AI Article Synopsis

  • - ARDS, especially when combined with AKI, has high mortality rates, and there's a noticeable gap in understanding the metabolic changes that occur in these patients, which might contribute to poor recovery outcomes.
  • - The study utilized nuclear magnetic resonance spectroscopy to analyze serum samples from 75 ARDS patients, identifying nine key metabolites that showed distinct differences between those with and without AKI.
  • - Findings indicated significant metabolic dysregulation linked to complications like hyperammonemia and mitochondrial dysfunction, suggesting that understanding these alterations could lead to personalized treatment strategies in critical care to improve patient outcomes.

Article Abstract

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. 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.

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Source
http://dx.doi.org/10.1021/acs.jproteome.4c00138DOI Listing

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