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Stępniewska E, Kałas M, Świderska J, Siemiński M. mTBI Biological Biomarkers as Predictors of Postconcussion Syndrome-Review. Brain Sci 2024; 14:513. [PMID: 38790491 PMCID: PMC11119822 DOI: 10.3390/brainsci14050513] [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: 04/10/2024] [Revised: 05/16/2024] [Accepted: 05/17/2024] [Indexed: 05/26/2024] Open
Abstract
Postconcussion syndrome (PCS) is one of the leading complications that may appear in patients after mild head trauma. Every day, thousands of people, regardless of age, gender, and race, are diagnosed in emergency departments due to head injuries. Traumatic Brain Injury (TBI) is a significant public health problem, impacting an estimated 1.5 million people in the United States and up to 69 million people worldwide each year, with 80% of these cases being mild. An analysis of the available research and a systematic review were conducted to search for a solution to predicting the occurrence of postconcussion syndrome. Particular biomarkers that can be examined upon admission to the emergency department after head injury were found as possible predictive factors of PCS development. Setting one unequivocal definition of PCS is still a challenge that causes inconsistent results. Neuron Specific Enolase (NSE), Glial Fibrillary Acidic Protein (GFAP), Ubiquitin C-terminal Hydrolase-L1 (UCH-L1), Serum Protein 100 B (s100B), and tau protein are found to be the best predictors of PCS development. The presence of all mentioned biomarkers is confirmed in severe TBI. All mentioned biomarkers are used as predictors of PCS. A combined examination of NSE, GFAP, UCH-1, S100B, and tau protein should be performed to detect mTBI and predict the development of PCS.
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Affiliation(s)
| | | | | | - Mariusz Siemiński
- Department of Emergency Medicine, Medical University of Gdansk, 80-435 Gdansk, Poland; (E.S.); (M.K.); (J.Ś.)
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Lepinay E, Cicchetti F. Tau: a biomarker of Huntington's disease. Mol Psychiatry 2023; 28:4070-4083. [PMID: 37749233 DOI: 10.1038/s41380-023-02230-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 07/31/2023] [Accepted: 08/11/2023] [Indexed: 09/27/2023]
Abstract
Developing effective treatments for patients with Huntington's disease (HD)-a neurodegenerative disorder characterized by severe cognitive, motor and psychiatric impairments-is proving extremely challenging. While the monogenic nature of this condition enables to identify individuals at risk, robust biomarkers would still be extremely valuable to help diagnose disease onset and progression, and especially to confirm treatment efficacy. If measurements of cerebrospinal fluid neurofilament levels, for example, have demonstrated use in recent clinical trials, other proteins may prove equal, if not greater, relevance as biomarkers. In fact, proteins such as tau could specifically be used to detect/predict cognitive affectations. We have herein reviewed the literature pertaining to the association between tau levels and cognitive states, zooming in on Alzheimer's disease, Parkinson's disease and traumatic brain injury in which imaging, cerebrospinal fluid, and blood samples have been interrogated or used to unveil a strong association between tau and cognition. Collectively, these areas of research have accrued compelling evidence to suggest tau-related measurements as both diagnostic and prognostic tools for clinical practice. The abundance of information retrieved in this niche of study has laid the groundwork for further understanding whether tau-related biomarkers may be applied to HD and guide future investigations to better understand and treat this disease.
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Affiliation(s)
- Eva Lepinay
- Centre de Recherche du CHU de Québec, Axe Neurosciences, Québec, QC, Canada
- Département de Psychiatrie & Neurosciences, Université Laval, Québec, QC, Canada
| | - Francesca Cicchetti
- Centre de Recherche du CHU de Québec, Axe Neurosciences, Québec, QC, Canada.
- Département de Psychiatrie & Neurosciences, Université Laval, Québec, QC, Canada.
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Li Y, Ding VY, Chen H, Zhu G, Jiang B, Boothroyd D, Rezaii PG, Bet AM, Paulino AD, Weber A, Glushakova OY, Hayes RL, Wintermark M. Comparing blood biomarkers to clinical decision rules to select patients suspected of traumatic brain injury for head computed tomography. Neuroradiol J 2023; 36:68-75. [PMID: 35588232 PMCID: PMC9893157 DOI: 10.1177/19714009221101306] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
INTRODUCTION Traumatic brain injury (TBI) is a major public health concern in the U.S. Recommendations for patients admitted in the emergency department (ED) to receive head computed tomography (CT) scan are currently guided by various clinical decision rules. OBJECTIVE To compare how a blood biomarker approach compares with clinical decision rules in terms of predicting a positive head CT in adult patients suspected of TBI. METHODS We retrospectively identified patients transported to our emergency department and underwent a noncontrast head CT due to suspicion of TBI and who had blood samples available. Published thresholds for serum and plasma glial fibrillary acidic protein (GFAP), ubiquitin carboxyl-terminal hydrolase-L1 (UCH-L1), and serum S100β were used to make CT recommendations. These blood biomarker-based recommendations were compared to those achieved under widely used clinical head CT decision rules (Canadian, New Orleans, NEXUS II, and ACEP Clinical Policy). RESULTS Our study included 463 patients, of which 122 (26.3%) had one or more abnormalities presenting on head CT. Individual blood biomarkers achieved high negative predictive value (NPV) for abnormal head CT findings (88%-98%), although positive predictive value (PPV) was consistently low (25%-42%). A composite biomarker-based decision rule (GFAP+UCH-L1)'s NPV of 100% and PPV of 29% were comparable or better than those achieved under the clinical decision rules. CONCLUSION Blood biomarkers perform at least as well as clinical rules in terms of selecting TBI patients for head CT and may be easier to implement in the clinical setting. A prospective study is necessary to validate this approach.
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Affiliation(s)
- Ying Li
- Department of Radiology,
Neuroradiology Division, Stanford University, Stanford, CA, USA
| | - Victoria Y Ding
- Quantitative Sciences Unit,
Department of Medicine, Stanford University, Stanford, CA, USA
| | - Hui Chen
- Department of Radiology,
Neuroradiology Division, Stanford University, Stanford, CA, USA
| | - Guangming Zhu
- Department of Radiology,
Neuroradiology Division, Stanford University, Stanford, CA, USA
| | - Bin Jiang
- Department of Radiology,
Neuroradiology Division, Stanford University, Stanford, CA, USA
| | - Derek Boothroyd
- Quantitative Sciences Unit,
Department of Medicine, Stanford University, Stanford, CA, USA
| | - Paymon G Rezaii
- Department of Radiology,
Neuroradiology Division, Stanford University, Stanford, CA, USA
| | - Anthony M Bet
- Department of Radiology,
Neuroradiology Division, Stanford University, Stanford, CA, USA
| | | | - Art Weber
- Banyan Biomarkers Inc., San Diego, CA, USA
| | - Olena Y Glushakova
- Department of Neurosurgery, Virginia Commonwealth
University, Richmond, VA, USA
| | - Ronald L Hayes
- Department of Neurosurgery, Virginia Commonwealth
University, Richmond, VA, USA
| | - Max Wintermark
- Department of Radiology,
Neuroradiology Division, Stanford University, Stanford, CA, USA
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Swaney EEK, Cai T, Seal ML, Ignjatovic V. Blood biomarkers of secondary outcomes following concussion: A systematic review. Front Neurol 2023; 14:989974. [PMID: 36925940 PMCID: PMC10011122 DOI: 10.3389/fneur.2023.989974] [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: 07/09/2022] [Accepted: 01/31/2023] [Indexed: 03/08/2023] Open
Abstract
Introduction Blood biomarkers have been identified as an alternative tool for predicting secondary outcomes following concussion. This systematic review aimed to summarize the literature on blood biomarkers of secondary outcomes following concussion in both pediatric and adult cohorts. Methods A literature search of Embase, Medline and PubMed was conducted. Two reviewers independently assessed retrieved studies to determine inclusion in systematic review synthesis. Results A total of 1771 unique studies were retrieved, 58 of which were included in the final synthesis. S100B, GFAP and tau were identified as being associated with secondary outcomes following concussion. Seventeen percent of studies were performed in a solely pediatric setting. Conclusions Validation of biomarkers associated with secondary outcomes following concussion have been largely limited by heterogeneous study cohorts and definitions of concussion and mTBI, presenting a hurdle for translation of these markers into clinical practice. Additionally, there was an underrepresentation of studies which investigated pediatric cohorts. Adult markers are not appropriate for children, therefore pediatric specific markers of secondary outcomes following concussion present the biggest gap in this field.
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Affiliation(s)
- Ella E K Swaney
- Department of Haematology, Murdoch Children's Research Institute, Melbourne, VIC, Australia.,Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Tengyi Cai
- Department of Haematology, Murdoch Children's Research Institute, Melbourne, VIC, Australia.,Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Marc L Seal
- Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia.,Developmental Imaging, Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - Vera Ignjatovic
- Department of Haematology, Murdoch Children's Research Institute, Melbourne, VIC, Australia.,Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia.,Institute for Clinical and Translational Research, Johns Hopkins All Children's Hospital, St. Petersburg, FL, United States.,Department of Pediatrics, Johns Hopkins University, Baltimore, MD, United States
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Pandey V, Shukla D, Nirmal S, Devi BI, Christopher R. Biomarkers in Traumatic Brain Injuries: Narrative Review. INDIAN JOURNAL OF NEUROTRAUMA 2022. [DOI: 10.1055/s-0042-1759853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
AbstractTraumatic brain injury (TBI) is a multistep interaction of brain antigens, cytokine-mediated humeral, and cellular immune reactions. Because of the limitations of clinical and radiological evaluation in TBI, there has been a considerable advancement toward the need for developing biomarkers that can predict the severity of TBI. Blood-based brain biomarkers hold the potential to predict the absence of intracranial injury and thus decrease unnecessary brain computed tomographic scanning. Various biomarkers have been studied that detects neuronal, axonal, and blood–brain barrier integrity. Biomarkers are still under investigation and hold promise in the future evaluation of TBI patients. They can be used for grading as well as a prognostication of head injury.
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Affiliation(s)
- Vishram Pandey
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences, NIMHANS, Bangalore, Karnataka, India
| | - Dhaval Shukla
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences, NIMHANS, Bangalore, Karnataka, India
| | - Shubham Nirmal
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences, NIMHANS, Bangalore, Karnataka, India
| | - Bhagavatula Indira Devi
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences, NIMHANS, Bangalore, Karnataka, India
| | - Rita Christopher
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences, NIMHANS, Bangalore, Karnataka, India
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Iverson GL, Minkkinen M, Karr JE, Berghem K, Zetterberg H, Blennow K, Posti JP, Luoto TM. Examining four blood biomarkers for the detection of acute intracranial abnormalities following mild traumatic brain injury in older adults. Front Neurol 2022; 13:960741. [PMID: 36484020 PMCID: PMC9723459 DOI: 10.3389/fneur.2022.960741] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 10/20/2022] [Indexed: 01/25/2023] Open
Abstract
Blood-based biomarkers have been increasingly studied for diagnostic and prognostic purposes in patients with mild traumatic brain injury (MTBI). Biomarker levels in blood have been shown to vary throughout age groups. Our aim was to study four blood biomarkers, glial fibrillary acidic protein (GFAP), ubiquitin C-terminal hydrolase-L1 (UCH-L1), neurofilament light (NF-L), and total tau (t-tau), in older adult patients with MTBI. The study sample was collected in the emergency department in Tampere University Hospital, Finland, between November 2015 and November 2016. All consecutive adult patients with head injury were eligible for inclusion. Serum samples were collected from the enrolled patients, which were frozen and later sent for biomarker analyses. Patients aged 60 years or older with MTBI, head computed tomography (CT) imaging, and available biomarker levels were eligible for this study. A total of 83 patients (mean age = 79.0, SD = 9.58, range = 60-100; 41.0% men) were included in the analysis. GFAP was the only biomarker to show statistically significant differentiation between patients with and without acute head CT abnormalities [U(83) = 280, p < 0.001, r = 0.44; area under the curve (AUC) = 0.79, 95% CI = 0.67-0.91]. The median UCH-L1 values were modestly greater in the abnormal head CT group vs. normal head CT group [U (83) = 492, p = 0.065, r = 0.20; AUC = 0.63, 95% CI = 0.49-0.77]. Older age was associated with biomarker levels in the normal head CT group, with the most prominent age associations being with NF-L (r = 0.56) and GFAP (r = 0.54). The results support the use of GFAP in detecting abnormal head CT findings in older adults with MTBIs. However, small sample sizes run the risk for producing non-replicable findings that may not generalize to the population and do not translate well to clinical use. Further studies should consider the potential effect of age on biomarker levels when establishing clinical cut-off values for detecting head CT abnormalities.
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Affiliation(s)
- Grant L. Iverson
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, United States,Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital and the Schoen Adams Research Institute at Spaulding Rehabilitation, Charlestown, MA, United States,Home Base, A Red Sox Foundation and Massachusetts General Hospital Program, Boston, MA, United States
| | - Mira Minkkinen
- Faculty of Medicine and Health Technology, Tampere University and Tampere University Hospital, Tampere, Finland
| | - Justin E. Karr
- Department of Psychology, University of Kentucky, Lexington, KY, United States
| | - Ksenia Berghem
- Medical Imaging Centre, Department of Radiology, Tampere University Hospital, Tampere, Finland
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden,UK Dementia Research Institute at University College London, London, United Kingdom,Department of Neurodegenerative Disease, University College London Queen Square Institute of Neurology, London, United Kingdom,Hong Kong Center for Neurodegenerative Diseases, Hong Kong, Hong Kong SAR, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Jussi P. Posti
- Neurocenter, Department of Neurosurgery, Turku University Hospital and University of Turku, Turku, Finland,Turku Brain Injury Center, Turku University Hospital and University of Turku, Turku, Finland
| | - Teemu M. Luoto
- Department of Neurosurgery, Tampere University Hospital and Tampere University, Tampere, Finland,*Correspondence: Teemu M. Luoto
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Hossain I, Blennow K, Posti JP, Zetterberg H. Tau as a fluid biomarker of concussion and neurodegeneration. CONCUSSION (LONDON, ENGLAND) 2022; 7:CNC98. [PMID: 36687115 PMCID: PMC9841393 DOI: 10.2217/cnc-2022-0004] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 11/16/2022] [Indexed: 12/12/2022]
Abstract
Concussion is predominant among the vast number of traumatic brain injuries that occur worldwide. Difficulties in timely identification, whether concussion led to neuronal injury or not, diagnosis and the lack of prognostic tools for adequate management could lead this type of brain injury to progressive neurodegenerative diseases. Tau has been extensively studied in recent years, particularly in repetitive mild traumatic brain injuries and sports-related concussions. Tauopathies, the group of neurodegenerative diseases, have also been studied with advanced functional imaging. Nevertheless, neurodegenerative diseases, such as chronic traumatic encephalopathy, are still conclusively diagnosed at autopsy. Here, we discuss the diagnostic dilemma and the relationship between concussion and neurodegenerative diseases and review the literature on tau as a promising biomarker for concussion.
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Affiliation(s)
- Iftakher Hossain
- Department of Neurosurgery, Neurocenter, Turku University Hospital, Finland,Turku Brain Injury Center, Turku University Hospital, Finland,Department of Clinical Neurosciences, University of Turku, Finland,Department of Clinical Neurosciences, Neurosurgery Unit, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK,Author for correspondence: Tel.: +358 2 313 0282;
| | - Kaj Blennow
- Institute of Neuroscience & Physiology, Department of Psychiatry & Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Jussi P Posti
- Department of Neurosurgery, Neurocenter, Turku University Hospital, Finland,Turku Brain Injury Center, Turku University Hospital, Finland,Department of Clinical Neurosciences, University of Turku, Finland
| | - Henrik Zetterberg
- Institute of Neuroscience & Physiology, Department of Psychiatry & Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK,UK Dementia Research Institute at UCL, University College London, London, UK,Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
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