ]
Wei, Zixin [6 ]
Xu, Yan [1 ,2 ,3 ]
Xu, Yanwen [1 ,2 ,3 ]
Wang, Yizi [1 ,2 ,3 ]
Mai, Qingyun [1 ,2 ,3 ]
机构
[1] Sun Yat Sen Univ, Affiliated Hosp 1, Reprod Med Ctr, Guangzhou, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, Affiliated Hosp 1, Key Lab Reprod Med Guangdong Prov, Guangzhou, Guangdong, Peoples R China
[3] Sun Yat Sen Univ, Affiliated Hosp 1, Guangdong Prov Clin Res Ctr Obstetr & Gynecol Dis, Guangzhou, Guangdong, Peoples R China
[4] Guangzhou Med Univ, Guangzhou Women & Childrens Med Ctr, Dept Neurol, Guangzhou, Guangdong, Peoples R China
[5] Zhengzhou Univ, Reprod Med Ctr, Affiliated Hosp 1, Zhengzhou, Henan, Peoples R China
[6] Sun Yat Sen Univ, Sun Yat Sen Mem Hosp, Dept Pulm & Crit Care Med, Guangzhou, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
polycystic ovary syndrome; adverse pregnancy and perinatal outcomes; genetic role; Mendelian randomization; hypertensive disorders of pregnancy; gestational hypertension; CRITERIA; POWER;
D O I
10.3389/fendo.2024.1327849
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction: Previous observational studies have shown that polycystic ovary syndrome (PCOS) was associated with adverse pregnancy and perinatal outcomes. However, it remains controversial whether PCOS is an essential risk factor for these adverse pregnancy and perinatal outcomes. We aimed to use instrumental variables in a two-sample Mendelian randomization (MR) study to determine causality between PCOS and adverse pregnancy and perinatal outcomes. Materials and methods: Summary statistics were extracted from a recent genome-wide association study (GWAS) meta-analysis conducted in PCOS, which included 10,074 cases and 103,164 controls of European ancestry. Data on Adverse pregnancy and perinatal outcomes were summarized from the FinnGen database of European ancestry, which included more than 180,000 samples. The inverse variance weighted (IVW) method of MR was applied for the main outcome. To assess heterogeneity and pleiotropy, we conducted sensitivity analyses, including leave-one-out analysis, weighted median, MR-PRESSO (Mendelian Randomization Pleiotropy RESidual Sum and Outlier), and MR-Egger regression. Results: Two-sample MR analysis with the IVW method suggested that PCOS exerted causal effects on the risk of hypertensive disorders of pregnancy [odds ratio (OR) 1.170, 95% confidence interval (CI) 1.051-1.302, p = 0.004], in particular gestational hypertension (OR 1.083, 95% CI 1.007-1.164, p = 0.031), but not other pregnancy and perinatal diseases (all p > 0.05). Sensitivity analyses demonstrated pleiotropy only in pre-eclampsia or eclampsia (p = 0.0004), but not in other pregnancy and perinatal diseases (all p > 0.05). The results remained consistent after excluding two outliers (all p > 0.05). Conclusions: We confirmed a causal relationship between PCOS and hypertensive disorders of pregnancy, in particular gestational hypertension, but no association with any other adverse pregnancy or perinatal outcome. Therefore, we suggest that women with PCOS who are pregnant should have their blood pressure closely monitored.
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页数:8
相关论文
共 31 条
[1]   Criteria for defining polycystic ovary syndrome as a predominantly hyperandrogenic syndrome: An Androgen Excess Society guideline [J].
Azziz, Ricardo ;
Carmina, Enrico ;
Dewailly, Didier ;
Diamanti-Kandarakis, Evanthia ;
Escobar-Morreale, Hector F. ;
Futterweit, Walter ;
Janssen, Onno E. ;
Legro, Richard S. ;
Norman, Robert J. ;
Taylor, Ann E. ;
Witchel, Selma F. .
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 2006, 91 (11) :4237-4245
[2]   Recommendations for epidemiologic and phenotypic research in polycystic ovary syndrome: an androgen excess and PCOS society resource [J].
Azziz, Ricardo ;
Kintziger, Kristina ;
Li, Rong ;
Laven, Joop ;
Morin-Papunen, Laure ;
Merkin, Sharon Stein ;
Teede, Helena ;
Yildiz, Bulent O. .
HUMAN REPRODUCTION, 2019, 34 (11) :2254-2265
[3]   Association between maternal polycystic ovarian syndrome undergoing assisted reproductive technology and pregnancy complications and neonatal outcomes: a systematic review and meta-analysis [J].
Ban, Miaomiao ;
Sun, Yifei ;
Chen, Xiaojing ;
Zhou, Xiaoqian ;
Zhang, Yiyuan ;
Cui, Linlin .
JOURNAL OF OVARIAN RESEARCH, 2024, 17 (01)
[4]   Calculating statistical power in Mendelian randomization studies [J].
Brion, Marie-Jo A. ;
Shakhbazov, Konstantin ;
Visscher, Peter M. .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2013, 42 (05) :1497-1501
[5]   Mendelian randomization with a binary exposure variable: interpretation and presentation of causal estimates [J].
Burgess, Stephen ;
Labrecque, Jeremy A. .
EUROPEAN JOURNAL OF EPIDEMIOLOGY, 2018, 33 (10) :947-952
[6]  
Burgess S, 2017, EUR J EPIDEMIOL, V32, P377, DOI 10.1007/s10654-017-0255-x
[7]   Bias due to participant overlap in two-sample Mendelian randomization [J].
Burgess, Stephen ;
Davies, Neil M. ;
Thompson, Simon G. .
GENETIC EPIDEMIOLOGY, 2016, 40 (07) :597-608
[8]   Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors [J].
Burgess, Stephen ;
Scott, Robert A. ;
Timpson, Nicholas J. ;
Smith, George Davey ;
Thompson, Simon G. .
EUROPEAN JOURNAL OF EPIDEMIOLOGY, 2015, 30 (07) :543-552
[9]  
Carmina E, 2004, Minerva Ginecol, V56, P1
[10]   Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome [J].
Chang, J ;
Azziz, R ;
Legro, R ;
Dewailly, D ;
Franks, S ;
Tarlatzis, BC ;
Fauser, B ;
Balen, A ;
Bouchard, P ;
Dahlgren, E ;
Devoto, L ;
Diamanti, E ;
Dunaif, A ;
Filicori, M ;
Homburg, R ;
Ibanez, L ;
Laven, J ;
Magoffin, D ;
Nestler, J ;
Norman, RJ ;
Pasquali, R ;
Pugeat, M ;
Strauss, J ;
Tan, S ;
Taylor, A ;
Wild, R ;
Wild, S ;
Ehrmann, D ;
Lobo, R .
FERTILITY AND STERILITY, 2004, 81 (01) :19-25