Identification and Validation of Pathogenic Genes in Sepsis and Associated Diseases by Integrated Bioinformatics Approach

Abstract

Sepsis is a clinical syndrome with high mortality and morbidity rates. In sepsis, the abrupt release of cytokines by the innate immune system may cause multiorgan failure, leading to septic shock and associated complications. In the presence of a number of systemic disorders, such as sepsis, infections, diabetes, and systemic lupus erythematosus (SLE), cardiorenal syndrome (CRS) type 5 is defined by concomitant cardiac and renal dysfunctions Thus, our study suggests that certain mRNAs and unexplored pathways may pave a way to unravel critical therapeutic targets in three debilitating and interrelated illnesses, namely, sepsis, SLE, and CRS. Sepsis, SLE, and CRS are closely interrelated complex diseases likely sharing an overlapping pathogenesis caused by erroneous gene network activities. We sought to identify the shared gene networks and the key genes for sepsis, SLE, and CRS by completing an integrative analysis. Initially, 868 DEGs were identified in 16 GSE datasets. Based on degree centrality, 27 hub genes were revealed. The gProfiler webtool was used to perform functional annotations and enriched molecular pathway analyses. Finally, core hub genes (EGR1, MMP9, and CD44) were validated using RT-PCR analysis. Our comprehensive multiplex network approach to hub gene discovery is effective, as evidenced by the findings. This work provides a novel research path for a new research direction in multi-omics biological data analysis.

Identification of immune infiltration and immune-related biomarkers of periprosthetic joint infection

“…It is involved in various pathological processes [ 53 ]. Although its specific role in PJI remains unclear, several studies have reported its potential as a biomarker for sepsis [ [54] , [55] , [56] ]. Besides, matrix metalloproteinases can interact with integrin receptors on the cell surface to promote the migration of inflammatory cells to the site of infection.…”

Identification of molecular diagnostic markers in sepsis-induced acute lung injury

“…Our study further suggested that among many biomarkers and molecules, these six biomarkers have a closer relationship with sepsis, which is worthy of further study. Previous studies will also help us to carry out subsequent molecular biology experiments, laying a certain foundation for further verification of the relationship between the six biomarkers and sepsis-induced lung injury [31][32][33].…”

Immune Landscape and Classification in Lung Adenocarcinoma Based on a Novel Cell Cycle Checkpoints Related Signature for Predicting Prognosis and Therapeutic Response

“…Univariate Cox analysis of differentially expressed CCCRGs was performed to obtain 25 prognostic related CCCRGs ( Ahmed et al, 2022 ). Unsupervised cluster analysis was performed using R package “ConsensusClusterPlus”, using agglomeration km clustered with a 1-Pearson correlating distribution, and resampling of 80% of the samples for 1000 repetitions ( Wilkerson and Hayes, 2010 ).…”