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20. Trends in Biomarkers Development for Stroke
Abstract
Recent progress in biomarker research, neuromethods development, and clinical practice has contributed to advances in stroke diagnoses and treatment optimization. At present, no “perfect” biomarker(s) exists for stroke. A “perfect” biomarker could assist in risk assessment, predict and distinguish the stroke from mimicking conditions, and measure disease progression. Neurofunctional biomarkers, structural imaging biomarkers, and molecular biologic markers all have the potential to revolutionize the screening, diagnosis, prognosis, and prediction of disease recurrence as well as therapeutic monitoring of stroke and transient ischemic attack (TIA).
Key words
Biomarkers developmentStrokeTransient ischemic attackNeurofunctional biomarkersStructural biomarkersMolecular biomarkersNeuromethods1 Introduction
A biomarker is defined as “any substance, structure, or process that can be measured in the body or its products that influences or predicts the incidence or outcome of disease” [1, 2]. This includes disease risk and diagnosis of acute and chronic conditions in cardiovascular and cerebrovascular circulation such as heart attack and stroke.
Stroke, also known as cerebrovascular accident (CVA), is now characterized as a “brain attack,” which is both the most descriptive and realistic image of stroke. As with a heart attack, the appropriate response to a brain attack is emergency action, both by the person it strikes and the medical community. Delays in diagnosis and medical intervention beyond 4–6 h of stroke onset may contribute to clinical deterioration and disability.
As the population ages, stroke has the potential to become an even larger medical and economic burden on the healthcare system. The public misperception that nothing can be done about stroke has prevailed for too long. Recent progress in biomarker research, neuromethods, and clinical practice has contributed to advances in stroke diagnoses and treatment optimization. Additionally, in spite of the important role that brain biomarkers could have in emergency diagnosis, there currently exists no “perfect” biomarker(s) for stroke. A single blood sample collected by first responders and processed rapidly for biomarker(s) testing might help to stratify patients into main stroke groups even prior to admission to hospital.
A “perfect” molecular biomarker could assist in risk assessment, predict and distinguish the stroke from mimicking conditions, and measure disease progression. Specifically, the “perfect” molecular biomarker testing combined with other markers (functional and structural) should meet certain requirements: (1) reflect an early pathology of brain damage; (2) reveal structural impairment(s) in certain brain areas; (3) allow early assessment in biological fluids (within minutes to hours); and (4) correlate with severity of disease progression.
Functional genomics, proteomics, and molecular imaging represent robust and evolving areas of molecular biomarker research that have the potential to revolutionize the screening, diagnosis, prognosis, and prediction of disease recurrence as well as therapeutic monitoring of stroke and transient ischemic attack (TIA).
Functional markers. The primary tool available for assessing TIA or stroke is patient history and physical examination of neurological symptoms. Physicians can track changes in cerebrovascular disease by localizing the disease to specific vessels using various stroke scales. The NIH Stroke Scale defines the most employed scale in the USA that rates severity of symptoms with stroke diagnosis. The rationale for emergent patient care is to improve diagnostic certainty, obtain objective results within minutes, evaluate risks for future events, monitor the patient for recurrence or worsening symptoms, and institute personal timely needed interventions while including operative critical care.
The second biomarker approach is defining structural alterations by neuroimaging. Current clinical neuroradiological methods allow the visualization of cerebral lesions and play an important role in decision making in both diagnosis and thrombolytic treatment. Two primary diagnostic modalities are used to distinguish ischemic from hemorrhagic stroke: computed tomography (CT) and, to a lesser extent, magnetic resonance imaging (MRI). More than 90% of hospitals have access to CT scanners, enabling them to evaluate a hemorrhagic stroke within 15 min. The overall accuracy of recognition of hemorrhagic vs. ischemic stroke is 67–85%. A large proportion of hospitals have MRI capability as well. However, MRI scans require a longer time window for image-reading and cannot distinguish ischemic from hemorrhagic stroke within the first 6 h of onset. Comparison of MRI and CT showed sensitivity of 83% vs. 26%, respectively, to detect acute ischemia as well as acute and chronic hemorrhage. There still remains an option to improve diagnostic certainty of early stroke onset by combining advanced neuroimaging with key biomarkers measured in biological fluids.
The third approach is substance or biological markers and is still being researched. Efforts are being directed to finding molecular markers in diseased biological tissues and fluids, particularly the blood.
1.1 Protein Biomarkers
Studies using protein biomarkers in patients with ischemic cerebrovascular disease have mainly focused on pathophysiology, diagnosis, prognosis, and neuronal death in stroke. The majority of protein biomarkers examined include S-100B, neuron specific enolase (NSE), glial fibrillary acidic protein (GFAP), brain natriuretic peptide (BNP), D-dimer, metalloproteinase 9 (MMP-9), monocyte chemotactic protein-1 (MCP-1), NMDA receptor markers (NR2 peptide and NR2 antibody), anti-cardiolipin (anti-phospholipid) antibodies, and lipoprotein-associated phospholipase A2 (Lp-PLA2), which are still in translational research mode.
1.2 Genetic and Epigenetic Biomarkers
A number of epidemiological studies suggested that stroke has genetic susceptibility, and various genetic factors have been investigated [3]. Genetic risk factors seem to be subtype-sensitive, and differential genetic risk factors have been reported to atherosclerotic, cardioembolic, and lacunar stroke [4]. Changes in the KCNQ1 methylation pattern have been shown to be useful as potential stroke biomarkers [5]. Further studies are needed to determine the role of DNA methylation in the diagnosis and prognosis of TIA and stroke.
1.3 Metabolomic Biomarkers
Metabolomics-associated biomarker profiles of fatty acid, amino acid, or polyamine in the blood or urine have been investigated to determine normal and pathologic states. Furthermore, in situ metabolomics-associated biomarkers evaluated during neurosurgery can be applied to monitoring recovery after the procedure [6]. At present, metabolomic studies using mass spectrometry are not widespread and limited to specialized neurosurgery centers.
The integrative use of structural, functional, and molecular biomarkers would be advantageous during time-critical assessment of patients presenting with stroke-like symptoms at a mobile stroke unit. Although the role of the laboratory blood testing in the diagnosis of neurologic disorders is still relatively modest compared to mobile neuroimaging, the need for rapid blood testing of suitable biomarkers remains in high demand. Promising molecular biomarkers and newest strategies for clinical instrumental methods are presented here, with the potential to drive the development of novel stroke management techniques, particularly in early diagnosis.
In this book, neuromethods assessing integrative biomarkers in terms of conventional, novel, and emerging analytes, techniques, platforms, and clinical applications to stroke emergent service are presented. It covers the theoretical background in conjunction with tested protocols reproducing experimental, clinical laboratory, and instrumental methods. The purpose of the issue is to supply readers—graduate students, clinical chemists, physicians, and medical residents—with the latest advances in stroke neuroscience, biotechnology, neuroimaging, and emergent care. This book presents advances in the medical application of neurofunctional, structural, and molecular biomarkers through innovative neuromethods development.