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

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The paper used a two-sample Mendelian randomization approach to test whether genetically predicted dietary factors, metabolic traits, and specific gut microbiota taxa have causal effects on the risk of primary ovarian failure. Using inverse-variance weighted as the primary method and multiple sensitivity analyses (weighted median, MR-Egger, mode-based methods, and leave-one-out), it found no genetic causal correlations for cigarettes smoked per day, coffee intake, or cooked vegetable intake. In contrast, primary ovarian failure was associated with fresh fruit intake, BMI, and several gut microbiota groups and genera including Eubacterium (hallii and ventriosum groups), Adlercreutzia, Intestinibacter, Lachnospiraceae (UCG008), and Terrisporobacter, with robustness reported across sensitivity tests. This paper does not explicitly discuss 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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last seen: 2026-07-31T06:09:14.520117+00:00