1
|
Torres-Simon L, Del Cerro-León A, Yus M, Bruña R, Gil-Martinez L, Dolado AM, Maestú F, Arrazola-Garcia J, Cuesta P. Decoding the best automated segmentation tools for vascular white matter hyperintensities in the aging brain: a clinician's guide to precision and purpose. GeroScience 2024:10.1007/s11357-024-01238-5. [PMID: 38869712 DOI: 10.1007/s11357-024-01238-5] [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: 01/09/2024] [Accepted: 06/04/2024] [Indexed: 06/14/2024] Open
Abstract
White matter hyperintensities of vascular origin (WMH) are commonly found in individuals over 60 and increase in prevalence with age. The significance of WMH is well-documented, with strong associations with cognitive impairment, risk of stroke, mental health, and brain structure deterioration. Consequently, careful monitoring is crucial for the early identification and management of individuals at risk. Luckily, WMH are detectable and quantifiable on standard MRI through visual assessment scales, but it is time-consuming and has high rater variability. Addressing this issue, the main aim of our study is to decipher the utility of quantitative measures of WMH, assessed with automatic tools, in establishing risk profiles for cerebrovascular deterioration. For this purpose, first, we work to determine the most precise WMH segmentation open access tool compared to clinician manual segmentations (LST-LPA, LST-LGA, SAMSEG, and BIANCA), offering insights into methodology and usability to balance clinical precision with practical application. The results indicated that supervised algorithms (LST-LPA and BIANCA) were superior, particularly in detecting small WMH, and can improve their consistency when used in parallel with unsupervised tools (LST-LGA and SAMSEG). Additionally, to investigate the behavior and real clinical utility of these tools, we tested them in a real-world scenario (N = 300; age > 50 y.o. and MMSE > 26), proposing an imaging biomarker for moderate vascular damage. The results confirmed its capacity to effectively identify individuals at risk comparing the cognitive and brain structural profiles of cognitively healthy adults above and below the resulted threshold.
Collapse
Affiliation(s)
- Lucia Torres-Simon
- Center of Cognitive and Computational Neuroscience, Universidad Complutense de Madrid (UCM), Madrid, Spain
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid (UCM), Madrid, Spain
| | - Alberto Del Cerro-León
- Center of Cognitive and Computational Neuroscience, Universidad Complutense de Madrid (UCM), Madrid, Spain.
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid (UCM), Madrid, Spain.
- Facultad de Psicología, Campus de Somosaguas, 28223, Pozuelo de Alarcón, Spain.
| | - Miguel Yus
- Health Research Institute of the Hospital Clínico San Carlos (IdISSC), 28040, Madrid, Spain
- Department of Diagnostic Imaging, Hospital Clínico San Carlos, 28040, Madrid, Spain
| | - Ricardo Bruña
- Center of Cognitive and Computational Neuroscience, Universidad Complutense de Madrid (UCM), Madrid, Spain
- Health Research Institute of the Hospital Clínico San Carlos (IdISSC), 28040, Madrid, Spain
- Department of Radiology, Complutense University of Madrid, 28040, Madrid, Spain
| | - Lidia Gil-Martinez
- Foundation for Biomedical Research at Hospital Clínico San Carlos (FIBHCSC), Hospital Clínico San Carlos, 28040, Madrid, Spain
| | - Alberto Marcos Dolado
- Health Research Institute of the Hospital Clínico San Carlos (IdISSC), 28040, Madrid, Spain
- Department of Medicine, School of Medicine, Complutense University of Madrid, 28040, Madrid, Spain
- Department of Neurology, Hospital Clínico San Carlos, 28040, Madrid, Spain
| | - Fernando Maestú
- Center of Cognitive and Computational Neuroscience, Universidad Complutense de Madrid (UCM), Madrid, Spain
- Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid (UCM), Madrid, Spain
- Health Research Institute of the Hospital Clínico San Carlos (IdISSC), 28040, Madrid, Spain
| | - Juan Arrazola-Garcia
- Health Research Institute of the Hospital Clínico San Carlos (IdISSC), 28040, Madrid, Spain
- Department of Diagnostic Imaging, Hospital Clínico San Carlos, 28040, Madrid, Spain
- Department of Radiology, Rehabilitation and Radiation Therapy, School of Medicine, Complutense University of Madrid, 28040, Madrid, Spain
| | - Pablo Cuesta
- Center of Cognitive and Computational Neuroscience, Universidad Complutense de Madrid (UCM), Madrid, Spain
- Health Research Institute of the Hospital Clínico San Carlos (IdISSC), 28040, Madrid, Spain
- Department of Radiology, Complutense University of Madrid, 28040, Madrid, Spain
| |
Collapse
|
2
|
Torres-Simon L, Del Cerro-León A, Yus M, Bruña R, Gil-Martinez L, Marcos Dolado A, Maestú F, Arrazola-Garcia J, Cuesta P. Decoding the Best Automated Segmentation Tools for Vascular White Matter Hyperintensities in the Aging Brain: A Clinician's Guide to Precision and Purpose. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2023.03.30.23287946. [PMID: 38798616 PMCID: PMC11118558 DOI: 10.1101/2023.03.30.23287946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Cerebrovascular damage from small vessel disease (SVD) occurs in healthy and pathological aging. SVD markers, such as white matter hyperintensities (WMH), are commonly found in individuals over 60 and increase in prevalence with age. WMHs are detectable on standard MRI by adhering to the STRIVE criteria. Currently, visual assessment scales are used in clinical and research scenarios but is time-consuming and has rater variability, limiting its practicality. Addressing this issue, our study aimed to determine the most precise WMH segmentation software, offering insights into methodology and usability to balance clinical precision with practical application. This study employed a dataset comprising T1, FLAIR, and DWI images from 300 cognitively healthy older adults. WMHs in this cohort were evaluated using four automated neuroimaging tools: Lesion Prediction Algorithm (LPA) and Lesion Growth Algorithm (LGA) from Lesion Segmentation Tool (LST), Sequence Adaptive Multimodal Segmentation (SAMSEG), and Brain Intensity Abnormalities Classification Algorithm (BIANCA). Additionally, clinicians manually segmented WMHs in a subsample of 45 participants to establish a gold standard. The study assessed correlations with the Fazekas scale, algorithm performance, and the influence of WMH volume on reliability. Results indicated that supervised algorithms were superior, particularly in detecting small WMHs, and can improve their consistency when used in parallel with unsupervised tools. The research also proposed a biomarker for moderate vascular damage, derived from the top 95th percentile of WMH volume in healthy individuals aged 50 to 60. This biomarker effectively differentiated subgroups within the cohort, correlating with variations in brain structure and behavior.
Collapse
|
3
|
Axelsson Andrén E, Kettunen P, Bjerke M, Rolstad S, Zetterberg H, Blennow K, Wallin A, Svensson J. Diagnostic Performance of Cerebrospinal Fluid Neurofilament Light Chain and Soluble Amyloid-β Protein Precursor β in the Subcortical Small Vessel Type of Dementia. J Alzheimers Dis 2023; 96:1515-1528. [PMID: 37980667 PMCID: PMC10741327 DOI: 10.3233/jad-230680] [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] [Accepted: 09/27/2023] [Indexed: 11/21/2023]
Abstract
BACKGROUND The subcortical small vessel type of dementia (SSVD) is a common subtype of vascular dementia, but there is a lack of disease-specific cerebrospinal fluid (CSF) biomarkers. OBJECTIVE We investigated whether CSF concentrations of neurofilament light chain (NFL), soluble amyloid-β protein precursor α (sAβPPα), sAβPPβ, and CSF/serum albumin ratio could separate SSVD from healthy controls, Alzheimer's disease (AD), and mixed dementia (combined AD and SSVD). METHODS This was a mono-center study of patients with SSVD (n = 38), AD (n = 121), mixed dementia (n = 62), and controls (n = 96). The CSF biomarkers were measured using immunoassays, and their independent contribution to the separation between groups were evaluated using the Wald test. Then, the area under the receiver operating characteristics curve (AUROC) and 95% confidence intervals (CIs) were calculated. RESULTS Elevated neurofilament light chain (NFL) and decreased sAβPPβ independently separated SSVD from controls, and sAβPPβ also distinguished SSVD from AD and mixed dementia. The combination of NFL and sAβPPβ discriminated SSVD from controls with high accuracy (AUROC 0.903, 95% CI: 0.834-0.972). Additionally, sAβPPβ combined with the core AD biomarkers (amyloid-β42, total tau, and phosphorylated tau181) had a high ability to separate SSVD from AD (AUROC 0.886, 95% CI: 0.830-0.942) and mixed dementia (AUROC 0.903, 95% CI: 0.838-0.968). CONCLUSIONS The high accuracy of NFL and sAβPPβ to separate SSVD from controls supports that SSVD is a specific diagnostic entity. Moreover, SSVD was distinguished from AD and mixed dementia using sAβPPβ in combination with the core AD biomarkers.
Collapse
Affiliation(s)
- Elin Axelsson Andrén
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Petronella Kettunen
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Department of Psychiatry, Cognition and Old Age Psychiatry, Sahlgrenska University Hospital, Region Västra Götaland, Mölndal, Sweden
| | - Maria Bjerke
- Laboratory of Clinical Neurochemistry, Department of Clinical Biology, Universitair Ziekenhuis Brussel, and Center for Neurosciences (C4N), Vrije Universiteit Brussel, Brussels, Belgium
- Department of Biomedical Sciences and Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Sindre Rolstad
- Department of Psychology, Faculty of Social Science, University of Gothenburg, Gothenburg, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Labratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, Institute of Neurology, University College London, London, UK
- UK Dementia Research Institute at University College London, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Labratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Anders Wallin
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Department of Psychiatry, Cognition and Old Age Psychiatry, Sahlgrenska University Hospital, Region Västra Götaland, Mölndal, Sweden
| | - Johan Svensson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Internal Medicine, Skaraborg Central Hospital, Region Västra Götaland, Skövde, Sweden
| |
Collapse
|
4
|
Chong JR, Hilal S, Ashton NJ, Karikari TK, Reilhac A, Vrooman H, Schöll M, Zetterberg H, Blennow K, Chen CP, Lai MKP. Brain atrophy and white matter hyperintensities are independently associated with plasma neurofilament light chain in an Asian cohort of cognitively impaired patients with concomitant cerebral small vessel disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12396. [PMID: 36994314 PMCID: PMC10040495 DOI: 10.1002/dad2.12396] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 12/14/2022] [Accepted: 12/20/2022] [Indexed: 03/28/2023]
Abstract
Introduction Plasma neurofilament light chain (NfL) is a potential biomarker for neurodegeneration in Alzheimer's disease (AD), ischemic stroke, and non-dementia cohorts with cerebral small vessel disease (CSVD). However, studies of AD in populations with high prevalence of concomitant CSVD to evaluate associations of brain atrophy, CSVD, and amyloid beta (Aβ) burden on plasma NfL are lacking. Methods Associations were tested between plasma NfL and brain Aβ, medial temporal lobe atrophy (MTA) as well as neuroimaging features of CSVD, including white matter hyperintensities (WMH), lacunes, and cerebral microbleeds. Results We found that participants with either MTA (defined as MTA score ≥2; neurodegeneration [N]+WMH-) or WMH (cut-off for log-transformed WMH volume at 50th percentile; N-WMH+) manifested increased plasma NfL levels. Participants with both pathologies (N+WMH+) showed the highest NfL compared to N+WMH-, N-WMH+, and N-WMH- individuals. Discussion Plasma NfL has potential utility in stratifying individual and combined contributions of AD pathology and CSVD to cognitive impairment.
Collapse
Affiliation(s)
- Joyce R. Chong
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
| | - Saima Hilal
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
- Saw Swee Hock School of Public HealthNational University of Singapore and National University Health SystemKent RidgeSingapore
| | - Nicholas J. Ashton
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Wallenberg Centre for Molecular and Translational MedicineUniversity of GothenburgGothenburgSweden
- King's College LondonInstitute of PsychiatryPsychology and NeuroscienceMaurice Wohl Institute Clinical Neuroscience InstituteLondonUK
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS FoundationLondonUK
| | - Thomas K. Karikari
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Anthonin Reilhac
- Clinical Imaging Research CentreYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
| | - Henri Vrooman
- Department of Radiology and Nuclear MedicineErasmus Medical CenterRotterdamthe Netherlands
| | - Michael Schöll
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Wallenberg Centre for Molecular and Translational MedicineUniversity of GothenburgGothenburgSweden
- Department of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Department of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
- UK Dementia Research Institute at UCLLondonUK
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalGothenburgSweden
- Hong Kong Center for Neurodegenerative Diseasesthe Hong Kong University of Science and TechnologyHong Kong Science ParkShatinNew TerritoriesHong Kong SARChina
| | - Kaj Blennow
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalGothenburgSweden
| | - Christopher P. Chen
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
- Department of Psychological MedicineYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
| | - Mitchell K. P. Lai
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
| |
Collapse
|
5
|
Liu CZ, Guo DS, Ma JJ, Dong LR, Chang QQ, Yang HQ, Liang KK, Li XH, Yang DW, Fan YY, Gu Q, Chen SY, Li DS. Correlation of matrix metalloproteinase 3 and matrix metalloproteinase 9 levels with non-motor symptoms in patients with Parkinson’s disease. Front Aging Neurosci 2022; 14:889257. [PMID: 36072482 PMCID: PMC9444063 DOI: 10.3389/fnagi.2022.889257] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 08/01/2022] [Indexed: 11/13/2022] Open
Abstract
Objective Matrix metalloproteinases (MMPs) are essential for tissue formation, neuronal network remodeling, and blood–brain barrier integrity. MMPs have been widely studied in acute brain diseases. However, the relationship with Parkinson’s disease (PD) remains unclear. The purpose of this study was to evaluate the serum MMP3 and MMP9 levels of PD patients and analyze their correlation with non-motor symptoms. Methods In this cross-sectional study, we recruited 73 patients with idiopathic PD and 64 healthy volunteers. Serum MMP3 and MMP9 levels were measured by enzyme-linked immunosorbent assay (ELISA). Patients with PD were assessed for non-motor symptoms using the Non-motor Symptoms Scale (NMSS) and Parkinson’s disease sleep scale (PDSS) and Mini Mental State Examination (MMSE). Results Serum MMP3 levels were significantly decreased in PD patients, predominantly those with early-stage PD, compared with controls [12.56 (9.30, 17.44) vs. 15.37 (11.33, 24.41) ng/ml; P = 0.004], and the serum MMP9 levels of PD patients were significantly higher than those of healthy controls [522 (419, 729) vs. 329 (229, 473) ng/ml; P < 0.001]. MMP3 levels were positively correlated with the NMSS total score (r = 0.271, P = 0.020) and the single-item scores for item six, assessing the gastrointestinal tract (r = 0.333, P = 0.004), and there was an inverse correlation between serum MMP3 levels and PDSS score (r = –0.246, P = 0.036); meanwhile, MMP9 levels were positively correlated with the NMSS total score (r = 0.234, P = 0.047), and higher serum MMP9 levels were detected in the cognitive dysfunction subgroup than in the cognitively intact subgroup [658 (504, 877) vs. 502 (397, 608) ng/ml, P = 0.008]. Conclusion The serum MMP3 level of PD patients (especially early-stage patients) was significantly lower than that of the healthy control group, and the MMP9 level was significantly higher than that of the healthy control group. MMP3 and MMP9 levels correlate with sleep disturbance and cognitive function in PD patients, respectively.
Collapse
Affiliation(s)
- Chuan Ze Liu
- Department of Neurology, Henan University People’s Hospital, Zhengzhou, China
- Department of Neurology, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Da Shuai Guo
- Department of Neurology, Henan University People’s Hospital, Zhengzhou, China
- Department of Neurology, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Jian Jun Ma
- Department of Neurology, Henan University People’s Hospital, Zhengzhou, China
- Department of Neurology, Henan Provincial People’s Hospital, Zhengzhou, China
- Department of Neurology, Zhengzhou University People’s Hospital, Zhengzhou, China
- *Correspondence: Jian Jun Ma,
| | - Lin Rui Dong
- Department of Neurology, Henan University People’s Hospital, Zhengzhou, China
- Department of Neurology, Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Qing Qing Chang
- Department of Neurology, Henan University People’s Hospital, Zhengzhou, China
- Department of Neurology, Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Hong Qi Yang
- Department of Neurology, Henan University People’s Hospital, Zhengzhou, China
- Department of Neurology, Henan Provincial People’s Hospital, Zhengzhou, China
- Department of Neurology, Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Ke Ke Liang
- Department of Neurology, Henan University People’s Hospital, Zhengzhou, China
- Department of Neurology, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Xiao Huan Li
- Department of Neurology, Henan University People’s Hospital, Zhengzhou, China
- Department of Neurology, Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Da Wei Yang
- Department of Neurology, Henan University People’s Hospital, Zhengzhou, China
- Department of Neurology, Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Yong Yan Fan
- Department of Neurology, Henan University People’s Hospital, Zhengzhou, China
- Department of Neurology, Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Qi Gu
- Department of Neurology, Henan University People’s Hospital, Zhengzhou, China
- Department of Neurology, Henan Provincial People’s Hospital, Zhengzhou, China
- Department of Neurology, Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Si Yuan Chen
- Department of Neurology, Henan University People’s Hospital, Zhengzhou, China
- Department of Neurology, Henan Provincial People’s Hospital, Zhengzhou, China
- Department of Neurology, Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Dong Sheng Li
- Department of Neurology, Henan University People’s Hospital, Zhengzhou, China
- Department of Neurology, Henan Provincial People’s Hospital, Zhengzhou, China
- Department of Neurology, Zhengzhou University People’s Hospital, Zhengzhou, China
| |
Collapse
|
6
|
Kettunen P, Bjerke M, Eckerström C, Jonsson M, Zetterberg H, Blennow K, Svensson J, Wallin A. Blood-brain barrier dysfunction and reduced cerebrospinal fluid levels of soluble amyloid precursor protein-β in patients with subcortical small-vessel disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12296. [PMID: 35356486 PMCID: PMC8949877 DOI: 10.1002/dad2.12296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 01/13/2022] [Accepted: 01/30/2022] [Indexed: 11/30/2022]
Abstract
Introduction Subcortical small-vessel disease (SSVD) is the most common vascular cognitive disorder. However, because no disease-specific cerebrospinal fluid (CSF) biomarkers are available for SSVD, our aim was to identify such markers. Methods We included 170 healthy controls and patients from the Gothenburg Mild Cognitive Impairment (MCI) study clinically diagnosed with SSVD dementia, Alzheimer's disease (AD), or mixed AD/SSVD. We quantified CSF levels of amyloid-β (Aβ)x-38, Aβx-40, Aβx-42, as well as soluble amyloid precursor protein (sAPP)-α and sAPP-β. Results sAPP-β was lower in SSVD patients than in AD patients and controls. Receiver-operating characteristic (ROC) analyses showed that sAPP-β moderately separated SSVD from AD and controls. Moreover, the CSF/serum albumin ratio was elevated exclusively in SSVD and could moderately separate SSVD from the other groups in ROC analyses. Discussion SSVD has a biomarker profile that differs from that of AD and controls, and to some extent also from mixed AD/SSVD, suggesting that signs of blood-brain barrier (BBB) dysfunction and sAPP-β could be additional tools to diagnose SSVD. Highlights Patients with subcortical small-vessel disease (SSVD) exhibited reduced levels of sAPP-β and disturbances of the blood-brain barrier (BBB).This biochemical pattern is different from that of Alzheimer's disease (AD) and to some degree from that of mixed AD/SSVD.Our findings are speaking in favor of the concept that SSVD is a distinct vascular cognitive disorder (VCD) form.
Collapse
Affiliation(s)
- Petronella Kettunen
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Maria Bjerke
- Laboratory of Neurochemistry, Department of Clinical Biology and Center for NeurosciencesUniversitair Ziekenhuis BrusselBrusselsBelgium
- Department of Biomedical SciencesInstitute Born‐BungeUniversity of AntwerpAntwerpBelgium
| | - Carl Eckerström
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Department of Immunology and Transfusion MedicineSahlgrenska University HospitalGothenburgSweden
| | - Michael Jonsson
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
- UK Dementia Research Institute at UCLLondonUK
- Hong Kong Center for Neurodegenerative DiseasesHong KongChina
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - Johan Svensson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Region Västra Götaland, Department of Internal MedicineSkaraborg Central HospitalSkövdeSweden
| | - Anders Wallin
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| |
Collapse
|
7
|
Jeppsson A, Bjerke M, Hellström P, Blennow K, Zetterberg H, Kettunen P, Wikkelsø C, Wallin A, Tullberg M. Shared CSF Biomarker Profile in Idiopathic Normal Pressure Hydrocephalus and Subcortical Small Vessel Disease. Front Neurol 2022; 13:839307. [PMID: 35309577 PMCID: PMC8927666 DOI: 10.3389/fneur.2022.839307] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Accepted: 01/27/2022] [Indexed: 11/13/2022] Open
Abstract
IntroductionIn this study, we examine similarities and differences between 52 patients with idiopathic normal pressure hydrocephalus (iNPH) and 17 patients with subcortical small vessel disease (SSVD), in comparison to 28 healthy controls (HCs) by a panel of cerebrospinal fluid (CSF) biomarkers.MethodsWe analyzed soluble amyloid precursor protein alpha (sAPPα) and beta (sAPPβ), Aβ isoforms −38, −40, and −42, neurofilament light protein (NFL), glial fibrillary acidic protein (GFAP), myelin basic protein (MBP), matrix metalloproteinases (MMP −1, −2, −3, −9, and −10), and tissue inhibitors of metalloproteinase 1 (TIMP1). Radiological signs of white matter damage were scored using the age-related white matter changes (ARWMC) scale.ResultsAll amyloid fragments were reduced in iNPH and SSVD (p < 0.05), although more in iNPH than in SSVD in comparison to HC. iNPH and SSVD showed comparable elevations of NFL, MBP, and GFAP (p < 0.05). MMPs were similar in all three groups except for MMP-10, which was increased in iNPH and SSVD. Patients with iNPH had larger ventricles and fewer WMCs than patients with SSVD.ConclusionThe results indicate that patients with iNPH and SSVD share common features of subcortical neuronal degeneration, demyelination, and astroglial response. The reduction in all APP-derived proteins characterizing iNPH patients is also present, indicating that SSVD encompasses similar pathophysiological phenomena as iNPH.
Collapse
Affiliation(s)
- Anna Jeppsson
- Hydrocephalus Research Unit, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- *Correspondence: Anna Jeppsson
| | - Maria Bjerke
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Department of Clinical Chemistry, Universitair Ziekenhuis Brussel and Center for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium
- Department of Biomedical Sciences, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Per Hellström
- Hydrocephalus Research Unit, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, United Kingdom
- UK Dementia Research Institute at UCL, London, United Kingdom
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, Hong Kong SAR, China
| | - Petronella Kettunen
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Carsten Wikkelsø
- Hydrocephalus Research Unit, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anders Wallin
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Mats Tullberg
- Hydrocephalus Research Unit, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| |
Collapse
|
8
|
Narasimhan M, Schwartz R, Halliday G. Parkinsonism and cerebrovascular disease. J Neurol Sci 2021; 433:120011. [PMID: 34686356 DOI: 10.1016/j.jns.2021.120011] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 09/01/2021] [Accepted: 09/29/2021] [Indexed: 11/27/2022]
Abstract
The relationship between cerebrovascular disease and parkinsonism is commonly seen in everyday clinical practice but remains ill-defined and under-recognised with little guidance for the practising neurologist. We attempt to define this association and to illustrate key clinical, radiological and pathological features of the syndrome of Vascular Parkinsonism (VaP). VaP is a major cause of morbidity in the elderly associated with falls, hip fractures and cognitive impairment. Although acute parkinsonism is reported in the context of an acute cerebrovascular event, the vast majority of VaP presents as an insidious syndrome usually in the context of vascular risk factors and radiological evidence of small vessel disease. There may be an anatomic impact on basal ganglia neuronal networks, however the effect of small vessel disease (SVD) on these pathways is not clear. There are now established reporting standards for radiological features of SVD on MRI. White matter hyperintensities and lacunes have been thought to be the representative radiological features of SVD but other features such as the perivascular space are gaining more importance, especially in context of the glymphatic system. It is important to consider VaP in the differential diagnosis of Parkinson disease (PD) and in these situations, neuroimaging may offer diagnostic benefit especially in those patients with atypical presentations or refractoriness to levodopa. Proactive management of vascular risk factors, monitoring of bone density and an exercise program may offer easily attainable therapeutic targets in PD and VaP. Levodopa therapy should be considered in patients with VaP, however the dose and effect may be different from use in PD. This article is part of the Special Issue "Parkinsonism across the spectrum of movement disorders and beyond" edited by Joseph Jankovic, Daniel D. Truong and Matteo Bologna.
Collapse
Affiliation(s)
- Manisha Narasimhan
- Brain and Mind Centre and Faculty of Health and Medical Sciences, School of Medical Sciences, University of Sydney, Sydney, NSW, Australia.
| | - Raymond Schwartz
- Brain and Mind Centre and Faculty of Health and Medical Sciences, School of Medical Sciences, University of Sydney, Sydney, NSW, Australia
| | - Glenda Halliday
- Brain and Mind Centre and Faculty of Health and Medical Sciences, School of Medical Sciences, University of Sydney, Sydney, NSW, Australia
| |
Collapse
|
9
|
Jiménez-Balado J, Pizarro J, Riba-Llena I, Penalba A, Faura J, Palà E, Montaner J, Hernández-Guillamon M, Delgado P. New candidate blood biomarkers potentially associated with white matter hyperintensities progression. Sci Rep 2021; 11:14324. [PMID: 34253757 PMCID: PMC8275657 DOI: 10.1038/s41598-021-93498-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 06/18/2021] [Indexed: 11/09/2022] Open
Abstract
We aimed to discover blood biomarkers associated with longitudinal changes in white matter hyperintensities (WMH). This study was divided into a discovery phase and a replication phase. Subjects in both studies were patients with hypertension, aged 50-70, who underwent two magnetic resonance imaging (MRI) sessions and blood extractions over a 4-year follow-up period. In the discovery phase, we screened 1305 proteins in 12 subjects with WMH progression and in 12 matched control subjects. We found that 41 proteins were differentially expressed: 13 were upregulated and 28 were downregulated. We subsequently selected three biomarkers for replication in baseline and follow-up samples in 80 subjects with WMH progression and in 80 control subjects. The selected protein candidates for the replication were MMP9 (matrix metalloproteinase-9), which was higher in cases, MET (hepatocyte growth factor receptor) and ASAH2 (neutral ceramidase), which were both lower in cases of WMH progression. Baseline biomarker concentrations did not predict WMH progression. In contrast, patients with WMH progression presented a steeper decline in MET over time. Furthermore, cases showed higher MMP9 and lower ASAH2 levels than controls at the follow-up. These results indicate that MMP9, MET, and ASAH2 are potentially associated with the progression of WMH, and could therefore be interesting candidates to validate in future studies.
Collapse
Affiliation(s)
- Joan Jiménez-Balado
- Neurovascular Research Lab. Vall D'Hebron Research Institute, Universitat Autònoma de Barcelona, Edifici Mediterrània, Planta 1ª, Laboratori 123, Passeig Vall d'Hebron 119-129, 08035, Barcelona, CP, Spain
| | - Jesús Pizarro
- Neurovascular Research Lab. Vall D'Hebron Research Institute, Universitat Autònoma de Barcelona, Edifici Mediterrània, Planta 1ª, Laboratori 123, Passeig Vall d'Hebron 119-129, 08035, Barcelona, CP, Spain
| | - Iolanda Riba-Llena
- Neurovascular Research Lab. Vall D'Hebron Research Institute, Universitat Autònoma de Barcelona, Edifici Mediterrània, Planta 1ª, Laboratori 123, Passeig Vall d'Hebron 119-129, 08035, Barcelona, CP, Spain
| | - Anna Penalba
- Neurovascular Research Lab. Vall D'Hebron Research Institute, Universitat Autònoma de Barcelona, Edifici Mediterrània, Planta 1ª, Laboratori 123, Passeig Vall d'Hebron 119-129, 08035, Barcelona, CP, Spain
| | - Júlia Faura
- Neurovascular Research Lab. Vall D'Hebron Research Institute, Universitat Autònoma de Barcelona, Edifici Mediterrània, Planta 1ª, Laboratori 123, Passeig Vall d'Hebron 119-129, 08035, Barcelona, CP, Spain
| | - Elena Palà
- Neurovascular Research Lab. Vall D'Hebron Research Institute, Universitat Autònoma de Barcelona, Edifici Mediterrània, Planta 1ª, Laboratori 123, Passeig Vall d'Hebron 119-129, 08035, Barcelona, CP, Spain
| | - Joan Montaner
- Neurovascular Research Lab. Vall D'Hebron Research Institute, Universitat Autònoma de Barcelona, Edifici Mediterrània, Planta 1ª, Laboratori 123, Passeig Vall d'Hebron 119-129, 08035, Barcelona, CP, Spain.,Institute de Biomedicine of Seville, IBiS/Hospital Universitario Virgen del Rocío/CSIC/University of Seville & Department of Neurology, Hospital Universitario Virgen Macarena, Seville, Spain
| | - Mar Hernández-Guillamon
- Neurovascular Research Lab. Vall D'Hebron Research Institute, Universitat Autònoma de Barcelona, Edifici Mediterrània, Planta 1ª, Laboratori 123, Passeig Vall d'Hebron 119-129, 08035, Barcelona, CP, Spain
| | - Pilar Delgado
- Neurovascular Research Lab. Vall D'Hebron Research Institute, Universitat Autònoma de Barcelona, Edifici Mediterrània, Planta 1ª, Laboratori 123, Passeig Vall d'Hebron 119-129, 08035, Barcelona, CP, Spain. .,Vall D'Hebron University Hospital, Universitat Autònoma de Barcelona, Dementia Unit, Neurology Service, Barcelona, Spain.
| |
Collapse
|
10
|
Hall JR, Johnson LA, Peterson M, Julovich D, Como T, O'Bryant SE. Relationship of Neurofilament Light (NfL) and Cognitive Performance in a Sample of Mexican Americans with Normal Cognition, Mild Cognitive Impairment and Dementia. Curr Alzheimer Res 2021; 17:1214-1220. [PMID: 33605860 DOI: 10.2174/1567205018666210219105949] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 11/20/2020] [Accepted: 01/05/2021] [Indexed: 11/22/2022]
Abstract
INTRODUCTION This study characterized the relationship between plasma NfL and cognition in a community-based sample of older Mexican Americans. METHODS 544 participants completed a battery of neuropsychological tests and were diagnosed using clinical criteria. NfL was assayed using Simoa. NfL levels across groups and tests were analyzed. RESULTS Difference in NfL was found between normal and impaired groups and was related to global cognition, processing speed, executive functions and a list of learning tasks with a significant negative effect for all diagnostic groups. NfL had a negative impact on processing speed, attention, executive functions and delayed and recognition memory for both normal and MCI groups. CONCLUSION The research supports plasma NfL as a marker of cognitive impairment related to neurodegenerative processes in Mexican Americans and may be a marker of early changes in cognition in those with normal cognition and at risk for developing MCI.
Collapse
Affiliation(s)
- James R Hall
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Leigh A Johnson
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Melissa Peterson
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - David Julovich
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Tori Como
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
| | - Sid E O'Bryant
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, United States
| |
Collapse
|
11
|
Eckerström C, Eckerström M, Göthlin M, Molinder A, Jonsson M, Kettunen P, Svensson J, Rolstad S, Wallin A. Characteristic Biomarker and Cognitive Profile in Incipient Mixed Dementia. J Alzheimers Dis 2020; 73:597-607. [PMID: 31815692 PMCID: PMC7029359 DOI: 10.3233/jad-190651] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Background: Research has shown that mixed dementia is more common than previously believed but little is known of its early stages. Objective: To examine if incipient mixed dementia can be differentiated from incipient Alzheimer’s disease (AD) and subcortical ischemic vascular dementia (SVD) using neuropsychological tests, cerebrospinal fluid (CSF) markers, and magnetic resonance imaging markers. Methods: We included 493 patients and controls from the Gothenburg MCI study and used the dementia groups for marker selection (CSF total-tau (T-tau), phospho-tau (P-tau), and amyloid-β42 (Aβ42), 11 neuropsychological tests, and 92 regional brain volumes) and to obtain cut-off values which were then applied to the MCI groups. Results: Incipient mixed dementia was best differentiated from incipient AD by the Word fluency F-A-S test and the Trail making test A. CSF T-tau, P-tau, and Aβ42 differentiated incipient mixed dementia from incipient SVD. Conclusion: Incipient mixed dementia is characterized by an AD-like biomarker profile and an SVD-like cognitive profile. Incipient mixed dementia can be separated from incipient AD and incipient SVD using CSF markers and cognitive testing.
Collapse
Affiliation(s)
- Carl Eckerström
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Immunology and Transfusion Medicine, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Marie Eckerström
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Mattias Göthlin
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anna Molinder
- Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Michael Jonsson
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Petronella Kettunen
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Johan Svensson
- Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Sindre Rolstad
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anders Wallin
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| |
Collapse
|
12
|
Novakova L, Axelsson M, Malmeström C, Zetterberg H, Blennow K, Svenningsson A, Lycke J. NFL and CXCL13 may reveal disease activity in clinically and radiologically stable MS. Mult Scler Relat Disord 2020; 46:102463. [PMID: 32862040 DOI: 10.1016/j.msard.2020.102463] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 08/20/2020] [Accepted: 08/22/2020] [Indexed: 11/24/2022]
Abstract
BACKGROUND Cerebrospinal fluid (CSF) levels of neurofilament light (NFL), a biomarker of axonal damage, and CXCL13, a chemokine involved in B-cell regulation, are both associated with disease activity in multiple sclerosis (MS). OBJECTIVE To explore the potential of NFL and CXCL13 to detect residual disease activity in patients with no signs of clinical or ongoing radiological activity and to study the clinical relevance of such activity. METHODS NFL and CXCL13 concentrations were determined with ELISA in CSF obtained from 90 relapsing-remitting (RR) MS and 47 Progressive (Pr) MS (including primary and secondary PrMS) at baseline and after 12 months of follow-up. The patients were assessed at baseline, before initiating or switching disease modifying therapy (DMT) and again after 12 and 27 months of follow-up. RESULTS All patients with ongoing disease activity (relapse or contrast-enhancing lesions on MRI) had increased NFL or CXCL13. The proportion of RRMS and PrMS patients without ongoing disease activity with elevation of either NFL or CXCL13 (residual disease activity) was 39% and 50%, respectively, and both were increased in 11% and 16%, respectively. The treatment with DMTs decreased the proportion with residual disease activity in both RRMS and PrMS significantly. We could not show any significant association between residual disease activity and clinical or MRI measures at 12 or 27 months of follow-up. CONCLUSIONS Although most of this real-world study population had been treated with second-line DMTs and achieved clinical and radiological stability, a significant proportion of patients still displayed increased CSF levels of both NFL and CXCL13, indicating residual disease activity. Thus, these markers seemed considerably more sensitive to disease activity than clinical and MRI measures. However, the long-term clinical significance of such activity remains to be determined.
Collapse
Affiliation(s)
- L Novakova
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg, Sweden.
| | - M Axelsson
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg, Sweden
| | - C Malmeström
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg, Sweden
| | - H Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK; UK Dementia Research Institute at UCL, London, UK
| | - K Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - A Svenningsson
- Department of Clinical Sciences Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - J Lycke
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg, Sweden
| |
Collapse
|
13
|
Bridel C, van Wieringen WN, Zetterberg H, Tijms BM, Teunissen CE. Diagnostic Value of Cerebrospinal Fluid Neurofilament Light Protein in Neurology: A Systematic Review and Meta-analysis. JAMA Neurol 2019; 76:1035-1048. [PMID: 31206160 PMCID: PMC6580449 DOI: 10.1001/jamaneurol.2019.1534] [Citation(s) in RCA: 445] [Impact Index Per Article: 89.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Accepted: 03/27/2019] [Indexed: 12/13/2022]
Abstract
IMPORTANCE Neurofilament light protein (NfL) is elevated in cerebrospinal fluid (CSF) of a number of neurological conditions compared with healthy controls (HC) and is a candidate biomarker for neuroaxonal damage. The influence of age and sex is largely unknown, and levels across neurological disorders have not been compared systematically to date. OBJECTIVES To assess the associations of age, sex, and diagnosis with NfL in CSF (cNfL) and to evaluate its potential in discriminating clinically similar conditions. DATA SOURCES PubMed was searched for studies published between January 1, 2006, and January 1, 2016, reporting cNfL levels (using the search terms neurofilament light and cerebrospinal fluid) in neurological or psychiatric conditions and/or in HC. STUDY SELECTION Studies reporting NfL levels measured in lumbar CSF using a commercially available immunoassay, as well as age and sex. DATA EXTRACTION AND SYNTHESIS Individual-level data were requested from study authors. Generalized linear mixed-effects models were used to estimate the fixed effects of age, sex, and diagnosis on log-transformed NfL levels, with cohort of origin modeled as a random intercept. MAIN OUTCOME AND MEASURE The cNfL levels adjusted for age and sex across diagnoses. RESULTS Data were collected for 10 059 individuals (mean [SD] age, 59.7 [18.8] years; 54.1% female). Thirty-five diagnoses were identified, including inflammatory diseases of the central nervous system (n = 2795), dementias and predementia stages (n = 4284), parkinsonian disorders (n = 984), and HC (n = 1332). The cNfL was elevated compared with HC in a majority of neurological conditions studied. Highest levels were observed in cognitively impaired HIV-positive individuals (iHIV), amyotrophic lateral sclerosis, frontotemporal dementia (FTD), and Huntington disease. In 33.3% of diagnoses, including HC, multiple sclerosis, Alzheimer disease (AD), and Parkinson disease (PD), cNfL was higher in men than women. The cNfL increased with age in HC and a majority of neurological conditions, although the association was strongest in HC. The cNfL overlapped in most clinically similar diagnoses except for FTD and iHIV, which segregated from other dementias, and PD, which segregated from atypical parkinsonian syndromes. CONCLUSIONS AND RELEVANCE These data support the use of cNfL as a biomarker of neuroaxonal damage and indicate that age-specific and sex-specific (and in some cases disease-specific) reference values may be needed. The cNfL has potential to assist the differentiation of FTD from AD and PD from atypical parkinsonian syndromes.
Collapse
Affiliation(s)
- Claire Bridel
- Neurochemistry Laboratory, Department of Clinical Chemistry, VU University Medical Centre, Neuroscience Campus Amsterdam, Amsterdam, the Netherlands
| | - Wessel N. van Wieringen
- Department of Epidemiology and Biostatistics, VU University Medical Centre, Amsterdam, the Netherlands
- Department of Mathematics, VU University, Amsterdam, the Netherlands
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
- Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, United Kingdom
- Dementia Research Institute at UCL, London, United Kingdom
| | - Betty M. Tijms
- Department of Neurology and Alzheimer Centre, VU University Medical Centre, Neuroscience Campus Amsterdam, Amsterdam, the Netherlands
| | - Charlotte E. Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, VU University Medical Centre, Neuroscience Campus Amsterdam, Amsterdam, the Netherlands
| | | |
Collapse
|
14
|
Montaner J, Ramiro L, Simats A, Hernández-Guillamon M, Delgado P, Bustamante A, Rosell A. Matrix metalloproteinases and ADAMs in stroke. Cell Mol Life Sci 2019; 76:3117-3140. [PMID: 31165904 PMCID: PMC11105215 DOI: 10.1007/s00018-019-03175-5] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Revised: 05/22/2019] [Accepted: 05/29/2019] [Indexed: 12/27/2022]
Abstract
Stroke is a leading cause of death and disability worldwide. However, after years of in-depth research, the pathophysiology of stroke is still not fully understood. Increasing evidence shows that matrix metalloproteinases (MMPs) and "a disintegrin and metalloproteinase" (ADAMs) participate in the neuro-inflammatory cascade that is triggered during stroke but also in recovery phases of the disease. This review covers the involvement of these proteins in brain injury following cerebral ischemia which has been widely studied in recent years, with efforts to modulate this group of proteins in neuroprotective therapies, together with their implication in neurorepair mechanisms. Moreover, the review also discusses the role of these proteins in specific forms of neurovascular disease, such as small vessel diseases and intracerebral hemorrhage. Finally, the potential use of MMPs and ADAMs as guiding biomarkers of brain injury and repair for decision-making in cases of stroke is also discussed.
Collapse
Affiliation(s)
- Joan Montaner
- Neurovascular Research Laboratory, Vall d'Hebron Institute of Research, Universitat Autònoma de Barcelona, Passeig de la Vall d'Hebron, 119-129, 08035, Barcelona, Spain.
| | - Laura Ramiro
- Neurovascular Research Laboratory, Vall d'Hebron Institute of Research, Universitat Autònoma de Barcelona, Passeig de la Vall d'Hebron, 119-129, 08035, Barcelona, Spain
| | - Alba Simats
- Neurovascular Research Laboratory, Vall d'Hebron Institute of Research, Universitat Autònoma de Barcelona, Passeig de la Vall d'Hebron, 119-129, 08035, Barcelona, Spain
| | - Mar Hernández-Guillamon
- Neurovascular Research Laboratory, Vall d'Hebron Institute of Research, Universitat Autònoma de Barcelona, Passeig de la Vall d'Hebron, 119-129, 08035, Barcelona, Spain
| | - Pilar Delgado
- Neurovascular Research Laboratory, Vall d'Hebron Institute of Research, Universitat Autònoma de Barcelona, Passeig de la Vall d'Hebron, 119-129, 08035, Barcelona, Spain
| | - Alejandro Bustamante
- Neurovascular Research Laboratory, Vall d'Hebron Institute of Research, Universitat Autònoma de Barcelona, Passeig de la Vall d'Hebron, 119-129, 08035, Barcelona, Spain
| | - Anna Rosell
- Neurovascular Research Laboratory, Vall d'Hebron Institute of Research, Universitat Autònoma de Barcelona, Passeig de la Vall d'Hebron, 119-129, 08035, Barcelona, Spain
| |
Collapse
|
15
|
Bjerke M, Engelborghs S. Cerebrospinal Fluid Biomarkers for Early and Differential Alzheimer's Disease Diagnosis. J Alzheimers Dis 2019; 62:1199-1209. [PMID: 29562530 PMCID: PMC5870045 DOI: 10.3233/jad-170680] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
An accurate and early diagnosis of Alzheimer’s disease (AD) is important to select optimal patient care and is critical in current clinical trials targeting core AD neuropathological features. The past decades, much progress has been made in the development and validation of cerebrospinal fluid (CSF) biomarkers for the biochemical diagnosis of AD, including standardization and harmonization of (pre-) analytical procedures. This has resulted in three core CSF biomarkers for AD diagnostics, namely the 42 amino acid long amyloid-beta peptide (Aβ1-42), total tau protein (T-tau), and tau phosphorylated at threonine 181 (P-tau181). These biomarkers have been incorporated into research diagnostic criteria for AD and have an added value in the (differential) diagnosis of AD and related disorders, including mixed pathologies, atypical presentations, and in case of ambiguous clinical dementia diagnoses. The implementation of the CSF Aβ1-42/Aβ1-40 ratio in the core biomarker panel will improve the biomarker analytical variability, and will also improve early and differential AD diagnosis through a more accurate reflection of pathology. Numerous biomarkers are being investigated for their added value to the core AD biomarkers, aiming at the AD core pathological features like the amyloid mismetabolism, tau pathology, or synaptic or neuronal degeneration. Others aim at non-AD neurodegenerative, vascular or inflammatory hallmarks. Biomarkers are essential for an accurate identification of preclinical AD in the context of clinical trials with potentially disease-modifying drugs. Therefore, a biomarker-based early diagnosis of AD offers great opportunities for preventive treatment development in the near future.
Collapse
Affiliation(s)
- Maria Bjerke
- Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium.,Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, Antwerp, Belgium
| |
Collapse
|
16
|
Analysis of neurofilament concentration in healthy adult horses and utility in the diagnosis of equine protozoal myeloencephalitis and equine motor neuron disease. Res Vet Sci 2019; 125:1-6. [PMID: 31103855 DOI: 10.1016/j.rvsc.2019.04.018] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Revised: 03/24/2019] [Accepted: 04/24/2019] [Indexed: 12/13/2022]
Abstract
Neurofilaments (NFs) are structural proteins of neurons that are released in significant quantities in the cerebrospinal fluid and blood as a result of neuronal degeneration or axonal damage. Therefore, NFs have potential as biomarkers for neurologic disorders. Neural degeneration increases with age and has the potential to confound the utility of NFs as biomarkers in the diagnosis of neurologic disorders. We investigated this relationship in horses with and without neurological diagnosis. While controlling for horse type (draft, pleasure, and racing), we evaluated the relationship between serum heavy-chain phosphorylated neurofilaments (pNF-H) and age, sex, and serum vitamin E concentrations. Serum pNF-H concentrations increased by 0.002 ng/ml for each year increase in age. There were significant differences in the serum pNF-H concentration among the type of activity performed by the horse. The highest serum pNF-H concentration was found in horses performing heavy work activity (racehorse) and with lower serum pNF-H concentration found among light (pleasure riding) and moderate (draft) activity. There was no significant association between the pNF-H concentration and sex or vitamin E concentration. Serum pNF-H concentration was elevated among horses afflicted with EMND and EPM when compared with control horses without evidence of neurologic disorders. Accordingly, serum pNF-H concentration can serve as a useful biomarker to complement the existing diagnostic work-up of horses suspected of having EPM or EMND.
Collapse
|
17
|
Gu T, Fu C, Shen Z, Guo H, Zou M, Chen M, Rockwood K, Song X. Age-Related Whole-Brain Structural Changes in Relation to Cardiovascular Risks Across the Adult Age Spectrum. Front Aging Neurosci 2019; 11:85. [PMID: 31105550 PMCID: PMC6492052 DOI: 10.3389/fnagi.2019.00085] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Accepted: 03/26/2019] [Indexed: 12/11/2022] Open
Abstract
Background: The brain atrophy and lesion index (BALI) has been developed to assess whole-brain structural deficits that are commonly seen on magnetic resonance imaging (MRI) in aging. It is unclear whether such changes can be detected at younger ages and how they might relate to other exposures. Here, we investigate how BALI scores, and the subcategories that make the total score, compare across adulthood and whether they are related to the level of cardiovascular risks, in both young and old adulthood. Methods: Data were from 229 subjects (72% men; 24-80 years of age) whose annual health evaluation included a routine anatomical MRI examination. A BALI score was generated for each subject from T2-weighted MRI. Differences in the BALI total score and categorical subscores were examined by age and by the level of cardiovascular risk factors (CVRFs). Regression analysis was used to evaluate relationships between continuous variables. Relative risk ratios (RRRs) of CVRF on BALI were examined using a multinomial logistic regression. The area under the receiver operating characteristic (ROC) curve was used to estimate the classification accuracy. Results: Nearly 90% of the participants had at least one CVRF. Mean CVRF scores increased with age (slope = 0.03; r = 0.36, 95% confidence intervals: 0.23-0.48; p < 0.001). The BALI total score was closely related to age (slope = 0.18; r = 0.69, 95% confidence intervals: 0.59-0.78; p < 0.001), as so were the categorical subscores (r's = 0.41-0.61, p < 0.001); each differed by the number of CVRF (t-test: 4.16-14.83, χ 2: 6.9-43.9, p's < 0.050). Multivariate analyses adjusted for age and sex suggested an independent impact of age and the CVRF on the BALI score (for each year of advanced age, RRR = 1.20, 95% CI = 1.11-1.29; for each additional CVRF, RRR = 3.63, 95% CI = 2.12-6.23). The CVRF and BALI association remained significant even in younger adults. Conclusion: The accumulation of MRI-detectable structural brain deficits can be evident from young adulthood. Age and the number of CVFR are independently associated with BALI score. Further research is needed to understand the extent to which other age-related health deficits can increase the risk of abnormalities in brain structure and function, and how these, with BALI scores, relate to cognition.
Collapse
Affiliation(s)
- Tao Gu
- Department of Radiology, Beijing Hospital, National Center of Gerontology, Beijing, China
- Health Research and Innovation, Surrey Memorial Hospital, Fraser Health Authority, Surrey, BC, Canada
- SFU ImageTech Lab, Surrey Memorial Hospital, Surrey, BC, Canada
| | - Chunyi Fu
- Department of Emergency Medicine, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Zhengyin Shen
- Department of Radiology, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Hui Guo
- Health Research and Innovation, Surrey Memorial Hospital, Fraser Health Authority, Surrey, BC, Canada
- Department of Diagnostic Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Meicun Zou
- Health Research and Innovation, Surrey Memorial Hospital, Fraser Health Authority, Surrey, BC, Canada
| | - Min Chen
- Department of Radiology, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Kenneth Rockwood
- Department of Medicine (Geriatric Medicine & Neurology), Dalhousie University, Halifax, NS, Canada
- Centre for Healthcare of the Elderly, QEII Sciences Centre, Halifax, NS, Canada
| | - Xiaowei Song
- Health Research and Innovation, Surrey Memorial Hospital, Fraser Health Authority, Surrey, BC, Canada
- SFU ImageTech Lab, Surrey Memorial Hospital, Surrey, BC, Canada
- Department of Medicine (Geriatric Medicine & Neurology), Dalhousie University, Halifax, NS, Canada
| |
Collapse
|
18
|
Osborn KE, Liu D, Samuels LR, Moore EE, Cambronero FE, Acosta LMY, Bell SP, Babicz MA, Gordon EA, Pechman KR, Davis LT, Gifford KA, Hohman TJ, Blennow K, Zetterberg H, Jefferson AL. Cerebrospinal fluid β-amyloid 42 and neurofilament light relate to white matter hyperintensities. Neurobiol Aging 2018; 68:18-25. [PMID: 29702372 DOI: 10.1016/j.neurobiolaging.2018.03.028] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Revised: 03/20/2018] [Accepted: 03/27/2018] [Indexed: 12/12/2022]
Abstract
White matter hyperintensities (WMHs) are associated with poorer brain health, but their pathophysiological substrates remain elusive. To better understand the mechanistic underpinnings of WMHs among older adults, this study examined in vivo cerebrospinal fluid biomarkers of β-amyloid42 deposition (Aβ42), hyperphosphorylated tau pathology, neurodegeneration (total tau), and axonal injury (neurofilament light [NFL]) in relation to log-transformed WMHs volume. Participants free of clinical stroke and dementia were drawn from the Vanderbilt Memory & Aging Project (n = 148, 72 ± 6 years). Linear regression models adjusted for age, sex, race/ethnicity, education, intracranial volume, modified Framingham Stroke Risk Profile (excluding points assigned for age), cognitive diagnosis, and APOE-ε4 carrier status. Aβ42 (β = -0.001, p = 0.007) and NFL (β = 0.0003, p = 0.01) concentrations related to WMHs but neither hyperphosphorylated tau nor total tau associations with WMHs reached statistical significance (p-values > 0.21). In a combined model, NFL accounted for 3.2% of unique variance in WMHs and Aβ42 accounted for an additional 4.3% beyond NFL, providing novel evidence of the co-occurrence of at least 2 distinct pathways for WMHs among older adults, including amyloid deposition and axonal injury.
Collapse
Affiliation(s)
- Katie E Osborn
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Dandan Liu
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lauren R Samuels
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Elizabeth E Moore
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Francis E Cambronero
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lealani Mae Y Acosta
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Susan P Bell
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Divisions of Cardiovascular and Geriatric Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Michelle A Babicz
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Elizabeth A Gordon
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kimberly R Pechman
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - L Taylor Davis
- Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Katherine A Gifford
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Timothy J Hohman
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
| | - Angela L Jefferson
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA.
| |
Collapse
|
19
|
Zavialova MG, Shevchenko VE, Nikolaev EN, Zgoda VG. Is myelin basic protein a potential biomarker of brain cancer? EUROPEAN JOURNAL OF MASS SPECTROMETRY (CHICHESTER, ENGLAND) 2017; 23:192-196. [PMID: 29028399 DOI: 10.1177/1469066717719810] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Myelin basic protein is a potential biomarker for the central nervous system diseases in which the myelin sheath is destroyed. Using pseudo-selected reaction monitoring and the method of standard additions, we have measured the myelin basic protein level in the cerebrospinal fluid of patients with neurotrauma (n = 6), chronic neurodegenerative diseases (n = 2) and brain cancer (n = 5). Myelin basic protein was detected only in four out of five cerebrospinal fluid samples of patients with brain cancer. The cerebrospinal fluid myelin basic protein level ranged from 3.7 to 8.8 ng ml-1. We suggest that monitoring of myelin basic protein in cerebrospinal fluid can serve as a diagnostic test for the brain cancer.
Collapse
Affiliation(s)
- M G Zavialova
- 1 Institute of Biomedical Chemistry (IBMC), Moscow, Russia
| | - V E Shevchenko
- 2 Blokhin Russian Cancer Research Center, Moscow, Russia
| | - E N Nikolaev
- 1 Institute of Biomedical Chemistry (IBMC), Moscow, Russia
- 3 Skolkovo Institute of Science and Technology (Skoltech), Skolkovo, Russia
| | - V G Zgoda
- 1 Institute of Biomedical Chemistry (IBMC), Moscow, Russia
| |
Collapse
|
20
|
Extracellular matrix inflammation in vascular cognitive impairment and dementia. Clin Sci (Lond) 2017; 131:425-437. [PMID: 28265034 DOI: 10.1042/cs20160604] [Citation(s) in RCA: 118] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Revised: 12/15/2016] [Accepted: 12/19/2016] [Indexed: 12/16/2022]
Abstract
Vascular cognitive impairment and dementia (VCID) include a wide spectrum of chronic manifestations of vascular disease related to large vessel strokes and small vessel disease (SVD). Lacunar strokes and white matter (WM) injury are consequences of SVD. The main vascular risk factor for SVD is brain hypoperfusion from cerebral blood vessel narrowing due to chronic hypertension. The hypoperfusion leads to activation and degeneration of astrocytes with the resulting fibrosis of the extracellular matrix (ECM). Elasticity is lost in fibrotic cerebral vessels, reducing the response of stiffened blood vessels in times of increased metabolic need. Intermittent hypoxia/ischaemia activates a molecular injury cascade, producing an incomplete infarction that is most damaging to the deep WM, which is a watershed region for cerebral blood flow. Neuroinflammation caused by hypoxia activates microglia/macrophages to release proteases and free radicals that perpetuate the damage over time to molecules in the ECM and the neurovascular unit (NVU). Matrix metalloproteinases (MMPs) secreted in an attempt to remodel the blood vessel wall have the undesired consequences of opening the blood-brain barrier (BBB) and attacking myelinated fibres. This dual effect of the MMPs causes vasogenic oedema in WM and vascular demyelination, which are the hallmarks of the subcortical ischaemic vascular disease (SIVD), which is the SVD form of VCID also called Binswanger's disease (BD). Unravelling the complex pathophysiology of the WM injury-related inflammation in the small vessel form of VCID could lead to novel therapeutic strategies to reduce damage to the ECM, preventing the progressive damage to the WM.
Collapse
|
21
|
Wallin A, Kapaki E, Boban M, Engelborghs S, Hermann DM, Huisa B, Jonsson M, Kramberger MG, Lossi L, Malojcic B, Mehrabian S, Merighi A, Mukaetova-Ladinska EB, Paraskevas GP, Popescu BO, Ravid R, Traykov L, Tsivgoulis G, Weinstein G, Korczyn A, Bjerke M, Rosenberg G. Biochemical markers in vascular cognitive impairment associated with subcortical small vessel disease - A consensus report. BMC Neurol 2017; 17:102. [PMID: 28535786 PMCID: PMC5442599 DOI: 10.1186/s12883-017-0877-3] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2016] [Accepted: 05/09/2017] [Indexed: 12/17/2022] Open
Abstract
Background Vascular cognitive impairment (VCI) is a heterogeneous entity with multiple aetiologies, all linked to underlying vascular disease. Among these, VCI related to subcortical small vessel disease (SSVD) is emerging as a major homogeneous subtype. Its progressive course raises the need for biomarker identification and/or development for adequate therapeutic interventions to be tested. In order to shed light in the current status on biochemical markers for VCI-SSVD, experts in field reviewed the recent evidence and literature data. Method The group conducted a comprehensive search on Medline, PubMed and Embase databases for studies published until 15.01.2017. The proposal on current status of biochemical markers in VCI-SSVD was reviewed by all co-authors and the draft was repeatedly circulated and discussed before it was finalized. Results This review identifies a large number of biochemical markers derived from CSF and blood. There is a considerable overlap of VCI-SSVD clinical symptoms with those of Alzheimer’s disease (AD). Although most of the published studies are small and their findings remain to be replicated in larger cohorts, several biomarkers have shown promise in separating VCI-SSVD from AD. These promising biomarkers are closely linked to underlying SSVD pathophysiology, namely disruption of blood-CSF and blood–brain barriers (BCB-BBB) and breakdown of white matter myelinated fibres and extracellular matrix, as well as blood and brain inflammation. The leading biomarker candidates are: elevated CSF/blood albumin ratio, which reflects BCB/BBB disruption; altered CSF matrix metalloproteinases, reflecting extracellular matrix breakdown; CSF neurofilment as a marker of axonal damage, and possibly blood inflammatory cytokines and adhesion molecules. The suggested SSVD biomarker deviations contrasts the characteristic CSF profile in AD, i.e. depletion of amyloid beta peptide and increased phosphorylated and total tau. Conclusions Combining SSVD and AD biomarkers may provide a powerful tool to identify with greater precision appropriate patients for clinical trials of more homogeneous dementia populations. Thereby, biomarkers might promote therapeutic progress not only in VCI-SSVD, but also in AD.
Collapse
Affiliation(s)
- A Wallin
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden. .,Memory Clinic at Department of Neuropsychiatry, Sahlgrenska University Hospital, Institute of Neuroscience and Physiology at Sahlgrenska Academy, University of Gothenburg, Wallinsgatan 6, SE-431 41, Mölndal, Sweden.
| | - E Kapaki
- 1st Department of Neurology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - M Boban
- Department of Neurology, University Hospital Centre Zagreb, Medical School, University of Zagreb, Zagreb, Croatia
| | - S Engelborghs
- Memory Clinic and Department of Neurology, Hospital Network Antwerp (ZNA) Middelheim and HogeBeuken, Antwerp, Belgium.,Reference Center for Biological Markers of Dementia, Department of Biomedical Sciences, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - D M Hermann
- Department of Neurology, University Hospital Essen, Essen, Germany
| | - B Huisa
- Department of Neurology, University of California, Irvine, California, USA
| | - M Jonsson
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - M G Kramberger
- Department of Neurology, University Medical Center Ljubljana, Ljubljana, Slovenia
| | - L Lossi
- Department of Veterinary Sciences, University of Turin, Turin, Italy
| | - B Malojcic
- Department of Neurology, University Hospital Centre Zagreb, Medical School, University of Zagreb, Zagreb, Croatia
| | - S Mehrabian
- Department of Neurology, University Hospital "Alexandrovska", Medical University, Sofia, Bulgaria
| | - A Merighi
- Department of Veterinary Sciences, University of Turin, Turin, Italy
| | - E B Mukaetova-Ladinska
- Institute of Neuroscience, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - G P Paraskevas
- 1st Department of Neurology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - B O Popescu
- Department of Neurology, Colentina Clinical Hospital, School of Medicine, 'Carol Davila' University of Medicine and Pharmacy, Bucharest, Romania
| | - R Ravid
- Brain Bank Consultants, Amsterdam, The Netherlands
| | - L Traykov
- Department of Neurology, University Hospital "Alexandrovska", Medical University, Sofia, Bulgaria
| | - G Tsivgoulis
- 2nd Department of Neurology, Attikon Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - G Weinstein
- School of Public Health, University of Haifa, Haifa, Israel
| | - A Korczyn
- Department of Neurology, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - M Bjerke
- Reference Center for Biological Markers of Dementia, Department of Biomedical Sciences, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - G Rosenberg
- University of New Mexico Health Sciences Center, Albuquerque, NM, 87131, USA
| |
Collapse
|
22
|
Somers C, Goossens J, Engelborghs S, Bjerke M. Selecting Aβ isoforms for an Alzheimer's disease cerebrospinal fluid biomarker panel. Biomark Med 2017; 11:169-178. [PMID: 28111962 DOI: 10.2217/bmm-2016-0276] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Although the core cerebrospinal fluid Alzheimer's disease (AD) biomarkers amyloid-β (Aβ1-42) and tau show a high diagnostic accuracy, there are still limitations due to overlap in the biomarker levels with other neurodegenerative and dementia disorders. During Aβ1-42 production and clearance in the brain, several other Aβ peptides and amyloid precursor protein fragments are formed that could potentially serve as biomarkers for this ongoing disease process. Therefore, this review will present the current status of the findings for amyloid precursor protein and Aβ peptide isoforms in AD and clinically related disorders. In conclusion, adding new Aβ isoforms to the AD biomarker panel may improve early differential diagnostic accuracy and increase the cerebrospinal fluid biomarker concordance with AD neuropathological findings in the brain.
Collapse
Affiliation(s)
- Charisse Somers
- Department of Biomedical Sciences, Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Joery Goossens
- Department of Biomedical Sciences, Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Sebastiaan Engelborghs
- Department of Biomedical Sciences, Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium.,Department of Neurology & Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim & Hoge Beuken, Antwerp, Belgium
| | - Maria Bjerke
- Department of Biomedical Sciences, Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| |
Collapse
|
23
|
Höglund K, Kern S, Zettergren A, Börjesson-Hansson A, Zetterberg H, Skoog I, Blennow K. Preclinical amyloid pathology biomarker positivity: effects on tau pathology and neurodegeneration. Transl Psychiatry 2017; 7:e995. [PMID: 28072416 PMCID: PMC5545720 DOI: 10.1038/tp.2016.252] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2016] [Revised: 06/01/2016] [Accepted: 06/30/2016] [Indexed: 11/15/2022] Open
Abstract
Brain autopsy and biomarker studies indicate that the pathology of Alzheimer's disease (AD) is initiated at least 10-20 years before clinical symptoms. This provides a window of opportunity to initiate preventive treatment. However, this emphasizes the necessity for biomarkers that identify individuals at risk for developing AD later in life. In this cross-sectional study, originating from three epidemiologic studies in Sweden (n=1428), the objective was to examine whether amyloid pathology, as determined by low cerebrospinal fluid (CSF) concentration of the 42 amino acid form of β-amyloid (Aβ42), is associated with biomarker evidence of other pathological changes in cognitively healthy elderly. A total of 129 patients were included and CSF levels of Aβ42, total tau, tau phosphorylated at threonine 181 (p-tau), neurogranin, VILIP-1, VEGF, FABP3, Aβ40, neurofilament light, MBP, orexin A, BDNF and YKL-40 were measured. Among these healthy elderly, 35.6% (N=46) had CSF Aβ42 levels below 530 pg ml-1. These individuals displayed significantly higher CSF concentrations of t-tau (P<0.001), p-tau (181) (P<0.001), neurogranin (P=0.009) and FABP3 (P=0.044) compared with amyloid-negative individuals. Our study indicates that there is a subpopulation among healthy older individuals who have amyloid pathology along with signs of ongoing neuronal and synaptic degeneration, as well as tangle pathology. Previous studies have demonstrated that increase in CSF tau and p-tau is a specific sign of AD progression that occurs downstream of the deposition of Aβ. On the basis of this, our data suggest that these subjects are at risk for developing AD. We also confirm the association between APOE ɛ4 and amyloid pathology in healthy older individuals.
Collapse
Affiliation(s)
- K Höglund
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, Centre for ageing and Health, AgeCap, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden,Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Disease Research, Neurogeriatrics Division, Karolinska Institutet, Novum, Stockholm, Sweden,Clinical Neurochemistry Laboratory, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at University of Gothenburg, Sahlgrenska University Hospital, Mölndal SE-431 80, Sweden. E-mail:
| | - S Kern
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, Centre for ageing and Health, AgeCap, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden,Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
| | - A Zettergren
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, Centre for ageing and Health, AgeCap, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden,Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
| | - A Börjesson-Hansson
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, Centre for ageing and Health, AgeCap, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden,Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
| | - H Zetterberg
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, Centre for ageing and Health, AgeCap, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden,Neuropsychiatric Epidemiology Unit, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, Centre for Ageing and Health, AgeCap, University of Gothenburg, Mölndal, Sweden
| | - I Skoog
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, Centre for ageing and Health, AgeCap, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden,Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
| | - K Blennow
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, Centre for ageing and Health, AgeCap, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
| |
Collapse
|
24
|
Idland AV, Sala-Llonch R, Borza T, Watne LO, Wyller TB, Brækhus A, Zetterberg H, Blennow K, Walhovd KB, Fjell AM. CSF neurofilament light levels predict hippocampal atrophy in cognitively healthy older adults. Neurobiol Aging 2016; 49:138-144. [PMID: 27794264 DOI: 10.1016/j.neurobiolaging.2016.09.012] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2016] [Revised: 09/03/2016] [Accepted: 09/21/2016] [Indexed: 10/20/2022]
Abstract
Cerebrospinal fluid (CSF) neurofilament light (NFL) is a marker of axonal degeneration. We tested whether CSF NFL levels predict hippocampal atrophy rate in cognitively healthy older adults independently of the established CSF Alzheimer's disease (AD) biomarkers, β-amyloid 1-42, and phosphorylated tau (P-tau). We included 144 participants in a 2-year longitudinal study with baseline CSF measures and 2 magnetic resonance images. Eighty-eight participants had full data available. A subgroup of 36 participants with very low AD risk was also studied. NFL predicted hippocampal atrophy rate independently of age, β-amyloid 1-42, and P-tau. Including NFL, P-tau, and age in the same model, higher NFL and lower P-tau predicted higher hippocampal atrophy (R2 = 0.20, NFL: β = -0.34; p = 0.003; P-tau: β = 0.27; p = 0.009). The results were upheld in the participants with very low AD risk. NFL predicted neurodegeneration in older adults with very low AD probability. We suggest that factors previously shown to be important for brain degeneration in mild cognitive impairment may also impact changes in normal aging, demonstrating that NFL is likely to indicate AD-independent, age-expected neurodegeneration.
Collapse
Affiliation(s)
- Ane-Victoria Idland
- Oslo Delirium Research Group, Department of Geriatric Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway.
| | - Roser Sala-Llonch
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Tom Borza
- Centre for Old Age Psychiatric Research, Innlandet Hospital Trust, Ottestad, Norway
| | - Leiv Otto Watne
- Oslo Delirium Research Group, Department of Geriatric Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Torgeir Bruun Wyller
- Oslo Delirium Research Group, Department of Geriatric Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Anne Brækhus
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway; Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway; Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Clinical Neurochemistry Lab, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden; Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Clinical Neurochemistry Lab, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Kristine Beate Walhovd
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Anders Martin Fjell
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| |
Collapse
|
25
|
Abstract
OBJECTIVE Among the 28 metalloproteinases described so far, 23 can be found in the human organism, but only few are expressed in the human brain. The main objective of this study was to analyse the relationship between MMP-2, MMP-9 and TIMP-2 gene expression and cognitive performance. METHODS The study comprised 234 subjects: patients suffering from recurrent depressive disorder (rDD, n=139) and healthy subjects (HS, n=95). The cognitive function assessment was carried out with the help of the following tests: Trail Making Test, The Stroop Test, Verbal Fluency Test and Auditory Verbal Learning Test. Gene expression on the mRNA and protein level was evaluated for MMP-2, MMP-9 and TIMP-2 in both groups using RNA extraction, reverse transcription and enzyme-linked immunosorbent assay. RESULTS Both mRNA and protein expression levels of all the genes were significantly lower in rDD subjects as compared with HS. Having analysed the entire experimental group (N=234), significant interrelations were found between the expression of the analysed genes and the results of the tests used to measure cognitive functions. Increased expression on both the mRNA and the protein level was associated in each case with better performance of all the tests conducted. After carrying out a separate analysis on the people from the rDD group and the HS group, similar dependencies were still observed. CONCLUSIONS The results of our study show decreased expression of MMP-2, MMP-9 and TIMP-2 genes on both mRNA and protein levels in depression. Elevated expression of MMP-2, MMP-9, TIMP-2 positively affects cognitive efficiency: working memory, executive functions, attention functions, direct and delayed auditory-verbal memory, the effectiveness of learning processes and verbal fluency. The study highlights the important role of peripheral matrix metalloproteinases genes in depression and cognitive functions.
Collapse
|
26
|
Rosenberg GA. Matrix Metalloproteinase-Mediated Neuroinflammation in Vascular Cognitive Impairment of the Binswanger Type. Cell Mol Neurobiol 2016; 36:195-202. [PMID: 26993507 PMCID: PMC4861651 DOI: 10.1007/s10571-015-0277-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2015] [Accepted: 09/28/2015] [Indexed: 01/05/2023]
Abstract
Vascular cognitive impairment (VCI) is a heterogeneous group of diseases linked together by cerebrovascular disease. Treatment of VCI has been hindered by the lack of a coherent pathophysiological process that could provide molecular targets. Of the several forms of VCI, the small vessel disease form is both the most prevalent and generally has a progressive course. Binswanger's disease (BD) is the small vessel form of VCI that involves extensive injury to the deep white matter. Growing evidence suggests that there is disruption of the blood-brain barrier (BBB) secondary to an inflammatory state. Matrix metalloproteinases (MMPs) are increased in the brain and CSF of patients with BD, and have been shown to disrupt the BBB in animal studies, suggesting that they may be biomarkers and therapeutic targets. Multimodal biomarkers derived from clinical, neuropsychological, imaging, and biochemical data can be used to narrow the VCI population to the progressive inflammatory form that will be optimal for treatment trials. This review describes the role of the MMPs in pathophysiology and their use as biomarkers.
Collapse
Affiliation(s)
- Gary A Rosenberg
- Departments of Neurology, Neurosciences, Cell Biology and Physiology, and Mathematics and Statistics, Health Sciences Center, University of New Mexico, Albuquerque, NM, 87107, USA.
| |
Collapse
|
27
|
Alzheimer's disease--subcortical vascular disease spectrum in a hospital-based setting: Overview of results from the Gothenburg MCI and dementia studies. J Cereb Blood Flow Metab 2016; 36. [PMID: 26219595 PMCID: PMC4702291 DOI: 10.1038/jcbfm.2015.148] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The ability to discriminate between Alzheimer's disease (AD), subcortical vascular disease, and other cognitive disorders is crucial for diagnostic purposes and clinical trial outcomes. Patients with primarily subcortical vascular disease are unlikely to benefit from treatments targeting the AD pathogenic mechanisms and vice versa. The Gothenburg mild cognitive impairment (MCI) and dementia studies are prospective, observational, single-center cohort studies suitable for both cross-sectional and longitudinal analysis that outline the cognitive profiles and biomarker characteristics of patients with AD, subcortical vascular disease, and other cognitive disorders. The studies, the first of which started in 1987, comprise inpatients with manifest dementia and patients seeking care for cognitive disorders at an outpatient memory clinic. This article gives an overview of the major published papers (neuropsychological, imaging/physiology, and neurochemical) of the studies including the ongoing Gothenburg MCI study. The main findings suggest that subcortical vascular disease with or without dementia exhibit a characteristic neuropsychological pattern of mental slowness and executive dysfunction and neurochemical deviations typical of white matter changes and disturbed blood-brain barrier function. Our findings may contribute to better healthcare for this underrecognized group of patients. The Gothenburg MCI study has also published papers on multimodal prediction of dementia, and cognitive reserve.
Collapse
|
28
|
Li Y, Sun Y, Li J, Wang Z, Lin Y, Tang L, Xia D, Zheng T, Yang X, Sha L, Sun CK. Changes of ubiquitin C-terminal hydrolase-L1 levels in serum and urine of patients with white matter lesions. J Neurol Sci 2015; 357:215-21. [PMID: 26232084 DOI: 10.1016/j.jns.2015.07.033] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2015] [Revised: 06/17/2015] [Accepted: 07/21/2015] [Indexed: 10/23/2022]
Abstract
OBJECTIVES Ubiquitin carboxy-terminal hydrolase-L1 (UCH-L1) has been established as a potential biomarker of neuronal damage. There is not much information about the effects of white matter lesions (WMLs) on serum and urine UCH-L1 levels in white matter disease patients. This study was aimed to assess whether serum or urine UCH-L1 levels are a reliable marker of brain damage in patients with WMLs. DESIGN AND METHODS Serum and urine levels of UCH-L1 were assessed in 125 patients with dizziness, hypertension, type 2 diabetes mellitus, or dyslipidemia. Of these 125 patient cases, 41 showed periventricular WMLs (P-WMLs), 46 showed subcortical WMLs (S-WMLs), and 38 displayed no well-defined WMLs (controls). RESULTS Serum UCH-L1 levels were significantly different between the WML group and controls (p<0.05). Further subgroup analysis proved that serum UCH-L1 levels in participants with S-WMLs were significantly increased when compared with controls (p<0.001), but there was no significant differences between controls and patients with P-WMLs (p>0.05). However, urine levels of UCH-L1 were similar between these three groups (p>0.05). In addition, multivariate analysis showed that increased serum UCH-L1 levels were independently associated with the severity of WMLs using Fazekas scale (β=0.432, p<0.001). CONCLUSIONS These findings suggest that serum UCH-L1 levels may serve as a novel biomarker for neuronal damage from WMLs, especially S-WMLs.
Collapse
Affiliation(s)
- Yuyuan Li
- Liaoning Provincial Key Laboratory of Cerebral Diseases, Institute for Brain Disorders, Dalian Medical University, Western 9 Lvshunnan Road, Lvshun District, Dalian 116044, PR China.
| | - Yang Sun
- Liaoning Provincial Key Laboratory of Cerebral Diseases, Institute for Brain Disorders, Dalian Medical University, Western 9 Lvshunnan Road, Lvshun District, Dalian 116044, PR China
| | - Jian Li
- Department of Orthopaedics, The Xinhua Hospital Affiliated to Dalian University, No. 156 Wansui Street, Dalian 116021, PR China
| | - Zhe Wang
- Department of Neurology, First Affiliated Hospital of Dalian Medical University, No. 222 Zhongshan Road, Dalian 116011, PR China
| | - Yongzhong Lin
- Department of Neurology, Second Affiliated Hospital of Dalian Medical University, Dalian 116023, PR China
| | - Ling Tang
- Liaoning Provincial Key Laboratory of Cerebral Diseases, Institute for Brain Disorders, Dalian Medical University, Western 9 Lvshunnan Road, Lvshun District, Dalian 116044, PR China
| | - Dandan Xia
- Liaoning Provincial Key Laboratory of Cerebral Diseases, Institute for Brain Disorders, Dalian Medical University, Western 9 Lvshunnan Road, Lvshun District, Dalian 116044, PR China
| | - Tiezheng Zheng
- Liaoning Provincial Key Laboratory of Cerebral Diseases, Institute for Brain Disorders, Dalian Medical University, Western 9 Lvshunnan Road, Lvshun District, Dalian 116044, PR China
| | - Xiaohan Yang
- Liaoning Provincial Key Laboratory of Cerebral Diseases, Institute for Brain Disorders, Dalian Medical University, Western 9 Lvshunnan Road, Lvshun District, Dalian 116044, PR China
| | - Li Sha
- Department of Psychology, Dalian Medical University, Western 9 Lvshunnan Road, Lvshun District, Dalian 116044, PR China
| | - C K Sun
- Liaoning Provincial Key Laboratory of Cerebral Diseases, Institute for Brain Disorders, Dalian Medical University, Western 9 Lvshunnan Road, Lvshun District, Dalian 116044, PR China.
| |
Collapse
|