Evidence mapPaperPMID 41362644Full record

ArticleInternational journal of women's health2025

Genetically Predicted Causal Risk Factors for Preeclampsia: A Comprehensive Mendelian Randomization Study.

Han Wu, Dongmei Sun, Sijia Fang, Qiuhui Pan, Chaoyan Yue

Abstract read
In one paragraph

Article in International journal of women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Han Wu *Department of Clinical Laboratory, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Dongmei Sun *Department of Obstetrics and Gynecology, Xuyi People's Hospital, Huai'an, Jiangsu, People's Republic of China.
Sijia FangObstetrics & Gynecology Hospital of Fudan University, Shanghai Key Laboratory of Reproduction and Development, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Shanghai, People's Republic of China.
Qiuhui PanDepartment of Clinical Laboratory, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Chaoyan YueObstetrics & Gynecology Hospital of Fudan University, Shanghai Key Laboratory of Reproduction and Development, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Preeclampsia is a complex hypertensive disorder of pregnancy, significantly impacting maternal and fetal health worldwide. Despite extensive research, its pathogenesis, involving inflammatory, immune, microbiological, and metabolic factors, requires comprehensive elucidation. Methods: This study applied Mendelian randomization (MR) to investigate causal relationships between multi-omics traits and the risk of preeclampsia. The genome-wide association studies (GWAS) datasets used consisted of immune cells ( Results: Our analysis identified 81 potential causal factors for preeclampsia. Among the most novel and clinically significant findings were several druggable plasma proteins, including Astacin-like metalloendopeptidase (ASTL) and Baculoviral IAP repeat-containing protein 3 (BIRC3), which exhibited strong causal evidence. Furthermore, we identified specific gut microbiota genera, notably Conclusion: These findings highlight the intricate interplay of immune, inflammatory, microbiological, metabolic, and protein factors in preeclampsia, suggesting novel diagnostic and therapeutic targets. Further research is warranted to explore these associations in detail.

Indexed as

causalitygut microbiomeinflammatory factorMendelian randomizationmetabolomemulti-omicspreeclampsia

Identifiers

PMID41362644
PMCPMC12682299

What Socratic holds

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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.