Integrative biology shows DPP4 affects inflammatory response to eclampsia and cell model growth via p65/NLRP3/ASC/Caspase-1 pathway

<b>Objective:</b> Eclampsia severely endangers maternal and neonatal health, being a major contributor to emergency admissions, maternal mortality, and long-term complications. This study aimed to identify reliable biomarkers and explore potential therapeutic targets for improving the diagnosis, prevention, and management of eclampsia. <b>Methods:</b> Differential gene expression analysis was performed on the GSE60438 dataset. Weighted Gene Co-expression Network Analysis (WGCNA) was used to construct gene modules and screen modules associated with pre-eclampsia. Gene Ontology (GO) and Gene Set Enrichment Analysis (GSEA) were employed to annotate the biological functions and pathways of candidate genes. Immune cell infiltration was evaluated via the xCell algorithm. LASSO regression was utilized to identify hub genes, which was validated by RT-qPCR and Western blot in clinical samples (placental tissues and serum from pre-eclampsia patients). DPP4 knockdown experiments were conducted in HTR-8 cells to assess its effects on pro-inflammatory cytokines (IL-6, TNF-α) and trophoblast cell functions (migration, invasion, lumen formation). Additionally, the p65/NLRP3/ASC/Caspase-1 signaling pathway was examined to clarify the underlying molecular mechanism. <b>Results:</b> A total of 4,642 upregulated and 2,193 downregulated genes were identified in pre-eclampsia samples. WGCNA revealed nine gene modules, with the red module showing the strongest positive correlation and the magenta module exhibiting a negative correlation with pre-eclampsia. GO analysis indicated enrichment of candidate genes in chromosome organization, mitochondrial function, and DNA repair. GSEA identified key immune-related pathways, including cytokine production and chemokine signaling. LASSO regression pinpointed DPP4 as a hub gene, which was significantly upregulated in pre-eclampsia clinical samples. DPP4 knockdown in HTR-8 cells reduced IL-6 and TNF-α levels, impaired trophoblast migration, invasion, and lumen formation, and inhibited the phosphorylation of p65, NLRP3, ASC, and Caspase-1 in the p65/NLRP3/ASC/Caspase-1 signaling pathway. <b>Conclusion:</b> Targeting DPP4 may serve as an innovative strategy for regulating inflammatory signaling in eclampsia, with potential to alleviate maternal symptoms and improve pregnancy outcomes.

Authors

Institutions

Publication Details

Journal
Frontiers in Genetics
Published
2026-03-03
DOI
https://doi.org/10.3389/fgene.2026.1775026
Primary Topic
Pregnancy and preeclampsia studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrative biology shows DPP4 affects inflammatory response to eclampsia and cell model growth via p65/NLRP3/ASC/Caspase-1 pathway

Hao Li, Rongjuan Yang, Zhimin Bian, Jianghui Sun
Frontiers in Genetics
Pregnancy and preeclampsia studies
article

Integrative biology shows DPP4 affects inflammatory response to eclampsia and cell model growth via p65/NLRP3/ASC/Caspase-1 pathway

Hao Li, Rongjuan Yang, Zhimin Bian, Jianghui Sun
article en

Abstract

<b>Objective:</b> Eclampsia severely endangers maternal and neonatal health, being a major contributor to emergency admissions, maternal mortality, and long-term complications. This study aimed to identify reliable biomarkers and explore potential therapeutic targets for improving the diagnosis, prevention, and management of eclampsia. <b>Methods:</b> Differential gene expression analysis was performed on the GSE60438 dataset. Weighted Gene Co-expression Network Analysis (WGCNA) was used to construct gene modules and screen modules associated with pre-eclampsia. Gene Ontology (GO) and Gene Set Enrichment Analysis (GSEA) were employed to annotate the biological functions and pathways of candidate genes. Immune cell infiltration was evaluated via the xCell algorithm. LASSO regression was utilized to identify hub genes, which was validated by RT-qPCR and Western blot in clinical samples (placental tissues and serum from pre-eclampsia patients). DPP4 knockdown experiments were conducted in HTR-8 cells to assess its effects on pro-inflammatory cytokines (IL-6, TNF-α) and trophoblast cell functions (migration, invasion, lumen formation). Additionally, the p65/NLRP3/ASC/Caspase-1 signaling pathway was examined to clarify the underlying molecular mechanism. <b>Results:</b> A total of 4,642 upregulated and 2,193 downregulated genes were identified in pre-eclampsia samples. WGCNA revealed nine gene modules, with the red module showing the strongest positive correlation and the magenta module exhibiting a negative correlation with pre-eclampsia. GO analysis indicated enrichment of candidate genes in chromosome organization, mitochondrial function, and DNA repair. GSEA identified key immune-related pathways, including cytokine production and chemokine signaling. LASSO regression pinpointed DPP4 as a hub gene, which was significantly upregulated in pre-eclampsia clinical samples. DPP4 knockdown in HTR-8 cells reduced IL-6 and TNF-α levels, impaired trophoblast migration, invasion, and lumen formation, and inhibited the phosphorylation of p65, NLRP3, ASC, and Caspase-1 in the p65/NLRP3/ASC/Caspase-1 signaling pathway. <b>Conclusion:</b> Targeting DPP4 may serve as an innovative strategy for regulating inflammatory signaling in eclampsia, with potential to alleviate maternal symptoms and improve pregnancy outcomes.

Frontiers in GeneticsVol. 17
First Hospital of Shijiazhuang (CN)
Good health and well-being
Openalex Percentile: Top 34%
Pregnancy and preeclampsia studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.