ArticleJournal of cellular and molecular medicine2025
Bulk and Single-Cell Transcriptomic Reveals Shared Key Genes and Patterns of Immune Dysregulation in Both Intestinal Inflammatory Disease and Sepsis.
Article in Journal of cellular and molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Integrated Multi-Omics Analyses Identify TYMP as a Candidate Protective Immunoregulatory Marker in CD4⁺ T Cells During Sepsis.Journal of inflammation research · 2026Article
- Exploring the impact of endocrine-disrupting chemicals on erectile dysfunction through network toxicology and machine learning.BMC pharmacology & toxicology · 2025Article
- Single-Cell transcriptomic profiles of peripheral blood immune cells reveal early monocyte and platelet activation in the transition from high-risk states to clinical sepsis.Scientific reports · 2025Article
- Integrative single-cell and machine learning analysis predicts lactylation-driven therapy resistance in prostate cancer: a molecular docking and experiments-validated framework for treatment optimization.Frontiers in immunology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Inflammatory bowel disease (IBD) and Sepsis are both characterised by immune dysregulation. Notably, IBD is a factor in the increase in septic infections. However, these two conditions' shared molecular and pathophysiological mechanisms remain unclear. We used 'limma' and 'WGCNA' analyses to identify common DEGs between these two conditions. Single-cell RNA sequencing further assessed immune cell heterogeneity. We used machine learning algorithms to construct and identify diagnostic markers for Sepsis, which we then validated using receiver operating characteristic curve (ROC) analysis. A mouse model of IBD combined with Sepsis was constructed, and real-time PCR and western blot validated the expression of BCL2A1 and CEBPB. It was found that 58 shared DEGs identified in both IBD and Sepsis were highly enriched in immune and inflammation-related pathways. Single-cell analysis revealed that CD14
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.