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Proteomic analysis of serum samples after cardiac arrest : Rationale and design of a TTM-trial substudy

Lileikyte, Gabriele LU orcid ; Bakochi, Anahita LU orcid ; Isaksson, Marc LU ; Årman, Filip LU ; Moseby-Knappe, Marion LU ; Malmström, Johan LU orcid and Nielsen, Niklas LU (2025) In Resuscitation Plus 25.
Abstract

Background: A pilot study investigating proteomic profiles from 78 patients from the Target Temperature Management after Out-of-hospital Cardiac arrest (TTM) trial revealed 35 proteins associated to functional outcome, and six proteins associated to targeted temperature management at 33 °C. We present the protocol for a study investigating proteomic profiles in the full cohort of the TTM-trial biobank. The aim is to stratify protein profiles based on survival, functional outcome, targeted temperature management, and MIRACLE2 score in order to search for potential novel biomarkers. Methods: All patients with available serum samples at 24, 48, and/or 72 h after return of spontaneous circulation (N = 682 patients and N = 1882 samples) will... (More)

Background: A pilot study investigating proteomic profiles from 78 patients from the Target Temperature Management after Out-of-hospital Cardiac arrest (TTM) trial revealed 35 proteins associated to functional outcome, and six proteins associated to targeted temperature management at 33 °C. We present the protocol for a study investigating proteomic profiles in the full cohort of the TTM-trial biobank. The aim is to stratify protein profiles based on survival, functional outcome, targeted temperature management, and MIRACLE2 score in order to search for potential novel biomarkers. Methods: All patients with available serum samples at 24, 48, and/or 72 h after return of spontaneous circulation (N = 682 patients and N = 1882 samples) will be included in the liquid chromatography and tandem mass spectrometry analysis using diaPASEF, combining data-independent-acquisition of spectra with parallel accumulation-serial fragmentation. Statistical analysis will include data normalisation, exploratory principal component analysis, and differential expression analysis. Changes in serum protein abundance will be analysed according to survival and binary functional outcome (modified Rankin Scale 0–3 vs. 4–6) at six-months after randomisation, randomisation to target temperature of 33 °C or 36 °C, and the MIRACLE2 score. Secondary stratifications will include sex, age, time to return of spontaneous circulation, shockable vs. non-shockable initial rhythm, circulatory shock on admission, and presumed cause of death. Conclusion: This prospective study will provide information about proteomic profiles after cardiac arrest and may give insight for identification of novel biomarkers for prediction of outcome.

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author
; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Heart arrest, Hypothermic temperature control, Out-of-hospital cardiac arrest, Prognostication, Proteomics, Targeted temperature management
in
Resuscitation Plus
volume
25
article number
101014
publisher
Elsevier
external identifiers
  • scopus:105009749852
ISSN
2666-5204
DOI
10.1016/j.resplu.2025.101014
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2025 The Author(s)
id
74d97190-6f8e-43e0-85ad-25b15a22f18a
date added to LUP
2025-07-16 09:43:50
date last changed
2025-07-17 16:06:50
@article{74d97190-6f8e-43e0-85ad-25b15a22f18a,
  abstract     = {{<p>Background: A pilot study investigating proteomic profiles from 78 patients from the Target Temperature Management after Out-of-hospital Cardiac arrest (TTM) trial revealed 35 proteins associated to functional outcome, and six proteins associated to targeted temperature management at 33 °C. We present the protocol for a study investigating proteomic profiles in the full cohort of the TTM-trial biobank. The aim is to stratify protein profiles based on survival, functional outcome, targeted temperature management, and MIRACLE2 score in order to search for potential novel biomarkers. Methods: All patients with available serum samples at 24, 48, and/or 72 h after return of spontaneous circulation (N = 682 patients and N = 1882 samples) will be included in the liquid chromatography and tandem mass spectrometry analysis using diaPASEF, combining data-independent-acquisition of spectra with parallel accumulation-serial fragmentation. Statistical analysis will include data normalisation, exploratory principal component analysis, and differential expression analysis. Changes in serum protein abundance will be analysed according to survival and binary functional outcome (modified Rankin Scale 0–3 vs. 4–6) at six-months after randomisation, randomisation to target temperature of 33 °C or 36 °C, and the MIRACLE2 score. Secondary stratifications will include sex, age, time to return of spontaneous circulation, shockable vs. non-shockable initial rhythm, circulatory shock on admission, and presumed cause of death. Conclusion: This prospective study will provide information about proteomic profiles after cardiac arrest and may give insight for identification of novel biomarkers for prediction of outcome.</p>}},
  author       = {{Lileikyte, Gabriele and Bakochi, Anahita and Isaksson, Marc and Årman, Filip and Moseby-Knappe, Marion and Malmström, Johan and Nielsen, Niklas}},
  issn         = {{2666-5204}},
  keywords     = {{Heart arrest; Hypothermic temperature control; Out-of-hospital cardiac arrest; Prognostication; Proteomics; Targeted temperature management}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Resuscitation Plus}},
  title        = {{Proteomic analysis of serum samples after cardiac arrest : Rationale and design of a TTM-trial substudy}},
  url          = {{http://dx.doi.org/10.1016/j.resplu.2025.101014}},
  doi          = {{10.1016/j.resplu.2025.101014}},
  volume       = {{25}},
  year         = {{2025}},
}