Multi‐Omics Analyses Reveal Relationships Between Gut Microbiota and Frailty

Abstract Introduction Observational studies suggest a strong association between gut microbiota and frailty, but the underlying mechanisms remain unclear. This study aimed to investigate potential causal links and biological pathways linking gut microbiota and frailty. Methods We utilized summary‐le...

Full description

Saved in:
Bibliographic Details
Main Authors: Xinlei Hou, Luwen Zhu, Jiongliang Zhang, Xinyue Li, Donghui Yu, Yuting Wang, Yumeng Su, Xiangyu Wei, Hanwen Ma, Wenjing Song, Jinting Li, Lili Teng, Qiang Tang, Minmin Wu
Format: Article
Language:English
Published: Wiley 2025-07-01
Series:Brain and Behavior
Subjects:
Online Access:https://doi.org/10.1002/brb3.70657
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849701098867130368
author Xinlei Hou
Luwen Zhu
Jiongliang Zhang
Xinyue Li
Donghui Yu
Yuting Wang
Yumeng Su
Xiangyu Wei
Hanwen Ma
Wenjing Song
Jinting Li
Lili Teng
Qiang Tang
Minmin Wu
author_facet Xinlei Hou
Luwen Zhu
Jiongliang Zhang
Xinyue Li
Donghui Yu
Yuting Wang
Yumeng Su
Xiangyu Wei
Hanwen Ma
Wenjing Song
Jinting Li
Lili Teng
Qiang Tang
Minmin Wu
author_sort Xinlei Hou
collection DOAJ
description Abstract Introduction Observational studies suggest a strong association between gut microbiota and frailty, but the underlying mechanisms remain unclear. This study aimed to investigate potential causal links and biological pathways linking gut microbiota and frailty. Methods We utilized summary‐level data of gut microbiota and frailty data from MiBioGen and a genome‐wide association meta‐analysis. A bidirectional, two‐sample Mendelian randomization (MR) analysis was performed to investigate the causal relationship between gut microbiota and frailty. Additional genetic and genomic analyses were conducted to identify common biological pathways. Results We identified eight causal relationships between the gut microbiota composition and frailty. Inverse‐variance weighting suggested that genetic liability for the class Betaproteobacteria and genera Allisonella, Bifidobacterium, Clostridium innocuum, and Eubacterium coprostanoligenes was associated with increased frailty risk. In contrast, the class Bacteroidia, genus Eubacterium ruminantium, and the order Bacteroidales were associated with decreased risk. Reverse MR analysis provided no evidence for a causal effect of frailty on gut microbiota composition. In addition, TET2 was identified as a key hub gene associated with frailty, potentially linking gut microbiota to immune dysregulation and aging‐related inflammatory pathways. Conclusions Our findings provide genetic evidence that gut microbiota composition influences frailty risk and highlight TET2 as a potential mechanistic link via immune dysregulation. These results suggest that microbiota‐targeted interventions may offer novel strategies for the prevention and management of frailty in older adults.
format Article
id doaj-art-e4fbb129b30f4ae78ba78d1e23f86fd7
institution DOAJ
issn 2162-3279
language English
publishDate 2025-07-01
publisher Wiley
record_format Article
series Brain and Behavior
spelling doaj-art-e4fbb129b30f4ae78ba78d1e23f86fd72025-08-20T03:18:02ZengWileyBrain and Behavior2162-32792025-07-01157n/an/a10.1002/brb3.70657Multi‐Omics Analyses Reveal Relationships Between Gut Microbiota and FrailtyXinlei Hou0Luwen Zhu1Jiongliang Zhang2Xinyue Li3Donghui Yu4Yuting Wang5Yumeng Su6Xiangyu Wei7Hanwen Ma8Wenjing Song9Jinting Li10Lili Teng11Qiang Tang12Minmin Wu13Department of AcupunctureThe Second Affiliated Hospital of Heilongjiang University of Chinese MedicineHarbinChinaRehabilitation CenterThe Second Affiliated Hospital of Heilongjiang University of Chinese MedicineHarbinChinaDepartment of Rehabilitation MedicineHeilongjiang University of Chinese MedicineHarbinChinaDepartment of Rehabilitation MedicineHeilongjiang University of Chinese MedicineHarbinChinaDepartment of Rehabilitation MedicineHeilongjiang University of Chinese MedicineHarbinChinaDepartment of Rehabilitation MedicineHeilongjiang University of Chinese MedicineHarbinChinaDepartment of Rehabilitation MedicineHeilongjiang University of Chinese MedicineHarbinChinaDepartment of Rehabilitation MedicineHeilongjiang University of Chinese MedicineHarbinChinaDepartment of Rehabilitation MedicineHeilongjiang University of Chinese MedicineHarbinChinaDepartment of Rehabilitation MedicineHeilongjiang University of Chinese MedicineHarbinChinaDepartment of Rehabilitation MedicineHeilongjiang University of Chinese MedicineHarbinChinaDepartment of Rehabilitation MedicineHeilongjiang University of Chinese MedicineHarbinChinaRehabilitation CenterThe Second Affiliated Hospital of Heilongjiang University of Chinese MedicineHarbinChinaDepartment of AcupunctureThe Second Affiliated Hospital of Heilongjiang University of Chinese MedicineHarbinChinaAbstract Introduction Observational studies suggest a strong association between gut microbiota and frailty, but the underlying mechanisms remain unclear. This study aimed to investigate potential causal links and biological pathways linking gut microbiota and frailty. Methods We utilized summary‐level data of gut microbiota and frailty data from MiBioGen and a genome‐wide association meta‐analysis. A bidirectional, two‐sample Mendelian randomization (MR) analysis was performed to investigate the causal relationship between gut microbiota and frailty. Additional genetic and genomic analyses were conducted to identify common biological pathways. Results We identified eight causal relationships between the gut microbiota composition and frailty. Inverse‐variance weighting suggested that genetic liability for the class Betaproteobacteria and genera Allisonella, Bifidobacterium, Clostridium innocuum, and Eubacterium coprostanoligenes was associated with increased frailty risk. In contrast, the class Bacteroidia, genus Eubacterium ruminantium, and the order Bacteroidales were associated with decreased risk. Reverse MR analysis provided no evidence for a causal effect of frailty on gut microbiota composition. In addition, TET2 was identified as a key hub gene associated with frailty, potentially linking gut microbiota to immune dysregulation and aging‐related inflammatory pathways. Conclusions Our findings provide genetic evidence that gut microbiota composition influences frailty risk and highlight TET2 as a potential mechanistic link via immune dysregulation. These results suggest that microbiota‐targeted interventions may offer novel strategies for the prevention and management of frailty in older adults.https://doi.org/10.1002/brb3.70657frailtygut microbiotaMendelian randomizationTET2
spellingShingle Xinlei Hou
Luwen Zhu
Jiongliang Zhang
Xinyue Li
Donghui Yu
Yuting Wang
Yumeng Su
Xiangyu Wei
Hanwen Ma
Wenjing Song
Jinting Li
Lili Teng
Qiang Tang
Minmin Wu
Multi‐Omics Analyses Reveal Relationships Between Gut Microbiota and Frailty
Brain and Behavior
frailty
gut microbiota
Mendelian randomization
TET2
title Multi‐Omics Analyses Reveal Relationships Between Gut Microbiota and Frailty
title_full Multi‐Omics Analyses Reveal Relationships Between Gut Microbiota and Frailty
title_fullStr Multi‐Omics Analyses Reveal Relationships Between Gut Microbiota and Frailty
title_full_unstemmed Multi‐Omics Analyses Reveal Relationships Between Gut Microbiota and Frailty
title_short Multi‐Omics Analyses Reveal Relationships Between Gut Microbiota and Frailty
title_sort multi omics analyses reveal relationships between gut microbiota and frailty
topic frailty
gut microbiota
Mendelian randomization
TET2
url https://doi.org/10.1002/brb3.70657
work_keys_str_mv AT xinleihou multiomicsanalysesrevealrelationshipsbetweengutmicrobiotaandfrailty
AT luwenzhu multiomicsanalysesrevealrelationshipsbetweengutmicrobiotaandfrailty
AT jiongliangzhang multiomicsanalysesrevealrelationshipsbetweengutmicrobiotaandfrailty
AT xinyueli multiomicsanalysesrevealrelationshipsbetweengutmicrobiotaandfrailty
AT donghuiyu multiomicsanalysesrevealrelationshipsbetweengutmicrobiotaandfrailty
AT yutingwang multiomicsanalysesrevealrelationshipsbetweengutmicrobiotaandfrailty
AT yumengsu multiomicsanalysesrevealrelationshipsbetweengutmicrobiotaandfrailty
AT xiangyuwei multiomicsanalysesrevealrelationshipsbetweengutmicrobiotaandfrailty
AT hanwenma multiomicsanalysesrevealrelationshipsbetweengutmicrobiotaandfrailty
AT wenjingsong multiomicsanalysesrevealrelationshipsbetweengutmicrobiotaandfrailty
AT jintingli multiomicsanalysesrevealrelationshipsbetweengutmicrobiotaandfrailty
AT liliteng multiomicsanalysesrevealrelationshipsbetweengutmicrobiotaandfrailty
AT qiangtang multiomicsanalysesrevealrelationshipsbetweengutmicrobiotaandfrailty
AT minminwu multiomicsanalysesrevealrelationshipsbetweengutmicrobiotaandfrailty