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Carabias CS, Alves VC, Hernández Laín A, Lagares A. Characterization of Chitinase 3-like protein 1 spatiotemporal distribution in human post-traumatic brain contusions and other neuropathological scenarios. J Neuropathol Exp Neurol 2025; 84:305-328. [PMID: 39832298 DOI: 10.1093/jnen/nlaf002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2025] Open
Abstract
Chitinase 3-like protein 1 (CHI3L1) is emerging as a promising biomarker for assessing intracranial lesion burden and predicting prognosis in traumatic brain injury (TBI) patients. Following experimental TBI, Chi3l1 transcripts were detected in reactive astrocytes located within the pericontusional cortex. However, the cellular sources of CHI3L1 in response to hemorrhagic contusions in human brain remain unidentified. Hence, we examined a comprehensive collection of histologically defined acute and subacute human cerebral contusions with various surgical intervals using immunohistochemistry, validated through double immunofluorescence for markers such as GFAP, NeuN, MBP, and Iba-1, along with Fluoro-Jade C histofluorescence staining. CHI3L1 was found at meningeal interfaces, showing significant thickening of subpial glial plate. Paradoxically, CHI3L1-positive astrocytes were identified in neuroanatomical locations distant from hemorrhagic foci, where numerous eosinophilic ischemic neurons also exhibited CHI3L1 immunoreactivity. CHI3L1 immunostaining extended into white matter tracts and highlighted various phagocytic or activated microglia forms after delayed surgical decompressions. Given these findings, we advise against using CHI3L1 as a reactive astrogliosis marker due to its expression in multiple cell types, including astrocytes, neurons, oligodendrocytes, ependymocytes, leptomeningeal cells, microglia, and blood vessels. This non-selective response underscores the potential for CHI3L1 elevation patterns in biofluids to reflect the overall lesion burden extent.
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Affiliation(s)
- Cristina Sánchez Carabias
- Neurotraumatology and Subarachnoid Hemorrhage Research Unit, Area 8: Neurosciences and Mental Health, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain
| | - Victoria Cunha Alves
- Neurotraumatology and Subarachnoid Hemorrhage Research Unit, Area 8: Neurosciences and Mental Health, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain
| | - Aurelio Hernández Laín
- Department of Neuropathology, Hospital Universitario 12 de Octubre, Madrid, Spain
- Neuro-oncology Research Unit, Area 1: Cancer, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain
- Department of Pathology, Faculty of Medicine, Universidad Complutense de Madrid (UCM), Madrid, Spain
| | - Alfonso Lagares
- Neurotraumatology and Subarachnoid Hemorrhage Research Unit, Area 8: Neurosciences and Mental Health, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain
- Department of Neurosurgery, Hospital Universitario 12 de Octubre, Madrid, Spain
- Department of Surgery, Faculty of Medicine, Universidad Complutense de Madrid (UCM), Madrid, Spain
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Huang W, Liao L, Liu Q, Ma R, He X, Du X, Sha D. Blood biomarkers for vascular cognitive impairment based on neuronal function: a systematic review and meta-analysis. Front Neurol 2025; 16:1496711. [PMID: 39990267 PMCID: PMC11842260 DOI: 10.3389/fneur.2025.1496711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2024] [Accepted: 01/28/2025] [Indexed: 02/25/2025] Open
Abstract
Vascular cognitive impairment (VCI) is increasingly recognized as the second most prevalent cause of dementia, primarily attributed to vascular risk factors and cerebrovascular disease. Numerous studies suggest that blood biomarkers may play a crucial role in the detection and prognosis of VCI. This study conducted a meta-analysis to evaluate the potential of various blood biomarkers associated with neuronal function as indicators of VCI. We searched four major databases-PubMed, Embase, Web of Science, and the Cochrane Library-up to December 31, 2023, for research on blood biomarkers for VCI. Of the 4,043 studies identified, 30 met the inclusion criteria for this review. The nine peripheral biomarkers analyzed for their association with neuronal function include amyloid beta 42 (Aβ42), amyloid beta 40 (Aβ40), Aβ42/Aβ40 ratio, total Tau (t-Tau), phosphorylated tau 181 (p-tau 181), neurofilament light (NfL), brain-derived neurotrophic factor (BDNF), S100B, and soluble receptor for advanced glycation end products (sRAGE). Our findings reveal that peripheral Aβ42, Aβ42/Aβ40 ratio, NfL, and S100B significantly differ between VCI and non-VCI groups, indicating their potential as blood biomarkers for VCI.
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Affiliation(s)
- Weiquan Huang
- Department of General Practice, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Libin Liao
- Department of General Practice, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Qian Liu
- Department of General Practice, Nanjing Drum Tower Hospital Clinical College of Xuzhou Medical University, Nanjing, Jiangsu, China
| | - Rongchao Ma
- Department of General Practice, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xuan He
- Department of General Practice, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- State Key Laboratory of Pharmaceutical Biotechnology, Institute of Functional Biomolecules, Nanjing University, Nanjing, China
| | - Xiaoqiong Du
- Department of General Practice, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Dujuan Sha
- Department of General Practice, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
- Department of General Practice, Nanjing Drum Tower Hospital Clinical College of Xuzhou Medical University, Nanjing, Jiangsu, China
- Department of General Practice, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- State Key Laboratory of Pharmaceutical Biotechnology, Institute of Functional Biomolecules, Nanjing University, Nanjing, China
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Fang Z, Chen X, Zhao Y, Zhou X, Cai X, Deng J, Cheng W, Sun W, Zhuang J, Yin Y. Quantitative assessments of white matter hyperintensities and plasma biomarkers can predict cognitive impairment and cerebral microbleeds in cerebral small vessel disease patients. Neuroscience 2025; 564:41-51. [PMID: 39522933 DOI: 10.1016/j.neuroscience.2024.11.014] [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: 04/09/2024] [Revised: 10/08/2024] [Accepted: 11/07/2024] [Indexed: 11/16/2024]
Abstract
The objective of this study is to examine the efficacy of magnetic resonance imaging (MRI) features and peripheral blood biomarkers in assessing cognitive function in patients with cerebral small vessel disease (CSVD). A total of 58 CSVD patients were recruited. Six features of white matter hyperintensities (WMHs) were derived from MRI scans. Additionally, five neurodegenerative biomarkers (Aβ40, Aβ42, t-tau, p-tau181, NfL) and 13 serum inflammatory cytokines (VILIP-1, CCL2, IL-6, IL-18, TNF-α, CX3CL, sTREM-1/2, VEGF, s-RAGE, BNDF, TGF-β1, β-NGF) were quantified. Cognitive assessments were conducted using standardized neuropsychological scales. Spearman analysis revealed that the volumetric characteristics (absolute area, upper area, bottom area, absolute area percentage, upper percentage, and bottom percentage) of WMHs were negatively correlated with performance on all cognitive scale measures except the verbal fluency test (VFT) (r < -0.3, p > 0.05), while they were positively correlated with plasma neurofilament light (NFL) levels (r > 0.4, p < 0.05). Additionally, serum tumor necrosis factor-α (TNF-α) and soluble receptor for advanced glycation end-products (s-RAGE) showed significant correlations with scales of speech function. An integrated model incorporating WMHs features, neurodegenerative biomarkers, and neuroinflammatory markers was developed, demonstrating high predictive accuracy for cognitive impairment with an area under the curve (AUC) of 0.95 (accuracy 0.88, sensitivity 0.87, specificity 0.89). Another integrated model that includes features of WMHs and inflammatory cytokines for predicting cerebral microbleeds (CMBs) achieved an AUC of 0.95 (accuracy 0.88, sensitivity 0.82, specificity 0.92). Our findings suggest that these markers have the potential to be used for the early detection of cognitive decline and CMBs in patients with CSVD.
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Affiliation(s)
- Zhuo Fang
- Department of Data and Analytics, WuXi Diagnostics Innovation Research Institute, 200131, Shanghai, China; Danaher China Corporation, 200335, Shanghai, China
| | - Xiaohan Chen
- Department of Neurology, Second Affiliated Hospital of Naval Medical University, 200003, Shanghai, China
| | - Yike Zhao
- Department of Data and Analytics, WuXi Diagnostics Innovation Research Institute, 200131, Shanghai, China
| | - Xinrui Zhou
- Department of Data and Analytics, WuXi Diagnostics Innovation Research Institute, 200131, Shanghai, China
| | - Xiao Cai
- Department of Data and Analytics, WuXi Diagnostics Innovation Research Institute, 200131, Shanghai, China
| | - Jiale Deng
- Department of Data and Analytics, WuXi Diagnostics Innovation Research Institute, 200131, Shanghai, China
| | - Wenbin Cheng
- Department of Neurology, Second Affiliated Hospital of Naval Medical University, 200003, Shanghai, China
| | - Wenjing Sun
- Department of Neurology, Second Affiliated Hospital of Naval Medical University, 200003, Shanghai, China
| | - Jianhua Zhuang
- Department of Neurology, Second Affiliated Hospital of Naval Medical University, 200003, Shanghai, China
| | - You Yin
- Department of Neurology, Second Affiliated Hospital of Naval Medical University, 200003, Shanghai, China; Department of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, 200120, Shanghai, China.
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Shi Y, Xu M, Zhang X, Han Y, Xi G, Mao H, Deng J, Gao Q, Ji Y, Ma X, Li M, Cheng C, Fang X, Wang F. Interaction Between DHCR24 and hsa_circ_0015335 Facilitates Cognitive Impairment in Cerebral Small Vessel Disease Patients. CNS Neurosci Ther 2024; 30:e70131. [PMID: 39578712 PMCID: PMC11584349 DOI: 10.1111/cns.70131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Revised: 10/21/2024] [Accepted: 11/08/2024] [Indexed: 11/24/2024] Open
Abstract
AIMS The study attempted to determine the underlying role and regulation mechanism of 3β-hydroxysterol-Δ24 reductase (DHCR24) in the pathophysiology of cerebral small vessel disease-associated cognitive impairment (CSVD-CI). An RNA high-throughput sequencing and independent verification were conducted to identify potential circRNAs becoming the upstream regulator. METHODS RNA sequencing was performed in whole-blood samples in cohort 1 (10 CSVD-CI and 8 CSVD with cognitively normal [CSVD-CN] patients). The DHCR24 and candidate circRNAs were verified in an independent cohort 2 (45 CSVD-CI participants and 37 CSVD-CN ones). The study also analyzed comprehensive cognitive assessments, plasma molecular index, and brain structure imaging. RESULTS The expression of DHCR24 and has_circ_0015335 in whole-blood samples of CSVD-CI patients was significantly reduced compared to CSVD-CN patients in RNA sequencing and independent verification. Furthermore, the levels of DHCR24 and has_circ_0015335 were significantly related to global cognitive impairment in CSVD-CI patients. Meanwhile, DHCR24 could regulate the correlation between has_circ_0015335 expression and alterations in brain cortex in surface area, thickness, and volume in CSVD-CI patients. Additionally, hsa_circ_0015335 interacted with DHCR24 for plasma 24(S)-hydroxycholesterol levels among CSVD-CI patients. CONCLUSION Interaction between DHCR24 and hsa_circ_0015335 cognitively impaired CSVD by affecting brain cholesterol metabolism and brain structural changes.
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Affiliation(s)
- Yachen Shi
- Department of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical CenterNanjing Medical UniversityWuxiChina
- Department of Interventional Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical CenterNanjing Medical UniversityWuxiChina
| | - Min Xu
- Department of Radiology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical CenterNanjing Medical UniversityWuxiChina
| | - Xiaoxuan Zhang
- Department of Neurosurgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical CenterNanjing Medical UniversityWuxiChina
| | - Yan Han
- Department of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical CenterNanjing Medical UniversityWuxiChina
- Department of Interventional Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical CenterNanjing Medical UniversityWuxiChina
| | - Guangjun Xi
- Department of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical CenterNanjing Medical UniversityWuxiChina
- Department of Interventional Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical CenterNanjing Medical UniversityWuxiChina
| | - Haixia Mao
- Department of Radiology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical CenterNanjing Medical UniversityWuxiChina
| | - Jingyu Deng
- Department of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical CenterNanjing Medical UniversityWuxiChina
- Department of Interventional Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical CenterNanjing Medical UniversityWuxiChina
| | - Qianqian Gao
- Department of Radiology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical CenterNanjing Medical UniversityWuxiChina
| | - Yi Ji
- Department of Neurosurgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical CenterNanjing Medical UniversityWuxiChina
| | - Xuemei Ma
- Department of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical CenterNanjing Medical UniversityWuxiChina
- Department of Interventional Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical CenterNanjing Medical UniversityWuxiChina
| | - Mingyu Li
- Department of Radiology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical CenterNanjing Medical UniversityWuxiChina
| | - Chao Cheng
- Department of Neurosurgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical CenterNanjing Medical UniversityWuxiChina
| | - Xiangming Fang
- Department of Radiology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical CenterNanjing Medical UniversityWuxiChina
| | - Feng Wang
- Department of Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical CenterNanjing Medical UniversityWuxiChina
- Department of Interventional Neurology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical CenterNanjing Medical UniversityWuxiChina
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5
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Andriuta D, Ottoy J, Ruthirakuhan M, Feliciano G, Dilliott AA, Hegele RA, Gao F, McLaughlin PM, Rabin JS, Wood Alexander M, Scott CJM, Yhap V, Berezuk C, Ozzoude M, Swardfager W, Zebarth J, Tartaglia MC, Rogaeva E, Tang‐Wai DF, Casaubon L, Kumar S, Dowlatshahi D, Mandzia J, Sahlas D, Saposnik G, Fischer CE, Borrie M, Hassan A, Binns MA, Freedman M, Chertkow H, Finger E, Frank A, Bartha R, Symons S, Zetterberg H, Swartz RH, Masellis M, Black SE, Ramirez J. Perivascular spaces, plasma GFAP, and speeded executive function in neurodegenerative diseases. Alzheimers Dement 2024; 20:5800-5808. [PMID: 38961774 PMCID: PMC11350014 DOI: 10.1002/alz.14081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 05/29/2024] [Accepted: 05/29/2024] [Indexed: 07/05/2024]
Abstract
INTRODUCTION We investigated the effect of perivascular spaces (PVS) volume on speeded executive function (sEF), as mediated by white matter hyperintensities (WMH) volume and plasma glial fibrillary acidic protein (GFAP) in neurodegenerative diseases. METHODS A mediation analysis was performed to assess the relationship between neuroimaging markers and plasma biomarkers on sEF in 333 participants clinically diagnosed with Alzheimer's disease/mild cognitive impairment, frontotemporal dementia, or cerebrovascular disease from the Ontario Neurodegenerative Disease Research Initiative. RESULTS PVS was significantly associated with sEF (c = -0.125 ± 0.054, 95% bootstrap confidence interval [CI] [-0.2309, -0.0189], p = 0.021). This effect was mediated by both GFAP and WMH. DISCUSSION In this unique clinical cohort of neurodegenerative diseases, we demonstrated that the effect of PVS on sEF was mediated by the presence of elevated plasma GFAP and white matter disease. These findings highlight the potential utility of imaging and plasma biomarkers in the current landscape of therapeutics targeting dementia. HIGHLIGHTS Perivascular spaces (PVS) and white matter hyperintensities (WMH) are imaging markers of small vessel disease. Plasma glial fibrillary protein acidic protein (GFAP) is a biomarker of astroglial injury. PVS, WMH, and GFAP are relevant in executive dysfunction from neurodegeneration. PVS's effect on executive function was mediated by GFAP and white matter disease.
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Affiliation(s)
- Daniela Andriuta
- Department of NeurologyAmiens University Medical CenterAmiensFrance
- Laboratoire de Neurosciences Fonctionnelles et Pathologies (UR UPJV 4559)Jules Verne University of PicardyAmiensFrance
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | - Julie Ottoy
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | - Myuri Ruthirakuhan
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | - Ginelle Feliciano
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | - Allison A. Dilliott
- Department of Neurology and NeurosurgeryMontreal Neurological Institute and Hospital, McGill UniversityMontréalQuebecCanada
| | - Robert A. Hegele
- Robarts Research InstituteSchulich School of Medicine and DentistryWestern University, LondonTorontoOntarioCanada
| | - Fuqiang Gao
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | | | - Jennifer S. Rabin
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
- Harquail Centre for NeuromodulationSunnybrook Research InstituteTorontoOntarioCanada
- Rehabilitation Sciences InstituteUniversity of TorontoTorontoOntarioCanada
- Division of NeurologyDepartment of MedicineUniversity of TorontoTorontoOntarioCanada
| | - Madeline Wood Alexander
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
- Rehabilitation Sciences InstituteUniversity of TorontoTorontoOntarioCanada
| | - Christopher J. M. Scott
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | - Vanessa Yhap
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | - Courtney Berezuk
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | - Miracle Ozzoude
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | - Walter Swardfager
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | - Julia Zebarth
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
| | - M. Carmela Tartaglia
- Division of NeurologyToronto Western Hospital, University Health Network, University of TorontoTorontoOntarioCanada
| | - Ekaterina Rogaeva
- Tanz Centre for Research in Neurodegenerative DiseasesUniversity of TorontoTorontoOntarioCanada
| | - David F. Tang‐Wai
- Division of NeurologyToronto Western Hospital, University Health Network, University of TorontoTorontoOntarioCanada
| | - Leanne Casaubon
- Division of NeurologyToronto Western Hospital, University Health Network, University of TorontoTorontoOntarioCanada
| | - Sanjeev Kumar
- Department of PsychiatryAdult Neurodevelopment and Geriatric Psychiatry, Centre for Addiction and Mental HealthTorontoOntarioCanada
| | - Dar Dowlatshahi
- University of Ottawa Brain and Mind Research Institute and Ottawa Hospital Research InstituteOttawaOntarioCanada
| | - Jennifer Mandzia
- Robarts Research InstituteSchulich School of Medicine and DentistryWestern University, LondonTorontoOntarioCanada
| | - Demetrios Sahlas
- Division of NeurologyDepartment of MedicineHamilton Health Sciences, McMaster UniversityHamiltonOntarioCanada
| | - Gustavo Saposnik
- Li Ka Shing Knowledge Institute, and Division of NeurologyDepartment of MedicineSt. Michael's Hospital, University of TorontoTorontoOntarioCanada
| | - Corinne E. Fischer
- Li Ka Shing Knowledge Institute, and Division of NeurologyDepartment of MedicineSt. Michael's Hospital, University of TorontoTorontoOntarioCanada
- Keenan Research Centre for Biomedical ScienceSt. Michael's Hospital, University of TorontoTorontoOntarioCanada
| | - Michael Borrie
- Robarts Research InstituteSchulich School of Medicine and DentistryWestern University, LondonTorontoOntarioCanada
| | - Ayman Hassan
- Division of NeurologyDepartment of MedicineHamilton Health Sciences, McMaster UniversityHamiltonOntarioCanada
- Thunder Bay Regional Health Research InstituteThunder BayOntarioCanada
| | - Malcolm A. Binns
- Rotman Research Institute, Baycrest Health SciencesTorontoOntarioCanada
- Division of BiostatisticsDalla Lana School of Public HealthTorontoOntarioCanada
| | - Morris Freedman
- Rotman Research Institute, Baycrest Health SciencesTorontoOntarioCanada
| | - Howard Chertkow
- Division of NeurologyDepartment of MedicineUniversity of TorontoTorontoOntarioCanada
- Rotman Research Institute, Baycrest Health SciencesTorontoOntarioCanada
| | - Elizabeth Finger
- Robarts Research InstituteSchulich School of Medicine and DentistryWestern University, LondonTorontoOntarioCanada
| | - Andrew Frank
- University of Ottawa Brain and Mind Research Institute and Ottawa Hospital Research InstituteOttawaOntarioCanada
- Bruyère Research InstituteOttawaOntarioCanada
| | - Robert Bartha
- Robarts Research InstituteSchulich School of Medicine and DentistryWestern University, LondonTorontoOntarioCanada
| | - Sean Symons
- Department of Medical ImagingSunnybrook Health Sciences CentreTorontoOntarioCanada
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Department of Neurodegenerative DiseaseUCL Institute of Neurology, Queen Square, UK Dementia Research Institute at UCLLondonUK
| | - Richard H. Swartz
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
- Division of NeurologyDepartment of MedicineUniversity of TorontoTorontoOntarioCanada
- Department of MedicineNeurologySunnybrook Health Sciences CentreTorontoOntarioCanada
| | - Mario Masellis
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
- Division of NeurologyDepartment of MedicineUniversity of TorontoTorontoOntarioCanada
- Department of MedicineNeurologySunnybrook Health Sciences CentreTorontoOntarioCanada
| | - Sandra E. Black
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
- Division of NeurologyDepartment of MedicineUniversity of TorontoTorontoOntarioCanada
- Department of MedicineNeurologySunnybrook Health Sciences CentreTorontoOntarioCanada
| | - Joel Ramirez
- Dr. Sandra Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research InstituteTorontoOntarioCanada
- Graduate Department of Psychological Clinical ScienceUniversity of Toronto ScarboroughTorontoOntarioCanada
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6
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Wilms AE, de Boer I, Pelzer N, In't Veld SGJG, Middelkoop HAM, Teunissen CE, Terwindt GM. NFL and GFAP in (pre)symptomatic RVCL-S carriers: a monogenic cerebral small vessel disease. J Neurol 2024; 271:4138-4145. [PMID: 38581544 PMCID: PMC11233383 DOI: 10.1007/s00415-024-12292-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 02/28/2024] [Accepted: 02/29/2024] [Indexed: 04/08/2024]
Abstract
BACKGROUND Neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP) have emerged as biomarkers for cerebral small vessel disease (SVD). We investigated their role in a hereditary SVD model, retinal vasculopathy with cerebral leukoencephalopathy and systemic manifestations (RVCL-S). METHODS NfL and GFAP levels of 17 pre-symptomatic, 22 symptomatic RVCL-S mutation carriers and 69 controls were measured using a Simoa assay. We assessed the association of serum and cerebrospinal fluid (CSF) levels of NfL and GFAP with RVCL-S symptomatology and neuropsychological functioning. RESULTS Serum and CSF NfL levels were higher in symptomatic RVCL-S compared to controls ≥ 45 years (33.5 pg/mL vs. 9.2 pg/mL, p < 0.01; 8.5*102 pg/mL vs. 3.9*102 pg/mL, p < 0.01, respectively). Serum NfL levels were higher in symptomatic RVCL-S than pre-symptomatic carriers (33.5 pg/mL vs. 5.9 pg/mL, p = 0.02). Pre-symptomatic RVCL-S carriers had increased CSF NfL levels compared to controls < 45 years (5.2*102 pg/mL vs. 1.9*102 pg/mL, p < 0.01). No differences were found in GFAP levels across groups, but in RVCL-S carriers higher serum levels of both NfL and GFAP were linked to poorer global cognitive functioning (β[95%CI] = - 2.86 [- 5.58 to - 0.13], p = 0.04 and β[95%CI] = - 6.85 [- 11.54 to - 2.15], p = 0.01, respectively) and prolonged psychomotor test times (β[95%CI] = 6.71 [0.78-12.65], p = 0.03 and β[95%CI] = 13.84 [3.09-24.60], p = 0.01). DISCUSSION Higher levels of serum NfL and GFAP are associated with worse cognitive functioning in RVCL-S carriers and may serve as marker for disease progression. CSF NfL levels may serve as early marker as pre-symptomatic RVCL-S patients already show differences compared to young controls.
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Affiliation(s)
- Annelise E Wilms
- Department of Neurology, Leiden University Medical Center, PO Box 9600, 2300RC, Leiden, The Netherlands
| | - I de Boer
- Department of Neurology, Leiden University Medical Center, PO Box 9600, 2300RC, Leiden, The Netherlands
| | - N Pelzer
- Department of Neurology, Leiden University Medical Center, PO Box 9600, 2300RC, Leiden, The Netherlands
| | - S G J G In't Veld
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - H A M Middelkoop
- Department of Neurology, Leiden University Medical Center, PO Box 9600, 2300RC, Leiden, The Netherlands
- Institute of Psychology, Health, Medical and Neuropsychology Unit, Leiden University, Leiden, The Netherlands
| | - C E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - G M Terwindt
- Department of Neurology, Leiden University Medical Center, PO Box 9600, 2300RC, Leiden, The Netherlands.
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Zhou Z, Zhou Y, Ran W, Yan S, Zhu X, Luo Z, Ke H, Zhang K, Fang M, Sun J, Lou M. Inferior Frontal Sulcal Hyperintensity on Fluid-Attenuated Inversion Recovery Is Related to Cerebrospinal Fluid Clearance via Putative Meningeal Lymphatics. Aging Dis 2024; 16:1169-1179. [PMID: 38739939 PMCID: PMC11964441 DOI: 10.14336/ad.2024.0415] [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: 12/29/2023] [Accepted: 04/15/2024] [Indexed: 05/16/2024] Open
Abstract
Inferior frontal sulcal hyperintensity (IFSH) on FLAIR sequence may indicate elevated cerebrospinal fluid (CSF) wastes. The objective of this study was to investigate its association with the clearance function of putative meningeal lymphatic vessels (mLVs). We included patients who underwent FLAIR sequence and dynamic contrast MRI with intrathecal administration of contrast agent. The visibility of IFSH was quantitatively assessed by measuring the mean signal intensity of inferior frontal sulci on 2D FLAIR. The clearance function of putative mLVs was defined as the percentage change of signal unite ratio in the parasagittal dura from baseline to 4.5, 15 and 39 hours after intrathecal injection on dynamic contrast MRI. Additionally, imaging markers of cerebral small vessel disease, including white matter hyperintensities and enlarged perivascular spaces, were measured. Correlation analysis and linear regression were employed to verify the association of IFSH with the clearance function of mLVs. A total of 76 patients were included in the study. The visibility of IFSH was found to be associated with the percentage change of signal unite ratio in parasagittal dura from baseline to 15 and 39 hours in adjusted analyses. Furthermore, the visibility of IFSH was positively related to the age, scores of both periventricular and deep white matter hyperintensities, and the grade of enlarged perivascular spaces in centrum semiovale. These findings suggest that the visibility of IFSH on 2D FLAIR may serve as an indicator of clearance dysfunction of mLVs and may be implicated in the development of cerebral small vessel disease.
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Affiliation(s)
- Ziyu Zhou
- Department of Neurology, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China.
| | - Ying Zhou
- Department of Neurology, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China.
| | - Wang Ran
- Department of Neurology, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China.
| | - Shenqiang Yan
- Department of Neurology, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China.
| | - Xiao Zhu
- Department of Neurology, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China.
| | - Zhongyu Luo
- Department of Neurology, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China.
| | - Huihong Ke
- Department of Neurology, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China.
| | - Kemeng Zhang
- Department of Neurology, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China.
| | - Mengmeng Fang
- Department of Radiology, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China.
| | - Jianzhong Sun
- Department of Radiology, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China.
| | - Min Lou
- Department of Neurology, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China.
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8
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Wu LY, Chai YL, Cheah IK, Chia RSL, Hilal S, Arumugam TV, Chen CP, Lai MKP. Blood-based biomarkers of cerebral small vessel disease. Ageing Res Rev 2024; 95:102247. [PMID: 38417710 DOI: 10.1016/j.arr.2024.102247] [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: 04/10/2023] [Revised: 02/12/2024] [Accepted: 02/22/2024] [Indexed: 03/01/2024]
Abstract
Age-associated cerebral small vessel disease (CSVD) represents a clinically heterogenous condition, arising from diverse microvascular mechanisms. These lead to chronic cerebrovascular dysfunction and carry a substantial risk of subsequent stroke and vascular cognitive impairment in aging populations. Owing to advances in neuroimaging, in vivo visualization of cerebral vasculature abnormities and detection of CSVD, including lacunes, microinfarcts, microbleeds and white matter lesions, is now possible, but remains a resource-, skills- and time-intensive approach. As a result, there has been a recent proliferation of blood-based biomarker studies for CSVD aimed at developing accessible screening tools for early detection and risk stratification. However, a good understanding of the pathophysiological processes underpinning CSVD is needed to identify and assess clinically useful biomarkers. Here, we provide an overview of processes associated with CSVD pathogenesis, including endothelial injury and dysfunction, neuroinflammation, oxidative stress, perivascular neuronal damage as well as cardiovascular dysfunction. Then, we review clinical studies of the key biomolecules involved in the aforementioned processes. Lastly, we outline future trends and directions for CSVD biomarker discovery and clinical validation.
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Affiliation(s)
- Liu-Yun Wu
- Memory Aging and Cognition Centre, National University Health System, Singapore; Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Yuek Ling Chai
- Memory Aging and Cognition Centre, National University Health System, Singapore; Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Irwin K Cheah
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Neurobiology Programme, Centre for Life Sciences, National University of Singapore, Singapore
| | - Rachel S L Chia
- Memory Aging and Cognition Centre, National University Health System, Singapore; Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Saima Hilal
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Kent Ridge, Singapore
| | - Thiruma V Arumugam
- School of Pharmacy, Sungkyunkwan University, Suwon, Republic of Korea; Centre for Cardiovascular Biology and Disease Research, Department of Microbiology, Anatomy, Physiology and Pharmacology, School of Agriculture, Biomedicine and Environment, La Trobe University, Bundoora, VIC, Australia
| | - Christopher P Chen
- Memory Aging and Cognition Centre, National University Health System, Singapore; Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Mitchell K P Lai
- Memory Aging and Cognition Centre, National University Health System, Singapore; Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
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9
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Hansra GK, Jayasena T, Hosoki S, Poljak A, Lam BCP, Rust R, Sagare A, Zlokovic B, Thalamuthu A, Sachdev PS. Fluid biomarkers of the neurovascular unit in cerebrovascular disease and vascular cognitive disorders: A systematic review and meta-analysis. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2024; 6:100216. [PMID: 38510579 PMCID: PMC10951911 DOI: 10.1016/j.cccb.2024.100216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 01/30/2024] [Accepted: 02/16/2024] [Indexed: 03/22/2024]
Abstract
Background The disruption of the neurovascular unit (NVU), which maintains the integrity of the blood brain barrier (BBB), has been identified as a critical mechanism in the development of cerebrovascular and neurodegenerative disorders. However, the understanding of the pathophysiological mechanisms linking NVU dysfunction to the disorders is incomplete, and reliable blood biomarkers to measure NVU dysfunction are yet to be established. This systematic review and meta-analysis aimed to identify biomarkers associated with BBB dysfunction in large vessel disease, small vessel disease (SVD) and vascular cognitive disorders (VCD). Methods A literature search was conducted in PubMed, EMBASE, Scopus and PsychINFO to identify blood biomarkers related to dysfunction of the NVU in disorders with vascular pathologies published until 20 November 2023. Studies that assayed one or more specific markers in human serum or plasma were included. Quality of studies was assessed using the Newcastle-Ottawa Quality Assessment Scale. Effects were pooled and methodological heterogeneity examined using the random effects model. Results A total of 112 studies were included in this review. Where study numbers allowed, biomarkers were analysed using random effect meta-analysis for VCD (1 biomarker; 5 studies) and cerebrovascular disorders, including stroke and SVD (9 biomarkers; 29 studies) while all remaining biomarkers (n = 17 biomarkers; 78 studies) were examined through qualitative analysis. Results of the meta-analysis revealed that cerebrospinal fluid/serum albumin quotient (Q-Alb) reliably differentiates VCD patients from healthy controls (MD = 2.77; 95 % CI = 1.97-3.57; p < 0.0001) while commonly measured biomarkers of endothelial dysfunction (VEGF, VCAM-1, ICAM-1, vWF and E-selectin) and neuronal injury (NfL) were significantly elevated in vascular pathologies. A qualitative assessment of non-meta-analysed biomarkers revealed NSE, NfL, vWF, ICAM-1, VCAM-1, lipocalin-2, MMP-2 and MMP-9 levels to be upregulated in VCD, although these findings were not consistently replicated. Conclusions This review identifies several promising biomarkers of NVU dysfunction which require further validation. A panel of biomarkers representing multiple pathophysiological pathways may offer greater discriminative power in distinguishing possible disease mechanisms of VCD.
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Affiliation(s)
- Gurpreet Kaur Hansra
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Tharusha Jayasena
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Satoshi Hosoki
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
- Department of Neurology, National Cerebral and Cardiovascular Centre, Suita, Japan
| | - Anne Poljak
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
- Bioanalytical Mass Spectrometry Facility, Mark Wainwright Analytical Centre, University of New South Wales, NSW, Australia
| | - Ben Chun Pan Lam
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
- School of Psychology and Public Health, La Trobe University, Melbourne, Australia
| | - Ruslan Rust
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Abhay Sagare
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Berislav Zlokovic
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
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10
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Raghavan S, Przybelski SA, Lesnick TG, Fought AJ, Reid RI, Gebre RK, Windham BG, Algeciras‐Schimnich A, Machulda MM, Vassilaki M, Knopman DS, Jack CR, Petersen RC, Graff‐Radford J, Vemuri P. Vascular risk, gait, behavioral, and plasma indicators of VCID. Alzheimers Dement 2024; 20:1201-1213. [PMID: 37932910 PMCID: PMC10916988 DOI: 10.1002/alz.13540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 10/06/2023] [Accepted: 10/11/2023] [Indexed: 11/08/2023]
Abstract
INTRODUCTION Cost-effective screening tools for vascular contributions to cognitive impairment and dementia (VCID) has significant implications. We evaluated non-imaging indicators of VCID using magnetic resonance imaging (MRI)-measured white matter (WM) damage and hypothesized that these indicators differ based on age. METHODS In 745 participants from the Mayo Clinic Study of Aging (≥50 years of age) with serial WM assessments from diffusion MRI and fluid-attenuated inversion recovery (FLAIR)-MRI, we examined associations between baseline non-imaging indicators (demographics, vascular risk factors [VRFs], gait, behavioral, plasma glial fibrillary acidic protein [GFAP], and plasma neurofilament light chain [NfL]) and WM damage across three age tertiles. RESULTS VRFs and gait were associated with diffusion changes even in low age strata. All measures (VRFs, gait, behavioral, plasma GFAP, plasma NfL) were associated with white matter hyperintensities (WMHs) but mainly in intermediate and high age strata. DISCUSSION Non-imaging indicators of VCID were related to WM damage and may aid in screening participants and assessing outcomes for VCID. HIGHLIGHTS Non-imaging indicators of VCID can aid in prediction of MRI-measured WM damage but their importance differed by age. Vascular risk and gait measures were associated with early VCID changes measured using diffusion MRI. Plasma markers explained variability in WMH across age strata. Most non-imaging measures explained variability in WMH and vascular WM scores in intermediate and older age groups. The framework developed here can be used to evaluate new non-imaging VCID indicators proposed in the future.
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Affiliation(s)
| | | | - Timothy G. Lesnick
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
| | - Angela J. Fought
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
| | - Robert I. Reid
- Department of Information TechnologyMayo ClinicRochesterMinnesotaUSA
| | | | - B. Gwen Windham
- Department of MedicineUniversity of Mississippi Medical CenterJacksonUSA
| | | | | | - Maria Vassilaki
- Department of Quantitative Health SciencesMayo ClinicRochesterMinnesotaUSA
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11
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Duan Y, Tang HX. Efficacy of enhanced extracorporeal counterpulsation combined with atorvastatin in the treatment of cognitive impairment after stroke. World J Psychiatry 2023; 13:1027-1036. [PMID: 38186722 PMCID: PMC10768497 DOI: 10.5498/wjp.v13.i12.1027] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 10/20/2023] [Accepted: 11/08/2023] [Indexed: 12/19/2023] Open
Abstract
BACKGROUND Cerebral apoplexy patients are prone to cognitive impairment, and it is very important to choose appropriate treatment methods to improve their cognitive impairment after stroke. AIM To evaluate the effects of enhanced external counterpulsation (EECP) in conjunction with atorvastatin on cognitive function, neurotransmitter levels, and the repair of brain tissue damage in patients with cognitive impairment due to stroke. METHODS In this retrospective study, data from 60 patients with poststroke cognitive impairment due to stroke who were treated in our hospital from February 2021 to July 2022 were analyzed and divided into a treatment group (n = 30) and a control group (n = 30) according to the different nursing methods applied. Patients in the treatment group received EECP in addition to atorvastatin, while those in the control group received atorvastatin alone. Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA) and activities of daily living (ADL) scale scores were compared between the two groups. Additionally, the two groups were compared in terms of serum acetylcholine (ACh), acetylcholinesterase (AChE), nitric oxide (NO), endothelin-1 (ET-1), β2-microglobulin (β2-MG), glial fibrillary acidic protein (GFAP), and visinin-like protein 1 (VILIP-1) in the serum. Blood flow measurements from the anterior cerebral artery (ACA), middle cerebral artery (MCA) and posterior cerebral artery (PCA) were compared between the two groups before and after treatment, and the pulsatility index (PI) and resistance index (RI) of each artery were determined. RESULTS MMSE, MoCA, and ADL scores all improved in both groups following treatment, with the study group showing more improvement than the control group (P < 0.05). After treatment, there were statistically significant increases in both ACh and NO levels, whereas decreases occurred in AChE, ET-1, β2-MG, VILIP-1, and GFAP, levels and the PI and RI of the left-ACA, right-ACA, left-MCA, right-MCA, left-PCA, and right-PCA. The study group showed greater gains in all metrics than the control group (P < 0.05). CONCLUSION EECP combined with atorvastatin is effective in the treatment of cognitive impairment after stroke and can effectively improve the cognitive function, neurotransmitter levels, and brain tissue damage status of patients.
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Affiliation(s)
- Yan Duan
- Department of Rehabilitation, Shengjing Hospital of China Medical University, Shenyang 110000, Liaoning Province, China
| | - Hui-Xia Tang
- Department of Rehabilitation, Shengjing Hospital of China Medical University, Shenyang 110000, Liaoning Province, China
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12
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Hosoki S, Hansra GK, Jayasena T, Poljak A, Mather KA, Catts VS, Rust R, Sagare A, Kovacic JC, Brodtmann A, Wallin A, Zlokovic BV, Ihara M, Sachdev PS. Molecular biomarkers for vascular cognitive impairment and dementia. Nat Rev Neurol 2023; 19:737-753. [PMID: 37957261 DOI: 10.1038/s41582-023-00884-1] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/29/2023] [Indexed: 11/15/2023]
Abstract
As disease-specific interventions for dementia are being developed, the ability to identify the underlying pathology and dementia subtypes is increasingly important. Vascular cognitive impairment and dementia (VCID) is the second most common cause of dementia after Alzheimer disease, but progress in identifying molecular biomarkers for accurate diagnosis of VCID has been relatively limited. In this Review, we examine the roles of large and small vessel disease in VCID, considering the underlying pathophysiological processes that lead to vascular brain injury, including atherosclerosis, arteriolosclerosis, ischaemic injury, haemorrhage, hypoperfusion, endothelial dysfunction, blood-brain barrier breakdown, inflammation, oxidative stress, hypoxia, and neuronal and glial degeneration. We consider the key molecules in these processes, including proteins and peptides, metabolites, lipids and circulating RNA, and consider their potential as molecular biomarkers alone and in combination. We also discuss the challenges in translating the promise of these biomarkers into clinical application.
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Affiliation(s)
- Satoshi Hosoki
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- Department of Neurology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Gurpreet K Hansra
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Tharusha Jayasena
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Anne Poljak
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- Bioanalytical Mass Spectrometry Facility, Mark Wainwright Analytical Centre, University of New South Wales, Sydney, NSW, Australia
| | - Karen A Mather
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Vibeke S Catts
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Ruslan Rust
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Abhay Sagare
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jason C Kovacic
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, New York, NY, USA
- Victor Chang Cardiac Research Institute, Darlinghurst, NSW, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney, NSW, Australia
| | - Amy Brodtmann
- Department of Neurology, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Anders Wallin
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Berislav V Zlokovic
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Masafumi Ihara
- Department of Neurology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia.
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13
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Yue JH, Zhang QH, Yang X, Wang P, Sun XC, Yan SY, Li A, Zhao WW, Cao DN, Wang Y, Wei ZY, Li XL, Zhu LW, Yang G, Mah JZ. Magnetic resonance imaging of white matter in Alzheimer's disease: a global bibliometric analysis from 1990 to 2022. Front Neurosci 2023; 17:1163809. [PMID: 37304017 PMCID: PMC10248146 DOI: 10.3389/fnins.2023.1163809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Accepted: 04/26/2023] [Indexed: 06/13/2023] Open
Abstract
Background Alzheimer's disease (AD) is a common, progressive, irreversible, and fatal neurodegenerative disorder with rapidly increasing worldwide incidence. Although much research on magnetic resonance imaging (MRI) of the white matter (WM) in AD has been published, no bibliometric analysis study has investigated this issue. Thus, this study aimed to provide an overview of the current status, hotspots, and trends in MRI of WM in AD. Methods We searched for records related to MRI studies of WM in AD from 1990 to 2022 in the Web of Science Core Collection (WOSCC) database. CiteSpace (version 5.1.R8) and VOSviewer (version 1.6.19) software were used for bibliometric analyses. Results A total of 2,199 articles were obtained from this study. From 1990 to 2022, the number of published articles showed exponential growth of y = 4.1374e0.1294x, with an average of 17.9 articles per year. The top country and institutions were the United States and the University of California Davis, accounting for 44.52 and 5.32% of the total studies, respectively. The most productive journal was Neurology, and the most co-cited journal was Lancet Neurology. Decarli C was the most productive author. The current research frontier trend focuses on the association between small vessel disease and AD, the clinical application and exploration of diffusion MRI, and related markers. Conclusion This study provides an in-depth overview of publications on MRI of WM in AD, identifying the current research status, hotspots, and frontier trends in the field.
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Affiliation(s)
- Jin-huan Yue
- Department of Tuina, Acupuncture and Moxibustion, Shenzhen Jiuwei Chinese Medicine Clinic, Shenzhen, China
| | - Qin-hong Zhang
- Department of Tuina, Acupuncture and Moxibustion, Shenzhen Jiuwei Chinese Medicine Clinic, Shenzhen, China
| | - Xu Yang
- Graduate School of Heilongjiang University of Chinese Medicine, Harbin, China
| | - Peng Wang
- Department of Oncology, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China
| | - Xu-Chen Sun
- Graduate School of Heilongjiang University of Chinese Medicine, Harbin, China
| | - Shi-Yan Yan
- International Acupuncture and Moxibustion Innovation Institute, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Ang Li
- Sanofifi-Aventis China Investment Co., Ltd, Beijing, China
| | | | - Dan-Na Cao
- Division of CT and MRI, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China
| | - Yang Wang
- Division of CT and MRI, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China
| | - Ze-Yi Wei
- Graduate School of Heilongjiang University of Chinese Medicine, Harbin, China
| | - Xiao-Ling Li
- Division of CT and MRI, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China
| | - Lu-Wen Zhu
- Department of Rehabilitation, Second Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China
| | - Guanhu Yang
- Department of Specialty Medicine, Ohio University, Athens, OH, United States
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14
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Shi G, Ke D, Gong P, Yu P, Zhou J, Wang M, Zhang X, Wang X, Guo M, Xu M, Zhou R. Serum YKL-40 Levels and White Matter Hyperintensities in Patients with Acute Ischemic Stroke. J Inflamm Res 2023; 16:311-319. [PMID: 36721527 PMCID: PMC9884433 DOI: 10.2147/jir.s398701] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 01/18/2023] [Indexed: 01/25/2023] Open
Abstract
Background White matter hyperintensity (WMH) is associated with risk of acute ischemic stroke (AIS) and poor outcomes after AIS. The purpose of this prospective study was to evaluate the association between serum YKL-40 levels and WMH burden in patients with AIS. Methods From February 2020 to March 2021, a total of 672 consecutive AIS patients with magnetic resonance imaging data were prospectively recruited form two centers. Serum YKL-40 levels were quantified using enzyme-linked immunosorbent assay. The burden of WMH was semiquantitatively measured by the Fazekas visual grading scale. According to severity of overall WMH, patients were dichotomized into none-mild WMH group (Fazekas score 0-2) or moderate-severe WMH group (Fazekas score 3-6). Besides, based on severity of periventricular WMH (PV-WMH) and deep WMH (D-WMH), patients were categorized as none-mild (Fazekas score 0-1) or moderate-severe (Fazekas score 2-3). Results Among the 672 patients, 335 (49.9%) participants were identified with moderate-severe overall WMH, 326 (48.5%) with moderate-severe PV-WMH and 262 (39.0%) with moderate-severe D-WMH. Compared with the first quartile of serum YKL-40, the adjusted odds ratio (OR) of the fourth quartile for moderate-severe PV-WMH was 2.473 (95% confidence interval [CI] 1.316-4.646; P=0.005). No significant association was observed between YKL-40 and overall WMH (OR 0.762; 95% CI 0.434-1.336; P=0.343) or D-WMH (OR 0.695; 95% CI 0.413-1.171; P=0.172). Conclusion Our results suggested that higher YKL-40 levels appeared to be associated with PV-WMH, but not with overall WMH or D-WMH in patients with AIS.
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Affiliation(s)
- Guomei Shi
- Department of Neurology, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Stroke Center, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China
| | - Dongdong Ke
- Stroke Center, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Department of Rehabilitation, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China
| | - Pengyu Gong
- Department of Neurology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, People’s Republic of China,Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, People’s Republic of China
| | - Peng Yu
- Stroke Center, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Department of Radiology, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China
| | - Junshan Zhou
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, People’s Republic of China
| | - Meng Wang
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, People’s Republic of China
| | - Xiaohao Zhang
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, People’s Republic of China
| | - Xiaorong Wang
- Department of Neurology, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Stroke Center, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China
| | - Minwang Guo
- Department of Neurology, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Stroke Center, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China
| | - Mingyang Xu
- Department of Neurology, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Stroke Center, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China
| | - Rujuan Zhou
- Department of Neurology, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Stroke Center, the Taixing People’s Hospital, Taixing, Jiangsu, People’s Republic of China,Correspondence: Rujuan Zhou, Tel +86-13951158499, Email
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