肠道菌群和血液代谢物与儿童肥胖的因果关系:一项孟德尔随机研究。

IF 3.1 3区 医学 Q1 PEDIATRICS
Ji-Gan Wang, Xiu-Hua Pan, Yan Li
{"title":"肠道菌群和血液代谢物与儿童肥胖的因果关系:一项孟德尔随机研究。","authors":"Ji-Gan Wang, Xiu-Hua Pan, Yan Li","doi":"10.1038/s41390-025-04414-1","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>This study aims to explore the causal relationship between gut microbiota and childhood obesity and to assess the potential mediating role of blood metabolites in this relationship.</p><p><strong>Methods: </strong>This study covering 473 gut microbiota and 1400 metabolites. The bidirectional two-sample Mendelian Randomization method is employed, with Inverse Variance Weighted as the main statistical approach, to assess the causal relationships between gut microbiota, metabolites and Childhood Obesity.</p><p><strong>Results: </strong>The study found significant causal associations between 12 types of gut microbiota and childhood obesity, with 7 microbiota showing a negative correlation and 5 acting as risk factors for obesity. Bacillaceae A showed the strongest association with childhood obesity (OR = 0.0481, P = 0.0126), while Eubacterium Q was identified as a major risk bacterium for obesity (OR = 5.4330, P = 0.0452). Additionally, 18 metabolites were found to be associated with childhood obesity, with 6-bromotryptophan being the strongest negatively correlated metabolite (OR = 0.5680, P = 0.00023) and methylsuccinate being the strongest positively correlated risk metabolite (OR = 1.6987, P = 0.0383). Mediation analysis identified 10 significant pathways, highlighting Adrenate (22:4n6) as a mediator for the gut microbiota UBA2922 sp900313925 in promoting childhood obesity (mediation effect: 0.106, mediation proportion: 10.94%), and X-12830 as a mediator for K10 sp001941205 in inhibiting childhood obesity (mediation effect: -0.0772, mediation proportion: 13.68%).</p><p><strong>Conclusion: </strong>This study provides novel evidence of the causal roles of gut microbiota and blood metabolites in childhood obesity. The identification of key metabolites mediating the effects of gut microbiota on obesity risk offers potential targets for future interventions and therapeutic strategies.</p><p><strong>Impact: </strong>Analysis revealed 12 gut microbiota causally related to childhood obesity, with seven negatively correlated and five identified as risk factors. Bacillaceae A (protective) and Eubacterium Q (risk) were notably associated. Among 1400 metabolites studied, 18 showed causal relationships with obesity, notably 6-bromotryptophan (protective) and methylsuccinate (risk factor). Mediation analysis identified 10 significant causal pairings between gut microbiota and blood metabolites, with Adrenate (22:4n6) mediating the promotion of childhood obesity by UBA2922 sp900313925, and X-12830 mediating the inhibition of childhood obesity by K10 sp001941205.</p>","PeriodicalId":19829,"journal":{"name":"Pediatric Research","volume":" ","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Causal relationship between gut microbiota and blood metabolites with childhood Obesity: a Mendelian randomization study.\",\"authors\":\"Ji-Gan Wang, Xiu-Hua Pan, Yan Li\",\"doi\":\"10.1038/s41390-025-04414-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>This study aims to explore the causal relationship between gut microbiota and childhood obesity and to assess the potential mediating role of blood metabolites in this relationship.</p><p><strong>Methods: </strong>This study covering 473 gut microbiota and 1400 metabolites. The bidirectional two-sample Mendelian Randomization method is employed, with Inverse Variance Weighted as the main statistical approach, to assess the causal relationships between gut microbiota, metabolites and Childhood Obesity.</p><p><strong>Results: </strong>The study found significant causal associations between 12 types of gut microbiota and childhood obesity, with 7 microbiota showing a negative correlation and 5 acting as risk factors for obesity. Bacillaceae A showed the strongest association with childhood obesity (OR = 0.0481, P = 0.0126), while Eubacterium Q was identified as a major risk bacterium for obesity (OR = 5.4330, P = 0.0452). Additionally, 18 metabolites were found to be associated with childhood obesity, with 6-bromotryptophan being the strongest negatively correlated metabolite (OR = 0.5680, P = 0.00023) and methylsuccinate being the strongest positively correlated risk metabolite (OR = 1.6987, P = 0.0383). Mediation analysis identified 10 significant pathways, highlighting Adrenate (22:4n6) as a mediator for the gut microbiota UBA2922 sp900313925 in promoting childhood obesity (mediation effect: 0.106, mediation proportion: 10.94%), and X-12830 as a mediator for K10 sp001941205 in inhibiting childhood obesity (mediation effect: -0.0772, mediation proportion: 13.68%).</p><p><strong>Conclusion: </strong>This study provides novel evidence of the causal roles of gut microbiota and blood metabolites in childhood obesity. The identification of key metabolites mediating the effects of gut microbiota on obesity risk offers potential targets for future interventions and therapeutic strategies.</p><p><strong>Impact: </strong>Analysis revealed 12 gut microbiota causally related to childhood obesity, with seven negatively correlated and five identified as risk factors. Bacillaceae A (protective) and Eubacterium Q (risk) were notably associated. Among 1400 metabolites studied, 18 showed causal relationships with obesity, notably 6-bromotryptophan (protective) and methylsuccinate (risk factor). Mediation analysis identified 10 significant causal pairings between gut microbiota and blood metabolites, with Adrenate (22:4n6) mediating the promotion of childhood obesity by UBA2922 sp900313925, and X-12830 mediating the inhibition of childhood obesity by K10 sp001941205.</p>\",\"PeriodicalId\":19829,\"journal\":{\"name\":\"Pediatric Research\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pediatric Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s41390-025-04414-1\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PEDIATRICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pediatric Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41390-025-04414-1","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PEDIATRICS","Score":null,"Total":0}
引用次数: 0

摘要

背景:本研究旨在探讨肠道菌群与儿童肥胖之间的因果关系,并评估血液代谢物在这一关系中的潜在介导作用。方法:对473个肠道菌群和1400个代谢物进行研究。采用双向双样本孟德尔随机化方法,以逆方差加权为主要统计方法,评估肠道菌群、代谢物与儿童肥胖的因果关系。结果:研究发现12种肠道菌群与儿童肥胖存在显著的因果关系,其中7种呈负相关,5种是肥胖的危险因素。杆菌A与儿童肥胖的相关性最强(OR = 0.0481, P = 0.0126),而真杆菌Q是儿童肥胖的主要危险菌(OR = 5.4330, P = 0.0452)。此外,发现18种代谢物与儿童肥胖相关,其中6-溴色氨酸是负相关最强的代谢物(OR = 0.5680, P = 0.00023),甲基琥珀酸是正相关最强的代谢物(OR = 1.6987, P = 0.0383)。中介分析发现10条显著通路,其中肾上腺素(22:4n6)介导肠道菌群UBA2922 sp900313925促进儿童肥胖(中介效应:0.106,中介比例:10.94%),X-12830介导K10 sp001941205抑制儿童肥胖(中介效应:-0.0772,中介比例:13.68%)。结论:本研究为肠道菌群和血液代谢物在儿童肥胖中的因果作用提供了新的证据。鉴定介导肠道微生物群对肥胖风险影响的关键代谢物,为未来的干预和治疗策略提供了潜在的目标。影响:分析显示,12种肠道微生物群与儿童肥胖有因果关系,其中7种呈负相关,5种被确定为危险因素。A杆菌科(保护性)和真杆菌Q(风险)显著相关。在研究的1400种代谢物中,18种与肥胖有因果关系,特别是6-溴色氨酸(保护性)和甲基琥珀酸盐(危险因素)。介导分析发现肠道微生物群与血液代谢物之间存在10个显著的因果关系,其中肾上腺素(22:4n6)介导UBA2922 sp900313925促进儿童肥胖,X-12830介导K10 sp001941205抑制儿童肥胖。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Causal relationship between gut microbiota and blood metabolites with childhood Obesity: a Mendelian randomization study.

Background: This study aims to explore the causal relationship between gut microbiota and childhood obesity and to assess the potential mediating role of blood metabolites in this relationship.

Methods: This study covering 473 gut microbiota and 1400 metabolites. The bidirectional two-sample Mendelian Randomization method is employed, with Inverse Variance Weighted as the main statistical approach, to assess the causal relationships between gut microbiota, metabolites and Childhood Obesity.

Results: The study found significant causal associations between 12 types of gut microbiota and childhood obesity, with 7 microbiota showing a negative correlation and 5 acting as risk factors for obesity. Bacillaceae A showed the strongest association with childhood obesity (OR = 0.0481, P = 0.0126), while Eubacterium Q was identified as a major risk bacterium for obesity (OR = 5.4330, P = 0.0452). Additionally, 18 metabolites were found to be associated with childhood obesity, with 6-bromotryptophan being the strongest negatively correlated metabolite (OR = 0.5680, P = 0.00023) and methylsuccinate being the strongest positively correlated risk metabolite (OR = 1.6987, P = 0.0383). Mediation analysis identified 10 significant pathways, highlighting Adrenate (22:4n6) as a mediator for the gut microbiota UBA2922 sp900313925 in promoting childhood obesity (mediation effect: 0.106, mediation proportion: 10.94%), and X-12830 as a mediator for K10 sp001941205 in inhibiting childhood obesity (mediation effect: -0.0772, mediation proportion: 13.68%).

Conclusion: This study provides novel evidence of the causal roles of gut microbiota and blood metabolites in childhood obesity. The identification of key metabolites mediating the effects of gut microbiota on obesity risk offers potential targets for future interventions and therapeutic strategies.

Impact: Analysis revealed 12 gut microbiota causally related to childhood obesity, with seven negatively correlated and five identified as risk factors. Bacillaceae A (protective) and Eubacterium Q (risk) were notably associated. Among 1400 metabolites studied, 18 showed causal relationships with obesity, notably 6-bromotryptophan (protective) and methylsuccinate (risk factor). Mediation analysis identified 10 significant causal pairings between gut microbiota and blood metabolites, with Adrenate (22:4n6) mediating the promotion of childhood obesity by UBA2922 sp900313925, and X-12830 mediating the inhibition of childhood obesity by K10 sp001941205.

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
Pediatric Research
Pediatric Research 医学-小儿科
CiteScore
6.80
自引率
5.60%
发文量
473
审稿时长
3-8 weeks
期刊介绍: Pediatric Research publishes original papers, invited reviews, and commentaries on the etiologies of children''s diseases and disorders of development, extending from molecular biology to epidemiology. Use of model organisms and in vitro techniques relevant to developmental biology and medicine are acceptable, as are translational human studies
×
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:604180095
Book学术官方微信