Evidence map›Paper›PMID 40118885›Full record

ArticleScientific reports2025

Micronutrients and polycystic ovary syndrome in the IEU OpenGWAS project: a two-Sample unidirectional Mendelian randomization analysis.

Yuxuan Bai, Hongkun Chang, Na Tang, Hongyu Zhou, Xiaoxiao Wang, Kaiqin Shen, Zixiu Xu, Yue Du, Xumei Zhang, Qiang Zhang and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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.

Yuxuan Bai *Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China.
Hongkun Chang *Department of Endocrinology, Baodi Clinical Medical College, Tianjin Medical University, Tianjin, China.
Na Tang *Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China.
Hongyu ZhouDepartment of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China.
Xiaoxiao WangDepartment of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China.
Kaiqin ShenKey Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, Tianjin Medical University, Tianjin, China.
Zixiu XuKey Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, Tianjin Medical University, Tianjin, China.
Yue DuKey Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, Tianjin Medical University, Tianjin, China.
Xumei ZhangKey Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, Tianjin Medical University, Tianjin, China.
Qiang ZhangDepartment of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China.
Xinye QiKey Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, Tianjin Medical University, Tianjin, China. qixinye@tmu.edu.cn.

Funding

National Natural Science Foundation of China 82373543
6 · The paper itself

Abstract

Polycystic Ovary Syndrome (PCOS) is a prevalent endocrine and metabolic disorder. Research suggests a potential link between certain micronutrients and PCOS development, but the exact cause-and-effect relationship is unclear. This research utilizes data from extensive genome-wide association studies (GWAS) to investigate the possible association between micronutrients and PCOS via Mendelian randomization (MR). The findings aim to inform future research and guide clinical practice. We performed a two-sample unidirectional MR analysis using genetic data from European populations. The MR analysis revealed no statistically significant association between the 11 micronutrient-related genes and PCOS (all P-values > 0.05). Phosphate, magnesium, folate, vitamin B12, D, iron, selenium, and copper odds ratios (ORs) less than 1, calcium, vitamin C, and zinc ORs greater than 1. Sensitivity analyses revealed no indications of heterogeneity, pleiotropy, or outliers, hence affirming the robustness of these findings. High serum phosphate, magnesium, folate, vitamin B12, D, iron, selenium and copper levels may be potentially protective against PCOS. High serum calcium, vitamin C and zinc levels may be potential risk factors for PCOS. These insights are important for understanding PCOS's pathophysiology and improving clinical management.

Indexed as

Mendelian Randomization AnalysisMicronutrientsPolycystic Ovary SyndromeFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single NucleotideMicronutrientsCausal relationshipGenome-Wide association studyMendelian randomizationMicronutrientsPolycystic ovary syndrome

Identifiers

PMID40118885
PMCPMC11928458

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.