Discussion on the relationship between gut microbiota and glioma through Mendelian randomization test based on the brain gut axis

In the realm of Gut-Brain axis research, existing evidence points to a complex bidirectional regulatory mechanism between gut microbiota and the brain. However, the question of whether a causal relationship exists between gut microbiota and specific types of brain tumors, such as gliomas, remains un...

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Bibliographic Details
Published in:PloS one 2024-05, Vol.19 (5), p.e0304403-e0304403
Main Authors: Cui, Chenzhi, Yang, Tianke, Wang, ShengYu, Jia, Zhuqiang, Zhao, Lin, Han, Xin, Sun, Xiaohong, Zong, Junwei, Wang, Shouyu, Chen, Dong
Format: Article
Language:English
Subjects:
Analysis
Biology and Life Sciences
Brain
Brain cancer
Brain Neoplasms - genetics
Brain Neoplasms - microbiology
Brain research
Brain tumors
Brain-Gut Axis
Clinical trials
Confounding (Statistics)
Datasets
Disease
Gastrointestinal Microbiome - genetics
Genome-wide association studies
Genome-Wide Association Study
Genomes
Genomics
Glioma
Glioma - genetics
Glioma - microbiology
Gliomas
Humans
Intestinal microflora
Linkage analysis
Linkage Disequilibrium
Medicine and Health Sciences
Mendelian Randomization Analysis
Microbial activity
Microbiota
Microbiota (Symbiotic organisms)
Microorganisms
Mortality
Nervous system
Observational studies
Pathogenesis
Physical Sciences
Polymorphism
Polymorphism, Single Nucleotide
Randomization
Regulatory mechanisms (biology)
Research and Analysis Methods
Sensitivity analysis
Tumors
Variables
Citations: Items that this one cites
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Description
Summary:In the realm of Gut-Brain axis research, existing evidence points to a complex bidirectional regulatory mechanism between gut microbiota and the brain. However, the question of whether a causal relationship exists between gut microbiota and specific types of brain tumors, such as gliomas, remains unresolved. To address this gap, we employed publicly available Genome-Wide Association Study (GWAS) and MIOBEN databases, conducting an in-depth analysis using Two-Sample Mendelian Randomization (MR). We carried out two sets of MR analyses. The preliminary analysis included fewer instrumental variables due to a high genome-wide statistical significance threshold (5×10-8). To enable a more comprehensive and detailed analysis, we adjusted the significance threshold to 1×10-5. We performed linkage disequilibrium analysis (R2
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0304403