Si Yachen, Huang He, Pan Jing, Luo Xiaozheng, Zhang Jiangming, Guo Yan, Liu Dongmei
Department of Intensive Care Unit, The 940 Hospital of Joint Logistics Support Force of Chinese PLA, Lanzhou, China.
Department of Internal Medicine, The 944 Hospital of Joint Logistics Support Force of Chinese PLA, Jiuquan, China.
Sci Rep. 2024 Dec 28;14(1):30978. doi: 10.1038/s41598-024-82047-w.
High-altitude pulmonary edema (HAPE) is a life-threatening altitude sickness afflicting certain individuals after rapid ascent to high altitude above 2500 m. In the setting of HAPE, an early diagnosis is critical and currently based on clinical evaluation. The aim of this study was to utilize the metabolomics to identify the altered metabolic patterns and potential biomarkers for HAPE. Serum samples from HAPE patients (n = 24) and healthy controls (n = 21) were analyzed by gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS) to profile differential metabolites and explore dysregulated metabolic pathways. The correlation analysis and receiver operating characteristic (ROC) curve analysis were further performed to screen biomarkers for HAPE. A total of 119 differential metabolites between the control and HAPE groups were identified. Top dysregulated pathways included pyrimidine metabolism, citrate cycle, sulfur metabolism, phenylalanine metabolism and purine metabolism. After correlation analysis with clinical indices, 39 differential metabolites were obtained as potential biomarkers related to HAPE. Finally, 7 biomarkers, specifically S-nitroso-N-acetylcysteine, aminocaproic acid, emodin, threo-hydroxyaspartic acid, 6-hydroxynicotinic acid, 3-acetylphenol sulfate and cis-aconitic acid, were screened out through ROC analysis, which displayed high diagnostic accuracy for HAPE. Taken together, the altered serum metabolic profile is associated with the occurrence of HAPE. Diagnostic tests based on the biomarkers from metabolomics may hold promise as a strategy for early detection of HAPE.
高原肺水肿(HAPE)是一种危及生命的高原病,在快速上升到海拔2500米以上的高原后,某些个体易患此病。在HAPE的情况下,早期诊断至关重要,目前基于临床评估。本研究的目的是利用代谢组学来识别HAPE改变的代谢模式和潜在生物标志物。通过气相色谱 - 质谱联用(GC-MS)和液相色谱 - 质谱联用(LC-MS)分析HAPE患者(n = 24)和健康对照(n = 21)的血清样本,以分析差异代谢物并探索失调的代谢途径。进一步进行相关性分析和受试者工作特征(ROC)曲线分析,以筛选HAPE的生物标志物。在对照组和HAPE组之间共鉴定出119种差异代谢物。失调最严重的途径包括嘧啶代谢、柠檬酸循环、硫代谢、苯丙氨酸代谢和嘌呤代谢。与临床指标进行相关性分析后,获得39种差异代谢物作为与HAPE相关的潜在生物标志物。最后,通过ROC分析筛选出7种生物标志物,分别为S-亚硝基-N-乙酰半胱氨酸、氨基己酸、大黄素、苏糖型羟基天冬氨酸、6-羟基烟酸、3-乙酰苯酚硫酸盐和顺乌头酸,它们对HAPE显示出高诊断准确性。综上所述,血清代谢谱的改变与HAPE的发生有关。基于代谢组学生物标志物的诊断测试有望成为早期检测HAPE的一种策略。