Chief Physician of RICU of First affiliated Hospital of Xinjiang Medical University
Dedicated to clinical and basic research in respiratory and critical care medicine. Primary research interests include diagnosis and treatment of sepsis, sepsis-related ARDS, and infection prevention/control of tuberculosis.
Background An increasing body of evidence now shows that the long-term mortality of patients with sepsis is associated with various sepsis-related immune cell defects. Alternative splicing (AS), as a sepsis-related immune cell defect, is considered a potential immunomodulatory therapy target to improve patient outcomes. However, our understanding of the role AS plays in sepsis is currently insufficient.
Aim This study investigated possible associations between AS and the gene regulatory networks affecting immune cells. We also investigated apoptosis and AS functionality in sepsis pathophysiology.
Methods In this study, we assessed publicly available mRNA-seq data that was obtained from the NCBI GEO dataset (GSE154918), which included a healthy group (HLTY), a mild infection group (INF1), an asepsis group (Seps), and a septic shock group (Shock). A total of 79 samples (excluding significant outliers) were identified by a poly-A capture method to generate RNA-seq data. The variable splicing events and highly correlated RNA-binding protein (RBP) genes in each group were then systematically analyzed.
Results For the first time, we used systematic RNA-seq analysis of sepsis-related AS and identified 1505 variable AS events that differed significantly (p <= 0.01) across the four groups. In the sepsis group, the genes related to significant AS events, such as SHISA5 and IFI27, were mostly enriched in the cell apoptosis pathway. Furthermore, we identified differential splicing patterns within each of the four groups. Significant differences in the expression of RNA-binding protein (RBP) genes were observed between the control group and the sepsis group. RBP gene expression was highly correlated with variant splicing events in sepsis, as determined by co-expression analysis; the expression of DDX24, CBFA2T2, NOP, ILF3, DNMT1, FTO, PPRC1, and NOLC1 RBPs was significantly reduced in sepsis compared to the healthy group. Finally, we constructed an RBP-AS functional network.
Conclusion: Analysis indicated that the RBP-AS functional network serves as a critical post-transcriptional mechanism that regulates the development of sepsis. AS dysregulation is associated with alterations in the regulatory gene expression network that is involved in sepsis. Therefore, the RBP-AS expression network could be useful in refining biomarker predictions in the development of new therapeutic targets for the pathogenesis of sepsis.