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Saks DG, Sachdev PS. Monogenic causes of cerebral small vessel disease- models for vascular cognitive impairment and dementia? Curr Opin Psychiatry 2025; 38:112-118. [PMID: 39840612 PMCID: PMC11789596 DOI: 10.1097/yco.0000000000000978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2025]
Abstract
PURPOSE OF REVIEW Recent advancements in molecular biomarkers and therapeutic options for Alzheimer's disease have brought into focus the need for greater progress in the second most common cause of dementia, vascular cognitive impairment and dementia (VCID). We examine how the study of monogenic causes of VCID has contributed to the understanding of its pathophysiology and potential biomarker and treatment research. RECENT FINDINGS It is widely accepted that conditions which disrupt the cerebral small vessels contribute to vascular pathologies including stroke and cerebral microbleeds, ultimately leading to vascular cognitive impairment and dementia. Among these conditions are a range of monogenic small vessel diseases (SVDs) such as CADASIL, CARASIL, Fabry disease and COL4A-related disorders. SUMMARY This review indicates the importance of furthering research into monogenic SVDs in order to gain insight into the pathomechanisms of VCID more broadly. Monogenic conditions are easier to model than sporadic VCID and can serve as a guide for identifying biomarkers for diagnosis, monitoring and intervention outcomes.
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Affiliation(s)
- Danit G. Saks
- Centre for Healthy Brain Ageing, University of New South Wales
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing, University of New South Wales
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, Australia
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Wurthmann S, Kastrup O, Wurthmann C, Scherbaum N, Roser P. [Treatment-refractory chronic depression in a CADASIL patient with a symptom-free somatic course: a case report]. FORTSCHRITTE DER NEUROLOGIE-PSYCHIATRIE 2025. [PMID: 39919799 DOI: 10.1055/a-2512-7605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2025]
Abstract
Depressive disorders are very common psychiatric disorders that are usually well treatable. However, special attention is required if the depressive symptoms do not improve despite guideline-compliant treatment and if brain structural changes can be detected on neuroimaging.We report on a genetically newly diagnosed 63-year-old patient with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) with a two-decade course of severe affective symptoms in the absence of classical somatic disease characteristics although we found a pathogenic variant in the EGFr 4 domain of the NOTCH3 protein.CADASIL is a rare inherited disease of the small cerebral vessels which is caused by mutations in the NOTCH3 gene. The disease typically begins in young adulthood and is characterized by ischemic strokes, migraine-like headaches, psychiatric disturbance, and cognitive decline. Pathogenic variants in NOTCH3 EGFr domains 1-6 are associated with a more severe somatic phenotype. Our case report highlights the phenotypic heterogeneity of CADASIL with only psychiatric symptoms despite mutation within EGFr domain 4; therefore, CADASIL should be considered in the presence of affective disorders, lack of response to antidepressants and typical MR changes.
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Affiliation(s)
- Sebastian Wurthmann
- LVR-Universitätsklinik Essen, Klinik für Psychiatrie und Psychotherapie Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Universität Duisburg-Essen, Essen, Germany
| | - Oliver Kastrup
- Philippusstift Essen, Klinik für Neurologie und klinische Neurophysiologie, Essen, Germany
| | - Cornelius Wurthmann
- Philippusstift Essen, Klinik für Psychiatrie, Psychotherapie und Psychosomatische Medizin, Essen, Germany
| | - Norbert Scherbaum
- LVR-Universitätsklinik Essen, Klinik für Psychiatrie und Psychotherapie Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Universität Duisburg-Essen, Essen, Germany
| | - Patrik Roser
- LVR-Universitätsklinik Essen, Klinik für Psychiatrie und Psychotherapie Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Universität Duisburg-Essen, Essen, Germany
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Gravesteijn G, Rutten JW, Cerfontaine MN, Hack RJ, Liao YC, Jolly AA, Guey S, Hsu SL, Park JY, Yuan Y, Kopczak A, Rifino N, Neilson SJ, Poggesi A, Shourav MMI, Saito S, Ishiyama H, Domínguez Mayoral A, Nogueira R, Muiño E, Andersen P, De Stefano N, Santo G, Sukhonpanich N, Mele F, Park A, Lee JS, Rodríguez-Girondo M, Vonk SJJ, Brodtmann A, Börjesson-Hanson A, Pantoni L, Fernández-Cadenas I, Silva AR, Montanaro VVA, Kalaria RN, Lopergolo D, Ihara M, Meschia JF, Muir KW, Bersano A, Pescini F, Duering M, Choi JC, Ling C, Kim H, Markus HS, Chabriat H, Lee YC, Lesnik Oberstein SAJ. Disease Severity Staging System for NOTCH3-Associated Small Vessel Disease, Including CADASIL. JAMA Neurol 2025; 82:49-60. [PMID: 39610302 DOI: 10.1001/jamaneurol.2024.4487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2024]
Abstract
Importance Typical cysteine-altering NOTCH3 (NOTCH3cys) variants are highly prevalent (approximately 1 in 300 individuals) and are associated with a broad spectrum of small vessel disease (SVD), ranging from early-onset stroke and dementia (cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy [CADASIL]) to nonpenetrance. A staging system that captures the full NOTCH3-SVD severity spectrum is needed and currently lacking. Objective To design a simple disease severity staging system that captures the broad clinicoradiological NOTCH3-SVD severity spectrum. Design, Setting, and Participants A cohort study was performed in which the NOTCH3-SVD severity staging system was developed using a discovery cohort (2019-2020) and validated in independent international CADASIL cohorts (1999-2023) and the UK Biobank. Clinical and imaging data were collected from participants originating from 23 international CADASIL cohorts and from the UK Biobank. Eligibility criteria were presence of a NOTCH3cys variant, availability of brain magnetic resonance imaging, and modified Rankin Scale score. The discovery cohort consisted of 195 NOTCH3cys-positive cases from families with CADASIL; the validation set included 1713 NOTCH3cys-positive cases from 15 countries. The UK Biobank cohort consisted of 101 NOTCH3cys-positive individuals. Data from 2-year (2019-2023) and 18-year (1999-2017) follow-up studies were also analyzed. Data analysis was performed from July 2023 to August 2024. Main Outcomes and Measures Percentage of cases following the sequence of events of the NOTCH3-SVD stages, and the association between the stages and ischemic stroke, intracerebral hemorrhage, global cognition, processing speed, brain volume, brain microstructural damage, and serum neurofilament light chain (NfL) level. Results The NOTCH3-SVD staging system encompasses 9 disease stages or substages, ranging from stage 0 (premanifest stage) to stage 4B (end stage). Of all 1908 cases, which included 195 in the discovery cohort (mean [SD] age, 52.4 [12.2] years) and 1713 in the validation cohorts (mean [SD] age, 53.1 [13.0] years), 1789 (94%) followed the sequence of events defined by the NOTCH3-SVD staging system. The NOTCH3-SVD stages were associated with neuroimaging outcomes in the NOTCH3cys-positive cases in the CADASIL cohorts and in the UK Biobank and with cognitive outcomes and serum NfL level in cases from the CADASIL cohorts. The NOTCH3-SVD staging system captured disease progression and was associated with 18-year survival. Conclusions and Relevance The NOTCH3-SVD staging system captures the full disease spectrum, from asymptomatic individuals with a NOTCH3cys variant to patients with end-stage disease. The NOTCH3-SVD staging system is a simple but effective tool for uniform disease staging in the clinic and in research.
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Affiliation(s)
- Gido Gravesteijn
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Julie W Rutten
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Minne N Cerfontaine
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Remco J Hack
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Yi-Chu Liao
- Department of Neurology, Taipei Veterans General Hospital, Taipei, Taiwan
- Department of Neurology, Brain Research Center, and Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Amy A Jolly
- Stroke Research Group, Department of Clinical Neurosciences, Cambridge Biomedical Campus, University of Cambridge, Cambridge, United Kingdom
| | - Stéphanie Guey
- Centre NeuroVasculaire Translationnel and Centre de Référence des Maladies Vasculaires Rares du Cerveau et de L'Oeil, Lariboisière Hospital and Université Paris-Cité, Paris, France
- Institut National de la Santé et de la Recherche Médicale, Unit 1141 NeuroDiderot, Paris, France
| | - Shao-Lun Hsu
- Department of Neurology, Brain Research Center, and Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Jae-Young Park
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Yun Yuan
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Anna Kopczak
- Institute for Stroke and Dementia Research, University Hospital of Ludwig-Maximilians-University Munich, Munich, Germany
| | - Nicola Rifino
- Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Sam J Neilson
- Centre for Stroke & Brain Imaging, University of Glasgow, Glasgow, United Kingdom
| | - Anna Poggesi
- Stroke Unit, Careggi University Hospital, Florence, Italy
- Dipartimento di Neuroscienze, Psicologia, Area del Farmaco e Salute del Bambino, University of Florence, Florence, Italy
| | | | - Satoshi Saito
- Department of Neurology, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Hiroyuki Ishiyama
- Department of Neurology, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Ana Domínguez Mayoral
- Unidad de Enfermedades Neurovasculares Infrecuentes, Hospital Virgen Macarena, Sevilla, Spain
| | - Renata Nogueira
- Department of Neurology, Hospital SARAH Kubitschek, Rio de Janeiro, Brazil
| | - Elena Muiño
- Stroke Pharmacogenomics and Genetics Group, Institut de Recerca Sant Pau, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Pia Andersen
- Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy
| | - Gustavo Santo
- Department of Neurology, University Hospital of Coimbra, Unidade Local de Saúde de Coimbra, Coimbra, Portugal
| | - Nontapat Sukhonpanich
- Stroke Research Group, Department of Clinical Neurosciences, Cambridge Biomedical Campus, University of Cambridge, Cambridge, United Kingdom
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Francesco Mele
- Neurology and Stroke Unit, Luigi Sacco University Hospital, Milan, Italy
| | - Ashley Park
- Department of Neurology, Royal Melbourne Hospital, Melbourne, Australia
| | - Jung Seok Lee
- College of Medicine, Jeju National University, Jeju, South Korea
| | - Mar Rodríguez-Girondo
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Amy Brodtmann
- School of Translational Medicine, Monash University, Melbourne, Australia
| | - Anne Börjesson-Hanson
- Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Leonardo Pantoni
- Neuroscience Research Center, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Israel Fernández-Cadenas
- Stroke Pharmacogenomics and Genetics Group, Institut de Recerca Sant Pau, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Ana Rita Silva
- Center for Research in Neuropsychology and Cognitive Behavioral Interventions, University of Coimbra, Coimbra, Portugal
| | | | - Rajesh N Kalaria
- Translational and Clinical Research Institute, Newcastle University, Newcastle, United Kingdom
| | - Diego Lopergolo
- Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy
| | - Masafumi Ihara
- Department of Neurology, National Cerebral and Cardiovascular Center, Suita, Japan
| | | | - Keith W Muir
- School of Cardiovascular & Metabolic Health, University of Glasgow, Glasgow, United Kingdom
| | - Anna Bersano
- Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Francesca Pescini
- Stroke Unit, Careggi University Hospital, Florence, Italy
- Dipartimento di Neuroscienze, Psicologia, Area del Farmaco e Salute del Bambino, University of Florence, Florence, Italy
| | - Marco Duering
- Institute for Stroke and Dementia Research, University Hospital of Ludwig-Maximilians-University Munich, Munich, Germany
- Medical Image Analysis Center and Translational Imaging in Neurology, Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Jay Chol Choi
- College of Medicine, Jeju National University, Jeju, South Korea
| | - Chen Ling
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Hyunjin Kim
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Hugh S Markus
- Stroke Research Group, Department of Clinical Neurosciences, Cambridge Biomedical Campus, University of Cambridge, Cambridge, United Kingdom
| | - Hugues Chabriat
- Centre NeuroVasculaire Translationnel and Centre de Référence des Maladies Vasculaires Rares du Cerveau et de L'Oeil, Lariboisière Hospital and Université Paris-Cité, Paris, France
- Institut National de la Santé et de la Recherche Médicale, Unit 1141 NeuroDiderot, Paris, France
| | - Yi-Chung Lee
- Department of Neurology, Taipei Veterans General Hospital, Taipei, Taiwan
- Department of Neurology, Brain Research Center, and Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Center for Intelligent Drug Systems and Smart Bio-Devices, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
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Sukhonpanich N, Koohi F, Jolly AA, Markus HS. Changes in the prognosis of CADASIL over time: a 23-year study in 555 individuals. J Neurol Neurosurg Psychiatry 2024:jnnp-2024-334823. [PMID: 39547790 DOI: 10.1136/jnnp-2024-334823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Accepted: 10/29/2024] [Indexed: 11/17/2024]
Abstract
BACKGROUND Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is the most common monogenic form of stroke and is associated with early-onset stroke and dementia. Whether its clinical phenotype is becoming milder with better risk factor treatments and other care improvements is unknown. In a large longitudinal CADASIL cohort, we determined whether the prognosis has changed over 23 years. METHODS Patients were identified from the Cambridge CADASIL register and the UK Familial stroke study. Change in age at stroke over the time of recruitment was determined using linear mixed-effects model, and the impact of genetic and vascular risk factors on stroke and dementia risk was further evaluated using Cox proportional hazard regression. RESULTS A total of 555 patients with CADASIL were recruited between 2001 and 2023. The age of stroke onset significantly increased over time (p<0.001), with the mean age of stroke onset for patients recruited before 2016 (n=265) at 46.7±9.2 years and 51.6±9.5 years for those recruited since 2016 (n=290). Patients recruited since 2016 had lower risks of both stroke (HR 0.36, 95% CI 0.26 to 0.50, p<0.001) and dementia (HR 0.43, 95% CI 0.19 to 0.99, p=0.046) after adjusting for sex, hypertension history, smoking status, epidermal growth factor-like repeat position and calendar effect. CONCLUSIONS The clinical phenotype of CADASIL is improving. While this may be partly explained by reduced vascular risk factors such as smoking and the identification of milder cases, differences persisted after controlling for risk factors and mutation sites. These updated risk estimates should be used when counselling patients with CADASIL on prognosis.
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Affiliation(s)
- Nontapat Sukhonpanich
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, Cambridgeshire, UK
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Fatemeh Koohi
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, Cambridgeshire, UK
| | - Amy A Jolly
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, Cambridgeshire, UK
| | - Hugh S Markus
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, Cambridgeshire, UK
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Tung H, Chou CC, Chen HM, Chen YM, Wu YY, Chai JW, Chen JP, Chen SC, Chen HC, Lee WJ. White Matter Hyperintensities and Cognitive Functions in People With the R544C Variant of the NOTCH3 Gene Without Stroke or Dementia. Neurology 2024; 103:e209941. [PMID: 39374470 DOI: 10.1212/wnl.0000000000209941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/09/2024] Open
Abstract
BACKGROUND AND OBJECTIVES NOTCH3 pathologic variants cause cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), which presents with stroke and dementia and is characterized by white matter hyperintensities (WMHs) on brain MRI. The R544C variant is a common pathologic variant in Taiwan, but not all carriers exhibit significant symptoms. We investigated whether WMHs occur before clinical symptoms in carriers with pathogenic variants, examined factors associated with WMHs, and explored their relationship with cognitive functions. METHODS We enrolled 63 R544C carriers without overt clinical disease (WOCD) and 37 age-matched and sex-matched noncarriers as controls from the Taiwan Precision Medicine Initiative data set. All participants underwent clinical interviews, comprehensive neuropsychological assessments, and brain MRI. We calculated total and regional WMH volumes, determined the age at which WMHs began increasing in carriers, and examined the relationship between WMHs and neuropsychological performance. Factors associated with WMH volumes were analyzed using multivariable linear regression models. RESULTS Compared with controls, R544C carriers WOCD had increased WMH volume, except in the occipital and midbrain areas, and showed a rapid increase in WMHs starting at age 48. They scored lower on the Mini-Mental State Examination (median = 28.4 vs 29.0, p = 0.048), Montreal Cognitive Assessment (MoCA) (median = 28.3 vs 29.0, p = 0.013), and memory and executive function tests than controls. After adjusting for age, sex, and education, MoCA scores were associated with whole-brain (r = -0.387, padj = 0.008) and regional WMHs (all padj < 0.05) except in the midbrain area. Age (β = 0.034, 95% CI 0.021-0.046, p < 0.001), hypercholesterolemia (β = 0.375, 95% CI 0.097-0.653, p = 0.009), and the vascular risk factor (VRF) index (β = 0.132, 95% CI 0.032-0.242, p = 0.019) were associated with the WMH severity in carriers. DISCUSSION Our study revealed that WMHs are extensively distributed in R544C carriers WOCD. They exhibited a rapid increase in WMHs beginning at age 48, approximately 7 years earlier than the reported age at symptomatic onset. Age was the strongest predictive factor of WMHs, and VRF, particularly hypercholesterolemia, might be modifying factors of WMHs.
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Affiliation(s)
- Hsin Tung
- From the Department of Post-Baccalaureate Medicine (H.T., C.-C.C., Y.-M.C., W.-J.L.), College of Medicine, National Chung Hsing University; Center of Faculty Development (H.T.), Department of Medical Education, and Department of Neurology (H.T., W.-J.L.), Neurological Institute, Taichung Veterans General Hospital; Graduate Institute of Clinical Medicine (C.-C.C.), College of Medicine, National Taiwan University, Taipei; Department of Ophthalmology (C.-C.C.), Taichung Veterans General Hospital; School of Medicine (C.-C.C., Y.-M.C., H.-C.C.), National Yang Ming Chiao Tung University, Taipei; Center for Quantitative Imaging in Medicine (H.-M.C.), Department of Medical Research, Division of Allergy, Immunology and Rheumatology (Y.-M.C.), Department of Internal Medicine, and Department of Medical Research (Y.-M.C.), Taichung Veterans General Hospital; Institute of Biomedical Science and Rong Hsing Research Center for Translational Medicine & Program in Translational Medicine (Y.-M.C.), and Precision Medicine Research Center (Y.-M.C.), College of Medicine, National Chung Hsing University, Taichung; Department of Radiology (Y.-Y.W., J.-W.C., H.-C.C.), Taichung Veterans General Hospital; Department of Electrical Engineering (Y.-Y.W.), National Chung Hsing University, Taichung; Biostatistics Task Force of Taichung Veterans General Hospital (J.-P.C.), Taichung; Institute of Statistical Science (S.-C.C.), Academia Sinica, Taipei; Dementia Center (W.-J.L.), Taichung Veterans General Hospital; and Brain Research Center (W.-J.L.), National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chien-Chih Chou
- From the Department of Post-Baccalaureate Medicine (H.T., C.-C.C., Y.-M.C., W.-J.L.), College of Medicine, National Chung Hsing University; Center of Faculty Development (H.T.), Department of Medical Education, and Department of Neurology (H.T., W.-J.L.), Neurological Institute, Taichung Veterans General Hospital; Graduate Institute of Clinical Medicine (C.-C.C.), College of Medicine, National Taiwan University, Taipei; Department of Ophthalmology (C.-C.C.), Taichung Veterans General Hospital; School of Medicine (C.-C.C., Y.-M.C., H.-C.C.), National Yang Ming Chiao Tung University, Taipei; Center for Quantitative Imaging in Medicine (H.-M.C.), Department of Medical Research, Division of Allergy, Immunology and Rheumatology (Y.-M.C.), Department of Internal Medicine, and Department of Medical Research (Y.-M.C.), Taichung Veterans General Hospital; Institute of Biomedical Science and Rong Hsing Research Center for Translational Medicine & Program in Translational Medicine (Y.-M.C.), and Precision Medicine Research Center (Y.-M.C.), College of Medicine, National Chung Hsing University, Taichung; Department of Radiology (Y.-Y.W., J.-W.C., H.-C.C.), Taichung Veterans General Hospital; Department of Electrical Engineering (Y.-Y.W.), National Chung Hsing University, Taichung; Biostatistics Task Force of Taichung Veterans General Hospital (J.-P.C.), Taichung; Institute of Statistical Science (S.-C.C.), Academia Sinica, Taipei; Dementia Center (W.-J.L.), Taichung Veterans General Hospital; and Brain Research Center (W.-J.L.), National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Hsian-Min Chen
- From the Department of Post-Baccalaureate Medicine (H.T., C.-C.C., Y.-M.C., W.-J.L.), College of Medicine, National Chung Hsing University; Center of Faculty Development (H.T.), Department of Medical Education, and Department of Neurology (H.T., W.-J.L.), Neurological Institute, Taichung Veterans General Hospital; Graduate Institute of Clinical Medicine (C.-C.C.), College of Medicine, National Taiwan University, Taipei; Department of Ophthalmology (C.-C.C.), Taichung Veterans General Hospital; School of Medicine (C.-C.C., Y.-M.C., H.-C.C.), National Yang Ming Chiao Tung University, Taipei; Center for Quantitative Imaging in Medicine (H.-M.C.), Department of Medical Research, Division of Allergy, Immunology and Rheumatology (Y.-M.C.), Department of Internal Medicine, and Department of Medical Research (Y.-M.C.), Taichung Veterans General Hospital; Institute of Biomedical Science and Rong Hsing Research Center for Translational Medicine & Program in Translational Medicine (Y.-M.C.), and Precision Medicine Research Center (Y.-M.C.), College of Medicine, National Chung Hsing University, Taichung; Department of Radiology (Y.-Y.W., J.-W.C., H.-C.C.), Taichung Veterans General Hospital; Department of Electrical Engineering (Y.-Y.W.), National Chung Hsing University, Taichung; Biostatistics Task Force of Taichung Veterans General Hospital (J.-P.C.), Taichung; Institute of Statistical Science (S.-C.C.), Academia Sinica, Taipei; Dementia Center (W.-J.L.), Taichung Veterans General Hospital; and Brain Research Center (W.-J.L.), National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yi-Ming Chen
- From the Department of Post-Baccalaureate Medicine (H.T., C.-C.C., Y.-M.C., W.-J.L.), College of Medicine, National Chung Hsing University; Center of Faculty Development (H.T.), Department of Medical Education, and Department of Neurology (H.T., W.-J.L.), Neurological Institute, Taichung Veterans General Hospital; Graduate Institute of Clinical Medicine (C.-C.C.), College of Medicine, National Taiwan University, Taipei; Department of Ophthalmology (C.-C.C.), Taichung Veterans General Hospital; School of Medicine (C.-C.C., Y.-M.C., H.-C.C.), National Yang Ming Chiao Tung University, Taipei; Center for Quantitative Imaging in Medicine (H.-M.C.), Department of Medical Research, Division of Allergy, Immunology and Rheumatology (Y.-M.C.), Department of Internal Medicine, and Department of Medical Research (Y.-M.C.), Taichung Veterans General Hospital; Institute of Biomedical Science and Rong Hsing Research Center for Translational Medicine & Program in Translational Medicine (Y.-M.C.), and Precision Medicine Research Center (Y.-M.C.), College of Medicine, National Chung Hsing University, Taichung; Department of Radiology (Y.-Y.W., J.-W.C., H.-C.C.), Taichung Veterans General Hospital; Department of Electrical Engineering (Y.-Y.W.), National Chung Hsing University, Taichung; Biostatistics Task Force of Taichung Veterans General Hospital (J.-P.C.), Taichung; Institute of Statistical Science (S.-C.C.), Academia Sinica, Taipei; Dementia Center (W.-J.L.), Taichung Veterans General Hospital; and Brain Research Center (W.-J.L.), National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yi-Ying Wu
- From the Department of Post-Baccalaureate Medicine (H.T., C.-C.C., Y.-M.C., W.-J.L.), College of Medicine, National Chung Hsing University; Center of Faculty Development (H.T.), Department of Medical Education, and Department of Neurology (H.T., W.-J.L.), Neurological Institute, Taichung Veterans General Hospital; Graduate Institute of Clinical Medicine (C.-C.C.), College of Medicine, National Taiwan University, Taipei; Department of Ophthalmology (C.-C.C.), Taichung Veterans General Hospital; School of Medicine (C.-C.C., Y.-M.C., H.-C.C.), National Yang Ming Chiao Tung University, Taipei; Center for Quantitative Imaging in Medicine (H.-M.C.), Department of Medical Research, Division of Allergy, Immunology and Rheumatology (Y.-M.C.), Department of Internal Medicine, and Department of Medical Research (Y.-M.C.), Taichung Veterans General Hospital; Institute of Biomedical Science and Rong Hsing Research Center for Translational Medicine & Program in Translational Medicine (Y.-M.C.), and Precision Medicine Research Center (Y.-M.C.), College of Medicine, National Chung Hsing University, Taichung; Department of Radiology (Y.-Y.W., J.-W.C., H.-C.C.), Taichung Veterans General Hospital; Department of Electrical Engineering (Y.-Y.W.), National Chung Hsing University, Taichung; Biostatistics Task Force of Taichung Veterans General Hospital (J.-P.C.), Taichung; Institute of Statistical Science (S.-C.C.), Academia Sinica, Taipei; Dementia Center (W.-J.L.), Taichung Veterans General Hospital; and Brain Research Center (W.-J.L.), National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Jyh-Wen Chai
- From the Department of Post-Baccalaureate Medicine (H.T., C.-C.C., Y.-M.C., W.-J.L.), College of Medicine, National Chung Hsing University; Center of Faculty Development (H.T.), Department of Medical Education, and Department of Neurology (H.T., W.-J.L.), Neurological Institute, Taichung Veterans General Hospital; Graduate Institute of Clinical Medicine (C.-C.C.), College of Medicine, National Taiwan University, Taipei; Department of Ophthalmology (C.-C.C.), Taichung Veterans General Hospital; School of Medicine (C.-C.C., Y.-M.C., H.-C.C.), National Yang Ming Chiao Tung University, Taipei; Center for Quantitative Imaging in Medicine (H.-M.C.), Department of Medical Research, Division of Allergy, Immunology and Rheumatology (Y.-M.C.), Department of Internal Medicine, and Department of Medical Research (Y.-M.C.), Taichung Veterans General Hospital; Institute of Biomedical Science and Rong Hsing Research Center for Translational Medicine & Program in Translational Medicine (Y.-M.C.), and Precision Medicine Research Center (Y.-M.C.), College of Medicine, National Chung Hsing University, Taichung; Department of Radiology (Y.-Y.W., J.-W.C., H.-C.C.), Taichung Veterans General Hospital; Department of Electrical Engineering (Y.-Y.W.), National Chung Hsing University, Taichung; Biostatistics Task Force of Taichung Veterans General Hospital (J.-P.C.), Taichung; Institute of Statistical Science (S.-C.C.), Academia Sinica, Taipei; Dementia Center (W.-J.L.), Taichung Veterans General Hospital; and Brain Research Center (W.-J.L.), National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Jun-Peng Chen
- From the Department of Post-Baccalaureate Medicine (H.T., C.-C.C., Y.-M.C., W.-J.L.), College of Medicine, National Chung Hsing University; Center of Faculty Development (H.T.), Department of Medical Education, and Department of Neurology (H.T., W.-J.L.), Neurological Institute, Taichung Veterans General Hospital; Graduate Institute of Clinical Medicine (C.-C.C.), College of Medicine, National Taiwan University, Taipei; Department of Ophthalmology (C.-C.C.), Taichung Veterans General Hospital; School of Medicine (C.-C.C., Y.-M.C., H.-C.C.), National Yang Ming Chiao Tung University, Taipei; Center for Quantitative Imaging in Medicine (H.-M.C.), Department of Medical Research, Division of Allergy, Immunology and Rheumatology (Y.-M.C.), Department of Internal Medicine, and Department of Medical Research (Y.-M.C.), Taichung Veterans General Hospital; Institute of Biomedical Science and Rong Hsing Research Center for Translational Medicine & Program in Translational Medicine (Y.-M.C.), and Precision Medicine Research Center (Y.-M.C.), College of Medicine, National Chung Hsing University, Taichung; Department of Radiology (Y.-Y.W., J.-W.C., H.-C.C.), Taichung Veterans General Hospital; Department of Electrical Engineering (Y.-Y.W.), National Chung Hsing University, Taichung; Biostatistics Task Force of Taichung Veterans General Hospital (J.-P.C.), Taichung; Institute of Statistical Science (S.-C.C.), Academia Sinica, Taipei; Dementia Center (W.-J.L.), Taichung Veterans General Hospital; and Brain Research Center (W.-J.L.), National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Shu-Chun Chen
- From the Department of Post-Baccalaureate Medicine (H.T., C.-C.C., Y.-M.C., W.-J.L.), College of Medicine, National Chung Hsing University; Center of Faculty Development (H.T.), Department of Medical Education, and Department of Neurology (H.T., W.-J.L.), Neurological Institute, Taichung Veterans General Hospital; Graduate Institute of Clinical Medicine (C.-C.C.), College of Medicine, National Taiwan University, Taipei; Department of Ophthalmology (C.-C.C.), Taichung Veterans General Hospital; School of Medicine (C.-C.C., Y.-M.C., H.-C.C.), National Yang Ming Chiao Tung University, Taipei; Center for Quantitative Imaging in Medicine (H.-M.C.), Department of Medical Research, Division of Allergy, Immunology and Rheumatology (Y.-M.C.), Department of Internal Medicine, and Department of Medical Research (Y.-M.C.), Taichung Veterans General Hospital; Institute of Biomedical Science and Rong Hsing Research Center for Translational Medicine & Program in Translational Medicine (Y.-M.C.), and Precision Medicine Research Center (Y.-M.C.), College of Medicine, National Chung Hsing University, Taichung; Department of Radiology (Y.-Y.W., J.-W.C., H.-C.C.), Taichung Veterans General Hospital; Department of Electrical Engineering (Y.-Y.W.), National Chung Hsing University, Taichung; Biostatistics Task Force of Taichung Veterans General Hospital (J.-P.C.), Taichung; Institute of Statistical Science (S.-C.C.), Academia Sinica, Taipei; Dementia Center (W.-J.L.), Taichung Veterans General Hospital; and Brain Research Center (W.-J.L.), National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Hung-Chieh Chen
- From the Department of Post-Baccalaureate Medicine (H.T., C.-C.C., Y.-M.C., W.-J.L.), College of Medicine, National Chung Hsing University; Center of Faculty Development (H.T.), Department of Medical Education, and Department of Neurology (H.T., W.-J.L.), Neurological Institute, Taichung Veterans General Hospital; Graduate Institute of Clinical Medicine (C.-C.C.), College of Medicine, National Taiwan University, Taipei; Department of Ophthalmology (C.-C.C.), Taichung Veterans General Hospital; School of Medicine (C.-C.C., Y.-M.C., H.-C.C.), National Yang Ming Chiao Tung University, Taipei; Center for Quantitative Imaging in Medicine (H.-M.C.), Department of Medical Research, Division of Allergy, Immunology and Rheumatology (Y.-M.C.), Department of Internal Medicine, and Department of Medical Research (Y.-M.C.), Taichung Veterans General Hospital; Institute of Biomedical Science and Rong Hsing Research Center for Translational Medicine & Program in Translational Medicine (Y.-M.C.), and Precision Medicine Research Center (Y.-M.C.), College of Medicine, National Chung Hsing University, Taichung; Department of Radiology (Y.-Y.W., J.-W.C., H.-C.C.), Taichung Veterans General Hospital; Department of Electrical Engineering (Y.-Y.W.), National Chung Hsing University, Taichung; Biostatistics Task Force of Taichung Veterans General Hospital (J.-P.C.), Taichung; Institute of Statistical Science (S.-C.C.), Academia Sinica, Taipei; Dementia Center (W.-J.L.), Taichung Veterans General Hospital; and Brain Research Center (W.-J.L.), National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Wei-Ju Lee
- From the Department of Post-Baccalaureate Medicine (H.T., C.-C.C., Y.-M.C., W.-J.L.), College of Medicine, National Chung Hsing University; Center of Faculty Development (H.T.), Department of Medical Education, and Department of Neurology (H.T., W.-J.L.), Neurological Institute, Taichung Veterans General Hospital; Graduate Institute of Clinical Medicine (C.-C.C.), College of Medicine, National Taiwan University, Taipei; Department of Ophthalmology (C.-C.C.), Taichung Veterans General Hospital; School of Medicine (C.-C.C., Y.-M.C., H.-C.C.), National Yang Ming Chiao Tung University, Taipei; Center for Quantitative Imaging in Medicine (H.-M.C.), Department of Medical Research, Division of Allergy, Immunology and Rheumatology (Y.-M.C.), Department of Internal Medicine, and Department of Medical Research (Y.-M.C.), Taichung Veterans General Hospital; Institute of Biomedical Science and Rong Hsing Research Center for Translational Medicine & Program in Translational Medicine (Y.-M.C.), and Precision Medicine Research Center (Y.-M.C.), College of Medicine, National Chung Hsing University, Taichung; Department of Radiology (Y.-Y.W., J.-W.C., H.-C.C.), Taichung Veterans General Hospital; Department of Electrical Engineering (Y.-Y.W.), National Chung Hsing University, Taichung; Biostatistics Task Force of Taichung Veterans General Hospital (J.-P.C.), Taichung; Institute of Statistical Science (S.-C.C.), Academia Sinica, Taipei; Dementia Center (W.-J.L.), Taichung Veterans General Hospital; and Brain Research Center (W.-J.L.), National Yang Ming Chiao Tung University, Taipei, Taiwan
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6
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Liang CM, Lee W, Chou CC, Tung H, Chen HC, Chen HM, Lee WJ, Chen YM. Nailfold capillary measurements correlated to NOTCH3 R544C mutation in preclinical CADASIL patients. J Neurol Sci 2024; 462:123109. [PMID: 38941707 DOI: 10.1016/j.jns.2024.123109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 05/23/2024] [Accepted: 06/22/2024] [Indexed: 06/30/2024]
Abstract
BACKGROUND Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL) is a hereditary disease caused by NOTCH3 mutation. Nailfold capillaroscopy is a non-invasive technique typically used for rheumatic diseases. It has potential in other conditions linked to vascular pathology. However, capillaroscopy in CADASIL has not been explored. This study aims to investigate whether capillaroscopy measurements can correlate with brain vascular changes in preclinical CADASIL patients, specifically those with NOTCH3 mutation. METHODS This study included 69 participants from the Taiwan Precision Medicine Initiative (TPMI) dataset who visited Taichung Veterans General Hospital from January to December 2022. All individuals underwent genetic studies, brain imaging and nailfold capillaroscopy. The Mann-Whitney U test was used to compare results of brain imaging between carriers and controls. It was also used to compare measurements in nailfold capillaroscopy within each group. Spearman Rank Correlation Analysis was used to explore the relationship between capillary measurements and brain MRI results. RESULTS White matter hyperintensities (WMH) expression was positively correlated with capillary dimension and negatively correlated with density. Our results presented that R544C carriers exhibited a diffuse increase in WMH (p < 0.001) and a global reduction in gray matter volume but preserved in specific areas. The white matter lesion scores in all brain regions were higher in the mutation carriers than the controls. (p < 0.001). CONCLUSION This research highlights the association of nailfold capillaroscopy findings with white matter lesions in preclinical CADASIL patients. Capillaroscopy guides an effective screening strategy in individuals with NOTCH3 mutations.
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Affiliation(s)
- Chun-Min Liang
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Wei Lee
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Chien-Chih Chou
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan; Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan; Department of Ophthalmology, Taichung Veterans General Hospital, Taichung, Taiwan; School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Hsin Tung
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan; Center of Faculty Development, Taichung Veterans General Hospital, Taichung, Taiwan; Neurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Hung-Chieh Chen
- School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Division of Neuroradiology, Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Hsian-Min Chen
- Center for Quantitative Imaging in Medicine, Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Wei-Ju Lee
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan; Neurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan; Dementia Center, Taichung Veterans General Hospital, Taichung, Taiwan; Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yi-Ming Chen
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan; School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Division of Allergy, Immunology, and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan; Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan; Institute of Biomedical Science and Rong Hsing Research Center for Translational Medicine, National Chung Hsing University, Taichung, Taiwan; Precision Medicine Research Center, College of Medicine, National Chung Hsing University, Taichung, Taiwan.
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7
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Huang X, Qiu P, Ji H, Shi Y, Zhang L, Wang L, Mei L, Li P. Preimplantation Genetic Testing Inhibits the Transmission of Pathogenic Variants Associated With Cerebral White Matter Disease. Cureus 2024; 16:e65164. [PMID: 39176342 PMCID: PMC11339631 DOI: 10.7759/cureus.65164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/23/2024] [Indexed: 08/24/2024] Open
Abstract
Hereditary white matter disease is a series of progressive genetic diseases that mainly affect the white matter of the central nervous system. The development of molecular genetics enables the clinical diagnosis, carrier detection, and prenatal diagnosis of hereditary white matter disease. Here, we block the transmission of pathogenic variants in ABCD1 and NOTCH3 in a family with cerebral white matter disease via preimplantation genetic testing (PGT). Pathogenic genes were identified based on clinical manifestations, genetic background, and the results of targeted gene capture sequencing. A blastocyst biopsy was performed, and multiple annealing and looping-based amplification (MALBAC), next-generation sequencing (NGS), and single nucleotide polymorphism (SNP) arrays were used to analyze ploidy and the state of the gene mutations. The proband (III:1) had hemizygous mutations in ABCD1 (c.323C>A (p.Ser108 *) and c.775C>T (p.Arg259Trp)) and heterozygous mutations in NOTCH3 (c.1630C>T (p.Arg544Cys)), which were maternally inherited (II:2). After genetic analysis, a euploid blastocyst without ABCD1 and NOTCH3 variations was transferred. A healthy male baby was born at full term, and the results of prenatal diagnosis by amniocentesis in the second trimester verified the results of PGT. To our knowledge, this is the first report of simultaneously blocking the transmission of pathogenic variants in ABCD1 and NOTCH3 via PGT. This report highlights the feasibility and effectiveness of PGT in preventing cerebral adrenoleukodystrophy (cALD) and cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) and provides valuable insights for the diagnosis and treatment of similar cases.
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Affiliation(s)
- Xianjing Huang
- Department of Reproductive Medicine, The Affiliated Women and Children's Hospital of Xiamen University, Xiamen, CHN
- Xiamen Key Laboratory of Reproduction and Genetics, The Affiliated Women and Children's Hospital of Xiamen University, Xiamen, CHN
| | - Pingping Qiu
- Department of Reproductive Medicine, The Affiliated Women and Children's Hospital of Xiamen University, Xiamen, CHN
- Xiamen Key Laboratory of Reproduction and Genetics, The Affiliated Women and Children's Hospital of Xiamen University, Xiamen, CHN
| | - Hong Ji
- Department of Reproductive Medicine, The Affiliated Women and Children's Hospital of Xiamen University, Xiamen, CHN
- Xiamen Key Laboratory of Reproduction and Genetics, The Affiliated Women and Children's Hospital of Xiamen University, Xiamen, CHN
| | - Yingying Shi
- Department of Reproductive Medicine, The Affiliated Women and Children's Hospital of Xiamen University, Xiamen, CHN
- Xiamen Key Laboratory of Reproduction and Genetics, The Affiliated Women and Children's Hospital of Xiamen University, Xiamen, CHN
| | - Ling Zhang
- Department of Reproductive Medicine, The Affiliated Women and Children's Hospital of Xiamen University, Xiamen, CHN
- Xiamen Key Laboratory of Reproduction and Genetics, The Affiliated Women and Children's Hospital of Xiamen University, Xiamen, CHN
| | - Longmei Wang
- Department of Reproductive Medicine, The Affiliated Women and Children's Hospital of Xiamen University, Xiamen, CHN
- Xiamen Key Laboratory of Reproduction and Genetics, The Affiliated Women and Children's Hospital of Xiamen University, Xiamen, CHN
| | - Libin Mei
- Department of Reproductive Medicine, The Affiliated Women and Children's Hospital of Xiamen University, Xiamen, CHN
- Xiamen Key Laboratory of Reproduction and Genetics, The Affiliated Women and Children's Hospital of Xiamen University, Xiamen, CHN
| | - Ping Li
- Department of Reproductive Medicine, The Affiliated Women and Children's Hospital of Xiamen University, Xiamen, CHN
- Xiamen Key Laboratory of Reproduction and Genetics, The Affiliated Women and Children's Hospital of Xiamen University, Xiamen, CHN
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8
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Cerfontaine MN, Hack RJ, Gesierich B, Duering M, Witjes-Ané MNW, Rodríguez-Girondo M, Gravesteijn G, Rutten J, Lesnik Oberstein SAJ. Association of NOTCH3 Variant Risk Category With 2-Year Clinical and Radiologic Small Vessel Disease Progression in Patients With CADASIL. Neurology 2024; 102:e209310. [PMID: 38713890 PMCID: PMC11177591 DOI: 10.1212/wnl.0000000000209310] [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: 12/12/2023] [Accepted: 02/01/2024] [Indexed: 05/09/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Pathogenic variants in NOTCH3 are the main cause of hereditary cerebral small vessel disease (SVD). SVD-associated NOTCH3 variants have recently been categorized into high risk (HR), moderate risk (MR), or low risk (LR) for developing early-onset severe SVD. The most severe NOTCH3-associated SVD phenotype is also known as cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). We aimed to investigate whether NOTCH3 variant risk category is associated with 2-year progression rate of SVD clinical and neuroimaging outcomes in CADASIL. METHODS A single-center prospective 2-year follow-up study was performed of patients with CADASIL. Clinical outcomes were incident stroke, disability (modified Rankin Scale), and executive function (Trail Making Test B given A t-scores). Neuroimaging outcomes were mean skeletonized mean diffusivity (MSMD), normalized white matter hyperintensity volume (nWMHv), normalized lacune volume (nLV), and brain parenchymal fraction (BPF). Cox regression and mixed-effect models, adjusted for age, sex, and cardiovascular risk factors, were used to study 2-year changes in outcomes and differences in disease progression between patients with HR-NOTCH3 and MR-NOTCH3 variants. RESULTS One hundred sixty-two patients with HR (n = 90), MR (n = 67), and LR (n = 5) NOTCH3 variants were included. For the entire cohort, there was 2-year mean progression for MSMD (β = 0.20, 95% CI 0.17-0.23, p = 7.0 × 10-24), nLV (β = 0.13, 95% CI 0.080-0.19, p = 2.1 × 10-6), nWMHv (β = 0.092, 95% CI 0.075-0.11, p = 8.8 × 10-20), and BPF (β = -0.22, 95% CI -0.26 to -0.19, p = 3.2 × 10-22), as well as an increase in disability (p = 0.002) and decline of executive function (β = -0.15, 95% CI -0.30 to -3.4 × 10-5, p = 0.05). The HR-NOTCH3 group had a higher probability of 2-year incident stroke (hazard ratio 4.3, 95% CI 1.4-13.5, p = 0.011), and a higher increase in MSMD (β = 0.074, 95% CI 0.013-0.14, p = 0.017) and nLV (β = 0.14, 95% CI 0.034-0.24, p = 0.0089) than the MR-NOTCH3 group. Subgroup analyses showed significant 2-year progression of MSMD in young (n = 17, β = 0.014, 95% CI 0.0093-0.019, p = 1.4 × 10-5) and premanifest (n = 24, β = 0.012, 95% CI 0.0082-0.016, p = 1.1 × 10-6) individuals. DISCUSSION In a trial-sensitive time span of 2 years, we found that patients with HR-NOTCH3 variants have a significantly faster progression of major clinical and neuroimaging outcomes, compared with patients with MR-NOTCH3 variants. This has important implications for clinical trial design and disease prediction and monitoring in the clinic. Moreover, we show that MSMD is a promising outcome measure for trials enrolling premanifest individuals.
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Affiliation(s)
- Minne N Cerfontaine
- From the Departments of Clinical Genetics (M.N.C., R.J.H., G.G., J.R., S.A.J.L.O.), Geriatrics and Psychiatrics (M.-N.W.W.-A.), and Medical Statistics (M.R.-G.), Leiden University Medical Center, the Netherlands; and Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering (B.G., M.D.), University of Basel, Switzerland
| | - Remco J Hack
- From the Departments of Clinical Genetics (M.N.C., R.J.H., G.G., J.R., S.A.J.L.O.), Geriatrics and Psychiatrics (M.-N.W.W.-A.), and Medical Statistics (M.R.-G.), Leiden University Medical Center, the Netherlands; and Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering (B.G., M.D.), University of Basel, Switzerland
| | - Benno Gesierich
- From the Departments of Clinical Genetics (M.N.C., R.J.H., G.G., J.R., S.A.J.L.O.), Geriatrics and Psychiatrics (M.-N.W.W.-A.), and Medical Statistics (M.R.-G.), Leiden University Medical Center, the Netherlands; and Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering (B.G., M.D.), University of Basel, Switzerland
| | - Marco Duering
- From the Departments of Clinical Genetics (M.N.C., R.J.H., G.G., J.R., S.A.J.L.O.), Geriatrics and Psychiatrics (M.-N.W.W.-A.), and Medical Statistics (M.R.-G.), Leiden University Medical Center, the Netherlands; and Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering (B.G., M.D.), University of Basel, Switzerland
| | - Marie-Noëlle W Witjes-Ané
- From the Departments of Clinical Genetics (M.N.C., R.J.H., G.G., J.R., S.A.J.L.O.), Geriatrics and Psychiatrics (M.-N.W.W.-A.), and Medical Statistics (M.R.-G.), Leiden University Medical Center, the Netherlands; and Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering (B.G., M.D.), University of Basel, Switzerland
| | - Mar Rodríguez-Girondo
- From the Departments of Clinical Genetics (M.N.C., R.J.H., G.G., J.R., S.A.J.L.O.), Geriatrics and Psychiatrics (M.-N.W.W.-A.), and Medical Statistics (M.R.-G.), Leiden University Medical Center, the Netherlands; and Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering (B.G., M.D.), University of Basel, Switzerland
| | - Gido Gravesteijn
- From the Departments of Clinical Genetics (M.N.C., R.J.H., G.G., J.R., S.A.J.L.O.), Geriatrics and Psychiatrics (M.-N.W.W.-A.), and Medical Statistics (M.R.-G.), Leiden University Medical Center, the Netherlands; and Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering (B.G., M.D.), University of Basel, Switzerland
| | - Julie Rutten
- From the Departments of Clinical Genetics (M.N.C., R.J.H., G.G., J.R., S.A.J.L.O.), Geriatrics and Psychiatrics (M.-N.W.W.-A.), and Medical Statistics (M.R.-G.), Leiden University Medical Center, the Netherlands; and Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering (B.G., M.D.), University of Basel, Switzerland
| | - Saskia A J Lesnik Oberstein
- From the Departments of Clinical Genetics (M.N.C., R.J.H., G.G., J.R., S.A.J.L.O.), Geriatrics and Psychiatrics (M.-N.W.W.-A.), and Medical Statistics (M.R.-G.), Leiden University Medical Center, the Netherlands; and Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering (B.G., M.D.), University of Basel, Switzerland
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9
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Menéndez-Valladares P, Acevedo Aguilera R, Núñez-Jurado D, López Azcárate C, Domínguez Mayoral AM, Fernández-Vega A, Pérez-Sánchez S, Lamana Vallverdú M, García-Sánchez MI, Morales Bravo M, Busquier T, Montaner J. A Search for New Biological Pathways in Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy by Proteomic Research. J Clin Med 2024; 13:3138. [PMID: 38892848 PMCID: PMC11172732 DOI: 10.3390/jcm13113138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 05/17/2024] [Accepted: 05/23/2024] [Indexed: 06/21/2024] Open
Abstract
Background/Objectives: Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL) is a hereditary small vessel disease leading to significant morbidity and mortality. Despite advances in genetic diagnosis, the underlying pathophysiology remains incompletely understood. Proteomic studies offer insights into disease mechanisms by identifying altered protein expression patterns. Here, we conducted a proteomic analysis to elucidate molecular pathways associated with CADASIL. Methods: We enrolled genetically diagnosed CADASIL patients and healthy, genetically related controls. Plasma samples were subjected to proteomic analysis using the Olink platform, measuring 552 proteins across six panels. The data were analyzed from several approaches by using three different statistical methods: Exploratory Principal Component Analysis (PCA) and Partial Least Squares-Discriminant Analysis (PLS-DA), differential expression with moderated t-test, and gene set enrichment analysis (GSEA). In addition, bioinformatics analysis, including volcano plot, heatmap, and Variable Importance on Projection (VIP) scores from the PLS-DA model were drawn. Results: Significant differences in protein expression were observed between CADASIL patients and controls. RSPO1 and FGF-19 exhibited elevated levels (p < 0.05), while PPY showed downregulation (p < 0.05) in CADASIL patients, suggesting their involvement in disease pathogenesis. Furthermore, MIC-A/B expression varied significantly between patients with mutations in exon 4 versus exon 11 of the NOTCH3 gene (p < 0.05), highlighting potential immunological mechanisms underlying CADASIL. We identified altered pathways using GSEA, applied after ranking the study data. Conclusions: Our study provides novel insights into the proteomic profile of CADASIL, identifying dysregulated proteins associated with vascular pathology, metabolic dysregulation, and immune activation. These findings contribute to a deeper understanding of CADASIL pathophysiology and may inform the development of targeted therapeutic strategies. Further research is warranted to validate these biomarkers and elucidate their functional roles in disease progression.
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Affiliation(s)
- Paloma Menéndez-Valladares
- Department of Neurology, Virgen Macarena University Hospital, 41009 Seville, Spain; (P.M.-V.); (R.A.A.); (D.N.-J.); (C.L.A.); (S.P.-S.); (M.L.V.); (M.M.B.); (J.M.)
- Department of Neurology, Institute of Biomedicine of Seville (IBIS), 41013 Seville, Spain
- Department of Clinical Biochemistry, Virgen Macarena University Hospital, 41009 Seville, Spain
- Commission of Neurochemistry and Neurological Diseases, Spanish Society of Laboratory Medicine, 08025 Barcelona, Spain
| | - Rosa Acevedo Aguilera
- Department of Neurology, Virgen Macarena University Hospital, 41009 Seville, Spain; (P.M.-V.); (R.A.A.); (D.N.-J.); (C.L.A.); (S.P.-S.); (M.L.V.); (M.M.B.); (J.M.)
- Department of Neurology, Institute of Biomedicine of Seville (IBIS), 41013 Seville, Spain
| | - David Núñez-Jurado
- Department of Neurology, Virgen Macarena University Hospital, 41009 Seville, Spain; (P.M.-V.); (R.A.A.); (D.N.-J.); (C.L.A.); (S.P.-S.); (M.L.V.); (M.M.B.); (J.M.)
- Department of Neurology, Institute of Biomedicine of Seville (IBIS), 41013 Seville, Spain
- Department of Clinical Biochemistry, Virgen Macarena University Hospital, 41009 Seville, Spain
| | - Cristina López Azcárate
- Department of Neurology, Virgen Macarena University Hospital, 41009 Seville, Spain; (P.M.-V.); (R.A.A.); (D.N.-J.); (C.L.A.); (S.P.-S.); (M.L.V.); (M.M.B.); (J.M.)
- Department of Neurology, Institute of Biomedicine of Seville (IBIS), 41013 Seville, Spain
| | - Ana María Domínguez Mayoral
- Department of Neurology, Virgen Macarena University Hospital, 41009 Seville, Spain; (P.M.-V.); (R.A.A.); (D.N.-J.); (C.L.A.); (S.P.-S.); (M.L.V.); (M.M.B.); (J.M.)
- Department of Neurology, Institute of Biomedicine of Seville (IBIS), 41013 Seville, Spain
| | - Alejandro Fernández-Vega
- Department of Neurology, Virgen Macarena University Hospital, 41009 Seville, Spain; (P.M.-V.); (R.A.A.); (D.N.-J.); (C.L.A.); (S.P.-S.); (M.L.V.); (M.M.B.); (J.M.)
- Department of Neurology, Institute of Biomedicine of Seville (IBIS), 41013 Seville, Spain
| | - Soledad Pérez-Sánchez
- Department of Neurology, Virgen Macarena University Hospital, 41009 Seville, Spain; (P.M.-V.); (R.A.A.); (D.N.-J.); (C.L.A.); (S.P.-S.); (M.L.V.); (M.M.B.); (J.M.)
- Department of Neurology, Institute of Biomedicine of Seville (IBIS), 41013 Seville, Spain
| | - Marcel Lamana Vallverdú
- Department of Neurology, Virgen Macarena University Hospital, 41009 Seville, Spain; (P.M.-V.); (R.A.A.); (D.N.-J.); (C.L.A.); (S.P.-S.); (M.L.V.); (M.M.B.); (J.M.)
- Department of Neurology, Institute of Biomedicine of Seville (IBIS), 41013 Seville, Spain
| | | | - María Morales Bravo
- Department of Neurology, Virgen Macarena University Hospital, 41009 Seville, Spain; (P.M.-V.); (R.A.A.); (D.N.-J.); (C.L.A.); (S.P.-S.); (M.L.V.); (M.M.B.); (J.M.)
- Department of Neurology, Institute of Biomedicine of Seville (IBIS), 41013 Seville, Spain
| | - Teresa Busquier
- Department of Radiology, Virgen Macarena University Hospital, 41009 Seville, Spain;
| | - Joan Montaner
- Department of Neurology, Virgen Macarena University Hospital, 41009 Seville, Spain; (P.M.-V.); (R.A.A.); (D.N.-J.); (C.L.A.); (S.P.-S.); (M.L.V.); (M.M.B.); (J.M.)
- Department of Neurology, Institute of Biomedicine of Seville (IBIS), 41013 Seville, Spain
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Saks DG, Bajorek B, Catts VS, Bentvelzen AC, Jiang J, Wen W, Mather KA, Thalamuthu A, Huang-Lung J, Nivison-Smith L, Griffiths LR, Smith RA, Sexton A, James P, Jayasena T, Poljak A, Hansra GK, Hosoki S, Park A, Hillenbrand CM, van Wijngaarden P, Chander RJ, Humphrey S, Chen R, Kochan NA, Helman TJ, Levi C, Brodtmann A, O'Sullivan MJ, Markus R, Butcher K, Parsons M, Kovacic JC, Sachdev PS. The protocol for an observational Australian cohort study of CADASIL: The AusCADASIL study. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2024; 6:100225. [PMID: 38841148 PMCID: PMC11152887 DOI: 10.1016/j.cccb.2024.100225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 05/09/2024] [Accepted: 05/14/2024] [Indexed: 06/07/2024]
Abstract
Introduction Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL) is a rare genetic condition with a broad phenotypic presentation. This study aims to establish the first Australian cohort of individuals affected by CADASIL (AusCADASIL) and examine its clinical features and longitudinal course, and to investigate neuroimaging and blood biomarkers to assist in early diagnosis and identify disease progression. Methods Participants will be recruited from six study centres across Australia for an observational study of CADASIL. We aim to recruit 150 participants with diagnosed CADASIL, family history of CADASIL or suspected CADASIL symptoms, and 150 cognitively normal NOTCH3 negative individuals as controls. Participants will complete: 1) online questionnaires on medical and family history, mental health, and wellbeing; 2) neuropsychological evaluation; 3) neurological examination and brain MRI; 4) ocular examination and 5) blood sample donation. Participants will have annual follow-up for 4 years to assess their progression and will be asked to invite a study partner to corroborate their self-reported cognitive and functional abilities.Primary outcomes include cognitive function and neuroimaging abnormalities. Secondary outcomes include investigation of genetics and blood and ocular biomarkers. Data from the cohort will contribute to an international consortium, and cohort participants will be invited to access future treatment/health intervention trials. Discussion AusCADASIL will be the first study of an Australian cohort of individuals with CADASIL. The study will identify common pathogenic variants in this cohort, and characterise the pattern of clinical presentation and longitudinal progression, including imaging features, blood and ocular biomarkers and cognitive profile.
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Affiliation(s)
- Danit G. Saks
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, 2052, Australia
| | - Beata Bajorek
- Heart and Stroke Program, Hunter Medical Research Institute, Newcastle, 2305, Australia
- Pharmacy Department, John Hunter Hospital, Newcastle, 2305, Australia
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, 2308, Australia
| | - Vibeke S. Catts
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, 2052, Australia
| | - Adam C. Bentvelzen
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, 2052, Australia
| | - Jiyang Jiang
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, 2052, Australia
| | - Wei Wen
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, 2052, Australia
| | - Karen A. Mather
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, 2052, Australia
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, 2052, Australia
| | - Jessie Huang-Lung
- School of Optometry and Vision Science, University of New South Wales, Sydney, 2052, Australia
| | - Lisa Nivison-Smith
- School of Optometry and Vision Science, University of New South Wales, Sydney, 2052, Australia
| | - Lyn R. Griffiths
- Genomics Research Centre, Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, 4059, Australia
| | - Robert A. Smith
- Genomics Research Centre, Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, 4059, Australia
| | - Adrienne Sexton
- Genomic Medicine, Royal Melbourne Hospital, Melbourne, 3052, Australia
| | - Paul James
- Genomic Medicine, Royal Melbourne Hospital, Melbourne, 3052, Australia
| | - Tharusha Jayasena
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, 2052, Australia
| | - Anne Poljak
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, 2052, Australia
- Bioanalytical Mass Spectrometry Facility, University of New South Wales, Sydney, 2052, Australia
| | - Gurpreet K. Hansra
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, 2052, Australia
| | - Satoshi Hosoki
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, 2052, Australia
| | - Ashley Park
- Department of Neurology, Royal Melbourne Hospital, Melbourne, 3052, Australia
| | | | - Peter van Wijngaarden
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, 3002, Australia
- Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, 3052, Australia
| | - Russell J. Chander
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, 2052, Australia
| | - Sam Humphrey
- Department of Neurology, Royal Melbourne Hospital, Melbourne, 3052, Australia
| | - Rory Chen
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, 2052, Australia
| | - Nicole A. Kochan
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, 2052, Australia
| | - Tessa J. Helman
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, 2052, Australia
| | - Christopher Levi
- School of Medicine and Public Health, University of Newcastle, Newcastle, 2308, Australia
- John Hunter Health and Innovation Precinct (JHHIP), Newcastle, 2305, Australia
- Neurology Department, John Hunter Hospital, Newcastle, 2305, Australia
| | - Amy Brodtmann
- Department of Neurology, Royal Melbourne Hospital, Melbourne, 3052, Australia
| | - Michael J. O'Sullivan
- Institute for Molecular Bioscience, University of Queensland, Brisbane, 4067, Australia
| | - Romesh Markus
- Department of Neurology, St Vincent's Hospital, Sydney, 2010, Australia
| | - Ken Butcher
- Department of Neurology, Prince of Wales Hospital, Sydney, 2031, Australia
| | - Mark Parsons
- School of Clinical Medicine, University of New South Wales, Sydney, 2052, Australia
| | - Jason C. Kovacic
- School of Clinical Medicine, University of New South Wales, Sydney, 2052, Australia
- Victor Chang Cardiac Research Institute, Sydney, 2010, Australia
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, 2052, Australia
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, 2031, Australia
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11
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Karvelas N, Oh B, Wang E, Cobigo Y, Tsuei T, Fitzsimons S, Younes K, Ehrenberg A, Geschwind MD, Schwartz D, Kramer JH, Ferguson AR, Miller BL, Silbert LC, Rosen HJ, Elahi FM. Enlarged perivascular spaces are associated with white matter injury, cognition and inflammation in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy. Brain Commun 2024; 6:fcae071. [PMID: 38495305 PMCID: PMC10943571 DOI: 10.1093/braincomms/fcae071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 01/18/2024] [Accepted: 03/08/2024] [Indexed: 03/19/2024] Open
Abstract
Enlarged perivascular spaces have been previously reported in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy, but their significance and pathophysiology remains unclear. We investigated associations of white matter enlarged perivascular spaces with classical imaging measures, cognitive measures and plasma proteins to better understand what enlarged perivascular spaces represent in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy and whether radiographic measures of enlarged perivascular spaces would be of value in future therapeutic discovery studies for cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy. Twenty-four individuals with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy and 24 age- and sex-matched controls were included. Disease status was determined based on the presence of NOTCH3 mutation. Brain imaging measures of white matter hyperintensity, brain parenchymal fraction, white matter enlarged perivascular space volumes, clinical and cognitive measures as well as plasma proteomics were used in models. White matter enlarged perivascular space volumes were calculated via a novel, semiautomated pipeline, and levels of 7363 proteins were quantified in plasma using the SomaScan assay. The relationship of enlarged perivascular spaces with global burden of white matter hyperintensity, brain atrophy, functional status, neurocognitive measures and plasma proteins was modelled with linear regression models. Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy and control groups did not exhibit differences in mean enlarged perivascular space volumes. However, increased enlarged perivascular space volumes in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy were associated with increased white matter hyperintensity volume (β = 0.57, P = 0.05), Clinical Dementia Rating Sum-of-Boxes score (β = 0.49, P = 0.04) and marginally with decreased brain parenchymal fraction (β = -0.03, P = 0.10). In interaction term models, the interaction term between cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy disease status and enlarged perivascular space volume was associated with increased white matter hyperintensity volume (β = 0.57, P = 0.02), Clinical Dementia Rating Sum-of-Boxes score (β = 0.52, P = 0.02), Mini-Mental State Examination score (β = -1.49, P = 0.03) and marginally with decreased brain parenchymal fraction (β = -0.03, P = 0.07). Proteins positively associated with enlarged perivascular space volumes were found to be related to leukocyte migration and inflammation, while negatively associated proteins were related to lipid metabolism. Two central hub proteins were identified in protein networks associated with enlarged perivascular space volumes: CXC motif chemokine ligand 8/interleukin-8 and C-C motif chemokine ligand 2/monocyte chemoattractant protein 1. The levels of CXC motif chemokine ligand 8/interleukin-8 were also associated with increased white matter hyperintensity volume (β = 42.86, P = 0.03), and levels of C-C motif chemokine ligand 2/monocyte chemoattractant protein 1 were further associated with decreased brain parenchymal fraction (β = -0.0007, P < 0.01) and Mini-Mental State Examination score (β = -0.02, P < 0.01) and increased Trail Making Test B completion time (β = 0.76, P < 0.01). No proteins were associated with all three studied imaging measures of pathology (brain parenchymal fraction, enlarged perivascular spaces, white matter hyperintensity). Based on associations uncovered between enlarged perivascular space volumes and cognitive functions, imaging and plasma proteins, we conclude that white matter enlarged perivascular space volumes may capture pathologies contributing to chronic brain dysfunction and degeneration in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy.
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Affiliation(s)
- Nikolaos Karvelas
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Bradley Oh
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Earnest Wang
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
| | - Yann Cobigo
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
| | - Torie Tsuei
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
| | - Stephen Fitzsimons
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Kyan Younes
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94304, USA
| | - Alexander Ehrenberg
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Michael D Geschwind
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
| | - Daniel Schwartz
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Neurology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Joel H Kramer
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
| | - Adam R Ferguson
- Department of Neurological surgery, Brain and Spinal Injury Center (BASIC), Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94110, USA
- San Francisco Veterans Affairs Health Care System, San Francisco, CA 94121, USA
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
| | - Lisa C Silbert
- Department of Neurology, Oregon Health & Science University, Portland, OR 97239, USA
- NIA-Layton Alzheimer’s Disease Research Center, Oregon Health & Science University, Portland, OR 97239, USA
- Portland Veterans Affairs Health Care System, Portland, OR 97239, USA
| | - Howard J Rosen
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
| | - Fanny M Elahi
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Memory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
- James J. Peters Department of Veterans Affairs Medical Center, Bronx, NY 10468, USA
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12
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Wang P, Yao M, Yuan J, Han F, Zhai F, Zhang D, Zhou L, Ni J, Zhang S, Cui L, Zhu Y. Association of Rare NOTCH3 Variants With Prevalent and Incident Stroke and Dementia in the General Population. J Am Heart Assoc 2024; 13:e032668. [PMID: 38348813 PMCID: PMC11010104 DOI: 10.1161/jaha.123.032668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 01/05/2024] [Indexed: 02/21/2024]
Abstract
BACKGROUND It is uncertain whether rare NOTCH3 variants are associated with stroke and dementia in the general population and whether they lead to alterations in cognitive function. This study aims to determine the associations of rare NOTCH3 variants with prevalent and incident stroke and dementia, as well as cognitive function changes. METHODS AND RESULTS In the prospective community-based Shunyi Study, a total of 1007 participants were included in the baseline analysis. For the follow-up analysis, 1007 participants were included in the stroke analysis, and 870 participants in the dementia analysis. All participants underwent baseline brain magnetic resonance imaging, carotid ultrasound, and whole exome sequencing. Rare NOTCH3 variants were defined as variants with minor allele frequency <1%. A total of 137 rare NOTCH3 carriers were enrolled in the baseline study. At baseline, rare NOTCH3 variant carriers had higher rates of stroke (8.8% versus 5.6%) and dementia (2.9% versus 0.8%) compared with noncarriers. After adjustment for associated risk factors, the epidermal growth factor-like repeats (EGFr)-involving rare NOTCH3 variants were associated with a higher risk of prevalent stroke (odds ratio [OR], 2.697 [95% CI, 1.266-5.745]; P=0.040) and dementia (OR, 8.498 [95% CI, 1.727-41.812]; P=0.032). After 5 years of follow-up, we did not find that the rare NOTCH3 variants increased the risk of incident stroke and dementia. There was no statistical difference in the change in longitudinal cognitive scale scores. CONCLUSIONS Rare NOTCH3 EGFr-involving variants are genetic risk factors for stroke and dementia in the general Chinese population.
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Affiliation(s)
- Pei Wang
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Ming Yao
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Jing Yuan
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Fei Han
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Fei‐Fei Zhai
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Ding‐Ding Zhang
- Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Li‐Xin Zhou
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Jun Ni
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Shu‐Yang Zhang
- Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Li‐Ying Cui
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yi‐Cheng Zhu
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
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13
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Lin HJ, Chen CH, Su MW, Lin CW, Cheng YW, Tang SC, Jeng JS. Modifiable vascular risk factors contribute to stroke in 1080 NOTCH3 R544C carriers in Taiwan Biobank. Int J Stroke 2024; 19:105-113. [PMID: 37485895 DOI: 10.1177/17474930231191991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
BACKGROUND AND AIM Previous studies have suggested cardiovascular risk factors increase the risk of not only common sporadic stroke but also of stroke in patients with monogenic stroke disorders including CADASIL. We investigated the effects of the NOTCH3 Arg544Cys (R544C) variant and associated vascular risk factors on stroke in the Taiwanese population. METHODS This study was conducted using data from the Taiwan Biobank, consisting of at least 130,000 Han Chinese participants. The genotype was derived from customized genome-wide arrays for 650,000 to 750,000 single-nucleotide polymorphisms (SNPs). Individuals with NOTCH3 R544C were subsequently matched with noncarriers based on the propensity score at a 1:10 ratio by demographic and cardiovascular risk factors. The odds ratio (OR) for stroke or other phenotypes in NOTCH3 R544C carriers and matched noncarriers was then calculated. Univariate and multivariate regression analyses were performed on cardiovascular risk factors in NOTCH3 R544C carriers with and without stroke. The polygenic risk score (PRS) model, adopted from the UK Biobank, was then applied to evaluate the role of NOTCH3 R544C in stroke. RESULTS From the 114,282 participants with both genotype and questionnaire results, 1080 (0.95%) harbored the pathogenic NOTCH3 R544C variant. When compared to the matched controls (n = 10,800), the carriers presented with a history of stroke (OR: 2.52, 95% confidence interval (CI) (1.45, 4.37)), dementia (OR: 30.1, 95% CI (3.13, 289.43)), and sibling history of stroke (OR: 2.48, 95% CI (1.85, 3.34)) phenotypes. The risk of stroke increased with every 10-year increase in age (p = 0.006, Cochran-Mantel-Haenszel test). Among NOTCH3 R544C carriers, 16 (1.3%) of the 1080 carriers with a stroke history were older, male, and more likely to have hypertension, diabetes, dyslipidemia, and a family history of stroke. In the stepwise multivariate analysis, hypertension (OR: 11.28, 95% CI (3.54, 43.3)) and diabetes mellitus (OR: 4.10, 95% CI (1.31, 12.4)) were independently associated with stroke. Harboring the NOTCH3 R544C variant in the Taiwan Biobank is comparable with a 6.74 standard deviations increase in individual's polygenic risk score for stroke. CONCLUSION While the NOTCH3 R544C variant alone increased the risk of stroke, modifiable vascular risk factors also played a role in the occurrence of stroke in Taiwanese community-dwelling individuals carrying the NOTCH3 variant.
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Affiliation(s)
- Hung-Jen Lin
- Department of Medical Education, National Taiwan University Hospital, Taipei
| | - Chih-Hao Chen
- Department of Neurology, National Taiwan University Hospital, Taipei
| | - Ming-Wei Su
- Institute of Biomedical Sciences, Academia Sinica, Taipei
| | - Chien-Wei Lin
- Institute of Biomedical Sciences, Academia Sinica, Taipei
| | - Yu-Wen Cheng
- Department of Neurology, National Taiwan University Hospital, Taipei
| | - Sung-Chun Tang
- Department of Neurology, National Taiwan University Hospital, Taipei
| | - Jiann-Shing Jeng
- Department of Neurology, National Taiwan University Hospital, Taipei
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Meschia JF, Worrall BB, Elahi FM, Ross OA, Wang MM, Goldstein ED, Rost NS, Majersik JJ, Gutierrez J. Management of Inherited CNS Small Vessel Diseases: The CADASIL Example: A Scientific Statement From the American Heart Association. Stroke 2023; 54:e452-e464. [PMID: 37602377 DOI: 10.1161/str.0000000000000444] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/22/2023]
Abstract
Lacunar infarcts and vascular dementia are important phenotypic characteristics of cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy, the most common inherited cerebral small vessel disease. Individuals with the disease show variability in the nature and onset of symptoms and rates of progression, which are only partially explained by differences in pathogenic mutations in the NOTCH3 gene. Recognizing the disease early in its course and securing a molecular diagnosis are important clinical goals, despite the lack of proven disease-modifying treatments. The purposes of this scientific statement are to review the clinical, genetic, and imaging aspects of cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy, contrasting it with other inherited small vessel diseases, and to provide key prevention, management, and therapeutic considerations with the intent of reducing practice variability and encouraging production of high-quality evidence to support future treatment recommendations.
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Hack RJ, Gravesteijn G, Cerfontaine MN, Santcroos MA, Gatti L, Kopczak A, Bersano A, Duering M, Rutten JW, Lesnik Oberstein SAJ. Three-tiered EGFr domain risk stratification for individualized NOTCH3-small vessel disease prediction. Brain 2023; 146:2913-2927. [PMID: 36535904 PMCID: PMC10316769 DOI: 10.1093/brain/awac486] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 11/23/2022] [Accepted: 11/27/2022] [Indexed: 02/10/2024] Open
Abstract
Cysteine-altering missense variants (NOTCH3cys) in one of the 34 epidermal growth-factor-like repeat (EGFr) domains of the NOTCH3 protein are the cause of NOTCH3-associated small vessel disease (NOTCH3-SVD). NOTCH3-SVD is highly variable, ranging from cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) at the severe end of the spectrum to non-penetrance. The strongest known NOTCH3-SVD modifier is NOTCH3cys variant position: NOTCH3cys variants located in EGFr domains 1-6 are associated with a more severe phenotype than NOTCH3cys variants located in EGFr domains 7-34. The objective of this study was to further improve NOTCH3-SVD genotype-based risk prediction by using relative differences in NOTCH3cys variant frequencies between large CADASIL and population cohorts as a starting point. Scientific CADASIL literature, cohorts and population databases were queried for NOTCH3cys variants. For each EGFr domain, the relative difference in NOTCH3cys variant frequency (NVFOR) was calculated using genotypes of 2574 CADASIL patients and 1647 individuals from population databases. Based on NVFOR cut-off values, EGFr domains were classified as either low (LR-EGFr), medium (MR-EGFr) or high risk (HR-EGFr). The clinical relevance of this new three-tiered EGFr risk classification was cross-sectionally validated by comparing SVD imaging markers and clinical outcomes between EGFr risk categories using a genotype-phenotype data set of 434 CADASIL patients and 1003 NOTCH3cys positive community-dwelling individuals. CADASIL patients and community-dwelling individuals harboured 379 unique NOTCH3cys variants. Nine EGFr domains were classified as an HR-EGFr, which included EGFr domains 1-6, but additionally also EGFr domains 8, 11 and 26. Ten EGFr domains were classified as MR-EGFr and 11 as LR-EGFr. In the population genotype-phenotype data set, HR-EGFr individuals had the highest risk of stroke [odds ratio (OR) = 10.81, 95% confidence interval (CI): 5.46-21.37], followed by MR-EGFr individuals (OR = 1.81, 95% CI: 0.84-3.88) and LR-EGFr individuals (OR = 1 [reference]). MR-EGFr individuals had a significantly higher normalized white matter hyperintensity volume (nWMHv; P = 0.005) and peak width of skeletonized mean diffusivity (PSMD; P = 0.035) than LR-EGFr individuals. In the CADASIL genotype-phenotype data set, HR-EGFr domains 8, 11 and 26 patients had a significantly higher risk of stroke (P = 0.002), disability (P = 0.041), nWMHv (P = 1.8 × 10-8), PSMD (P = 2.6 × 10-8) and lacune volume (P = 0.006) than MR-EGFr patients. SVD imaging marker load and clinical outcomes were similar between HR-EGFr 1-6 patients and HR-EGFr 8, 11 and 26 patients. NVFOR was significantly associated with vascular NOTCH3 aggregation load (P = 0.006), but not with NOTCH3 signalling activity (P = 0.88). In conclusion, we identified three clinically distinct NOTCH3-SVD EGFr risk categories based on NFVOR cut-off values, and identified three additional HR-EGFr domains located outside of EGFr domains 1-6. This EGFr risk classification will provide an important key to individualized NOTCH3-SVD disease prediction.
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Affiliation(s)
- Remco J Hack
- Department of Clinical Genetics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Gido Gravesteijn
- Department of Clinical Genetics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Minne N Cerfontaine
- Department of Clinical Genetics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Mark A Santcroos
- Department of Human Genetics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Laura Gatti
- Laboratory of Neurobiology, Fondazione IRCSS Istituto Neurologico Carlo Besta, 20133 Milan, Italy
| | - Anna Kopczak
- Institute for Stroke and Dementia Research, LMU University Hospital Munich, 81377 Munich, Germany
| | - Anna Bersano
- Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy
| | - Marco Duering
- Institute for Stroke and Dementia Research, LMU University Hospital Munich, 81377 Munich, Germany
- Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel, 4051 Basel, Switzerland
| | - Julie W Rutten
- Department of Clinical Genetics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
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16
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Kopczak A, Stringer MS, van den Brink H, Kerkhofs D, Blair GW, van Dinther M, Onkenhout L, Wartolowska KA, Thrippleton MJ, Duering M, Staals J, Middeke M, André E, Norrving B, Bousser MG, Mansmann U, Rothwell PM, Doubal FN, van Oostenbrugge R, Biessels GJ, Webb AJS, Wardlaw JM, Dichgans M. The EffecTs of Amlodipine and other Blood PREssure Lowering Agents on Microvascular FuncTion in Small Vessel Diseases (TREAT-SVDs) trial: Study protocol for a randomised crossover trial. Eur Stroke J 2023; 8:387-397. [PMID: 37021189 PMCID: PMC10069218 DOI: 10.1177/23969873221143570] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 11/16/2022] [Indexed: 12/23/2022] Open
Abstract
Background Hypertension is the leading modifiable risk factor for cerebral small vessel diseases (SVDs). Yet, it is unknown whether antihypertensive drug classes differentially affect microvascular function in SVDs. Aims To test whether amlodipine has a beneficial effect on microvascular function when compared to either losartan or atenolol, and whether losartan has a beneficial effect when compared to atenolol in patients with symptomatic SVDs. Design TREAT-SVDs is an investigator-led, prospective, open-label, randomised crossover trial with blinded endpoint assessment (PROBE design) conducted at five study sites across Europe. Patients aged 18 years or older with symptomatic SVD who have an indication for antihypertensive treatment and are suffering from either sporadic SVD and a history of lacunar stroke or vascular cognitive impairment (group A) or CADASIL (group B) are randomly allocated 1:1:1 to one of three sequences of antihypertensive treatment. Patients stop their regular antihypertensive medication for a 2-week run-in period followed by 4-week periods of monotherapy with amlodipine, losartan and atenolol in random order as open-label medication in standard dose. Outcomes The primary outcome measure is cerebrovascular reactivity (CVR) as determined by blood oxygen level dependent brain MRI signal response to hypercapnic challenge with change in CVR in normal appearing white matter as primary endpoint. Secondary outcome measures are mean systolic blood pressure (BP) and BP variability (BPv). Discussion TREAT-SVDs will provide insights into the effects of different antihypertensive drugs on CVR, BP, and BPv in patients with symptomatic sporadic and hereditary SVDs. Funding European Union's Horizon 2020 programme. Trial registration NCT03082014.
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Affiliation(s)
- Anna Kopczak
- Institute for Stroke and Dementia
Research, University Hospital, LMU Munich, Munich, Germany
| | - Michael S Stringer
- Centre for Clinical Brain Sciences,
University of Edinburgh, Edinburgh, UK
| | - Hilde van den Brink
- Department of Neurology, UMC Utrecht
Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Danielle Kerkhofs
- Department of Neurology and School for
cardiovascular diseases (CARIM), Maastricht University Medical Center+, Maastricht,
The Netherlands
| | - Gordon W Blair
- Centre for Clinical Brain Sciences,
University of Edinburgh, Edinburgh, UK
| | - Maud van Dinther
- Department of Neurology and School for
cardiovascular diseases (CARIM), Maastricht University Medical Center+, Maastricht,
The Netherlands
| | - Laurien Onkenhout
- Department of Neurology, UMC Utrecht
Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Karolina A Wartolowska
- Wolfson Centre for Prevention of Stroke
and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford,
Oxford, UK
| | | | - Marco Duering
- Institute for Stroke and Dementia
Research, University Hospital, LMU Munich, Munich, Germany
- Medical Image Analysis Center (MIAC AG)
and Department of Biomedical Engineering, University of Basel, Basel,
Switzerland
| | - Julie Staals
- Department of Neurology and School for
cardiovascular diseases (CARIM), Maastricht University Medical Center+, Maastricht,
The Netherlands
| | - Martin Middeke
- Hypertoniezentrum München, Excellence
Centre of the European Society of Hypertension (ESH), Munich, Germany
| | - Elisabeth André
- Münchner Studienzentrum, Faculty of
Medicine, Technical University Munich (TUM), Munich, Germany
| | - Bo Norrving
- Neurology, Department of Clinical
Sciences Lund, Lund University, and Neurology, Skåne University Hospital Lund/Malmö,
Sweden
| | | | - Ulrich Mansmann
- Institute for Medical Information
Processing, Biometry, and Epidemiology, LMU Munich, Munich, Germany
| | - Peter M Rothwell
- Wolfson Centre for Prevention of Stroke
and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford,
Oxford, UK
| | - Fergus N Doubal
- Centre for Clinical Brain Sciences,
University of Edinburgh, Edinburgh, UK
| | - Robert van Oostenbrugge
- Department of Neurology and School for
cardiovascular diseases (CARIM), Maastricht University Medical Center+, Maastricht,
The Netherlands
| | - Geert Jan Biessels
- Department of Neurology, UMC Utrecht
Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Alastair JS Webb
- Wolfson Centre for Prevention of Stroke
and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford,
Oxford, UK
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences,
University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute,
University of Edinburgh, Edinburgh, UK
| | - Martin Dichgans
- Institute for Stroke and Dementia
Research, University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology
(SyNergy), Munich, Germany
- German Center for Neurodegenerative
Diseases (DZNE), Munich, Germany
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17
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Bhagat R, Marini S, Romero JR. Genetic considerations in cerebral small vessel diseases. Front Neurol 2023; 14:1080168. [PMID: 37168667 PMCID: PMC10164974 DOI: 10.3389/fneur.2023.1080168] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 04/04/2023] [Indexed: 05/13/2023] Open
Abstract
Cerebral small vessel disease (CSVD) encompasses a broad clinical spectrum united by pathology of the small vessels of the brain. CSVD is commonly identified using brain magnetic resonance imaging with well characterized markers including covert infarcts, white matter hyperintensities, enlarged perivascular spaces, and cerebral microbleeds. The pathophysiology of CSVD is complex involving genetic determinants, environmental factors, and their interactions. While the role of vascular risk factors in CSVD is well known and its management is pivotal in mitigating the clinical effects, recent research has identified novel genetic factors involved in CSVD. Delineating genetic determinants can promote the understanding of the disease and suggest effective treatments and preventive measures of CSVD at the individual level. Here we review CSVD focusing on recent advances in the genetics of CSVD. The knowledge gained has advanced understanding of the pathophysiology of CSVD, offered promising early results that may improve subtype identification of small vessel strokes, has led to additional identification of mendelian forms of small vessel strokes, and is getting closer to influencing clinical care through pharmacogenetic studies.
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Affiliation(s)
- Riwaj Bhagat
- Department of Neurology, Boston Medical Center, Boston University School of Medicine, Boston, MA, United States
| | - Sandro Marini
- Department of Neurology, Boston Medical Center, Boston University School of Medicine, Boston, MA, United States
| | - José R. Romero
- Department of Neurology, Boston Medical Center, Boston University School of Medicine, Boston, MA, United States
- NHLBI’s Framingham Heart Study, Framingham, MA, United States
- *Correspondence: José R. Romero,
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