Systemic metabolic changes caused by inflammation progression in patients with acute lung injury |
Received:October 31, 2021 Revised:January 18, 2022 Click here to download the full text |
Citation of this paper:LIU Yang-yang,YAO Jie-ran,LIN Jia-ying,DING Ying-ying,FAN Yu,CANG Jing,MAO Hai-lei.Systemic metabolic changes caused by inflammation progression in patients with acute lung injury[J].Chinese Journal of Clinical Medicine,2022,29(4):565-571 |
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Author Name | Affiliation | E-mail | LIU Yang-yang | Department of Anesthesiology and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China | | YAO Jie-ran | Department of Anesthesiology and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China | | LIN Jia-ying | Department of Anesthesiology and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China | | DING Ying-ying | Department of Anesthesiology and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China | | FAN Yu | Department of Anesthesiology and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China | | CANG Jing | Department of Anesthesiology and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China | cang.jing@zs-hospital.sh.cn | MAO Hai-lei | Department of Anesthesiology and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China | mao.hailei@zs-hospital.sh.cn |
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Abstract:Objective To analyze the systemic metabolic changes of patients with uncontrolled inflammation response after acute lung injury (ALI) happened. Methods Traumatic patients with systemic inflammatory response syndrome (SIRS), ALI and acute respiratory distress syndrome (ARDS) were selected as subjects, the serum 1H-NMR spectra were recorded on a Varian Unity INOVA-600 spectrometer and analyzed by pattern recognition analyses. Results The partial least squares-discriminant analysis (PLS-DA) could distinguish the migration process of metabolic patterns from SIRS to ALI and even ARDS. Corresponding metabolite assignment indicated that NMR profiles responsible for SIRS discrimination were distributed in low chemical shift regions, mainly composed of ketogenic amino acids such as tyrosine and lysine, while δ1.02-2.50 and δ3.02-4.14 integral regions for ALI/ARDS patients, principally consisted of various proton signals of lactate, valine, arginine, glutamic acid, and other glycogenic amino acids, pyruvate, creatine, along with fatty acyl chains and glycerol backbone of lipids. Pathway enrichment analyses of metabolites revealed the occurrence of ALI/ARDS were mainly related to the activation of glycolysis, gluconeogenesis, pyruvate metabolism, glyceride metabolism, arginine metabolism, and primary bile acid synthesis. This result indicates that the systemic metabolic disorder of patients with acute lung injury caused by uncontrolled inflammatory response was characterized by hypercatabolism under hypoxia. Conclusions The serum NMR-based metabonomic profiles could reflect the overall metabolic changes of patients after lung damage, which will contribute to surveillance and elucidation mechanism of ALI/ARDS. |
keywords:acute lung injury inflammation progression nuclear magnetic resonance spectroscopy metabonomics acute respiratory distress syndrome |
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