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Dissecting the causal effect between gut microbiota, DHA, and urate metabolism: A large-scale bidirectional Mendelian randomization

OBJECTIVES: Our aim was to investigate the interactive causal effects between gut microbiota and host urate metabolism and explore the underlying mechanism using genetic methods. METHODS: We extracted summary statistics from the abundance of 211 microbiota taxa from the MiBioGen (N =18,340), 205 mic...

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Autores principales: Hou, Tianzhichao, Dai, Huajie, Wang, Qi, Hou, Yanan, Zhang, Xiaoyun, Lin, Hong, Wang, Shuangyuan, Li, Mian, Zhao, Zhiyun, Lu, Jieli, Xu, Yu, Chen, Yuhong, Gu, Yanyun, Zheng, Jie, Wang, Tiange, Wang, Weiqing, Bi, Yufang, Ning, Guang, Xu, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097983/
https://www.ncbi.nlm.nih.gov/pubmed/37063923
http://dx.doi.org/10.3389/fimmu.2023.1148591
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author Hou, Tianzhichao
Dai, Huajie
Wang, Qi
Hou, Yanan
Zhang, Xiaoyun
Lin, Hong
Wang, Shuangyuan
Li, Mian
Zhao, Zhiyun
Lu, Jieli
Xu, Yu
Chen, Yuhong
Gu, Yanyun
Zheng, Jie
Wang, Tiange
Wang, Weiqing
Bi, Yufang
Ning, Guang
Xu, Min
author_facet Hou, Tianzhichao
Dai, Huajie
Wang, Qi
Hou, Yanan
Zhang, Xiaoyun
Lin, Hong
Wang, Shuangyuan
Li, Mian
Zhao, Zhiyun
Lu, Jieli
Xu, Yu
Chen, Yuhong
Gu, Yanyun
Zheng, Jie
Wang, Tiange
Wang, Weiqing
Bi, Yufang
Ning, Guang
Xu, Min
author_sort Hou, Tianzhichao
collection PubMed
description OBJECTIVES: Our aim was to investigate the interactive causal effects between gut microbiota and host urate metabolism and explore the underlying mechanism using genetic methods. METHODS: We extracted summary statistics from the abundance of 211 microbiota taxa from the MiBioGen (N =18,340), 205 microbiota metabolism pathways from the Dutch Microbiome Project (N =7738), gout from the Global Biobank Meta-analysis Initiative (N =1,448,128), urate from CKDGen (N =288,649), and replication datasets from the Global Urate Genetics Consortium (N gout =69,374; N urate =110,347). We used linkage disequilibrium score regression and bidirectional Mendelian randomization (MR) to detect genetic causality between microbiota and gout/urate. Mediation MR and colocalization were performed to investigate potential mediators in the association between microbiota and urate metabolism. RESULTS: Two taxa had a common causal effect on both gout and urate, whereas the Victivallaceae family was replicable. Six taxa were commonly affected by both gout and urate, whereas the Ruminococcus gnavus group genus was replicable. Genetic correlation supported significant results in MR. Two microbiota metabolic pathways were commonly affected by gout and urate. Mediation analysis indicated that the Bifidobacteriales order and Bifidobacteriaceae family had protective effects on urate mediated by increasing docosahexaenoic acid. These two bacteria shared a common causal variant rs182549 with both docosahexaenoic acid and urate, which was located within MCM6/LCT locus. CONCLUSIONS: Gut microbiota and host urate metabolism had a bidirectional causal association, implicating the critical role of host-microbiota crosstalk in hyperuricemic patients. Changes in gut microbiota can not only ameliorate host urate metabolism but also become a foreboding indicator of urate metabolic diseases.
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spelling pubmed-100979832023-04-14 Dissecting the causal effect between gut microbiota, DHA, and urate metabolism: A large-scale bidirectional Mendelian randomization Hou, Tianzhichao Dai, Huajie Wang, Qi Hou, Yanan Zhang, Xiaoyun Lin, Hong Wang, Shuangyuan Li, Mian Zhao, Zhiyun Lu, Jieli Xu, Yu Chen, Yuhong Gu, Yanyun Zheng, Jie Wang, Tiange Wang, Weiqing Bi, Yufang Ning, Guang Xu, Min Front Immunol Immunology OBJECTIVES: Our aim was to investigate the interactive causal effects between gut microbiota and host urate metabolism and explore the underlying mechanism using genetic methods. METHODS: We extracted summary statistics from the abundance of 211 microbiota taxa from the MiBioGen (N =18,340), 205 microbiota metabolism pathways from the Dutch Microbiome Project (N =7738), gout from the Global Biobank Meta-analysis Initiative (N =1,448,128), urate from CKDGen (N =288,649), and replication datasets from the Global Urate Genetics Consortium (N gout =69,374; N urate =110,347). We used linkage disequilibrium score regression and bidirectional Mendelian randomization (MR) to detect genetic causality between microbiota and gout/urate. Mediation MR and colocalization were performed to investigate potential mediators in the association between microbiota and urate metabolism. RESULTS: Two taxa had a common causal effect on both gout and urate, whereas the Victivallaceae family was replicable. Six taxa were commonly affected by both gout and urate, whereas the Ruminococcus gnavus group genus was replicable. Genetic correlation supported significant results in MR. Two microbiota metabolic pathways were commonly affected by gout and urate. Mediation analysis indicated that the Bifidobacteriales order and Bifidobacteriaceae family had protective effects on urate mediated by increasing docosahexaenoic acid. These two bacteria shared a common causal variant rs182549 with both docosahexaenoic acid and urate, which was located within MCM6/LCT locus. CONCLUSIONS: Gut microbiota and host urate metabolism had a bidirectional causal association, implicating the critical role of host-microbiota crosstalk in hyperuricemic patients. Changes in gut microbiota can not only ameliorate host urate metabolism but also become a foreboding indicator of urate metabolic diseases. Frontiers Media S.A. 2023-03-30 /pmc/articles/PMC10097983/ /pubmed/37063923 http://dx.doi.org/10.3389/fimmu.2023.1148591 Text en Copyright © 2023 Hou, Dai, Wang, Hou, Zhang, Lin, Wang, Li, Zhao, Lu, Xu, Chen, Gu, Zheng, Wang, Wang, Bi, Ning and Xu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Hou, Tianzhichao
Dai, Huajie
Wang, Qi
Hou, Yanan
Zhang, Xiaoyun
Lin, Hong
Wang, Shuangyuan
Li, Mian
Zhao, Zhiyun
Lu, Jieli
Xu, Yu
Chen, Yuhong
Gu, Yanyun
Zheng, Jie
Wang, Tiange
Wang, Weiqing
Bi, Yufang
Ning, Guang
Xu, Min
Dissecting the causal effect between gut microbiota, DHA, and urate metabolism: A large-scale bidirectional Mendelian randomization
title Dissecting the causal effect between gut microbiota, DHA, and urate metabolism: A large-scale bidirectional Mendelian randomization
title_full Dissecting the causal effect between gut microbiota, DHA, and urate metabolism: A large-scale bidirectional Mendelian randomization
title_fullStr Dissecting the causal effect between gut microbiota, DHA, and urate metabolism: A large-scale bidirectional Mendelian randomization
title_full_unstemmed Dissecting the causal effect between gut microbiota, DHA, and urate metabolism: A large-scale bidirectional Mendelian randomization
title_short Dissecting the causal effect between gut microbiota, DHA, and urate metabolism: A large-scale bidirectional Mendelian randomization
title_sort dissecting the causal effect between gut microbiota, dha, and urate metabolism: a large-scale bidirectional mendelian randomization
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097983/
https://www.ncbi.nlm.nih.gov/pubmed/37063923
http://dx.doi.org/10.3389/fimmu.2023.1148591
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