Evidence map›Paper›PMID 39736989›Full record

ArticleFrontiers in microbiology2024

Exploring the causal relationship of gut microbiota in nonunion: a Mendelian randomization analysis mediated by immune cell.

Yun-Fei Yu, Hai-Feng Gong, Wei-Ju Li, Mao Wu, Gang Hu

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Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yun-Fei YuDepartment of Orthopedics, Wuxi Hospital of Traditional Chinese Medicine, Wuxi, Jiangsu, China.
Hai-Feng GongDepartment of Trauma Surgery, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Wei-Ju LiDepartment of Orthopedics, Guangdong Provincial Second Hospital of Traditional Chinese Medicine, Guangzhou, Guangdong, China.
Mao WuDepartment of Orthopedics, Wuxi Hospital of Traditional Chinese Medicine, Wuxi, Jiangsu, China.
Gang HuDepartment of Orthopedics, Wuxi Hospital of Traditional Chinese Medicine, Wuxi, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Emerging research indicates that gut microbiota (GM) are pivotal in the regulation of immune-mediated bone diseases. Nonunion, a bone metabolic disorder, has an unclear causal relationship with GM and immune cells. This study aims to elucidate the causal relationship between GM and nonunion using Mendelian Randomization (MR) and to explore the mediating role of immune cells. Methods: Using a two-step, two-sample Mendelian randomization approach, this study explores the causal link between GM and nonunion, as well as the mediating role of immune cells in this relationship. Data were sourced from multiple cohorts and consortiums, including the MiBioGen consortium. GM data were derived from a recently published dataset of 473 gut microbiota, and nonunion data were obtained from genome-wide association studies (GWAS). Results: MR analysis identified 12 bacterial genera with protective effects against nonunion and seven bacterial genera associated with a higher risk of nonunion, including Agathobacter sp000434275, Aureimonas, Clostridium M, Lachnospirales, Megamonas funiformis, and Peptoccia. Reverse MR analysis indicated that nonunion does not influence GM. Additionally, MR analysis identified 12 immune cell types positively associated with nonunion and 14 immune cell types negatively associated with nonunion. Building on these findings, we conducted mediation MR analysis to identify 24 crucial GM and immune cell-mediated relationships affecting nonunion. Notably, Campylobacter D, Megamonas funiformis, Agathobacter sp000434275, Lachnospirales, Clostridium E sporosphaeroides, and Clostridium M significantly regulated nonunion through multiple immune cell characteristics. Conclusions: To our knowledge, our research results are the first to emphasize a causal relationship between the gut microbiome and nonunion, potentially mediated by immune cells. The correlations and mediation effects identified in our study provide valuable insights into potential therapeutic strategies targeting the gut microbiome, informing global action plans.

Indexed as

gut microbiotaimmune cellinstrumental variableMendelian randomizationnonunion

Identifiers

PMID39736989
PMCPMC11683590

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.