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Biomedical subjects

Zhen Yang

Publications and source records attributed to Zhen Yang.

2 recordsLinked to original sources

RUNX3: a regulator of macrophage apoptosis with positive prognostic impact in sepsis.

BACKGROUND: Sepsis, a life-threatening condition, remains a leading cause of mortality globally. Transcription factors (TFs) play a pivotal role in its pathogenesis. RUNX3, a member of the RUNX family, has been implicated in immune regulation, but its function in sepsis remains unclear. OBJECTIVE: To determine whether RUNX3 expression is altered in sepsis and associated with patient prognosis, and to investigate its function and potential transcriptional regulatory targets in macrophages. METHODS: We analyzed RNA-seq data from sepsis patients to identify differentially expressed TFs and examined the prognostic impact of RUNX3 by Kaplan-Meier survival analysis. RUNX3 was stably overexpressed in RAW264.7 macrophages, and cell proliferation and apoptosis were assessed by EdU and flow cytometry assays. RNA-seq of RUNX3-overexpressing cells was performed to identify potential transcriptional regulatory targets, a subset of which was validated by RT-qPCR. RESULTS: RUNX3 expression was downregulated in sepsis patients, and low RUNX3 expression was associated with poor prognosis. RUNX3 overexpression promoted proliferation and inhibited apoptosis in RAW264.7 cells. Integrating RNA-seq with public RUNX3 binding data identified 89 potential transcriptional regulatory targets, among which Tgfbr3, Tgfbi, Il2rb, Gbp2, Gzmb, and Ptgds were confirmed as RUNX3-responsive by RT-qPCR. High expression of these targets was associated with favorable prognosis in sepsis patients. CONCLUSION: RUNX3 is closely associated with the prognosis of sepsis, and its overexpression promotes proliferation and suppresses apoptosis in macrophages, potentially by regulating downstream target genes, providing a novel perspective on sepsis pathogenesis.

Apoptosis

Comprehensive analysis of the expression, prognostic, and immune infiltration for COL4s in stomach adenocarcinoma.

BACKGROUND: Collagen (COL) genes, play a key role in tumor invasion and metastasis, are involved in tumor extracellular matrix (ECM)-receptor interactions and focal adhesion pathways. However, studies focusing on the diagnostic value of the COL4 family in stomach adenocarcinoma (STAD) are currently lacking. METHODS: The TCGA database was employed to retrieve the clinical features and RNA sequencing expression profiles of patients with STAD. We conducted an investigation to examine the expression disparities between STAD and adjacent normal tissues. Kaplan-Meier survival analysis was utilized to assess their prognostic significance, while Spearman correlation analysis was employed to determine their association with immune checkpoint genes and immunomodulatory molecules. Furthermore, GO and KEGG analyses were performed on the COL4s-related genes, revealing potential biological pathways through gene set enrichment analysis (GSEA). Subsequently, we explored the extent of immune infiltration of the COL4 family in STAD using the TIMER database. Lastly, the expression levels of the COL4 family in STAD were further validated through quantitative PCR (qPCR) and western blot techniques. RESULTS: The expression levels of COL4A1/2 were significantly upregulated, while COL4A5/6 were conspicuously downregulated in STAD. The survival analysis revealed that the upregulated COL4s indicated poorer overall survival, first progression and post-progression survival outcomes. Additionally, our findings demonstrated a positive correlation between the expressions of COL4A1/2/3/4 and the infiltration of immune cells, including CD8 + T cells, dendritic cells, macrophages, neutrophils and CD4 + T cells. Further correlation analysis uncovered a favorable association between the expression of COL4A1/2/3/4 and various crucial immunomodulatory molecules, immunological checkpoint molecules, and chemokines. Quantitative PCR analysis confirmed that the expression patterns of COL4A1/3/4/6 genes aligned with the finding from the TCGA database. However, gastric cancer cells exhibited downregulation of COL4A2. Consistently, the protein level of COL4A1 was elevated, whereas the protein level of COL4A2 was reduced in the gastric cancer cell lines. CONCLUSION: COL4s could potentially serve as biomarkers for diagnosing and predicting the prognosis of STAD.

Stomach Neoplasms