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152822 - Discovery and longitudinal evaluation of candidate biomarkers for ischaemic stroke by mass spectrometry-based proteomics.pdf (375.28 kB)

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

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journal contribution
posted on 2023-05-21, 12:54 authored by Dagonnier, M, Cooke, IR, Faou, P, Sidon, TK, Dewey, HM, Donnan, GA, David Howells
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.


Publication title

Biomarker Insights








Tasmanian School of Medicine


Sage Publications Ltd.

Place of publication

United Kingdom

Rights statement

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 (

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  • Open

Socio-economic Objectives

Diagnosis of human diseases and conditions

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