Evidence map›Paper›PMID 41220585›Full record

ArticleFrontiers in endocrinology2025

Investigating the causal role of cellular senescence-related genes in preeclampsia: a multi-omics Mendelian randomization study with differential expression analysis.

Hao Zhu, Yi Yu, Jue Wang, Chengjie Wang, Zhenzhen Liu, Xiaoyue Zhang, Rong Hu, Weirong Gu

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Hao ZhuObstetrics & Gynecology Hospital of Fudan University, Shanghai Key Lab of Reproduction and Development, Shanghai Key Lab of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Yi YuObstetrics & Gynecology Hospital of Fudan University, Shanghai Key Lab of Reproduction and Development, Shanghai Key Lab of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Jue WangObstetrics & Gynecology Hospital of Fudan University, Shanghai Key Lab of Reproduction and Development, Shanghai Key Lab of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Chengjie WangObstetrics & Gynecology Hospital of Fudan University, Shanghai Key Lab of Reproduction and Development, Shanghai Key Lab of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Zhenzhen LiuObstetrics & Gynecology Hospital of Fudan University, Shanghai Key Lab of Reproduction and Development, Shanghai Key Lab of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Xiaoyue ZhangObstetrics & Gynecology Hospital of Fudan University, Shanghai Key Lab of Reproduction and Development, Shanghai Key Lab of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Rong HuObstetrics & Gynecology Hospital of Fudan University, Shanghai Key Lab of Reproduction and Development, Shanghai Key Lab of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Weirong GuObstetrics & Gynecology Hospital of Fudan University, Shanghai Key Lab of Reproduction and Development, Shanghai Key Lab of Female Reproductive Endocrine Related Diseases, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The causal role of cellular senescence in preeclampsia pathogenesis is not fully established. This study aimed to systematically prioritize key senescence-related genes potentially driving preeclampsia using a Mendelian randomization (MR) framework. Results: We integrated genome-wide association studies (GWAS) of preeclampsia with expression, methylation, and proteomic quantitative trait loci (eQTLs/mQTLs/pQTLs) data for 866 senescence-related genes. Summary-data-based MR (SMR) coupled with the HEIDI (Heterogeneity in Dependent Instruments) test were used to assess causal associations and pleiotropy. Colocalization analysis evaluated shared genetic variants between QTLs and preeclampsia GWAS signals. Significant MR findings were explored for replication in an independent GWAS cohort (GCST90301704). Preliminary experimental support involved RT-PCR analysis of candidate genes in placental tissues from 10 preeclampsia patients and 5 gestational age-matched (34-38 weeks) healthy controls. Integration of SMR/HEIDI tests and colocalization (PPH4 > 0.5) prioritized 12 eQTLs, 62 mQTLs, and 2 pQTLs linked to preeclampsia. mQTL-eQTL analysis implicated methylation-regulated expression of Conclusion: Placental RT-PCR showed upregulated

Indexed as

Cellular SenescencePre-EclampsiaQuantitative Trait LociAdultDNA MethylationFemaleGenome-Wide Association StudyHumansMendelian Randomization AnalysisMultiomicsPolymorphism, Single NucleotidePregnancyProteomicscellular senescencecolocalization analysisDNA methylationgene expressionMendelian randomizationpreeclampsia

Identifiers

PMID41220585
PMCPMC12597756

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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 OpenQuestion graph.