Biochemical, biomechanical and imaging biomarkers of ischemic stroke: Time for integrative thinking

Meryem Şahin Erdoğan, Esra Sümer Arpak, Cemre Su Kaya Keles, Federico Villagra, Esin Öztürk Işık, Nazire Afşar, Can A. Yucesoy, Luis A.J. Mur, Otar Akanyeti, Hale Saybaşılı*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Stroke is one of the leading causes of adult disability affecting millions of people worldwide. Post-stroke cognitive and motor impairments diminish quality of life and functional independence. There is an increased risk of having a second stroke and developing secondary conditions with long-term social and economic impacts. With increasing number of stroke incidents, shortage of medical professionals and limited budgets, health services are struggling to provide a care that can break the vicious cycle of stroke. Effective post-stroke recovery hinges on holistic, integrative and personalized care starting from improved diagnosis and treatment in clinics to continuous rehabilitation and support in the community. To improve stroke care pathways, there have been growing efforts in discovering biomarkers that can provide valuable insights into the neural, physiological and biomechanical consequences of stroke and how patients respond to new interventions. In this review paper, we aim to summarize recent biomarker discovery research focusing on three modalities (brain imaging, blood sampling and gait assessments), look at some established and forthcoming biomarkers, and discuss their usefulness and complementarity within the context of comprehensive stroke care. We also emphasize the importance of biomarker guided personalized interventions to enhance stroke treatment and post-stroke recovery.

Original languageEnglish
Number of pages30
JournalEuropean Journal of Neuroscience
Early online date14 Jan 2024
Publication statusE-pub ahead of print - 14 Jan 2024


  • clinical outcome
  • ischemic stroke
  • blood biomarkers
  • magnetic resonance imaging
  • gait analysis


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