Antimicrobial Peptides and Systemic Inflammation: A Network Analysis
Pinheiro Da Silva, F.
Show abstract
Antimicrobial peptides (AMPs) are essential components of the innate immune system, exhibiting diverse mechanisms of action. This study investigates the roles of cathelicidin (LL-37), alpha-defensins, and the S100 proteins S100A8 and S100A9 in systemic inflammation associated with sepsis, severe COVID-19, and acute pancreatitis using whole-blood bulk RNA-sequencing data. Gene co-expression network analysis revealed that during septic shock and severe COVID-19, cathelicidin and alpha-defensins act synergistically in innate immune responses, while S100A8 and S100A9 function through distinct pathways related to mitochondrial metabolism and ubiquitin ligase binding. In contrast, the acute pancreatitis network displayed a different pattern, with CAMP co-expressed alongside S100A8 and S100A9, whereas alpha-defensins were downregulated and associated with inhibited mucosal immune responses. These findings suggest that antimicrobial peptides contribute variably to systemic inflammation depending on the underlying insult, underscoring their complex, context-dependent roles in critical illness.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Differential gene expression analysis reveals novel genes and pathways in pediatric septic shock patients 95%
- In-depth blood proteome profiling analysis revealed distinct functional characteristics of plasma proteins between severe and non-severe COVID-19 patients 94%
- Application of physiological network mapping in the prediction of survival in critically ill patients with acute liver failure 94%
Similar papers in this journal
- Machine Learning Identifies Complicated Sepsis Trajectory and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 Hours post ICU admission 96%
- Plasma gradient of soluble urokinase-type plasminogen activator receptor is linked to pathogenic plasma proteome and immune transcriptome and stratifies outcomes in severe COVID-19 95%
- Systems-Level Proteomics Evaluation of Microglia Response to Tumor-Supportive Anti-inflammatory Cytokines 94%
Similar papers in this journal
- Clustering ICU patients with sepsis based on the patterns of their circulating biomarkers: a secondary analysis of the CAPTAIN prospective multicenter cohort study 95%
- Bioinformatics analyses and experimental validation of ferroptosis-related genes in bronchopulmonary dysplasia pathogenesis 94%
- Novel prognostic determinants of COVID-19-related mortality: a pilot study on severely-ill patients in Russia 94%
Similar papers in this journal
- Integrative systems biology approach identified crucial genes and transcription factors associated with gallbladder cancer pathogenesis 93%
- Validation of SeptiCyte RAPID to discriminate sepsis from non-infectious systemic inflammation 92%
- Efficacy of AI-assisted personalized microbiome modulation by diet in functional constipation: a randomized controlled trial 91%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.