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Xu C, Yi T, Qing T, Jiang Y, Yi X, Xu J, Ma J. Serum neurofilament light chain: a predictive marker for outcomes following mild-to-moderate ischemic stroke. Front Neurol 2024; 15:1398826. [PMID: 38841696 PMCID: PMC11150679 DOI: 10.3389/fneur.2024.1398826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Accepted: 05/02/2024] [Indexed: 06/07/2024] Open
Abstract
Background Biomarkers that reflect brain damage or predict functional outcomes may aid in guiding personalized stroke treatments. Serum neurofilament light chain (sNfL) emerges as a promising candidate for fulfilling this role. Methods This prospective, observational cohort investigation included 319 acute ischemic stroke (IS) patients. The endpoints were the incidence of early neurological deterioration (END, an elevation of two or more points in the National Institute of Health stroke scale score within a week of hospitalization compared with the baseline) and functional outcome at 3 months (an mRS score of >2 at 3 months was categorized as an unfavorable/poor functional outcome). The association of sNfL, which was assessed within 24 h of admission, with END and unfavorable functional outcomes at follow-up was assessed via multivariate logistic regression, whereas the predictive value of sNfL for unfavorable functional outcomes and END was elucidated by the receiver operating characteristic curve (ROC). Results Of 319 IS individuals, 89 (27.90%) suffered from END. sNfL not only reflects the severity of stroke measured by NIHSS score (p < 0.05) but also closely related to the severity of age-related white matter changes. Higher initial NIHSS score, severe white matter lesions, diabetes mellitus, and upregulated sNfL were significant predictors of END. Similarly, the multivariate logistic regression analysis results showed that elevated sNfL, a higher baseline NIHSS score, and severe white matter lesions were substantially linked with unfavorable outcomes for 3 months. Similarly, sNfL was valuable for the prediction of the 3 months of poor outcome (95%CI, 0.504-0.642, p = 0.044). Kaplan-Meier analysis shows that patients with elevated sNfL levels are more likely to reach combined cerebrovascular endpoints (log-rank test p < 0.05). Conclusion This investigation suggests that sNfL can serve as a valuable biomarker for predicting END and 3-month poor functional outcomes after an IS and has the potential to forecast long-term cardiovascular outcomes.
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Affiliation(s)
- Chongxi Xu
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Tong Yi
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ting Qing
- Department of Neurology, The Second People’s Hospital of Deyang City, Deyang, Sichuan, China
| | - Yongliang Jiang
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xingyang Yi
- Department of Neurology, People’s Hospital of Deyang City, Deyang, Sichuan, China
| | - Jianguo Xu
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Junpeng Ma
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Beydoun MA, Noren Hooten N, Georgescu MF, Beydoun HA, Eid SM, Fanelli-Kuczmarski MT, Evans MK, Zonderman AB. Serum neurofilament light chain as a prognostic marker of all-cause mortality in a national sample of US adults. Eur J Epidemiol 2024:10.1007/s10654-024-01131-7. [PMID: 38771439 DOI: 10.1007/s10654-024-01131-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 05/01/2024] [Indexed: 05/22/2024]
Abstract
Neurofilament light chain (NfL) is a neuron-specific structural protein released into the extracellular space, including body fluids, upon neuroaxonal damage. Despite evidence of a link in neurological disorders, few studies have examined the association of serum NfL with mortality in population-based studies. Data from the National Health and Nutrition Survey were utilized including 2,071 Non-Hispanic White, Non-Hispanic Black and Hispanic adult participants and adult participants of other ethnic groups (20-85 years) with serum NfL measurements who were followed for ≤ 6 years till 2019. We tested the association of serum NfL with mortality in the overall population and stratified by sex with the addition of potential interactive and mediating effects of cardio-metabolic risk factors and nutritional biomarkers. Elevated serum NfL levels (above median group) were associated with mortality risk compared to the below median NfL group in the overall sample (P = 0.010), with trends observed within each sex group (P < 0.10). When examining Loge NfL as a continuum, one standard deviation of Loge NfL was associated with an increased mortality risk (HR = 1.88, 95% CI 1.60-2.20, P < 0.001) in the reduced model adjusted for age, sex, race, and poverty income ratio; a finding only slightly attenuated with the adjustment of lifestyle and health-related factors. Four-way decomposition indicated that there was, among others, mediated interaction between NfL and HbA1c and a pure inconsistent mediation with 25(OH)D3 in predicting all-cause mortality, in models adjusted for all other covariates. Furthermore, urinary albumin-to-creatinine ratio interacted synergistically with NfL in relation to mortality risk both on the additive and multiplicative scales. These data indicate that elevated serum NfL levels were associated with all-cause mortality in a nationally representative sample of US adults.
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Affiliation(s)
- May A Beydoun
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, USA.
- NIH Biomedical Research Center, National Institute on Aging, IRP, 251 Bayview Blvd., Suite 100, Room #: 04B118, Baltimore, MD, 21224, USA.
| | - Nicole Noren Hooten
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, USA
| | - Michael F Georgescu
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, USA
| | - Hind A Beydoun
- Department of Research Programs, Fort Belvoir Community Hospital, Fort Belvoir, VA, USA
| | - Shaker M Eid
- Department of Medicine, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | | | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, USA
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, USA
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3
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Khalil M, Teunissen CE, Lehmann S, Otto M, Piehl F, Ziemssen T, Bittner S, Sormani MP, Gattringer T, Abu-Rumeileh S, Thebault S, Abdelhak A, Green A, Benkert P, Kappos L, Comabella M, Tumani H, Freedman MS, Petzold A, Blennow K, Zetterberg H, Leppert D, Kuhle J. Neurofilaments as biomarkers in neurological disorders - towards clinical application. Nat Rev Neurol 2024; 20:269-287. [PMID: 38609644 DOI: 10.1038/s41582-024-00955-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/15/2024] [Indexed: 04/14/2024]
Abstract
Neurofilament proteins have been validated as specific body fluid biomarkers of neuro-axonal injury. The advent of highly sensitive analytical platforms that enable reliable quantification of neurofilaments in blood samples and simplify longitudinal follow-up has paved the way for the development of neurofilaments as a biomarker in clinical practice. Potential applications include assessment of disease activity, monitoring of treatment responses, and determining prognosis in many acute and chronic neurological disorders as well as their use as an outcome measure in trials of novel therapies. Progress has now moved the measurement of neurofilaments to the doorstep of routine clinical practice for the evaluation of individuals. In this Review, we first outline current knowledge on the structure and function of neurofilaments. We then discuss analytical and statistical approaches and challenges in determining neurofilament levels in different clinical contexts and assess the implications of neurofilament light chain (NfL) levels in normal ageing and the confounding factors that need to be considered when interpreting NfL measures. In addition, we summarize the current value and potential clinical applications of neurofilaments as a biomarker of neuro-axonal damage in a range of neurological disorders, including multiple sclerosis, Alzheimer disease, frontotemporal dementia, amyotrophic lateral sclerosis, stroke and cerebrovascular disease, traumatic brain injury, and Parkinson disease. We also consider the steps needed to complete the translation of neurofilaments from the laboratory to the management of neurological diseases in clinical practice.
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Affiliation(s)
- Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria.
| | - Charlotte E Teunissen
- Neurochemistry Laboratory Department of Laboratory Medicine, Amsterdam Neuroscience, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, Netherlands
| | - Sylvain Lehmann
- LBPC-PPC, Université de Montpellier, INM INSERM, IRMB CHU de Montpellier, Montpellier, France
| | - Markus Otto
- Department of Neurology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Fredrik Piehl
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Stefan Bittner
- Department of Neurology, Focus Program Translational Neuroscience (FTN), and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Maria Pia Sormani
- Department of Health Sciences, University of Genova, Genova, Italy
- IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Thomas Gattringer
- Department of Neurology, Medical University of Graz, Graz, Austria
- Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | - Samir Abu-Rumeileh
- Department of Neurology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Simon Thebault
- Multiple Sclerosis Division, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ahmed Abdelhak
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco, CA, USA
| | - Ari Green
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco, CA, USA
| | - Pascal Benkert
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Ludwig Kappos
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Manuel Comabella
- Neurology Department, Multiple Sclerosis Centre of Catalonia, Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Hayrettin Tumani
- Department of Neurology, CSF Laboratory, Ulm University Hospital, Ulm, Germany
| | - Mark S Freedman
- Department of Medicine, University of Ottawa, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Axel Petzold
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Neurology, MS Centre and Neuro-ophthalmology Expertise Centre Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
- Moorfields Eye Hospital, The National Hospital for Neurology and Neurosurgery and the Queen Square Institute of Neurology, UCL, London, UK
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
- Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, and Department of Neurology, Institute on Aging and Brain Disorders, University of Science and Technology of China and First Affiliated Hospital of USTC, Hefei, P. R. China
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - David Leppert
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland.
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland.
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Stanne TM, Gonzalez-Ortiz F, Brännmark C, Jood K, Karikari T, Blennow K, Jern C. Association of Plasma Brain-Derived Tau With Functional Outcome After Ischemic Stroke. Neurology 2024; 102:e209129. [PMID: 38545929 PMCID: PMC10962917 DOI: 10.1212/wnl.0000000000209129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 11/16/2023] [Indexed: 04/10/2024] Open
Abstract
OBJECTIVES To investigate whether circulating acute-phase brain-derived tau (BD-tau) is associated with functional outcome after ischemic stroke. METHODS Plasma tau was measured by a novel assay that selectively quantifies BD-tau in the Sahlgrenska Academy Study on Ischemic Stroke (SAHLSIS), which includes adult cases with ischemic stroke and controls younger than 70 years, and in an independent cohort of adult cases of all ages (SAHLSIS2). Associations with unfavorable 3-month functional outcome (modified Rankin scale score >2) were analyzed by logistic regression. Various stratified and sensitivity analyses were performed, for example, by age, stroke severity, recanalization therapy, and etiologic subtype. RESULTS This study included 454 and 364 cases from the SAHLSIS and SAHLSIS2, with a median age of 58 and 68 years, respectively. Higher acute BD-tau concentrations were significantly associated with increased odds of unfavorable outcome after adjustment for age, sex, day of blood draw, and stroke severity (NIH stroke scale score) in both cohorts (OR per doubling of BD-tau: 2.9 [95% CI 2.2-3.7], P = 1 × 10-15 and 1.8 [1.5-2.2], P = 7 × 10-9, respectively). The association was consistent in the different stratified and sensitivity analyses. DISCUSSION BD-tau is a promising blood-based biomarker of ischemic stroke outcomes, and future studies in larger cohorts are warranted.
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Affiliation(s)
- Tara M Stanne
- From the Department of Laboratory Medicine (T.M.S., C.B., C.J.), Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg; Department of Clinical Genetics and Genomics (T.M.S., C.J.), Region Västra Götaland, Sahlgrenska University Hospital; Department of Psychiatry and Neurochemistry (F.G.-O., T.K., K.B.), Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg; Clinical Neurochemistry Laboratory (F.G.-O., K.B.); Department of Research, Development, Education and Innovation (C.B.), Region Västra Götaland, Sahlgrenska University Hospital; Department of Clinical Neuroscience (K.J.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg; Department of Neurology (K.J.), Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden; and Department of Psychiatry (T.K.), University of Pittsburgh
| | - Fernando Gonzalez-Ortiz
- From the Department of Laboratory Medicine (T.M.S., C.B., C.J.), Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg; Department of Clinical Genetics and Genomics (T.M.S., C.J.), Region Västra Götaland, Sahlgrenska University Hospital; Department of Psychiatry and Neurochemistry (F.G.-O., T.K., K.B.), Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg; Clinical Neurochemistry Laboratory (F.G.-O., K.B.); Department of Research, Development, Education and Innovation (C.B.), Region Västra Götaland, Sahlgrenska University Hospital; Department of Clinical Neuroscience (K.J.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg; Department of Neurology (K.J.), Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden; and Department of Psychiatry (T.K.), University of Pittsburgh
| | - Cecilia Brännmark
- From the Department of Laboratory Medicine (T.M.S., C.B., C.J.), Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg; Department of Clinical Genetics and Genomics (T.M.S., C.J.), Region Västra Götaland, Sahlgrenska University Hospital; Department of Psychiatry and Neurochemistry (F.G.-O., T.K., K.B.), Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg; Clinical Neurochemistry Laboratory (F.G.-O., K.B.); Department of Research, Development, Education and Innovation (C.B.), Region Västra Götaland, Sahlgrenska University Hospital; Department of Clinical Neuroscience (K.J.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg; Department of Neurology (K.J.), Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden; and Department of Psychiatry (T.K.), University of Pittsburgh
| | - Katarina Jood
- From the Department of Laboratory Medicine (T.M.S., C.B., C.J.), Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg; Department of Clinical Genetics and Genomics (T.M.S., C.J.), Region Västra Götaland, Sahlgrenska University Hospital; Department of Psychiatry and Neurochemistry (F.G.-O., T.K., K.B.), Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg; Clinical Neurochemistry Laboratory (F.G.-O., K.B.); Department of Research, Development, Education and Innovation (C.B.), Region Västra Götaland, Sahlgrenska University Hospital; Department of Clinical Neuroscience (K.J.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg; Department of Neurology (K.J.), Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden; and Department of Psychiatry (T.K.), University of Pittsburgh
| | - Thomas Karikari
- From the Department of Laboratory Medicine (T.M.S., C.B., C.J.), Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg; Department of Clinical Genetics and Genomics (T.M.S., C.J.), Region Västra Götaland, Sahlgrenska University Hospital; Department of Psychiatry and Neurochemistry (F.G.-O., T.K., K.B.), Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg; Clinical Neurochemistry Laboratory (F.G.-O., K.B.); Department of Research, Development, Education and Innovation (C.B.), Region Västra Götaland, Sahlgrenska University Hospital; Department of Clinical Neuroscience (K.J.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg; Department of Neurology (K.J.), Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden; and Department of Psychiatry (T.K.), University of Pittsburgh
| | - Kaj Blennow
- From the Department of Laboratory Medicine (T.M.S., C.B., C.J.), Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg; Department of Clinical Genetics and Genomics (T.M.S., C.J.), Region Västra Götaland, Sahlgrenska University Hospital; Department of Psychiatry and Neurochemistry (F.G.-O., T.K., K.B.), Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg; Clinical Neurochemistry Laboratory (F.G.-O., K.B.); Department of Research, Development, Education and Innovation (C.B.), Region Västra Götaland, Sahlgrenska University Hospital; Department of Clinical Neuroscience (K.J.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg; Department of Neurology (K.J.), Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden; and Department of Psychiatry (T.K.), University of Pittsburgh
| | - Christina Jern
- From the Department of Laboratory Medicine (T.M.S., C.B., C.J.), Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg; Department of Clinical Genetics and Genomics (T.M.S., C.J.), Region Västra Götaland, Sahlgrenska University Hospital; Department of Psychiatry and Neurochemistry (F.G.-O., T.K., K.B.), Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg; Clinical Neurochemistry Laboratory (F.G.-O., K.B.); Department of Research, Development, Education and Innovation (C.B.), Region Västra Götaland, Sahlgrenska University Hospital; Department of Clinical Neuroscience (K.J.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg; Department of Neurology (K.J.), Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden; and Department of Psychiatry (T.K.), University of Pittsburgh
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Vollmuth C, Fiessler C, Montellano FA, Kollikowski AM, Essig F, Oeckl P, Barba L, Steinacker P, Schulz C, Ungethüm K, Wolf J, Pham M, Schuhmann MK, Heuschmann PU, Haeusler KG, Stoll G, Otto M, Neugebauer H. Incremental value of serum neurofilament light chain and glial fibrillary acidic protein as blood-based biomarkers for predicting functional outcome in severe acute ischemic stroke. Eur Stroke J 2024:23969873241234436. [PMID: 38400734 DOI: 10.1177/23969873241234436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/26/2024] Open
Abstract
INTRODUCTION Blood-based biomarkers may improve prediction of functional outcome in patients with acute ischemic stroke. The role of neurofilament light chain (NfL) and glial fibrillary acidic (GFAP) as potential biomarkers especially in severe stroke patients is unknown. PATIENTS AND METHODS Prospective, monocenter, cohort study including consecutive patients with severe ischemic stroke in the anterior circulation on admission (NIHSS score ⩾ 6 points or indication for mechanical thrombectomy). Outcome was assessed 3 months after the index stroke by the modified Rankin Scale (mRS). Serum biomarkers levels of NfL and GFAP were determined by ultrasensitive ELISA. Univariate and multivariate logistic regression models were performed to determine the association of biomarker levels and functional disability. Discrimination, calibration, and overall performance were analyzed in different models via AUROC, calibration plots (with Emax and Eavg), Brier-score and R2 using variables, identified as important covariates for functional outcome in previous studies. RESULTS Between 06/2020 and 08/2021, 213 patients were included [47% female, mean age 76 (SD ± 12) years, median NIHSS score 13 (interquartile range, IQR 9; 17)]. Biomarker serum levels were measured at a median of 1 [IQR, 1; 2] day after admission. Compared to patients with mRS 0-2 at 3 months, patients with mRS 3-6 had higher serum levels of NfL (median: 136 pg/ml vs 41 pg/ml; p < 0.0001) and GFAP (700 ng/ml vs 9.6 ng/ml; p < 0.0001). Both biomarkers were significantly associated with functional outcome [adjusted logistic regression, odds ratio (95% CI) for NfL: 2.63 (1.62; 4.56), GFAP: 2.16 (1.58; 3.09)]. In all models the addition of serum NfL led to a significant improvement in the AUROC, as did the addition of serum GFAP. Calibration plots showed high agreement between the predicted and observed outcomes and after addition of the two blood-based biomarkers there was an improvement of the overall performance. CONCLUSION Prediction of functional outcome after severe acute ischemic stroke was improved by the blood-based biomarkers serum NfL and GFAP, measured in the acute phase of stroke. These findings have to be replicated in independent external cohorts.Study registration: DRKS00022064.
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Affiliation(s)
- Christoph Vollmuth
- University Hospital Würzburg, Department of Neurology, Würzburg, Germany
| | - Cornelia Fiessler
- University of Würzburg, Institute for Clinical Epidemiology and Biometry, Würzburg, Germany
| | - Felipe A Montellano
- University Hospital Würzburg, Department of Neurology, Würzburg, Germany
- University of Würzburg, Institute for Clinical Epidemiology and Biometry, Würzburg, Germany
| | | | - Fabian Essig
- University Hospital Würzburg, Department of Neurology, Würzburg, Germany
| | - Patrick Oeckl
- University Hospital Ulm, Department of Neurology, Ulm, Germany
- German Center for Neurodegenerative Diseases e.V. (DZNE) Ulm, Ulm, Germany
| | - Lorenzo Barba
- Martin-Luther-University of Halle-Wittenberg, Department of Neurology, Halle (Saale), Germany
| | - Petra Steinacker
- Martin-Luther-University of Halle-Wittenberg, Department of Neurology, Halle (Saale), Germany
| | - Cara Schulz
- University Hospital Würzburg, Department of Neurology, Würzburg, Germany
| | - Kathrin Ungethüm
- University of Würzburg, Institute for Clinical Epidemiology and Biometry, Würzburg, Germany
| | - Judith Wolf
- University Hospital Würzburg, Department of Neurology, Würzburg, Germany
| | - Mirko Pham
- University Hospital Würzburg, Department of Neuroradiology, Würzburg, Germany
| | | | - Peter U Heuschmann
- University of Würzburg, Institute for Clinical Epidemiology and Biometry, Würzburg, Germany
- Institute for Medical Data Science, University Hospital Würzburg, Würzburg, Germany
- Clinical Trial Centre, University Hospital Würzburg, Würzburg, Germany
| | | | - Guido Stoll
- University Hospital Würzburg, Department of Neurology, Würzburg, Germany
| | - Markus Otto
- Martin-Luther-University of Halle-Wittenberg, Department of Neurology, Halle (Saale), Germany
| | - Hermann Neugebauer
- University Hospital Würzburg, Department of Neurology, Würzburg, Germany
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6
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Hansra GK, Jayasena T, Hosoki S, Poljak A, Lam BCP, Rust R, Sagare A, Zlokovic B, Thalamuthu A, Sachdev PS. Fluid biomarkers of the neurovascular unit in cerebrovascular disease and vascular cognitive disorders: A systematic review and meta-analysis. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2024; 6:100216. [PMID: 38510579 PMCID: PMC10951911 DOI: 10.1016/j.cccb.2024.100216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 01/30/2024] [Accepted: 02/16/2024] [Indexed: 03/22/2024]
Abstract
Background The disruption of the neurovascular unit (NVU), which maintains the integrity of the blood brain barrier (BBB), has been identified as a critical mechanism in the development of cerebrovascular and neurodegenerative disorders. However, the understanding of the pathophysiological mechanisms linking NVU dysfunction to the disorders is incomplete, and reliable blood biomarkers to measure NVU dysfunction are yet to be established. This systematic review and meta-analysis aimed to identify biomarkers associated with BBB dysfunction in large vessel disease, small vessel disease (SVD) and vascular cognitive disorders (VCD). Methods A literature search was conducted in PubMed, EMBASE, Scopus and PsychINFO to identify blood biomarkers related to dysfunction of the NVU in disorders with vascular pathologies published until 20 November 2023. Studies that assayed one or more specific markers in human serum or plasma were included. Quality of studies was assessed using the Newcastle-Ottawa Quality Assessment Scale. Effects were pooled and methodological heterogeneity examined using the random effects model. Results A total of 112 studies were included in this review. Where study numbers allowed, biomarkers were analysed using random effect meta-analysis for VCD (1 biomarker; 5 studies) and cerebrovascular disorders, including stroke and SVD (9 biomarkers; 29 studies) while all remaining biomarkers (n = 17 biomarkers; 78 studies) were examined through qualitative analysis. Results of the meta-analysis revealed that cerebrospinal fluid/serum albumin quotient (Q-Alb) reliably differentiates VCD patients from healthy controls (MD = 2.77; 95 % CI = 1.97-3.57; p < 0.0001) while commonly measured biomarkers of endothelial dysfunction (VEGF, VCAM-1, ICAM-1, vWF and E-selectin) and neuronal injury (NfL) were significantly elevated in vascular pathologies. A qualitative assessment of non-meta-analysed biomarkers revealed NSE, NfL, vWF, ICAM-1, VCAM-1, lipocalin-2, MMP-2 and MMP-9 levels to be upregulated in VCD, although these findings were not consistently replicated. Conclusions This review identifies several promising biomarkers of NVU dysfunction which require further validation. A panel of biomarkers representing multiple pathophysiological pathways may offer greater discriminative power in distinguishing possible disease mechanisms of VCD.
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Affiliation(s)
- Gurpreet Kaur Hansra
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Tharusha Jayasena
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Satoshi Hosoki
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
- Department of Neurology, National Cerebral and Cardiovascular Centre, Suita, Japan
| | - Anne Poljak
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
- Bioanalytical Mass Spectrometry Facility, Mark Wainwright Analytical Centre, University of New South Wales, NSW, Australia
| | - Ben Chun Pan Lam
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
- School of Psychology and Public Health, La Trobe University, Melbourne, Australia
| | - Ruslan Rust
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Abhay Sagare
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Berislav Zlokovic
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
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Kruize Z, van Campen I, Vermunt L, Geerse O, Stoffels J, Teunissen C, van Zuylen L. Delirium pathophysiology in cancer: neurofilament light chain biomarker - narrative review. BMJ Support Palliat Care 2024:spcare-2024-004781. [PMID: 38290815 DOI: 10.1136/spcare-2024-004781] [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: 01/10/2024] [Accepted: 01/10/2024] [Indexed: 02/01/2024]
Abstract
Background Delirium is a debilitating disorder with high prevalence near the end of life, impacting quality of life of patients and their relatives. Timely recognition of delirium can lead to prevention and/or better treatment of delirium. According to current hypotheses delirium is thought to result from aberrant inflammation and neurotransmission, with a possible role for neuronal damage. Neurofilament light chain (NfL) is a protein biomarker in body fluids that is unique to neurons, with elevated levels when neurons are damaged, making NfL a viable biomarker for early detection of delirium. This narrative review summarises current research regarding the pathophysiology of delirium and the potential of NfL as a susceptibility biomarker for delirium and places this in the context of care for patients with advanced cancer.Results Six studies were conducted exclusively on NfL in patients with delirium. Three of these studies demonstrated that high plasma NfL levels preoperatively predict delirium in older adult patients postoperatively. Two studies demonstrated that high levels of NfL in intensive care unit (ICU) patients are correlated with delirium duration and severity. One study found that incident delirium in older adult patients was associated with increased median NfL levels during hospitalisation.Conclusions Targeted studies are required to understand if NfL is a susceptibility biomarker for delirium in patients with advanced cancer. In this palliative care context, better accessible matrices, such as saliva or urine, would be helpful for repetitive testing. Improvement of biological measures for delirium can lead to improved early recognition and lay the groundwork for novel therapeutic strategies.
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Affiliation(s)
- Zita Kruize
- Department of Medical Oncology, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Isa van Campen
- Department of Medical Oncology, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Lisa Vermunt
- Department of Laboratory medicine, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Olaf Geerse
- Department of Medical Oncology, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Josephine Stoffels
- Department of Internal Medicine, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Charlotte Teunissen
- Department of Laboratory medicine, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Lia van Zuylen
- Department of Medical Oncology, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
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8
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Hahn M, Hayani E, Bitar L, Gröschel S, Steffen F, Protopapa M, Othman A, Bittner S, Zipp F, Gröschel K, Uphaus T. Strict blood pressure control following thrombectomy is associated with neuronal injury and poor functional outcome. Ann Clin Transl Neurol 2023; 10:2255-2265. [PMID: 37743753 PMCID: PMC10723244 DOI: 10.1002/acn3.51909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 07/31/2023] [Accepted: 09/09/2023] [Indexed: 09/26/2023] Open
Abstract
OBJECTIVE Mechanical thrombectomy (MT) has become standard treatment in acute ischemic stroke due to large vessel occlusion (LVO). However, optimal blood pressure (BP) management following successful recanalization remains unclear. We aim to investigate the association of strictly achieving BP targets of ≤160/90 mmHg with the extent of neuronal loss and functional outcome. METHODS In patients prospectively enrolled in the Gutenberg-Stroke-Study (May 2018-November 2019), BP was measured half-hourly for 24 h following MT. Based on achieving BP target of ≤160/90 mmHg, patients with successful recanalization of LVO were divided into "low-BP" group (BP ≤ 160/90 mmHg) or "high-BP" group (BP > 160/90 mmHg). Neuronal loss was quantified by serum-based measurement of neurofilament light chain (sNfL) after three days. BP groups and association of BP parameters with sNfL were investigated by correlation analyses and multiple regression modeling. RESULTS Of 253 enrolled patients (mean age 73.1 ± 12.9 years, 53.4% female), 165 met inclusion criteria. 21.2% (n = 35) strictly achieved "low-BP" target. "low-BP" was associated with unfavorable functional outcome at 90-day follow-up (aOR [95%CI]: 5.88 [1.88-18.32], p = 0.002) and decreased health-related quality of life (mean EQ-5D-index 0.45 ± 0.28 vs 0.63 ± 0.31, p = 0.009). sNfL levels were increased in "low-BP" patients (median [IQR] 239.7 [168.4-303.4] vs 118.8 [52.5-220.5] pg/mL, p = 0.026). Hypotensive episodes were more frequent in the "low-BP" group (48.6% vs 29.2%, p = 0.031). sNfL level could identify patients who had experienced hypotensive episodes with high discriminative ability (AUC [95%CI]: 0.68 [0.56-0.78], p = 0.007). INTERPRETATION Strict BP control (≤160/90 mmHg) within 24 h following successful recanalization of LVO by MT is associated with increased neuronal injury, displayed by higher sNfL levels, and poorer functional outcome, potentially indicating hypotension-induced neuronal loss during post-MT phase.
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Affiliation(s)
- Marianne Hahn
- Department of Neurology and Focus Program Translational Neuroscience (FTN), Rhine main Neuroscience Network (rmn2)University Medical Center of the Johannes Gutenberg University MainzMainzGermany
| | - Eyad Hayani
- Department of Neurology and Focus Program Translational Neuroscience (FTN), Rhine main Neuroscience Network (rmn2)University Medical Center of the Johannes Gutenberg University MainzMainzGermany
| | - Lynn Bitar
- Department of Neurology and Focus Program Translational Neuroscience (FTN), Rhine main Neuroscience Network (rmn2)University Medical Center of the Johannes Gutenberg University MainzMainzGermany
| | - Sonja Gröschel
- Department of Neurology and Focus Program Translational Neuroscience (FTN), Rhine main Neuroscience Network (rmn2)University Medical Center of the Johannes Gutenberg University MainzMainzGermany
| | - Falk Steffen
- Department of Neurology and Focus Program Translational Neuroscience (FTN), Rhine main Neuroscience Network (rmn2)University Medical Center of the Johannes Gutenberg University MainzMainzGermany
| | - Maria Protopapa
- Department of Neurology and Focus Program Translational Neuroscience (FTN), Rhine main Neuroscience Network (rmn2)University Medical Center of the Johannes Gutenberg University MainzMainzGermany
| | - Ahmed Othman
- Department of NeuroradiologyUniversity Medical Center of the Johannes Gutenberg University MainzMainzGermany
| | - Stefan Bittner
- Department of Neurology and Focus Program Translational Neuroscience (FTN), Rhine main Neuroscience Network (rmn2)University Medical Center of the Johannes Gutenberg University MainzMainzGermany
| | - Frauke Zipp
- Department of Neurology and Focus Program Translational Neuroscience (FTN), Rhine main Neuroscience Network (rmn2)University Medical Center of the Johannes Gutenberg University MainzMainzGermany
| | - Klaus Gröschel
- Department of Neurology and Focus Program Translational Neuroscience (FTN), Rhine main Neuroscience Network (rmn2)University Medical Center of the Johannes Gutenberg University MainzMainzGermany
| | - Timo Uphaus
- Department of Neurology and Focus Program Translational Neuroscience (FTN), Rhine main Neuroscience Network (rmn2)University Medical Center of the Johannes Gutenberg University MainzMainzGermany
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9
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Veje M, Griška V, Pakalnienė J, Mickienė A, Bremell D, Zetterberg H, Blennow K, Lindquist L, Studahl M. Serum and cerebrospinal fluid brain damage markers neurofilament light and glial fibrillary acidic protein correlate with tick-borne encephalitis disease severity-a multicentre study on Lithuanian and Swedish patients. Eur J Neurol 2023; 30:3182-3189. [PMID: 37431060 DOI: 10.1111/ene.15978] [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: 03/08/2023] [Revised: 06/07/2023] [Accepted: 07/04/2023] [Indexed: 07/12/2023]
Abstract
BACKGROUND AND PURPOSE Our aim was to examine the correlation between biomarkers of neuronal and glial cell damage and severity of disease in patients with tick-borne encephalitis. METHODS One hundred and fifteen patients with tick-borne encephalitis diagnosed in Lithuania and Sweden were prospectively included, and cerebrospinal fluid (CSF) and serum samples were obtained shortly after hospitalization. Using pre-defined criteria, cases were classified as mild, moderate or severe tick-borne encephalitis. Additionally, the presence of spinal nerve paralysis (myelitis) and/or cranial nerve affection were noted. Concentrations of the brain cell biomarkers glial fibrillary acidic protein (GFAP), YKL-40, S100B, neurogranin, neurofilament light (NfL) and tau were analysed in CSF and, in addition, NfL, GFAP and S100B levels were measured in serum. The Jonckheere-Terpstra test was used for group comparisons of continuous variables and Spearman's partial correlation test was used to adjust for age. RESULTS Cerebrospinal fluid and serum concentrations of GFAP and NfL correlated with disease severity, independent of age, and with the presence of nerve paralysis. The markers neurogranin, YKL-40, tau and S100B in CSF and S100B in serum were detected, but their concentrations did not correlate with disease severity. CONCLUSIONS Neuronal cell damage and astroglial cell activation with increased NfL and GFAP in CSF and serum were associated with a more severe disease, independent of age. Increased GFAP and NfL concentrations in CSF and NfL in serum were also indicative of spinal and/or cranial nerve damage. NfL and GFAP are promising prognostic biomarkers in tick-borne encephalitis, and future studies should focus on determining the association between these biomarkers and long-term sequelae.
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Affiliation(s)
- Malin Veje
- Institute of Biomedicine, Department of Infectious Diseases, Sahlgrenska Academy at the Gothenburg University, Gothenburg, Sweden
- Region Västra Götaland, Department of Infectious Diseases, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Vytautas Griška
- Department of Infectious Diseases, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Jolita Pakalnienė
- Department of Infectious Diseases, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Auksė Mickienė
- Department of Infectious Diseases, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Daniel Bremell
- Institute of Biomedicine, Department of Infectious Diseases, Sahlgrenska Academy at the Gothenburg University, Gothenburg, Sweden
- Region Västra Götaland, Department of Infectious Diseases, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - 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
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - 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
| | - Lars Lindquist
- Department of Medicine, Karolinska Institute, Stockholm, Sweden
| | - Marie Studahl
- Institute of Biomedicine, Department of Infectious Diseases, Sahlgrenska Academy at the Gothenburg University, Gothenburg, Sweden
- Region Västra Götaland, Department of Infectious Diseases, Sahlgrenska University Hospital, Gothenburg, Sweden
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10
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Beydoun MA, Noren Hooten N, Beydoun HA, Weiss J, Maldonado AI, Katzel LI, Davatzikos C, Gullapalli RP, Seliger SL, Erus G, Evans MK, Zonderman AB, Waldstein SR. Plasma neurofilament light and brain volumetric outcomes among middle-aged urban adults. Neurobiol Aging 2023; 129:28-40. [PMID: 37257406 PMCID: PMC10524231 DOI: 10.1016/j.neurobiolaging.2023.04.013] [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: 02/13/2023] [Revised: 04/05/2023] [Accepted: 04/30/2023] [Indexed: 06/02/2023]
Abstract
Elevated plasma neurofilament light chain (NfL) is associated with dementia though underlying mechanisms remain unknown. We examined cross-sectional relationships of time-dependent plasma NfL with selected brain structural magnetic resonance imaging (sMRI) prognostic markers of dementia. The sample was drawn from the Healthy Aging in Neighborhoods of Diversity Across the Life Span (HANDLS) study, selecting participants with complete v1 (2004-2009) and v2 (2009-2013) plasma NfL exposure and ancillary sMRI data at vscan (2011-2015, n = 179, mean v1 to vscan time: 5.4 years). Multivariable-adjusted linear regression models were conducted, overall, by sex, and race, correcting for multiple testing with q-values. NfL(v1) was associated with larger WMLV (both Loge transformed), after 5-6 years' follow-up, overall (β = +2.131 ± 0.660, b = +0.29, p = 0.001, and q = 0.0029) and among females. NfLv2 was linked to a 125 mm3 lower left hippocampal volume (p = 0.004 and q = 0.015) in reduced models, mainly among males, as was observed for annualized longitudinal change in NfL (δNfLbayes). Among African American adults, NfLv1 was inversely related to total, gray and white matter volumes. Plasma NfL may reflect future brain pathologies in middle-aged adults.
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Affiliation(s)
- May A Beydoun
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, USA.
| | - Nicole Noren Hooten
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, USA
| | - Hind A Beydoun
- Department of Research Programs, Fort Belvoir Community Hospital, Fort Belvoir, VA, USA
| | - Jordan Weiss
- Department of Demography, University of California Berkeley, Berkeley, CA, USA
| | - Ana I Maldonado
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, USA; Department of Psychology, University of Maryland, Baltimore County, Catonsville, MD, USA
| | - Leslie I Katzel
- Geriatric Research Education and Clinical Center, Baltimore VA Medical Center, Baltimore, MD, USA; Division of Gerontology, Geriatrics and Palliative Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Christos Davatzikos
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Rao P Gullapalli
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Stephen L Seliger
- Division of Nephrology, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Guray Erus
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, USA
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, USA
| | - Shari R Waldstein
- Department of Psychology, University of Maryland, Baltimore County, Catonsville, MD, USA; Geriatric Research Education and Clinical Center, Baltimore VA Medical Center, Baltimore, MD, USA; Division of Gerontology, Geriatrics and Palliative Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
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11
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Ferrari F, Rossi D, Ricciardi A, Morasso C, Brambilla L, Albasini S, Vanna R, Fassio C, Begenisic T, Loi M, Bossi D, Zaliani A, Alberici E, Lisi C, Morotti A, Cavallini A, Mazzacane F, Nardone A, Corsi F, Truffi M. Quantification and prospective evaluation of serum NfL and GFAP as blood-derived biomarkers of outcome in acute ischemic stroke patients. J Cereb Blood Flow Metab 2023; 43:1601-1611. [PMID: 37113060 PMCID: PMC10414005 DOI: 10.1177/0271678x231172520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 03/15/2023] [Accepted: 03/24/2023] [Indexed: 04/29/2023]
Abstract
Identification of reliable and accessible biomarkers to characterize ischemic stroke patients' prognosis remains a clinical challenge. Neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP) are markers of brain injury, detectable in blood by high-sensitive technologies. Our aim was to measure serum NfL and GFAP after stroke, and to evaluate their correlation with functional outcome and the scores in rehabilitation scales at 3-month follow-up. Stroke patients were prospectively enrolled in a longitudinal observational study within 24 hours from symptom onset (D1) and monitored after 7 (D7), 30 ± 3 (M1) and 90 ± 5 (M3) days. At each time-point serum NfL and GFAP levels were measured by Single Molecule Array and correlated with National Institute of Health Stroke Scale (NIHSS), modified Rankin scale (mRS), Trunk Control Test (TCT), Functional Ambulation Classification (FAC) and Functional Independence Measure (FIM) scores. Serum NfL and GFAP showed different temporal profiles: NfL increased after stroke with a peak value at D7; GFAP showed an earlier peak at D1. NfL and GFAP concentrations correlated with clinical/rehabilitation outcomes both longitudinally and prospectively. Multivariate analysis revealed that NfL-D7 and GFAP-D1 were independent predictors of 3-month NIHSS, TCT, FAC and FIM scores, with NfL being the biomarker with the best predictive performance.
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Affiliation(s)
- Federica Ferrari
- Dept of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Emergency Neurology Unit and Stroke Unit, IRCCS Fondazione Mondino, Pavia, Italy
| | - Daniela Rossi
- Istituti Clinici Scientifici Maugeri IRCCS, Laboratory for Research on Neurodegenerative Disorders, Pavia, Italy
| | - Alessandra Ricciardi
- Istituti Clinici Scientifici Maugeri IRCCS, Laboratory of Nanomedicine and Molecular Imaging, Pavia, Italy
| | - Carlo Morasso
- Istituti Clinici Scientifici Maugeri IRCCS, Laboratory of Nanomedicine and Molecular Imaging, Pavia, Italy
| | - Liliana Brambilla
- Istituti Clinici Scientifici Maugeri IRCCS, Laboratory for Research on Neurodegenerative Disorders, Pavia, Italy
| | - Sara Albasini
- Istituti Clinici Scientifici Maugeri IRCCS, Laboratory of Nanomedicine and Molecular Imaging, Pavia, Italy
| | - Renzo Vanna
- Istituti Clinici Scientifici Maugeri IRCCS, Laboratory of Nanomedicine and Molecular Imaging, Pavia, Italy
| | - Chiara Fassio
- Istituti Clinici Scientifici Maugeri IRCCS, Department of Neurorehabilitation of Pavia Institute, Italy
| | - Tatjana Begenisic
- Istituti Clinici Scientifici Maugeri IRCCS, Department of Neurorehabilitation of Pavia Institute, Italy
| | - Marianna Loi
- Istituti Clinici Scientifici Maugeri IRCCS, Department of Neurorehabilitation of Pavia Institute, Italy
| | - Daniela Bossi
- Istituti Clinici Scientifici Maugeri IRCCS, Department of Neurorehabilitation of Pavia Institute, Italy
| | - Alberto Zaliani
- Istituti Clinici Scientifici Maugeri IRCCS, Department of Neurorehabilitation of Pavia Institute, Italy
| | - Elisa Alberici
- Istituti Clinici Scientifici Maugeri IRCCS, Neuroradiology Unit, Pavia, Italy
| | - Claudio Lisi
- Unit of Rehabilitation, Dept of Medical Sciences and Infectious Disease, IRCCS Policlinico San Matteo Foundation, University of Pavia, Pavia, Italy
| | - Andrea Morotti
- Neurology Unit, Dept of Neurological Sciences and Vision, ASST Spedali Civili, Brescia, Italy
| | - Anna Cavallini
- Emergency Neurology Unit and Stroke Unit, IRCCS Fondazione Mondino, Pavia, Italy
| | - Federico Mazzacane
- Dept of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Emergency Neurology Unit and Stroke Unit, IRCCS Fondazione Mondino, Pavia, Italy
| | - Antonio Nardone
- Dept of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy
- Istituti Clinici Scientifici Maugeri IRCCS, Department of Neurorehabilitation of Pavia Institute and Neurorehabilitation Unit of Montescano Institute, Pavia, Italy
| | - Fabio Corsi
- Istituti Clinici Scientifici Maugeri IRCCS, Laboratory of Nanomedicine and Molecular Imaging, Pavia, Italy
- Dept of Biomedical and Clinical Sciences, Università di Milano, Milano, Italy
| | - Marta Truffi
- Istituti Clinici Scientifici Maugeri IRCCS, Laboratory of Nanomedicine and Molecular Imaging, Pavia, Italy
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12
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Brunelli S, Giannella E, Bizzaglia M, De Angelis D, Sancesario GM. Secondary neurodegeneration following Stroke: what can blood biomarkers tell us? Front Neurol 2023; 14:1198216. [PMID: 37719764 PMCID: PMC10502514 DOI: 10.3389/fneur.2023.1198216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 08/14/2023] [Indexed: 09/19/2023] Open
Abstract
Stroke is one of the leading causes of death and the primary source of disability in adults, resulting in neuronal necrosis of ischemic areas, and in possible secondary degeneration of regions surrounding or distant to the initial damaged area. Secondary neurodegeneration (SNDG) following stroke has been shown to have different pathogenetic origins including inflammation, neurovascular response and cytotoxicity, but can be associated also to regenerative processes. Aside from focal neuronal loss, ipsilateral and contralateral effects distal to the lesion site, disruptions of global functional connectivity and a transcallosal diaschisis have been reported in the chronic stages after stroke. Furthermore, SNDG can be observed in different areas not directly connected to the primary lesion, such as thalamus, hippocampus, amygdala, substantia nigra, corpus callosum, bilateral inferior fronto-occipital fasciculus and superior longitudinal fasciculus, which can be highlighted by neuroimaging techniques. Although the clinical relevance of SNDG following stroke has not been well understood, the identification of specific biomarkers that reflect the brain response to the damage, is of paramount importance to investigate in vivo the different phases of stroke. Actually, brain-derived markers, particularly neurofilament light chain, tau protein, S100b, in post-stroke patients have yielded promising results. This review focuses on cerebral morphological modifications occurring after a stroke, on associated cellular and molecular changes and on state-of-the-art of biomarkers in acute and chronic phase. Finally, we discuss new perspectives regarding the implementation of blood-based biomarkers in clinical practice to improve the rehabilitation approaches and post stroke recovery.
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Affiliation(s)
- Stefano Brunelli
- NeuroRehabilitation Unit 4, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Emilia Giannella
- Clinical Neurochemistry Unit and Biobank, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Mirko Bizzaglia
- Radiology and Diagnostic Imaging Unit, IRCCS Santa Lucia Foundation, Rome, Italy
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13
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Wang X, Zhang S, Zhang Z, Zu J, Shi H, Yu L, Lv B, Cui L, Mao W, Wu D, Cui G. Increased plasma levels of circPTP4A2 and circTLK2 are associated with stroke injury. Ann Clin Transl Neurol 2023; 10:1481-1492. [PMID: 37350305 PMCID: PMC10424654 DOI: 10.1002/acn3.51837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 05/25/2023] [Accepted: 06/10/2023] [Indexed: 06/24/2023] Open
Abstract
OBJECTIVE Accumulating studies have shown that circulating circular RNAs (circRNAs) represent novel biomarkers for many human diseases. We investigated whether plasma circPTP4A2 and circTLK2 levels are associated with stroke severity, infarct volume, stroke etiology, and functional outcome in acute ischemic stroke (AIS) patients. METHODS We applied quantitative real-time PCR (qPCR) to measure plasma circPTP4A2 and circTLK2 levels of 236 AIS patients within 72 h of symptoms onset and 136 healthy controls. We further assessed the National Institutes of Health Stroke Scale (NIHSS), infarct size, the Trial of Org 10172 in Acute Stroke Treatment (TOAST) classification and the 90-day modified Rankin scale (mRS) for each patient. RESULTS At admission, plasma circPTP4A2 and circTLK2 levels in patients with moderate to severe stroke were significantly higher compared to those with mild stroke. Logistic regression and receiver-operating characteristic (ROC) curve analyses indicated that they might function as predictive biomarkers for moderate to severe stroke. We also observed a medium positive correlation between these two circRNAs and NIHSS. Plasma circPTP4A2 and circTLK2 levels were slight positively correlated with cerebral infarct volume only in anterior circulation infarction (ACI) patients. Levels of both circPTP4A2 and circTLK2 were closely related with large artery atherosclerosis (LAA) stroke. Moreover, changes within 7 days after admission in circPTP4A2 and circTLK2 were able to predict unfavorable clinical outcome 90 days after AIS. INTERPRETATION These results demonstrate that plasma circPTP4A2 and circTLK2 strongly correlated with severity, subtypes and prognosis of AIS, and they could serve as promising biomarkers.
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Affiliation(s)
- Xingzhi Wang
- Department of NeurologyThe Affiliated Hospital of Xuzhou Medical UniversityXuzhouJiangsuChina
- Jiangsu Key Laboratory of Brain Disease and Bioinformation, Research Center for Biochemistry and Molecular BiologyXuzhou Medical UniversityXuzhouJiangsuChina
- Institute of Stroke ResearchXuzhou Medical UniversityXuzhouJiangsuChina
| | - Shenyang Zhang
- Department of NeurologyThe Affiliated Hospital of Xuzhou Medical UniversityXuzhouJiangsuChina
- Institute of Stroke ResearchXuzhou Medical UniversityXuzhouJiangsuChina
- School of MedicineSoutheast UniversityNanjingJiangsuChina
| | - Zuohui Zhang
- Department of NeurologyThe Affiliated Hospital of Xuzhou Medical UniversityXuzhouJiangsuChina
- Institute of Stroke ResearchXuzhou Medical UniversityXuzhouJiangsuChina
| | - Jie Zu
- Department of NeurologyThe Affiliated Hospital of Xuzhou Medical UniversityXuzhouJiangsuChina
- Institute of Stroke ResearchXuzhou Medical UniversityXuzhouJiangsuChina
| | - Hongjuan Shi
- Department of NeurologyThe Affiliated Hospital of Xuzhou Medical UniversityXuzhouJiangsuChina
- Institute of Stroke ResearchXuzhou Medical UniversityXuzhouJiangsuChina
| | - Lu Yu
- Department of NeurologyThe Affiliated Hospital of Xuzhou Medical UniversityXuzhouJiangsuChina
- Institute of Stroke ResearchXuzhou Medical UniversityXuzhouJiangsuChina
| | - Bingchen Lv
- Department of NeurologyThe Affiliated Hospital of Xuzhou Medical UniversityXuzhouJiangsuChina
- Institute of Stroke ResearchXuzhou Medical UniversityXuzhouJiangsuChina
| | - Likun Cui
- Department of NeurologyThe Affiliated Hospital of Xuzhou Medical UniversityXuzhouJiangsuChina
- Institute of Stroke ResearchXuzhou Medical UniversityXuzhouJiangsuChina
| | - Wenqi Mao
- Department of NeurologyThe Affiliated Hospital of Xuzhou Medical UniversityXuzhouJiangsuChina
- Institute of Stroke ResearchXuzhou Medical UniversityXuzhouJiangsuChina
| | - Di Wu
- Department of NeurologyThe Affiliated Hospital of Xuzhou Medical UniversityXuzhouJiangsuChina
- Institute of Stroke ResearchXuzhou Medical UniversityXuzhouJiangsuChina
| | - Guiyun Cui
- Department of NeurologyThe Affiliated Hospital of Xuzhou Medical UniversityXuzhouJiangsuChina
- Institute of Stroke ResearchXuzhou Medical UniversityXuzhouJiangsuChina
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14
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WANG J, HAN LN, AI DS, WANG XY, ZHANG WJ, XU XR, LIU HB, ZHANG J, WANG P, LI X, CHEN ML. Growth differentiation factor 15 predicts cardiovascular events in stable coronary artery disease. J Geriatr Cardiol 2023; 20:527-537. [PMID: 37576485 PMCID: PMC10412535 DOI: 10.26599/1671-5411.2023.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/15/2023] Open
Abstract
BACKGROUND Growth differentiation factor 15 (GDF-15) has been explored as a potential biomarker for various inflammatory diseases and cardiovascular events. This study aimed to assess the predictive role of GDF-15 levels in cardiovascular events and all-cause mortality, considering traditional risk factors and other biomarkers. METHODS A prospective study was conducted and 3699 patients with stable coronary artery disease (CAD) were enrolled into the research. Baseline GDF-15 levels were measured. Median follow-up was 3.1 years during the study. We analyzed clinical variables and several biomarkers. Multivariable Cox regression analysis was performed to evaluate prognostic performance of GDF-15 levels in predicting myocardial infarction (MI), heart failure, stroke, cardiovascular death, and non-cardiovascular death. RESULTS Baseline GDF-15 levels for 3699 patients were grouped by quartile (≤ 1153, 1153-1888, 1888-3043, > 3043 ng/L). Higher GDF-15 levels were associated with older age, male gender, history of hypertension, and elevated levels of N-terminal pro B-type natriuretic peptide (NT-pro BNP), soluble suppression of tumorigenesis-2 (sST2), and creatine (each with P < 0.001). Adjusting for established risk factors and biomarkers in Cox proportional hazards models, a 1 standard deviation (SD) increase in GDF-15 was associated with elevated risk of clinical events [hazard ratio (HR) = 2.18, 95% confidence interval (CI): (1.52-3.11)], including: MI [HR = 2.83 95% CI: (1.03-7.74)], heart failure [HR = 2.71 95% CI: (1.18-6.23)], cardiovascular and non-cardiovascular death [HR = 2.48, 95% CI (1.49-4.11)] during the median follow up of 3.1 years. CONCLUSIONS Higher levels of GDF-15 consistently provides prognostic information for cardiovascular events and all cause death, independent of clinical risk factors and other biomarkers. GDF-15 could be considered as a valuable addition to future risk prediction model in secondary prevention for predicting clinical events in patient with stable CAD.
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Affiliation(s)
- Juan WANG
- Heart Center of Beijing Chao-Yang Hospital, Capital Medical University, Beijing Key Laboratory of Hypertension, Beijing, China
| | - Li-Na HAN
- Department of Cardiology, the Second Medical Center, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Dao-Sheng AI
- Academy for Advanced Interdisciplinary Studies, Peking University National Institute of Biological Sciences, Zhongguancun Life Science Park, Tsinghua University, Beijing, China
| | - Xin-Yu WANG
- Heart Center of Beijing Chao-Yang Hospital, Capital Medical University, Beijing Key Laboratory of Hypertension, Beijing, China
| | - Wan-Jing ZHANG
- Heart Center of Beijing Chao-Yang Hospital, Capital Medical University, Beijing Key Laboratory of Hypertension, Beijing, China
| | - Xiao-Rong XU
- Heart Center of Beijing Chao-Yang Hospital, Capital Medical University, Beijing Key Laboratory of Hypertension, Beijing, China
| | - Hong-Bin LIU
- Department of Cardiology, the Second Medical Center, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Jing ZHANG
- Heart Center of Beijing Chao-Yang Hospital, Capital Medical University, Beijing Key Laboratory of Hypertension, Beijing, China
| | - Pan WANG
- Heart Center of Beijing Chao-Yang Hospital, Capital Medical University, Beijing Key Laboratory of Hypertension, Beijing, China
| | - Xu LI
- Heart Center of Beijing Chao-Yang Hospital, Capital Medical University, Beijing Key Laboratory of Hypertension, Beijing, China
| | - Mu-Lei CHEN
- Heart Center of Beijing Chao-Yang Hospital, Capital Medical University, Beijing Key Laboratory of Hypertension, Beijing, China
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15
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Dhana A, DeCarli C, Aggarwal NT, Dhana K, Desai P, Evans DA, Rajan KB. Serum neurofilament light chain, brain infarcts, and the risk of stroke: a prospective population-based cohort study. Eur J Epidemiol 2023; 38:427-434. [PMID: 36867286 PMCID: PMC10081967 DOI: 10.1007/s10654-023-00978-6] [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: 10/05/2022] [Accepted: 02/17/2023] [Indexed: 03/04/2023]
Abstract
Neurofilament light chain (NfL), a neuron-specific protein, has been related to several neurodegenerative diseases. In addition, elevated levels of NfL have also been observed in patients admitted to the hospital for stroke, suggesting that NfL as a biomarker may extend well beyond neurodegenerative diseases. Therefore, using data from the Chicago Health and Aging Project (CHAP), a population-based cohort study, we prospectively investigated the association of serum NfL levels with incident stroke and brain infarcts. During a follow-up of 3603 person-years, 133 (16.3%) individuals developed incident stroke, including ischemic and hemorrhagic. The HR (95%CI) of incident stroke was 1.28 (95%CI 1.10-1.50) per 1 standard deviation (SD) increase of log10 NfL serum levels. Compared to participants in the first tertile of NfL (i.e., lower levels), the risk of stroke was 1.68 times higher (95%CI 1.07-2.65) in those in the second tertile and 2.35 times higher (95%CI 1.45-3.81) in those in the third tertile of NfL. NfL levels were also positively associated with brain infarcts; 1-SD in log10 NfL levels was associated with 1.32 (95%CI 1.06-1.66) higher odds of one or more brain infarcts. These results suggest that NfL may serve as a biomarker of stroke in older adults.
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Affiliation(s)
- Anisa Dhana
- Rush Institute for Healthy Aging, Rush University Medical Center, 1700 W Van Buren, Suite 245, Chicago, IL, 60612, US.
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, US.
| | - Charles DeCarli
- Department of Neurology, University of California at Davis, Sacramento, CA, US
| | - Neelum T Aggarwal
- Department of Neurological Sciences and the Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, US
- Department of Neurology, Rush University Medical Center, Chicago, IL, US
| | - Klodian Dhana
- Rush Institute for Healthy Aging, Rush University Medical Center, 1700 W Van Buren, Suite 245, Chicago, IL, 60612, US
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, US
| | - Pankaja Desai
- Rush Institute for Healthy Aging, Rush University Medical Center, 1700 W Van Buren, Suite 245, Chicago, IL, 60612, US
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, US
| | - Denis A Evans
- Rush Institute for Healthy Aging, Rush University Medical Center, 1700 W Van Buren, Suite 245, Chicago, IL, 60612, US
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, US
| | - Kumar B Rajan
- Rush Institute for Healthy Aging, Rush University Medical Center, 1700 W Van Buren, Suite 245, Chicago, IL, 60612, US
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, US
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16
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Chong JR, Hilal S, Ashton NJ, Karikari TK, Reilhac A, Vrooman H, Schöll M, Zetterberg H, Blennow K, Chen CP, Lai MKP. Brain atrophy and white matter hyperintensities are independently associated with plasma neurofilament light chain in an Asian cohort of cognitively impaired patients with concomitant cerebral small vessel disease. ALZHEIMER'S & DEMENTIA : DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2023; 15:e12396. [PMID: 36994314 PMCID: PMC10040495 DOI: 10.1002/dad2.12396] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 12/14/2022] [Accepted: 12/20/2022] [Indexed: 03/28/2023]
Abstract
Introduction Plasma neurofilament light chain (NfL) is a potential biomarker for neurodegeneration in Alzheimer's disease (AD), ischemic stroke, and non‐dementia cohorts with cerebral small vessel disease (CSVD). However, studies of AD in populations with high prevalence of concomitant CSVD to evaluate associations of brain atrophy, CSVD, and amyloid beta (Aβ) burden on plasma NfL are lacking. Methods Associations were tested between plasma NfL and brain Aβ, medial temporal lobe atrophy (MTA) as well as neuroimaging features of CSVD, including white matter hyperintensities (WMH), lacunes, and cerebral microbleeds. Results We found that participants with either MTA (defined as MTA score ≥2; neurodegeneration [N]+WMH−) or WMH (cut‐off for log‐transformed WMH volume at 50th percentile; N−WMH+) manifested increased plasma NfL levels. Participants with both pathologies (N+WMH+) showed the highest NfL compared to N+WMH−, N−WMH+, and N−WMH− individuals. Discussion Plasma NfL has potential utility in stratifying individual and combined contributions of AD pathology and CSVD to cognitive impairment.
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Affiliation(s)
- Joyce R. Chong
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
| | - Saima Hilal
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
- Saw Swee Hock School of Public HealthNational University of Singapore and National University Health SystemKent RidgeSingapore
| | - Nicholas J. Ashton
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Wallenberg Centre for Molecular and Translational MedicineUniversity of GothenburgGothenburgSweden
- King's College LondonInstitute of PsychiatryPsychology and NeuroscienceMaurice Wohl Institute Clinical Neuroscience InstituteLondonUK
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS FoundationLondonUK
| | - Thomas K. Karikari
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Anthonin Reilhac
- Clinical Imaging Research CentreYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
| | - Henri Vrooman
- Department of Radiology and Nuclear MedicineErasmus Medical CenterRotterdamthe Netherlands
| | - Michael Schöll
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Wallenberg Centre for Molecular and Translational MedicineUniversity of GothenburgGothenburgSweden
- Department of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Department of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
- UK Dementia Research Institute at UCLLondonUK
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalGothenburgSweden
- Hong Kong Center for Neurodegenerative Diseasesthe Hong Kong University of Science and TechnologyHong Kong Science ParkShatinNew TerritoriesHong Kong SARChina
| | - Kaj Blennow
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalGothenburgSweden
| | - Christopher P. Chen
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
- Department of Psychological MedicineYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
| | - Mitchell K. P. Lai
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
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17
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Li J, Zhang P, Zhu Y, Duan Y, Liu S, Fan J, Chen H, Wang C, Yi X. Serum neurofilament light chain levels are associated with early neurological deterioration in minor ischemic stroke. Front Neurol 2023; 14:1096358. [PMID: 36970517 PMCID: PMC10034185 DOI: 10.3389/fneur.2023.1096358] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 02/16/2023] [Indexed: 03/11/2023] Open
Abstract
ObjectivesPatients with minor ischemic stroke (MIS) frequently suffer from early neurological deterioration (END) and become disabled. Our study aimed to explore the association between serum neurofilament light chain (sNfL) levels and END in patients with MIS.MethodsWe conducted a prospective observational study in patients with MIS [defined as a National Institutes of Health Stroke Scale (NIHSS) score 0–3] admitted within 24 h from the onset of symptoms. sNfL levels were measured at admission. The primary outcome was END, defined as an increase in the NIHSS score by ≥2 points within 5 days after admission. Univariate and multivariate analyses were performed to explore the risk factors associated with END. Stratified analyses and interaction tests were conducted to identify variables that might modify the association between sNfL levels and END.ResultsA total of 152 patients with MIS were enrolled, of which 24 (15.8%) developed END. The median sNfL level was 63.1 [interquartile range (IQR), 51.2–83.4] pg/ml on admission, which was significantly higher than that of 40 age- and sex-matched healthy controls (median 47.6, IQR 40.8–56.1 pg/ml; p < 0.001). Patients with MIS with END had a higher level of sNfL (with ND: median 74.1, IQR 59.5–89.8 pg/ml; without END: median 61.2, IQR 50.5–82.2 pg/ml; p = 0.026). After adjusting for age, baseline NIHSS score, and potential confounding factors in multivariate analyses, an elevated sNfL level (per 10 pg/mL) was associated with an increased risk of END [odds ratio (OR) 1.35, 95% confidence interval (CI) 1.04–1.77; p = 0.027). Stratified analyses and interaction tests demonstrated that the association between sNfL and END did not change by age group, sex, baseline NIHSS score, Fazekas' rating scale, hypertension, diabetes mellitus, intravenous thrombolysis, and dual antiplatelet therapy in patients with MIS (all p for interaction > 0.05). END was associated with an increased risk of unfavorable outcomes (modified Rankin scale score ranging from 3 to 6) at 3 months.ConclusionEarly neurological deterioration is common in minor ischemic stroke and is associated with poor prognosis. The elevated sNfL level was associated with an increased risk of early neurological deterioration in patients with minor ischemic stroke. sNfL might be a promising biomarker candidate that can help to identify patients with minor ischemic stroke at high risk of neurological deterioration, for reaching individual therapeutic decisions in clinical practice.
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Affiliation(s)
- Jie Li
- Department of Neurology, Deyang People's Hospital, Deyang, China
- *Correspondence: Jie Li
| | - Ping Zhang
- Department of Neurology, Deyang People's Hospital, Deyang, China
| | - Yalan Zhu
- Department of Neurology, Guanghan People's Hospital, Deyang, China
| | - Yong Duan
- Department of Neurology, Zhongjiang People's Hospital, Deyang, China
| | - Shan Liu
- Department of Neurology, Deyang Jingyang District Hospital of Traditional Chinese Medicine, Deyang, China
| | - Jie Fan
- Department of Neurology, Deyang Hospital of Integrated Traditional Chinese and Western Medicine, Deyang, China
| | - Hong Chen
- Department of Neurology, Deyang People's Hospital, Deyang, China
| | - Chun Wang
- Department of Neurology, Deyang People's Hospital, Deyang, China
| | - Xingyang Yi
- Department of Neurology, Deyang People's Hospital, Deyang, China
- Xingyang Yi
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18
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Kowalski RG, Ledreux A, Violette JE, Neumann RT, Ornelas D, Yu X, Griffiths SG, Lewis S, Nash P, Monte AA, Coughlan CM, Deighan C, Grotta JC, Jones WJ, Graner MW. Rapid Activation of Neuroinflammation in Stroke: Plasma and Extracellular Vesicles Obtained on a Mobile Stroke Unit. Stroke 2023; 54:e52-e57. [PMID: 36727508 PMCID: PMC10052772 DOI: 10.1161/strokeaha.122.041422] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 12/16/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND Neuroinflammation is ubiquitous in acute stroke and worsens outcome. However, the precise timing of the inflammatory response is unknown, hindering the design of acute anti-inflammatory therapeutic interventions. We sought to identify the onset of the neuroinflammatory cascade using a mobile stroke unit. METHODS The study is a proof-of-concept, cohort investigation of ultra-early blood- and extracellular vesicle-derived markers of neuroinflammation and outcome in acute stroke. Blood was obtained, prehospital, on an mobile stroke unit. Outcomes were biomarker concentrations, modified Rankin Scale score, and National Institutes of Health Stroke Scale score. RESULTS Forty-one adults were analyzed, including 15 patients treated on the mobile stroke unit between August 2021 and April 2022, and 26 healthy controls to establish biomarker reference levels. Median patient age was 74 (range, 36-97) years, 60% were female, and 80% White. Ten (67%) were diagnosed as stroke, with 8 (53%) confirmed and 2 likely transient ischemic attack or stroke averted by thrombolysis; 5 were stroke mimics. For strokes, median initial National Institutes of Health Stroke Scale score was 11 (range, 4-19) and 6 (75%) received tPA (tissue-type plasminogen activator). Blood was obtained a median of 58 (range, 36-133) minutes after symptom onset. Within 36 minutes after stroke, plasma IL-6 (interleukin-6), neurofilament light chain, UCH-L1 (ubiquitin C-terminal hydrolase L1), and GFAP (glial fibrillary acidic protein) were elevated by as much as 10 times normal. In EVs, MMP-9 (matrix metalloproteinase-9), CXCL4 (chemokine (C-X-C motif) ligand 4), CRP (C-reactive protein), IL-6, OPN (osteopontin), and PECAM1 (platelet and endothelial cell adhesion molecule 1) were elevated. Inflammatory markers increased rapidly in the first 2 hours and continued rising for 24 hours. CONCLUSIONS The neuroinflammatory cascade was found to be activated within 36 to 133 minutes after stroke and progresses rapidly. This is earlier than observed previously in humans and suggests injury from neuroinflammation occurs faster than had been surmised. These findings could inform development of acute immunomodulatory stroke therapies and lead to new diagnostic tools and improved outcomes.
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Affiliation(s)
- Robert G Kowalski
- Department of Neurosurgery (R.G.K., A.L., R.T.N., X.Y., M.W.G.)
- Department of Neurology (RGK, CMC, WJJ)
| | - Aurélie Ledreux
- Department of Neurosurgery (R.G.K., A.L., R.T.N., X.Y., M.W.G.)
| | - John E Violette
- UCHealth, University of Colorado Hospital, Aurora (J.E.V., D.O.)
| | | | - David Ornelas
- UCHealth, University of Colorado Hospital, Aurora (J.E.V., D.O.)
| | - Xiaoli Yu
- Department of Neurosurgery (R.G.K., A.L., R.T.N., X.Y., M.W.G.)
| | | | | | | | - Andrew A Monte
- Department of Emergency Medicine (A.A.M.)
- University of Colorado School of Medicine, Aurora (A.A.M.)
| | | | | | - James C Grotta
- Memorial Hermann Hospital-Texas Medical Center, Houston (J.C.G.)
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Amrein M, Meier S, Schäfer I, Schaedelin S, Willemse E, Benkert P, Walter J, Puelacher C, Zimmermann T, Median D, Egli C, Leppert D, Twerenbold R, Zellweger M, Kuhle J, Mueller C. Serum neurofilament light chain in functionally relevant coronary artery disease and adverse cardiovascular outcomes. Biomarkers 2023; 28:341-351. [PMID: 36714921 DOI: 10.1080/1354750x.2023.2172211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Background: Functionally relevant coronary artery disease (fCAD), causing symptoms of myocardial ischemia, can currently only be reliably detected with advanced cardiac imaging. Serum neurofilament light chain (sNfL) is a biomarker for neuro-axonal injury known to be elevated by cardiovascular (CV) risk factors and cerebrovascular small-vessel diseases. Due to their pathophysiological similarities with fCAD and the link to CV risk factors, we hypothesised that sNfL may have diagnostic and prognostic value for fCAD and adverse cardiovascular outcomes.Methods: Of the large prospective Basel VIII study (NCT01838148), 4'016 consecutive patients undergoing cardiac work-up for suspected fCAD were included (median age 68 years, 32.5% women, 46.9% with history of CAD). The presence of fCAD was adjudicated using myocardial perfusion imaging single-photon emission tomography (MPI-SPECT) and coronary angiography. sNfL was measured using a high-sensitive single-molecule array assay. All-cause and cardiovascular death, myocardial infarction (MI), and stroke/transient ischaemic attack (TIA) during 5-year follow-up were the prognostic endpoints.Results: The diagnostic accuracy of sNfL for fCAD as quantified by the area under the curve (AUC) was low (0.58, 95%CI 0.56-0.60). sNfL was strongly associated with age, renal dysfunction, and body mass index and was a strong and independent predictor of all-cause death, cardiovascular death, and stroke/TIA but not MI. Time-dependent AUC for cardiovascular-death at 1-year was 0.85, 95%CI 0.80-0.89, and 0.81, 95%CI 0.77-0.86 at 2-years.Conclusion: While sNfL concentrations did not show a diagnostic role for fCAD, in contrast, sNfL was a strong and independent predictor of cardiovascular outcomes, including all-cause death, cardiovascular death and stroke/TIA.
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Affiliation(s)
- Melissa Amrein
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Stephanie Meier
- Multiple Sclerosis Centre, Neurology, Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland.,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
| | - Ibrahim Schäfer
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Sabine Schaedelin
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
| | - Eline Willemse
- Multiple Sclerosis Centre, Neurology, Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland.,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
| | - Pascal Benkert
- Clinical Trial Unit, Department of Clinical Research, University Hospital Basel, Basel, Switzerland
| | - Joan Walter
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Christian Puelacher
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Tobias Zimmermann
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Daniela Median
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Caroline Egli
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - David Leppert
- Multiple Sclerosis Centre, Neurology, Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland.,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
| | - Raphael Twerenbold
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.,University Center of Cardiovascular Science & Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany
| | - Michael Zellweger
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Multiple Sclerosis Centre, Neurology, Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland.,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
| | - Christian Mueller
- Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland
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20
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Perna L, Mons U, Stocker H, Beyer L, Beyreuther K, Trares K, Holleczek B, Schöttker B, Perneczky R, Gerwert K, Brenner H. High cholesterol levels change the association of biomarkers of neurodegenerative diseases with dementia risk: Findings from a population-based cohort. Alzheimers Dement 2023. [PMID: 36638231 DOI: 10.1002/alz.12933] [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: 08/17/2022] [Revised: 11/23/2022] [Accepted: 12/19/2022] [Indexed: 01/15/2023]
Abstract
INTRODUCTION This study assessed whether in a population with comorbidity of neurodegenerative and cerebrovascular disease (mixed pathology) the association of glial fibrillary acidic protein (GFAP), neurofilament light chain (NfL), and phosphorylated tau181 (p-tau181) with dementia risk varied depending on levels of total cholesterol and apolipoprotein E (APOE) ε4 genotype. METHODS Plasma biomarkers were measured using Simoa technology in 768 participants of a nested case-control study embedded within an ongoing population-based cohort. Logistic and spline regression models, and receiver operating characteristic curves were calculated. RESULTS The strength of the association between GFAP and NfL with risk of a clinical diagnosis of dementia changed depending on cholesterol levels and on APOE ε4 genotype. No significant association was seen with p-tau181. DISCUSSION In individuals with mixed pathology blood GFAP and NfL are better predictors of dementia risk than p-tau181, and their associations with dementia risk are amplified by hypercholesterolemia, also depending on APOE ε4 genotype. HIGHLIGHTS Cholesterol levels changed the association of blood biomarkers with dementia risk. Blood biomarkers seem to perform differently in community- and clinic-based cohorts. Neurofilament light chain might be a biomarker candidate for dementia risk after stroke.
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Affiliation(s)
- Laura Perna
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.,Division of Mental Health of Older Adults, Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany
| | - Ute Mons
- Department of Cardiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Hannah Stocker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Network Aging Research (NAR), Heidelberg University, Heidelberg, Germany
| | - Léon Beyer
- Faculty of Biology and Biotechnology, Department of Biophysics, Ruhr-University Bochum, Bochum, Germany.,Center for Protein Diagnostics (ProDi), Ruhr-University Bochum, Bochum, Germany
| | - Konrad Beyreuther
- Network Aging Research (NAR), Heidelberg University, Heidelberg, Germany
| | - Kira Trares
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Network Aging Research (NAR), Heidelberg University, Heidelberg, Germany.,Medical Faculty, Heidelberg University, Heidelberg, Germany
| | | | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Network Aging Research (NAR), Heidelberg University, Heidelberg, Germany
| | - Robert Perneczky
- Division of Mental Health of Older Adults, Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany.,Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,Sheffield Institute for Translational Neurology (SITraN), University of Sheffield, Sheffield, UK
| | - Klaus Gerwert
- Faculty of Biology and Biotechnology, Department of Biophysics, Ruhr-University Bochum, Bochum, Germany.,Center for Protein Diagnostics (ProDi), Ruhr-University Bochum, Bochum, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Network Aging Research (NAR), Heidelberg University, Heidelberg, Germany
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Engel S, Halcour J, Ellwardt E, Uphaus T, Steffen F, Zipp F, Bittner S, Luessi F. Elevated neurofilament light chain CSF/serum ratio indicates impaired CSF outflow in idiopathic intracranial hypertension. Fluids Barriers CNS 2023; 20:3. [PMID: 36631830 PMCID: PMC9832777 DOI: 10.1186/s12987-022-00403-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 12/17/2022] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Impaired cerebrospinal fluid (CSF) homeostasis is central to the pathogenesis of idiopathic intracranial hypertension (IIH), although the precise mechanisms involved are still not completely understood. The aim of the current study was to assess the CSF/serum ratio of neurofilament light chain levels (QNfL) as a potential indicator of functional CSF outflow obstruction in IIH patients. METHODS NfL levels were measured by single molecule array in CSF and serum samples of 87 IIH patients and in three control groups, consisting of 52 multiple sclerosis (MS) patients with an acute relapse, 21 patients with an axonal polyneuropathy (PNP), and 41 neurologically healthy controls (HC). QNfL was calculated as the ratio of CSF and serum NfL levels. Similarly, we also assessed the CSF/serum ratio of glial fibrillary acidic protein (QGFAP) levels to validate the QNfL data. Routine CSF parameters including the CSF/serum albumin ratio (QAlb) were determined in all groups. Lumbar puncture opening pressure of IIH patients was measured by manometry. RESULTS CSF-NfL levels (r = 0.29, p = 0.008) and QNfL (0.40, p = 0.0009), but not serum NfL (S-NfL) levels, were associated with lumbar puncture opening pressure in IIH patients. CSF-NfL levels were increased in IIH patients, MS patients, and PNP patients, whereas sNfL levels were normal in IIH, but elevated in MS and PNP. Remarkably, QNfL (p < 0.0001) as well as QGFAP (p < 0.01) were only increased in IIH patients. QNfL was positively correlated with CSF-NfL levels (r = 0.51, p = 0.0012) and negatively correlated with S-NfL levels (r = - 0.51, p = 0.0012) in HC, while it was only positively associated with CSF-NfL levels in IIH patients (r = 0.71, p < 0.0001). An increase in blood-CSF barrier permeability assessed by QAlb did not lead to a decrease in QNfL in any cohort. CONCLUSIONS The observed elevation of QNfL in IIH patients, which was associated with lumbar puncture opening pressure, indicates a reduced NfL transition from the CSF to serum compartment. This supports the hypothesis of a pressure-dependent CSF outflow obstruction to be critically involved in IIH pathogenesis.
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Affiliation(s)
- Sinah Engel
- grid.410607.4Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (Rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany
| | - Johannes Halcour
- grid.410607.4Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (Rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany
| | - Erik Ellwardt
- grid.410607.4Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (Rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany
| | - Timo Uphaus
- grid.410607.4Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (Rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany
| | - Falk Steffen
- grid.410607.4Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (Rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany
| | - Frauke Zipp
- grid.410607.4Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (Rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany
| | - Stefan Bittner
- grid.410607.4Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (Rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany
| | - Felix Luessi
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (Rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, 55131, Mainz, Germany.
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22
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Rattanawong W, Ongphichetmetha T, Hemachudha T, Thanapornsangsuth P. Neurofilament light is associated with clinical outcome and hemorrhagic transformation in moderate to severe ischemic stroke. J Cent Nerv Syst Dis 2023; 15:11795735221147212. [PMID: 36632518 PMCID: PMC9827527 DOI: 10.1177/11795735221147212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 09/22/2022] [Accepted: 12/06/2022] [Indexed: 01/05/2023] Open
Abstract
Background Ischemic stroke is a leading cause of morbidity and mortality worldwide. One possible predictor is the use of biomarkers especially neurofilament light chain (NFL). Objectives To explore whether NFL could predict clinical outcome and hemorrhagic transformation in moderate to severe stroke. Design Single center prospective cohort study. Methods Fifty-one moderate to severe ischemic stroke patients were recruited. Blood NFL was obtained from patients at admission (First sample) and 24-96 hours later (Second sample). NFL was analyzed with the ultrasensitive single molecule array (Simoa). Later, we calculated incremental rate NFL (IRN) by changes in NFL per day from baseline. We evaluated National Institute of Health stroke scale (NIHSS), modified Rankins score (mRs), and the presence of hemorrhagic transformation (HT). Results IRN was found to be higher in patients with unfavorable outcome (7.12 vs 24.07, P = .04) as well as Second sample (49.06 vs 71.41, P = .011), while NFL First sample was not significant. IRN had a great correlation with mRS (r = .552, P < .001). Univariate logistic regression model showed OR of IRN and Second sample to be 1.081 (95% CI 1.016-1.149, P = .013) and 1.019 (1.002-1.037, P = .03), respectively. Multiple logistic regression model has shown to be significant. In receiver operating analysis, IRN, Second sample, combined IRN with NIHSS and combined Second sample with NIHSS showed AUC (.744, P = .004; 0.713, P = .01; 0.805, P < .001; 0.803, P < .001, respectively). For HT, First sample and Second sample had significant difference with HT (Z = 2.13, P = .033; Z = 2.487, P = .013, respectively). Conclusion NFL was found to correlate and predict clinical outcome. In addition, it was found to correlate with HT.
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Affiliation(s)
- Wanakorn Rattanawong
- Department of Medicine, Faculty of
Medicine, King Mongkut’s Institute of
Technology Ladkrabang, Bangkok, Thailand,Division of Neurology, Department
of Medicine, Faculty of Medicine, Chulalongkorn
University, Bangkok, Thailand
| | - Tatchaporn Ongphichetmetha
- Division of Neurology, Department
of Medicine, Faculty of Medicine, Chulalongkorn
University, Bangkok, Thailand
| | - Thiravat Hemachudha
- Division of Neurology, Department
of Medicine, Faculty of Medicine, Chulalongkorn
University, Bangkok, Thailand,Thai Red Cross Emerging Infectious
Diseases Health Science Centre, World Health Organization Collaborating Centre
for Research and Training on Viral Zoonoses, King Chulalongkorn Memorial Hospital
The Thai Red Cross Society, Bangkok, Thailand
| | - Poosanu Thanapornsangsuth
- Division of Neurology, Department
of Medicine, Faculty of Medicine, Chulalongkorn
University, Bangkok, Thailand,Thai Red Cross Emerging Infectious
Diseases Health Science Centre, World Health Organization Collaborating Centre
for Research and Training on Viral Zoonoses, King Chulalongkorn Memorial Hospital
The Thai Red Cross Society, Bangkok, Thailand,Poosanu Thanapornsangsuth MD, Thai Red
Cross Emerging Infectious Diseases Health Science Centre, World Health
Organization Collaborating Centre for Research and Training on Viral Zoonoses,
King Chulalongkorn Memorial Hospital The Thai Red Cross Society, 9th Floor, Aor
Por Ror Building, 1873 Rama IV Road, Pathumwan, Bangkok, Thailand 10330. E-mail:
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23
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Association of admission serum levels of neurofilament light chain and in-hospital mortality in geriatric patients with COVID-19. J Neurol 2023; 270:37-43. [PMID: 36114298 PMCID: PMC9483416 DOI: 10.1007/s00415-022-11373-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 09/01/2022] [Accepted: 09/06/2022] [Indexed: 01/07/2023]
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24
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Steffen F, Uphaus T, Ripfel N, Fleischer V, Schraad M, Gonzalez-Escamilla G, Engel S, Groppa S, Zipp F, Bittner S. Serum Neurofilament Identifies Patients With Multiple Sclerosis With Severe Focal Axonal Damage in a 6-Year Longitudinal Cohort. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2022; 10:10/1/e200055. [PMID: 36411080 PMCID: PMC9679887 DOI: 10.1212/nxi.0000000000200055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 09/16/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND AND OBJECTIVES Immunomodulatory therapies reduce the relapse rate but only marginally control disability progression in patients with MS. Although serum neurofilament light chain (sNfL) levels correlate best with acute signs of inflammation (e.g., relapses and gadolinium-enhancing [Gd+] lesions), their role in predicting progressive biology and irreversible axonal damage is less clear. We aimed to determine the ability of sNfL to dissect distinct measures of disease severity and predict future (no) evidence of disease activity (EDA/no evidence of disease activity [NEDA]). METHODS One hundred fifty-three of 221 patients with relapsing-remitting MS initially enrolled in the Neurofilament and longterm outcome in MS cohort at the MS outpatient clinic of the University Medical Center Mainz (Germany) met the inclusion criteria for this prospective observational cohort study with a median follow-up of 6 years (interquartile range 4-7 years). Progressive disease forms were excluded. Inclusion criteria consisted of Expanded Disability Status Scale (EDSS) assessment within 3 months and MRI within 12 months around blood sampling at baseline (y0) and follow-up (y6). EDSS progression at y6 had to be confirmed 12 weeks later. sNfL was measured by single-molecule array, and the following additional variables were recorded: therapy, medical history, and detailed MRI parameters (T2 hyperintense lesions, Gd+ lesions, and new persistent T1 hypointense lesions). RESULTS Patients experiencing EDSS progression or new persistent T1 lesions at y6 showed increased sNfL levels at y0 compared with stable patients or patients with inflammatory activity only. As a potential readily accessible marker of neurodegeneration, we incorporated the absence of persistent T1 lesions to the NEDA-3 concept (NEDA-3T1: n = 54, 35.3%; EDAT1: n = 99, 64.7%) and then evaluated a risk score with factors that distinguish patients with and without NEDA-3T1 status. Adding sNfL to this risk score significantly improved NEDA-3T1 prediction (0.697 95% CI 0.616-0.770 vs 0.819 95% CI 0.747-0.878, p < 0.001). Patients with sNfL values ≤8.6 pg/mL showed a 76% risk reduction for EDAT1 at y6 (hazard ratio 0.244, 95% CI 0.142-0.419, p < 0.001). DISCUSSION sNfL levels associate with severe focal axonal damage as reflected by development of persistent T1 lesions. Baseline sNfL values predicted NEDA-3T1 status at 6-year follow-up.
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Affiliation(s)
- Falk Steffen
- From the Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Timo Uphaus
- From the Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Nina Ripfel
- From the Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Vinzenz Fleischer
- From the Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Muriel Schraad
- From the Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Gabriel Gonzalez-Escamilla
- From the Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Sinah Engel
- From the Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Sergiu Groppa
- From the Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Frauke Zipp
- From the Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Stefan Bittner
- From the Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
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25
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Skvortsov V, Ivanova Y, Voronina A. Acetylation, methylation, and ubiquitination of proteins in experimental ischemic stroke in mice: a bioinformatics analysis. BIOMEDITSINSKAYA KHIMIYA 2022; 68:390-397. [DOI: 10.18097/pbmc20226805390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The experimental results available in the ProteomeXchange database (accession code PXD016538) (Simats et al. (2020) Molecular and Cellular Proteomics, 19(12), 1921-1936) obtained using a comprehensive multi-omics approach were analyzed in mouse blood to identify potential biomarkers of ischemic stroke. Acetylation, methylation, and ubiquitination were considered as post-translational modifications. The analysis of the significance of changes in the level of protein modification was evaluated for ischemic tissue in comparison with tissue undamaged by stroke and control taken from mice after sham operation. At the level of statistically significant differences according to the Mann-Whitney test (p < 0.05), 2 proteins were found (Q02248 and Q8BL66); for additional 7 proteins, the differences were at the level of a statistical trend (p < 0.1). For 7 of 9 selected proteins there are reports in the literature, for their association with cerebral ischemia.
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Affiliation(s)
| | - Y.O. Ivanova
- Institute of Biomedical Chemistry, Moscow, Russia
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26
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Delaby C, Bousiges O, Bouvier D, Fillée C, Fourier A, Mondésert E, Nezry N, Omar S, Quadrio I, Rucheton B, Schraen-Maschke S, van Pesch V, Vicca S, Lehmann S, Bedel A. Neurofilaments contribution in clinic: state of the art. Front Aging Neurosci 2022; 14:1034684. [PMID: 36389064 PMCID: PMC9664201 DOI: 10.3389/fnagi.2022.1034684] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 10/10/2022] [Indexed: 07/26/2023] Open
Abstract
Neurological biomarkers are particularly valuable to clinicians as they can be used for diagnosis, prognosis, or response to treatment. This field of neurology has evolved considerably in recent years with the improvement of analytical methods, allowing the detection of biomarkers not only in cerebrospinal fluid (CSF) but also in less invasive fluids like blood. These advances greatly facilitate the repeated quantification of biomarkers, including at asymptomatic stages of the disease. Among the various informative biomarkers of neurological disorders, neurofilaments (NfL) have proven to be of particular interest in many contexts, such as neurodegenerative diseases, traumatic brain injury, multiple sclerosis, stroke, and cancer. Here we discuss these different pathologies and the potential value of NfL assay in the management of these patients, both for diagnosis and prognosis. We also describe the added value of NfL compared to other biomarkers currently used to monitor the diseases described in this review.
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Affiliation(s)
- Constance Delaby
- Université de Montpellier, IRMB, INM, INSERM, CHU de Montpellier, Laboratoire Biochimie-Protéomique clinique, Montpellier, France
- Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau—Biomedical Research Institute Sant Pau—Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Olivier Bousiges
- Laboratoire de biochimie et biologie moléculaire (LBBM)—Pôle de biologie Hôpital de Hautepierre—CHU de Strasbourg, CNRS, laboratoire ICube UMR 7357 et FMTS (Fédération de Médecine Translationnelle de Strasbourg), équipe IMIS, Strasbourg, France
| | - Damien Bouvier
- Service de Biochimie et Génétique Moléculaire, CHU de Clermont-Ferrand, Clermont-Ferrand, France
| | - Catherine Fillée
- Cliniques universitaires Saint-Luc UCLouvain, Service de Biochimie Médicale, Brussels, Belgium
| | - Anthony Fourier
- Biochimie et Biologie Moléculaire—LBMMS, Unité de diagnostic des pathologies dégénératives, Centre de Biologie et Pathologie Est, Groupement Hospitalier Est, Lyon, France
| | - Etienne Mondésert
- Université de Montpellier, IRMB, INM, INSERM, CHU de Montpellier, Laboratoire Biochimie-Protéomique clinique, Montpellier, France
| | - Nicolas Nezry
- Univ. Lille, Inserm, CHU Lille, UMR-S-U1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France
| | - Souheil Omar
- Laboratoire de biologie médicale de l’Institut de Neurologie de Tunis, Tunis, Tunisia
| | - Isabelle Quadrio
- Biochimie et Biologie Moléculaire—LBMMS, Unité de diagnostic des pathologies dégénératives, Centre de Biologie et Pathologie Est, Groupement Hospitalier Est, Lyon, France
| | - Benoit Rucheton
- Laboratoire de Biologie, Institut Bergonié, Bordeaux, France
| | - Susanna Schraen-Maschke
- Univ. Lille, Inserm, CHU Lille, UMR-S-U1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France
| | - Vincent van Pesch
- Cliniques universitaires Saint-Luc UCLouvain, Service de Neurologie, Brussels, Belgium
| | - Stéphanie Vicca
- Hôpital Necker-Enfants malades, Paris, Laboratoire de Biochimie générale, DMU BioPhyGen, AP-HP.Centre—Université de Paris, Paris, France
| | - Sylvain Lehmann
- Université de Montpellier, IRMB, INM, INSERM, CHU de Montpellier, Laboratoire Biochimie-Protéomique clinique, Montpellier, France
| | - Aurelie Bedel
- Service de Biochimie, CHU Pellegrin, Bordeaux, France
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27
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Wang Z, Wang S, Li Y, Wang R, Jiang L, Zheng B, Zhang Y, Wang Q, Wang J. Biomarker of early neurological deterioration in minor stroke and proximal large vessel occlusion: A pilot study. Front Neurol 2022; 13:1019530. [PMID: 36388185 PMCID: PMC9642090 DOI: 10.3389/fneur.2022.1019530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 10/05/2022] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Plasma neurofilament light chain (pNFL) represents one of the scaffolding proteins of central nervous system axonal injury. The aim of this study was to evaluate pNFL as a predictive biomarker for early neurological deterioration (END) in medically managed patients with large vessel occlusion (LVO) and mild presentation (NIHSS < 6). METHODS This retrospective study was developed from a prospectively collected stroke database, which was conducted at a large academic comprehensive stroke center in western China. Patients who first presented with acute ischemic stroke (AIS) within 24 h of symptom onset were continuously included. Stroke severity was analyzed at admission using the NIHSS score. The pNFL drawn on admission was analyzed with a novel ultrasensitive single-molecule array. RESULTS Thirty-nine consecutive patients were included in the analysis, and 19 (48.72%) patients experienced END. Patients who experienced END had significantly higher pNFL levels (mean, 65.20 vs. 48.28 pg/mL; P < 0.001) and larger infarct volume (mean, 15.46 vs. 9.56 mL; P < 0.001). pNFL was valuable for the prediction of END (OR, 1.170; 95% CI, 1.049-1.306; P = 0.005), even after adjusted for age and sex (OR, 1.178; 95% CI, 1.038-1.323; P = 0.006), blood sampling time, baseline NIHSS, TOAST classification, and infarct volume (OR, 1.168; 95% CI, 1.034-1.320; P = 0.012). The area under the ROC curve was 85.0% (95% CI, 0.731-0.970; P < 0.001). The sensitivity was 73.7%, and the specificity was 80%. CONCLUSION END in minor stroke with LVO was distinguishable from those without END following the determination of pNFL in the blood samples within 24 h of onset. The pNFL is a promising biomarker of END in minor stroke with LVO. CLINICAL TRIAL REGISTRATION ChiCTR1800020330.
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Affiliation(s)
- Zhiqiang Wang
- Department of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China,Department of Neurology, Chengdu BOE Hospital, Chengdu, China
| | - Shuai Wang
- Department of Outpatient, The General Hospital of Western Theater Command, Chengdu, China
| | - Yuxia Li
- Department of Neurology, Chengdu BOE Hospital, Chengdu, China
| | - Rongyu Wang
- Department of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Lianyan Jiang
- Department of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Bo Zheng
- Department of Neurology, Ya'an People's Hospital, Ya'an, China
| | - Yaodan Zhang
- Department of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Qingsong Wang
- Department of Neurology, The General Hospital of Western Theater Command, Chengdu, China
| | - Jian Wang
- Department of Neurology, Ya'an People's Hospital, Ya'an, China,*Correspondence: Jian Wang
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Ahn JW, Hwang J, Lee M, Kim JH, Cho HJ, Lee HW, Eun MY. Serum neurofilament light chain levels are correlated with the infarct volume in patients with acute ischemic stroke. Medicine (Baltimore) 2022; 101:e30849. [PMID: 36181119 PMCID: PMC9524991 DOI: 10.1097/md.0000000000030849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Neurofilament light chains (NfLs) are promising biomarkers of neuroaxonal damage in stroke patients. We investigated the correlations between NfL levels and infarct volume, initial stroke severity, and functional outcomes at discharge in patients with acute ischemic stroke. We prospectively included 15 patients with first-ever acute ischemic stroke and 8 age- and sex-matched healthy controls without other neurological disorders. Serum NfL levels were measured using the single-molecule array (Simoa) technique twice within 24 hours of admission (NfL1D) and on the seventh hospital day (NfL7D) in patients with stroke and once in healthy controls. We assessed the infarct volume on diffusion-weighted magnetic resonance imaging using the free software ITK-SNAP. Serum NfL1D levels in stroke patients were significantly higher (28.4 pg/mL; interquartile range [IQR], 43.0) than in healthy controls (14.5 pg/mL; IQR, 3.2; P = .005). Temporal pattern analyses demonstrated that NfL7D levels were increased (114.0 pg/mL; IQR, 109.6) compared to NfL1D levels in all stroke patients (P = .001). There was a strong correlation between NfL7D levels and infarct volume (R = 0.67, P = .007). The difference between NfL1D and NfL7D (NfLdiff levels) was strongly correlated with the infarct volume (R = 0.63; P = .013). However, there was no statistically significant correlation between NfL levels and the initial stroke severity or functional outcomes at discharge. NfL levels in the subacute stage of stroke and the NfL difference between admission and 7th day of hospital were correlated with infarct volume in patients with acute ischemic stroke.
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Affiliation(s)
- June Woo Ahn
- Department of Neurology, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Jaechun Hwang
- Department of Neurology, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Myunghoon Lee
- Research Center, D&P Biotech, Inc., Daegu, South Korea
| | - Jae Hyoung Kim
- Department of Neurology, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Hee-Jin Cho
- Department of Neurology, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Ho-Won Lee
- Department of Neurology, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea
- Brain Science and Engineering Institute, Kyungpook National University, Daegu, South Korea
| | - Mi-Yeon Eun
- Department of Neurology, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea
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29
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Ning L, Wang B. Neurofilament light chain in blood as a diagnostic and predictive biomarker for multiple sclerosis: A systematic review and meta-analysis. PLoS One 2022; 17:e0274565. [PMID: 36103562 PMCID: PMC9473405 DOI: 10.1371/journal.pone.0274565] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Accepted: 08/30/2022] [Indexed: 11/18/2022] Open
Abstract
Background
Neurofilament light chain (NfL) in cerebrospinal fluid (CSF) is a biomarker of multiple sclerosis (MS). However, CSF sampling is invasive and has limited the clinical application. With the development of highly sensitive single-molecule assay, the accurate quantification of the very low NfL levels in blood become feasible. As evidence being accumulated, we performed a meta-analysis to evaluate the diagnostic and predictive value of blood NfL in MS patients.
Methods
We performed literature search on PubMed, EMBASE, Web of Science and Cochrane Library from inception to May 31, 2022. The blood NfL differences between MS vs. controls, MS vs. clinically isolated syndrome (CIS), progressive MS (PMS) vs. relapsing-remitting MS (RRMS), and MS in relapse vs. MS in remission were estimated by standard mean difference (SMD) and corresponding 95% confidence interval (CI). Pooled hazard ratio (HR) and 95%CI were calculated to predict time to reach Expanded Disability Status Scale (EDSS) score≥4.0 and to relapse.
Results
A total of 28 studies comprising 6545 MS patients and 2477 controls were eligible for meta-analysis of diagnosis value, and 5 studies with 4444 patients were synthesized in analysis of predictive value. Blood NfL levels were significantly higher in MS patients vs. age-matched controls (SMD = 0.64, 95%CI 0.44–0.85, P<0.001), vs. non-matched controls (SMD = 0.76, 95%CI 0.56–0.96, P<0.001) and vs. CIS patients (SMD = 0.30, 95%CI 0.18–0.42, P<0.001), in PMS vs. RRMS (SMD = 0.56, 95%CI 0.27–0.85, P<0.001), and in relapsed patients vs. remitted patients (SMD = 0.54, 95%CI 0.16–0.92, P = 0.005). Patients with high blood NfL levels had shorter time to reach EDSS score≥4.0 (HR = 2.36, 95%CI 1.32–4.21, P = 0.004) but similar time to relapse (HR = 1.32, 95%CI 0.90–1.93, P = 0.155) compared to those with low NfL levels.
Conclusion
As far as we know, this is the first meta-analysis evaluating the diagnosis and predictive value of blood NfL in MS. The present study indicates blood NfL may be a useful biomarker in diagnosing MS, distinguishing MS subtypes and predicting disease worsening in the future.
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Affiliation(s)
- Liangxia Ning
- Department of Neurology, Yuncheng Central Hospital, The Eighth Shanxi Medical University, Yuncheng, China
| | - Bin Wang
- Department of Neurology, Yuncheng Central Hospital, The Eighth Shanxi Medical University, Yuncheng, China
- * E-mail:
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Mak G, Menon S, Lu JQ. Neurofilaments in neurologic disorders and beyond. J Neurol Sci 2022; 441:120380. [PMID: 36027641 DOI: 10.1016/j.jns.2022.120380] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 08/07/2022] [Accepted: 08/10/2022] [Indexed: 11/17/2022]
Abstract
Many neurologic diseases can initially present as a diagnostic challenge and even when a diagnosis is made, monitoring of disease activity, progression and response to therapy may be limited with existing clinical and paraclinical assessments. As such, the identification of disease specific biomarkers provides a promising avenue by which diseases can be effectively diagnosed, monitored and used as a prognostic indicator for long-term outcomes. Neurofilaments are an integral component of the neuronal cytoskeleton, where assessment of neurofilaments in the blood, cerebrospinal fluid (CSF) and diseased tissue has been shown to have value in providing diagnostic clarity, monitoring disease activity, tracking progression and treatment efficacy, as well as lending prognostic insight into long-term outcomes. As such, this review attempts to provide a glimpse into the structure and function of neurofilaments, their role in various neurologic and non-neurologic disorders, including uncommon conditions with recent knowledge of neurofilament-related pathology, as well as their applicability in future clinical practice.
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Affiliation(s)
- Gloria Mak
- McMaster University, Department of Medicine, Hamilton, Ontario, Canada
| | - Suresh Menon
- McMaster University, Department of Medicine, Hamilton, Ontario, Canada
| | - Jian-Qiang Lu
- McMaster University, Department of Pathology and Molecular Medicine, Hamilton, Ontario, Canada.
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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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Plasma Neurofilament Light Chain Is Associated with Cognitive Impairment after Posterior Circulation Stroke. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2022; 2022:2466982. [PMID: 35800005 PMCID: PMC9256396 DOI: 10.1155/2022/2466982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Accepted: 05/28/2022] [Indexed: 12/03/2022]
Abstract
Background Neurofilament light chain (NfL) is a biomarker for large-caliber axonal degeneration in the subcortex. The purpose of this research was to examine the relationship between plasma neurofilament light chain (pNfL) and cognitive impairment following a posterior circulation stroke. Methods Patients over the age of 18 with their first-ever acute ischemic stroke (AIS) of the posterior cerebral circulation within 24 h of symptom onset were included from July 1, 2017, to December 31, 2019. Blood samples were collected within 48 h after the stroke. The Montreal Cognitive Assessment (MOCA) (MOCA < 26) was adopted to define poststroke cognitive impairment (PSCI) 90 days after stroke onset. Results A total of 264 patients were analyzed in this research 101 (38.30%) patients were clinically diagnosed with PSCI. The PNfL concentration was significantly higher in the PSCI group compared with the non-PSCI group (p < 0.001). The pNfL concentration (OR 1.044; p < 0.001) remained to be a significant predictor for PSCI after a multivariable logistic regression analysis, even after adjusting for factors including age, sex, education background (OR 1.044; p < 0.001), baseline NIHSS, infarct volume, and TOAST classification (OR 1.035; p < 0.001). The diagnostic efficacy of pNfL concentration for PSCI was then explored with a ROC analysis. The optimum pNfL concentration threshold was 38.12 pg/ml, with a sensitivity of 78.20%, a specificity of 66.9%, and an AUC of 0.782 (p < 0.001). Conclusion This research showed that pNfL concentration, independent of established conventional risk factors, could predict the cognitive impairment in 90 days following posterior circulation stroke.
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Zhang X, Wang H, Li L, Deng X, Bo L. Neurofilament Light Chain: A Candidate Biomarker of Perioperative Stroke. Front Aging Neurosci 2022; 14:921809. [PMID: 35875791 PMCID: PMC9300966 DOI: 10.3389/fnagi.2022.921809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Accepted: 06/14/2022] [Indexed: 11/13/2022] Open
Abstract
Perioperative stroke is defined as a brain infarction of ischemic or hemorrhagic etiology that occurs during surgery or within 30 days after surgery. However, identifying perioperative stroke is challenging. Thus, the discovery and validation of neurological biomarkers for perioperative stroke are urgently needed. Neurofilament forms part of the neuronal cytoskeleton and is exclusively expressed in neurons. After disease-related neuroaxonal damage occurs, neurofilament light chain protein is released into the cerebrospinal fluid and blood. Blood neurofilament light chain has recently been shown to serve as a potential marker of interest during the perioperative period. Therefore, the aim of the present review was to give an overview of the current understanding and knowledge of neurofilament light chain as a potential biomarker of perioperative stroke.
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Affiliation(s)
- Xiaoting Zhang
- Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Huixian Wang
- Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Li Li
- Department of Anesthesiology, Affiliated Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Xiaoming Deng
- Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Lulong Bo
- Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai, China
- *Correspondence: Lulong Bo,
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Brummer T, Muthuraman M, Steffen F, Uphaus T, Minch L, Person M, Zipp F, Groppa S, Bittner S, Fleischer V. Improved prediction of early cognitive impairment in multiple sclerosis combining blood and imaging biomarkers. Brain Commun 2022; 4:fcac153. [PMID: 35813883 PMCID: PMC9263885 DOI: 10.1093/braincomms/fcac153] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 02/28/2022] [Accepted: 06/17/2022] [Indexed: 12/30/2022] Open
Abstract
Disability in multiple sclerosis is generally classified by sensory and motor symptoms, yet cognitive impairment has been identified as a frequent manifestation already in the early disease stages. Imaging- and more recently blood-based biomarkers have become increasingly important for understanding cognitive decline associated with multiple sclerosis. Thus, we sought to determine the prognostic utility of serum neurofilament light chain levels alone and in combination with MRI markers by examining their ability to predict cognitive impairment in early multiple sclerosis. A comprehensive and detailed assessment of 152 early multiple sclerosis patients (Expanded Disability Status Scale: 1.3 ± 1.2, mean age: 33.0 ± 10.0 years) was performed, which included serum neurofilament light chain measurement, MRI markers (i.e. T2-hyperintense lesion volume and grey matter volume) acquisition and completion of a set of cognitive tests (Symbol Digits Modalities Test, Paced Auditory Serial Addition Test, Verbal Learning and Memory Test) and mood questionnaires (Hospital Anxiety and Depression scale, Fatigue Scale for Motor and Cognitive Functions). Support vector regression, a branch of unsupervised machine learning, was applied to test serum neurofilament light chain and combination models of biomarkers for the prediction of neuropsychological test performance. The support vector regression results were validated in a replication cohort of 101 early multiple sclerosis patients (Expanded Disability Status Scale: 1.1 ± 1.2, mean age: 34.4 ± 10.6 years). Higher serum neurofilament light chain levels were associated with worse Symbol Digits Modalities Test scores after adjusting for age, sex Expanded Disability Status Scale, disease duration and disease-modifying therapy (B = −0.561; SE = 0.192; P = 0.004; 95% CI = −0.940 to −0.182). Besides this association, serum neurofilament light chain levels were not linked to any other cognitive or mood measures (all P-values > 0.05). The tripartite combination of serum neurofilament light chain levels, lesion volume and grey matter volume showed a cross-validated accuracy of 88.7% (90.8% in the replication cohort) in predicting Symbol Digits Modalities Test performance in the support vector regression approach, and outperformed each single biomarker (accuracy range: 68.6–75.6% and 68.9–77.8% in the replication cohort), as well as the dual biomarker combinations (accuracy range: 71.8–82.3% and 72.6–85.6% in the replication cohort). Taken together, early neuro-axonal loss reflects worse information processing speed, the key deficit underlying cognitive dysfunction in multiple sclerosis. Our findings demonstrate that combining blood and imaging measures improves the accuracy of predicting cognitive impairment, highlighting the clinical utility of cross-modal biomarkers in multiple sclerosis.
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Affiliation(s)
- Tobias Brummer
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz , Langenbeckstr, 1, Mainz 55131 , Germany
| | - Muthuraman Muthuraman
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz , Langenbeckstr, 1, Mainz 55131 , Germany
| | - Falk Steffen
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz , Langenbeckstr, 1, Mainz 55131 , Germany
| | - Timo Uphaus
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz , Langenbeckstr, 1, Mainz 55131 , Germany
| | - Lena Minch
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz , Langenbeckstr, 1, Mainz 55131 , Germany
| | - Maren Person
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz , Langenbeckstr, 1, Mainz 55131 , Germany
| | - Frauke Zipp
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz , Langenbeckstr, 1, Mainz 55131 , Germany
| | - Sergiu Groppa
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz , Langenbeckstr, 1, Mainz 55131 , Germany
| | - Stefan Bittner
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz , Langenbeckstr, 1, Mainz 55131 , Germany
| | - Vinzenz Fleischer
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz , Langenbeckstr, 1, Mainz 55131 , Germany
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Wu J, Wu D, Liang Y, Zhang Z, Zhuang L, Wang Z. Plasma neurofilament light chain: A biomarker predicting severity in patients with acute ischemic stroke. Medicine (Baltimore) 2022; 101:e29692. [PMID: 35777001 PMCID: PMC9239649 DOI: 10.1097/md.0000000000029692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Neurofilament light chain (NfL) levels have proved to be a good biomarker in cerebrospinal fluid (CSF) correlating with the degree of neuronal injury and neurodegeneration. However, little is known about the value of plasma neurofilament light chain (pNfL) levels in predicting the clinical prognosis of patients with acute cerebral infarction. This study aimed to explore whether pNfL could be used as a biomarker to predict the severity of the outcomes of acute ischemic stroke (AIS). Patients with AIS were included from the Department of Neurology of the First People's Hospital of Bengbu City from January 2018 to May 2019, as well as health control (HC). The plasma levels of NfL in patients with AIS (n = 60) at 2 days, 7 days, and 6 months after stroke, as well as in HCs (n = 60) were measured by electrochemiluminescence immunoassay(ECL) on the Meso Scale Discovery platform. Stroke severity was analyzed at admission using the National Institutes of Health Stroke Scale score. Functional outcomes were assessed at different times using the modified Rankin Scale (mRS) and Barthel Index. The mean level of pNfL in patients with ischemic stroke (IS) at 2 days (225.86 pg/L) after stroke was significantly higher than that in HC (107.02 pg/L) and gradually increased 7 days after stroke (316.23 pg/L) (P < .0001). The mean level of pNfL in patients with IS at 6 months after stroke was 173.38 pg/L, which was still significantly higher than that of HC. The levels of pNfL at 7 days after stroke independently predicted modified Rankin Scale scores (mRS) (R = 0.621, P < .001), Barthel Index (R = -0.716, P < .001), and National Institutes of Health Stroke Scale (R = -0.736, P < .001). The diagnostic severity and prognosis were evaluated by ROC curve, an area under the receiver operator curve of 0.812 (P = .001, 95% CI: 0.69-0.93) at 7 days. Plasma NfL levels reflect neuronal injury after AIS. It changes with time and has a certain relationship with prognosis and may be a promising biomarker for predicting the severity of neuroaxonal injury in patients with acute IS.
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Affiliation(s)
- Jixia Wu
- Department of Neurology, Bengbu First People’s Hospital, Bengbu, Anhui Province, China
- *Correspondence: Jixia Wu, Department of Neurology, Bengbu First People’s Hospital of Bengbu City, 229 Tushan Road, Bengbu, Anhui 233000, China (e-mail: )
| | - Daqing Wu
- Department of Finance, Bengbu Energy Group Co., Ltd., Bengbu, Anhui Province, China
| | - Youbao Liang
- Department of Laboratory, Bengbu First People’s Hospital, Bengbu, Anhui Province, China
| | - Zhen Zhang
- Department of Laboratory, Bengbu First People’s Hospital, Bengbu, Anhui Province, China
| | - Lei Zhuang
- Department of Neurology, Bengbu First People’s Hospital, Bengbu, Anhui Province, China
| | - Zhaoping Wang
- Department of Neurology, Bengbu First People’s Hospital, Bengbu, Anhui Province, China
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Beydoun MA, Noren Hooten N, Weiss J, Beydoun HA, Hossain S, Evans MK, Zonderman AB. Plasma neurofilament light and its association with all-cause mortality risk among urban middle-aged men and women. BMC Med 2022; 20:218. [PMID: 35692046 PMCID: PMC9190073 DOI: 10.1186/s12916-022-02425-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 05/31/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Neurofilament light chain (NfL) is released into the blood during neuronal damage. NfL is linked to mortality in neurological disorders, remaining unexplored in population studies. We investigated whether initial (v1) and annualized change (δ) in plasma NfL can predict all-cause mortality in middle-aged dementia-free urban adults. METHODS Longitudinal data were from 694 participants in the Healthy Aging in Neighborhoods of Diversity Across the Life Span study (HANDLS, mean agev1: 47.8 years, 42% male, 55.8% African American). Plasma NfL was measured prospectively at three visits. Analyses included Cox proportional hazards models for all-cause mortality risk and 4-way decomposition testing for interaction and mediation. RESULTS Unlike men, women exhibited a direct association between δNfL (above vs. below median) and all-cause mortality risk in both the minimally (HR = 3.91, 95% CI 1.10-13.9, p = 0.036) and fully adjusted models (HR = 4.92, 95% CI 1.26-19.2, p = 0.022), and for δNfL (per unit increase) in the full model (HR = 1.65, 95% CI 1.04-2.61, p = 0.034). In both models, and among women, 1 standard deviation of NfLv1 was associated with an increased all-cause mortality risk (reduced model: HR = 2.01, 95% CI 1.24-3.25, p = 0.005; full model: HR = 1.75, 95% CI 1.02-2.98, p = 0.041). Only few interactions were detected for cardio-metabolic risk factors. Notably, NfLv1 was shown to be a better prognostic indicator at normal hsCRP values among women, while HbA1c and δNfL interacted synergistically to determine mortality risk, overall. CONCLUSIONS These findings indicate that plasma NfL levels at baseline and over time can predict all-cause mortality in women and interacts with hsCRP and HbA1c to predict that risk.
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Affiliation(s)
- May A Beydoun
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, 251 Bayview Blvd., Suite 100, Room #: 04B118, Baltimore, MD, 21224, USA.
| | - Nicole Noren Hooten
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, 251 Bayview Blvd., Suite 100, Room #: 04B118, Baltimore, MD, 21224, USA
| | - Jordan Weiss
- Department of Demography, University of California, Berkeley, Berkeley, CA, USA
| | - Hind A Beydoun
- Department of Research Programs, Fort Belvoir Community Hospital, Fort Belvoir, VA, USA
| | - Sharmin Hossain
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, 251 Bayview Blvd., Suite 100, Room #: 04B118, Baltimore, MD, 21224, USA
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, 251 Bayview Blvd., Suite 100, Room #: 04B118, Baltimore, MD, 21224, USA
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, 251 Bayview Blvd., Suite 100, Room #: 04B118, Baltimore, MD, 21224, USA
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Sanchez JD, Martirosian RA, Mun KT, Chong DS, Llorente IL, Uphaus T, Gröschel K, Wölfer TA, Tiedt S, Hinman JD. Temporal Patterning of Neurofilament Light as a Blood-Based Biomarker for Stroke: A Systematic Review and Meta-Analysis. Front Neurol 2022; 13:841898. [PMID: 35651349 PMCID: PMC9149427 DOI: 10.3389/fneur.2022.841898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 04/20/2022] [Indexed: 11/13/2022] Open
Abstract
Damage to axons is a core feature of ischemic stroke and cerebrovascular disease. The burden of axonal injury is correlated with the acute clinical deficits, the underlying burden of ischemic brain injury, the prognosis of recovery, and may be a meaningful therapeutic target for brain repair. Neurofilament light chain (NfL) has been identified as a blood-based biomarker that reflects neuroaxonal damage resulting from stroke. However, the utility of NfL as a blood-based biomarker in stroke is confounded by studies examining different temporal windows and patient populations. We conducted a systematic review and meta-analysis to verify the utility of blood NfL as a diagnostic, prognostic, and monitoring stroke biomarker. Nineteen studies reporting serum/plasma NfL values for a total of 4,237 distinct patients with stroke were identified. Using available summary data from the 10 studies that employed a common immunoassay platform, we utilized random effects linear mixed modeling and weighted averages to create a phasic model of serum/plasma NfL values in distinct time periods of acute stroke. Weighted averages show that blood NfL levels vary significantly across three distinct temporal epochs of acute (0–7 days), subacute (9–90 days), and chronic (>90 days) stroke with a steep peak in the early subacute period between 14 and 21 days after stroke. Blood NfL values can function as a diagnostic biomarker in distinguishing acute ischemic stroke from transient ischemic attack as well as amongst other cerebrovascular subtypes. Release of NfL into the bloodstream after stroke follows a distinct temporal dynamic that lags several weeks behind stroke onset and reliably associates with a stroke diagnosis despite some variability based on stroke subtype and severity. Identification of these temporal dynamics and the contribution of co- existent cerebrovascular disease states can improve the value of NfL as a stroke biomarker.
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Affiliation(s)
- Jasmin D Sanchez
- Indiana University School of Medicine, Indianapolis, IN, United States
| | | | - Katherine T Mun
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | - Davis S Chong
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | - Irene Lorenzo Llorente
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | - Timo Uphaus
- Department of Neurology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Klaus Gröschel
- Department of Neurology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Teresa A Wölfer
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians-Universitat (LMU) Munich, Munich, Germany
| | - Steffen Tiedt
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians-Universitat (LMU) Munich, Munich, Germany
| | - Jason D Hinman
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
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Zhou FY, Chen DW, Li HY, Zhu C, Shen YY, Peng ZY, Li L, Bu XL, Zeng GH, Zhang M, Wang YJ, Jin WS. The Association of Serum Neurofilament Light Chain and Acute Ischaemic Stroke Is Influenced by Effective Revascularization. DISEASE MARKERS 2022; 2022:5236080. [PMID: 35557872 PMCID: PMC9090527 DOI: 10.1155/2022/5236080] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 04/02/2022] [Accepted: 04/04/2022] [Indexed: 12/24/2022]
Abstract
Objective To explore associations of serum neurofilament light chain (sNfL) at admission with clinical deficits and the long-term prognosis of acute ischaemic stroke (AIS). Methods We recruited 110 AIS patients with serum sampled at hospital arrival. The concentrations of sNfL were detected by a Simoa HD-1 analyser. We first investigated the determinants of sNfL levels at admission within the study population. Associations of sNfL levels with National Institutes of Health Stroke Scale (NIHSS) scores and modified Rankin Scale (mRS) scores were then tested. We further divided the patients into revascularized and nonrevascularized groups, and the associations of sNfL levels with NIHSS and mRS scores were assessed in these subgroups. Results Age, sex, stroke history, and the time between the onset of illness and arrival at the hospital were independent influencing factors of sNfL levels within the study population. The sNfL levels at admission were correlated with the NIHSS scores 7 days after stroke (p = 0.004) across all subjects but showed no correlation with the NIHSS scores at admission (p = 0.293) or the mRS scores 6 months after stroke (p = 0.065). Further analysis revealed that in the nonrevascularized group of AIS patients, the sNfL levels at admission were positively correlated with NIHSS scores (NIHSS at admission, p = 0.005; NIHSS 7 days after stroke, p = 0.003) and negatively correlated with mRS scores (p = 0.011). Conclusion sNfL levels at admission could be a potential biomarker for predicting clinical deficits and prognosis in the natural course of AIS.
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Affiliation(s)
- Fa-Ying Zhou
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, 10 Changjiang Branch Road, Yuzhong District, Chongqing 400042, China
| | - Dong-Wan Chen
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, 10 Changjiang Branch Road, Yuzhong District, Chongqing 400042, China
| | - Hui-Yun Li
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, 10 Changjiang Branch Road, Yuzhong District, Chongqing 400042, China
| | - Chi Zhu
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, 10 Changjiang Branch Road, Yuzhong District, Chongqing 400042, China
| | - Ying-Ying Shen
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, 10 Changjiang Branch Road, Yuzhong District, Chongqing 400042, China
| | - Ze-Yan Peng
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, 10 Changjiang Branch Road, Yuzhong District, Chongqing 400042, China
| | - Ling Li
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, 10 Changjiang Branch Road, Yuzhong District, Chongqing 400042, China
| | - Xian-Le Bu
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, 10 Changjiang Branch Road, Yuzhong District, Chongqing 400042, China
| | - Gui-Hua Zeng
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, 10 Changjiang Branch Road, Yuzhong District, Chongqing 400042, China
| | - Meng Zhang
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, 10 Changjiang Branch Road, Yuzhong District, Chongqing 400042, China
| | - Yan-Jiang Wang
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, 10 Changjiang Branch Road, Yuzhong District, Chongqing 400042, China
| | - Wang-Sheng Jin
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, 10 Changjiang Branch Road, Yuzhong District, Chongqing 400042, China
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van den Bosch A, Fransen N, Mason M, Rozemuller AJ, Teunissen C, Smolders J, Huitinga I. Neurofilament Light Chain Levels in Multiple Sclerosis Correlate With Lesions Containing Foamy Macrophages and With Acute Axonal Damage. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2022; 9:9/3/e1154. [PMID: 35241571 PMCID: PMC8893592 DOI: 10.1212/nxi.0000000000001154] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 01/03/2022] [Indexed: 12/18/2022]
Abstract
Background and Objectives To investigate whether white matter lesion activity, acute axonal damage, and axonal density in MS associate with CSF neurofilament light chain (NfL) levels. Methods Of 101 brain donors with MS (n = 92 progressive MS, n = 9 relapsing-remitting MS), ventricular CSF was collected, and NfL levels were measured. White matter lesions were classified as active, mixed, inactive, or remyelinated, and microglia/macrophage morphology in active and mixed lesions was classified as ramified, ameboid, or foamy. In addition, axonal density and acute axonal damage were assessed using Bielschowsky and amyloid precursor protein (APP) (immune)histochemistry. Results CSF NfL measurements of donors with recent (<1 year) or clinically silent stroke were excluded. CSF NfL levels correlated negatively with disease duration (p = 6.9e-3, r = 0.31). In donors without atrophy, CSF NfL levels correlated positively with the proportion of active and mixed lesions containing foamy microglia/macrophages (p = 9.85e-10 and p = 1.75e-3, respectively), but not with those containing ramified microglia. CSF NfL correlated negatively with proportions of inactive (p = 5.66e-3) and remyelinated lesions (p = 0.03). In the normal appearing pyramid tract, axonal density negatively correlated with CSF NfL levels (Bielschowsky, p = 0.02, r = −0.31), and the presence of acute axonal damage in lesions was related to higher NfL levels (APP, p = 1.17e-6). The amount of acute axonal damage was higher in active lesions with foamy microglia/macrophages and in the rim of mixed lesions with foamy microglia/macrophages when compared with active lesions containing ramified microglia/macrophages (p = 4.6e-3 and p = 0.02, respectively), the center and border of mixed lesions containing ramified microglia/macrophages (center: p = 4.6e-3, border, p = 4.6e-3, and n.s., p = 4.6e-3, respectively), the center of mixed lesions containing foamy microglia/macrophages (p = 4.6e-3 and p = 0.02, respectively), inactive lesions (p = 4.6e-3 and p = 4.6e-3, respectively), and remyelinated lesions (p = 0.03 and p = 0.04, respectively). Discussion Our results demonstrated that active and mixed white matter MS lesions with foamy microglia show high acute axonal damage and correlate with elevated CSF NfL levels. Our data support the use of this biomarker to monitor inflammatory demyelinating lesion activity with axonal damage in MS.
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Affiliation(s)
- Aletta van den Bosch
- From the Neuroimmunology Research Group (A.B., N.F., M.M., J.S., I.H.), Netherlands Institute for Neuroscience; Department Pathology (A.J.R.), Amsterdam UMC; Neurochemistry Lab (C.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; Department of Neurology and Immunology (J.S.), MS Center ErasMS, ErasmusMC, Rotterdam; and Swammerdam Institute for Life Sciences (I.H.), University of Amsterdam, the Netherlands.
| | - Nina Fransen
- From the Neuroimmunology Research Group (A.B., N.F., M.M., J.S., I.H.), Netherlands Institute for Neuroscience; Department Pathology (A.J.R.), Amsterdam UMC; Neurochemistry Lab (C.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; Department of Neurology and Immunology (J.S.), MS Center ErasMS, ErasmusMC, Rotterdam; and Swammerdam Institute for Life Sciences (I.H.), University of Amsterdam, the Netherlands
| | - Matthew Mason
- From the Neuroimmunology Research Group (A.B., N.F., M.M., J.S., I.H.), Netherlands Institute for Neuroscience; Department Pathology (A.J.R.), Amsterdam UMC; Neurochemistry Lab (C.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; Department of Neurology and Immunology (J.S.), MS Center ErasMS, ErasmusMC, Rotterdam; and Swammerdam Institute for Life Sciences (I.H.), University of Amsterdam, the Netherlands
| | - Annemieke Johanna Rozemuller
- From the Neuroimmunology Research Group (A.B., N.F., M.M., J.S., I.H.), Netherlands Institute for Neuroscience; Department Pathology (A.J.R.), Amsterdam UMC; Neurochemistry Lab (C.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; Department of Neurology and Immunology (J.S.), MS Center ErasMS, ErasmusMC, Rotterdam; and Swammerdam Institute for Life Sciences (I.H.), University of Amsterdam, the Netherlands
| | - Charlotte Teunissen
- From the Neuroimmunology Research Group (A.B., N.F., M.M., J.S., I.H.), Netherlands Institute for Neuroscience; Department Pathology (A.J.R.), Amsterdam UMC; Neurochemistry Lab (C.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; Department of Neurology and Immunology (J.S.), MS Center ErasMS, ErasmusMC, Rotterdam; and Swammerdam Institute for Life Sciences (I.H.), University of Amsterdam, the Netherlands
| | - Joost Smolders
- From the Neuroimmunology Research Group (A.B., N.F., M.M., J.S., I.H.), Netherlands Institute for Neuroscience; Department Pathology (A.J.R.), Amsterdam UMC; Neurochemistry Lab (C.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; Department of Neurology and Immunology (J.S.), MS Center ErasMS, ErasmusMC, Rotterdam; and Swammerdam Institute for Life Sciences (I.H.), University of Amsterdam, the Netherlands
| | - Inge Huitinga
- From the Neuroimmunology Research Group (A.B., N.F., M.M., J.S., I.H.), Netherlands Institute for Neuroscience; Department Pathology (A.J.R.), Amsterdam UMC; Neurochemistry Lab (C.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; Department of Neurology and Immunology (J.S.), MS Center ErasMS, ErasmusMC, Rotterdam; and Swammerdam Institute for Life Sciences (I.H.), University of Amsterdam, the Netherlands
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Bitar L, Uphaus T, Thalman C, Muthuraman M, Gyr L, Ji H, Domingues M, Endle H, Groppa S, Steffen F, Koirala N, Fan W, Ibanez L, Heitsch L, Cruchaga C, Lee JM, Kloss F, Bittner S, Nitsch R, Zipp F, Vogt J. Inhibition of the enzyme autotaxin reduces cortical excitability and ameliorates the outcome in stroke. Sci Transl Med 2022; 14:eabk0135. [PMID: 35442704 DOI: 10.1126/scitranslmed.abk0135] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Stroke penumbra injury caused by excess glutamate is an important factor in determining stroke outcome; however, several therapeutic approaches aiming to rescue the penumbra have failed, likely due to unspecific targeting and persistent excitotoxicity, which continued far beyond the primary stroke event. Synaptic lipid signaling can modulate glutamatergic transmission via presynaptic lysophosphatidic acid (LPA) 2 receptors modulated by the LPA-synthesizing molecule autotaxin (ATX) present in astrocytic perisynaptic processes. Here, we detected long-lasting increases in brain ATX concentrations after experimental stroke. In humans, cerebrospinal fluid ATX concentration was increased up to 14 days after stroke. Using astrocyte-specific deletion and pharmacological inhibition of ATX at different time points after experimental stroke, we showed that inhibition of LPA-related cortical excitability improved stroke outcome. In transgenic mice and in individuals expressing a single-nucleotide polymorphism that increased LPA-related glutamatergic transmission, we found dysregulated synaptic LPA signaling and subsequent negative stroke outcome. Moreover, ATX inhibition in the animal model ameliorated stroke outcome, suggesting that this approach might have translational potential for improving the outcome after stroke.
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Affiliation(s)
- Lynn Bitar
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Timo Uphaus
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Carine Thalman
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Muthuraman Muthuraman
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Luzia Gyr
- Transfer Group Anti-Infectives, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knoell Institute, 07745 Jena, Germany
| | - Haichao Ji
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
- Department of Molecular and Translational Neuroscience, Cologne Excellence Cluster for Stress Responses in Aging-Associated Diseases (CECAD), Center for Molecular Medicine Cologne (CMMC), University of Cologne, Faculty of Medicine and University Hospital Cologne, 50937 Cologne, Germany
| | - Micaela Domingues
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Heiko Endle
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
- Department of Molecular and Translational Neuroscience, Cologne Excellence Cluster for Stress Responses in Aging-Associated Diseases (CECAD), Center for Molecular Medicine Cologne (CMMC), University of Cologne, Faculty of Medicine and University Hospital Cologne, 50937 Cologne, Germany
| | - Sergiu Groppa
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Falk Steffen
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Nabin Koirala
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Wei Fan
- Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Laura Ibanez
- Department of Psychiatry, Department of Neurology, NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Laura Heitsch
- Department of Emergency Medicine, Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Department of Neurology, NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jin-Moo Lee
- Department of Neurology, Radiology, and Biomedical Engineering, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Florian Kloss
- Transfer Group Anti-Infectives, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knoell Institute, 07745 Jena, Germany
| | - Stefan Bittner
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Robert Nitsch
- Institute of Translational Neuroscience, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - Frauke Zipp
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Johannes Vogt
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
- Department of Molecular and Translational Neuroscience, Cologne Excellence Cluster for Stress Responses in Aging-Associated Diseases (CECAD), Center for Molecular Medicine Cologne (CMMC), University of Cologne, Faculty of Medicine and University Hospital Cologne, 50937 Cologne, Germany
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Abstract
Stroke remains a leading cause of death and disability, with limited therapeutic options and suboptimal tools for diagnosis and prognosis. High throughput technologies such as proteomics generate large volumes of experimental data at once, thus providing an advanced opportunity to improve the status quo by facilitating identification of novel therapeutic targets and molecular biomarkers. Proteomics studies in animals are largely designed to decipher molecular pathways and targets altered in brain tissue after stroke, whereas studies in human patients primarily focus on biomarker discovery in biofluids and, more recently, in thrombi and extracellular vesicles. Here, we offer a comprehensive review of stroke proteomics studies conducted in both animal and human specimen and present our view on limitations, challenges, and future perspectives in the field. In addition, as a unique resource for the scientific community, we provide extensive lists of all proteins identified in proteomic studies as altered by stroke and perform postanalysis of animal data to reveal stroke-related cellular processes and pathways.
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Affiliation(s)
- Karin Hochrainer
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY (K.H.)
| | - Wei Yang
- Center for Perioperative Organ Protection, Department of Anesthesiology, Duke University School of Medicine, Durham, NC (W.Y.)
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42
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Rost NS, Brodtmann A, Pase MP, van Veluw SJ, Biffi A, Duering M, Hinman JD, Dichgans M. Post-Stroke Cognitive Impairment and Dementia. Circ Res 2022; 130:1252-1271. [PMID: 35420911 DOI: 10.1161/circresaha.122.319951] [Citation(s) in RCA: 202] [Impact Index Per Article: 101.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Poststroke cognitive impairment and dementia (PSCID) is a major source of morbidity and mortality after stroke worldwide. PSCID occurs as a consequence of ischemic stroke, intracerebral hemorrhage, or subarachnoid hemorrhage. Cognitive impairment and dementia manifesting after a clinical stroke is categorized as vascular even in people with comorbid neurodegenerative pathology, which is common in elderly individuals and can contribute to the clinical expression of PSCID. Manifestations of cerebral small vessel disease, such as covert brain infarcts, white matter lesions, microbleeds, and cortical microinfarcts, are also common in patients with stroke and likewise contribute to cognitive outcomes. Although studies of PSCID historically varied in the approach to timing and methods of diagnosis, most of them demonstrate that older age, lower educational status, socioeconomic disparities, premorbid cognitive or functional decline, life-course exposure to vascular risk factors, and a history of prior stroke increase risk of PSCID. Stroke characteristics, in particular stroke severity, lesion volume, lesion location, multiplicity and recurrence, also influence PSCID risk. Understanding the complex interaction between an acute stroke event and preexisting brain pathology remains a priority and will be critical for developing strategies for personalized prediction, prevention, targeted interventions, and rehabilitation. Current challenges in the field relate to a lack of harmonization of definition and classification of PSCID, timing of diagnosis, approaches to neurocognitive assessment, and duration of follow-up after stroke. However, evolving knowledge on pathophysiology, neuroimaging, and biomarkers offers potential for clinical applications and may inform clinical trials. Preventing stroke and PSCID remains a cornerstone of any strategy to achieve optimal brain health. We summarize recent developments in the field and discuss future directions closing with a call for action to systematically include cognitive outcome assessment into any clinical studies of poststroke outcome.
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Affiliation(s)
- Natalia S Rost
- J. Philip Kistler Stroke Research Center (N.S.R., S.J.v.V., A. Biffi), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Amy Brodtmann
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Australia (A. Brodtmann).,Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia (A. Brodtmann. M.P.P.)
| | - Matthew P Pase
- Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia (A. Brodtmann. M.P.P.).,Harvard T.H. Chan School of Public Health, Boston (M.P.P.)
| | - Susanne J van Veluw
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Charlestown (S.J.v.V.)
| | - Alessandro Biffi
- J. Philip Kistler Stroke Research Center (N.S.R., S.J.v.V., A. Biffi), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.,Divisions of Memory Disorders and Behavioral Neurology (A. Biffi), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Marco Duering
- J. Philip Kistler Stroke Research Center (N.S.R., S.J.v.V., A. Biffi), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.,Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany (M. Duering, M. Dichgans).,Medical Image Analysis Center and Department of Biomedical Engineering, University of Basel, Switzerland (M. Duering)
| | - Jason D Hinman
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles (J.D.H.).,Department of Neurology, West Los Angeles VA Medical Center, CA (J.D.H.)
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany (M. Duering, M. Dichgans).,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany (M. Dichgans).,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (M. Dichgans)
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43
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Cai D, Luo Z, Su J, Gan H, Wang Z, Liu X, Li S, Wu J, Chen J, Ma R, Huang M, Zhong G. Exposure-Response Analysis and Mechanism of Ginkgolide B’s Neuroprotective Effect in Acute Cerebral Ischemia/Reperfusion Stage in Rat. Biol Pharm Bull 2022; 45:409-420. [DOI: 10.1248/bpb.b21-00781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- Dake Cai
- School of Pharmaceutical Science, Sun Yat-sen University
| | - Zhongxing Luo
- The Seventh Affiliated Hospital, Sun Yat-sen University
| | - Jiyan Su
- Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University
| | - Haining Gan
- Department of Pharmacology of Traditional Chinese Medicine, The Fifth Clinical Medical College, Guangzhou University of Chinese Medicine
| | | | - Xiaolin Liu
- School of Pharmaceutical Science, Sun Yat-sen University
| | - Siyi Li
- Institute of Clinical Pharmacology, Guangzhou University of Chinese Medicine
| | - Jingjing Wu
- Department of Pharmacy, the First Affiliated Hospital, Sun Yat-sen University
| | - Jiangying Chen
- School of Pharmaceutical Science, Sun Yat-sen University
| | - Renqiang Ma
- Guangzhou Boji Medical Biotechnological Co., Ltd
| | - Min Huang
- School of Pharmaceutical Science, Sun Yat-sen University
| | - Guoping Zhong
- School of Pharmaceutical Science, Sun Yat-sen University
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Fohner AE, Bartz TM, Tracy RP, Adams HHH, Bis JC, Djousse L, Satizabal CL, Lopez OL, Seshadri S, Mukamal KJ, Kuller LH, Psaty BM, Longstreth WT. Association of Serum Neurofilament Light Chain Concentration and MRI Findings in Older Adults: The Cardiovascular Health Study. Neurology 2022; 98:e903-e911. [PMID: 34921102 PMCID: PMC8901174 DOI: 10.1212/wnl.0000000000013229] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 12/08/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Neurofilament light chain (NfL) in blood is a sensitive but nonspecific marker of brain injury. This study sought to evaluate associations between NfL concentration and MRI findings of vascular brain injury in older adults. METHODS A longitudinal cohort study included 2 cranial MRI scans performed about 5 years apart and assessed for white matter hyperintensities (WMH) and infarcts. About 1 year before their second MRI, 1,362 participants (median age 77 years, 61.4% women) without a history of TIA or stroke had measurement of 4 biomarkers: NfL, total tau, glial fibrillary acidic protein (GFAP), and ubiquitin carboxyl-terminal hydrolase L1. Most (n = 1,279) also had the first MRI scan, and some (n = 633) had quantitative measurements of hippocampal and WMH. In primary analyses, we assessed associations of NfL with a 10-point white matter grade (WMG) and prevalent infarcts on second MRI and with worsening WMG and incident infarct comparing the 2 scans. A p value <0.0125 (0.05/4) was considered significant for these analyses. We also assessed associations with hippocampal and WMH volume. RESULTS In fully adjusted models, log2(NfL) concentration was associated with WMG (β = 0.27; p = 2.3 × 10-4) and worsening WMG (relative risk [RR] 1.24; p = 0.0022), but less strongly with prevalent brain infarcts (RR 1.18; p = 0.013) and not with incident brain infarcts (RR 1.18; p = 0.18). Associations were also present with WMH volume (β = 2,242.9, p = 0.0036). For the other 3 biomarkers, the associations for log2 (GFAP) concentration with WMG and worsening WMG were significant. DISCUSSION Among older adults without a history of stroke, higher serum NfL concentration was associated with covert MRI findings of vascular brain injury, especially the burden of WMH and its worsening. Whether these results offer opportunities for the use of NfL as a noninvasive biomarker of WMH or to control vascular risk factors remains to be determined.
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Affiliation(s)
- Alison E Fohner
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA.
| | - Traci M Bartz
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - Russell P Tracy
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - Hieab H H Adams
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - Joshua C Bis
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - Luc Djousse
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - Claudia L Satizabal
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - Oscar L Lopez
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - Sudha Seshadri
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - Kenneth J Mukamal
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - Lewis H Kuller
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - Bruce M Psaty
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
| | - W T Longstreth
- From the Department of Epidemiology (A.E.F., B.M.P., W.T.L.), Institute of Public Health Genetics (A.E.F.), Department of Biostatistics (T.M.B.), Cardiovascular Health Research Unit (J.C.B., B.M.P., A.E.F.), Department of Medicine (B.M.P.), Department of Health Services (B.M.P.), and Department of Neurology (W.T.L.), University of Washington, Seattle; Departments of Pathology & Laboratory Medicine and Biochemistry (R.P.T.), Larner College of Medicine, University of Vermont, Burlington; Departments of Clinical Genetics and Radiology and Nuclear Medicine (H.H.H.A.), Erasmus University Medical Center, Rotterdam, the Netherlands; Division of Aging, Department of Medicine (L.D.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases and Department of Neurology (C.L.S., S.S.), University of Texas Health Science Center at San Antonio; Boston University School of Medicine (C.L.S., S.S.); Framingham Heart Study (C.L.S., S.S.), MA; Departments of Neurology and Psychiatry (O.L.L.) and Epidemiology (L.H.K.), University of Pittsburgh, PA; and Department of Medicine (K.J.M.), Beth Israel Deaconess Medical Center, Boston, MA
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Uphaus T, Audebert HJ, Graner MW, Tiedt S, Kowalski RG. Editorial: Blood-Based Biomarkers in Acute Ischemic Stroke and Hemorrhagic Stroke. Front Neurol 2022; 13:866166. [PMID: 35280278 PMCID: PMC8907417 DOI: 10.3389/fneur.2022.866166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 02/01/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Timo Uphaus
- Department of Neurology, Focus Program Translational Neuroscience, Rhine Main Neuroscience Network, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
- *Correspondence: Timo Uphaus
| | - Heinrich J. Audebert
- Center for Stroke Research Berlin and Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Michael W. Graner
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, United States
| | - Steffen Tiedt
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Robert G. Kowalski
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, United States
- Department of Neurology, Anschutz Medical Campus, University of Colorado, Aurora, CO, United States
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Gutiérrez‑Vargas J, Castro‑Álvarez J, Zapata‑Berruecos J, Abdul‑Rahim K, Arteaga‑Noriega A. Neurodegeneration and convergent factors contributing to the deterioration of the cytoskeleton in Alzheimer's disease, cerebral ischemia and multiple sclerosis (Review). Biomed Rep 2022; 16:27. [PMID: 35251614 PMCID: PMC8889542 DOI: 10.3892/br.2022.1510] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 01/21/2022] [Indexed: 11/26/2022] Open
Abstract
The cytoskeleton is the main intracellular structure that determines the morphology of neurons and maintains their integrity. Therefore, disruption of its structure and function may underlie several neurodegenerative diseases. This review summarizes the current literature on the tau protein, microtubule-associated protein 2 (MAP2) and neurofilaments as common denominators in pathological conditions such as Alzheimer's disease (AD), cerebral ischemia, and multiple sclerosis (MS). Insights obtained from experimental models using biochemical and immunocytochemical techniques highlight that changes in these proteins may be potentially used as protein targets in clinical settings, which provides novel opportunities for the detection, monitoring and treatment of patients with these neurodegenerative diseases.
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Affiliation(s)
- Johanna Gutiérrez‑Vargas
- Neuroscience and Aging Group (GISAM), Faculty of Health Sciences, Life Sciences Laboratory, Remington University Corporation, Medellín 050023, Colombia
| | - John Castro‑Álvarez
- Neuroscience and Aging Group (GISAM), Faculty of Health Sciences, Life Sciences Laboratory, Remington University Corporation, Medellín 050023, Colombia
| | - Jose Zapata‑Berruecos
- INDEC‑CES Research Group, Neurological Institute of Colombia, Medellín 050023, Colombia
| | | | - Anibal Arteaga‑Noriega
- Family and Community Health Group, Faculty of Health Sciences, Life Sciences Laboratory, Remington University Corporation, Medellín 050023, Colombia
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Foschi M, Padroni M, Abu-Rumeileh S, Abdelhak A, Russo M, D'Anna L, Guarino M. Diagnostic and Prognostic Blood Biomarkers in Transient Ischemic Attack and Minor Ischemic Stroke: An Up-To-Date Narrative Review. J Stroke Cerebrovasc Dis 2022; 31:106292. [PMID: 35026496 DOI: 10.1016/j.jstrokecerebrovasdis.2021.106292] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 12/17/2021] [Accepted: 12/21/2021] [Indexed: 02/08/2023] Open
Abstract
INTRODUCTION Early diagnosis and correct risk stratification in patients with transient ischemic attack (TIA) and minor ischemic stroke (MIS) is crucial for the high rate of subsequent disabling stroke. Although highly improved, diagnosis and prognostication of TIA/MIS patients remain still based on clinical and neuroimaging findings, with some inter-rater variability even among trained neurologists. OBJECTIVES To provide an up-to-date overview of diagnostic and prognostic blood biomarkers in TIA and MIS patients. MATERIAL AND METHODS We performed a bibliographic search on PubMed database with last access on July 10th 2021. More than 680 articles were screened and we finally included only primary studies on blood biomarkers. RESULTS In a narrative fashion, we discussed about blood biomarkers investigated in TIA/MIS patients, including inflammatory, thrombosis, neuronal injury and cardiac analytes, antibodies and microRNAs. Other soluble molecules have been demonstrated to predict the risk of recurrent cerebrovascular events or treatment response in these patients. A rapid point of care assay, combining the determination of different biomarkers, has been developed to improve triage recognition of acute cerebrovascular accidents. CONCLUSIONS The implementation of blood biomarkers in the clinical management of TIA/MIS could ameliorate urgent identification, risk stratification and individual treatment choice. Large prospective and longitudinal studies, adopting standardized sampling and analytic procedures, are needed to clarify blood biomarkers kinetic and their relationship with TIA and minor stroke etiology.
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Affiliation(s)
- Matteo Foschi
- Department of Neuroscience, Neurology Unit, S. Maria delle Croci Hospital of Ravenna, AUSL Romagna, Ravenna, Italy; Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy.
| | - Marina Padroni
- Neurology Unit, Azienda Ospedaliero-Universitaria di Ferrara, Cona, Ferrara, Italy
| | - Samir Abu-Rumeileh
- Department of Neurology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Ahmed Abdelhak
- Department of Neurology, University of California San Francisco (UCSF), San Francisco, USA; Department of Neurology, Ulm University Hospital, Ulm, Germany
| | - Michele Russo
- Department of Cardiovascular Diseases, Division of Cardiology - S. Maria delle Croci Hospital, AUSL Romagna, Ravenna, Italy
| | - Lucio D'Anna
- Department of Stroke and Neuroscience, Charing Cross Hospital, Imperial College London, NHS Healthcare Trust, London, United Kingdom; Department of Brain Sciences, Imperial College London, London, United Kingdom
| | - Maria Guarino
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
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Zheng P, Wang X, Chen J, Wang X, Shi SX, Shi K. Plasma Neurofilament Light Chain Predicts Mortality and Long-Term Neurological Outcomes in Patients with Intracerebral Hemorrhage. Aging Dis 2022; 14:560-571. [PMID: 37008068 PMCID: PMC10017162 DOI: 10.14336/ad.2022.21020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 10/20/2022] [Indexed: 11/18/2022] Open
Abstract
Patients with intracerebral hemorrhage (ICH) often suffer from heterogeneous long-term neurological deficits, such as cognitive decline. Our ability to measure secondary brain injury to predict the long-term outcomes of these patients is limited. We investigated whether the blood neurofilament light chain (NfL) can monitor brain injury and predict long-term outcomes in patients with ICH. We enrolled 300 patients with first-episode ICH within 24 h recruited in the Chinese Cerebral Hemorrhage Mechanisms and Intervention study cohort from January 2019 to June 2020. Patients were prospectively followed up for 12 months. Blood samples were collected from 153 healthy participants. Plasma NfL levels determined using a single-molecule array revealed a biphasic increase in plasma NfL in ICH patients compared to healthy controls, with the first peak at around 24 h and a second elevation from day 7 through day 14 post-ICH. Plasma NfL levels were positively correlated with hemorrhage volume, National Institute of Health Stroke Scale, and Glasgow Coma Scale scores of ICH patients. Higher NfL concentration within 72 h after ictus was independently associated with 6- and 12-month worsened functional outcomes (modified Rankin Scale ≥ 3) and higher all-cause mortality. Magnetic resonance imaging and cognitive function evaluation were available for 26 patients at 6 months post-ICH, and NfL levels measured 7 days post-ictus correlated with decreased white matter fiber integrity and poor cognitive function at 6 months after stroke. These findings suggest that blood NfL is a sensitive marker for monitoring axonal injury post-ICH and can predict long-term functional ability and survival.
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Affiliation(s)
- Pei Zheng
- Department of Neurology, National Clinical Research Center for Neurological Diseases of China, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
| | - Xuejiao Wang
- Center for Neurological Diseases, The Third People’s Hospital of Datong, Datong 037046, China.
| | - Jingshan Chen
- Department of Neurology, Institute of Neuroimmunology, Tianjin Medical University General Hospital, Tianjin 300052, China.
| | - Xinli Wang
- Department of Neurology, Institute of Neuroimmunology, Tianjin Medical University General Hospital, Tianjin 300052, China.
| | - Samuel X Shi
- Clinical Neuroscience Research Center, Departments of Neurosurgery and Neurology, Tulane University School of Medicine, New Orleans, LA 70122, USA.
- Correspondence should be addressed to: Dr. Samuel X Shi, Tulane University School of Medicine, New Orleans, LA 70122, USA. ; Dr. Kaibin Shi, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China. .
| | - Kaibin Shi
- Department of Neurology, National Clinical Research Center for Neurological Diseases of China, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
- Correspondence should be addressed to: Dr. Samuel X Shi, Tulane University School of Medicine, New Orleans, LA 70122, USA. ; Dr. Kaibin Shi, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China. .
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Satani N, Parsha K, Savitz SI. Enhancing Stroke Recovery With Cellular Therapies. Stroke 2022. [DOI: 10.1016/b978-0-323-69424-7.00062-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Pelz JO, Kubitz K, Kamprad-Lachmann M, Harms K, Federbusch M, Hobohm C, Michalski D. A Combined Clinical and Serum Biomarker-Based Approach May Allow Early Differentiation Between Patients With Minor Stroke and Transient Ischemic Attack as Well as Mid-term Prognostication. Front Neurol 2021; 12:724490. [PMID: 34899557 PMCID: PMC8660106 DOI: 10.3389/fneur.2021.724490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 10/12/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Early differentiation between transient ischemic attack (TIA) and minor ischemic stroke (MIS) impacts on the patient's individual diagnostic work-up and treatment. Furthermore, estimations regarding persisting impairments after MIS are essential to guide rehabilitation programs. This study evaluated a combined clinical- and serum biomarker-based approach for the differentiation between TIA and MIS as well as the mid-term prognostication of the functional outcome, which is applicable within the first 24 h after symptom onset. Methods: Prospectively collected data were used for a retrospective analysis including the neurological deficit at admission (National Institutes of Health Stroke Scale, NIHSS) and the following serum biomarkers covering different pathophysiological aspects of stroke: Coagulation (fibrinogen, antithrombin), inflammation (C reactive protein), neuronal damage in the cellular [neuron specific enolase], and the extracellular compartment [matrix metalloproteinase-9, hyaluronic acid]. Further, cerebral magnetic resonance imaging was performed at baseline and day 7, while functional outcome was evaluated with the modified Rankin Scale (mRS) after 3, 6, and 12 months. Results: Based on data from 96 patients (age 64 ± 14 years), 23 TIA patients (NIHSS 0.6 ± 1.1) were compared with 73 MIS patients (NIHSS 2.4 ± 2.0). In a binary logistic regression analysis, the combination of NIHSS and serum biomarkers differentiated MIS from TIA with a sensitivity of 91.8% and a specificity of 60.9% [area under the curve (AUC) 0.84]. In patients with NIHSS 0 at admission, this panel resulted in a still acceptable sensitivity of 81.3% (specificity 71.4%, AUC 0.69) for the differentiation between MIS (n = 16) and TIA (n = 14). By adding age, remarkable sensitivities of 98.4, 100, and 98.2% for the prediction of an excellent outcome (mRS 0 or 1) were achieved with respect to time points investigated within the 1-year follow-up. However, the specificity was moderate and decreased over time (83.3, 70, 58.3%; AUC 0.96, 0.92, 0.91). Conclusion: This pilot study provides evidence that the NIHSS combined with selected serum biomarkers covering pathophysiological aspects of stroke may represent a useful tool to differentiate between MIS and TIA within 24 h after symptom onset. Further, this approach may accurately predict the mid-term outcome in minor stroke patients, which might help to allocate rehabilitative resources.
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Affiliation(s)
- Johann Otto Pelz
- Department of Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Katharina Kubitz
- Department of Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Manja Kamprad-Lachmann
- Institute of Clinical Immunology and Transfusion Medicine, University of Leipzig, Leipzig, Germany
| | - Kristian Harms
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital Leipzig, Leipzig, Germany
| | - Martin Federbusch
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital Leipzig, Leipzig, Germany
| | - Carsten Hobohm
- Department of Neurology, University Hospital Leipzig, Leipzig, Germany.,Department of Neurology, Carl-Von-Basedow-Klinikum Saalekreis, Merseburg, Germany
| | - Dominik Michalski
- Department of Neurology, University Hospital Leipzig, Leipzig, Germany
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