Literature DB >> 29668333

Blood biomarkers in ischemic stroke: potential role and challenges in clinical practice and research.

Konstantinos Makris1, Alexander Haliassos2, Maria Chondrogianni3, Georgios Tsivgoulis3.   

Abstract

Fast and accurate diagnosis of stroke is crucial for the immediate application of the right therapy to patients. However, rapid diagnosis is still a challenge since an ischemic stroke cannot be identified based only on clinical assessment. CT or MRI imaging is required to rule out hemorrhagic stroke since thrombolytic therapy can lead to increased intracranial bleeding and further aggravation of hemorrhagic stroke. In addition, clinical situations that imitate the signs and symptoms of stroke may also impede the rapid diagnosis and treatment of stroke victims. It is therefore of value to discover non-invasive tests that aim to quickly distinguish stroke from stroke mimics and distinguish ischemic from hemorrhagic stroke. Identifying blood biomarkers of stroke is an active area of research since their potential use is not limited to diagnosis and differentiation, but can be applied to prognosis and patient monitoring - monitoring the effectiveness of applied therapy and/or diagnose possible complications. However, their use has been limited so far not only for reasons related to patients and the disease (heterogeneity of stroke etiology, the complexity of the ischemic cascade, the impact of the blood-brain barrier (BBB) on diffusion of blood biomarkers, and difficulties in obtaining consent from stroke patients) but also for reasons that related to laboratory measurement of these biomarkers (pre-analytical and analytical issues as well as interpretation of laboratory measurements). Until today, many biomarkers have been identified, however none so far have shown sufficient sensitivity and specificity in order to be used in the clinical setting. In this review, we will focus on ischemic stroke and we aim to highlight these problems and also investigate if these are due to stroke complexity or due to our limited knowledge of pre-analytical requirements for many of these molecules and the questionable quality of the assays used.

Entities:  

Keywords:  Stroke; harmonization; ischemic stroke; standardization; stroke biomarkers; stroke pathophysiology

Mesh:

Substances:

Year:  2018        PMID: 29668333     DOI: 10.1080/10408363.2018.1461190

Source DB:  PubMed          Journal:  Crit Rev Clin Lab Sci        ISSN: 1040-8363            Impact factor:   6.250


  30 in total

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Review 3.  Metabolomics of ischemic stroke: insights into risk prediction and mechanisms.

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Review 4.  Detection, Diagnosis and Treatment of Acute Ischemic Stroke: Current and Future Perspectives.

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Journal:  Front Med Technol       Date:  2022-06-24

5.  The association between serum glucose to potassium ratio on admission and short-term mortality in ischemic stroke patients.

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Review 6.  Blood Biomarkers for Stroke Diagnosis and Management.

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Journal:  Neuromolecular Med       Date:  2019-03-04       Impact factor: 3.843

7.  Distinct proteomic profiles in monozygotic twins discordant for ischaemic stroke.

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Journal:  Mol Cell Biochem       Date:  2019-01-29       Impact factor: 3.396

8.  Carotid intima media thickness measurements coupled with stroke severity strongly predict short-term outcome in patients with acute ischemic stroke: a machine learning study.

Authors:  Ana Lucia Cruz Fürstenberger Lehmann; Daniela Frizon Alfieri; Maria Caroline Martins de Araújo; Emanuelle Roberto Trevisani; Maisa Rocha Nagao; Francisco Spessatto Pesente; Jair Roberto Gelinski; Leonardo Bodner de Freitas; Tamires Flauzino; Márcio Francisco Lehmann; Marcell Alysson Batisti Lozovoy; José Wander Breganó; Andréa Name Colado Simão; Michael Maes; Edna Maria Vissoci Reiche
Journal:  Metab Brain Dis       Date:  2021-08-04       Impact factor: 3.584

9.  Immune-inflammatory, coagulation, adhesion, and imaging biomarkers combined in machine learning models improve the prediction of death 1 year after ischemic stroke.

Authors:  Ana Lucia Cruz Fürstenberger Lehmann; Daniela Frizon Alfieri; Maria Caroline Martins de Araújo; Emanuelle Roberto Trevisani; Maisa Rocha Nagao; Francisco Spessatto Pesente; Jair Roberto Gelinski; Leonardo Bodner de Freitas; Tamires Flauzino; Márcio Francisco Lehmann; Marcell Alysson Batisti Lozovoy; José Wander Breganó; Andréa Name Colado Simão; Michael Maes; Edna Maria Vissoci Reiche
Journal:  Clin Exp Med       Date:  2021-06-12       Impact factor: 3.984

10.  Development and Validation of a LASSO Prediction Model for Better Identification of Ischemic Stroke: A Case-Control Study in China.

Authors:  Zirui Meng; Minjin Wang; Shuo Guo; Yanbing Zhou; Mingxue Zheng; Miaonan Liu; Yongyu Chen; Zhumiao Yang; Bi Zhao; Binwu Ying
Journal:  Front Aging Neurosci       Date:  2021-07-08       Impact factor: 5.750

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