Evidence map›Paper›PMID 40873178›Full record

ArticleCurrent molecular medicine2026

Transcriptome Analysis, Machine Learning, and Experimental Identification of CDK7 Affecting the Progression of Pregnancy-induced Hypertension by Influencing Macrophage Polarization.

Suyan Gu, Xiuqing Zhou, Xueyan Shen, Chunhui Xiao, Cuihong Gao, Xuan Zhang

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Article in Current molecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Suyan GuDepartment of Gynecology and Obstetrics, The Fourth Hospital of Shijiazhuang, No. 16, North Tangu Street, Chang 'an District, Shijiazhuang, 050000, People's Republic of China.
Xiuqing ZhouDepartment of Gynecology and Obstetrics, The Fourth Hospital of Shijiazhuang, No. 16, North Tangu Street, Chang 'an District, Shijiazhuang, 050000, People's Republic of China.
Xueyan ShenDepartment of Gynecology and Obstetrics, The Fourth Hospital of Shijiazhuang, No. 16, North Tangu Street, Chang 'an District, Shijiazhuang, 050000, People's Republic of China.
Chunhui XiaoDepartment of Gynecology and Obstetrics, The Fourth Hospital of Shijiazhuang, No. 16, North Tangu Street, Chang 'an District, Shijiazhuang, 050000, People's Republic of China.
Cuihong GaoDepartment of Gynecology and Obstetrics, The Fourth Hospital of Shijiazhuang, No. 16, North Tangu Street, Chang 'an District, Shijiazhuang, 050000, People's Republic of China.
Xuan ZhangDepartment of Gynecology and Obstetrics, The Fourth Hospital of Shijiazhuang, No. 16, North Tangu Street, Chang 'an District, Shijiazhuang, 050000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPregnancy-induced hypertension (PIH) is a severe pregnancy complication characterized by placental insufficiency, abnormal vascular remodeling, and immune dysregulation, but personalized therapeutic markers remain unclear. This study aimed to identify key genes and explore immune mechanisms in PIH using transcriptome analysis, machine learning, and experimental validation.

methodsWe analyzed the GSE204835 transcriptomic dataset to screen differentially expressed genes (DEGs) and performed Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Reactome, and Gene Set Enrichment Analysis (GSEA) for functional annotation. Immune infiltration analysis was also performed to examine the immune landscape in PIH. Least Absolute Shrinkage and Selection Operator (LASSO) regression identified key genes, which were validated in a PIH cell model. Flow cytometry and immunofluorescence assays assessed the effect of CDK7 knockdown on macrophage polarization.

resultsA total of 1,598 DEGs (1,123 upregulated, 475 downregulated) were identified. Enrichment analyses highlighted associations with embryonic organ development, oxidative phosphorylation, angiogenesis, and oxidative stress. Immune infiltration analysis revealed altered eosinophil and macrophage polarization in PIH. LASSO regression selected 12 key genes, with CDK7 showing the most significant upregulation in the PIH model. CDK7 knockdown promoted macrophage polarization toward the anti-inflammatory M2 phenotype. DISCUSSION: These findings link CDK7 to immune dysregulation in PIH by modulating macrophage polarization, expanding our understanding of PIH's molecular mechanisms. The study's limitations include reliance on public datasets and in vitro models, warranting in vivo validation.

conclusionCDK7 emerges as a potential therapeutic target for PIH, offering new insights into immunoregulatory interventions for this complication.

Indexed as

Cyclin-Dependent KinasesGene Expression ProfilingHypertension, Pregnancy-InducedMachine LearningMacrophagesTranscriptomeAnimalsCyclin-Dependent Kinase-Activating KinaseDisease ProgressionFemaleHumansMacrophage ActivationPregnancyCyclin-Dependent Kinase-Activating KinaseCyclin-Dependent KinasesCDK7gene set enrichment analysisimmunemachine learningmacrophagePregnancy-induced hypertension

Identifiers

PMID40873178

What Socratic holds

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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 Socratic graph.