Single-cell combined with transcriptome sequencing to explore the molecular mechanism of cell communication in idiopathic pulmonary fibrosis.

Idiopathic pulmonary fibrosis (IPF) is a common, chronic, and progressive lung disease that severely impacts human health and survival. However, the intricate molecular underpinnings of IPF remains elusive. This study aims to delve into the nuanced molecular interplay of cellular interactions in IPF, thereby laying the groundwork for innovative therapeutic approaches in the clinical field of IPF. Sophisticated bioinformatics methods were employed to identify crucial biomarkers essential for the progression of IPF. The GSE122960 single-cell dataset was obtained from the Gene Expression Omnibus (GEO) compendium, and intercellular communication potentialities were scrutinized via CellChat. The random survival forest paradigm was established using the GSE70866 dataset. Quintessential genes were selected through Kaplan-Meier (KM) curves, while immune infiltration examinations, functional enrichment critiques and nomogram paradigms were inaugurated. Analysis of intercellular communication revealed an intimate potential connections between macrophages and various cell types, pinpointing five cardinal genes influencing the trajectory and prognosis of IPF. The nomogram paradigm, sculpted from these seminal genes, exhibits superior predictive prowess. Our research meticulously identified five critical genes, confirming their intimate association with the prognosis, immune infiltration and transcriptional governance of IPF. Interestingly, we discerned these genes' engagement with the EPITHELIAL_MESENCHYMAL_TRANSITION signalling pathway, which may enhance our understanding of the molecular complexity of IPF.

Exosomal miR-127-5p from BMSCs alleviated sepsis-related acute lung injury by inhibiting neutrophil extracellular trap formation.

Neutrophil extracellular traps (NETs) play an important role in sepsis-related acute lung injury (ALI). Bone marrow mesenchymal stem cells (BMSCs)-derived exosomes and miRNA are becoming promising agents for the treatment of ALI. The current study aimed to elucidate the mechanism by BMSCs-derived exosomes carrying miR-127-5p inhibiting to the formation of NETs in sepsis-related ALI. We successfully isolated exosomes from BMSCs and confirmed that miR-127-5p was enriched in the exosomes. ALI mice treated with BMSCs-derived exosomes histologically improved, and the release of NETs and inflammatory factors in lung tissue and peripheral blood of mice also decreased compared with LPS group, while the protective effect of exosomes was attenuated after the knockdown of miR-127-5p. Using dual-luciferase reporter assay and RNA immunoprecipitation (RIP) assay, we identified CD64 as a direct target of miR-127-5p. Meanwhile, BMSCs-derived exosomes can synergize with anti-CD64 mab in ALI mice to reduce tissue damage, inhibit the release of inflammatory factors and NETs formation. The synergistic effect of exosomes was attenuated when miR-127-5p was down-regulated. These findings suggest that exosomal miR-127-5p derived from BMSCs is a potential therapeutic agent for treatment of sepsis-induced ALI through reducing NETs formation by targeting CD64.