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Sayad A, Uddin SM, Yao S, Wilson H, Chan J, Zhao H, Donnan G, Davis S, Skafidas E, Yan B, Kwan P. A magnetoimpedance biosensor microfluidic platform for detection of glial fibrillary acidic protein in blood for acute stroke classification. Biosens Bioelectron 2022; 211:114410. [PMID: 35617799 DOI: 10.1016/j.bios.2022.114410] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 05/15/2022] [Accepted: 05/17/2022] [Indexed: 11/17/2022]
Abstract
Acute stroke is the third leading cause of mortality and disability worldwide. Administration of appropriate therapy for acute stroke is critically dependent on timely classification into either ischemic or hemorrhagic subtypes, which have divergent treatment pathways. The current classification method is based on neuroimaging, which generally requires the transport of the patient to a hospital-based facility unless a mobile stroke unit is available. Plasma glial fibrillary acidic protein (GFAP) level has been identified as a useful blood-based biomarker to differentiate stroke subtypes. However, its conventional immunoassay methods are laboratory-based and time-consuming. Novel approaches for rapid stroke classification near the patients are urgently needed. Here, we report the development and testing of a microfluidic-based magnetoimpedance biosensor platform for measuring GFAP levels. The platform consists of a microfluidic chip for GFAP extraction from a blood sample and a magnetoimpedance (MI) biosensor that employs Dynabeads as a magnetic label to capture the GFAP molecules. We demonstrated the detection of recombinant GFAP protein in phosphate-buffered saline (PBS) and in mouse blood samples (detection limit 0.01 ng/mL) and of physiological GFAP in blood and plasma samples (detection limit 1.0 ng/mL) obtained from acute stroke patients. This detection level is within the range of cut-off levels required for clinical stroke subtype differentiation. This platform has the potential to be incorporated into a small device with further development to assist in the classification of acute stroke patients and clinical decision-making at the point-of-care.
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Affiliation(s)
- Abkar Sayad
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, 3004, Australia.
| | - Shah Mukim Uddin
- Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia.
| | - Scarlett Yao
- Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia.
| | - Harold Wilson
- Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia. https://
| | - Jianxiong Chan
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, 3004, Australia; Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia.
| | - Henry Zhao
- Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia; Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, VIC, 3010, Australia.
| | - Geoffrey Donnan
- Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia; Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, VIC, 3010, Australia.
| | - Stephen Davis
- Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia; Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, VIC, 3010, Australia. https://
| | - Efstratios Skafidas
- Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia; Department of Electrical and Electronic Engineering, Melbourne School of Engineering, The University of Melbourne, VIC, 3010, Australia.
| | - Bernard Yan
- Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia; Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, VIC, 3010, Australia.
| | - Patrick Kwan
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, 3004, Australia; Department of Medicine, The University of Melbourne, The Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia; Department of Electrical and Electronic Engineering, Melbourne School of Engineering, The University of Melbourne, VIC, 3010, Australia; Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, VIC, 3010, Australia.
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Demyanenko SV, Dzreyan VA, Uzdensky AB. Overexpression of HDAC6, but not HDAC3 and HDAC4 in the penumbra after photothrombotic stroke in the rat cerebral cortex and the neuroprotective effects of α-phenyl tropolone, HPOB, and sodium valproate. Brain Res Bull 2020; 162:151-165. [PMID: 32592806 DOI: 10.1016/j.brainresbull.2020.06.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 05/31/2020] [Accepted: 06/16/2020] [Indexed: 10/24/2022]
Abstract
Epigenetic processes play important roles in brain responses to ischemic injury. We studied effects of photothrombotic stroke (PTS, a model of ischemic stroke) on the intracellular level and cellular localization of histone deacetylases HDAC3, HDAC4 and HDAC6 in the rat brain cortex, and tested the potential neuroprotector ability of their inhibitors. The background level of HDAC3, HDAC4 and HDAC6 in the rat cerebral cortex was relatively low. HDAC3 localized in the nuclei of some neurons and few astrocytes. HDAC4 was found in the neuronal cytoplasm. After PTS, their levels in penumbra did not change, but HDAC4 appeared in the nuclei of some cells. Its level in the cytoplasmic, but not nuclear fraction of penumbra decreased at 24, but not 4 h after PTS. HDAC6 was upregulated in neurons and astrocytes in the PTS-induced penumbra, especially in the nuclear fraction. Unlike HDAC3 and HDAC4, HDAC6 co-localized with TUNEL-positive apoptotic cells. Inhibitory analysis confirmed the involvement of HDAC6, but not HDAC3 and HDAC4 in neurodegeneration. HDAC6 inhibitor HPOB, HDAC2/8 inhibitor α-phenyl tropolone, and non-specific histone deacetylase inhibitor sodium valproate, but not HDAC3 inhibitor BRD3308, or HDAC4 inhibitor LMK235, decreased PTS-induced infarction volume in the mouse brain, reduced apoptosis, and recovered the motor behavior. HPOB also restored PTS-impaired acetylation of α-tubulin. α-phenyl tropolone restored acetylation of histone H4 in penumbra cells. These results suggest that histone deacetylases HDAC6 and HDAC2 are the possible molecular targets for anti-ischemic therapy, and their inhibitors α-phenyl tropolone, HBOP and sodium valproate can be considered as promising neuroprotectors.
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Affiliation(s)
- S V Demyanenko
- Laboratory of Molecular Neuroscience, Academy of Biology and Biotechnology, Southern Federal University, 194/1 Stachky Ave., Rostov-on-Don, 344090, Russia
| | - V A Dzreyan
- Laboratory of Molecular Neuroscience, Academy of Biology and Biotechnology, Southern Federal University, 194/1 Stachky Ave., Rostov-on-Don, 344090, Russia
| | - A B Uzdensky
- Laboratory of Molecular Neuroscience, Academy of Biology and Biotechnology, Southern Federal University, 194/1 Stachky Ave., Rostov-on-Don, 344090, Russia.
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Harpaz D, Eltzov E, Seet RCS, Marks RS, Tok AIY. Point-of-Care-Testing in Acute Stroke Management: An Unmet Need Ripe for Technological Harvest. BIOSENSORS 2017; 7:E30. [PMID: 28771209 PMCID: PMC5618036 DOI: 10.3390/bios7030030] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Revised: 07/25/2017] [Accepted: 07/26/2017] [Indexed: 12/20/2022]
Abstract
Stroke, the second highest leading cause of death, is caused by an abrupt interruption of blood to the brain. Supply of blood needs to be promptly restored to salvage brain tissues from irreversible neuronal death. Existing assessment of stroke patients is based largely on detailed clinical evaluation that is complemented by neuroimaging methods. However, emerging data point to the potential use of blood-derived biomarkers in aiding clinical decision-making especially in the diagnosis of ischemic stroke, triaging patients for acute reperfusion therapies, and in informing stroke mechanisms and prognosis. The demand for newer techniques to deliver individualized information on-site for incorporation into a time-sensitive work-flow has become greater. In this review, we examine the roles of a portable and easy to use point-of-care-test (POCT) in shortening the time-to-treatment, classifying stroke subtypes and improving patient's outcome. We first examine the conventional stroke management workflow, then highlight situations where a bedside biomarker assessment might aid clinical decision-making. A novel stroke POCT approach is presented, which combines the use of quantitative and multiplex POCT platforms for the detection of specific stroke biomarkers, as well as data-mining tools to drive analytical processes. Further work is needed in the development of POCTs to fulfill an unmet need in acute stroke management.
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Affiliation(s)
- Dorin Harpaz
- Department of Biotechnology Engineering, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
- School of Material Science & Engineering, Nanyang Technology University, 50 Nanyang Avenue, Singapore 639798, Singapore.
- Institute for Sports Research (ISR), Nanyang Technology University and Loughborough University, Nanyang Avenue, Singapore 639798, Singapore.
| | - Evgeni Eltzov
- Agriculture Research Organization (ARO), Volcani Centre, Rishon LeTsiyon 15159, Israel.
| | - Raymond C S Seet
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, NUHS Tower Block, 1E Kent Ridge Road, Singapore 119228, Singapore.
| | - Robert S Marks
- Department of Biotechnology Engineering, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
- School of Material Science & Engineering, Nanyang Technology University, 50 Nanyang Avenue, Singapore 639798, Singapore.
- The National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
- The Ilse Katz Centre for Meso and Nanoscale Science and Technology, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
| | - Alfred I Y Tok
- School of Material Science & Engineering, Nanyang Technology University, 50 Nanyang Avenue, Singapore 639798, Singapore.
- Institute for Sports Research (ISR), Nanyang Technology University and Loughborough University, Nanyang Avenue, Singapore 639798, Singapore.
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