Integrative analysis of metabolomics and transcriptomics to uncover biomarkers in sepsis

• Published in: Scientific reports Vol. 14; no. 1; pp. 9676 - 11
• Main Authors: Chen, Wenhao, Guo, Wentao, Li, Yang, Chen, Muhu
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 27.04.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 631/45/147; 631/45/320; 631/45/500; 692/53; 692/699; Adult; Aged; Amino acids; Biomarkers; Biomarkers - blood; CD44 antigen; Chromatography, Liquid; Female; Gene Expression Profiling; Gene set enrichment analysis; Humanities and Social Sciences; Humans; Immune response; Immunoregulation; Inflammation; Liquid chromatography; Macrophages; Male; Mass spectrometry; Mass spectroscopy; Meta-analysis; Metabolic pathways; Metabolites; Metabolomics; Metabolomics - methods; Middle Aged; multidisciplinary; Peripheral blood; Quality control; Ribonucleic acid; RNA; RNA sequencing; Science; Science (multidisciplinary); Sepsis; Sepsis - blood; Sepsis - genetics; Sepsis - metabolism; Single-cell RNA sequencing; Systemic inflammatory response syndrome; Systemic Inflammatory Response Syndrome - blood; Systemic Inflammatory Response Syndrome - diagnosis; Systemic Inflammatory Response Syndrome - genetics; Systemic Inflammatory Response Syndrome - metabolism; Tandem Mass Spectrometry; Transcriptome; Transcriptomes; Transcriptomics; RNA sequencing; Biomarkers; Metabolomics; Sepsis; Single-cell RNA sequencing

To utilize metabolomics in conjunction with RNA sequencing to identify biomarkers in the blood of sepsis patients and discover novel targets for diagnosing and treating sepsis. In January 2019 and December 2020, blood samples were collected from a cohort of 16 patients diagnosed with sepsis and 11 p...