Evidence map›Paper›PMID 39967661›Full record

ArticleFrontiers in immunology2025

Identification of genes involved in energy metabolism in preeclampsia and discovery of early biomarkers.

Ruohua Li, Cuixia Zhou, Kejun Ye, Haihui Chen, Mengjia Peng

Abstract read
In one paragraph

Article in Frontiers in immunology, 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

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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

3 citing papers in PubMed.

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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.

Ruohua LiDepartment of Gynecology and Obstetrics, The Third Affiliated Hospital of Wenzhou Medical University, Rui'an, China.
Cuixia ZhouDepartment of Gynecology and Obstetrics, The Third Affiliated Hospital of Wenzhou Medical University, Rui'an, China.
Kejun YeDepartment of Gynecology and Obstetrics, The Third Affiliated Hospital of Wenzhou Medical University, Rui'an, China.
Haihui ChenDepartment of Gynecology and Obstetrics, The Third Affiliated Hospital of Wenzhou Medical University, Rui'an, China.
Mengjia PengDepartment of Gynecology and Obstetrics, The Third Affiliated Hospital of Wenzhou Medical University, Rui'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Preeclampsia is a complex pregnancy condition marked by hypertension and organ dysfunction, posing significant risks to maternal and fetal health. This study investigates the role of energy metabolism-associated genes in preeclampsia development and identifies potential early diagnostic biomarkers. Methods: Preeclampsia datasets from Gene Expression Omnibus were analyzed for batch correction, normalization, and differential expression. Enrichment analyses using gene ontology, Kyoto Encyclopedia of Genes and Genomes, and gene set enrichment were performed. Protein-protein interaction networks were constructed to identify key genes, and regulatory networks involving transcription factors, miRNAs, and RNA-binding proteins were established. Differential expression was validated with receiver operating characteristic curve analyses, and immune infiltration was assessed. Results: Six energy metabolism-related genes were identified. Enrichment analyses revealed their involvement in glycolysis, gluconeogenesis, lipid transport, bone remodeling, and glucagon secretion. Key differentially expressed genes included Conclusion: Dysregulated energy metabolism-related genes may contribute to preeclampsia through metabolic and immune changes. Identifying these genes aids in understanding preeclampsia's molecular basis and early diagnosis. Future studies should validate these markers in larger cohorts and explore targeted treatments.

Indexed as

Energy MetabolismPre-EclampsiaBiomarkersComputational BiologyFemaleGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansPregnancyProtein Interaction MapsBiomarkersbiomarkersenergy metabolismgene expressionimmune infiltrationpreeclampsia

Identifiers

PMID39967661
PMCPMC11832505

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