ArticlePloS one2026
Bioinformatics analysis of pyroptosis-related differentially expressed genes in sepsis and diabetes mellitus.
Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sepsis and diabetes mellitus (DM) are major global health issues with high morbidity and mortality, necessitating new molecular insights for improved treatments. In this study, pyroptosis-related differentially expressed genes (PRDEGs) linked to both diseases were identified through bioinformatics analyses of GEO datasets (GSE28750 and GSE55098). These analyses included differential expression analysis, GO/KEGG pathway enrichment, gene set enrichment analysis (GSEA), protein-protein interaction (PPI) network construction, and peripheral blood immune cell composition analysis. Seven PRDEGs (GZMA, GZMB, MMP9, LCN2, ANXA3, PRF1, and CAMP) were identified, involved primarily in cytolysis and the IL-17 signaling pathway. GSEA indicated transcriptional changes in the IL-12 signaling pathway. PPI analysis identified key hub genes related to sepsis and DM, and immune cell composition analysis revealed correlations between immune cells and PRDEGs. These findings indicate that the identified PRDEGs are closely associated with both sepsis and DM, suggesting their potential as molecular markers for future research into shared mechanisms underlying the two diseases.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.