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Gut microbiota and atopic dermatitis: a two-sample Mendelian randomization study

BACKGROUND: Accumulating evidence suggests that alterations in gut microbiota composition and diversity are associated with Atopic dermatitis (AD). But until now, the causal association between them has been unclear. METHODS: We employed a two-sample Mendelian Randomization (MR) study to estimate th...

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Autores principales: Xue, Yan, Zhang, Linzhu, Chen, Yajun, Wang, Han, Xie, Jiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323683/
https://www.ncbi.nlm.nih.gov/pubmed/37425302
http://dx.doi.org/10.3389/fmed.2023.1174331
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author Xue, Yan
Zhang, Linzhu
Chen, Yajun
Wang, Han
Xie, Jiang
author_facet Xue, Yan
Zhang, Linzhu
Chen, Yajun
Wang, Han
Xie, Jiang
author_sort Xue, Yan
collection PubMed
description BACKGROUND: Accumulating evidence suggests that alterations in gut microbiota composition and diversity are associated with Atopic dermatitis (AD). But until now, the causal association between them has been unclear. METHODS: We employed a two-sample Mendelian Randomization (MR) study to estimate the potential causality of gut microbiota on AD risk. The summary statistics related to the gut microbiota were obtained from a large-scale genome-wide genotype and 16S fecal microbiome dataset from 18,340 individuals (24 cohorts) analyzed by the MiBioGen Consortium, comprising 211 gut microbiota. AD data were also derived from strictly defined AD data collected by FinnGen biobank analysis, which included 218,467 European ancestors (5,321 AD patients and 213,146 controls). The inverse variance weighted method (IVW), weighted median (WME), and MR-Egger were used to determine the changes of AD pathogenic bacterial taxa, followed by sensitivity analysis including horizontal pleiotropy analysis, Cochran’s Q test, and the leave-one-out method to assess the reliability of the results. In addition, MR Steiger’s test was used to test the suppositional relationship between exposure and outcome. RESULTS: A total of 2,289 SNPs (p < 1 × 10(−5)) were included, including 5 taxa and 17 bacterial characteristics (1 phylum, 3 classes, 1 order, 4 families, and 8 genera), after excluding the IVs with linkage disequilibrium (LD). Combining the analysis of the results of the IVW models, there were 6 biological taxa (2 families, and 4 genera) of the intestinal flora positively associated with the risk of AD and 7 biological taxa (1 phylum, 2 classes, 1 order, 1 family, and 2 genera) of the intestinal flora negatively associated. The IVW analysis results showed that Tenericutes, Mollicutes, Clostridia, Bifidobacteriaceae, Bifidobacteriales, Bifidobacterium, and Christensenellaceae R 7 group were negatively correlated with the risk of AD, while Clostridiaceae 1, Bacteroidaceae, Bacteroides, Anaerotruncus, the unknown genus, and Lachnospiraceae UCG001 showed the opposite trend. And the results of the sensitivity analysis were robust. MR Steiger’s test showed a potential causal relationship between the above intestinal flora and AD, but not vice versa. CONCLUSION: The present MR analysis genetically suggests a causal relationship between changes in the abundance of the gut microbiota and AD risk, thus not only providing support for gut microecological therapy of AD but also laying the groundwork for further exploration of the mechanisms by which the gut microbiota contributes to the pathogenesis of AD.
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spelling pubmed-103236832023-07-07 Gut microbiota and atopic dermatitis: a two-sample Mendelian randomization study Xue, Yan Zhang, Linzhu Chen, Yajun Wang, Han Xie, Jiang Front Med (Lausanne) Medicine BACKGROUND: Accumulating evidence suggests that alterations in gut microbiota composition and diversity are associated with Atopic dermatitis (AD). But until now, the causal association between them has been unclear. METHODS: We employed a two-sample Mendelian Randomization (MR) study to estimate the potential causality of gut microbiota on AD risk. The summary statistics related to the gut microbiota were obtained from a large-scale genome-wide genotype and 16S fecal microbiome dataset from 18,340 individuals (24 cohorts) analyzed by the MiBioGen Consortium, comprising 211 gut microbiota. AD data were also derived from strictly defined AD data collected by FinnGen biobank analysis, which included 218,467 European ancestors (5,321 AD patients and 213,146 controls). The inverse variance weighted method (IVW), weighted median (WME), and MR-Egger were used to determine the changes of AD pathogenic bacterial taxa, followed by sensitivity analysis including horizontal pleiotropy analysis, Cochran’s Q test, and the leave-one-out method to assess the reliability of the results. In addition, MR Steiger’s test was used to test the suppositional relationship between exposure and outcome. RESULTS: A total of 2,289 SNPs (p < 1 × 10(−5)) were included, including 5 taxa and 17 bacterial characteristics (1 phylum, 3 classes, 1 order, 4 families, and 8 genera), after excluding the IVs with linkage disequilibrium (LD). Combining the analysis of the results of the IVW models, there were 6 biological taxa (2 families, and 4 genera) of the intestinal flora positively associated with the risk of AD and 7 biological taxa (1 phylum, 2 classes, 1 order, 1 family, and 2 genera) of the intestinal flora negatively associated. The IVW analysis results showed that Tenericutes, Mollicutes, Clostridia, Bifidobacteriaceae, Bifidobacteriales, Bifidobacterium, and Christensenellaceae R 7 group were negatively correlated with the risk of AD, while Clostridiaceae 1, Bacteroidaceae, Bacteroides, Anaerotruncus, the unknown genus, and Lachnospiraceae UCG001 showed the opposite trend. And the results of the sensitivity analysis were robust. MR Steiger’s test showed a potential causal relationship between the above intestinal flora and AD, but not vice versa. CONCLUSION: The present MR analysis genetically suggests a causal relationship between changes in the abundance of the gut microbiota and AD risk, thus not only providing support for gut microecological therapy of AD but also laying the groundwork for further exploration of the mechanisms by which the gut microbiota contributes to the pathogenesis of AD. Frontiers Media S.A. 2023-06-22 /pmc/articles/PMC10323683/ /pubmed/37425302 http://dx.doi.org/10.3389/fmed.2023.1174331 Text en Copyright © 2023 Xue, Zhang, Chen, Wang and Xie. 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 Medicine
Xue, Yan
Zhang, Linzhu
Chen, Yajun
Wang, Han
Xie, Jiang
Gut microbiota and atopic dermatitis: a two-sample Mendelian randomization study
title Gut microbiota and atopic dermatitis: a two-sample Mendelian randomization study
title_full Gut microbiota and atopic dermatitis: a two-sample Mendelian randomization study
title_fullStr Gut microbiota and atopic dermatitis: a two-sample Mendelian randomization study
title_full_unstemmed Gut microbiota and atopic dermatitis: a two-sample Mendelian randomization study
title_short Gut microbiota and atopic dermatitis: a two-sample Mendelian randomization study
title_sort gut microbiota and atopic dermatitis: a two-sample mendelian randomization study
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323683/
https://www.ncbi.nlm.nih.gov/pubmed/37425302
http://dx.doi.org/10.3389/fmed.2023.1174331
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