Evidence map›Paper›PMID 40746540›Full record

ArticleFrontiers in immunology2025

Multiple analytical perspectives of mitochondrial genes in the context of preeclampsia: potential diagnostic markers.

Can Li, Fang Liu, Chao Li, Xiangzhong Zhao, Qiulan Lv, Aiping Jiang, Shuping Zhao

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 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. Review
  2. 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

7 authors.

Can LiDepartment of Obstetrics and Gynecology, Qingdao Women and Children's Hospital, Shandong University, Jinan, Shandong, China.
Fang LiuDepartment of Obstetrics and Gynecology, Dazhou Dachuan District People's Hospital (Dazhou Third People's Hospital), Dazhou, Sichuan, China.
Chao LiDepartment of Obstetrics and Gynecology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Xiangzhong ZhaoDepartment of Medical Research Center, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Qiulan LvDepartment of Medical Research Center, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Aiping JiangDepartment of Obstetrics and Gynecology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Shuping ZhaoDepartment of Obstetrics and Gynecology, Qingdao Women and Children's Hospital, Shandong University, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preeclampsia(PE) is closely linked to adverse maternal and fetal outcomes. Given the pivotal roles of mitochondria in various human diseases and the limited research on their involvement in PE, this study identified biomarkers linked to mitochondrial metabolism in PE and their roles in its pathogenesis. Data from three datasets were integrated using the ComBat algorithm to mitigate batch effects. Differential expression analysis identified genes differentially expressed between PE cases and Control group. Cross-referencing these genes with mitochondrial energy metabolism-related genes (MMRGs) isolated mitochondrial energy metabolism-related differentially expressed genes (MMRDEGs). GO and KEGG analysis were performed to elucidate the functions of the MMRDEGs. A diagnostic model using Random Forest and logistic regression was validated by ROC curve analysis. mRNA expressions of

Indexed as

Genes, MitochondrialMitochondriaPre-EclampsiaBiomarkersEnergy MetabolismFemaleGene Expression ProfilingGene Regulatory NetworksHumansPregnancyProtein Interaction MapsBiomarkersdiagnostic modelimmune cells infiltrationmachine learningmitochondria-related genespreeclampsia

Identifiers

PMID40746540
PMCPMC12310717

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Registered trials

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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.