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Yang C, Wang H, Shao M, Chu F, He Y, Chen X, Fan J, Chen J, Cai Q, Wu C. Brain-Type Glycogen Phosphorylase (PYGB) in the Pathologies of Diseases: A Systematic Review. Cells 2024; 13:289. [PMID: 38334681 PMCID: PMC10854662 DOI: 10.3390/cells13030289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 12/27/2023] [Accepted: 01/05/2024] [Indexed: 02/10/2024] Open
Abstract
Glycogen metabolism is a form of crucial metabolic reprogramming in cells. PYGB, the brain-type glycogen phosphorylase (GP), serves as the rate-limiting enzyme of glycogen catabolism. Evidence is mounting for the association of PYGB with diverse human diseases. This review covers the advancements in PYGB research across a range of diseases, including cancer, cardiovascular diseases, metabolic diseases, nervous system diseases, and other diseases, providing a succinct overview of how PYGB functions as a critical factor in both physiological and pathological processes. We present the latest progress in PYGB in the diagnosis and treatment of various diseases and discuss the current limitations and future prospects of this novel and promising target.
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Affiliation(s)
- Caiting Yang
- Institutes of Biomedical Sciences, Shanxi University, Taiyuan 030006, China; (C.Y.); (H.W.); (F.C.); (Y.H.); (X.C.); (J.F.); (J.C.)
| | - Haojun Wang
- Institutes of Biomedical Sciences, Shanxi University, Taiyuan 030006, China; (C.Y.); (H.W.); (F.C.); (Y.H.); (X.C.); (J.F.); (J.C.)
| | - Miaomiao Shao
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China;
| | - Fengyu Chu
- Institutes of Biomedical Sciences, Shanxi University, Taiyuan 030006, China; (C.Y.); (H.W.); (F.C.); (Y.H.); (X.C.); (J.F.); (J.C.)
| | - Yuyu He
- Institutes of Biomedical Sciences, Shanxi University, Taiyuan 030006, China; (C.Y.); (H.W.); (F.C.); (Y.H.); (X.C.); (J.F.); (J.C.)
| | - Xiaoli Chen
- Institutes of Biomedical Sciences, Shanxi University, Taiyuan 030006, China; (C.Y.); (H.W.); (F.C.); (Y.H.); (X.C.); (J.F.); (J.C.)
| | - Jiahui Fan
- Institutes of Biomedical Sciences, Shanxi University, Taiyuan 030006, China; (C.Y.); (H.W.); (F.C.); (Y.H.); (X.C.); (J.F.); (J.C.)
| | - Jingwen Chen
- Institutes of Biomedical Sciences, Shanxi University, Taiyuan 030006, China; (C.Y.); (H.W.); (F.C.); (Y.H.); (X.C.); (J.F.); (J.C.)
| | - Qianqian Cai
- Shanghai Key Laboratory of Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China
| | - Changxin Wu
- Institutes of Biomedical Sciences, Shanxi University, Taiyuan 030006, China; (C.Y.); (H.W.); (F.C.); (Y.H.); (X.C.); (J.F.); (J.C.)
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Li Q, Zhao L, Chan CL, Zhang Y, Tong SW, Zhang X, Ho JWK, Jiao Y, Rainer TH. Multi-Level Biomarkers for Early Diagnosis of Ischaemic Stroke: A Systematic Review and Meta-Analysis. Int J Mol Sci 2023; 24:13821. [PMID: 37762122 PMCID: PMC10530879 DOI: 10.3390/ijms241813821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 08/25/2023] [Accepted: 09/04/2023] [Indexed: 09/29/2023] Open
Abstract
Blood biomarkers hold potential for the early diagnosis of ischaemic stroke (IS). We aimed to evaluate the current weight of evidence and identify potential biomarkers and biological pathways for further investigation. We searched PubMed, EMBASE, the Cochrane Library and Web of Science, used R package meta4diag for diagnostic meta-analysis and applied Gene Ontology (GO) analysis to identify vital biological processes (BPs). Among 8544 studies, we included 182 articles with a total of 30,446 participants: 15675 IS, 2317 haemorrhagic stroke (HS), 1798 stroke mimics, 846 transient ischaemic attack and 9810 control subjects. There were 518 pooled biomarkers including 203 proteins, 114 genes, 108 metabolites and 88 transcripts. Our study generated two shortlists of biomarkers for future research: one with optimal diagnostic performance and another with low selection bias. Glial fibrillary acidic protein was eligible for diagnostic meta-analysis, with summary sensitivities and specificities for differentiating HS from IS between 3 h and 24 h after stroke onset ranging from 73% to 80% and 77% to 97%, respectively. GO analysis revealed the top five BPs associated with IS. This study provides a holistic view of early diagnostic biomarkers in IS. Two shortlists of biomarkers and five BPs warrant future investigation.
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Affiliation(s)
- Qianyun Li
- Department of Emergency Medicine, University of Hong Kong, Hong Kong, China; (Q.L.)
| | - Lingyun Zhao
- Department of Emergency Medicine, University of Hong Kong, Hong Kong, China; (Q.L.)
| | - Ching Long Chan
- Department of Emergency Medicine, University of Hong Kong, Hong Kong, China; (Q.L.)
| | - Yilin Zhang
- Department of Emergency Medicine, University of Hong Kong, Hong Kong, China; (Q.L.)
| | - See Wai Tong
- Department of Emergency Medicine, University of Hong Kong, Hong Kong, China; (Q.L.)
| | - Xiaodan Zhang
- Department of Emergency Medicine, University of Hong Kong, Hong Kong, China; (Q.L.)
| | - Joshua Wing Kei Ho
- School of Biomedical Sciences, University of Hong Kong, Hong Kong, China
| | - Yaqing Jiao
- Department of Emergency Medicine, University of Hong Kong, Hong Kong, China; (Q.L.)
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di Biase L, Bonura A, Pecoraro PM, Carbone SP, Di Lazzaro V. Unlocking the Potential of Stroke Blood Biomarkers: Early Diagnosis, Ischemic vs. Haemorrhagic Differentiation and Haemorrhagic Transformation Risk: A Comprehensive Review. Int J Mol Sci 2023; 24:11545. [PMID: 37511304 PMCID: PMC10380631 DOI: 10.3390/ijms241411545] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 07/07/2023] [Accepted: 07/12/2023] [Indexed: 07/30/2023] Open
Abstract
Stroke, a complex and heterogeneous disease, is a leading cause of morbidity and mortality worldwide. The timely therapeutic intervention significantly impacts patient outcomes, but early stroke diagnosis is challenging due to the lack of specific diagnostic biomarkers. This review critically examines the literature for potential biomarkers that may aid in early diagnosis, differentiation between ischemic and hemorrhagic stroke, and prediction of hemorrhagic transformation in ischemic stroke. After a thorough analysis, four promising biomarkers were identified: Antithrombin III (ATIII), fibrinogen, and ischemia-modified albumin (IMA) for diagnostic purposes; glial fibrillary acidic protein (GFAP), micro RNA 124-3p, and a panel of 11 metabolites for distinguishing between ischemic and hemorrhagic stroke; and matrix metalloproteinase-9 (MMP-9), s100b, and interleukin 33 for predicting hemorrhagic transformation. We propose a biomarker panel integrating these markers, each reflecting different pathophysiological stages of stroke, that could significantly improve stroke patients' early detection and treatment. Despite promising results, further research and validation are needed to demonstrate the clinical utility of this proposed panel for routine stroke treatment.
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Affiliation(s)
- Lazzaro di Biase
- Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 00128 Roma, Italy
- Brain Innovations Lab, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo 21, 00128 Rome, Italy
| | - Adriano Bonura
- Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 00128 Roma, Italy
- Unit of Neurology, Neurophysiology, Neurobiology and Psychiatry, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Roma, Italy
| | - Pasquale Maria Pecoraro
- Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 00128 Roma, Italy
- Unit of Neurology, Neurophysiology, Neurobiology and Psychiatry, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Roma, Italy
| | - Simona Paola Carbone
- Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 00128 Roma, Italy
- Unit of Neurology, Neurophysiology, Neurobiology and Psychiatry, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Roma, Italy
| | - Vincenzo Di Lazzaro
- Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 00128 Roma, Italy
- Unit of Neurology, Neurophysiology, Neurobiology and Psychiatry, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 00128 Roma, Italy
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Thupakula S, Nimmala SSR, Ravula H, Chekuri S, Padiya R. Emerging biomarkers for the detection of cardiovascular diseases. Egypt Heart J 2022; 74:77. [PMID: 36264449 PMCID: PMC9584006 DOI: 10.1186/s43044-022-00317-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022] Open
Abstract
Background The prevalence of cardiovascular disease (CVD) has been continuously increasing, and this trend is projected to continue. CVD is rapidly becoming a significant public health issue. Every year there is a spike in hospital cases of CVD, a critical health concern in lower- and middle-income countries. Based on identification of novel biomarkers, it would be necessary to study and evaluate the diagnostic requirements or CVD to expedite early detection. Main body The literature review was written using a wide range of sources, such as well-known medical journals, electronic databases, manuscripts, texts, and other writings from the university library. After that, we analysed the specific markers of CVD and compiled a systematic review. A growing body of clinical research aims to identify people who are at risk for cardiovascular disease by looking for biomolecules. A small number of biomarkers have been shown to be useful and reliable in medicine. Biomarkers can be used for a variety of clinical applications, such as predicting heart disease risk, diagnosing disease, or predicting outcomes. As a result of the ability for a single molecule to act as a biomarker, its usefulness in medicine is expected to increase significantly. Conclusions Based on assessing the current trends in the application of CVD markers, we discussed and described the requirements for the application of CVD biomarkers in coronary heart disease, cerebrovascular disease, rheumatic heart disease, and other cardiovascular illnesses. Furthermore, the current review focuses on biomarkers for CVD and the procedures that should be considered to establish the comprehensive nature of the expression of biomarkers for cardiovascular illness.
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Affiliation(s)
- Sreenu Thupakula
- grid.412419.b0000 0001 1456 3750Department of Biochemistry, Osmania University, Amberpet, Hyderabad, Telangana 500007 India
| | - Shiva Shankar Reddy Nimmala
- grid.412419.b0000 0001 1456 3750Department of Biochemistry, Osmania University, Amberpet, Hyderabad, Telangana 500007 India
| | - Haritha Ravula
- grid.18048.350000 0000 9951 5557Department of Plant Sciences, University of Hyderabad, Gopanpalle, Hyderabad, Telangana 500019 India
| | - Sudhakar Chekuri
- grid.412419.b0000 0001 1456 3750Department of Genetics, Osmania University, Amberpet, Hyderabad, Telangana 500007 India
| | - Raju Padiya
- grid.412419.b0000 0001 1456 3750Department of Biochemistry, Osmania University, Amberpet, Hyderabad, Telangana 500007 India
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Blood Biomarkers for Triaging Patients for Suspected Stroke: Every Minute Counts. J Clin Med 2022; 11:jcm11144243. [PMID: 35888011 PMCID: PMC9323101 DOI: 10.3390/jcm11144243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 07/19/2022] [Accepted: 07/20/2022] [Indexed: 02/04/2023] Open
Abstract
Early stroke diagnosis remains a big challenge in healthcare partly due to the lack of reliable diagnostic blood biomarkers, which in turn leads to increased rates of mortality and disability. Current screening methods are optimised to identify patients with a high risk of cardio-vascular disease, especially among the elderly. However, in young adults and children, these methods suffer low sensitivity and specificity and contribute to further delays in their triage and diagnosis. Accordingly, there is an urgent need to develop reliable blood biomarkers for triaging patients suspected of stroke in all age groups, especially children and young adults. This review explores some of the existing blood biomarkers, as single biomarkers or biomarker panels, and examines their sensitivity and specificity for predicting stroke. A review was performed on PubMed and Web of Science for journal articles published in English during the period 2001 to 2021, which contained information regarding biomarkers of stroke. In this review article, we provide comparative information on the availability, clinical usefulness, and time-window periods of seven single blood biomarkers and five biomarker panels that have been used for predicting stroke in emergency situations. The outcomes of this review can be used in future research for developing more effective stroke biomarkers.
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Dias A, Silva L, Moura J, Gabriel D, Maia LF. Fluid biomarkers in stroke: From animal models to clinical care. Acta Neurol Scand 2022; 146:332-347. [PMID: 35838031 DOI: 10.1111/ane.13668] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 06/17/2022] [Accepted: 06/24/2022] [Indexed: 12/12/2022]
Abstract
Stroke is a leading cause of death and disability worldwide. Stroke prevention, early diagnosis, and efficient acute treatment are priorities to successfully impact stroke death and disability. Fluid biomarkers may improve stroke differential diagnostic, patient stratification for acute treatment, and post-stroke individualized rehabilitation. In the present work, we characterized the use of stroke animal models in fluid biomarker research through a systematic review of PubMed and Scopus databases, followed by a literature review on the translation to the human stroke care setting and future perspectives in the field. We found increasing numbers of publications but with limited translation to the clinic. Animal studies are very heterogeneous, do not account for several human features present in stroke, and, importantly, only a minority of such studies used human cohorts to validate biomarker findings. Clinical studies have found appealing candidates, both protein and circulating nucleic acids, to contribute to a more personalized stroke care pathway. Still, brain tissue complexity and the fact that different brain pathologies share lesion biomarkers make this task challenging due to biomarker low specificity. Moreover, the study design and lack of validation cohorts may have precluded a formal integration of biomarkers in different steps of stroke diagnosis and treatment. To overcome such issues, recent pivotal studies on biomarker dynamics in individual patients are providing added value to diagnosis and anticipating patients' early prognosis. Presently, the most consistent protein biomarkers for stroke diagnosis and short- and long-term prognosis are associated with tissue damage at neuronal (TAU), axonal (NFL), or astroglial (GFAP and S100β) levels. Most promising nucleic acids are microRNAs (miR), due to their stability in plasma and ease of access. Still, clinical validation and standardized quantitation place them a step behind compared protein as stroke biomarkers. Ultimately, the definition of clinically relevant biomarker panels and optimization of fast and sensitive biomarker measurements in the blood, together with their combination with clinical and neuroimaging data, will pave the way toward personalized stroke care.
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Affiliation(s)
- Alexandre Dias
- Department of Neurology, Centro Hospitalar Universitário do Porto, Porto, Portugal.,i3S - Instituto de Investigação e Inovação em Saúde, University of Porto, Porto, Portugal.,IPATIMUP - Institute of Molecular Pathology and Immunology, University of Porto, Portugal
| | - Lénia Silva
- Department of Neurology, Centro Hospitalar Universitário do Porto, Porto, Portugal
| | - João Moura
- Department of Neurology, Centro Hospitalar Universitário do Porto, Porto, Portugal
| | - Denis Gabriel
- Department of Neurology, Centro Hospitalar Universitário do Porto, Porto, Portugal
| | - Luis F Maia
- Department of Neurology, Centro Hospitalar Universitário do Porto, Porto, Portugal.,i3S - Instituto de Investigação e Inovação em Saúde, University of Porto, Porto, Portugal.,Instituto de Ciências Biomédicas Abel Salazar, University of Porto, Porto, Portugal.,IBMC - Instituto de Biologia Molecular e Celular, University of Porto, Porto, Portugal
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Sun C, Li L, Liu J, Du Y, Peng Y, Xie Q. Photoelectrochemical sandwich immunoassay of brain glycogen phosphorylase based on methyl orange-sensitized TiO 2 nanorods. Mikrochim Acta 2022; 189:265. [PMID: 35776227 DOI: 10.1007/s00604-022-05367-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 06/04/2022] [Indexed: 11/24/2022]
Abstract
The photoelectrochemical immunoassay of glycogen phosphorylase BB (GPBB) was studied. A methyl orange/TiO2 nanorod heterojunction was constructed on a fluorine-doped tin oxide electrode by hydrothermal synthesis, calcination, and chemical adsorption. A sandwich immune structure consisting of GPBB as the first antibody, GPBB, and a CdS@mesoporous silica-ascorbic acid (AA)-GPBB as secondary antibody composite was constructed on each of the selected well surfaces of a 96-well microplate. By adding mercaptoethylamine to structurally destroy the secondary antibody composite and release the electron donor AA, the amplification of photocurrent, and thus the "off-on" photoelectrochemical biosensing of GPBB were realized. The use of the 96-well microplate provides good reproducibility of the assembled immune structures and eliminates the possible effect of the photogenerated hole-induced protein oxidation on the photocurrent. The relevant electrodes and materials were characterized by electrochemistry, UV-vis diffuse reflectance spectra, Fourier transform infrared spectroscopy, X-ray diffractometer, scanning electron microscopy/energy dispersive spectroscopy, transmission electron microscopy and BET method. Under the optimal conditions, the photocurrent was linear with the logarithm of GPBB concentration from 0.005 to 200 ng mL-1 and with a limit of detection of 1.7 pg mL-1 (S/N = 3). Satisfactory results were obtained in the analysis of real serum samples. A sandwich immune structure consisting of GPBB first antibody, GPBB, and a CdS@mesoporous silica-ascorbic acid (AA)-GPBB secondary antibody composite was constructed on each of the selected well surfaces of a 96-well microplate. By adding mercaptoethylamine to structurally destroy the secondary antibody composite and release the electron donor AA, the amplification of photocurrent, and thus the "off-on" photoelectrochemical biosensing of GPBB were realized.
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Affiliation(s)
- Chenglong Sun
- Key Laboratory of Chemical Biology & Traditional Chinese Medicine Research (Ministry of Education of China), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha, 410081, China
| | - Lu Li
- Key Laboratory of Chemical Biology & Traditional Chinese Medicine Research (Ministry of Education of China), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha, 410081, China
| | - Jialin Liu
- Key Laboratory of Chemical Biology & Traditional Chinese Medicine Research (Ministry of Education of China), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha, 410081, China
| | - Yun Du
- Key Laboratory of Chemical Biology & Traditional Chinese Medicine Research (Ministry of Education of China), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha, 410081, China
| | - Yueyi Peng
- Key Laboratory of Chemical Biology & Traditional Chinese Medicine Research (Ministry of Education of China), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha, 410081, China
| | - Qingji Xie
- Key Laboratory of Chemical Biology & Traditional Chinese Medicine Research (Ministry of Education of China), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha, 410081, China.
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Fang P, Wu Y, Zhang Z, Cui C, Dong X, Hu K, Jia J, Duan X, Zhang Y, Huo H. The clinical value of long noncoding RNA GAS5 in acute ischemic stroke: Correlation with disease risk, inflammation, severity, and risk of recurrence. J Clin Lab Anal 2021; 36:e24171. [PMID: 34921461 PMCID: PMC8761411 DOI: 10.1002/jcla.24171] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 10/13/2021] [Accepted: 10/20/2021] [Indexed: 12/21/2022] Open
Abstract
Background Long noncoding RNA growth arrest‐specific 5 (lnc‐GAS5) is involved in the pathophysiology of acute ischemic stroke (AIS) by regulating vascular stenosis, inflammation, and neurocyte apoptosis. This study aimed to explore the clinical value of lnc‐GAS5 in patients with AIS. Methods Plasma samples were collected from 120 patients with AIS at admission and 60 controls after enrollment, and lnc‐GAS5 expression in the plasma of all participants was assessed by reverse transcription quantitative polymerase chain reaction. In patients with AIS, disease severity was evaluated using National Institute of Health Stroke Scale (NIHSS) score, and plasma inflammatory cytokine levels were measured by enzyme‐linked immunosorbent assay. Recurrence‐free survival (RFS) was calculated during a 36‐month follow‐up period. Results Lnc‐GAS5 expression levels were higher in patients with AIS than in the controls (p < 0.001), and it had the potential to discriminate the controls from patients with AIS (area under the curve: 0.893, 95% confidence interval: 0.849–0.938). In patients with AIS, elevated lnc‐GAS5 levels were positively correlated with NIHSS score (r = 0.397, p < 0.001), diabetes mellitus (p = 0.046), and higher levels of tumor necrosis factor alpha (TNF‐α; r = 0.374, p < 0.001), interleukin‐6 (IL‐6; r = 0.223, p < 0.001), and interleukin‐17A (IL‐17A; r = 0.222, p = 0.015). The expression levels of lnc‐GAS5 were also negatively correlated with the levels of interleukin‐10 (IL‐10; r = −0.350, p < 0.001) and RFS (p = 0.036). Conclusion Lnc‐GAS5 is correlated with higher susceptibility to AIS, inflammation, and severity, and can predict an increased risk of AIS recurrence, indicating that monitoring of lnc‐GAS5 might improve the management of AIS.
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Affiliation(s)
- Pingping Fang
- Department of Neurology, Handan Central Hospital, Handan, China
| | - Yiping Wu
- Department of Neurology, Handan Central Hospital, Handan, China
| | - Zhongbo Zhang
- Department of Neurology, Handan Central Hospital, Handan, China
| | - Cui Cui
- Department of Ophthalmology, Handan Central Hospital, Handan, China
| | - Xiaoxue Dong
- Department of Neurology, Handan Central Hospital, Handan, China
| | - Ke Hu
- Department of Neurology, Handan Central Hospital, Handan, China
| | - Jundong Jia
- Department of Neurology, Handan Central Hospital, Handan, China
| | - Xinfei Duan
- Department of Neurology, Handan Central Hospital, Handan, China
| | - Ying Zhang
- Department of Neurology, Handan Central Hospital, Handan, China
| | - Haoran Huo
- Department of General Surgery, Handan Central Hospital, Handan, China
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Karakus A, Girerd N, Sanchez JC, Sabben C, Wietrich A, Lavandier K, Marchal S, Aubertin A, Humbertjean L, Mione G, Bouali S, Duarte K, Reymond S, Gory B, Richard S. Identifying patients with cerebral infarction within the time window compatible with reperfusion therapy, diagnostic performance of glutathione S-transferase-π (GST-π) and peroxiredoxin 1 (PRDX1): exploratory prospective multicentre study FLAG-1 protocol. BMJ Open 2021; 11:e046167. [PMID: 34417212 PMCID: PMC8381327 DOI: 10.1136/bmjopen-2020-046167] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
INTRODUCTION Plasma biomarkers may be useful in diagnosing acute cerebral infarction requiring urgent reperfusion, but their performance remains to be confirmed. If confirmed, these molecules could be used to develop rapid and reliable decentralised measurement methods, making it possible to initiate reperfusion therapy before hospital admission. The FLAG-1 large prospective study will constitute a plasma bank to assess the diagnostic performance of two biomarkers: glutathione S-transferase-π and peroxiredoxin 1. These molecules are involved in the oxidative stress response and could identify cerebral infarction within a therapeutic window of less than 4.5 hours following the onset of symptoms. Secondary objectives include assessing performance of these biomarkers within 3-hour and 6-hour windows; identifying additional biomarkers diagnosing cerebral infarction and significant criteria guiding therapeutic decisions: ischaemic features of stroke, presence of diffusion/fluid-attenuated inversion recovery mismatch, volume of cerebral infarction and penumbra on cerebral MRI. METHODS AND ANALYSIS The exploratory, prospective, multicentre FLAG-1 Study will include 945 patients with acute stroke symptoms (onset ≤12 hours, National Institute of Health Stroke Scale score ≥3). Each patient's 25 mL blood sample will be associated with cerebral MRI data. Two patient groups will be defined based on the time of blood collection (before and after 4.5 hours following onset). Receiver operating characteristic analysis will determine the diagnostic performance of each biomarker, alone or in combination, for the identification of cerebral infarction <4.5 hours. ETHICS AND DISSEMINATION The protocol has been approved by an independent ethics committee. Biological samples are retained in line with best practices and procedures, in accordance with French legislation. Anonymised data and cerebral imaging records are stored using electronic case report forms and a secure server, respectively, registered with the French Data Protection Authority (Commission Nationale de l'Informatique et des Libertés (CNIL)). Results will be disseminated through scientific meetings and publication in peer-reviewed medical journals. TRIAL REGISTRATION NUMBER ClinicalTrials.gov Registry (NCT03364296).
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Affiliation(s)
- Arif Karakus
- Department of Neurology, Stroke Unit, University Hospital Centre Nancy, 54035 Nancy, France
- University of Lorraine, Nancy, France
| | - Nicolas Girerd
- University of Lorraine, Nancy, France
- Plurithematic Clinical Investigation Center, CIC-P 1433, INSERM U1116, University Hospital Centre Nancy, 54500 Vandoeuvre-lès-Nancy, France
| | - Jean-Charles Sanchez
- Department of Human Protein Sciences, University of Geneva Medical Centre, 1206 Geneva, Switzerland
| | | | - Anthony Wietrich
- Stroke Unit, Bar-le-Duc Hospital Centre, 55000 Bar-le-Duc, France
| | - Karine Lavandier
- Stroke Unit, Bar-le-Duc Hospital Centre, 55000 Bar-le-Duc, France
| | - Sophie Marchal
- Stroke Unit, Verdun Hospital Centre, 55100 Verdun, France
| | - Anne Aubertin
- Stroke Unit, Hospital Centre Troyes, CS 20718, 10003 Troyes, France
| | - Lisa Humbertjean
- Department of Neurology, Stroke Unit, University Hospital Centre Nancy, 54035 Nancy, France
| | - Gioia Mione
- Department of Neurology, Stroke Unit, University Hospital Centre Nancy, 54035 Nancy, France
| | - Sanae Bouali
- Plurithematic Clinical Investigation Center, CIC-P 1433, INSERM U1116, University Hospital Centre Nancy, 54500 Vandoeuvre-lès-Nancy, France
| | - Kevin Duarte
- Plurithematic Clinical Investigation Center, CIC-P 1433, INSERM U1116, University Hospital Centre Nancy, 54500 Vandoeuvre-lès-Nancy, France
| | - Sandrine Reymond
- Department of Human Protein Sciences, University of Geneva Medical Centre, 1206 Geneva, Switzerland
| | - Benjamin Gory
- University of Lorraine, Nancy, France
- Department of Diagnostic and Therapeutic Neuroradiology, INSERM U1254, IADI, University Hospital Centre Nancy, 54035 Nancy, France
| | - Sébastien Richard
- Department of Neurology, Stroke Unit, University Hospital Centre Nancy, 54035 Nancy, France
- University of Lorraine, Nancy, France
- Plurithematic Clinical Investigation Center, CIC-P 1433, INSERM U1116, University Hospital Centre Nancy, 54500 Vandoeuvre-lès-Nancy, France
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Dias A, Silva I, Pinto IM, Maia LF. Timely and Blood-Based Multiplex Molecular Profiling of Acute Stroke. Life (Basel) 2021; 11:816. [PMID: 34440560 PMCID: PMC8398526 DOI: 10.3390/life11080816] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 08/06/2021] [Accepted: 08/07/2021] [Indexed: 12/12/2022] Open
Abstract
Stroke is a leading cause of death and disability in the world. To address such a problem, early diagnosis and tailored acute treatment represent one of the major priorities in acute stroke care. Since the efficacy of reperfusion treatments is highly time-dependent, there is a critical need to optimize procedures for faster and more precise diagnosis. We provide a concise review of the most relevant and well-documented blood-protein biomarkers that exhibit greater potential for translational to clinical practice in stroke differential diagnosis and to differentiate ischemic stroke from hemorrhagic stroke, followed by an overview of the most recent point-of-care technological approaches to address this problem. The integration of fluid-based biomarker profiling, using point-of-care biosensors with demographic, clinical, and neuroimaging parameters in multi-dimensional clinical decision-making algorithms, will be the next step in personalized stroke care.
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Affiliation(s)
- Alexandre Dias
- Department of Neurology, Centro Hospitalar Universitário do Porto (CHUPorto), 4099-001 Porto, Portugal; (A.D.); (I.S.)
- Portugal and Ipatimup—Institute of Molecular Pathology and Immunology, University of Porto, 4200-135 Porto, Portugal
| | - Isabel Silva
- Department of Neurology, Centro Hospitalar Universitário do Porto (CHUPorto), 4099-001 Porto, Portugal; (A.D.); (I.S.)
- Portugal and Molecular Neurobiology, IBMC—Instituto de Biologia Molecular e Celular, University of Porto, 4200-135 Porto, Portugal
| | - Inês Mendes Pinto
- International Iberian Nanotechnology Laboratory, 4715-330 Braga, Portugal
| | - Luís F. Maia
- Department of Neurology, Centro Hospitalar Universitário do Porto (CHUPorto), 4099-001 Porto, Portugal; (A.D.); (I.S.)
- Portugal and Molecular Neurobiology, IBMC—Instituto de Biologia Molecular e Celular, University of Porto, 4200-135 Porto, Portugal
- Instituto de Ciências Biomédicas Abel Salazar, University of Porto (ICBAS-UP), 4050-313 Porto, Portugal
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11
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Baez SDLC, García del Barco D, Hardy-Sosa A, Guillen Nieto G, Bringas-Vega ML, Llibre-Guerra JJ, Valdes-Sosa P. Scalable Bio Marker Combinations for Early Stroke Diagnosis: A Systematic Review. Front Neurol 2021; 12:638693. [PMID: 34122297 PMCID: PMC8193128 DOI: 10.3389/fneur.2021.638693] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 03/29/2021] [Indexed: 12/11/2022] Open
Abstract
Background: Acute stroke treatment is a time-critical process in which every minute counts. Laboratory biomarkers are needed to aid clinical decisions in the diagnosis. Although imaging is critical for this process, these biomarkers may provide additional information to distinguish actual stroke from its mimics and monitor patient condition and the effect of potential neuroprotective strategies. For such biomarkers to be effectively scalable to public health in any economic setting, these must be cost-effective and non-invasive. We hypothesized that blood-based combinations (panels) of proteins might be the key to this approach and explored this possibility through a systematic review. Methods: We followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines for systematic review. Initially, the broader search for biomarkers for early stroke diagnosis yielded 704 hits, and five were added manually. We then narrowed the search to combinations (panels) of the protein markers obtained from the blood. Results: Twelve articles dealing with blood-based panels of protein biomarkers for stroke were included in the systematic review. We observed that NR2 peptide (antibody against the NR2 fragment) and glial fibrillary acidic protein (GFAP) are brain-specific markers related to stroke. Von Willebrand factor (vWF), matrix metalloproteinase 9 (MMP-9), and S100β have been widely used as biomarkers, whereas others such as the ischemia-modified albumin (IMA) index, antithrombin III (AT-III), and fibrinogen have not been evaluated in combination. We herein propose the following new combination of biomarkers for future validation: panel 1 (NR2 + GFAP + MMP-9 + vWF + S100β), panel 2 (NR2 + GFAP + MMP-9 + vWF + IMA index), and panel 3 (NR2 + GFAP + AT-III + fibrinogen). Conclusions: More research is needed to validate, identify, and introduce these panels of biomarkers into medical practice for stroke recurrence and diagnosis in a scalable manner. The evidence indicates that the most promising approach is to combine different blood-based proteins to provide diagnostic precision for health interventions. Through our systematic review, we suggest three novel biomarker panels based on the results in the literature and an interpretation based on stroke pathophysiology.
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Affiliation(s)
- Saiyet de la C. Baez
- The Clinical Hospital of Chengdu Brain Sciences Institute, University Electronic Sciences and Technology of China UESTC, Chengdu, China
- Center for Genetic Engineering and Biotechnology, Havana, Cuba
| | | | - Anette Hardy-Sosa
- The Clinical Hospital of Chengdu Brain Sciences Institute, University Electronic Sciences and Technology of China UESTC, Chengdu, China
- Center for Genetic Engineering and Biotechnology, Havana, Cuba
| | - Gerardo Guillen Nieto
- The Clinical Hospital of Chengdu Brain Sciences Institute, University Electronic Sciences and Technology of China UESTC, Chengdu, China
- Center for Genetic Engineering and Biotechnology, Havana, Cuba
| | - Maria Luisa Bringas-Vega
- The Clinical Hospital of Chengdu Brain Sciences Institute, University Electronic Sciences and Technology of China UESTC, Chengdu, China
- Cuban Neurosciences Center, Havana, Cuba
| | - Jorge J. Llibre-Guerra
- Department of Neurology, National Institute of Neurology and Neurosurgery of Cuba, Havana, Cuba
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
| | - Pedro Valdes-Sosa
- The Clinical Hospital of Chengdu Brain Sciences Institute, University Electronic Sciences and Technology of China UESTC, Chengdu, China
- Cuban Neurosciences Center, Havana, Cuba
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12
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Dagonnier M, Donnan GA, Davis SM, Dewey HM, Howells DW. Acute Stroke Biomarkers: Are We There Yet? Front Neurol 2021; 12:619721. [PMID: 33633673 PMCID: PMC7902038 DOI: 10.3389/fneur.2021.619721] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 01/14/2021] [Indexed: 12/25/2022] Open
Abstract
Background: Distinguishing between stroke subtypes and knowing the time of stroke onset are critical in clinical practice. Thrombolysis and thrombectomy are very effective treatments in selected patients with acute ischemic stroke. Neuroimaging helps decide who should be treated and how they should be treated but is expensive, not always available and can have contraindications. These limitations contribute to the under use of these reperfusion therapies. Aim: An alternative approach in acute stroke diagnosis is to identify blood biomarkers which reflect the body's response to the damage caused by the different types of stroke. Specific blood biomarkers capable of differentiating ischemic from hemorrhagic stroke and mimics, identifying large vessel occlusion and capable of predicting stroke onset time would expedite diagnosis and increase eligibility for reperfusion therapies. Summary of Review: To date, measurements of candidate biomarkers have usually occurred beyond the time window for thrombolysis. Nevertheless, some candidate markers of brain tissue damage, particularly the highly abundant glial structural proteins like GFAP and S100β and the matrix protein MMP-9 offer promising results. Grouping of biomarkers in panels can offer additional specificity and sensitivity for ischemic stroke diagnosis. Unbiased “omics” approaches have great potential for biomarker identification because of greater gene, protein, and metabolite coverage but seem unlikely to be the detection methodology of choice because of their inherent cost. Conclusion: To date, despite the evolution of the techniques used in their evaluation, no individual candidate or multimarker panel has proven to have adequate performance for use in an acute clinical setting where decisions about an individual patient are being made. Timing of biomarker measurement, particularly early when decision making is most important, requires urgent and systematic study.
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Affiliation(s)
- Marie Dagonnier
- Stroke Division, Melbourne Brain Centre, The Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia.,Department of Neurology, Ambroise Paré Hospital, Mons, Belgium
| | - Geoffrey A Donnan
- Stroke Division, Melbourne Brain Centre, The Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia.,Melbourne Brain Centre at the Royal Melbourne Hospital and University of Melbourne, Melbourne, VIC, Australia
| | - Stephen M Davis
- Melbourne Brain Centre at the Royal Melbourne Hospital and University of Melbourne, Melbourne, VIC, Australia
| | - Helen M Dewey
- Stroke Division, Melbourne Brain Centre, The Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia.,Eastern Health Clinical School, Monash University, Melbourne, VIC, Australia
| | - David W Howells
- Stroke Division, Melbourne Brain Centre, The Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia.,Faculty of Health, School of Medicine, University of Tasmania, Hobart, TAS, Australia
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13
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Kamtchum-Tatuene J, Jickling GC. Blood Biomarkers for Stroke Diagnosis and Management. Neuromolecular Med 2019; 21:344-368. [PMID: 30830566 PMCID: PMC6722038 DOI: 10.1007/s12017-019-08530-0] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 02/19/2019] [Indexed: 12/20/2022]
Abstract
Biomarkers are objective indicators used to assess normal or pathological processes, evaluate responses to treatment and predict outcomes. Many blood biomarkers already guide decision-making in clinical practice. In stroke, the number of candidate biomarkers is constantly increasing. These biomarkers include proteins, ribonucleic acids, lipids or metabolites. Although biomarkers have the potential to improve the diagnosis and the management of patients with stroke, there is currently no marker that has demonstrated sufficient sensitivity, specificity, rapidity, precision, and cost-effectiveness to be used in the routine management of stroke, thus highlighting the need for additional work. A better standardization of clinical, laboratory and statistical procedures between centers is indispensable to optimize biomarker performance. This review focuses on blood biomarkers that have shown promise for translation into clinical practice and describes some newly reported markers that could add to routine stroke care. Avenues for the discovery of new stroke biomarkers and future research are discussed. The description of the biomarkers is organized according to their expected application in clinical practice: diagnosis, treatment decision, and outcome prediction.
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Affiliation(s)
- Joseph Kamtchum-Tatuene
- Neuroscience and Mental Health Institute, Faculty of Medicine and Dentistry, University of Alberta, 4-120 Katz Building, 114 Street & 87 Avenue, Edmonton, AB, T6G 2E1, Canada.
| | - Glen C Jickling
- Neuroscience and Mental Health Institute, Faculty of Medicine and Dentistry, University of Alberta, 4-120 Katz Building, 114 Street & 87 Avenue, Edmonton, AB, T6G 2E1, Canada
- Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada
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