The 10th Asia-Oceania Mass Spectrometry Conference (AOMSC2025) - organized by the Mass Spectrometry Society of Japan

Abstract

Timetable
Download Conference Program
Download All Abstracts
Zoom Access
Corporate Program

Poster Presentations

Day 4, June 25(Wed.) 

Room P (Maesato East, Foyer, Ocean Wing)

Using Proteomics and Metabolomics Approach to Explore Potential Early Biomarkers in Acute Respiratory Distress Syndrome Model Mice

(1Graduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taiwan, 2Department of Anesthesiology and Integrative Research Center for Critical Care, Wan Fang Hospital, Taipei Medical University, Taiwan, 3Department of Biomedical Sciences and Engineering, National Central University, Taiwan, 4Department of Biochemistry and Molecular Cell Biology, School of Medicine, College of Medicine, Taipei Medical University, Taiwan)
oPo-Tsang Chen1, Chun-Jen Huang2, Yi-Chiung Hsu3, I-Lin Tsai4

Acute respiratory distress syndrome (ARDS) is an inflammatory lung injury characterized by increased pulmonary vascular permeability and loss of aerated lung tissue. Extracellular vesicles (EVs) are membrane-bound structures that carry proteins, lipids, and mRNAs. Patients with ARDS often exhibit noncardiogenic pulmonary edema, low alveolar ventilation/perfusion ratios, and increased permeability of alveolar and endothelial cells, leading to symptoms like dyspnea and shortness of breath. In this study, we conducted a proteomics analysis of EVs and lung tissue from animal models of aspiration pneumonia, lipopolysaccharide-induced ARDS, and COVID-19 ARDS. We identified 10 differentially expressed proteins (DEPs) in plasma-derived EVs and 125 DEPs in lung tissues, with overlapping DEPs considered potential biomarkers. Functional pathway analysis using the Reactome database revealed that plasma-derived EVs were enriched in platelet degranulation, while lung tissues showed enrichment in neutrophil degranulation pathways. Additionally, metabolomic pathway analysis indicated significant involvement of arachidonic acid metabolism across the ARDS models. These findings enhance the understanding of ARDS mechanisms and potential biomarkers for diagnosis and treatment.