Evaluation of BCL2 and TNFα as mRNA biomarkers for monitoring the immune response in critically ill children

Identification of apoptosis-immune-related gene signature and construction of diagnostic model for sepsis based on single-cell sequencing and bulk transcriptome analysis

Introduction

Sepsis leads to multi-organ dysfunction due to disorders of the host response to infections, which makes diagnosis and prognosis challenging. Apoptosis, a classic programmed cell death, contributes to the pathogenesis of various diseases. However, there is much uncertainty about its mechanism in sepsis.

Methods

Three sepsis gene expression profiles (GSE65682, GSE13904, and GSE26378) were downloaded from the Gene Expression Omnibus database. Apoptosis-related genes were obtained from the Kyoto Encyclopedia of Genes and Genomes Pathway database. We utilized LASSO regression and SVM-RFE algorithms to identify characteristic genes associated with sepsis. CIBERSORT and single cell sequencing analysis were employed to explore the potential relationship between hub genes and immune cell infiltration. The diagnostic capability of hub genes was validated across multiple external datasets. Subsequently, the animal sepsis model was established to assess the expression levels of hub genes in distinct target organs through RT-qPCR and Immunohistochemistry analysis.

Results

We identified 11 apoptosis-related genes as characteristic diagnostic markers for sepsis: CASP8, VDAC2, CHMP1A, CHMP5, FASLG, IFNAR1, JAK1, JAK3, STAT4, IRF9, and BCL2. Subsequently, a prognostic model was constructed using LASSO regression with BCL2, FASLG, IRF9 and JAK3 identified as hub genes. Apoptosis-related genes were closely associated with the immune response during the sepsis process. Furthermore, in the validation datasets, aside from IRF9, other hub genes demonstrated similar expression patterns and diagnostic abilities as observed in GSE65682 dataset. In the mouse model, the expression differences of hub genes between sepsis and control group revealed the potential impacts on sepsis-induced organ injury.

Conclusion

The current findings indicated the participant of apoptosis in sepsis, and apoptosis-related differentially expressed genes could be used for diagnosis biomarkers. BCL2, FASLG, IRF9 and JAK3 might be key regulatory genes affecting apoptosis in sepsis. Our findings provided a novel aspect for further exploration of the pathological mechanisms in sepsis.

miR-15b enhances the proliferation and migration of lung adenocarcinoma by targeting BCL2

Background

Lung adenocarcinoma (LUAD) is a subtype of lung cancer (LC), which is the most common tumor worldwide. Accumulating evidence has elucidated an important role of microRNAs (miRNAs) in mediating the development and progression of several tumors. The purpose of this study was to explore the role and underlying mechanism of miR‐15b in LUAD.

Methods

CCK‐8 and Transwell assays were conducted to measure the capacities of cell viability and migration in SPC‐A1 cells. Luciferase assay was utilized to verifymiR‐15b direct binding to BCL2 mRNA 3′‐UTR.

Results

We determined that miR‐15b was overexpressed in LUAD and miR‐15b overexpression predicted a significantly worse outcome in patients with LUAD. miR‐15b improved LUAD growth in vitro and vivo. miR‐15b enhanced cell migration and epithelial–mesenchymal transition (EMT) in LUAD. miR‐15b promoted cell viability, migration and EMT through inhibiting BCL2 expression by targeting to its mRNA 3′‐UTR. BCL2 reversed functions of miR‐15b on promoting cell proliferation, migration and EMT in SPC‐A1 cells.

Conclusions

miR‐15b promoted cell viability, migration and EMT by targeting BCL2 in LUAD. The newly identified miR‐15b/BCL2 axis provides a novel insight into the pathogenesis of LUAD.