Dietary, metabolic and gut microbiota influences on primary ovarian failure: a two-sample Mendelian randomization study.

Liu X, Lin Z, Zhu K, He R, Jiang Z, Wu H, Yu J, Luo Q, Sheng J, Pan J, Huang H
Asia Pacific journal of clinical nutrition · 2025 · doi:10.6133/apjcn.202502_34(1).0005 · PMID:39828258 · PMC11742604
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A two-sample Mendelian randomization study identified causal associations between primary ovarian failure and fresh fruit intake, BMI, and specific gut microbiota taxa, while excluding coffee, cooked vegetables, and smoking.

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This study employed a two-sample Mendelian randomization analysis to investigate the causal relationships between dietary habits, metabolic factors, gut microbiota, and the risk of primary ovarian failure. The researchers utilized inverse variance weighted methods alongside extensive sensitivity analyses to validate their findings, which identified fresh fruit intake, body mass index, and specific bacterial taxa such as Eubacterium and Adlercreutzia as causally associated with the condition. Conversely, the analysis found no significant causal link between primary ovarian failure and factors including cigarette smoking, coffee consumption, or cooked vegetable intake. This paper is not centrally about endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Background and objectivesPrevious studies have reported there were associations between ovarian function and dietary factors, metabolic factors and gut microbiota. However, it is unclear whether causal associations exist. We aimed to explore the causal relationship of these factors with risk of primary ovarian failure (POF).Methods and study designTwo-sample Mendelian randomization (MR) analysis was performed to genetically predict the causal effects of dietary and metabolic factors and gut microbiota on POF. The inverse variance weighted (IVW) method was used as the primary statistical method. A series of sensitivity analyses, including weighted median, MR-Egger, simple mode, weighted mode methods, and leave-one-out analysis, were conducted to assess the robustness of the MR analysis results.ResultsIVW analysis revealed that cigarettes smoked per day, coffee intake and cooked vegetable intake were not causally correlated with POF at the genetic level. However, POF were associated with fresh fruit intake, BMI, Eubacterium (hallii group), Eubacterium (ventriosum group), Adlercreutzia, Intestinibacter, Lachnospiraceae (UCG008), and Terrisporobacter. These findings were robust according to extensive sensitivity analyses.ConclusionsThis study identified several dietary factors, metabolic factors and gut microbiota taxa that may be causally implicated in POF, potentially offering new therapeutic targets.
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- 期刊 Background and Objectives: Previous studies have reported there were associations between ovarian function and dietary factors, metabolic factors and gut microbiota. However, it is unclear whether causal associations exist. We aimed to explore the causal relationship of these factors with risk of primary ovarian failure (POF). Methods and Study Design: Two-sample Mendelian randomization (MR) analysis was performed to genetically predict the causal effects of dietary and metabolic factors and gut microbiota on POF. The inverse variance weighted (IVW) method was used as the primary statistical method. A series of sensitivity analyses, including weighted median, MR-Egger, simple mode, weighted mode methods, and leave-one-out analysis, were conducted to assess the robustness of the MR analysis results. Results: IVW analysis revealed that cigarettes smoked per day, coffee intake and cooked vegetable intake were not causally correlated with POF at the genetic level. However, POF were associated with fresh fruit intake, BMI, Eubacterium (hallii group), Eubacterium (ventriosum group), Adlercreutzia, Intestinibacter, Lachnospiraceae (UCG008), and Terrisporobacter. These findings were robust according to extensive sensitivity analyses. Conclusions: This study identified several dietary factors, metabolic factors and gut microbiota taxa that may be causally implicated in POF, potentially offering new therapeutic targets.

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