Identifying propionate metabolism-related genes as biomarkers of sepsis development and therapeutic targets

• Published in: Scientific reports Vol. 15; no. 1; pp. 24531 - 9
• Main Authors: Yang, Lechen, Shang, Weifeng, Chen, Dongjie, Qian, Hang, Zhang, Sheng, Pan, Xiaojun, Huang, Sisi, Liu, Jiao, Chen, Dechang
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 08.07.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 631/250; 692/308/2056; Abdomen; Algorithms; Archives & records; Bcl-6 protein; Biomarkers - metabolism; Bone morphogenetic protein receptor type II; CDX2 protein; Cell differentiation; Cell interactions; Communication; Datasets; Diagnostic modeling; FOXO4 protein; Gene expression; Gene Expression Profiling; Gene Regulatory Networks; Humanities and Social Sciences; Humans; Interferon regulatory factor 4; Intestinal microflora; Laboratory animals; Leukocytes (mononuclear); Leukocytes (neutrophilic); Leukocytes, Mononuclear - metabolism; Lymphocytes B; Machine learning; Male; Metabolism; Microbiota; multidisciplinary; Pathophysiology; Performance evaluation; Peripheral blood mononuclear cells; Plasma cells; Propionate metabolism; Propionates - metabolism; Propionic acid; Science; Science (multidisciplinary); Sepsis; Sepsis - diagnosis; Sepsis - genetics; Sepsis - metabolism; Single-Cell Analysis; Software; Statistical analysis; Therapeutic targets; Transcription Factors - genetics; Transcription Factors - metabolism; Wound healing; Propionate metabolism; Plasma cells; Sepsis; Diagnostic modeling; Machine learning

The treatment of sepsis is challenging due to unclear mechanisms. Propionate is increasingly seen as critical to sepsis pathophysiology by bridging gut microbiota and immunity, but the mechanisms remain unclear. Our study analysed differences in propionate metabolism in peripheral blood mononuclear...