ArticleJournal of inflammation research2023
Bioinformatics Prediction and Experimental Validation of the Role of Macrophage Polarization and Ferroptosis in Gestational Diabetes Mellitus.
Article in Journal of inflammation research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Ferroptosis-Mediated Placental Dysfunction in the Pathophysiology of Gestational Diabetes Mellitus.American journal of reproductive immunology (New York, N.Y. : 1989) · 2026Article
- Immune dysregulation linking pre-pregnancy obesity to gestational diabetes mellitus.Frontiers in immunology · 2026Review
- Mitochondrial dysfunction and immune microenvironment in gestational diabetes mellitus: insights from bioinformatics analysis and experimental validation.Frontiers in immunology · 2026Article
- Metformin and Placental Ferroptosis in Gestational Diabetes: A Mechanistic Study.Journal of diabetes research · 2026Article
- Integrative multi-omics analysis reveals cellular and molecular insights into gestational diabetes mellitus.Frontiers in molecular biosciences · 2026Article
- Bioinformatics analysis of pyroptosis-related differentially expressed genes in sepsis and diabetes mellitus.PloS one · 2026Article
- Novel role of NR1D1 and SLC7A5 in gestational diabetes mellitus: regulation of polyamine metabolism.Journal of diabetes and metabolic disorders · 2025Article
- Identification of Potential Key Ferroptosis-Related Genes in EV71-Infected Cells Through Bioinformatics Analysis and Experimental Study.Current microbiology · 2025Article
- Identification and validation of palmitoylation-related biomarkers in gestational diabetes mellitus.Scientific reports · 2025Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Gestational diabetes mellitus (GDM) is a common metabolic disorder during pregnancy that is associated with placental inflammation and adverse pregnancy outcomes. However, the mechanisms of inflammation in GDM are still unclear. Methods: Bulk transcriptome, single-cell transcriptome, clinical information, and samples were collected from GSE154414, GSE70493, GSE173193 and a retrospective cohort. Bioinformatics prediction was used to explore the mechanisms of placental inflammation, and multiplex immunofluorescence was used to validate the results. Results: First, we found that GDM is characterized by low-grade inflammation and is linked to several adverse pregnancy outcomes, as supported by our collected clinical data. Additionally, we identified ten hub genes ( Conclusion: In conclusion, our findings provide a better understanding of the mechanisms of inflammation in GDM and suggest potential therapeutic targets for this condition.
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