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Khalil M, Teunissen CE, Lehmann S, Otto M, Piehl F, Ziemssen T, Bittner S, Sormani MP, Gattringer T, Abu-Rumeileh S, Thebault S, Abdelhak A, Green A, Benkert P, Kappos L, Comabella M, Tumani H, Freedman MS, Petzold A, Blennow K, Zetterberg H, Leppert D, Kuhle J. Neurofilaments as biomarkers in neurological disorders - towards clinical application. Nat Rev Neurol 2024; 20:269-287. [PMID: 38609644 DOI: 10.1038/s41582-024-00955-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/15/2024] [Indexed: 04/14/2024]
Abstract
Neurofilament proteins have been validated as specific body fluid biomarkers of neuro-axonal injury. The advent of highly sensitive analytical platforms that enable reliable quantification of neurofilaments in blood samples and simplify longitudinal follow-up has paved the way for the development of neurofilaments as a biomarker in clinical practice. Potential applications include assessment of disease activity, monitoring of treatment responses, and determining prognosis in many acute and chronic neurological disorders as well as their use as an outcome measure in trials of novel therapies. Progress has now moved the measurement of neurofilaments to the doorstep of routine clinical practice for the evaluation of individuals. In this Review, we first outline current knowledge on the structure and function of neurofilaments. We then discuss analytical and statistical approaches and challenges in determining neurofilament levels in different clinical contexts and assess the implications of neurofilament light chain (NfL) levels in normal ageing and the confounding factors that need to be considered when interpreting NfL measures. In addition, we summarize the current value and potential clinical applications of neurofilaments as a biomarker of neuro-axonal damage in a range of neurological disorders, including multiple sclerosis, Alzheimer disease, frontotemporal dementia, amyotrophic lateral sclerosis, stroke and cerebrovascular disease, traumatic brain injury, and Parkinson disease. We also consider the steps needed to complete the translation of neurofilaments from the laboratory to the management of neurological diseases in clinical practice.
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Affiliation(s)
- Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria.
| | - Charlotte E Teunissen
- Neurochemistry Laboratory Department of Laboratory Medicine, Amsterdam Neuroscience, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, Netherlands
| | - Sylvain Lehmann
- LBPC-PPC, Université de Montpellier, INM INSERM, IRMB CHU de Montpellier, Montpellier, France
| | - Markus Otto
- Department of Neurology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Fredrik Piehl
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Stefan Bittner
- Department of Neurology, Focus Program Translational Neuroscience (FTN), and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Maria Pia Sormani
- Department of Health Sciences, University of Genova, Genova, Italy
- IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Thomas Gattringer
- Department of Neurology, Medical University of Graz, Graz, Austria
- Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | - Samir Abu-Rumeileh
- Department of Neurology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Simon Thebault
- Multiple Sclerosis Division, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ahmed Abdelhak
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco, CA, USA
| | - Ari Green
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco, CA, USA
| | - Pascal Benkert
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Ludwig Kappos
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Manuel Comabella
- Neurology Department, Multiple Sclerosis Centre of Catalonia, Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Hayrettin Tumani
- Department of Neurology, CSF Laboratory, Ulm University Hospital, Ulm, Germany
| | - Mark S Freedman
- Department of Medicine, University of Ottawa, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Axel Petzold
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Neurology, MS Centre and Neuro-ophthalmology Expertise Centre Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
- Moorfields Eye Hospital, The National Hospital for Neurology and Neurosurgery and the Queen Square Institute of Neurology, UCL, London, UK
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
- Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, and Department of Neurology, Institute on Aging and Brain Disorders, University of Science and Technology of China and First Affiliated Hospital of USTC, Hefei, P. R. China
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - David Leppert
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland.
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland.
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Chong JR, Chai YL, Yam ATY, Hilal S, Vrooman H, Venketasubramanian N, Blennow K, Zetterberg H, Ashton NJ, Chen CP, Lai MKP. Association of plasma GFAP with elevated brain amyloid is dependent on severity of white matter lesions in an Asian cognitively impaired cohort. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12576. [PMID: 38605996 PMCID: PMC11007806 DOI: 10.1002/dad2.12576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 02/25/2024] [Accepted: 03/01/2024] [Indexed: 04/13/2024]
Abstract
INTRODUCTION While elevated blood glial fibrillary acidic protein (GFAP) has been associated with brain amyloid pathology, whether this association occurs in populations with high cerebral small vessel disease (CSVD) concomitance remains unclear. METHODS Using a Singapore-based cohort of cognitively impaired subjects, we assessed associations between plasma GFAP and neuroimaging measures of brain amyloid and CSVD, including white matter hyperintensities (WMH). We also examined the diagnostic performance of plasma GFAP in detecting brain amyloid beta positivity (Aβ+). RESULTS When stratified by WMH status, elevated brain amyloid was associated with higher plasma GFAP only in the WMH- group (β = 0.383; P < 0.001). The diagnostic performance of plasma GFAP in identifying Aβ+ was significantly higher in the WMH- group (area under the curve [AUC] = 0.896) than in the WMH+ group (AUC = 0.712, P = 0.008). DISCUSSION The biomarker utility of plasma GFAP in detecting brain amyloid pathology is dependent on the severity of concomitant WMH. Highlight Glial fibrillary acidic protein (GFAP)'s association with brain amyloid is unclear in populations with high cerebral small vessel disease (CSVD).Plasma GFAP was measured in a cohort with CSVD and brain amyloid.Plasma GFAP was better in detecting amyloid in patients with low CSVD versus high CSVD.Biomarker utility of GFAP in detecting brain amyloid depends on the severity of CSVD.
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Affiliation(s)
- Joyce R. Chong
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
| | - Yuek Ling Chai
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
| | - Amelia T. Y. Yam
- 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
- Department of Radiology and Nuclear MedicineErasmus Medical CenterRotterdamthe Netherlands
| | - Henri Vrooman
- Department of Radiology and Nuclear MedicineErasmus Medical CenterRotterdamthe Netherlands
| | | | - Kaj Blennow
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGöteborgSweden
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGöteborgSweden
- Department of Neurodegenerative DiseaseThe UCL Queen Square Institute of NeurologyLondonUK
| | - Nicholas J. Ashton
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGöteborgSweden
| | - Christopher P. Chen
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
| | - Mitchell K. P. Lai
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
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Zhang J, Liu D, Xiang J, Yang M. Combining Glial Fibrillary Acidic Protein and Neurofilament Light Chain for the Diagnosis of Major Depressive Disorder. Anal Chem 2024; 96:1693-1699. [PMID: 38231554 DOI: 10.1021/acs.analchem.3c04825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
Major depressive disorder (MDD) is a prevalent brain disorder affecting more than 2% of the world's population. Due to the lack of well-specific biomarkers, it is difficult to distinguish MDD from other diseases with similar clinical symptoms (such as Alzheimer's disease and cerebral thrombosis). In this work, we provided a strategy to address this issue by constructing a combinatorial biomarker of serum glial fibrillary acidic protein (GFAP) and neurofilament light chain (NFL). To achieve the convenient and sensitive detection of two proteins, we developed an electrochemical immunosandwich sensor using two metal-ion-doped carbon dots (Pb-CDs and Cu-CDs) as probes for signal output. Each probe contains approximately 300 Pb2+ or 200 Cu2+, providing excellent signal amplification. This method achieved detection limits of 0.3 pg mL-1 for GFAP and 0.2 pg mL-1 for NFL, lower than most of the reported detection limits. Analysis of real serum samples showed that the concentration ratio of GFAP to NFL, which is associated with the relative degree of brain inflammation and neurodegeneration, is suitable for not only distinguishing MDD from healthy individuals but also specifically distinguishing MDD from Alzheimer's disease and cerebral thrombosis. The good specificity gives the combinatorial GFAP/NFL biomarker broad application prospects in the screening, diagnosis, and treatment of MDD.
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Affiliation(s)
- JinXia Zhang
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, P. R. China
| | - Dan Liu
- Eye Center of Xiangya Hospital, Central South University, Changsha 410083, P. R. China
| | - Juan Xiang
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, P. R. China
| | - Minghui Yang
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, P. R. China
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Ding X, Chen Y, Guo C, Fu Y, Qin C, Zhu Q, Wang J, Zhang R, Tian H, Feng R, Liu H, Liang D, Wang G, Teng J, Li J, Tang B, Wang X. Mutations in ARHGEF15 cause autosomal dominant hereditary cerebral small vessel disease and osteoporotic fracture. Acta Neuropathol 2023; 145:681-705. [PMID: 36929019 DOI: 10.1007/s00401-023-02560-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 02/26/2023] [Accepted: 03/09/2023] [Indexed: 03/18/2023]
Abstract
Cerebral small vessel disease (CSVD) is a prominent cause of ischemic and hemorrhagic stroke and a leading cause of vascular dementia, affecting small penetrating vessels of the brain. Despite current advances in genetic susceptibility studies, challenges remain in defining the causative genes and the underlying pathophysiological mechanisms. Here, we reported that the ARHGEF15 gene was a causal gene linked to autosomal dominant inherited CSVD. We identified one heterozygous nonsynonymous mutation of the ARHGEF15 gene that cosegregated completely in two families with CSVD, and a heterozygous nonsynonymous mutation and a stop-gain mutation in two individuals with sporadic CSVD, respectively. Intriguingly, clinical imaging and pathological findings displayed severe osteoporosis and even osteoporotic fractures in all the ARHGEF15 mutation carriers. In vitro experiments indicated that ARHGEF15 mutations resulted in RhoA/ROCK2 inactivation-induced F-actin cytoskeleton disorganization in vascular smooth muscle cells and endothelial cells and osteoblast dysfunction by inhibiting the Wnt/β-catenin signaling pathway in osteoblast cells. Furthermore, Arhgef15-e(V368M)1 transgenic mice developed CSVD-like pathological and behavioral phenotypes, accompanied by severe osteoporosis. Taken together, our findings provide strong evidence that loss-of-function mutations of the ARHGEF15 gene cause CSVD accompanied by osteoporotic fracture.
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Affiliation(s)
- Xuebing Ding
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Yongkang Chen
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Cancan Guo
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Yu Fu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Chi Qin
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Qingyong Zhu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Jiuqi Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Rui Zhang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Haiyan Tian
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Renyi Feng
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Han Liu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Dongxiao Liang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Guanghui Wang
- Laboratory of Molecular Neuropathology, Jiangsu Key Laboratory of Neuropsychiatric Diseases &, Department of Pharmacology, College of Pharmaceutical Sciences, Soochow University, Suzhou, China
| | - Junfang Teng
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China
| | - Jinchen Li
- Bioinformatics Center, National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China.
| | - Beisha Tang
- The First Affiliated Hospital, Multi-Omics Research Center for Brain Disorders, Hengyang Medical School, University of South China, Hengyang, China.
| | - Xuejing Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
- Institute of Parkinson and Movement Disorder, Zhengzhou University, Zhengzhou, China.
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Hernandez L, Ward LJ, Arefin S, Barany P, Wennberg L, Söderberg M, Bruno S, Cantaluppi V, Stenvinkel P, Kublickiene K. Blood–Brain Barrier Biomarkers before and after Kidney Transplantation. Int J Mol Sci 2023; 24:ijms24076628. [PMID: 37047601 PMCID: PMC10095132 DOI: 10.3390/ijms24076628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 03/27/2023] [Accepted: 03/30/2023] [Indexed: 04/05/2023] Open
Abstract
Kidney transplantation (KT) may improve the neurological status of chronic kidney disease (CKD) patients, reflected by the altered levels of circulating BBB-specific biomarkers. This study compares the levels of neuron specific enolase (NSE), brain-derived neurotrophic factor (BDNF), neurofilament light chain (NfL), and circulating plasma extracellular vesicles (EVs) in kidney-failure patients before KT and at a two-year follow up. Using ELISA, NSE, BDNF, and NfL levels were measured in the plasma of 74 living-donor KT patients. Plasma EVs were isolated with ultracentrifugation, and characterized for concentration/size and surface protein expression using flow cytometry from a subset of 25 patients. Lower NSE levels, and higher BDNF and NfL were observed at the two-year follow-up compared to the baseline (p < 0.05). Male patients had significantly higher BDNF levels compared to those of females. BBB biomarkers correlated with the baseline lipid profile and with glucose, vitamin D, and inflammation markers after KT. BBB surrogate marker changes in the microcirculation of early vascular aging phenotype patients with calcification and/or fibrosis were observed only in NSE and BDNF. CD31+ microparticles from endothelial cells expressing inflammatory markers such as CD40 and integrins were significantly reduced after KT. KT may, thus, improve the neurological status of CKD patients, as reflected by changes in BBB-specific biomarkers.
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Affiliation(s)
- Leah Hernandez
- Division of Renal Medicine, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Liam J. Ward
- Division of Renal Medicine, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, 171 77 Stockholm, Sweden
- Department of Forensic Genetics and Forensic Toxicology, National Board of Forensic Medicine, 587 58 Linköping, Sweden
| | - Samsul Arefin
- Division of Renal Medicine, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Peter Barany
- Division of Renal Medicine, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Lars Wennberg
- Department of Transplantation Surgery, Karolinska University Hospital, 141 86 Stockholm, Sweden
| | - Magnus Söderberg
- Department of Pathology, Clinical Pharmacology and Safety Sciences, R&D AstraZeneca, 431 83 Gothenburg, Sweden
| | - Stefania Bruno
- Department of Medical Sciences, University of Torino, 10124 Torino, Italy
| | - Vincenzo Cantaluppi
- Nephrology and Kidney Transplant Unit, Department of Translational Medicine (DIMET), University of Piemonte Orientale (UPO), “Maggiore della Carita” University Hospital, 28100 Novara, Italy
| | - Peter Stenvinkel
- Division of Renal Medicine, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Karolina Kublickiene
- Division of Renal Medicine, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, 171 77 Stockholm, Sweden
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Chong JR, Hilal S, Ashton NJ, Karikari TK, Reilhac A, Vrooman H, Schöll M, Zetterberg H, Blennow K, Chen CP, Lai MKP. Brain atrophy and white matter hyperintensities are independently associated with plasma neurofilament light chain in an Asian cohort of cognitively impaired patients with concomitant cerebral small vessel disease. ALZHEIMER'S & DEMENTIA : DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2023; 15:e12396. [PMID: 36994314 PMCID: PMC10040495 DOI: 10.1002/dad2.12396] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 12/14/2022] [Accepted: 12/20/2022] [Indexed: 03/28/2023]
Abstract
Introduction Plasma neurofilament light chain (NfL) is a potential biomarker for neurodegeneration in Alzheimer's disease (AD), ischemic stroke, and non‐dementia cohorts with cerebral small vessel disease (CSVD). However, studies of AD in populations with high prevalence of concomitant CSVD to evaluate associations of brain atrophy, CSVD, and amyloid beta (Aβ) burden on plasma NfL are lacking. Methods Associations were tested between plasma NfL and brain Aβ, medial temporal lobe atrophy (MTA) as well as neuroimaging features of CSVD, including white matter hyperintensities (WMH), lacunes, and cerebral microbleeds. Results We found that participants with either MTA (defined as MTA score ≥2; neurodegeneration [N]+WMH−) or WMH (cut‐off for log‐transformed WMH volume at 50th percentile; N−WMH+) manifested increased plasma NfL levels. Participants with both pathologies (N+WMH+) showed the highest NfL compared to N+WMH−, N−WMH+, and N−WMH− individuals. Discussion Plasma NfL has potential utility in stratifying individual and combined contributions of AD pathology and CSVD to cognitive impairment.
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Affiliation(s)
- Joyce R. Chong
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
| | - Saima Hilal
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
- Saw Swee Hock School of Public HealthNational University of Singapore and National University Health SystemKent RidgeSingapore
| | - Nicholas J. Ashton
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Wallenberg Centre for Molecular and Translational MedicineUniversity of GothenburgGothenburgSweden
- King's College LondonInstitute of PsychiatryPsychology and NeuroscienceMaurice Wohl Institute Clinical Neuroscience InstituteLondonUK
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS FoundationLondonUK
| | - Thomas K. Karikari
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Anthonin Reilhac
- Clinical Imaging Research CentreYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
| | - Henri Vrooman
- Department of Radiology and Nuclear MedicineErasmus Medical CenterRotterdamthe Netherlands
| | - Michael Schöll
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Wallenberg Centre for Molecular and Translational MedicineUniversity of GothenburgGothenburgSweden
- Department of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Department of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
- UK Dementia Research Institute at UCLLondonUK
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalGothenburgSweden
- Hong Kong Center for Neurodegenerative Diseasesthe Hong Kong University of Science and TechnologyHong Kong Science ParkShatinNew TerritoriesHong Kong SARChina
| | - Kaj Blennow
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Sahlgrenska Academy at the University of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalGothenburgSweden
| | - Christopher P. Chen
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
- Department of Psychological MedicineYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
| | - Mitchell K. P. Lai
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
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7
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Zhou S, Liu D, Chen J, Xiang C, Xiang J, Yang M. Electrochemical Quantitation of the Glycosylation Level of Serum Neurofilament Light Chain for the Diagnosis of Neurodegeneration: An Interface-Solution Dual-Path Amplification Strategy. Anal Chem 2022; 94:11433-11440. [PMID: 35913270 DOI: 10.1021/acs.analchem.2c02753] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Serum neurofilament light chain (NFL), a potential general biomarker for neurodegenerative diseases, is not specific enough to differentiate neurodegenerative diseases from other brain diseases such as cerebral thrombosis (CT). According to the importance of glycosylation in neurodegenerative pathogenesis, the NFL glycosylation level (oNFL/tNFL), defined as the ratio of glycosylated NFL (oNFL) to total NFL (tNFL), may be a more effective index. The major challenge in serum oNFL/tNFL detection is the ultra-low abundance of both NFL forms. In this paper, we achieved a convenient one-step electrochemical quantitation of oNFL/tNFL based on an interface-solution dual-path amplification strategy. Two amplified electrochemical signals─the reduction of Cu2+ from adsorbed porous nanoparticles on the sensor interface and the reduction of O2 from horseradish peroxidase-catalyzed H2O2 disproportionation in solution─were adopted to quantify tNFL and oNFL, respectively. The electrochemical sensor displayed good sensitivity, selectivity, and reproducibility. The dynamic range is 1-25 pg mL-1 for tNFL and 0.25-25 pg mL-1 for oNFL, respectively. By analyzing the clinic serum samples, for the first time, our work provided the abundance of oNFL in human serum and revealed that the oNFL/tNFL is effective not only in differentiating three kinds of brain damage patients from healthy people but also in differentiating neurodegeneration from non-neurodegeneration CT patients. As a general biomarker, the oNFL/tNFL is more specific than NFL, which is hoped to be a new and valid indicator for the diagnosis, progression, prediction, and treatment evaluation of neurodegenerative diseases.
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Affiliation(s)
- Siqiuyue Zhou
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, P. R. China.,National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Central South University, Changsha 410083, P. R. China
| | - Dan Liu
- Eye Center of Xiangya Hospital, Central South University, Changsha 410083, P. R. China
| | - Jia Chen
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, P. R. China
| | - Chao Xiang
- Wuhan Red Cross Hospital, Wuhan 430015, P. R. China
| | - Juan Xiang
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, P. R. China.,National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Central South University, Changsha 410083, P. R. China
| | - Minghui Yang
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, P. R. China
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