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Discovery and longitudinal evaluation of candidate biomarkers for ischaemic stroke by mass spectrometry-based proteomics


Dagonnier, M and Cooke, IR and Faou, P and Sidon, TK and Dewey, HM and Donnan, GA and Howells, DW, Discovery and longitudinal evaluation of candidate biomarkers for ischaemic stroke by mass spectrometry-based proteomics, Biomarker Insights, 12 pp. 1-11. ISSN 1177-2719 (2017) [Refereed Article]


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Copyright 2017 The Author(s). Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (

DOI: doi:10.1177/1177271917749216


Application of acute therapies such as thrombolysis for ischaemic stroke (IS) is constrained because of diagnostic uncertainty and the dynamic nature of stroke biology. To investigate changes in blood proteins after stroke and as a result of thrombolysis treatment we performed label-free quantitative proteomics on serum samples using high-resolution mass spectrometry and long high-performance liquid chromatography gradient (5 hours) combined with a 50-cm column to optimise the peptide separation. We identified (false discovery rate [FDR]: 1%) and quantified a total of 574 protein groups from a total of 92 samples from 30 patients. Ten patients were treated by thrombolysis as part of a randomised placebo-controlled trial and up to 5 samples were collected from each individual at different time points after stroke. We identified 26 proteins differently expressed by treatment group (FDR: 5%) and significant changes of expression over time for 23 proteins (FDR: 10%). Molecules such as fibrinogen and C-reactive protein showed expression profiles with a high-potential clinical utility in the acute stroke setting. Protein expression profiles vary acutely in the blood after stroke and have the potential to allow the construction of a stroke clock and to have an impact on IS treatment decision making.

Item Details

Item Type:Refereed Article
Keywords:stroke, biomarker, protein expression, mass spectrometry
Research Division:Biomedical and Clinical Sciences
Research Group:Neurosciences
Research Field:Neurology and neuromuscular diseases
Objective Division:Health
Objective Group:Clinical health
Objective Field:Diagnosis of human diseases and conditions
UTAS Author:Howells, DW (Professor David Howells)
ID Code:152822
Year Published:2017
Web of Science® Times Cited:7
Deposited By:Research Performance and Analysis
Deposited On:2022-08-24
Last Modified:2022-09-16
Downloads:1 View Download Statistics

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