孕前肥胖特征与妊娠糖尿病之间因果关系的全局调查:双样本孟德尔随机分析。

IF 2.6 3区 医学 Q2 OBSTETRICS & GYNECOLOGY
Reproductive Sciences Pub Date : 2025-02-01 Epub Date: 2024-05-24 DOI:10.1007/s43032-024-01577-w
Mengjin Hu, Xiaosong Li, Jiangong Wu, Boyu Li, Jinggang Xia, Yuejin Yang, Chunlin Yin
{"title":"孕前肥胖特征与妊娠糖尿病之间因果关系的全局调查:双样本孟德尔随机分析。","authors":"Mengjin Hu, Xiaosong Li, Jiangong Wu, Boyu Li, Jinggang Xia, Yuejin Yang, Chunlin Yin","doi":"10.1007/s43032-024-01577-w","DOIUrl":null,"url":null,"abstract":"<p><p>Pre-pregnancy obesity was associated with gestational diabetes in observational studies, but whether this relationship is causal remains to be determined. To evaluate whether pre-pregnancy obesity traits causally affect gestational diabetes risk, a two-sample Mendelian randomization (MR) analysis was performed utilizing summary-level statistics from published genome-wide association studies (GWAS). Obesity-related traits included body mass index (BMI), overweight, obesity, obesity class 1, obesity class 2, obesity class 3, childhood obesity, waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), percent liver fat, visceral adipose tissue volume, abdominal subcutaneous adipose tissue volume. Effect estimates were evaluated using the inverse-variance weighting method. Weighted median, MR-Egger, simple mode, and weighted mode were performed as sensitivity analyses. Genetically predicted pre-pregnancy BMI [odds ratio (OR) = 1.68; 95% confidence interval (CI): 1.45-1.95; P = 9.13 × 10<sup>-12</sup>], overweight (OR = 1.49; 95% CI: 1.21-1.85; P = 2.06 × 10<sup>-4</sup>), obesity (OR = 1.25; 95% CI: 1.18-1.33; P = 8.01 × 10<sup>-13</sup>), obesity class 1 (OR = 1.31; 95% CI: 1.17-1.46; P = 1.49 × 10<sup>-6</sup>), obesity class 2 (OR = 1.26; 95% CI: 1.16-1.37; P = 5.23 × 10<sup>-8</sup>), childhood obesity (OR = 1.33; 95% CI: 1.23-1.44; P = 4.06 × 10<sup>-12</sup>), and WHR (OR = 2.35; 95% CI: 1.44-3.83; P = 5.89 × 10<sup>-4</sup>) were associated with increased risk of gestational diabetes. No significant association was observed with obesity class 3, WC, HC, percent liver fat, visceral adipose tissue volume, or abdominal subcutaneous adipose tissue volume. Similar results were observed in sensitivity analyses. Therefore, genetically predicted pre-pregnancy obesity traits may increase the risk of gestational diabetes. Weight control before pregnancy may be beneficial to prevent gestational diabetes.</p>","PeriodicalId":20920,"journal":{"name":"Reproductive Sciences","volume":" ","pages":"395-403"},"PeriodicalIF":2.6000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Phenome-Wide Investigation of the Causal Associations Between Pre-Pregnancy Obesity Traits and Gestational Diabetes: A Two-Sample Mendelian Randomization Analyses.\",\"authors\":\"Mengjin Hu, Xiaosong Li, Jiangong Wu, Boyu Li, Jinggang Xia, Yuejin Yang, Chunlin Yin\",\"doi\":\"10.1007/s43032-024-01577-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Pre-pregnancy obesity was associated with gestational diabetes in observational studies, but whether this relationship is causal remains to be determined. To evaluate whether pre-pregnancy obesity traits causally affect gestational diabetes risk, a two-sample Mendelian randomization (MR) analysis was performed utilizing summary-level statistics from published genome-wide association studies (GWAS). Obesity-related traits included body mass index (BMI), overweight, obesity, obesity class 1, obesity class 2, obesity class 3, childhood obesity, waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), percent liver fat, visceral adipose tissue volume, abdominal subcutaneous adipose tissue volume. Effect estimates were evaluated using the inverse-variance weighting method. Weighted median, MR-Egger, simple mode, and weighted mode were performed as sensitivity analyses. Genetically predicted pre-pregnancy BMI [odds ratio (OR) = 1.68; 95% confidence interval (CI): 1.45-1.95; P = 9.13 × 10<sup>-12</sup>], overweight (OR = 1.49; 95% CI: 1.21-1.85; P = 2.06 × 10<sup>-4</sup>), obesity (OR = 1.25; 95% CI: 1.18-1.33; P = 8.01 × 10<sup>-13</sup>), obesity class 1 (OR = 1.31; 95% CI: 1.17-1.46; P = 1.49 × 10<sup>-6</sup>), obesity class 2 (OR = 1.26; 95% CI: 1.16-1.37; P = 5.23 × 10<sup>-8</sup>), childhood obesity (OR = 1.33; 95% CI: 1.23-1.44; P = 4.06 × 10<sup>-12</sup>), and WHR (OR = 2.35; 95% CI: 1.44-3.83; P = 5.89 × 10<sup>-4</sup>) were associated with increased risk of gestational diabetes. No significant association was observed with obesity class 3, WC, HC, percent liver fat, visceral adipose tissue volume, or abdominal subcutaneous adipose tissue volume. Similar results were observed in sensitivity analyses. Therefore, genetically predicted pre-pregnancy obesity traits may increase the risk of gestational diabetes. Weight control before pregnancy may be beneficial to prevent gestational diabetes.</p>\",\"PeriodicalId\":20920,\"journal\":{\"name\":\"Reproductive Sciences\",\"volume\":\" \",\"pages\":\"395-403\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Reproductive Sciences\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s43032-024-01577-w\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/5/24 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"OBSTETRICS & GYNECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reproductive Sciences","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s43032-024-01577-w","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/5/24 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

在观察性研究中,孕前肥胖与妊娠糖尿病有关,但这种关系是否是因果关系仍有待确定。为了评估孕前肥胖特征是否会对妊娠糖尿病风险产生因果关系,我们利用已发表的全基因组关联研究(GWAS)的汇总级统计数据,进行了双样本孟德尔随机化(MR)分析。肥胖相关特征包括体重指数 (BMI)、超重、肥胖、肥胖 1 级、肥胖 2 级、肥胖 3 级、儿童肥胖、腰围 (WC)、臀围 (HC)、腰臀比 (WHR)、肝脏脂肪百分比、内脏脂肪组织体积、腹部皮下脂肪组织体积。采用逆方差加权法评估效果估计值。作为敏感性分析,进行了加权中位数、MR-Egger、简单模式和加权模式分析。遗传预测的孕前体重指数(BMI)[几率比(OR)= 1.68;95% 置信区间(CI):1.45-1.95;P = 9.13 × 10-12]、超重(OR = 1.49;95% CI:1.21-1.85;P = 2.06 × 10-4)、肥胖(OR = 1.25;95% CI:1.18-1.33;P = 8.01 × 10-13)、肥胖等级 1(OR = 1.31;95% CI:1.17-1.46;P = 1.49 × 10-6)、肥胖 2 级(OR = 1.26;95% CI:1.16-1.37;P = 5.23 × 10-8)、儿童肥胖(OR = 1.33;95% CI:1.23-1.44;P = 4.06 × 10-12)和 WHR(OR = 2.35;95% CI:1.44-3.83;P = 5.89 × 10-4)与妊娠糖尿病风险增加有关。与肥胖等级 3、WC、HC、肝脏脂肪百分比、内脏脂肪组织体积或腹部皮下脂肪组织体积无明显关系。在敏感性分析中也观察到了类似的结果。因此,遗传预测的孕前肥胖特征可能会增加妊娠糖尿病的风险。孕前控制体重可能有利于预防妊娠糖尿病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Phenome-Wide Investigation of the Causal Associations Between Pre-Pregnancy Obesity Traits and Gestational Diabetes: A Two-Sample Mendelian Randomization Analyses.

Phenome-Wide Investigation of the Causal Associations Between Pre-Pregnancy Obesity Traits and Gestational Diabetes: A Two-Sample Mendelian Randomization Analyses.

Pre-pregnancy obesity was associated with gestational diabetes in observational studies, but whether this relationship is causal remains to be determined. To evaluate whether pre-pregnancy obesity traits causally affect gestational diabetes risk, a two-sample Mendelian randomization (MR) analysis was performed utilizing summary-level statistics from published genome-wide association studies (GWAS). Obesity-related traits included body mass index (BMI), overweight, obesity, obesity class 1, obesity class 2, obesity class 3, childhood obesity, waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), percent liver fat, visceral adipose tissue volume, abdominal subcutaneous adipose tissue volume. Effect estimates were evaluated using the inverse-variance weighting method. Weighted median, MR-Egger, simple mode, and weighted mode were performed as sensitivity analyses. Genetically predicted pre-pregnancy BMI [odds ratio (OR) = 1.68; 95% confidence interval (CI): 1.45-1.95; P = 9.13 × 10-12], overweight (OR = 1.49; 95% CI: 1.21-1.85; P = 2.06 × 10-4), obesity (OR = 1.25; 95% CI: 1.18-1.33; P = 8.01 × 10-13), obesity class 1 (OR = 1.31; 95% CI: 1.17-1.46; P = 1.49 × 10-6), obesity class 2 (OR = 1.26; 95% CI: 1.16-1.37; P = 5.23 × 10-8), childhood obesity (OR = 1.33; 95% CI: 1.23-1.44; P = 4.06 × 10-12), and WHR (OR = 2.35; 95% CI: 1.44-3.83; P = 5.89 × 10-4) were associated with increased risk of gestational diabetes. No significant association was observed with obesity class 3, WC, HC, percent liver fat, visceral adipose tissue volume, or abdominal subcutaneous adipose tissue volume. Similar results were observed in sensitivity analyses. Therefore, genetically predicted pre-pregnancy obesity traits may increase the risk of gestational diabetes. Weight control before pregnancy may be beneficial to prevent gestational diabetes.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Reproductive Sciences
Reproductive Sciences 医学-妇产科学
CiteScore
5.50
自引率
3.40%
发文量
322
审稿时长
4-8 weeks
期刊介绍: Reproductive Sciences (RS) is a peer-reviewed, monthly journal publishing original research and reviews in obstetrics and gynecology. RS is multi-disciplinary and includes research in basic reproductive biology and medicine, maternal-fetal medicine, obstetrics, gynecology, reproductive endocrinology, urogynecology, fertility/infertility, embryology, gynecologic/reproductive oncology, developmental biology, stem cell research, molecular/cellular biology and other related fields.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信