Targeted plasma metabolomics in resuscitated comatose out-of-hospital cardiac arrest patients

医学 自然循环恢复 柠檬酸循环 三羧酸 代谢组学 内科学 缺血 新陈代谢 复苏 心脏病学 麻醉 心肺复苏术 生物信息学 生物
作者
Rasmus P. Beske,H Henriksen,Laust Obling,Jesper Kjærgaard,John Bro-Jeppesen,Niklas Nielsen,Pär I Johanson,Christian Hassager
出处
期刊:Resuscitation [Elsevier]
卷期号:179: 163-171 被引量:4
标识
DOI:10.1016/j.resuscitation.2022.06.010
摘要

Out-of-hospital cardiac arrest (OHCA) is a leading cause of death. Even if successfully resuscitated, mortality remains high due to ischemic and reperfusion injury (I/R). The oxygen deprivation leads to a metabolic derangement amplified upon reperfusion resulting in an uncontrolled generation of reactive oxygen species in the mitochondria triggering cell death mechanisms. The understanding of I/R injury in humans following OHCA remains sparse, with no existing treatment to attenuate the reperfusion injury.To describe metabolic derangement in patients following resuscitated OHCA.Plasma from consecutive resuscitated unconscious OHCA patients drawn at hospital admission were analyzed using ultra-performance-liquid-mass-spectrometry. Sixty-one metabolites were prespecified for quantification and studied.In total, 163 patients were included, of which 143 (88%) were men, and the median age was 62 years (53-68). All measured metabolites from the tricarboxylic acid (TCA) cycle were significantly higher in non-survivors vs. survivors (180-days survival). Hierarchical clustering identified four clusters (A-D) of patients with distinct metabolic profiles. Cluster A and B had higher levels of TCA metabolites, amino acids and acylcarnitine species compared to C and D. The mortality was significantly higher in cluster A and B (A:62% and B:59% vs. C:21 % and D:24%, p < 0.001). Cluster A and B had longer time to return of spontaneous circulation (A:33 min (21-43), B:27 min (24-35), C:18 min (13-28), and D:18 min (12-25), p < 0.001).Circulating levels of metabolites from the TCA cycle best described the variance between survivors and non-survivors. Four different metabolic phenotypes with significantly different mortality were identified.

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