Unveiling Pathophysiological Insights: Serum Metabolic Dysregulation in Acute Respiratory Distress Syndrome Patients with Acute Kidney Injury.

Autor: Singh A; Centre of Biomedical Research, SGPGIMS Campus, Raebareli Road, Lucknow 226014, India.; Academy of Scientific and Innovative Research, Ghaziabad, Uttar Pradesh 201002, India., Siddiqui MA; Centre of Biomedical Research, SGPGIMS Campus, Raebareli Road, Lucknow 226014, India., Pandey S; Centre of Biomedical Research, SGPGIMS Campus, Raebareli Road, Lucknow 226014, India.; Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, Maryland 212001, United States., Azim A; Department of Critical Care Medicine, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow 226014, India., Sinha N; Centre of Biomedical Research, SGPGIMS Campus, Raebareli Road, Lucknow 226014, India.; Academy of Scientific and Innovative Research, Ghaziabad, Uttar Pradesh 201002, India.
Jazyk: angličtina
Zdroj: Journal of proteome research [J Proteome Res] 2024 Oct 04; Vol. 23 (10), pp. 4216-4228. Date of Electronic Publication: 2024 Jul 30.
DOI: 10.1021/acs.jproteome.4c00138
Abstrakt: Acute respiratory distress syndrome (ARDS) is associated with high mortality rates, which are further exacerbated when accompanied by acute kidney injury (AKI). Presently, there is a lack of comprehensive studies thoroughly elucidating the metabolic dysregulation in ARDS patients with AKI leading to poor outcomes. We hypothesized that metabolomics can be a potent tool to highlight the differences in the metabolic profile unraveling unidentified pathophysiological mechanisms of ARDS patients with and without AKI. 1 H nuclear magnetic resonance spectroscopy was used to identify key metabolites in the serum samples of 75 patients. Distinct clusters of both groups were obtained as the study's primary outcome using multivariate analysis. Notable alternations in the levels of nine metabolites were identified. Pathway analysis revealed the dysregulation of five significant cycles, which resulted in various complications, such as hyperammonemia, higher energy requirements, and mitochondrial dysfunction causing oxidative stress. Identified metabolites also showed a significant correlation with clinical scores, indicating severity. This study shows the alterations in the metabolite concentration highlighting the difference in the pathophysiology of both patient groups and its association with outcome, pointing in the direction of a personalized medicine approach and holding significant promise for application in critical care settings to improve clinical outcomes.
Databáze: MEDLINE