Evidence map›Paper›PMID 39828258›Full record

ArticleAsia Pacific journal of clinical nutrition2025

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

Xueying Liu, Zhongliang Lin, Kejing Zhu, Renke He, Zhaoying Jiang, Haiyan Wu, Jiaen Yu, Qinyu Luo, Jianzhong Sheng, Jiaxue Pan and 1 more

Abstract read
In one paragraph

Article in Asia Pacific journal of clinical nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Xueying Liu *Department of Obstetrics and Gynecology, Center for Reproductive Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
Zhongliang Lin *Department of Obstetrics and Gynecology, Center for Reproductive Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
Kejing ZhuDepartment of Obstetrics and Gynecology, Center for Reproductive Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
Renke HeDepartment of Obstetrics and Gynecology, Center for Reproductive Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
Zhaoying JiangDepartment of Obstetrics and Gynecology, Center for Reproductive Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
Haiyan WuKey Laboratory of Reproductive Genetics, Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jiaen YuKey Laboratory of Reproductive Genetics, Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Qinyu LuoKey Laboratory of Reproductive Genetics, Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jianzhong ShengDepartment of Obstetrics and Gynecology, Center for Reproductive Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
Jiaxue PanDepartment of Obstetrics and Gynecology, Center for Reproductive Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
Hefeng HuangDepartment of Obstetrics and Gynecology, Center for Reproductive Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China. Email: hhf57@zju.edu.cn.

Funding

CAMS Innovation Fund for Medical Sciences 2019-I2M-5-064Collaborative Innovation Program of Shanghai Municipal Health Commission 2020CXJQ01Key Discipline Construction Project (2023-2025) of Three-Year Initiative Plan for Strengthening Public Health System Construction in Shanghai GWVI-11.1-35National Key Research and Development Program of China No.2021YFC2700603National Key Research and Development Program of China No. 2022YFC2703001National Key Research and Development Program of China No. 2022YFC2703803National Natural Science Foundation of China No. 82088102National Natural Science Foundation of China No. 82171613National Natural Science Foundation of China No. 82171688Shanghai Clinical Research Center for Gynecological Diseases 22MC1940200Shanghai Frontiers Science Research Center of Reproduction and Development, Zhejiang Province College Student Science and Technology Innovation Program (Xinmiao Plan) 2023R401210Shanghai Urogenital System Diseases Research Center 2022ZZ01012
6 · The paper itself

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.

Indexed as

DietGastrointestinal MicrobiomeMendelian Randomization AnalysisPrimary Ovarian InsufficiencyFemaleHumansdietary factorsgut microbiotaMendelian randomizationmetabolic factorsprimary ovarian failure

Identifiers

PMID39828258
PMCPMC11742604

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.