Centre of Biomedical Research, SGPGIMS Campus, Raebareli Road, Lucknow 226014, India.
Academy of Scientific and Innovative Research, Ghaziabad, Uttar Pradesh 201002, India.
J Proteome Res. 2024 Oct 4;23(10):4216-4228. doi: 10.1021/acs.jproteome.4c00138. Epub 2024 Jul 30.
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.
急性呼吸窘迫综合征(ARDS)与高死亡率相关,如果伴有急性肾损伤(AKI),死亡率则进一步升高。目前,缺乏全面的研究来充分阐明导致不良结局的伴有 AKI 的 ARDS 患者的代谢失调。我们假设代谢组学可以成为一种有力的工具,突出 ARDS 患者和无 AKI 患者代谢谱的差异,揭示未被识别的病理生理机制。使用氢核磁共振波谱对 75 名患者的血清样本进行分析。使用多元分析获得两组的明显聚类,作为研究的主要结果。确定了 9 种代谢物水平的明显变化。途径分析显示五个重要循环的失调,导致各种并发症,如高氨血症、更高的能量需求和线粒体功能障碍引起的氧化应激。确定的代谢物也与临床评分有显著相关性,表明严重程度。这项研究表明,代谢物浓度的变化突出了两组患者病理生理学的差异及其与结局的关系,表明朝着个性化医疗方法的方向发展,在重症监护环境中有很大的应用前景,可以改善临床结局。