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Genetically Predicted Causal Effects of Gut Microbiota and Gut Metabolites on Digestive Tract Cancer: A Two-Sample Mendelian Randomization Analysis

BACKGROUND: Evidence from numerous observational studies and clinical trials has linked gut microbiota and metabolites to digestive tract cancer. However, the causal effect between these factors remains uncertain. METHODS: Data for this study were obtained from the MiBioGen, TwinsUK Registry, and Fi...

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Autores principales: Li, Xu Jia, Gao, Meng Ge, Chen, Xu Xian, Rong, Yu Ming, Huang, Ling Li, Huang, Jin Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elmer Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681779/
https://www.ncbi.nlm.nih.gov/pubmed/38022400
http://dx.doi.org/10.14740/wjon1737
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author Li, Xu Jia
Gao, Meng Ge
Chen, Xu Xian
Rong, Yu Ming
Huang, Ling Li
Huang, Jin Sheng
author_facet Li, Xu Jia
Gao, Meng Ge
Chen, Xu Xian
Rong, Yu Ming
Huang, Ling Li
Huang, Jin Sheng
author_sort Li, Xu Jia
collection PubMed
description BACKGROUND: Evidence from numerous observational studies and clinical trials has linked gut microbiota and metabolites to digestive tract cancer. However, the causal effect between these factors remains uncertain. METHODS: Data for this study were obtained from the MiBioGen, TwinsUK Registry, and FinnGen (version R8). Two-sample Mendelian randomization analysis with inverse variance weighting method was primarily used, and the results were validated by heterogeneity analysis, pleiotropy test, and sensitivity analysis. RESULTS: At P < 5 × 10(-8), our analysis identified four gut microbiotas as risk factors for digestive tract cancer and six as risk factors for colorectal cancer. Conversely, one gut microbiota exhibited protection against bile duct cancer, and two showed protective effects against stomach cancer. At P < 1 × 10(-5), our investigation revealed five, six, three, eight, eight, and eight gut microbiotas as risk factors for esophageal, stomach, bile duct, liver, pancreatic, and colorectal cancers, respectively. In contrast, four, two, eight, two, two, and five gut microbiotas exhibited protective effects against these cancers. Additionally, GABA, a metabolite of gut microbiota, displayed a significant protective effect against colorectal cancer. CONCLUSION: In conclusion, specific gut microbiota and metabolites play roles as risk factors or protective factors for digestive tract cancer, and a causal relationship between them has been established, offering novel insights into gut microbiota-mediated cancer development.
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spelling pubmed-106817792023-11-03 Genetically Predicted Causal Effects of Gut Microbiota and Gut Metabolites on Digestive Tract Cancer: A Two-Sample Mendelian Randomization Analysis Li, Xu Jia Gao, Meng Ge Chen, Xu Xian Rong, Yu Ming Huang, Ling Li Huang, Jin Sheng World J Oncol Original Article BACKGROUND: Evidence from numerous observational studies and clinical trials has linked gut microbiota and metabolites to digestive tract cancer. However, the causal effect between these factors remains uncertain. METHODS: Data for this study were obtained from the MiBioGen, TwinsUK Registry, and FinnGen (version R8). Two-sample Mendelian randomization analysis with inverse variance weighting method was primarily used, and the results were validated by heterogeneity analysis, pleiotropy test, and sensitivity analysis. RESULTS: At P < 5 × 10(-8), our analysis identified four gut microbiotas as risk factors for digestive tract cancer and six as risk factors for colorectal cancer. Conversely, one gut microbiota exhibited protection against bile duct cancer, and two showed protective effects against stomach cancer. At P < 1 × 10(-5), our investigation revealed five, six, three, eight, eight, and eight gut microbiotas as risk factors for esophageal, stomach, bile duct, liver, pancreatic, and colorectal cancers, respectively. In contrast, four, two, eight, two, two, and five gut microbiotas exhibited protective effects against these cancers. Additionally, GABA, a metabolite of gut microbiota, displayed a significant protective effect against colorectal cancer. CONCLUSION: In conclusion, specific gut microbiota and metabolites play roles as risk factors or protective factors for digestive tract cancer, and a causal relationship between them has been established, offering novel insights into gut microbiota-mediated cancer development. Elmer Press 2023-12 2023-11-03 /pmc/articles/PMC10681779/ /pubmed/38022400 http://dx.doi.org/10.14740/wjon1737 Text en Copyright 2023, Li et al. https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution Non-Commercial 4.0 International License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Li, Xu Jia
Gao, Meng Ge
Chen, Xu Xian
Rong, Yu Ming
Huang, Ling Li
Huang, Jin Sheng
Genetically Predicted Causal Effects of Gut Microbiota and Gut Metabolites on Digestive Tract Cancer: A Two-Sample Mendelian Randomization Analysis
title Genetically Predicted Causal Effects of Gut Microbiota and Gut Metabolites on Digestive Tract Cancer: A Two-Sample Mendelian Randomization Analysis
title_full Genetically Predicted Causal Effects of Gut Microbiota and Gut Metabolites on Digestive Tract Cancer: A Two-Sample Mendelian Randomization Analysis
title_fullStr Genetically Predicted Causal Effects of Gut Microbiota and Gut Metabolites on Digestive Tract Cancer: A Two-Sample Mendelian Randomization Analysis
title_full_unstemmed Genetically Predicted Causal Effects of Gut Microbiota and Gut Metabolites on Digestive Tract Cancer: A Two-Sample Mendelian Randomization Analysis
title_short Genetically Predicted Causal Effects of Gut Microbiota and Gut Metabolites on Digestive Tract Cancer: A Two-Sample Mendelian Randomization Analysis
title_sort genetically predicted causal effects of gut microbiota and gut metabolites on digestive tract cancer: a two-sample mendelian randomization analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681779/
https://www.ncbi.nlm.nih.gov/pubmed/38022400
http://dx.doi.org/10.14740/wjon1737
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