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Xu YY, Chappell FM, Valdés Hernández MDC, Arteaga-Reyes C, Clancy U, Garcia DJ, Wiseman S, Stringer MS, Thrippleton M, Cheng Y, Zhang J, Liu X, Jochems ACC, Doubal F, Wardlaw JM. Prevalence and Clinical Implications of Hemosiderin Deposits in Recent Small Subcortical Infarcts. Neurology 2024; 103:e209973. [PMID: 39447100 PMCID: PMC11510007 DOI: 10.1212/wnl.0000000000209973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Accepted: 09/13/2024] [Indexed: 10/26/2024] Open
Abstract
BACKGROUND AND OBJECTIVES A quarter of ischemic strokes are of lacunar clinical subtype and have an underlying recent small subcortical infarct (RSSI), but their long-term outcomes remain poorly characterized. Hemosiderin deposits (HDs) have been noted in RSSIs at chronic stages and might mimic primary hemorrhage. We characterized HDs' morphology, frequency, and clinical relevance. METHODS Participants with RSSIs were identified from a prospective longitudinal study and evaluated on 3T MRI including susceptibility-weighted imaging (SWI) from stroke diagnosis to 12 months. We categorized HDs in RSSIs on SWI at all available time points into 4 types (spots, smudge, rim, cluster) and assessed their associations with demographic factors, stroke-related factors, and image markers with adjusted logistic regression. RESULTS HDs were observed in 43 (55.0%) of 108 participants within 3 months and 83 (76.9%) of 108 within 12 months after stroke onset. The mean time to first detection of HDs was 87 (interquartile range 53-164) days. A "rim" pattern (similar to late appearance of primary hemorrhage) occurred in at least 26.5% of RSSIs at all follow-up time points, mainly those located in the lentiform/internal capsule (50.0%) or thalamus (36.4%). Infarct volume (odds ratio [OR] 1.003, 95% CI 1.001-1.006; p = 0.004) and the total small vessel disease (SVD) score at baseline (OR 2.50, 95% CI 1.28-4.86, p = 0.007) independently predicted HDs at 12 months. HDs were positively associated with more lacunes (OR 1.60, 95% CI 1.13-2.26, p < 0.01), but not the Fazekas score, number of microbleeds, basal ganglia mineral deposit score, or clinical outcomes. DISCUSSION HDs occur commonly in RSSIs and may be associated with infarct volume and SVD score. Hemosiderin "rim" is common in RSSIs, urging caution to avoid mistaking ischemic RSSI for primary hemorrhage in subacute and chronic stages.
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Affiliation(s)
- Yu-Yuan Xu
- From the China National Clinical Research Center for Neurological Diseases (Y.-Y.X.), Beijing Tiantan Hospital, Capital Medical University; Centre for Clinical Brain Sciences (F.M.C., M.D.C.V.H., C.A.-R., U.C., D.J.G., S.W., M.S.S., M.T., A.C.C.J., F.D., J.M.W.), UK Dementia Research Institute, University of Edinburgh, United Kingdom; Department of Neurology (Y.C.), West China Hospital, Sichuan University, Chengdu; Department of Neurology & Institute of Neurology (J.Z.), Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine; and Division of Neurology (X.L.), Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, China
| | - Francesca M Chappell
- From the China National Clinical Research Center for Neurological Diseases (Y.-Y.X.), Beijing Tiantan Hospital, Capital Medical University; Centre for Clinical Brain Sciences (F.M.C., M.D.C.V.H., C.A.-R., U.C., D.J.G., S.W., M.S.S., M.T., A.C.C.J., F.D., J.M.W.), UK Dementia Research Institute, University of Edinburgh, United Kingdom; Department of Neurology (Y.C.), West China Hospital, Sichuan University, Chengdu; Department of Neurology & Institute of Neurology (J.Z.), Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine; and Division of Neurology (X.L.), Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, China
| | - Maria Del C Valdés Hernández
- From the China National Clinical Research Center for Neurological Diseases (Y.-Y.X.), Beijing Tiantan Hospital, Capital Medical University; Centre for Clinical Brain Sciences (F.M.C., M.D.C.V.H., C.A.-R., U.C., D.J.G., S.W., M.S.S., M.T., A.C.C.J., F.D., J.M.W.), UK Dementia Research Institute, University of Edinburgh, United Kingdom; Department of Neurology (Y.C.), West China Hospital, Sichuan University, Chengdu; Department of Neurology & Institute of Neurology (J.Z.), Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine; and Division of Neurology (X.L.), Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, China
| | - Carmen Arteaga-Reyes
- From the China National Clinical Research Center for Neurological Diseases (Y.-Y.X.), Beijing Tiantan Hospital, Capital Medical University; Centre for Clinical Brain Sciences (F.M.C., M.D.C.V.H., C.A.-R., U.C., D.J.G., S.W., M.S.S., M.T., A.C.C.J., F.D., J.M.W.), UK Dementia Research Institute, University of Edinburgh, United Kingdom; Department of Neurology (Y.C.), West China Hospital, Sichuan University, Chengdu; Department of Neurology & Institute of Neurology (J.Z.), Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine; and Division of Neurology (X.L.), Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, China
| | - Una Clancy
- From the China National Clinical Research Center for Neurological Diseases (Y.-Y.X.), Beijing Tiantan Hospital, Capital Medical University; Centre for Clinical Brain Sciences (F.M.C., M.D.C.V.H., C.A.-R., U.C., D.J.G., S.W., M.S.S., M.T., A.C.C.J., F.D., J.M.W.), UK Dementia Research Institute, University of Edinburgh, United Kingdom; Department of Neurology (Y.C.), West China Hospital, Sichuan University, Chengdu; Department of Neurology & Institute of Neurology (J.Z.), Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine; and Division of Neurology (X.L.), Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, China
| | - Daniela Jaime Garcia
- From the China National Clinical Research Center for Neurological Diseases (Y.-Y.X.), Beijing Tiantan Hospital, Capital Medical University; Centre for Clinical Brain Sciences (F.M.C., M.D.C.V.H., C.A.-R., U.C., D.J.G., S.W., M.S.S., M.T., A.C.C.J., F.D., J.M.W.), UK Dementia Research Institute, University of Edinburgh, United Kingdom; Department of Neurology (Y.C.), West China Hospital, Sichuan University, Chengdu; Department of Neurology & Institute of Neurology (J.Z.), Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine; and Division of Neurology (X.L.), Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, China
| | - Stewart Wiseman
- From the China National Clinical Research Center for Neurological Diseases (Y.-Y.X.), Beijing Tiantan Hospital, Capital Medical University; Centre for Clinical Brain Sciences (F.M.C., M.D.C.V.H., C.A.-R., U.C., D.J.G., S.W., M.S.S., M.T., A.C.C.J., F.D., J.M.W.), UK Dementia Research Institute, University of Edinburgh, United Kingdom; Department of Neurology (Y.C.), West China Hospital, Sichuan University, Chengdu; Department of Neurology & Institute of Neurology (J.Z.), Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine; and Division of Neurology (X.L.), Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, China
| | - Michael S Stringer
- From the China National Clinical Research Center for Neurological Diseases (Y.-Y.X.), Beijing Tiantan Hospital, Capital Medical University; Centre for Clinical Brain Sciences (F.M.C., M.D.C.V.H., C.A.-R., U.C., D.J.G., S.W., M.S.S., M.T., A.C.C.J., F.D., J.M.W.), UK Dementia Research Institute, University of Edinburgh, United Kingdom; Department of Neurology (Y.C.), West China Hospital, Sichuan University, Chengdu; Department of Neurology & Institute of Neurology (J.Z.), Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine; and Division of Neurology (X.L.), Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, China
| | - Michael Thrippleton
- From the China National Clinical Research Center for Neurological Diseases (Y.-Y.X.), Beijing Tiantan Hospital, Capital Medical University; Centre for Clinical Brain Sciences (F.M.C., M.D.C.V.H., C.A.-R., U.C., D.J.G., S.W., M.S.S., M.T., A.C.C.J., F.D., J.M.W.), UK Dementia Research Institute, University of Edinburgh, United Kingdom; Department of Neurology (Y.C.), West China Hospital, Sichuan University, Chengdu; Department of Neurology & Institute of Neurology (J.Z.), Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine; and Division of Neurology (X.L.), Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, China
| | - Yajun Cheng
- From the China National Clinical Research Center for Neurological Diseases (Y.-Y.X.), Beijing Tiantan Hospital, Capital Medical University; Centre for Clinical Brain Sciences (F.M.C., M.D.C.V.H., C.A.-R., U.C., D.J.G., S.W., M.S.S., M.T., A.C.C.J., F.D., J.M.W.), UK Dementia Research Institute, University of Edinburgh, United Kingdom; Department of Neurology (Y.C.), West China Hospital, Sichuan University, Chengdu; Department of Neurology & Institute of Neurology (J.Z.), Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine; and Division of Neurology (X.L.), Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, China
| | - Junfang Zhang
- From the China National Clinical Research Center for Neurological Diseases (Y.-Y.X.), Beijing Tiantan Hospital, Capital Medical University; Centre for Clinical Brain Sciences (F.M.C., M.D.C.V.H., C.A.-R., U.C., D.J.G., S.W., M.S.S., M.T., A.C.C.J., F.D., J.M.W.), UK Dementia Research Institute, University of Edinburgh, United Kingdom; Department of Neurology (Y.C.), West China Hospital, Sichuan University, Chengdu; Department of Neurology & Institute of Neurology (J.Z.), Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine; and Division of Neurology (X.L.), Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, China
| | - Xiaodi Liu
- From the China National Clinical Research Center for Neurological Diseases (Y.-Y.X.), Beijing Tiantan Hospital, Capital Medical University; Centre for Clinical Brain Sciences (F.M.C., M.D.C.V.H., C.A.-R., U.C., D.J.G., S.W., M.S.S., M.T., A.C.C.J., F.D., J.M.W.), UK Dementia Research Institute, University of Edinburgh, United Kingdom; Department of Neurology (Y.C.), West China Hospital, Sichuan University, Chengdu; Department of Neurology & Institute of Neurology (J.Z.), Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine; and Division of Neurology (X.L.), Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, China
| | - Angela C C Jochems
- From the China National Clinical Research Center for Neurological Diseases (Y.-Y.X.), Beijing Tiantan Hospital, Capital Medical University; Centre for Clinical Brain Sciences (F.M.C., M.D.C.V.H., C.A.-R., U.C., D.J.G., S.W., M.S.S., M.T., A.C.C.J., F.D., J.M.W.), UK Dementia Research Institute, University of Edinburgh, United Kingdom; Department of Neurology (Y.C.), West China Hospital, Sichuan University, Chengdu; Department of Neurology & Institute of Neurology (J.Z.), Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine; and Division of Neurology (X.L.), Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, China
| | - Fergus Doubal
- From the China National Clinical Research Center for Neurological Diseases (Y.-Y.X.), Beijing Tiantan Hospital, Capital Medical University; Centre for Clinical Brain Sciences (F.M.C., M.D.C.V.H., C.A.-R., U.C., D.J.G., S.W., M.S.S., M.T., A.C.C.J., F.D., J.M.W.), UK Dementia Research Institute, University of Edinburgh, United Kingdom; Department of Neurology (Y.C.), West China Hospital, Sichuan University, Chengdu; Department of Neurology & Institute of Neurology (J.Z.), Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine; and Division of Neurology (X.L.), Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, China
| | - Joanna M Wardlaw
- From the China National Clinical Research Center for Neurological Diseases (Y.-Y.X.), Beijing Tiantan Hospital, Capital Medical University; Centre for Clinical Brain Sciences (F.M.C., M.D.C.V.H., C.A.-R., U.C., D.J.G., S.W., M.S.S., M.T., A.C.C.J., F.D., J.M.W.), UK Dementia Research Institute, University of Edinburgh, United Kingdom; Department of Neurology (Y.C.), West China Hospital, Sichuan University, Chengdu; Department of Neurology & Institute of Neurology (J.Z.), Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine; and Division of Neurology (X.L.), Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, China
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Holmegaard L, Jensen C, Pedersen A, Blomstrand C, Blennow K, Zetterberg H, Jood K, Jern C. Circulating levels of neurofilament light chain as a biomarker of infarct and white matter hyperintensity volumes after ischemic stroke. Sci Rep 2024; 14:16180. [PMID: 39003344 PMCID: PMC11246414 DOI: 10.1038/s41598-024-67232-1] [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: 01/11/2024] [Accepted: 07/09/2024] [Indexed: 07/15/2024] Open
Abstract
Serum neurofilament light chain protein (sNfL) shows promise as a biomarker for infarct size in acute ischemic stroke and for monitoring cerebral small vessel disease (cSVD). However, distinguishing the cSVD contribution after stroke may not be possible due to post-stroke sNfL increase. Additionally, it remains unclear if etiologic subtype differences exist. We measured infarct and white matter hyperintensity (WMH) volumes using MRI at the index stroke in ischemic stroke patients (n = 316, mean age 53 years, 65% males) and at 7-year follow-up (n = 187). Serum NfL concentration was measured in the acute phase (n = 235), at 3-months (n = 288), and 7-years (n = 190) post stroke. In multivariable regression, acute and 3-month sNfL concentrations were associated with infarct volume and time since stroke, but not with stroke etiology or infarct location. Seven years post-stroke, sNfL was associated with WMHs and age, but not with stroke etiology. Nonlinear regression estimated that sNfL peaks around 1 month, and declines by 50% at 3 months, and 99% at 9 months. We conclude that sNfL can indicate infarct volume and time since brain injury in the acute and subacute phases after stroke. Due to the significant post-stroke sNfL increase, several months are needed for reliable assessment of cSVD activity.
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Affiliation(s)
- Lukas Holmegaard
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
- Department of Neurology, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden.
| | - Christer Jensen
- Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Radiology, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
| | - Annie Pedersen
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
| | - Christian Blomstrand
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Region Västra Götaland, Gothenburg, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Region Västra Götaland, Gothenburg, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Katarina Jood
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Neurology, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
| | - Christina Jern
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
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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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4
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Duering M, Biessels GJ, Brodtmann A, Chen C, Cordonnier C, de Leeuw FE, Debette S, Frayne R, Jouvent E, Rost NS, Ter Telgte A, Al-Shahi Salman R, Backes WH, Bae HJ, Brown R, Chabriat H, De Luca A, deCarli C, Dewenter A, Doubal FN, Ewers M, Field TS, Ganesh A, Greenberg S, Helmer KG, Hilal S, Jochems ACC, Jokinen H, Kuijf H, Lam BYK, Lebenberg J, MacIntosh BJ, Maillard P, Mok VCT, Pantoni L, Rudilosso S, Satizabal CL, Schirmer MD, Schmidt R, Smith C, Staals J, Thrippleton MJ, van Veluw SJ, Vemuri P, Wang Y, Werring D, Zedde M, Akinyemi RO, Del Brutto OH, Markus HS, Zhu YC, Smith EE, Dichgans M, Wardlaw JM. Neuroimaging standards for research into small vessel disease-advances since 2013. Lancet Neurol 2023; 22:602-618. [PMID: 37236211 DOI: 10.1016/s1474-4422(23)00131-x] [Citation(s) in RCA: 249] [Impact Index Per Article: 124.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 03/03/2023] [Accepted: 03/28/2023] [Indexed: 05/28/2023]
Abstract
Cerebral small vessel disease (SVD) is common during ageing and can present as stroke, cognitive decline, neurobehavioural symptoms, or functional impairment. SVD frequently coexists with neurodegenerative disease, and can exacerbate cognitive and other symptoms and affect activities of daily living. Standards for Reporting Vascular Changes on Neuroimaging 1 (STRIVE-1) categorised and standardised the diverse features of SVD that are visible on structural MRI. Since then, new information on these established SVD markers and novel MRI sequences and imaging features have emerged. As the effect of combined SVD imaging features becomes clearer, a key role for quantitative imaging biomarkers to determine sub-visible tissue damage, subtle abnormalities visible at high-field strength MRI, and lesion-symptom patterns, is also apparent. Together with rapidly emerging machine learning methods, these metrics can more comprehensively capture the effect of SVD on the brain than the structural MRI features alone and serve as intermediary outcomes in clinical trials and future routine practice. Using a similar approach to that adopted in STRIVE-1, we updated the guidance on neuroimaging of vascular changes in studies of ageing and neurodegeneration to create STRIVE-2.
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Affiliation(s)
- Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany; Medical Image Analysis Center, University of Basel, Basel, Switzerland; Department of Biomedical Engineering, University of Basel, Basel, Switzerland.
| | - Geert Jan Biessels
- Department of Neurology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Amy Brodtmann
- Cognitive Health Initiative, Central Clinical School, Monash University, Melbourne, VIC, Australia; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Christopher Chen
- Department of Pharmacology, Memory Aging and Cognition Centre, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Psychological Medicine, Memory Aging and Cognition Centre, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Charlotte Cordonnier
- Université de Lille, INSERM, CHU Lille, U1172-Lille Neuroscience and Cognition (LilNCog), Lille, France
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Center for Medical Neuroscience, Radboudumc, Nijmegen, Netherlands
| | - Stéphanie Debette
- Bordeaux Population Health Research Center, University of Bordeaux, INSERM, UMR 1219, Bordeaux, France; Department of Neurology, Institute for Neurodegenerative Diseases, CHU de Bordeaux, Bordeaux, France
| | - Richard Frayne
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada; Department of Radiology, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada; Seaman Family MR Research Centre, Foothills Medical Centre, University of Calgary, Calgary, AB, Canada
| | - Eric Jouvent
- AP-HP, Lariboisière Hospital, Translational Neurovascular Centre, FHU NeuroVasc, Université Paris Cité, Paris, France; Université Paris Cité, INSERM UMR 1141, NeuroDiderot, Paris, France
| | - Natalia S Rost
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | | | | | - Walter H Backes
- School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, Netherlands; School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University College of Medicine, Seoul, South Korea; Cerebrovascular Disease Center, Seoul National University Bundang Hospital, Seongn-si, South Korea
| | - Rosalind Brown
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Hugues Chabriat
- Centre Neurovasculaire Translationnel, CERVCO, INSERM U1141, FHU NeuroVasc, Université Paris Cité, Paris, France
| | - Alberto De Luca
- Image Sciences Institute, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands
| | - Charles deCarli
- Department of Neurology and Center for Neuroscience, University of California, Davis, CA, USA
| | - Anna Dewenter
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Fergus N Doubal
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Michael Ewers
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Thalia S Field
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada; Vancouver Stroke Program, Division of Neurology, University of British Columbia, Vancouver, BC, Canada
| | - Aravind Ganesh
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada; Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada; Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada
| | - Steven Greenberg
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Karl G Helmer
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Athinoula A Martinos Center for Biomedical Imaging, Boston, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Saima Hilal
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Angela C C Jochems
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Hanna Jokinen
- Division of Neuropsychology, HUS Neurocenter, Helsinki University Hospital, University of Helsinki, Helsinki, Finland; Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Hugo Kuijf
- Image Sciences Institute, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands
| | - Bonnie Y K Lam
- Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Margaret KL Cheung Research Centre for Management of Parkinsonism, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Therese Pei Fong Chow Research Centre for Prevention of Dementia, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Lui Che Woo Institute of Innovative Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Lau Tat-chuen Research Centre of Brain Degenerative Diseases in Chinese, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Jessica Lebenberg
- AP-HP, Lariboisière Hospital, Translational Neurovascular Centre, FHU NeuroVasc, Université Paris Cité, Paris, France; Université Paris Cité, INSERM UMR 1141, NeuroDiderot, Paris, France
| | - Bradley J MacIntosh
- Sandra E Black Centre for Brain Resilience and Repair, Hurvitz Brain Sciences, Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada; Computational Radiology and Artificial Intelligence Unit, Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Pauline Maillard
- Department of Neurology and Center for Neuroscience, University of California, Davis, CA, USA
| | - Vincent C T Mok
- Division of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Margaret KL Cheung Research Centre for Management of Parkinsonism, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Therese Pei Fong Chow Research Centre for Prevention of Dementia, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Lui Che Woo Institute of Innovative Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Lau Tat-chuen Research Centre of Brain Degenerative Diseases in Chinese, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Leonardo Pantoni
- Department of Biomedical and Clinical Science, University of Milan, Milan, Italy
| | - Salvatore Rudilosso
- Comprehensive Stroke Center, Department of Neuroscience, Hospital Clinic and August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA; Department of Population Health Sciences, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA; Department of Neurology, Boston University Medical Center, Boston, MA, USA; Framingham Heart Study, Framingham, MA, USA
| | - Markus D Schirmer
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Colin Smith
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Julie Staals
- School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, Netherlands; Department of Neurology, Maastricht University Medical Center, Maastricht, Netherlands
| | - Michael J Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; Edinburgh Imaging and Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | | | | | - Yilong Wang
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - David Werring
- Stroke Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Marialuisa Zedde
- Neurology Unit, Stroke Unit, Department of Neuromotor Physiology and Rehabilitation, Azienda Unità Sanitaria-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Rufus O Akinyemi
- Neuroscience and Ageing Research Unit, Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Oscar H Del Brutto
- School of Medicine and Research Center, Universidad de Especialidades Espiritu Santo, Ecuador
| | - Hugh S Markus
- Stroke Research Group, Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK
| | - Yi-Cheng Zhu
- Department of Neurology, Peking Union Medical College Hospital, Beijing, China
| | - Eric E Smith
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada; Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada; Department of Radiology, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany; German Centre for Cardiovascular Research (DZHK), Munich, Germany
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK.
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5
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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 (AMSTERDAM, NETHERLANDS) 2023; 15:e12396. [PMID: 36994314 PMCID: PMC10040495 DOI: 10.1002/dad2.12396] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [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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6
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Sieweke JT, Grosse GM, Weissenborn K, Derda AA, Biber S, Bauersachs J, Bavendiek U, Tillmanns J. Circulating fibroblast activation protein α is reduced in acute ischemic stroke. Front Cardiovasc Med 2022; 9:1064157. [PMID: 36568546 PMCID: PMC9768027 DOI: 10.3389/fcvm.2022.1064157] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 11/22/2022] [Indexed: 12/12/2022] Open
Abstract
Background Fibroblast activation protein α (FAP), a membrane glycoprotein with dipeptidyl-peptidase and collagenase properties, is expressed in atherosclerotic plaques and remodeling of the extracellular matrix based on fibrosis. Fibrosis is a main contributor of atrial cardiomyopathies. In acute MI, circulating FAP is associated with outcome. Here, we investigated the correlation of circulating FAP to echocardiographic parameters of atrial remodeling and neurological impairment in acute ischemic stroke. Methods Circulating FAP plasma concentrations were determined by ELISA in 47 patients with acute stroke and 22 control patients without stroke. Echocardiography was performed in all participants. Laboratory analysis, National Institutes of Health Stroke Scale (NIHSS) scoring and prolonged Holter-ECG-monitoring were performed in all stroke patients. Results Patients with acute stroke had lower circulating FAP concentrations than the control cohort (92 ± 24 vs. 106 ± 22 ng/mL, P < 0.001). There was no difference between the circulating FAP concentration comparing stroke due to atrial fibrillation, embolic stroke of undetermined source (ESUS) or atherosclerotic origin. Septal atrial conduction time (sPA-TDI) and left atrial (LA) volume index to tissue Doppler velocity (LAVI/a') representing echocardiographic parameters of LA remodeling did not correlate with FAP concentrations (sPA-TDI: r = 0.123, p = 0.31; LAVI/a': r = 0.183, p = 0.132). Stroke severity as assessed by NIHSS inversely correlated with circulating FAP (r = -0.318, p = 0.04). FAP concentration had a fair accuracy for identifying stroke in the receiver operating characteristic (ROC) analysis (AUC = 0.710, 95% CI: 0.577-0.843). A FAP concentration of 101 ng/mL discriminated between presence and absence of stroke with a sensitivity of 72% and a specificity of 77%. Lower circulating FAP concentration was associated with cardio-cerebro-vascular events within 12 months after admission. Conclusions Our study is the first to associate FAP with echocardiographic parameters of LA-remodeling and function. FAP did not correlate with sPA-TDI and LAVI/a'. However, FAP was associated with stroke, neurological impairment, and cardio-cerebral events within 12 months. Therefore, FAP might enable individualized risk stratification in ischemic stroke.
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Affiliation(s)
- Jan-Thorben Sieweke
- Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Gerrit M. Grosse
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | | | - Anselm A. Derda
- Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Saskia Biber
- Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Johann Bauersachs
- Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Udo Bavendiek
- Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany
| | - Jochen Tillmanns
- Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany,*Correspondence: Jochen Tillmanns
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7
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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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8
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Oge DD, Topcuoglu MA, Arsava EM. Apparent diffusion coefficient signature of ischemic tissue predicts neurological progression in isolated pontine infarcts. Eur Stroke J 2022; 7:66-70. [PMID: 35300260 PMCID: PMC8921789 DOI: 10.1177/23969873211072956] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 12/17/2021] [Indexed: 04/17/2024] Open
Abstract
BACKGROUND Early neurological deterioration is encountered in up to a third of patients with isolated pontine infarcts. A limited number of clinical and imaging features have been suggested as predictors of neurological progression in this setting. In this study, we assessed whether quantitative apparent diffusion coefficient (ADC) measurements within the ischemic pontine region could be used as a radiomic feature to forecast clinical deterioration. METHODS We calculated the mean ADC value of ischemic voxels within the ischemic region and normalized them to the contralateral non-ischemic tissue (relative ADC, rADC) in patients with isolated pontine infarcts. This imaging signature was then compared among patients with neurological progression (n = 21) and a propensity matched cohort of non-progressors (n = 42), together with other clinical and imaging features in bivariate and multivariate statistical models. RESULTS The rADCmean was significantly lower among patients with progression (p = 0.008). Female gender and extension of the ischemic lesion to the ventral pontine surface were other features significantly associated with progression. The association between rADCmean and progression persisted in multivariate models with an odds ratio of 13.7 (95% CI 2.6-72.8; p = 0.002) for progression among patients with rADCmean ≤ 0.67 in their ischemic tissue. The probability for worsening was 80% among patients who had an ischemic lesion extending to the ventral pontine surface with a mean rADC ≤ 0.67. CONCLUSION The mean rADC value within the ischemic lesion is closely related with early neurological deterioration in patients with isolated pontine infarcts.
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Affiliation(s)
- Dogan Dinc Oge
- Department of Neurology, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - Mehmet A. Topcuoglu
- Department of Neurology, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - Ethem Murat Arsava
- Department of Neurology, Faculty of Medicine, Hacettepe University, Ankara, Turkey
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9
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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: 1.0] [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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10
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Wang M, Li Y, Song Y, Zhao Y, Zhao X. Association of total cerebral small vessel disease burden with the cavitation of recent small subcortical infarcts. Acta Radiol 2021; 64:295-300. [PMID: 34894757 DOI: 10.1177/02841851211066583] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Recent small subcortical infarcts (RSSIs) could evolve into cavitation (lacunes) or non-cavitation (white matter hyperintensities or disappearance) during the chronic period, but the factors involved remain unclear. PURPOSE To explore the association between total cerebral small vessel disease (CSVD) burden and lesion cavitation. MATERIAL AND METHODS We retrospectively selected 202 inpatients with an isolated RSSI who underwent baseline and follow-up magnetic resonance imaging (median interval = 16.6 months; interquartile range [IQR]=8.2-30.1). Inpatients were divided into cavitation and non-cavitation groups depending on whether a fluid-filled cavity formed. Data including demographic, clinical, and radiological features were collected and analyzed. To determine total CSVD burden, four imaging markers, including lacunes, microbleeds, white matter hyperintensities, and enlarged perivascular spaces, were rated and summed as a final practical score between 0 and 4. RESULTS Overall, 137 (67.8%) patients progressed to cavitation and 65 (32.2%) to non-cavitation. Binary multivariable regression analysis showed that the baseline total CSVD burden (P = 0.005) and infarct diameter (P = 0.002) were independent risk factors for cavitation. A severe total burden (scores of 3-4) at baseline was independently related to cavitation (P = 0.001). Moreover, the total CSVD burden score varied from 2 (IQR=1-3) at baseline to 3 (IQR=2-4) at follow-up. The extent of the increase in total burden was correlated with cavitation (r = 0.201; P = 0.004). CONCLUSION Total CSVD burden, both the baseline value and extent of increase, was positively associated with cavitation. RSSIs with severe total CSVD burden at baseline have a greater potential to become cavitated.
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Affiliation(s)
- Meimei Wang
- Department of Radiology, The Fifth People’s Hospital, Fudan University, Shanghai, PR China
| | - Yunfei Li
- Department of Radiology, The Fifth People’s Hospital, Fudan University, Shanghai, PR China
| | - Yingjie Song
- Department of Radiology, The Fifth People’s Hospital, Fudan University, Shanghai, PR China
| | - Yingyu Zhao
- Department of Radiology, Tongji Hospital, Tongji University, Shanghai, PR China
| | - Xiaohu Zhao
- Department of Radiology, The Fifth People’s Hospital, Fudan University, Shanghai, PR China
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11
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Peters N. Neurofilament Light Chain as a Biomarker in Cerebral Small-Vessel Disease. Mol Diagn Ther 2021; 26:1-6. [PMID: 34825310 DOI: 10.1007/s40291-021-00566-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/10/2021] [Indexed: 03/26/2024]
Abstract
Neurofilament light chain is part of the neuroaxonal cytoskeleton and upon disease-related neuroaxonal damage, it is released to the extracellular space and, based on modern highly sensitive assays, can also be detected in the peripheral blood. Thus, neurofilament light chain in the blood is an emerging marker of neurological disease, including age-related conditions, such as neurodegenerative but also neurovascular diseases. Recently, blood neurofilament light chain has been shown to serve as a potentially interesting marker of disease burden and prognostication also in cerebral small-vessel disease, a condition that is highly prevalent in elderly subjects. Small-vessel disease is a progressive condition, often related to common vascular risk factors such as arterial hypertension and is an important cause of stroke, vascular cognitive impairment, and dementia. As an age-dependent condition, small-vessel disease may occur concomitantly with neurodegenerative diseases, with both conditions having a potential impact on clinical status or cognitive performance. The aim of the present article is to give an overview on the current knowledge on neurofilament light chain as a disease or progression marker in small-vessel disease.
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Affiliation(s)
- Nils Peters
- Stroke Center, Klinik Hirslanden, Zurich, Switzerland. .,Department of Neurology and Stroke Center, University Hospital Basel, University of Basel, Basel, Switzerland. .,Neurorehabilitation Unit, Felix Platter Hospital, University of Basel and University Center for Medicine of Aging, Basel, Switzerland.
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12
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Sharma M, Smith EE, Pearce LA, Perera KS, Kasner SE, Yoon BW, Ameriso SF, Puig J, Damgaard D, Fiebach JB, Muir KW, Veltkamp RC, Toni DS, Shamalov N, Gagliardi RJ, Mikulik R, Engelter ST, Bereczki D, O'Donnell MJ, Saad F, Shoamanesh A, Berkowitz SD, Mundl H, Hart RG. Rivaroxaban versus aspirin for prevention of covert brain infarcts in patients with embolic stroke of undetermined source: NAVIGATE ESUS MRI substudy. Int J Stroke 2021; 17:799-805. [PMID: 34791941 PMCID: PMC9358304 DOI: 10.1177/17474930211058012] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Background Covert brain infarcts are associated with important neurological morbidity.
Their incidence in patients with embolic stroke of undetermined source
(ESUS) is unknown. Aims To assess the incidence of covert brain infarcts and cerebral microbleeds
using MRI in a prospective substudy of the NAVIGATE ESUS randomized trial
and to evaluate the effects of antithrombotic therapies. Methods At 87 sites in 15 countries, substudy participants were randomly assigned to
receive rivaroxaban 15 mg daily or aspirin 100 mg daily and underwent brain
MRI near randomization and after study termination. The primary outcome was
incident brain infarct (clinical ischemic stroke or covert brain infarct).
Brain infarcts and microbleeds were ascertained centrally by readers unaware
of treatment. Treatment effects were estimated using logistic
regression. Results Among the 718 substudy participants with interpretable, paired MRIs, the mean
age was 67 years and 61% were men with a median of 52 days between the
qualifying ischemic stroke and randomization and a median of seven days
between randomization and baseline MRI. During the median (IQR) 11 (12)
month interval between scans, clinical ischemic strokes occurred in 27 (4%)
participants, while 60 (9%) of the remaining participants had an incident
covert brain infarct detected by MRI. Assignment to rivaroxaban was not
associated with reduction in the incidence of brain infarct (OR 0.77, 95% CI
0.49, 1.2) or of covert brain infarct among those without clinical stroke
(OR 0.85, 95% CI 0.50, 1.4). New microbleeds were observed in 7% and did not
differ among those assigned rivaroxaban vs. aspirin (HR 0.95, 95% CI
0.52–1.7). Conclusions Incident covert brain infarcts occurred in twice as many ESUS patients as a
clinical ischemic stroke. Treatment with rivaroxaban compared with aspirin
did not significantly reduce the incidence of covert brain infarcts or
increase the incidence of microbleeds, but the confidence intervals for
treatment effects were wide. Registration:https://www.clinicaltrials.gov. Unique identifier: NCT
02313909
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Affiliation(s)
- Mukul Sharma
- Department of Medicine (Neurology), McMaster University, Population Health Research Institute, Hamilton Health Sciences, Hamilton, ON, Canada
| | - Eric E Smith
- Department of Clinical Neurosciences, 2129University of Calgary, Calgary, AB, Canada
| | | | - Kanjana S Perera
- Department of Medicine (Neurology), McMaster University, Population Health Research Institute, Hamilton Health Sciences, Hamilton, ON, Canada
| | - Scott E Kasner
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Byung-Woo Yoon
- Department of Neurology, Seoul National University Hospital, Seoul, Korea
| | - Sebastian F Ameriso
- Division de Neurologia Vascular, Departmento de Neurologia, Institute for Neurological Research-FLENI, Cuidad Autonoma, Buenos Aires, Argentina
| | - Josep Puig
- Department of Radiology, Girona Biomedical Research Institute, Hospital Dr. Josep Trueta, Girona, Spain
| | - Dorte Damgaard
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
| | - Jochen B Fiebach
- Center for Stroke Research, Charite - Universitatsmedizin Berlin, Berlin, Germany
| | - Keith W Muir
- Institute of Neuroscience & Psychology, University of Glasgow, Queen Elizabeth University Hospital, Glasgow, UK
| | - Roland C Veltkamp
- Department of Brain Sciences, 4615Imperial College London, London, UK
| | - Danilo S Toni
- Department of Human Neurosciences, "Sapienza" University of Rome, Rome, Italy
| | - Nikolay Shamalov
- Federal Center of Brain Research and Neurotechnology, Federal Medical Biological Agency, Moscow, Russia
| | | | - Robert Mikulik
- International Clinical Research Center and Neurology Department, St. Anne's University Hospital and Masaryk University, Brno, Czech Republic
| | - Stefan T Engelter
- University Department of Geriatic Medicine Felix Platter, Department of Neurology, University of Basel, University Hospital Basel, Basel, Switzerland
| | - Daniel Bereczki
- Department of Neurology, Semmelweis University, Budapest, Hungary
| | - Martin J O'Donnell
- HRB-Clinical Research Facility, National University Ireland, Galway, Ireland
| | - Feryal Saad
- Department of Clinical Neurosciences, 2129University of Calgary, Calgary, AB, Canada
| | - Ashkan Shoamanesh
- Department of Medicine (Neurology), McMaster University, Population Health Research Institute, Hamilton Health Sciences, Hamilton, ON, Canada
| | - Scott D Berkowitz
- Pharmaceuticals Clinical Development Thrombosis, Bayer U.S. LLC, Whippany, NJ, USA
| | | | - Robert G Hart
- Population Health Research Institute, Hamilton Health Sciences, Hamilton, ON, Canada
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13
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Suchy-Dicey A, Muller C, Shibata D, Howard BV, Cole SA, Longstreth WT, Devereux RB, Buchwald D. Comparing Vascular Brain Injury and Stroke by Cranial Magnetic Resonance Imaging, Physician-Adjudication, and Self-Report: Data from the Strong Heart Study. Neuroepidemiology 2021; 55:398-406. [PMID: 34428763 PMCID: PMC8448943 DOI: 10.1159/000517804] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 06/10/2021] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Epidemiologic studies often use self-report as proxy for clinical history. However, whether self-report correctly identifies prevalence in minority populations with health disparities and poor health-care access is unknown. Furthermore, overlap of clinical vascular events with covert vascular brain injury (VBI), detected by imaging, is largely unexamined. METHODS The Strong Heart Study recruited American Indians from 3 regions, with surveillance and adjudication of stroke events from 1989 to 2013. In 2010-2013, all 817 survivors, aged 65-95 years, underwent brain imaging, neurological history interview, and cognitive testing. VBI was defined as imaged infarct or hemorrhage. RESULTS Adjudicated stroke was prevalent in 4% of participants and separately collected, self-reported stroke in 8%. Imaging-defined VBI was detected in 51% and not associated with any stroke event in 47%. Compared with adjudication, self-report had 76% sensitivity and 95% specificity. Participants with adjudicated or self-reported stroke had the poorest performance on cognitive testing; those with imaging-only (covert) VBI had intermediate performance. CONCLUSION In this community-based cohort, self-report for prior stroke had good performance metrics. A majority of participants with VBI did not have overt, clinically recognized events but did have neurological or cognitive symptoms. Data collection methodology for studies in a resource-limited setting must balance practical limitations in costs, accuracy, feasibility, and research goals.
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Affiliation(s)
- Astrid Suchy-Dicey
- Elson S. Floyd College of Medicine, Washington State University, Spokane, Washington, USA
- Initiative for Research and Education to Advance Community Health, Washington State University, Seattle, Washington, USA
| | - Clemma Muller
- Elson S. Floyd College of Medicine, Washington State University, Spokane, Washington, USA
- Initiative for Research and Education to Advance Community Health, Washington State University, Seattle, Washington, USA
| | - Dean Shibata
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | | | - Shelley A Cole
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - W T Longstreth
- Department of Neurology, University of Washington, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | | | - Dedra Buchwald
- Elson S. Floyd College of Medicine, Washington State University, Spokane, Washington, USA
- Initiative for Research and Education to Advance Community Health, Washington State University, Seattle, Washington, USA
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14
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Jiang S, Cao T, Yan Y, Yang T, Yuan Y, Deng Q, Wu T, Sun J, Wu S, Hao ZL, Anderson CS, Wu B. Lenticulostriate artery combined with neuroimaging markers of cerebral small vessel disease differentiate the pathogenesis of recent subcortical infarction. J Cereb Blood Flow Metab 2021; 41:2105-2115. [PMID: 33563077 PMCID: PMC8327122 DOI: 10.1177/0271678x21992622] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Recent subcortical infarction (RSI) in the lenticulostriate artery (LSA) territory with a non-stenotic middle cerebral artery is a heterogeneous entity. We aimed to investigate the role of LSA combined with neuroimaging markers of cerebral small vessel disease (CSVD) in differentiating the pathogenic subtypes of RSI by whole-brain vessel-wall magnetic resonance imaging (WB-VWI). Fifty-two RSI patients without relevant middle cerebral artery (MCA) stenosis on magnetic resonance angiography were prospectively enrolled. RSI was dichotomized as branch atheromatous disease (BAD; a culprit plaque located adjacent to the LSA origin) (n = 34) and CSVD-related lacunar infarction (CSVD-related LI; without plaque or plaque located distal to the LSA origin) (n = 18). Logistic regression analysis showed lacunes (odds ratio [OR] 9.68, 95% confidence interval [CI] 1.71-54.72; P = 0.010) and smaller number of LSA branches (OR 0.59, 95% CI 0.36-0.96; P = 0.034) were associated with of BAD, whereas severe deep white matter hyperintensities (DWMH) (OR 0.11, 95% CI 0.02-0.71; P = 0.021) was associated with CSVD-related LI. In conclusion, the LSA branches combined with lacunes and severe DWMH may delineate subtypes of SSI. The WB-VWI technique could be a credible tool for delineating the heterogeneous entity of SSI in the LSA territory.
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Affiliation(s)
- Shuai Jiang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China.,Department of Neurology, The Third People's Hospital of Chengdu, Chengdu, China
| | - Tian Cao
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Yuying Yan
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Tang Yang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Ye Yuan
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Qiao Deng
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Tao Wu
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Jiayu Sun
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Simiao Wu
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Zi-Long Hao
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Craig S Anderson
- The George Institute China at Peking University Health Science Center, Beijing, China.,The George Institute for Global Health, Faculty of Medicine, UNSW, Sydney, Australia
| | - Bo Wu
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
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15
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Wood TR, Vu PT, Comstock BA, Law JB, Mayock DE, Heagerty PJ, Burbacher T, Bammler TK, Juul SE. Cytokine and chemokine responses to injury and treatment in a nonhuman primate model of hypoxic-ischemic encephalopathy treated with hypothermia and erythropoietin. J Cereb Blood Flow Metab 2021; 41:2054-2066. [PMID: 33554708 PMCID: PMC8327104 DOI: 10.1177/0271678x21991439] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Predicting long-term outcome in infants with hypoxic-ischemic encephalopathy (HIE) remains an ongoing clinical challenge. We investigated plasma biomarkers and their association with 6-month outcomes in a nonhuman primate model of HIE with or without therapeutic hypothermia (TH) and erythropoietin (Epo). Twenty-nine Macaca nemestrina were randomized to control cesarean section (n = 7) or 20 min of umbilical cord occlusion (UCO, n = 22) with either no treatment (n = 11) or TH/Epo (n = 11). Initial injury severity was scored using 30-min arterial pH, base deficit, and 10-min Apgar score. Twenty-four plasma cytokines, chemokines, and growth factors were measured 3, 6, 24, 72, and 96 h after UCO. Interleukin 17 (IL-17) and macrophage-derived chemokine (MDC) differentiated the normal/mild from moderate/severe injury groups. Treatment with TH/Epo was associated with increased monocyte chemotactic protein-4 (MCP-4) at 3 h-6h, and significantly lower MCP-4 and MDC at 24 h-72h, respectively. IL-12p40 was lower at 24 h-72h in animals with death/cerebral palsy (CP) compared to survivors without CP. Baseline injury severity was the single best predictor of death/CP, and predictions did not improve with the addition of biomarker data. Circulating chemokines associated with the peripheral monocyte cell lineage are associated with severity of injury and response to therapy, but do not improve ability to predict outcomes.
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Affiliation(s)
- Thomas R Wood
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Phuong T Vu
- Department of Biostatistics, University of Washington, Seattle, WA, USA.,Center for Clinical and Translational Research, Seattle Children's Research Institute, Seattle, WA, USA
| | - Bryan A Comstock
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Janessa B Law
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Dennis E Mayock
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | | | - Thomas Burbacher
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Theo K Bammler
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Sandra E Juul
- Department of Pediatrics, University of Washington, Seattle, WA, USA
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16
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Abstract
Stroke outcome considerably varies between stroke patients and often cannot be predicted. Now, Gendrun and colleagues investigated the suitability of blood neurofilament light chain proteins (NFL) as a biomarker of neuronal damage. High NFL levels correlated with brain injury, functional outcome and mortality following all major types of stroke. These data raise hope to revolutionize future prognosis and management of stroke patients.
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Affiliation(s)
- Ruslan Rust
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland.,Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
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17
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Magnetic resonance imaging manifestations of cerebral small vessel disease: automated quantification and clinical application. Chin Med J (Engl) 2020; 134:151-160. [PMID: 33443936 PMCID: PMC7817342 DOI: 10.1097/cm9.0000000000001299] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
The common cerebral small vessel disease (CSVD) neuroimaging features visible on conventional structural magnetic resonance imaging include recent small subcortical infarcts, lacunes, white matter hyperintensities, perivascular spaces, microbleeds, and brain atrophy. The CSVD neuroimaging features have shared and distinct clinical consequences, and the automatic quantification methods for these features are increasingly used in research and clinical settings. This review article explores the recent progress in CSVD neuroimaging feature quantification and provides an overview of the clinical consequences of these CSVD features as well as the possibilities of using these features as endpoints in clinical trials. The added value of CSVD neuroimaging quantification is also discussed for researches focused on the mechanism of CSVD and the prognosis in subjects with CSVD.
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18
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Morphologic evolution of recent small sub-cortical infarcts and adjacent white matter in the basal ganglia in a Chinese cohort. Chin Med J (Engl) 2020; 133:2302-2307. [PMID: 32881721 PMCID: PMC7546888 DOI: 10.1097/cm9.0000000000001041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Background Data on the evolution of recent small sub-cortical infarcts are limited, especially in the Chinese. Previous studies have reported a large heterogeneity in cavitation and infarct location; therefore, the present study assessed the morphology of small sub-cortical infarcts in the basal ganglia in a Chinese cohort. Methods Patients who had experienced a recent, single, small sub-cortical infarct in the basal ganglia and received at least one follow-up magnetic resonance imaging (MRI) scan were retrospectively identified from January 2014 to June 2018. Time to follow-up imaging, baseline infarct size, vascular risk factors, and other clinical data, as well as the morphologic changes of the index infarct and surrounding white matter were recorded. Demographic, clinical and MRI characteristics were respectively compared among three groups (white matter hyper-intensitie [WMH] vs. cavitation vs. absent) and between with and without new WMH formation groups. In addition, logistic regression analyses were performed in investigating the determinate independent predictors for new WMH formation. Results Seventy-eight subjects were included with a median follow-up time of 304 days (range: 124–552 days). We found a significant reduction in infarct size at follow-up: 46 of 78 (59.0%) infarctions showed some degree of cavitation, 19 of 78 (24.4%) index lesions resembled non-cavitated WMH, and 13 of 78 (16.7%) infarcts had disappeared at follow-up MRI. No factors were found to be associated with differential outcomes of the infarcts. In addition, 8 of 78 (10.3%) patients demonstrated new WMH formation surrounding the index infarct; white matter progression (odds ratio = 15.95, 95% confidence interval = 1.65–153.99; P = 0.017) was an independent risk factor of new WMH formation. Conclusions More than half of the small sub-cortical infarcts in the basal ganglia progressed to cavities, demonstrating that these infarcts can be reduced and go undetected. The presence of new WMH around the infarct may be indicative of the worsening progression of cerebral small vessel diseases. Additionally, white matter progression is an independent risk factor, which may be a potential therapeutic target.
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19
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Hong H, Zhang R, Yu X, Jiaerken Y, Wang S, Luo X, Lou M, Huang P, Zhang M. Factors Associated With the Occurrence and Evolution of Recent Small Subcortical Infarcts (RSSIs) in Different Locations. Front Aging Neurosci 2020; 12:264. [PMID: 33005145 PMCID: PMC7479090 DOI: 10.3389/fnagi.2020.00264] [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: 12/05/2019] [Accepted: 08/03/2020] [Indexed: 11/23/2022] Open
Abstract
Recent small subcortical infarcts (RSSIs) can occur in different brain regions. Distinct etiologies might be involved for RSSIs in different locations and could further affect RSSI cavitation and functional outcomes. In this study, we aim to analyze the baseline clinical and imaging characteristics associated with the occurrence and cavitation of RSSIs in different locations. We retrospectively include patients who presented with RSSIs from a database for cerebral small vessel disease. Detailed information, including demographic, clinical, laboratory, and radiological data, were collected. We identify baseline RSSIs on diffusion-weighted images and divide them into brainstem, subcortical white matter, and basal ganglia region groups. Cavitation is evaluated on follow-up T2 fluid-attenuated inversion recovery (FLAIR) images. Statistical analysis is performed to determine factors associated with the occurrence and cavitation of RSSIs in different locations. We find that patients with brainstem RSSIs have a higher proportion of diabetes (64.1%) compared to patients with subcortical white matter (27.3%, P < 0.001) and basal ganglia region RSSIs (35.2%, P = 0.006) and have higher levels of HbA1c (7.20%) compared to patients with subcortical white matter (6.10%, P = 0.001) and basal ganglia region RSSIs (6.20%, P = 0.003). In addition, patients with brainstem RSSIs have higher NIHSS scores than patients with subcortical white matter RSSIs (2 vs 0, P = 0.001). Patients with subcortical white matter RSSIs have higher a white matter hyperintensity (WMH) burden compared to patients with basal ganglia region RSSIs (21.64 cm3 vs 11.10 cm3, P = 0.004). Follow-up analysis demonstrates that basal ganglia region RSSIs are less likely to cavitate than subcortical white matter RSSIs (61.4% vs 83.6%, P = 0.010), and contacting with WMH is associated with the cavitation of subcortical white matter RSSIs (OR: 101.760, P = 0.003). Our study demonstrates that RSSIs in different locations are associated with different clinical and imaging characteristics. Furthermore, cavitation of RSSIs might be affected by local lesion features and the surrounding environment rather than general demographic and clinical factors.
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Affiliation(s)
- Hui Hong
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Ruiting Zhang
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xinfeng Yu
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yeerfan Jiaerken
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Shuyue Wang
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xiao Luo
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Min Lou
- Department of Neurology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
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20
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Peters N, van Leijsen E, Tuladhar AM, Barro C, Konieczny MJ, Ewers M, Lyrer P, Engelter ST, Kuhle J, Duering M, de Leeuw FE. Serum Neurofilament Light Chain Is Associated with Incident Lacunes in Progressive Cerebral Small Vessel Disease. J Stroke 2020; 22:369-376. [PMID: 33053952 PMCID: PMC7568975 DOI: 10.5853/jos.2019.02845] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 09/04/2020] [Indexed: 11/25/2022] Open
Abstract
Background and Purpose Serum neurofilament light (NfL)-chain is a circulating marker for neuroaxonal injury and is also associated with severity of cerebral small vessel disease (SVD) cross-sectionally. Here we explored the association of serum-NfL with imaging and cognitive measures in SVD longitudinally.
Methods From 503 subjects with SVD, baseline and follow-up magnetic resonance imaging (MRI) was available for 264 participants (follow-up 8.7±0.2 years). Baseline serum-NfL was measured by an ultrasensitive single-molecule-assay. SVD-MRI-markers including white matter hyperintensity (WMH)-volume, mean diffusivity (MD), lacunes, and microbleeds were assessed at both timepoints. Cognitive testing was performed in 336 participants, including SVD-related domains as well as global cognition and memory. Associations with NfL were assessed using linear regression analyses and analysis of covariance (ANCOVA).
Results Serum-NfL was associated with baseline WMH-volume, MD-values and presence of lacunes and microbleeds. SVD-related MRI- and cognitive measures showed progression during follow-up. NfL-levels were associated with future MRI-markers of SVD, including WMH, MD and lacunes. For the latter, this association was independent of baseline lacunes. Furthermore, NfL was associated with incident lacunes during follow-up (P=0.040). NfL-levels were associated with future SVD-related cognitive impairment (processing speed: β=–0.159; 95% confidence interval [CI], –0.242 to –0.068; P=0.001; executive function β=–0.095; 95% CI, –0.170 to –0.007; P=0.033), adjusted for age, sex, education, and depression. Dementia-risk increased with higher NfL-levels (hazard ratio, 5.0; 95% CI, 2.6 to 9.4; P<0.001), however not after adjusting for age.
Conclusions Longitudinally, serum-NfL is associated with markers of SVD, especially with incident lacunes, and future cognitive impairment affecting various domains. NfL may potentially serve as an additional marker for disease monitoring and outcome in SVD, potentially capturing both vascular and neurodegenerative processes in the elderly.
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Affiliation(s)
- Nils Peters
- Department of Neurology and Stroke Center, University Hospital Basel, University of Basel, Basel, Switzerland.,University Center for Medicine of Aging, Felix Platter-Hospital, Basel, Switzerland
| | - Esther van Leijsen
- Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Anil M Tuladhar
- Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Christian Barro
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, Basel, Switzerland
| | - Marek J Konieczny
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Michael Ewers
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Philippe Lyrer
- Department of Neurology and Stroke Center, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Stefan T Engelter
- Department of Neurology and Stroke Center, University Hospital Basel, University of Basel, Basel, Switzerland.,University Center for Medicine of Aging, Felix Platter-Hospital, Basel, Switzerland
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, Basel, Switzerland
| | - Marco Duering
- Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands.,Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Frank-Erik de Leeuw
- Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
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21
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Abstract
Lacunes on magnetic resonance imaging (MRI) are considered as a key hallmark for evaluating the progression and severity of cerebral small vessel diseases. We aimed to review the MRI diagnostic criteria, frequency, predictors and clinical impact of incident lacunes in the largest longitudinal studies. Analyses were restricted to cohort studies of more than 50 individuals that investigated incident lacunes over a duration of at least one year. We observed that: (1) MRI parameters and definition of lacunes are inconsistent across studies, (2) the frequency of incident lacunes is strongly related to the previous clinical and MRI status at individual level, (3) both age and hypertension diagnosed at onset predict incident lacunes but the exact impact of blood pressure level during follow-up remains undetermined, (4) the clinical correlates of these lesions on cognition are repeatedly observed but the exact consequences on motor or gait performances are not always evaluated. Homogenization of imaging techniques, the use of strict diagnostic criteria and a broader clinical assessment considering motor and gait performances should be recommended in future longitudinal studies of incident lacunes including clinical trials testing preventative treatments in cerebral small vessel diseases.
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Affiliation(s)
- Yifeng Ling
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Hugues Chabriat
- Department of Neurology, Groupe Hospitalier Saint-Louis-Lariboisière, Assistance Publique des Hôpitaux de Paris (APHP), Université Denis Diderot and DHU NeuroVasc Sorbonne Paris-Cité (INSERM U1161), Paris, France
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22
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Gattringer T, Valdes Hernandez M, Heye A, Armitage PA, Makin S, Chappell F, Pinter D, Doubal F, Enzinger C, Fazekas F, Wardlaw JM. Predictors of Lesion Cavitation After Recent Small Subcortical Stroke. Transl Stroke Res 2019; 11:402-411. [PMID: 31705427 PMCID: PMC7235062 DOI: 10.1007/s12975-019-00741-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 08/27/2019] [Accepted: 09/20/2019] [Indexed: 11/02/2022]
Abstract
Morphologic evolution of recent small subcortical infarcts (RSSI) ranges from lesion disappearance to lacune formation and the reasons for this variability are still poorly understood. We hypothesized that diffusion tensor imaging (DTI) and blood-brain-barrier (BBB) abnormalities early on can predict tissue damage 1 year after an RSSI. We studied prospectively recruited patients with a symptomatic MRI-defined RSSI who underwent baseline and two pre-specified MRI examinations at 1-3-month and 1-year post-stroke. We defined the extent of long-term tissue destruction, termed cavitation index, as the ratio of the 1-year T1-weighted cavity volume to the baseline RSSI volume on FLAIR. We calculated fractional anisotropy and mean diffusivity (MD) of the RSSI and normal-appearing white matter, and BBB leakage in different tissues on dynamic contrast-enhanced MRI. Amongst 60 patients, at 1-year post-stroke, 44 patients showed some degree of RSSI cavitation on FLAIR, increasing to 50 on T2- and 56 on T1-weighted high-resolution scans, with a median cavitation index of 7% (range, 1-36%). Demographic, clinical, and cerebral small vessel disease features were not associated with the cavitation index. While lower baseline MD of the RSSI (rs = - 0.371; p = 0.004) and more contrast leakage into CSF (rs = 0.347; p = 0.007) were associated with the cavitation index in univariable analysis, only BBB leakage in CSF remained independently associated with cavitation (beta = 0.315, p = 0.046). Increased BBB leakage into CSF may indicate worse endothelial dysfunction and increased risk of tissue destruction post RSSI. Although cavitation was common, it only affected a small proportion of the original RSSI.
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Affiliation(s)
- Thomas Gattringer
- Department of Neurology, Medical University of Graz, Graz, Austria.,Centre for Clinical Brain Sciences, The University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH16 4SB, UK.,UK Dementia Research Institute, The University of Edinburgh, Edinburgh, UK
| | - Maria Valdes Hernandez
- Centre for Clinical Brain Sciences, The University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH16 4SB, UK.,UK Dementia Research Institute, The University of Edinburgh, Edinburgh, UK
| | - Anna Heye
- Centre for Clinical Brain Sciences, The University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH16 4SB, UK.,UK Dementia Research Institute, The University of Edinburgh, Edinburgh, UK
| | - Paul A Armitage
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Stephen Makin
- Centre for Clinical Brain Sciences, The University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH16 4SB, UK.,UK Dementia Research Institute, The University of Edinburgh, Edinburgh, UK.,Academic Section of Geriatric Medicine, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Francesca Chappell
- Centre for Clinical Brain Sciences, The University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH16 4SB, UK.,UK Dementia Research Institute, The University of Edinburgh, Edinburgh, UK
| | - Daniela Pinter
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Fergus Doubal
- Centre for Clinical Brain Sciences, The University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH16 4SB, UK.,UK Dementia Research Institute, The University of Edinburgh, Edinburgh, UK
| | | | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, The University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH16 4SB, UK. .,UK Dementia Research Institute, The University of Edinburgh, Edinburgh, UK.
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23
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Early renal dysfunction and fibroblast growth factor-23 in patients with small vessel disease-related stroke. Sci Rep 2019; 9:15410. [PMID: 31659218 PMCID: PMC6817845 DOI: 10.1038/s41598-019-51965-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 10/10/2019] [Indexed: 02/08/2023] Open
Abstract
Interactions between cerebral small vessel disease (CSVD) and renal dysfunction (RD) have been reported, but previous studies were mostly retrospective and limited to measurements of estimated glomerular filtration rate (eGFR). In this prospective, longitudinal study of patients with CSVD-related recent small subcortical infarcts (RSSI), we aimed at a comprehensive exploration of markers of early RD and their association with microvascular brain damage. We investigated 101 stroke patients (mean age: 60.2 ± 10.7 years) with an MRI-confirmed RSSI who underwent follow-up brain MRI 15 months post-stroke. Besides serum creatinine and eGFR, we assessed urinary Albumin-Creatinine Ratio and fibroblast growth factor-23 (FGF-23). RD was classified according to recent Kidney Disease: Improving Global Outcomes criteria. We identified 24 patients with RD, only six patients revealed an eGFR <60 mL/min/1.73 m². RSSI patients with RD more often had severe white matter hyperintensities (WMH, 58% vs. 36%, p = 0.04). CSVD progression was not dependent on RD. However, patients in the highest FGF-23 quartile more frequently had new microangiopathic lesions on follow-up MRI (50% vs. 21%, p = 0.03). Early RD was found in a quarter of RSSI patients and associated with WMH severity, but not CSVD progression. High FGF-23 indicates an increased risk for ongoing microvascular brain damage, warranting further studies.
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24
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Wiegertjes K, Ter Telgte A, Oliveira PB, van Leijsen EMC, Bergkamp MI, van Uden IWM, Ghafoorian M, van der Holst HM, Norris DG, Platel B, Klijn CJM, Tuladhar AM, de Leeuw FE. The role of small diffusion-weighted imaging lesions in cerebral small vessel disease. Neurology 2019; 93:e1627-e1634. [PMID: 31530710 DOI: 10.1212/wnl.0000000000008364] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Accepted: 05/22/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To investigate the prevalence of asymptomatic diffusion-weighted imaging-positive (DWI+) lesions in individuals with cerebral small vessel disease (SVD) and identify their role in the origin of SVD markers on MRI. METHODS We included 503 individuals with SVD from the Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Imaging Cohort (RUN DMC) study (mean age 65.6 years [SD 8.8], 56.5% male) with 1.5T MRI in 2006 and, if available, follow-up MRI in 2011 and 2015. We screened DWI scans (n = 1,152) for DWI+ lesions, assessed lesion evolution on follow-up fluid-attenuated inversion recovery, T1 and T2* images, and examined the association between DWI+ lesions and annual SVD progression (white matter hyperintensities [WMH], lacunes, microbleeds). RESULTS We found 50 DWI+ lesions in 39 individuals on 1,152 DWI (3.4%). Individuals with DWI+ lesions were older (p = 0.025), more frequently had a history of hypertension (p = 0.021), and had a larger burden of preexisting SVD MRI markers (WMH, lacunes, microbleeds: all p < 0.001) compared to individuals without DWI+ lesions. Of the 23 DWI+ lesions with available follow-up MRI, 14 (61%) evolved into a WMH, 8 (35%) resulted in a cavity, and 1 (4%) was no longer visible. Presence of DWI+ lesions was significantly associated with annual WMH volume increase and yearly incidence of lacunes and microbleeds (all p < 0.001). CONCLUSION Over 3% of individuals with SVD have DWI+ lesions. Although DWI+ lesions play a role in the progression of SVD, they may not fully explain progression of SVD markers on MRI, suggesting that other factors than acute ischemia are at play.
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Affiliation(s)
- Kim Wiegertjes
- From the Department of Neurology (K.W., A.t.T., P.B.O., E.M.C.v.L., M.I.B., I.W.M.v.U., H.M.v.d.H., C.J.M.K., A.M.T., F.-E.d.L.) and Center for Cognitive Neuroimaging (D.G.N.), Donders Institute for Brain, Cognition and Behavior, and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Center; and Institute for Computing and Information Sciences (M.G.), Radboud University, Nijmegen, the Netherlands
| | - Annemieke Ter Telgte
- From the Department of Neurology (K.W., A.t.T., P.B.O., E.M.C.v.L., M.I.B., I.W.M.v.U., H.M.v.d.H., C.J.M.K., A.M.T., F.-E.d.L.) and Center for Cognitive Neuroimaging (D.G.N.), Donders Institute for Brain, Cognition and Behavior, and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Center; and Institute for Computing and Information Sciences (M.G.), Radboud University, Nijmegen, the Netherlands
| | - Pedro B Oliveira
- From the Department of Neurology (K.W., A.t.T., P.B.O., E.M.C.v.L., M.I.B., I.W.M.v.U., H.M.v.d.H., C.J.M.K., A.M.T., F.-E.d.L.) and Center for Cognitive Neuroimaging (D.G.N.), Donders Institute for Brain, Cognition and Behavior, and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Center; and Institute for Computing and Information Sciences (M.G.), Radboud University, Nijmegen, the Netherlands
| | - Esther M C van Leijsen
- From the Department of Neurology (K.W., A.t.T., P.B.O., E.M.C.v.L., M.I.B., I.W.M.v.U., H.M.v.d.H., C.J.M.K., A.M.T., F.-E.d.L.) and Center for Cognitive Neuroimaging (D.G.N.), Donders Institute for Brain, Cognition and Behavior, and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Center; and Institute for Computing and Information Sciences (M.G.), Radboud University, Nijmegen, the Netherlands
| | - Mayra I Bergkamp
- From the Department of Neurology (K.W., A.t.T., P.B.O., E.M.C.v.L., M.I.B., I.W.M.v.U., H.M.v.d.H., C.J.M.K., A.M.T., F.-E.d.L.) and Center for Cognitive Neuroimaging (D.G.N.), Donders Institute for Brain, Cognition and Behavior, and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Center; and Institute for Computing and Information Sciences (M.G.), Radboud University, Nijmegen, the Netherlands
| | - Ingeborg W M van Uden
- From the Department of Neurology (K.W., A.t.T., P.B.O., E.M.C.v.L., M.I.B., I.W.M.v.U., H.M.v.d.H., C.J.M.K., A.M.T., F.-E.d.L.) and Center for Cognitive Neuroimaging (D.G.N.), Donders Institute for Brain, Cognition and Behavior, and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Center; and Institute for Computing and Information Sciences (M.G.), Radboud University, Nijmegen, the Netherlands
| | - Mohsen Ghafoorian
- From the Department of Neurology (K.W., A.t.T., P.B.O., E.M.C.v.L., M.I.B., I.W.M.v.U., H.M.v.d.H., C.J.M.K., A.M.T., F.-E.d.L.) and Center for Cognitive Neuroimaging (D.G.N.), Donders Institute for Brain, Cognition and Behavior, and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Center; and Institute for Computing and Information Sciences (M.G.), Radboud University, Nijmegen, the Netherlands
| | - Helena M van der Holst
- From the Department of Neurology (K.W., A.t.T., P.B.O., E.M.C.v.L., M.I.B., I.W.M.v.U., H.M.v.d.H., C.J.M.K., A.M.T., F.-E.d.L.) and Center for Cognitive Neuroimaging (D.G.N.), Donders Institute for Brain, Cognition and Behavior, and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Center; and Institute for Computing and Information Sciences (M.G.), Radboud University, Nijmegen, the Netherlands
| | - David G Norris
- From the Department of Neurology (K.W., A.t.T., P.B.O., E.M.C.v.L., M.I.B., I.W.M.v.U., H.M.v.d.H., C.J.M.K., A.M.T., F.-E.d.L.) and Center for Cognitive Neuroimaging (D.G.N.), Donders Institute for Brain, Cognition and Behavior, and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Center; and Institute for Computing and Information Sciences (M.G.), Radboud University, Nijmegen, the Netherlands
| | - Bram Platel
- From the Department of Neurology (K.W., A.t.T., P.B.O., E.M.C.v.L., M.I.B., I.W.M.v.U., H.M.v.d.H., C.J.M.K., A.M.T., F.-E.d.L.) and Center for Cognitive Neuroimaging (D.G.N.), Donders Institute for Brain, Cognition and Behavior, and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Center; and Institute for Computing and Information Sciences (M.G.), Radboud University, Nijmegen, the Netherlands
| | - Catharina J M Klijn
- From the Department of Neurology (K.W., A.t.T., P.B.O., E.M.C.v.L., M.I.B., I.W.M.v.U., H.M.v.d.H., C.J.M.K., A.M.T., F.-E.d.L.) and Center for Cognitive Neuroimaging (D.G.N.), Donders Institute for Brain, Cognition and Behavior, and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Center; and Institute for Computing and Information Sciences (M.G.), Radboud University, Nijmegen, the Netherlands
| | - Anil M Tuladhar
- From the Department of Neurology (K.W., A.t.T., P.B.O., E.M.C.v.L., M.I.B., I.W.M.v.U., H.M.v.d.H., C.J.M.K., A.M.T., F.-E.d.L.) and Center for Cognitive Neuroimaging (D.G.N.), Donders Institute for Brain, Cognition and Behavior, and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Center; and Institute for Computing and Information Sciences (M.G.), Radboud University, Nijmegen, the Netherlands
| | - Frank-Erik de Leeuw
- From the Department of Neurology (K.W., A.t.T., P.B.O., E.M.C.v.L., M.I.B., I.W.M.v.U., H.M.v.d.H., C.J.M.K., A.M.T., F.-E.d.L.) and Center for Cognitive Neuroimaging (D.G.N.), Donders Institute for Brain, Cognition and Behavior, and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Center; and Institute for Computing and Information Sciences (M.G.), Radboud University, Nijmegen, the Netherlands.
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25
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Ter Telgte A, Wiegertjes K, Gesierich B, Marques JP, Huebner M, de Klerk JJ, Schreuder FHBM, Araque Caballero MA, Kuijf HJ, Norris DG, Klijn CJM, Dichgans M, Tuladhar AM, Duering M, de Leeuw FE. Contribution of acute infarcts to cerebral small vessel disease progression. Ann Neurol 2019; 86:582-592. [PMID: 31340067 PMCID: PMC6771732 DOI: 10.1002/ana.25556] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 07/18/2019] [Accepted: 07/18/2019] [Indexed: 01/02/2023]
Abstract
Objective To determine the contribution of acute infarcts, evidenced by diffusion‐weighted imaging positive (DWI+) lesions, to progression of white matter hyperintensities (WMH) and other cerebral small vessel disease (SVD) markers. Methods We performed monthly 3T magnetic resonance imaging (MRI) for 10 consecutive months in 54 elderly individuals with SVD. MRI included high‐resolution multishell DWI, and 3‐dimensional fluid‐attenuated inversion recovery, T1, and susceptibility‐weighted imaging. We determined DWI+ lesion evolution, WMH progression rate (ml/mo), and number of incident lacunes and microbleeds, and calculated for each marker the proportion of progression explained by DWI+ lesions. Results We identified 39 DWI+ lesions on 21 of 472 DWI scans in 9 of 54 subjects. Of the 36 DWI+ lesions with follow‐up MRI, 2 evolved into WMH, 4 evolved into a lacune (3 with cavity <3mm), 3 evolved into a microbleed, and 27 were not detectable on follow‐up. WMH volume increased at a median rate of 0.027 ml/mo (interquartile range = 0.005–0.073), but was not significantly higher in subjects with DWI+ lesions compared to those without (p = 0.195). Of the 2 DWI+ lesions evolving into WMH on follow‐up, one explained 23% of the total WMH volume increase in one subject, whereas the WMH regressed in the other subject. DWI+ lesions preceded 4 of 5 incident lacunes and 3 of 10 incident microbleeds. Interpretation DWI+ lesions explain only a small proportion of the total WMH progression. Hence, WMH progression seems to be mostly driven by factors other than acute infarcts. DWI+ lesions explain the majority of incident lacunes and small cavities, and almost one‐third of incident microbleeds, confirming that WMH, lacunes, and microbleeds, although heterogeneous on MRI, can have a common initial appearance on MRI. ANN NEUROL 2019;86:582–592
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Affiliation(s)
- Annemieke Ter Telgte
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Kim Wiegertjes
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Benno Gesierich
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - José P Marques
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Mathias Huebner
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Jabke J de Klerk
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Floris H B M Schreuder
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Miguel A Araque Caballero
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE Munich), Munich, Germany
| | - Hugo J Kuijf
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands
| | - David G Norris
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Catharina J M Klijn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE Munich), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Anil M Tuladhar
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
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26
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Cannistraro RJ, Badi M, Eidelman BH, Dickson DW, Middlebrooks EH, Meschia JF. CNS small vessel disease: A clinical review. Neurology 2019; 92:1146-1156. [PMID: 31142635 PMCID: PMC6598791 DOI: 10.1212/wnl.0000000000007654] [Citation(s) in RCA: 375] [Impact Index Per Article: 62.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Accepted: 03/13/2019] [Indexed: 11/15/2022] Open
Abstract
CNS small vessel disease (CSVD) causes 25% of strokes and contributes to 45% of dementia cases. Prevalence increases with age, affecting about 5% of people aged 50 years to almost 100% of people older than 90 years. Known causes and risk factors include age, hypertension, branch atheromatous disease, cerebral amyloid angiopathy, radiation exposure, immune-mediated vasculitides, certain infections, and several genetic diseases. CSVD can be asymptomatic; however, depending on location, lesions can cause mild cognitive dysfunction, dementia, mood disorders, motor and gait dysfunction, and urinary incontinence. CSVD is diagnosed on the basis of brain imaging biomarkers, including recent small subcortical infarcts, white matter hyperintensities, lacunes, cerebral microbleeds, enlarged perivascular spaces, and cerebral atrophy. Advanced imaging modalities can detect signs of disease even earlier than current standard imaging techniques. Diffusion tensor imaging can identify altered white matter connectivity, and blood oxygenation level-dependent imaging can identify decreased vascular reactivity. Pathogenesis is thought to begin with an etiologically specific insult, with or without genetic predisposition, which results in dysfunction of the neurovascular unit. Uncertainties regarding pathogenesis have delayed development of effective treatment. The most widely accepted approach to treatment is to intensively control well-established vascular risk factors, of which hypertension is the most important. With better understanding of pathogenesis, specific therapies may emerge. Early identification of pathologic characteristics with advanced imaging provides an opportunity to forestall progression before emergence of symptoms.
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Affiliation(s)
- Rocco J Cannistraro
- From the Department of Neurology (R.J.C., M.B., B.H.E., J.F.M.), Department of Laboratory Medicine and Pathology (D.W.D.), Department of Neuroscience (D.W.D.), and Department of Radiology (E.H.M.), Mayo Clinic, Jacksonville, FL
| | - Mohammed Badi
- From the Department of Neurology (R.J.C., M.B., B.H.E., J.F.M.), Department of Laboratory Medicine and Pathology (D.W.D.), Department of Neuroscience (D.W.D.), and Department of Radiology (E.H.M.), Mayo Clinic, Jacksonville, FL
| | - Benjamin H Eidelman
- From the Department of Neurology (R.J.C., M.B., B.H.E., J.F.M.), Department of Laboratory Medicine and Pathology (D.W.D.), Department of Neuroscience (D.W.D.), and Department of Radiology (E.H.M.), Mayo Clinic, Jacksonville, FL
| | - Dennis W Dickson
- From the Department of Neurology (R.J.C., M.B., B.H.E., J.F.M.), Department of Laboratory Medicine and Pathology (D.W.D.), Department of Neuroscience (D.W.D.), and Department of Radiology (E.H.M.), Mayo Clinic, Jacksonville, FL
| | - Erik H Middlebrooks
- From the Department of Neurology (R.J.C., M.B., B.H.E., J.F.M.), Department of Laboratory Medicine and Pathology (D.W.D.), Department of Neuroscience (D.W.D.), and Department of Radiology (E.H.M.), Mayo Clinic, Jacksonville, FL
| | - James F Meschia
- From the Department of Neurology (R.J.C., M.B., B.H.E., J.F.M.), Department of Laboratory Medicine and Pathology (D.W.D.), Department of Neuroscience (D.W.D.), and Department of Radiology (E.H.M.), Mayo Clinic, Jacksonville, FL.
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