Evidence map›Paper›PMID 39916955›Full record

ArticleFrontiers in immunology2024

Identification and preliminary validation of biomarkers associated with mitochondrial and programmed cell death in pre-eclampsia.

Rong Lin, XiaoYing Weng, Liang Lin, XuYang Hu, ZhiYan Liu, Jing Zheng, FenFang Shen, Rui Li

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. 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

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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

2 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

8 authors.

Rong Lin *Medical Centre of Maternity and Child Health, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
XiaoYing Weng *Medical Centre of Maternity and Child Health, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
Liang LinMedical Centre of Maternity and Child Health, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
XuYang HuMedical Centre of Maternity and Child Health, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
ZhiYan LiuMedical Centre of Maternity and Child Health, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
Jing ZhengMedical Centre of Maternity and Child Health, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
FenFang ShenMedical Centre of Maternity and Child Health, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
Rui LiMedical Centre of Maternity and Child Health, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The involvement of mitochondrial and programmed cell death (mtPCD)-related genes in the pathogenesis of pre-eclampsia (PE) remains inadequately characterized. Methods: This study explores the role of mtPCD genes in PE through bioinformatics and experimental approaches. Differentially expressed mtPCD genes were identified as potential biomarkers from the GSE10588 and GSE98224 datasets and subsequently validated. Hub genes were determined using support vector machine, least absolute shrinkage and selection operator, and Boruta based on consistent expression profiles. Their performance was assessed through nomogram and artificial neural network models. Biomarkers were subjected to localization, functional annotation, regulatory network analysis, and drug prediction. Clinical validation was conducted Results: Four genes [solute carrier family 25 member 5 ( Conclusion: These four mtPCD-related biomarkers may play a pivotal role in PE pathogenesis, offering new perspectives on the disease's diagnostic and mechanistic pathways.

Indexed as

ApoptosisBiomarkersMitochondriaPre-EclampsiaAdultCoenzyme A LigasesComputational BiologyFemaleGene Expression ProfilingGene Regulatory NetworksHumansMitochondrial ProteinsPregnancyBiomarkersCoenzyme A LigasesMitochondrial Proteinsbioinformaticsdatabasemitochondrialpre-eclampsiaprogrammed cell death

Identifiers

PMID39916955
PMCPMC11798957

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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.