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A two-sample mendelian randomization analysis investigates associations between gut microbiota and infertility
Observational studies have provided evidence of a correlation between alterations in gut microbiota composition and infertility. However, concrete proof supporting the causal relationship is still lacking. We performed a Mendelian randomization study to assess whether genetically gut microbiota comp...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349861/ https://www.ncbi.nlm.nih.gov/pubmed/37454180 http://dx.doi.org/10.1038/s41598-023-38624-6 |
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author | Li, Taozhi Shao, Wenbo Wang, Yukun Zhou, Rui Yun, Zhangjun He, Yalin Wu, Yu |
author_facet | Li, Taozhi Shao, Wenbo Wang, Yukun Zhou, Rui Yun, Zhangjun He, Yalin Wu, Yu |
author_sort | Li, Taozhi |
collection | PubMed |
description | Observational studies have provided evidence of a correlation between alterations in gut microbiota composition and infertility. However, concrete proof supporting the causal relationship is still lacking. We performed a Mendelian randomization study to assess whether genetically gut microbiota composition influences the risk of infertility. The genetic data pertaining to gut microbiota were obtained from a genome-wide association study meta-analysis, which was conducted among 24 cohorts (18,340 participants) from the international MiBioGen consortium. By the primary method of assessing causality, we have identified 2 family taxa, 2 genus taxa, and 1 order taxa that were linked to a low risk of male infertility, while 1 genus taxa were associated with a high risk of male infertility. Furthermore, we have discovered 6 genus taxa, 1 phylum taxa, 1 class taxa, 1 order taxa, and 1 family taxa that were associated with a low risk of female infertility, while 1 genus taxa were linked to a high risk of female infertility. This study successfully confirmed that there was a causal link between gut microbiota and infertility. The identification of these specific strains through genetic prediction offers a valuable insight for early diagnosis, prevention, and treatment of infertility. |
format | Online Article Text |
id | pubmed-10349861 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103498612023-07-17 A two-sample mendelian randomization analysis investigates associations between gut microbiota and infertility Li, Taozhi Shao, Wenbo Wang, Yukun Zhou, Rui Yun, Zhangjun He, Yalin Wu, Yu Sci Rep Article Observational studies have provided evidence of a correlation between alterations in gut microbiota composition and infertility. However, concrete proof supporting the causal relationship is still lacking. We performed a Mendelian randomization study to assess whether genetically gut microbiota composition influences the risk of infertility. The genetic data pertaining to gut microbiota were obtained from a genome-wide association study meta-analysis, which was conducted among 24 cohorts (18,340 participants) from the international MiBioGen consortium. By the primary method of assessing causality, we have identified 2 family taxa, 2 genus taxa, and 1 order taxa that were linked to a low risk of male infertility, while 1 genus taxa were associated with a high risk of male infertility. Furthermore, we have discovered 6 genus taxa, 1 phylum taxa, 1 class taxa, 1 order taxa, and 1 family taxa that were associated with a low risk of female infertility, while 1 genus taxa were linked to a high risk of female infertility. This study successfully confirmed that there was a causal link between gut microbiota and infertility. The identification of these specific strains through genetic prediction offers a valuable insight for early diagnosis, prevention, and treatment of infertility. Nature Publishing Group UK 2023-07-15 /pmc/articles/PMC10349861/ /pubmed/37454180 http://dx.doi.org/10.1038/s41598-023-38624-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Li, Taozhi Shao, Wenbo Wang, Yukun Zhou, Rui Yun, Zhangjun He, Yalin Wu, Yu A two-sample mendelian randomization analysis investigates associations between gut microbiota and infertility |
title | A two-sample mendelian randomization analysis investigates associations between gut microbiota and infertility |
title_full | A two-sample mendelian randomization analysis investigates associations between gut microbiota and infertility |
title_fullStr | A two-sample mendelian randomization analysis investigates associations between gut microbiota and infertility |
title_full_unstemmed | A two-sample mendelian randomization analysis investigates associations between gut microbiota and infertility |
title_short | A two-sample mendelian randomization analysis investigates associations between gut microbiota and infertility |
title_sort | two-sample mendelian randomization analysis investigates associations between gut microbiota and infertility |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349861/ https://www.ncbi.nlm.nih.gov/pubmed/37454180 http://dx.doi.org/10.1038/s41598-023-38624-6 |
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