Differential Protein Expression among Two Different Ovine ARDS Phenotypes-A Preclinical Randomized Study.
Karin WildiMahe BouquetCarmen AinolaSamantha LivingstoneSebastiano Maria ColomboSilver HeinsarNoriko SatoKei SatoEmily WilsonGabriella AbbateMargaret R PassmoreKieran HyslopKeibun LiuGianluigi Li BassiJacky Y SuenJohn F FraserPublished in: Metabolites (2022)
Despite decades of comprehensive research, Acute Respiratory Distress Syndrome (ARDS) remains a disease with high mortality and morbidity worldwide. The discovery of inflammatory subphenotypes in human ARDS provides a new approach to study the disease. In two different ovine ARDS lung injury models, one induced by additional endotoxin infusion (phenotype 2), mimicking some key features as described in the human hyperinflammatory group, we aim to describe protein expression among the two different ovine models. Nine animals on mechanical ventilation were included in this study and were randomized into (a) phenotype 1, n = 5 (Ph1) and (b) phenotype 2, n = 4 (Ph2). Plasma was collected at baseline, 2, 6, 12, and 24 h. After protein extraction, data-independent SWATH-MS was applied to inspect protein abundance at baseline, 2, 6, 12, and 24 h. Cluster analysis revealed protein patterns emerging over the study observation time, more pronounced by the factor of time than different injury models of ARDS. A protein signature consisting of 33 proteins differentiated among Ph1/2 with high diagnostic accuracy. Applying network analysis, proteins involved in the inflammatory and defense response, complement and coagulation cascade, oxygen binding, and regulation of lipid metabolism were activated over time. Five proteins, namely LUM, CA2, KNG1, AGT, and IGJ, were more expressed in Ph2.
Keyphrases
- acute respiratory distress syndrome
- mechanical ventilation
- extracorporeal membrane oxygenation
- intensive care unit
- endothelial cells
- network analysis
- respiratory failure
- binding protein
- protein protein
- machine learning
- cardiovascular disease
- mass spectrometry
- low dose
- multiple sclerosis
- small molecule
- type diabetes
- open label
- amino acid
- stem cells
- risk factors
- coronary artery disease
- transcription factor
- phase ii
- single cell
- antibiotic resistance genes