Genetically predicted gut microbiota traits were linked to pituitary neuroendocrine tumor susceptibility, without evidence for reverse causation.
Evidence
This bidirectional two-sample analysis tested gut microbiota and using multiple MR estimators and sensitivity analyses, identifying 11 bacterial families and genera.
Caveat
Mendelian randomization supports genetic causal inference but depends on valid instrumental variables and does not directly test microbiota-targeted diagnosis or treatment.
Simplified
BACKGROUND: Previous observational studies have hinted at a connection between the gut microbiota and , yet the causal nature of this relationship remains uncertain.
METHODS: We employed a bidirectional to explore the potential impact of gut microbiota on the susceptibility to developing pituitary neuroendocrine tumors. Our analysis included weighted median estimator, simple model, weighted model, inverse variance-weighted, and the MR-Egger regression method for estimating causal effects and conducting sensitivity analyses. Additionally, reverse Mendelian randomization analysis was conducted on bacteria identified as causally linked to pituitary neuroendocrine tumors.
RESULTS: Causal relationships were identified between genetic predisposition in the gut microbiota and pituitary neuroendocrine tumors, involving 11 distinct bacterial families and genera. Notably, no significant causal effect was detected from pituitary neuroendocrine tumors on the gut microbiota, and there were no significant heterogeneities observed in instrumental variables or horizontal pleiotropy.
CONCLUSION: Through two-sample Mendelian randomization analysis, we pinpointed particular gut microbiota with a causal link to both the occurrence and prognosis of pituitary neuroendocrine tumors at the genetic prognostic level. These findings hold promise for serving as valuable biomarkers for early disease detection and as potential therapeutic targets for the management of pituitary neuroendocrine tumors.
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