Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

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

Paulin Beske, Rasmus ; Henriksen, Hanne H. ; Obling, Laust ; Kjærgaard, Jesper ; Bro-Jeppesen, John ; Nielsen, Niklas LU ; Johanson, Pär I. and Hassager, Christian (2022) In Resuscitation 179. p.163-171
Abstract

Background: 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. Aim: To describe metabolic derangement in patients following resuscitated OHCA. Methods: Plasma from consecutive resuscitated unconscious OHCA patients drawn at hospital admission were analyzed using... (More)

Background: 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. Aim: To describe metabolic derangement in patients following resuscitated OHCA. Methods: 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. Results: 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). Conclusion: 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.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Lipid metabolites, Metabolomics, Out-of-hospital cardiac arrest, Tricarboxylic acid
in
Resuscitation
volume
179
pages
9 pages
publisher
Elsevier
external identifiers
  • pmid:35753507
  • scopus:85133399006
ISSN
0300-9572
DOI
10.1016/j.resuscitation.2022.06.010
language
English
LU publication?
yes
id
9d475f92-3021-4d3e-a8b1-f2cecfdb8a80
date added to LUP
2022-10-04 09:25:51
date last changed
2024-06-27 17:27:00
@article{9d475f92-3021-4d3e-a8b1-f2cecfdb8a80,
  abstract     = {{<p>Background: 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. Aim: To describe metabolic derangement in patients following resuscitated OHCA. Methods: 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. Results: 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 &lt; 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 &lt; 0.001). Conclusion: 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.</p>}},
  author       = {{Paulin Beske, Rasmus and Henriksen, Hanne H. and Obling, Laust and Kjærgaard, Jesper and Bro-Jeppesen, John and Nielsen, Niklas and Johanson, Pär I. and Hassager, Christian}},
  issn         = {{0300-9572}},
  keywords     = {{Lipid metabolites; Metabolomics; Out-of-hospital cardiac arrest; Tricarboxylic acid}},
  language     = {{eng}},
  month        = {{10}},
  pages        = {{163--171}},
  publisher    = {{Elsevier}},
  series       = {{Resuscitation}},
  title        = {{Targeted plasma metabolomics in resuscitated comatose out-of-hospital cardiac arrest patients}},
  url          = {{http://dx.doi.org/10.1016/j.resuscitation.2022.06.010}},
  doi          = {{10.1016/j.resuscitation.2022.06.010}},
  volume       = {{179}},
  year         = {{2022}},
}