Evidence map›Paper›PMID 37020283›Full record

ArticleBMC pregnancy and childbirth2023

Diagnostic signature composed of seven genes in HIF-1 signaling pathway for preeclampsia.

Xun Yang, Ling Yu, Yiling Ding, Mengyuan Yang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC pregnancy and childbirth, 2023. 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
2.4field-weighted citation impact, top 12% of its field
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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. The Role of Catestatin in Preeclampsia.International journal of molecular sciences · 2024
    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

4 authors at 2 institutions in 1 country.

Xun YangDepartment of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, 410011, China.
Ling YuDepartment of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, 410011, China.
Yiling DingDepartment of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, 410011, China.
Mengyuan YangDepartment of Obstetrics and Gynecology, The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, 410011, China. yangmengyuan_xy@csu.edu.cn.
Second Xiangya Hospital of Central South University · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn this study, we explored the relationship of genes in HIF-1 signaling pathway with preeclampsia and establish a logistic regression model for diagnose preeclampsia using bioinformatics analysis.

methodTwo microarray datasets GSE75010 and GSE35574 were downloaded from the Gene Expression Omnibus database, which was using for differential expression analysis. DEGs were performed the Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and Gene set enrichment analysis (GSEA). Then we performed unsupervised consensus clustering analysis using genes in HIF-1 signaling pathway, and clinical features and immune cell infiltration were compared between these clusters, as well as the least absolute shrinkage and selection operator (LASSO) method to screened out key genes to constructed logistic regression model, and receiver operating characteristic (ROC) curve was plotted to evaluate the accuracy of the model.

results57 DEGs were identified, of which GO, KEGG and analysis GSEA showed DEGs were mostly involved in HIF-1 signaling pathway. Two subtypes were identified of preeclampsia and 7 genes in HIF1-signaling pathway were screened out to establish the logistic regression model for discrimination preeclampsia from controls, of which the AUC are 0.923 and 0.845 in training and validation datasets respectively.

conclusionSeven genes (including MKNK1, ARNT, FLT1, SERPINE1, ENO3, LDHA, BCL2) were screen out to build potential diagnostic model of preeclampsia.

Indexed as

Pre-EclampsiaCluster AnalysisDatabases, FactualFemaleHumansHypoxia-Inducible Factor 1, alpha SubunitIntracellular Signaling Peptides and ProteinsLogistic ModelsPregnancyProtein Serine-Threonine KinasesSignal TransductionHypoxia-Inducible Factor 1, alpha SubunitIntracellular Signaling Peptides and ProteinsMKNK1 protein, humanProtein Serine-Threonine KinasesConsensus clusteringImmune cell infiltrationIntegrated analysisLogistic regression modelMicroarrayPlacenta

Identifiers

PMID37020283
PMCPMC10074875
OpenAlexW4362612148

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.