Association between gut microbiota and spinal stenosis: a two-sample mendelian randomization study

IntroductionConsiderable evidence has unveiled a potential correlation between gut microbiota and spinal degenerative diseases. However, only limited studies have reported the direct association between gut microbiota and spinal stenosis. Hence, in this study, we aimed to clarify this relationship u...

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Main Authors: Jian Li, Jinpeng Wei, Jiani Wang, Tao Xu, Baofeng Wu, Shuhan Yang, Shaoze Jing, Hua Wu, Haihu Hao
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Immunology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1360132/full
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author Jian Li
Jinpeng Wei
Jiani Wang
Tao Xu
Baofeng Wu
Shuhan Yang
Shaoze Jing
Hua Wu
Haihu Hao
author_facet Jian Li
Jinpeng Wei
Jiani Wang
Tao Xu
Baofeng Wu
Shuhan Yang
Shaoze Jing
Hua Wu
Haihu Hao
author_sort Jian Li
collection DOAJ
description IntroductionConsiderable evidence has unveiled a potential correlation between gut microbiota and spinal degenerative diseases. However, only limited studies have reported the direct association between gut microbiota and spinal stenosis. Hence, in this study, we aimed to clarify this relationship using a two-sample mendelian randomization (MR) approach.Materials and MethodsData for two-sample MR studies was collected and summarized from genome-wide association studies (GWAS) of gut microbiota (MiBioGen, n = 13, 266) and spinal stenosis (FinnGen Biobank, 9, 169 cases and 164, 682 controls). The inverse variance-weighted meta-analysis (IVW), complemented with weighted median, MR-Egger, weighted mode, and simple mode, was used to elucidate the causality between gut microbiota and spinal stenosis. In addition, we employed mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) and the MR-Egger intercept test to assess horizontal multiplicity. Cochran’s Q test to evaluate heterogeneity, and “leave-one-out” sensitivity analysis to determine the reliability of causality. Finally, an inverse MR analysis was performed to assess the reverse causality.ResultsThe IVW results indicated that two gut microbial taxa, the genus Eubacterium fissicatena group and the genus Oxalobacter, have a potential causal relationship with spinal stenosis. Moreover, eight potential associations between genetic liability of the gut microbiota and spinal stenosis were implied. No significant heterogeneity of instrumental variables or horizontal pleiotropy were detected. In addition, “leave-one-out” sensitivity analysis confirmed the reliability of causality. Finally, the reverse MR analysis revealed that no proof to substantiate the discernible causative relationship between spinal stenosis and gut microbiota.ConclusionThis analysis demonstrated a possible causal relationship between certain particular gut microbiota and the occurrence of spinal stenosis. Further studies focused on the mechanism of gut microbiota-mediated spinal stenosis can lay the groundwork for targeted prevention, monitoring, and treatment of spinal stenosis.
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spelling doaj.art-998834ae4dda431c8dc7c76c57fb77cc2024-04-19T04:32:51ZengFrontiers Media S.A.Frontiers in Immunology1664-32242024-04-011510.3389/fimmu.2024.13601321360132Association between gut microbiota and spinal stenosis: a two-sample mendelian randomization studyJian Li0Jinpeng Wei1Jiani Wang2Tao Xu3Baofeng Wu4Shuhan Yang5Shaoze Jing6Hua Wu7Haihu Hao8Department of Orthopedics, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, ChinaDepartment of Orthopedics, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, ChinaDepartment of Pediatric Medicine, Shanxi Medical University, Taiyuan, ChinaDepartment of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaFirst Clinical Medical College, Shanxi Medical University, Taiyuan, ChinaDepartment of Orthopedics, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, ChinaDepartment of Orthopedics, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, ChinaDepartment of Orthopedics, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, ChinaDepartment of Orthopedics, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, ChinaIntroductionConsiderable evidence has unveiled a potential correlation between gut microbiota and spinal degenerative diseases. However, only limited studies have reported the direct association between gut microbiota and spinal stenosis. Hence, in this study, we aimed to clarify this relationship using a two-sample mendelian randomization (MR) approach.Materials and MethodsData for two-sample MR studies was collected and summarized from genome-wide association studies (GWAS) of gut microbiota (MiBioGen, n = 13, 266) and spinal stenosis (FinnGen Biobank, 9, 169 cases and 164, 682 controls). The inverse variance-weighted meta-analysis (IVW), complemented with weighted median, MR-Egger, weighted mode, and simple mode, was used to elucidate the causality between gut microbiota and spinal stenosis. In addition, we employed mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) and the MR-Egger intercept test to assess horizontal multiplicity. Cochran’s Q test to evaluate heterogeneity, and “leave-one-out” sensitivity analysis to determine the reliability of causality. Finally, an inverse MR analysis was performed to assess the reverse causality.ResultsThe IVW results indicated that two gut microbial taxa, the genus Eubacterium fissicatena group and the genus Oxalobacter, have a potential causal relationship with spinal stenosis. Moreover, eight potential associations between genetic liability of the gut microbiota and spinal stenosis were implied. No significant heterogeneity of instrumental variables or horizontal pleiotropy were detected. In addition, “leave-one-out” sensitivity analysis confirmed the reliability of causality. Finally, the reverse MR analysis revealed that no proof to substantiate the discernible causative relationship between spinal stenosis and gut microbiota.ConclusionThis analysis demonstrated a possible causal relationship between certain particular gut microbiota and the occurrence of spinal stenosis. Further studies focused on the mechanism of gut microbiota-mediated spinal stenosis can lay the groundwork for targeted prevention, monitoring, and treatment of spinal stenosis.https://www.frontiersin.org/articles/10.3389/fimmu.2024.1360132/fulltwo-sample mendelian randomizationgut microbiotaspinal stenosiscausal inferencesingle nucleotide polymorphism
spellingShingle Jian Li
Jinpeng Wei
Jiani Wang
Tao Xu
Baofeng Wu
Shuhan Yang
Shaoze Jing
Hua Wu
Haihu Hao
Association between gut microbiota and spinal stenosis: a two-sample mendelian randomization study
Frontiers in Immunology
two-sample mendelian randomization
gut microbiota
spinal stenosis
causal inference
single nucleotide polymorphism
title Association between gut microbiota and spinal stenosis: a two-sample mendelian randomization study
title_full Association between gut microbiota and spinal stenosis: a two-sample mendelian randomization study
title_fullStr Association between gut microbiota and spinal stenosis: a two-sample mendelian randomization study
title_full_unstemmed Association between gut microbiota and spinal stenosis: a two-sample mendelian randomization study
title_short Association between gut microbiota and spinal stenosis: a two-sample mendelian randomization study
title_sort association between gut microbiota and spinal stenosis a two sample mendelian randomization study
topic two-sample mendelian randomization
gut microbiota
spinal stenosis
causal inference
single nucleotide polymorphism
url https://www.frontiersin.org/articles/10.3389/fimmu.2024.1360132/full
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