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Genetically Predicted Causality of 28 Gut Microbiome Families and Type 2 Diabetes Mellitus Risk

Mounting evidence indicates that gut microbiome may be involved in the pathogenesis of type 2 diabetes mellitus (T2DM). However, there is no consensus on whether there is a causal link between gut microbiome and T2DM risk. In the present study, the Mendelian randomization (MR) analysis was performed...

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Autores principales: Xiang, Kun, Zhang, Jing-Jing, Xu, Yuan-Yuan, Zhong, Xing, Ni, Jing, Pan, Hai-Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8851667/
https://www.ncbi.nlm.nih.gov/pubmed/35185792
http://dx.doi.org/10.3389/fendo.2022.780133
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author Xiang, Kun
Zhang, Jing-Jing
Xu, Yuan-Yuan
Zhong, Xing
Ni, Jing
Pan, Hai-Feng
author_facet Xiang, Kun
Zhang, Jing-Jing
Xu, Yuan-Yuan
Zhong, Xing
Ni, Jing
Pan, Hai-Feng
author_sort Xiang, Kun
collection PubMed
description Mounting evidence indicates that gut microbiome may be involved in the pathogenesis of type 2 diabetes mellitus (T2DM). However, there is no consensus on whether there is a causal link between gut microbiome and T2DM risk. In the present study, the Mendelian randomization (MR) analysis was performed to investigate whether gut microbiome was causally linked to T2DM risk. The single nucleotide polymorphisms (SNPs) that were significantly related to exposure from published available genome-wide association study (GWAS) were selected as instrumental variables (IVs). The robust methods including inverse variance weighting (IVW), MR Egger, and weighted median were conducted to infer the causal links. Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) and MR-Egger regression were used to test whether there was horizontal pleiotropy and identify outlier SNPs. The estimates of IVW suggested that Streptococcaceae (odds ratio (OR) = 1.17, 95% confidence interval (CI), 1.04–1.31, p = 0.009) was associated with higher risk of T2DM in European population. In Asian population, the MR IVW estimates revealed that there was a causal link between Acidaminococcaceae and T2DM risk (OR = 1.17, 95% CI, 1.04–1.31, p = 0.008). There was no evidence of notable heterogeneity and horizontal pleiotropy. However, after false discovery rate (FDR) correction, the causal link between gut microbiome and T2DM was absent (FDR, p > 0.05). In summary, using genetic instruments, this study does not find evidence of association between the 28 gut microbiome families and T2DM risk. However, Streptococcaceae and Acidaminococcaceae may have a borderline positive correlation with T2DM risk.
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spelling pubmed-88516672022-02-18 Genetically Predicted Causality of 28 Gut Microbiome Families and Type 2 Diabetes Mellitus Risk Xiang, Kun Zhang, Jing-Jing Xu, Yuan-Yuan Zhong, Xing Ni, Jing Pan, Hai-Feng Front Endocrinol (Lausanne) Endocrinology Mounting evidence indicates that gut microbiome may be involved in the pathogenesis of type 2 diabetes mellitus (T2DM). However, there is no consensus on whether there is a causal link between gut microbiome and T2DM risk. In the present study, the Mendelian randomization (MR) analysis was performed to investigate whether gut microbiome was causally linked to T2DM risk. The single nucleotide polymorphisms (SNPs) that were significantly related to exposure from published available genome-wide association study (GWAS) were selected as instrumental variables (IVs). The robust methods including inverse variance weighting (IVW), MR Egger, and weighted median were conducted to infer the causal links. Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) and MR-Egger regression were used to test whether there was horizontal pleiotropy and identify outlier SNPs. The estimates of IVW suggested that Streptococcaceae (odds ratio (OR) = 1.17, 95% confidence interval (CI), 1.04–1.31, p = 0.009) was associated with higher risk of T2DM in European population. In Asian population, the MR IVW estimates revealed that there was a causal link between Acidaminococcaceae and T2DM risk (OR = 1.17, 95% CI, 1.04–1.31, p = 0.008). There was no evidence of notable heterogeneity and horizontal pleiotropy. However, after false discovery rate (FDR) correction, the causal link between gut microbiome and T2DM was absent (FDR, p > 0.05). In summary, using genetic instruments, this study does not find evidence of association between the 28 gut microbiome families and T2DM risk. However, Streptococcaceae and Acidaminococcaceae may have a borderline positive correlation with T2DM risk. Frontiers Media S.A. 2022-02-03 /pmc/articles/PMC8851667/ /pubmed/35185792 http://dx.doi.org/10.3389/fendo.2022.780133 Text en Copyright © 2022 Xiang, Zhang, Xu, Zhong, Ni and Pan 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 Endocrinology
Xiang, Kun
Zhang, Jing-Jing
Xu, Yuan-Yuan
Zhong, Xing
Ni, Jing
Pan, Hai-Feng
Genetically Predicted Causality of 28 Gut Microbiome Families and Type 2 Diabetes Mellitus Risk
title Genetically Predicted Causality of 28 Gut Microbiome Families and Type 2 Diabetes Mellitus Risk
title_full Genetically Predicted Causality of 28 Gut Microbiome Families and Type 2 Diabetes Mellitus Risk
title_fullStr Genetically Predicted Causality of 28 Gut Microbiome Families and Type 2 Diabetes Mellitus Risk
title_full_unstemmed Genetically Predicted Causality of 28 Gut Microbiome Families and Type 2 Diabetes Mellitus Risk
title_short Genetically Predicted Causality of 28 Gut Microbiome Families and Type 2 Diabetes Mellitus Risk
title_sort genetically predicted causality of 28 gut microbiome families and type 2 diabetes mellitus risk
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8851667/
https://www.ncbi.nlm.nih.gov/pubmed/35185792
http://dx.doi.org/10.3389/fendo.2022.780133
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