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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Jing X, Wang L, Song M, Geng H, Li W, Huo Y, Huang A, Wang X, An C. Serum neurofilament light chain and inflammatory cytokines as biomarkers for early detection of mild cognitive impairment. Sci Rep 2024; 14:9072. [PMID: 38643230 PMCID: PMC11032306 DOI: 10.1038/s41598-024-59530-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 04/11/2024] [Indexed: 04/22/2024] Open
Abstract
To investigate the association between serum neurofilament light chain (NfL) levels, inflammatory cytokines, and cognitive function to assess their utility in the early detection of mild cognitive impairment (MCI). We conducted a cross-sectional study involving 157 community-dwelling individuals aged 55 years and above, categorized into healthy controls, MCI, and probable Alzheimer's disease (AD). Serum levels of NfL, inflammatory cytokines, and AD pathology markers were measured using enzyme-linked immunosorbent assay (ELISA). Correlations between these biomarkers and cognitive function were analyzed, and the diagnostic performance of the cognitive assessment scales and serum biomarker concentrations was evaluated using receiver operating characteristic (ROC) curve analysis. Serum NfL levels were significantly elevated in MCI and probable AD groups compared to healthy controls. Positive correlations were found between serum NfL and inflammatory cytokines IL-1β, IL-6, and Aβ40. Combining serum NfL with p-tau217 and the Boston Naming Test significantly enhanced the predictive accuracy for MCI. However, combining serum NfL with inflammatory markers did not improve MCI prediction accuracy. Elevated serum NfL is associated with cognitive impairment and inflammatory markers, suggesting its potential as a peripheral serum biomarker for MCI detection. The combination of serum NfL with p-tau217 and cognitive tests could offer a more accurate prediction of MCI, providing new insights for AD treatment strategies.
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Affiliation(s)
- Xinyang Jing
- Mental Health Center, The First Hospital of Hebei Medical University, Hebei Clinical Research Center for Mental Disorders and Institute of Mental Health, Hebei Technical Innovation Center for Mental Health Assessment and Intervention, 89 Donggang Road, Shijiazhuang, 050031, China
| | - Lan Wang
- Mental Health Center, The First Hospital of Hebei Medical University, Hebei Clinical Research Center for Mental Disorders and Institute of Mental Health, Hebei Technical Innovation Center for Mental Health Assessment and Intervention, 89 Donggang Road, Shijiazhuang, 050031, China
- Hebei Key Laboratory of Forensic Medicine, Shijiazhuang, 050017, Hebei Province, China
| | - Mei Song
- Mental Health Center, The First Hospital of Hebei Medical University, Hebei Clinical Research Center for Mental Disorders and Institute of Mental Health, Hebei Technical Innovation Center for Mental Health Assessment and Intervention, 89 Donggang Road, Shijiazhuang, 050031, China
| | - Hao Geng
- Mental Health Center, The First Hospital of Hebei Medical University, Hebei Clinical Research Center for Mental Disorders and Institute of Mental Health, Hebei Technical Innovation Center for Mental Health Assessment and Intervention, 89 Donggang Road, Shijiazhuang, 050031, China
| | - Wei Li
- Mental Health Center, The First Hospital of Hebei Medical University, Hebei Clinical Research Center for Mental Disorders and Institute of Mental Health, Hebei Technical Innovation Center for Mental Health Assessment and Intervention, 89 Donggang Road, Shijiazhuang, 050031, China
| | - Yaxin Huo
- Mental Health Center, The First Hospital of Hebei Medical University, Hebei Clinical Research Center for Mental Disorders and Institute of Mental Health, Hebei Technical Innovation Center for Mental Health Assessment and Intervention, 89 Donggang Road, Shijiazhuang, 050031, China
| | - Anqi Huang
- Mental Health Center, The First Hospital of Hebei Medical University, Hebei Clinical Research Center for Mental Disorders and Institute of Mental Health, Hebei Technical Innovation Center for Mental Health Assessment and Intervention, 89 Donggang Road, Shijiazhuang, 050031, China
| | - Xueyi Wang
- Mental Health Center, The First Hospital of Hebei Medical University, Hebei Clinical Research Center for Mental Disorders and Institute of Mental Health, Hebei Technical Innovation Center for Mental Health Assessment and Intervention, 89 Donggang Road, Shijiazhuang, 050031, China
| | - Cuixia An
- Mental Health Center, The First Hospital of Hebei Medical University, Hebei Clinical Research Center for Mental Disorders and Institute of Mental Health, Hebei Technical Innovation Center for Mental Health Assessment and Intervention, 89 Donggang Road, Shijiazhuang, 050031, China.
- Hebei Key Laboratory of Forensic Medicine, Shijiazhuang, 050017, Hebei Province, China.
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Bavato F, Barro C, Schnider LK, Simrén J, Zetterberg H, Seifritz E, Quednow BB. Introducing neurofilament light chain measure in psychiatry: current evidence, opportunities, and pitfalls. Mol Psychiatry 2024:10.1038/s41380-024-02524-6. [PMID: 38503931 DOI: 10.1038/s41380-024-02524-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 02/29/2024] [Accepted: 03/07/2024] [Indexed: 03/21/2024]
Abstract
The recent introduction of new-generation immunoassay methods allows the reliable quantification of structural brain markers in peripheral matrices. Neurofilament light chain (NfL), a neuron-specific cytoskeletal component released in extracellular matrices after neuroaxonal impairment, is considered a promising blood marker of active brain pathology. Given its sensitivity to a wide range of neuropathological alterations, NfL has been suggested for the use in clinical practice as a highly sensitive, but unspecific tool to quantify active brain pathology. While large efforts have been put in characterizing its clinical profile in many neurological conditions, NfL has received far less attention as a potential biomarker in major psychiatric disorders. Therefore, we briefly introduce NfL as a marker of neuroaxonal injury, systematically review recent findings on cerebrospinal fluid and blood NfL levels in patients with primary psychiatric conditions and highlight the opportunities and pitfalls. Current evidence suggests an elevation of blood NfL levels in patients with major depression, bipolar disorder, psychotic disorders, anorexia nervosa, and substance use disorders compared to physiological states. However, blood NfL levels strongly vary across diagnostic entities, clinical stage, and patient subgroups, and are influenced by several demographic, clinical, and analytical factors, which require accurate characterization. Potential clinical applications of NfL measure in psychiatry are seen in diagnostic and prognostic algorithms, to exclude neurodegenerative disease, in the assessment of brain toxicity for different pharmacological compounds, and in the longitudinal monitoring of treatment response. The high inter-individual variability of NfL levels and the lack of neurobiological understanding of its release are some of the main current limitations. Overall, this primer aims to introduce researchers and clinicians to NfL measure in the psychiatric field and to provide a conceptual framework for future research directions.
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Affiliation(s)
- Francesco Bavato
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy and Psychosomatics; Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland.
| | - Christian Barro
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Laura K Schnider
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy and Psychosomatics; Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Joel Simrén
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 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
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, 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
| | - Erich Seifritz
- Department of Psychiatry, Psychotherapy and Psychosomatics; Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Zurich, Switzerland
| | - Boris B Quednow
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy and Psychosomatics; Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Zurich, Switzerland
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Giuffrè GM, Quaranta D, Costantini EM, Citro S, Martellacci N, De Ninno G, Vita MG, Guglielmi V, Rossini PM, Calabresi P, Marra C. Cerebrospinal fluid neurofilament light chain and total-tau as biomarkers of neurodegeneration in Alzheimer's disease and frontotemporal dementia. Neurobiol Dis 2023; 186:106267. [PMID: 37652185 DOI: 10.1016/j.nbd.2023.106267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 08/10/2023] [Accepted: 08/22/2023] [Indexed: 09/02/2023] Open
Abstract
INTRODUCTION CSF Neurofilament light chain(NfL) is a promising biomarker of neurodegeneration, but its utility in discriminating between Alzheimer's disease(AD) and frontotemporal dementia(FTD) is limited. METHODS 105 patients with clinical-biological diagnosis of mild cognitive impairment(MCI) due to AD (N = 72) or clinical diagnosis of FTD (N = 33) underwent neuropsychological assessment and CSF Aβ42/40, p-tau181, total-tau and NfL quantification. Group comparisons, correlations between continuous variables and ROC curve analysis were carried out to assess NfL role in discriminating between MCI due to AD and FTD, exploring the associations between NfL, ATN biomarkers and neuropsychological measures. RESULTS NfL levels were significantly lower in the AD group, while levels of total-tau were higher. In the FTD group, significant correlations were found between NfL, p-tau181 and total-tau, and between NfL and cognitive performances. In the AD group, NfL levels were directly correlated with total-tau and p-tau181; Aβ42/40 ratio was inversely correlated with total-tau and p-tau181, but not with NfL. Moreover, p-tau181 and t-tau levels were found to be associated with episodic memory and lexical-semantic impairment. Total-tau/NfL ratio differentiated prodromal-AD from FTD with an AUC of 0.951, higher than the individual measures. DISCUSSION & CONCLUSIONS The results support that NfL and total-tau levels reflect distinct pathophysiological neurodegeneration mechanisms, independent and dependent of Aβ pathology, respectively, Combining them may enhance both markers reliability, their ratio showing high accuracy in distinguishing MCI due to AD from FTD. Moreover, our results revealed associations between NfL and disease severity in FTD and between tauopathy and episodic memory and lexical-semantic impairment in prodromal-AD.
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Affiliation(s)
- Guido Maria Giuffrè
- Neurology Unit Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy; Memory Clinic Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy; Department of Neuroscience, Catholic University of the Sacred Heart, Rome, Italy
| | - Davide Quaranta
- Neurology Unit Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy; Memory Clinic Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy; Department of Neuroscience, Catholic University of the Sacred Heart, Rome, Italy.
| | | | - Salvatore Citro
- Neurology Unit Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy; Memory Clinic Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy; Department of Neuroscience, Catholic University of the Sacred Heart, Rome, Italy
| | - Noemi Martellacci
- Memory Clinic Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Grazia De Ninno
- UOC of Chemistry, Biochemistry and Clinical Molecular Biology - Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Maria Gabriella Vita
- Neurology Unit Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Valeria Guglielmi
- Neurology Unit Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Paolo Maria Rossini
- Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Rome, Italy
| | - Paolo Calabresi
- Neurology Unit Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy; Memory Clinic Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy; Department of Neuroscience, Catholic University of the Sacred Heart, Rome, Italy
| | - Camillo Marra
- Memory Clinic Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy; Department of Neuroscience, Catholic University of the Sacred Heart, Rome, Italy
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Elmers J, Colzato LS, Akgün K, Ziemssen T, Beste C. Neurofilaments - Small proteins of physiological significance and predictive power for future neurodegeneration and cognitive decline across the life span. Ageing Res Rev 2023; 90:102037. [PMID: 37619618 DOI: 10.1016/j.arr.2023.102037] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 05/15/2023] [Accepted: 08/17/2023] [Indexed: 08/26/2023]
Abstract
Neurofilaments (NFs) are not only important for axonal integrity and nerve conduction in large myelinated axons but they are also thought to be crucial for receptor and synaptic functioning. Therefore, NFs may play a critical role in cognitive functions, as cognitive processes are known to depend on synaptic integrity and are modulated by dopaminergic signaling. Here, we present a theory-driven interdisciplinary approach that NFs may link inflammation, neurodegeneration, and cognitive functions. We base our hypothesis on a wealth of evidence suggesting a causal link between inflammation and neurodegeneration and between these two and cognitive decline (see Fig. 1), also taking dopaminergic signaling into account. We conclude that NFs may not only serve as biomarkers for inflammatory, neurodegenerative, and cognitive processes but also represent a potential mechanical hinge between them, moreover, they may even have predictive power regarding future cognitive decline. In addition, we advocate the use of both NFs and MRI parameters, as their synthesis offers the opportunity to individualize medical treatment by providing a comprehensive view of underlying disease activity in neurological diseases. Since our society will become significantly older in the upcoming years and decades, maintaining cognitive functions and healthy aging will play an important role. Thanks to technological advances in recent decades, NFs could serve as a rapid, noninvasive, and relatively inexpensive early warning system to identify individuals at increased risk for cognitive decline and could facilitate the management of cognitive dysfunctions across the lifespan.
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Affiliation(s)
- Julia Elmers
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Germany; Center of Clinical Neuroscience, Department of Neurology, University Hospital Carl Gustav Carus, TU Dresden, Germany
| | - Lorenza S Colzato
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Germany; Cognitive Psychology, Faculty of Psychology, Shandong Normal University, Jinan, China.
| | - Katja Akgün
- Center of Clinical Neuroscience, Department of Neurology, University Hospital Carl Gustav Carus, TU Dresden, Germany
| | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Department of Neurology, University Hospital Carl Gustav Carus, TU Dresden, Germany
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Germany; Cognitive Psychology, Faculty of Psychology, Shandong Normal University, Jinan, China.
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Yang L, Yang F, Deng Y, Yan A, Wei W, Fang X. White matter hyperintensity mediating gait disorders in iNPH patients via neurofilament light chain. Front Aging Neurosci 2023; 15:1117675. [PMID: 37032824 PMCID: PMC10081026 DOI: 10.3389/fnagi.2023.1117675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 02/28/2023] [Indexed: 03/18/2023] Open
Abstract
PurposeThis study aimed to analyze the differences in regional white matter hyperintensities (WMH) volume and cerebrospinal fluid biomarker levels between idiopathic normal pressure hydrocephalus (iNPH) patients with or without gait disorder.MethodsForty-eight iNPH patients undergoing bypass surgery and 20 normal senile individuals were included. The LST toolkit was used to segment all MRI fluid attenuation inversion images and quantify the WMH volume in each brain region. Cerebrospinal fluid was collected from all individuals and measured for concentrations of Aβ, t-tau, p-tau, and neurofilament light chain (NfL). Patients with iNPH were followed up for 1 year and divided categorized into a gait disorder improvement group and no improvement group according to the 3 m round-trip test time parameter improvement by more than 10%.ResultsWe found that WMH in all areas of iNPH patients was higher than that in the control group. CSF levels of Aβ, t-tau, and p-tau were lower than those in the control group, while NfL levels were higher than those in the control group. The gait (+) group NfL level was higher than that in gait (−), and there were no statistical differences in Aβ, t-tau, and p-tau levels. The gait (+) group of frontal and parietal lobe WMH volume PVH above the gait (−) group. The mediating effect model analysis showed that PVH might affect the gait disorder of iNPH patients through NfL. A 1-year follow-up of the patients after the bypass surgery found that 24 of the 35 patients in the gait (+) group had improvements, while 11 had no significant improvements. The comparison of CSF marker levels between the two groups showed that the CSF NfL level in the improved group was lower than that in the non-improved group. The WMH volume and PVH in the frontal–parietal lobe of the improved group were lower than those of the non-improved group.ConclusioniNPH patients have more serious frontoparietal and periventricular white matter lesions, and WMH volume in the frontoparietal may mediate the occurrence of gait disorder in iNPH patients through the increase of NfL level.
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Affiliation(s)
- Lu Yang
- Department of Neurology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Fuxia Yang
- Department of Neurology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Yao Deng
- Department of Neurosurgery, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Aijuan Yan
- Department of Neurology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
- *Correspondence: Xuhao Fang
| | - Wenshi Wei
- Department of Neurology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
- *Correspondence: Xuhao Fang
| | - Xuhao Fang
- Department of Neurosurgery, Huadong Hospital Affiliated to Fudan University, Shanghai, China
- *Correspondence: Xuhao Fang
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Rajan KB, McAninch EA, Aggarwal NT, Barnes LL, Wilson RS, Weuve J, DeCarli CS, Evans DA. Longitudinal Changes in Blood Biomarkers of Clinical Alzheimer Disease in a Biracial Population Sample. Neurology 2023; 100:e874-e883. [PMID: 36446595 PMCID: PMC9984218 DOI: 10.1212/wnl.0000000000201289] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 08/10/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Recent studies suggest the utility of blood biomarkers in detecting changes in neurodegenerative disorders. The objective of our research was to test the hypothesis that the longitudinal changes in total tau (t-tau), neurofilament light chain (Nf-L), and glial fibrillary acidic protein (GFAP) are associated with structural MRI and the development of clinical Alzheimer disease (AD) and cognitive decline. METHODS Data came from a population-based sample with serum concentrations of t-tau, Nf-L, and GFAP and cognitive characteristics measured over 17 years. The inclusion criteria for this investigation were based on participants with blood samples, cognitive function testing, and clinical diagnosis for AD. The longitudinal changes in the serum biomarkers were examined using linear mixed models for log10-transformed concentrations. RESULTS In 1,327 participants (60% Black participants and 60% women, the concentration of t-tau increased annually by 4.8% (95% CI = 4.0-5.6) and Nf-L by 5.9% (95% CI = 5.4-6.4). The longitudinal change in GFAP was higher among Black participants than among White participants (4.4% vs 3.5% per year, p = 0.028). Baseline MRI characteristics were associated with the longitudinal changes in serum biomarkers of clinical AD. Specifically, a higher baseline third ventricular volume was associated with a higher rate of increase in the concentration of t-tau, and white matter hyperintensities predicted a higher rate of increase in Nf-L. The rate of change in concentrations of t-tau, Nf-L, and GFAP was significantly higher among those who developed clinical AD than in those with no cognitive impairment. For each standard deviation unit decline in global cognition, longitudinal change in t-tau increased by 81% (95% CI = 76-86), Nf-L by 113% (95% CI = 105-120), and GFAP by 66% (95% CI = 62-70). DISCUSSION Blood biomarkers showed significant longitudinal changes corresponding to cognitive decline, clinical AD, and structural MRI characteristics. Our findings show that longitudinal changes in serum biomarkers were associated with several cognitive endophenotypes. CLASSIFICATION OF EVIDENCE The study found Class II evidence that longitudinal changes in serum t-tau, Nf-L, and GFAP were associated with cognitive decline and the development of clinical AD in people older than 65 years.
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Affiliation(s)
- Kumar B Rajan
- From the Rush Institute for Healthy Aging (K.R., D.E.), Rush University Medical Center, Chicago IL; Stanford University (E.A.M.), Palo Alto, CA; Rush Alzheimer's Disease Center (N.A., L.L.B., R.W.), Chicago IL; Boston University (J.W.), Boston, MA; and Department of Neurology (C.S.D.), University of California, Davis.
| | - Elizabeth A McAninch
- From the Rush Institute for Healthy Aging (K.R., D.E.), Rush University Medical Center, Chicago IL; Stanford University (E.A.M.), Palo Alto, CA; Rush Alzheimer's Disease Center (N.A., L.L.B., R.W.), Chicago IL; Boston University (J.W.), Boston, MA; and Department of Neurology (C.S.D.), University of California, Davis
| | - Neelum T Aggarwal
- From the Rush Institute for Healthy Aging (K.R., D.E.), Rush University Medical Center, Chicago IL; Stanford University (E.A.M.), Palo Alto, CA; Rush Alzheimer's Disease Center (N.A., L.L.B., R.W.), Chicago IL; Boston University (J.W.), Boston, MA; and Department of Neurology (C.S.D.), University of California, Davis
| | - Lisa L Barnes
- From the Rush Institute for Healthy Aging (K.R., D.E.), Rush University Medical Center, Chicago IL; Stanford University (E.A.M.), Palo Alto, CA; Rush Alzheimer's Disease Center (N.A., L.L.B., R.W.), Chicago IL; Boston University (J.W.), Boston, MA; and Department of Neurology (C.S.D.), University of California, Davis
| | - Robert S Wilson
- From the Rush Institute for Healthy Aging (K.R., D.E.), Rush University Medical Center, Chicago IL; Stanford University (E.A.M.), Palo Alto, CA; Rush Alzheimer's Disease Center (N.A., L.L.B., R.W.), Chicago IL; Boston University (J.W.), Boston, MA; and Department of Neurology (C.S.D.), University of California, Davis
| | - Jennifer Weuve
- From the Rush Institute for Healthy Aging (K.R., D.E.), Rush University Medical Center, Chicago IL; Stanford University (E.A.M.), Palo Alto, CA; Rush Alzheimer's Disease Center (N.A., L.L.B., R.W.), Chicago IL; Boston University (J.W.), Boston, MA; and Department of Neurology (C.S.D.), University of California, Davis
| | - Charles S DeCarli
- From the Rush Institute for Healthy Aging (K.R., D.E.), Rush University Medical Center, Chicago IL; Stanford University (E.A.M.), Palo Alto, CA; Rush Alzheimer's Disease Center (N.A., L.L.B., R.W.), Chicago IL; Boston University (J.W.), Boston, MA; and Department of Neurology (C.S.D.), University of California, Davis
| | - Denis A Evans
- From the Rush Institute for Healthy Aging (K.R., D.E.), Rush University Medical Center, Chicago IL; Stanford University (E.A.M.), Palo Alto, CA; Rush Alzheimer's Disease Center (N.A., L.L.B., R.W.), Chicago IL; Boston University (J.W.), Boston, MA; and Department of Neurology (C.S.D.), University of California, Davis
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8
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Abu-Rumeileh S, Abdelhak A, Foschi M, D'Anna L, Russo M, Steinacker P, Kuhle J, Tumani H, Blennow K, Otto M. The multifaceted role of neurofilament light chain protein in non-primary neurological diseases. Brain 2023; 146:421-437. [PMID: 36083979 PMCID: PMC9494370 DOI: 10.1093/brain/awac328] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 09/02/2022] [Accepted: 09/02/2022] [Indexed: 11/17/2022] Open
Abstract
The advancing validation and exploitation of CSF and blood neurofilament light chain protein as a biomarker of neuroaxonal damage has deeply changed the current diagnostic and prognostic approach to neurological diseases. Further, recent studies have provided evidence of potential new applications of this biomarker also in non-primary neurological diseases. In the present review we summarize the state of the art, future perspectives, but also limitations, of neurofilament light chain protein as a CSF and blood biomarker in several medical fields, including intensive care medicine, surgery, internal medicine and psychiatry. In particular, neurofilament light chain protein is associated with the degree of neurological impairment and outcome in patients admitted to intensive care units or in the perioperative phase and it seems to be highly interconnected with cardiovascular risk factors. Beyond that, interesting diagnostic and prognostic insights have been provided by the investigation of neurofilament light chain protein in psychiatric disorders as well as in the current coronavirus disease-19 pandemic and in normal ageing. Altogether, current data outline a multifaceted applicability of CSF and blood neurofilament light chain protein ranging from the critical clinical setting to the development of precision medicine models suggesting a strict interplay between the nervous system pathophysiology and the health-illness continuum.
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Affiliation(s)
- Samir Abu-Rumeileh
- Department of Neurology, Martin-Luther-University of Halle-Wittenberg, Halle (Saale), Germany
| | - Ahmed Abdelhak
- Department of Neurology, University of California San Francisco (UCSF), San Francisco, USA
- Department of Neurology, Ulm University Hospital, Ulm, Germany
| | - Matteo Foschi
- Department of Neuroscience, Neurology Unit – S. Maria delle Croci Hospital of Ravenna, AUSL Romagna, Ravenna, Italy
| | - Lucio D'Anna
- Department of Stroke and Neuroscience, Charing Cross Hospital, Imperial College London, NHS Healthcare Trust, London, UK
- Department of Brain Sciences, Imperial College London, London, UK
| | - Michele Russo
- Department of Cardiology, S. Maria dei Battuti Hospital, AULSS 2 Veneto, Conegliano, Italy
| | - Petra Steinacker
- Department of Neurology, Martin-Luther-University of Halle-Wittenberg, Halle (Saale), Germany
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | | | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Markus Otto
- Department of Neurology, Martin-Luther-University of Halle-Wittenberg, Halle (Saale), Germany
- Department of Neurology, Ulm University Hospital, Ulm, Germany
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9
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Gaudreault PO, King SG, Malaker P, Alia-Klein N, Goldstein RZ. Whole-brain white matter abnormalities in human cocaine and heroin use disorders: association with craving, recency, and cumulative use. Mol Psychiatry 2023; 28:780-791. [PMID: 36369361 PMCID: PMC9911401 DOI: 10.1038/s41380-022-01833-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 10/04/2022] [Accepted: 10/10/2022] [Indexed: 11/13/2022]
Abstract
Neuroimaging studies in substance use disorder have shown widespread impairments in white matter (WM) microstructure suggesting demyelination and axonal damage. However, substantially fewer studies explored the generalized vs. the acute and/or specific drug effects on WM. Our study assessed whole-brain WM integrity in three subgroups of individuals addicted to drugs, encompassing those with cocaine (CUD) or heroin (HUD) use disorder, compared to healthy controls (CTL). Diffusion MRI was acquired in 58 CTL, 28 current cocaine users/CUD+, 32 abstinent cocaine users/CUD-, and 30 individuals with HUD (urine was positive for cocaine in CUD+ and opiates used for treatment in HUD). Tract-Based Spatial Statistics allowed voxelwise analyses of diffusion metrics [fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD)]. Permutation statistics (p-corrected < 0.05) were used for between-group t-tests. Compared to CTL, all individuals with addiction showed widespread decreases in FA, and increases in MD, RD, and AD (19-57% of WM skeleton, p < 0.05). The HUD group showed the most impairments, followed by the CUD+, with only minor FA reductions in CUD- (<0.2% of WM skeleton, p = 0.05). Longer periods of regular use were associated with decreased FA and AD, and higher subjective craving was associated with increased MD, RD, and AD, across all individuals with drug addiction (p < 0.05). These findings demonstrate extensive WM impairments in individuals with drug addiction characterized by decreased anisotropy and increased diffusivity, thought to reflect demyelination and lower axonal packing. Extensive abnormalities in both groups with positive urine status (CUD+ and HUD), and correlations with craving, suggest greater WM impairments with more recent use. Results in CUD-, and correlations with regular use, further imply cumulative and/or persistent WM damage.
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Affiliation(s)
- Pierre-Olivier Gaudreault
- Psychiatry and Neuroscience Departments, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Sarah G King
- Psychiatry and Neuroscience Departments, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Pias Malaker
- Psychiatry and Neuroscience Departments, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Nelly Alia-Klein
- Psychiatry and Neuroscience Departments, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Rita Z Goldstein
- Psychiatry and Neuroscience Departments, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
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10
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Asken BM, VandeVrede L, Rojas JC, Fonseca C, Staffaroni AM, Elahi FM, Lindbergh CA, Apple AC, You M, Weiner-Light S, Brathaban N, Fernandes N, Boxer AL, Miller BL, Rosen HJ, Kramer JH, Casaletto KB. Lower White Matter Volume and Worse Executive Functioning Reflected in Higher Levels of Plasma GFAP among Older Adults with and Without Cognitive Impairment. J Int Neuropsychol Soc 2022; 28:588-99. [PMID: 34158138 DOI: 10.1017/S1355617721000813] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE There are minimal data directly comparing plasma neurofilament light (NfL) and glial fibrillary acidic protein (GFAP) in aging and neurodegenerative disease research. We evaluated associations of plasma NfL and plasma GFAP with brain volume and cognition in two independent cohorts of older adults diagnosed as clinically normal (CN), mild cognitive impairment (MCI), or Alzheimer's dementia. METHODS We studied 121 total participants (Cohort 1: n = 50, age 71.6 ± 6.9 years, 78% CN, 22% MCI; Cohort 2: n = 71, age 72.2 ± 9.2 years, 45% CN, 25% MCI, 30% dementia). Gray and white matter volumes were obtained for total brain and broad subregions of interest (ROIs). Neuropsychological testing evaluated memory, executive functioning, language, and visuospatial abilities. Plasma samples were analyzed in duplicate for NfL and GFAP using single molecule array assays (Quanterix Simoa). Linear regression models with structural MRI and cognitive outcomes included plasma NfL and GFAP simultaneously along with relevant covariates. RESULTS Higher plasma GFAP was associated with lower white matter volume in both cohorts for temporal (Cohort 1: β = -0.33, p = .002; Cohort 2: β = -0.36, p = .03) and parietal ROIs (Cohort 1: β = -0.31, p = .01; Cohort 2: β = -0.35, p = .04). No consistent findings emerged for gray matter volumes. Higher plasma GFAP was associated with lower executive function scores (Cohort 1: β = -0.38, p = .01; Cohort 2: β = -0.36, p = .007). Plasma NfL was not associated with gray or white matter volumes, or cognition after adjusting for plasma GFAP. CONCLUSIONS Plasma GFAP may be more sensitive to white matter and cognitive changes than plasma NfL. Biomarkers reflecting astroglial pathophysiology may capture complex dynamics of aging and neurodegenerative disease.
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11
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Wang J, Wang K, Liu T, Wang L, Suo D, Xie Y, Funahashi S, Wu J, Pei G. Abnormal Dynamic Functional Networks in Subjective Cognitive Decline and Alzheimer's Disease. Front Comput Neurosci 2022; 16:885126. [PMID: 35586480 PMCID: PMC9108158 DOI: 10.3389/fncom.2022.885126] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 03/31/2022] [Indexed: 11/13/2022] Open
Abstract
Subjective cognitive decline (SCD) is considered to be the preclinical stage of Alzheimer's disease (AD) and has the potential for the early diagnosis and intervention of AD. It was implicated that CSF-tau, which increases very early in the disease process in AD, has a high sensitivity and specificity to differentiate AD from normal aging, and the highly connected brain regions behaved more tau burden in patients with AD. Thus, a highly connected state measured by dynamic functional connectivity may serve as the early changes of AD. In this study, forty-five normal controls (NC), thirty-six individuals with SCD, and thirty-five patients with AD were enrolled to obtain the resting-state functional magnetic resonance imaging scanning. Sliding windows, Pearson correlation, and clustering analysis were combined to investigate the different levels of information transformation states. Three states, namely, the low state, the middle state, and the high state, were characterized based on the strength of functional connectivity between each pair of brain regions. For the global dynamic functional connectivity analysis, statistically significant differences were found among groups in the three states, and the functional connectivity in the middle state was positively correlated with cognitive scales. Furthermore, the whole brain was parcellated into four networks, namely, default mode network (DMN), cognitive control network (CCN), sensorimotor network (SMN), and occipital-cerebellum network (OCN). For the local network analysis, statistically significant differences in CCN for low state and SMN for middle state and high state were found in normal controls and patients with AD. Meanwhile, the differences were also found in normal controls and individuals with SCD. In addition, the functional connectivity in SMN for high state was positively correlated with cognitive scales. Converging results showed the changes in dynamic functional states in individuals with SCD and patients with AD. In addition, the changes were mainly in the high strength of the functional connectivity state.
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Affiliation(s)
- Jue Wang
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Kexin Wang
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Tiantian Liu
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Li Wang
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Dingjie Suo
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Yunyan Xie
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Shintaro Funahashi
- Kokoro Research Center, Kyoto University, Kyoto, Japan
- Laboratory of Cognitive Brain Science, Department of Cognitive and Behavioral Sciences, Graduate School of Human and Environmental Studies, Kyoto University, Kyoto, Japan
| | - Jinglong Wu
- Research Center for Medical Artificial Intelligence, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, China
- *Correspondence: Jinglong Wu
| | - Guangying Pei
- School of Life Science, Beijing Institute of Technology, Beijing, China
- Guangying Pei
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12
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Marutani N, Akamine S, Kanayama D, Gotoh S, Yanagida K, Maruyama R, Mori K, Miyamoto T, Adachi H, Sakagami Y, Yoshiyama K, Hotta M, Nagase A, Kozawa J, Maeda N, Otsuki M, Matsuoka T, Iwahashi H, Shimomura I, Murayama N, Watanabe H, Ikeda M, Mizuta I, Kudo T. Plasma NfL is associated with mild cognitive decline in patients with diabetes. Psychogeriatrics 2022; 22:353-359. [PMID: 35279914 DOI: 10.1111/psyg.12819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 01/27/2022] [Accepted: 02/01/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Patients with diabetes are at a higher risk for cognitive decline. Thus, biomarkers that can provide early and simple detection of cognitive decline are required. Neurofilament light chain (NfL) is a cytoskeletal protein that constitutes neural axons. Plasma NfL levels are elevated when neurodegeneration occurs. Here, we investigated whether plasma NfL levels were associated with cognitive decline in patients with type 2 diabetes. METHOD This study included 183 patients with type 2 diabetes who visited Osaka University Hospital. All participants were tested for cognitive function using the Mini-Mental State Examination (MMSE) and the Rivermead Behavioural Memory Test (RBMT). NfL levels were analysed in the plasma and the relationship between NfL and cognitive function was examined. RESULTS Lower RBMT-standardized profile scores (SPS) or MMSE scores correlated with higher plasma NfL levels (one-way analysis of variance: MMSE, P = 0.0237; RBMT-SPS, P = 0.0001). Furthermore, plasma NfL levels (β = -0.34, P = 0.0005) and age (β = -0.19, P = 0.016) were significantly associated with the RBMT score after multivariable regression adjustment. CONCLUSIONS Plasma NfL levels were correlated with mild cognitive decline which is detected by the RBMT but not the MMSE in patients with type 2 diabetes. This suggests that plasma NfL levels may provide a valuable clinical tool for identifying mild cognitive decline in patients with diabetes.
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Affiliation(s)
- Noriko Marutani
- Health and Counseling Center, Osaka University, Osaka, Japan
| | - Shoshin Akamine
- Health and Counseling Center, Osaka University, Osaka, Japan
| | - Daisuke Kanayama
- Health and Counseling Center, Osaka University, Osaka, Japan.,Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Shiho Gotoh
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Kanta Yanagida
- Health and Counseling Center, Osaka University, Osaka, Japan
| | | | - Kohji Mori
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Tesshin Miyamoto
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Hiroyoshi Adachi
- Health and Counseling Center, Osaka University, Osaka, Japan.,Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Yukako Sakagami
- Health and Counseling Center, Osaka University, Osaka, Japan.,Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Kenji Yoshiyama
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Maki Hotta
- Department of Behavioral Neurology and Neuropsychiatry, United Graduate School of Child Development, Osaka University, Osaka, Japan
| | - Aki Nagase
- Department of Behavioral Neurology and Neuropsychiatry, United Graduate School of Child Development, Osaka University, Osaka, Japan
| | - Junji Kozawa
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.,Department of Diabetes Care Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Norikazu Maeda
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.,Department of Metabolism and Atherosclerosis, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Michio Otsuki
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Takaaki Matsuoka
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Hiromi Iwahashi
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.,Department of Diabetes Care Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.,Department of Internal Medicine, Toyonaka Municipal Hospital, Osaka, Japan
| | - Iichiro Shimomura
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Norihito Murayama
- Research Institute, Suntory Global Innovation Center Limited, Suntory World Research Center, Tokyo, Japan
| | - Hiroshi Watanabe
- Research Institute, Suntory Global Innovation Center Limited, Suntory World Research Center, Tokyo, Japan
| | - Manabu Ikeda
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Ichiro Mizuta
- Health and Counseling Center, Osaka University, Osaka, Japan.,Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Takashi Kudo
- Health and Counseling Center, Osaka University, Osaka, Japan.,Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
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13
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Moore EE, Khan OA, Shashikumar N, Pechman KR, Liu D, Bell SP, Nair S, Terry JG, Gifford KA, Anderson AW, Landman BA, Blennow K, Zetterberg H, Hohman TJ, Carr JJ, Jefferson AL. Axonal Injury Partially Mediates Associations Between Increased Left Ventricular Mass Index and White Matter Damage. Stroke 2022; 53:808-816. [PMID: 34702069 PMCID: PMC8885768 DOI: 10.1161/strokeaha.121.034349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND PURPOSE Left ventricular (LV) mass index is a marker of subclinical LV remodeling that relates to white matter damage in aging, but molecular pathways underlying this association are unknown. This study assessed if LV mass index related to cerebrospinal fluid (CSF) biomarkers of microglial activation (sTREM2 [soluble triggering receptor expressed on myeloid cells 2]), axonal injury (NFL [neurofilament light]), neurodegeneration (total-tau), and amyloid-β, and whether these biomarkers partially accounted for associations between increased LV mass index and white matter damage. We hypothesized higher LV mass index would relate to greater CSF biomarker levels, and these pathologies would partially mediate associations with cerebral white matter microstructure. METHODS Vanderbilt Memory and Aging Project participants who underwent cardiac magnetic resonance, lumbar puncture, and diffusion tensor imaging (n=142, 72±6 years, 37% mild cognitive impairment [MCI], 32% APOE-ε4 positive, LV mass index 51.4±8.1 g/m2, NFL 1070±588 pg/mL) were included. Linear regressions and voxel-wise analyses related LV mass index to each biomarker and diffusion tensor imaging metrics, respectively. Follow-up models assessed interactions with MCI and APOE-ε4. In models where LV mass index significantly related to a biomarker and white matter microstructure, we assessed if the biomarker mediated white matter associations. RESULTS Among all participants, LV mass index was unrelated to CSF biomarkers (P>0.33). LV mass index interacted with MCI (P=0.01), such that higher LV mass index related to increased NFL among MCI participants. Associations were also present among APOE-ε4 carriers (P=0.02). NFL partially mediated up to 13% of the effect of increased LV mass index on white matter damage. CONCLUSIONS Subclinical cardiovascular remodeling, measured as an increase in LV mass index, is associated with neuroaxonal degeneration among individuals with MCI and APOE-ε4. Neuroaxonal degeneration partially reflects associations between higher LV mass index and white matter damage. Findings highlight neuroaxonal degeneration, rather than amyloidosis or microglia, may be more relevant in pathways between structural cardiovascular remodeling and white matter damage.
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Affiliation(s)
- Elizabeth E. Moore
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Omair A. Khan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Niranjana Shashikumar
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA,Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kimberly R. Pechman
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA,Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Dandan Liu
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA,Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Susan P. Bell
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sangeeta Nair
- Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - James G. Terry
- Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Katherine A. Gifford
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA,Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Adam W. Anderson
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Bennett A. Landman
- Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA,Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA,Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden,Clinical Neurochemistry Lab, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden,Clinical Neurochemistry Lab, Sahlgrenska University Hospital, Mölndal, Sweden,Department of Neurodegenerative Disease, University of College London Institute of Neurology, Queen Square, London, UK,United Kingdom Dementia Research Institute at University College London, London, UK
| | - Timothy J. Hohman
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA,Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA,Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - John Jeffrey Carr
- Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Angela L. Jefferson
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA,Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA,Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
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14
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Nabizadeh F, Balabandian M, Rostami MR, Kankam SB, Ranjbaran F, Pourhamzeh M; Alzheimer’s Disease Neuroimaging Initiative (ADNI). Plasma neurofilament light levels correlate with white matter damage prior to Alzheimer's disease: results from ADNI. Aging Clin Exp Res 2022. [PMID: 35226303 DOI: 10.1007/s40520-022-02095-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 02/10/2022] [Indexed: 11/01/2022]
Abstract
BACKGROUND The blood biomarker neurofilament light (NFL) is one of the most widely used for monitoring Alzheimer's disease (AD). According to recent research, a higher NFL plasma level has a substantial predictive value for cognitive deterioration in AD patients. Diffusion tensor imaging (DTI) is an MRI-based approach for detecting neurodegeneration, white matter (WM) disruption, and synaptic damage. There have been few studies on the relationship between plasma NFL and WM microstructure integrity. AIMS The goal of the current study is to assess the associations between plasma levels of NFL, CSF total tau, phosphorylated tau181 (P-tau181), and amyloid-β (Aβ) with WM microstructural alterations. METHODS We herein have investigated the cross-sectional association between plasma levels of NFL and WM microstructural alterations as evaluated by DTI in 92 patients with mild cognitive impairment (MCI) provided by Alzheimer's Disease Neuroimaging Initiative (ADNI) participants. We analyzed the potential association between plasma NFL levels and radial diffusivity (RD), axial diffusivity (AxD), mean diffusivity (MD), and fractional anisotropy (FA) in each region of the Montreal Neurological Institute and Hospital (MNI) atlas, using simple linear regression models stratified by age, sex, and APOE ε4 genotype. RESULTS Our findings demonstrated a significant association between plasma NFL levels and disrupted WM microstructure across the brain. In distinct areas, plasma NFL has a negative association with FA in the fornix, fronto-occipital fasciculus, corpus callosum, uncinate fasciculus, internal capsule, and corona radiata and a positive association with RD, AxD, and MD values in sagittal stratum, corpus callosum, fronto-occipital fasciculus, corona radiata, internal capsule, thalamic radiation, hippocampal cingulum, fornix, and cingulum. Lower FA and higher RD, AxD, and MD values are related to demyelination and degeneration in WM. CONCLUSION Our findings revealed that the level of NFL in the blood is linked to WM alterations in MCI patients. Plasma NFL has the potential to be a biomarker for microstructural alterations. However, further longitudinal studies are necessary to validate the predictive role of plasma NFL in cognitive decline.
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15
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O'Bryant S, Petersen M, Hall J, Johnson L, Yaffe K, Braskie M, Toga AW, Rissman RA. Characterizing plasma NfL in a community-dwelling multi-ethnic cohort: Results from the HABLE study. Alzheimers Dement 2022; 18:240-250. [PMID: 34310015 PMCID: PMC9228481 DOI: 10.1002/alz.12404] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 04/29/2021] [Accepted: 05/02/2021] [Indexed: 01/27/2023]
Abstract
INTRODUCTION No large-scale characterizations of neurofilament light chain (NfL) have been conducted in diverse populations. METHODS Baseline data were analyzed among n = 890 Mexican Americans and n = 813 non-Hispanic Whites from the multi-ethnic Health & Aging Brain among Latino Elders (HABLE) study. Plasma NfL was measured on the Simoa platform. RESULTS In unadjusted models, NfL was significantly associated with age (P < .001), hypertension (P < .001), dyslipidemia (P = .02), and diabetes (P < .001). Covarying for age and sex, NfL was associated with neurodegeneration (P < .001) and global amyloid burden levels (P = .02) in a subset with available data. NfL levels were significantly associated with diagnostic groups (Normal Cognition [NC], mild cognitive impairment [MCI], Dementia; P < .001); however, there was no cut-score that yielded acceptable diagnostic accuracy. NfL levels produced a sensitivity of 0.60 and specificity of 0.78 with negative predictive value of 89% for detecting amyloid positivity. DISCUSSION Plasma NfL levels are significantly impacted by age and medical co-morbidities that are common among older adults, which complicate its utility as a diagnostic biomarker.
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Affiliation(s)
- Sid O'Bryant
- Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Melissa Petersen
- Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Department of Family MedicineUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - James Hall
- Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Department of Pharmacology and NeuroscienceUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Leigh Johnson
- Institute for Translational ResearchUniversity of North Texas Health Science CenterFort WorthTexasUSA
- Department of Pharmacology and NeuroscienceUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Kristine Yaffe
- Department of PsychiatryNeurology, and Epidemiology and BiostatisticsUniversity of CaliforniaSan FranciscoCaliforniaUSA
- San Francisco VA Medical CenterSan FranciscoCaliforniaUSA
| | - Meredith Braskie
- Imaging Genetics CenterStevens Neuroimaging and Informatics InstituteKeck School of MedicineUSCLos AngelesCaliforniaUSA
| | - Arthur W. Toga
- Laboratory of Neuro ImagingUSC Stevens Neuroimaging and Informatics InstituteKeck School of Medicine of USCUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Robert A. Rissman
- Department of NeurosciencesUniversity of CaliforniaSan DiegoLa JollaCaliforniaUSA
- Veterans Affairs San Diego Healthcare SystemSan DiegoCaliforniaUSA
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16
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Welton T, Tan YJ, Saffari SE, Ng SYE, Chia NSY, Yong ACW, Choi X, Heng DL, Shih YC, Hartono S, Lee W, Xu Z, Tay KY, Au WL, Tan EK, Chan LL, Ng ASL, Tan LCS. Plasma Neurofilament Light Concentration Is Associated with Diffusion-Tensor MRI-Based Measures of Neurodegeneration in Early Parkinson's Disease. J Parkinsons Dis 2022; 12:2135-2146. [PMID: 36057833 DOI: 10.3233/jpd-223414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
BACKGROUND Neurofilament light is a marker of axonal degeneration, whose measurement from peripheral blood was recently made possible by new assays. OBJECTIVE We aimed to determine whether plasma neurofilament light chain (NfL) concentration reflects brain white matter integrity in patients with early Parkinson's disease (PD). METHODS 137 early PD patients and 51 healthy controls were included. Plasma NfL levels were measured using ultrasensitive single molecule array. 3T MRI including diffusion tensor imaging was acquired for voxelwise analysis of association between NfL and both fractional anisotropy (FA) and mean diffusivity (MD) in white matter tracts and subcortical nuclei. RESULTS A pattern of brain microstructural changes consistent with neurodegeneration was associated with increased plasma NfL in most of the frontal lobe and right internal capsule, with decreased FA and increased MD. The same clusters were also associated with poorer global cognition. A significant cluster in the left putamen was associated with increased NfL, with a significantly greater effect in PD than controls. CONCLUSION Plasma NfL may be associated with brain microstructure, as measured using diffusion tensor imaging, in patients with early PD. Higher plasma NfL was associated with a frontal pattern of neurodegeneration that also correlates with cognitive performance in our cohort. This may support a future role for plasma NfL as an accessible biomarker for neurodegeneration and cognitive dysfunction in PD.
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Affiliation(s)
- Thomas Welton
- Department of Neurology, National Neuroscience Institute, Tan Tock Seng Hospital, Singapore
- Neuroscience Academic Clinical Program, Duke-NUS Medical School, Singapore
- Parkinson Disease and Movement Disorders Centre, Parkinson Foundation Center of Excellence, National Neuroscience Institute, Singapore, Tan Tock Seng Hospital, Singapore
| | - Yi Jayne Tan
- Department of Neurology, National Neuroscience Institute, Tan Tock Seng Hospital, Singapore
- Parkinson Disease and Movement Disorders Centre, Parkinson Foundation Center of Excellence, National Neuroscience Institute, Singapore, Tan Tock Seng Hospital, Singapore
| | - Seyed Ehsan Saffari
- Department of Neurology, National Neuroscience Institute, Tan Tock Seng Hospital, Singapore
- Parkinson Disease and Movement Disorders Centre, Parkinson Foundation Center of Excellence, National Neuroscience Institute, Singapore, Tan Tock Seng Hospital, Singapore
- Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore
| | - Samuel Y E Ng
- Department of Neurology, National Neuroscience Institute, Tan Tock Seng Hospital, Singapore
- Parkinson Disease and Movement Disorders Centre, Parkinson Foundation Center of Excellence, National Neuroscience Institute, Singapore, Tan Tock Seng Hospital, Singapore
| | - Nicole S Y Chia
- Department of Neurology, National Neuroscience Institute, Tan Tock Seng Hospital, Singapore
- Parkinson Disease and Movement Disorders Centre, Parkinson Foundation Center of Excellence, National Neuroscience Institute, Singapore, Tan Tock Seng Hospital, Singapore
| | - Alisa C W Yong
- Department of Neurology, National Neuroscience Institute, Tan Tock Seng Hospital, Singapore
- Parkinson Disease and Movement Disorders Centre, Parkinson Foundation Center of Excellence, National Neuroscience Institute, Singapore, Tan Tock Seng Hospital, Singapore
| | - Xinyi Choi
- Parkinson Disease and Movement Disorders Centre, Parkinson Foundation Center of Excellence, National Neuroscience Institute, Singapore, Tan Tock Seng Hospital, Singapore
- Department of Neurology, National Neuroscience Institute, Singapore General Hospital, Singapore
| | - Dede Liana Heng
- Parkinson Disease and Movement Disorders Centre, Parkinson Foundation Center of Excellence, National Neuroscience Institute, Singapore, Tan Tock Seng Hospital, Singapore
- Department of Neurology, National Neuroscience Institute, Singapore General Hospital, Singapore
| | - Yao-Chia Shih
- Radiological Sciences Academic Clinical Program, Duke-NUS Medical School, Singapore
- Graduate Institute of Medicine, Yuan Ze University, Taoyuan City, Taiwan
| | - Septian Hartono
- Neuroscience Academic Clinical Program, Duke-NUS Medical School, Singapore
- Parkinson Disease and Movement Disorders Centre, Parkinson Foundation Center of Excellence, National Neuroscience Institute, Singapore, Tan Tock Seng Hospital, Singapore
- Department of Neurology, National Neuroscience Institute, Singapore General Hospital, Singapore
| | - Weiling Lee
- Department of Diagnostic Radiology, Singapore General Hospital, Singapore
| | - Zheyu Xu
- Department of Neurology, National Neuroscience Institute, Tan Tock Seng Hospital, Singapore
- Parkinson Disease and Movement Disorders Centre, Parkinson Foundation Center of Excellence, National Neuroscience Institute, Singapore, Tan Tock Seng Hospital, Singapore
| | - Kay Yaw Tay
- Department of Neurology, National Neuroscience Institute, Tan Tock Seng Hospital, Singapore
- Parkinson Disease and Movement Disorders Centre, Parkinson Foundation Center of Excellence, National Neuroscience Institute, Singapore, Tan Tock Seng Hospital, Singapore
| | - Wing Lok Au
- Department of Neurology, National Neuroscience Institute, Tan Tock Seng Hospital, Singapore
- Parkinson Disease and Movement Disorders Centre, Parkinson Foundation Center of Excellence, National Neuroscience Institute, Singapore, Tan Tock Seng Hospital, Singapore
| | - Eng-King Tan
- Department of Neurology, National Neuroscience Institute, Tan Tock Seng Hospital, Singapore
- Parkinson Disease and Movement Disorders Centre, Parkinson Foundation Center of Excellence, National Neuroscience Institute, Singapore, Tan Tock Seng Hospital, Singapore
- Department of Neurology, National Neuroscience Institute, Singapore General Hospital, Singapore
| | - Ling Ling Chan
- Parkinson Disease and Movement Disorders Centre, Parkinson Foundation Center of Excellence, National Neuroscience Institute, Singapore, Tan Tock Seng Hospital, Singapore
- Radiological Sciences Academic Clinical Program, Duke-NUS Medical School, Singapore
- Department of Diagnostic Radiology, Singapore General Hospital, Singapore
- Neuroscience and Behavioural Disorders Program, Duke-NUS Medical School, Singapore
| | - Adeline S L Ng
- Department of Neurology, National Neuroscience Institute, Tan Tock Seng Hospital, Singapore
- Parkinson Disease and Movement Disorders Centre, Parkinson Foundation Center of Excellence, National Neuroscience Institute, Singapore, Tan Tock Seng Hospital, Singapore
- Neuroscience and Behavioural Disorders Program, Duke-NUS Medical School, Singapore
| | - Louis C S Tan
- Department of Neurology, National Neuroscience Institute, Tan Tock Seng Hospital, Singapore
- Parkinson Disease and Movement Disorders Centre, Parkinson Foundation Center of Excellence, National Neuroscience Institute, Singapore, Tan Tock Seng Hospital, Singapore
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17
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Ottino-González J, Uhlmann A, Hahn S, Cao Z, Cupertino RB, Schwab N, Allgaier N, Alia-Klein N, Ekhtiari H, Fouche JP, Goldstein RZ, Li CSR, Lochner C, London ED, Luijten M, Masjoodi S, Momenan R, Oghabian MA, Roos A, Stein DJ, Stein EA, Veltman DJ, Verdejo-García A, Zhang S, Zhao M, Zhong N, Jahanshad N, Thompson PM, Conrod P, Mackey S, Garavan H. White matter microstructure differences in individuals with dependence on cocaine, methamphetamine, and nicotine: Findings from the ENIGMA-Addiction working group. Drug Alcohol Depend 2022; 230:109185. [PMID: 34861493 PMCID: PMC8952409 DOI: 10.1016/j.drugalcdep.2021.109185] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 10/27/2021] [Accepted: 11/14/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND Nicotine and illicit stimulants are very addictive substances. Although associations between grey matter and dependence on stimulants have been frequently reported, white matter correlates have received less attention. METHODS Eleven international sites ascribed to the ENIGMA-Addiction consortium contributed data from individuals with dependence on cocaine (n = 147), methamphetamine (n = 132) and nicotine (n = 189), as well as non-dependent controls (n = 333). We compared the fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD) and mean diffusivity (MD) of 20 bilateral tracts. Also, we compared the performance of various machine learning algorithms in deriving brain-based classifications on stimulant dependence. RESULTS The cocaine and methamphetamine groups had lower regional FA and higher RD in several association, commissural, and projection white matter tracts. The methamphetamine dependent group additionally showed lower regional AD. The nicotine group had lower FA and higher RD limited to the anterior limb of the internal capsule. The best performing machine learning algorithm was the support vector machine (SVM). The SVM successfully classified individuals with dependence on cocaine (AUC = 0.70, p < 0.001) and methamphetamine (AUC = 0.71, p < 0.001) relative to non-dependent controls. Classifications related to nicotine dependence proved modest (AUC = 0.62, p = 0.014). CONCLUSIONS Stimulant dependence was related to FA disturbances within tracts consistent with a role in addiction. The multivariate pattern of white matter differences proved sufficient to identify individuals with stimulant dependence, particularly for cocaine and methamphetamine.
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Affiliation(s)
- Jonatan Ottino-González
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont, United States.
| | - Anne Uhlmann
- Department of Child & Adolescent Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Sage Hahn
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont, United States
| | - Zhipeng Cao
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont, United States
| | - Renata B. Cupertino
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont, United States
| | - Nathan Schwab
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont, United States
| | - Nicholas Allgaier
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont, United States
| | - Nelly Alia-Klein
- Department of Psychiatry & Neuroscience, Icahn School of Medicine at Mount Sinai, New York City, New York, United States
| | - Hamed Ekhtiari
- Institute for Cognitive Sciences Studies, University of Tehran, Tehran, Iran,Iranian National Center for Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran
| | - Jean-Paul Fouche
- SA MRC Genomics and Brain Disorders Unit, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - Rita Z. Goldstein
- Department of Psychiatry & Neuroscience, Icahn School of Medicine at Mount Sinai, New York City, New York, United States
| | - Chiang-Shan R. Li
- Department of Psychiatry, Yale University, New Haven, Connecticut, United States
| | - Christine Lochner
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - Edythe D. London
- Department of Psychiatry and Biobehavioural Sciences, University of California, Los Angeles, California, United States
| | - Maartje Luijten
- Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands
| | - Sadegh Masjoodi
- Shiraz Neuroscience Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Reza Momenan
- Clinical Neuroimaging Research Core, National Institutes on Alcohol Abuse & Alcoholism, National Institutes of Health, Bethesda, Maryland, United States
| | - Mohammad Ali Oghabian
- Neuroimaging & Analysis Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
| | - Annerine Roos
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa,SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Dan J. Stein
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Elliot A. Stein
- Neuroimaging Research Branch, Intramural Research Program, National Institute of Drug Abuse, Baltimore, Maryland, United States
| | - Dick J. Veltman
- Department of Psychiatry, Amsterdam UMC – location VUMC, Amsterdam, the Netherlands
| | - Antonio Verdejo-García
- School of Psychological Sciences & Turner Institute for Brain & Mental Health, Monash University, Melbourne, Australia
| | - Sheng Zhang
- Department of Psychiatry, Yale University, New Haven, Connecticut, United States
| | - Min Zhao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Na Zhong
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Neda Jahanshad
- Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, San Diego, California, United States
| | - Paul M. Thompson
- Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, San Diego, California, United States
| | - Patricia Conrod
- Department of Psychiatry, Université de Montreal, Montreal, Quebec, Canada
| | - Scott Mackey
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont, United States
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont, United States
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18
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Yuan A, Nixon RA. Neurofilament Proteins as Biomarkers to Monitor Neurological Diseases and the Efficacy of Therapies. Front Neurosci 2021; 15:689938. [PMID: 34646114 PMCID: PMC8503617 DOI: 10.3389/fnins.2021.689938] [Citation(s) in RCA: 86] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 09/02/2021] [Indexed: 01/01/2023] Open
Abstract
Biomarkers of neurodegeneration and neuronal injury have the potential to improve diagnostic accuracy, disease monitoring, prognosis, and measure treatment efficacy. Neurofilament proteins (NfPs) are well suited as biomarkers in these contexts because they are major neuron-specific components that maintain structural integrity and are sensitive to neurodegeneration and neuronal injury across a wide range of neurologic diseases. Low levels of NfPs are constantly released from neurons into the extracellular space and ultimately reach the cerebrospinal fluid (CSF) and blood under physiological conditions throughout normal brain development, maturation, and aging. NfP levels in CSF and blood rise above normal in response to neuronal injury and neurodegeneration independently of cause. NfPs in CSF measured by lumbar puncture are about 40-fold more concentrated than in blood in healthy individuals. New ultra-sensitive methods now allow minimally invasive measurement of these low levels of NfPs in serum or plasma to track disease onset and progression in neurological disorders or nervous system injury and assess responses to therapeutic interventions. Any of the five Nf subunits - neurofilament light chain (NfL), neurofilament medium chain (NfM), neurofilament heavy chain (NfH), alpha-internexin (INA) and peripherin (PRPH) may be altered in a given neuropathological condition. In familial and sporadic Alzheimer's disease (AD), plasma NfL levels may rise as early as 22 years before clinical onset in familial AD and 10 years before sporadic AD. The major determinants of elevated levels of NfPs and degradation fragments in CSF and blood are the magnitude of damaged or degenerating axons of fiber tracks, the affected axon caliber sizes and the rate of release of NfP and fragments at different stages of a given neurological disease or condition directly or indirectly affecting central nervous system (CNS) and/or peripheral nervous system (PNS). NfPs are rapidly emerging as transformative blood biomarkers in neurology providing novel insights into a wide range of neurological diseases and advancing clinical trials. Here we summarize the current understanding of intracellular NfP physiology, pathophysiology and extracellular kinetics of NfPs in biofluids and review the value and limitations of NfPs and degradation fragments as biomarkers of neurodegeneration and neuronal injury.
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Affiliation(s)
- Aidong Yuan
- Center for Dementia Research, Nathan Kline Institute, Orangeburg, NY, United States
- Department of Psychiatry, NYU Neuroscience Institute, New York, NY, United States
| | - Ralph A. Nixon
- Center for Dementia Research, Nathan Kline Institute, Orangeburg, NY, United States
- Department of Psychiatry, NYU Neuroscience Institute, New York, NY, United States
- Department of Cell Biology, New York University Grossman School of Medicine, (NYU), Neuroscience Institute, New York, NY, United States
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19
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Peng Q, Zhang Z. The fluid biomarkers of Alzheimer’s disease. Brain Science Advances 2021. [DOI: 10.26599/bsa.2021.9050001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Alzheimer’s disease (AD) is the most common neurodegenerative disorder. However, it still has no available disease‐modifying therapies. Its pathology cascade begins decades before symptomatic presentation. For these reasons, highly sensitive and highly specific fluid biomarkers should be developed for the early diagnosis of AD. In this study, the well‐established and emerging fluid biomarkers of AD are summarized, and recent advances on their role in early diagnosis and progression monitoring as well as their correlations with AD pathology are highlighted. Future prospects and related research directions are also discussed.
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Affiliation(s)
- Qinyu Peng
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Zhentao Zhang
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan 430060, China
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20
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Simrén J, Leuzy A, Karikari TK, Hye A, Benedet AL, Lantero‐Rodriguez J, Mattsson‐Carlgren N, Schöll M, Mecocci P, Vellas B, Tsolaki M, Kloszewska I, Soininen H, Lovestone S, Aarsland D, Hansson O, Rosa‐Neto P, Westman E, Blennow K, Zetterberg H, Ashton NJ. The diagnostic and prognostic capabilities of plasma biomarkers in Alzheimer's disease. Alzheimers Dement 2021; 17:1145-1156. [PMID: 33491853 PMCID: PMC8359457 DOI: 10.1002/alz.12283] [Citation(s) in RCA: 161] [Impact Index Per Article: 53.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 11/28/2020] [Accepted: 12/02/2020] [Indexed: 12/13/2022]
Abstract
INTRODUCTION This study investigated the diagnostic and disease-monitoring potential of plasma biomarkers in mild cognitive impairment (MCI) and Alzheimer's disease (AD) dementia and cognitively unimpaired (CU) individuals. METHODS Plasma was analyzed using Simoa assays from 99 CU, 107 MCI, and 103 AD dementia participants. RESULTS Phosphorylated-tau181 (P-tau181), neurofilament light, amyloid-β (Aβ42/40), Total-tau and Glial fibrillary acidic protein were altered in AD dementia but P-tau181 significantly outperformed all biomarkers in differentiating AD dementia from CU (area under the curve [AUC] = 0.91). P-tau181 was increased in MCI converters compared to non-converters. Higher P-tau181 was associated with steeper cognitive decline and gray matter loss in temporal regions. Longitudinal change of P-tau181 was strongly associated with gray matter loss in the full sample and with Aβ measures in CU individuals. DISCUSSION P-tau181 detected AD at MCI and dementia stages and was strongly associated with cognitive decline and gray matter loss. These findings highlight the potential value of plasma P-tau181 as a non-invasive and cost-effective diagnostic and prognostic biomarker in AD.
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Affiliation(s)
- Joel Simrén
- Department of Psychiatry and NeurochemistryThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalGothenburgSweden
| | - Antoine Leuzy
- Clinical Memory Research UnitLund UniversityMalmöSweden
| | - Thomas K. Karikari
- Department of Psychiatry and NeurochemistryThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
| | - Abdul Hye
- Department of Old Age PsychiatryInstitute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUK
| | | | - Juan Lantero‐Rodriguez
- Department of Psychiatry and NeurochemistryThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
| | - Niklas Mattsson‐Carlgren
- Clinical Memory Research UnitLund UniversityMalmöSweden
- Department of NeurologySkåne University HospitalLundSweden
- Wallenberg Centre for Molecular MedicineLund UniversityLundSweden
| | - Michael Schöll
- Department of Psychiatry and NeurochemistryThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
- Wallenberg Centre for Molecular and Translational MedicineUniversity of GothenburgGothenburgSweden
- Department of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
| | - Patrizia Mecocci
- Department of MedicineInstitute of Gerontology and GeriatricsUniversity of PerugiaPerugiaItaly
| | | | - Magda Tsolaki
- Aristotle University of ThessalonikiThessalonikiGreece
| | | | - Hilkka Soininen
- Institute of Clinical MedicineUniversity of Eastern FinlandKuopioFinland
| | | | - Dag Aarsland
- Department of Old Age PsychiatryInstitute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUK
- Centre for Age‐Related MedicineStavanger University HospitalStavangerNorway
| | | | - Oskar Hansson
- Clinical Memory Research UnitLund UniversityMalmöSweden
- Memory ClinicSkåne University HospitalMalmöSweden
| | - Pedro Rosa‐Neto
- Translational Neuroimaging LaboratoryMcGill UniversityMontréalCanada
| | - Eric Westman
- Division of Clinical GeriatricsDepartment of NeurobiologyCare Sciences and SocietyKarolinska InstituteStockholmSweden
- Department of NeuroimagingCentre for Neuroimaging SciencesPsychology and NeuroscienceKing's College LondonInstitute of PsychiatryLondonUK
| | - Kaj Blennow
- Department of Psychiatry and NeurochemistryThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalGothenburgSweden
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalGothenburgSweden
- Department of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK
- UK Dementia Research Institute at UCLLondonUK
| | - Nicholas J. Ashton
- Department of Psychiatry and NeurochemistryThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
- Department of Old Age PsychiatryInstitute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUK
- Wallenberg Centre for Molecular and Translational MedicineUniversity of GothenburgGothenburgSweden
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21
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Mielke MM, Przybelski SA, Lesnick TG, Kern S, Zetterberg H, Blennow K, Knopman DS, Graff-Radford J, Petersen RC, Jack CR, Vemuri P. Comparison of CSF neurofilament light chain, neurogranin, and tau to MRI markers. Alzheimers Dement 2021; 17:801-812. [PMID: 33663022 PMCID: PMC8119371 DOI: 10.1002/alz.12239] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 10/01/2020] [Accepted: 10/22/2020] [Indexed: 12/21/2022]
Abstract
INTRODUCTION We determined whether cerebrospinal fluid (CSF) neurofilament light (NfL), neurogranin (Ng), and total-tau (t-tau) differentially mapped to magnetic resonance imaging (MRI) measures of cortical thickness, microstructural integrity (corpus callosum and cingulum fractional anisotropy [FA]), and white matter hyperintensities (WMH). METHODS Analyses included 536 non-demented Mayo Clinic Study of Aging participants with CSF NfL, Ng, t-tau, amyloid beta (Aβ)42 and longitudinal MRI scans. Linear mixed models assessed longitudinal associations between CSF markers and MRI changes. RESULTS Higher CSF NfL was associated with decreasing microstructural integrity and WMH. Higher t-tau was associated with decreasing temporal lobe and Alzheimer's disease (AD) meta region of interest (ROI) cortical thickness. There was no association between Ng and any MRI measure. CSF Aβ42 interacted with Ng for declines in temporal lobe and AD meta ROI cortical thickness and cingulum FA. DISCUSSION CSF NfL predicts changes in white matter integrity, t-tau reflects non-specific changes in cortical thickness, and Ng reflects AD-specific synaptic and neuronal degeneration.
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Affiliation(s)
- Michelle M. Mielke
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Silke Kern
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | | | | | - Ronald C. Petersen
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
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22
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Chen J, Sun D, Shi Y, Jin W, Wang Y, Xi Q, Ren C. Altered static and dynamic voxel-mirrored homotopic connectivity in subacute stroke patients: a resting-state fMRI study. Brain Imaging Behav 2021; 15:389-400. [PMID: 32125611 DOI: 10.1007/s11682-020-00266-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Sixty-four subacute stroke patients and 55 age-matched healthy controls (HCs) underwent a resting-state functional magnetic resonance imaging scan using an echo-planar imaging sequence and high-resolution sagittal T1-weighted images using a three-dimensional magnetization-prepared rapid gradient echo sequence. Static and dynamic voxel-mirrored homotopic connectivity (VMHC) was computed, respectively. The relationships between the clinical measures, including National Institutes of Health Stroke Scale (NIHSS), illness duration, Fugl-Meyer assessment for upper and lower extremities (FMA-total) and size of lesion volume, and the static/ dynamic VMHC variability alterations in stroke patients were calculated. The stroke patients showed significantly increased static VMHC in the corpus callosum, middle occipital gyrus and inferior parietal gyrus, and decreased static VMHC in the inferior temporal gyrus and precentral gyrus (PreCG) compared with those of HCs. For dynamic VMHC variability, increased dynamic VMHC variability in the inferior temporal gyrus and PreCG was detected in stroke patients relative to that in HCs. Correlation analysis exhibited that significant negative correlations were shown between the FMA scores and dynamic VMHC variability in PreCG. The present study suggests that combined static and dynamic VMHC could be helpful to evaluate the motor function of stroke patients and understand the intrinsic differences of inter-hemispheric coordination after stroke.
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Affiliation(s)
- Jing Chen
- Department of Neurology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.,Department of Neurology, Zhongshan Hospital Affiliated to Fudan University, Xuhui District, Shanghai, China
| | - Dalong Sun
- Division of Gastroenterology, Department of Internal Medicine, Zhongshan Hospital Affiliated to Fudan University, Xuhui District, Shanghai, China
| | - Yonghui Shi
- Department of Neurology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China
| | - Wei Jin
- Department of Neurology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China
| | - Yanbin Wang
- Department of Radiology, Shanghai East Hospital, Tongji University, Shanghai, China
| | - Qian Xi
- Department of Radiology, Shanghai East Hospital, Tongji University, Shanghai, China.
| | - Chuancheng Ren
- Department of Neurology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China. .,Departments of Neurology, Shanghai East Hospital, Tongji University, Shanghai, China.
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23
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Iriondo A, García-Sebastian M, Arrospide A, Arriba M, Aurtenetxe S, Barandiaran M, Clerigue M, Ecay-Torres M, Estanga A, Gabilondo A, Izagirre A, Saldias J, Tainta M, Villanua J, Mar J, Goñi FM, Martínez-Lage P. Plasma lipids are associated with white matter microstructural changes and axonal degeneration. Brain Imaging Behav 2021; 15:1043-1057. [PMID: 32748320 DOI: 10.1007/s11682-020-00311-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Dislipidemia is a risk factor for cognitive impairment. We studied the association between interindividual variability of plasma lipids and white matter (WM) microstructure, using diffusion tensor imaging (DTI) in 273 healthy adults. Special focus was placed on 7 regions of interest (ROI) which are structural components of cognitive neurocircuitry. We also investigated the effect of plasma lipids on cerebrospinal fluid (CSF) neurofilament light chain (NfL), an axonal degeneration marker. Low density lipoprotein (LDL) and triglyceride (TG) levels showed a negative association with axial diffusivity (AxD) in multiple regions. High density lipoproteins (HDL) showed a positive correlation. The association was independent of Apolipoprotein E (APOE) genotype, blood pressure or use of statins. LDL moderated the relation between NfL and AxD in the body of the corpus callosum (p = 0.041), right cingulum gyrus (p = 0.041), right fornix/stria terminalis (p = 0.025) and right superior longitudinal fasciculus (p = 0.020) and TG in the right inferior longitudinal fasciculus (p = 0.004) and left fornix/stria terminalis (p = 0.001). We conclude that plasma lipids are associated to WM microstructural changes and axonal degeneration and might represent a risk factor in the transition from healthy aging to disease.
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Affiliation(s)
- Ane Iriondo
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Maite García-Sebastian
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Arantzazu Arrospide
- Gipuzkoa Primary Care - Integrated Health Care Organizations Research Unit. Alto Deba Integrated Health Care Organisation, Arrasate, Spain.,Biodonostia Health Research Institute, Donostia-San Sebastian, Spain
| | - Maria Arriba
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Sara Aurtenetxe
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Myriam Barandiaran
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Montserrat Clerigue
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Mirian Ecay-Torres
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Ainara Estanga
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Alazne Gabilondo
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Andrea Izagirre
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain.,Department of Nursing II, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Jon Saldias
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Mikel Tainta
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Jorge Villanua
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Javier Mar
- Gipuzkoa Primary Care - Integrated Health Care Organizations Research Unit. Alto Deba Integrated Health Care Organisation, Arrasate, Spain.,Biodonostia Health Research Institute, Donostia-San Sebastian, Spain
| | - Felix M Goñi
- Departamento de Bioquímica, University of the Basque Country (UPV/EHU) and Instituto Biofisika (CSIC, UPV/EHU), Leioa, Spain
| | - Pablo Martínez-Lage
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain.
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24
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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: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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.
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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
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25
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Rübsamen N, Maceski A, Leppert D, Benkert P, Kuhle J, Wiendl H, Peters A, Karch A, Berger K. Serum neurofilament light and tau as prognostic markers for all-cause mortality in the elderly general population-an analysis from the MEMO study. BMC Med 2021; 19:38. [PMID: 33583409 PMCID: PMC7883435 DOI: 10.1186/s12916-021-01915-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 01/14/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Neurofilament light chain (NfL) is a cytoskeletal protein component whose release into blood is indicative of neuronal damage. Tau is a microtubule-associated protein in neurons and strongly associated with overall brain degeneration. NfL and tau levels are associated with mortality in different neurological diseases, but studies in the general population are missing. We investigated whether NfL and tau serum levels could serve as prognostic markers for overall mortality in elderly individuals without pre-defined neurological conditions. Further, we investigated the cross-sectional associations between NfL, tau, neuropsychological functioning, and brain structures. METHODS In 1997, 385 inhabitants of Augsburg who were aged 65 years and older were included in the Memory and Morbidity in Augsburg Elderly (MEMO) study. They participated in a face-to-face medical interview including neuropsychological tests and magnetic resonance imaging (MRI) of the brain. NfL and tau were measured from non-fasting blood samples using highly sensitive single molecule array assays. To assess the prognostic accuracy of the biomarkers, concordance statistics based on the predicted 5-year survival probabilities were calculated for different Cox regression models. Associations between the biomarkers and the neuropsychological test scores or brain structures were investigated using linear or logistic regression. RESULTS NfL (HR 1.27, 95% CI [1.14-1.42]) and tau (1.20 [1.07-1.35]) serum levels were independently associated with all-cause mortality. NfL, but not tau, increased the prognostic accuracy when added to a model containing sociodemographic characteristics (concordance statistic 0.684 [0.612-0.755] vs. 0.663 [0.593-0.733]), but not when added to a model containing sociodemographic characteristics and brain atrophy or neuropsychological test scores. NfL serum levels were cross-sectionally associated with neuropsychological test scores and brain structures. CONCLUSIONS The association between NfL serum levels and brain atrophy and neuropsychological performance in individuals without overt neurological disease is similar to that seen in patients with neurodegenerative diseases. These findings support the concept of a continuum of physiological aging and incipient, subclinical pathology, and manifest disease. NfL, but not tau, serum levels might serve as a prognostic marker for all-cause mortality if no other clinical information is available.
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Affiliation(s)
- Nicole Rübsamen
- Institute of Epidemiology and Social Medicine, University of Münster, Domagkstraße 3, 48149, Münster, Germany.
| | - Aleksandra Maceski
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Petersgraben 4, 4031, Basel, Switzerland
| | - David Leppert
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Petersgraben 4, 4031, Basel, Switzerland
| | - Pascal Benkert
- Clinical Trial Unit, Department of Clinical Research, University Hospital Basel, University of Basel, Spitalstr 12, 4031, Basel, Switzerland
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Petersgraben 4, 4031, Basel, Switzerland
| | - Heinz Wiendl
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Albert-Schweitzer-Straße 33, 48149, Münster, Germany
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München, Ingolstädter Landstr 1, 85764, Neuherberg, Germany
| | - André Karch
- Institute of Epidemiology and Social Medicine, University of Münster, Domagkstraße 3, 48149, Münster, Germany
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Domagkstraße 3, 48149, Münster, Germany
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26
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Saraste M, Bezukladova S, Matilainen M, Tuisku J, Rissanen E, Sucksdorff M, Laaksonen S, Vuorimaa A, Kuhle J, Leppert D, Airas L. High serum neurofilament associates with diffuse white matter damage in MS. Neurol Neuroimmunol Neuroinflamm 2020; 8:8/1/e926. [PMID: 33293460 PMCID: PMC7803327 DOI: 10.1212/nxi.0000000000000926] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 10/21/2020] [Indexed: 01/24/2023]
Abstract
Objective To evaluate to which extent serum neurofilament light chain (NfL) increase is
related to diffusion tensor imaging–MRI measurable diffuse
normal-appearing white matter (NAWM) damage in MS. Methods Seventy-nine patients with MS and 10 healthy controls underwent MRI including
diffusion tensor sequences and serum NfL determination by single molecule
array (Simoa). Fractional anisotropy and mean, axial, and radial
diffusivities were calculated within the whole and segmented (frontal,
parietal, temporal, occipital, cingulate, and deep) NAWM. Spearman
correlations and multiple regression models were used to assess the
associations between diffusion tensor imaging, volumetric MRI data, and
NfL. Results Elevated NfL correlated with decreased fractional anisotropy and increased
mean, axial, and radial diffusivities in the entire and segmented NAWM (for
entire NAWM ρ = −0.49, p = 0.005;
ρ = 0.49, p = 0.005; ρ = 0.43,
p = 0.018; and ρ = 0.48,
p = 0.006, respectively). A multiple regression
model examining the effect of diffusion tensor indices on NfL showed
significant associations when adjusted for sex, age, disease type, the
expanded disability status scale, treatment, and presence of relapses. In
the same model, T2 lesion volume was similarly associated with NfL. Conclusions Our findings suggest that elevated serum NfL in MS results from neuroaxonal
damage both within the NAWM and focal T2 lesions. This pathologic
heterogeneity ought to be taken into account when interpreting NfL findings
at the individual patient level.
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Affiliation(s)
- Maija Saraste
- From the Turku PET Centre, Turku University Hospital and University of Turku (M. Saraste, S.B., M.M., J.T., E.R., M. Sucksdorff, S.L., A.V., L.A.); Division of Clinical Neurosciences (E.R., M. Sucksdorff, S.L., A.V., L.A.), Turku University Hospital, Finland; and Departments of Medicine, Biomedicine and Clinical Research, Neurologic Clinic and Policlinic (J.K., D.L.), University Hospital Basel, Switzerland.
| | - Svetlana Bezukladova
- From the Turku PET Centre, Turku University Hospital and University of Turku (M. Saraste, S.B., M.M., J.T., E.R., M. Sucksdorff, S.L., A.V., L.A.); Division of Clinical Neurosciences (E.R., M. Sucksdorff, S.L., A.V., L.A.), Turku University Hospital, Finland; and Departments of Medicine, Biomedicine and Clinical Research, Neurologic Clinic and Policlinic (J.K., D.L.), University Hospital Basel, Switzerland
| | - Markus Matilainen
- From the Turku PET Centre, Turku University Hospital and University of Turku (M. Saraste, S.B., M.M., J.T., E.R., M. Sucksdorff, S.L., A.V., L.A.); Division of Clinical Neurosciences (E.R., M. Sucksdorff, S.L., A.V., L.A.), Turku University Hospital, Finland; and Departments of Medicine, Biomedicine and Clinical Research, Neurologic Clinic and Policlinic (J.K., D.L.), University Hospital Basel, Switzerland
| | - Jouni Tuisku
- From the Turku PET Centre, Turku University Hospital and University of Turku (M. Saraste, S.B., M.M., J.T., E.R., M. Sucksdorff, S.L., A.V., L.A.); Division of Clinical Neurosciences (E.R., M. Sucksdorff, S.L., A.V., L.A.), Turku University Hospital, Finland; and Departments of Medicine, Biomedicine and Clinical Research, Neurologic Clinic and Policlinic (J.K., D.L.), University Hospital Basel, Switzerland
| | - Eero Rissanen
- From the Turku PET Centre, Turku University Hospital and University of Turku (M. Saraste, S.B., M.M., J.T., E.R., M. Sucksdorff, S.L., A.V., L.A.); Division of Clinical Neurosciences (E.R., M. Sucksdorff, S.L., A.V., L.A.), Turku University Hospital, Finland; and Departments of Medicine, Biomedicine and Clinical Research, Neurologic Clinic and Policlinic (J.K., D.L.), University Hospital Basel, Switzerland
| | - Marcus Sucksdorff
- From the Turku PET Centre, Turku University Hospital and University of Turku (M. Saraste, S.B., M.M., J.T., E.R., M. Sucksdorff, S.L., A.V., L.A.); Division of Clinical Neurosciences (E.R., M. Sucksdorff, S.L., A.V., L.A.), Turku University Hospital, Finland; and Departments of Medicine, Biomedicine and Clinical Research, Neurologic Clinic and Policlinic (J.K., D.L.), University Hospital Basel, Switzerland
| | - Sini Laaksonen
- From the Turku PET Centre, Turku University Hospital and University of Turku (M. Saraste, S.B., M.M., J.T., E.R., M. Sucksdorff, S.L., A.V., L.A.); Division of Clinical Neurosciences (E.R., M. Sucksdorff, S.L., A.V., L.A.), Turku University Hospital, Finland; and Departments of Medicine, Biomedicine and Clinical Research, Neurologic Clinic and Policlinic (J.K., D.L.), University Hospital Basel, Switzerland
| | - Anna Vuorimaa
- From the Turku PET Centre, Turku University Hospital and University of Turku (M. Saraste, S.B., M.M., J.T., E.R., M. Sucksdorff, S.L., A.V., L.A.); Division of Clinical Neurosciences (E.R., M. Sucksdorff, S.L., A.V., L.A.), Turku University Hospital, Finland; and Departments of Medicine, Biomedicine and Clinical Research, Neurologic Clinic and Policlinic (J.K., D.L.), University Hospital Basel, Switzerland
| | - Jens Kuhle
- From the Turku PET Centre, Turku University Hospital and University of Turku (M. Saraste, S.B., M.M., J.T., E.R., M. Sucksdorff, S.L., A.V., L.A.); Division of Clinical Neurosciences (E.R., M. Sucksdorff, S.L., A.V., L.A.), Turku University Hospital, Finland; and Departments of Medicine, Biomedicine and Clinical Research, Neurologic Clinic and Policlinic (J.K., D.L.), University Hospital Basel, Switzerland
| | - David Leppert
- From the Turku PET Centre, Turku University Hospital and University of Turku (M. Saraste, S.B., M.M., J.T., E.R., M. Sucksdorff, S.L., A.V., L.A.); Division of Clinical Neurosciences (E.R., M. Sucksdorff, S.L., A.V., L.A.), Turku University Hospital, Finland; and Departments of Medicine, Biomedicine and Clinical Research, Neurologic Clinic and Policlinic (J.K., D.L.), University Hospital Basel, Switzerland
| | - Laura Airas
- From the Turku PET Centre, Turku University Hospital and University of Turku (M. Saraste, S.B., M.M., J.T., E.R., M. Sucksdorff, S.L., A.V., L.A.); Division of Clinical Neurosciences (E.R., M. Sucksdorff, S.L., A.V., L.A.), Turku University Hospital, Finland; and Departments of Medicine, Biomedicine and Clinical Research, Neurologic Clinic and Policlinic (J.K., D.L.), University Hospital Basel, Switzerland
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27
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Teipel SJ, Kuper-Smith JO, Bartels C, Brosseron F, Buchmann M, Buerger K, Catak C, Janowitz D, Dechent P, Dobisch L, Ertl-Wagner B, Fließbach K, Haynes JD, Heneka MT, Kilimann I, Laske C, Li S, Menne F, Metzger CD, Priller J, Pross V, Ramirez A, Scheffler K, Schneider A, Spottke A, Spruth EJ, Wagner M, Wiltfang J, Wolfsgruber S, Düzel E, Jessen F, Dyrba M. Multicenter Tract-Based Analysis of Microstructural Lesions within the Alzheimer's Disease Spectrum: Association with Amyloid Pathology and Diagnostic Usefulness. J Alzheimers Dis 2020; 72:455-465. [PMID: 31594223 PMCID: PMC6918918 DOI: 10.3233/jad-190446] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Diffusion changes as determined by diffusion tensor imaging are potential indicators of microstructural lesions in people with mild cognitive impairment (MCI), prodromal Alzheimer’s disease (AD), and AD dementia. Here we extended the scope of analysis toward subjective cognitive complaints as a pre-MCI at risk stage of AD. In a cohort of 271 participants of the prospective DELCODE study, including 93 healthy controls and 98 subjective cognitive decline (SCD), 45 MCI, and 35 AD dementia cases, we found reductions of fiber tract integrity in limbic and association fiber tracts in MCI and AD dementia compared with controls in a tract-based analysis (p < 0.05, family wise error corrected). In contrast, people with SCD showed spatially restricted white matter alterations only for the mode of anisotropy and only at an uncorrected level of significance. DTI parameters yielded a high cross-validated diagnostic accuracy of almost 80% for the clinical diagnosis of MCI and the discrimination of Aβ positive MCI cases from Aβ negative controls. In contrast, DTI parameters reached only random level accuracy for the discrimination between Aβ positive SCD and control cases from Aβ negative controls. These findings suggest that in prodromal stages of AD, such as in Aβ positive MCI, multicenter DTI with prospectively harmonized acquisition parameters yields diagnostic accuracy meeting the criteria for a useful biomarker. In contrast, automated tract-based analysis of DTI parameters is not useful for the identification of preclinical AD, including Aβ positive SCD and control cases.
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Affiliation(s)
- Stefan J Teipel
- Department of Psychosomatic Medicine, University of Rostock, Rostock, Germany.,German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
| | - Jan O Kuper-Smith
- Department of Psychosomatic Medicine, University of Rostock, Rostock, Germany
| | - Claudia Bartels
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany.,Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Goettingen, Germany
| | - Frederic Brosseron
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Martina Buchmann
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.,Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Katharina Buerger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Munich, Germany.,Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Cihan Catak
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Peter Dechent
- MR-Research in Neurology and Psychiatry, Georg-August-University Göttingen, Göttingen, Germany
| | - Laura Dobisch
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Birgit Ertl-Wagner
- Institute for Clinical Radiology, Ludwig-Maximilians-University, Munich, Germany.,Division of Neuroradiology, Department of Medical Imaging, The Hospital for Sick Children, Toronto, Canada
| | - Klaus Fließbach
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - John-Dylan Haynes
- Bernstein Center for Computational Neuroscience, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Michael T Heneka
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Ingo Kilimann
- Department of Psychosomatic Medicine, University of Rostock, Rostock, Germany.,German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.,Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Siyao Li
- Institute of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Felix Menne
- Institute of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Coraline D Metzger
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany.,Department of Psychiatry and Psychotherapy, Otto-von-Guericke University, Magdeburg, Germany
| | - Josef Priller
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany.,German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
| | - Verena Pross
- Study Center Bonn, Medical Faculty, Bonn, Germany
| | - Alfredo Ramirez
- Department of Psychiatry, University of Cologne, Cologne, Germany
| | - Klaus Scheffler
- Department for Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurology, University of Bonn, Bonn, Germany
| | - Eike J Spruth
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany.,German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
| | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Jens Wiltfang
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany.,Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Goettingen, Germany
| | | | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Psychiatry, University of Cologne, Cologne, Germany
| | - Martin Dyrba
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
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Zhou B, Fukushima M. Clinical Utility of the Pathogenesis-Related Proteins in Alzheimer's Disease. Int J Mol Sci 2020; 21:E8661. [PMID: 33212853 DOI: 10.3390/ijms21228661] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 11/05/2020] [Accepted: 11/13/2020] [Indexed: 12/16/2022] Open
Abstract
Research on the Aβ cascade and alternations of biomarkers in neuro-inflammation, synaptic dysfunction, and neuronal injury followed by Aβ have progressed. But the question is how to use the biomarkers. Here, we examine the evidence and pathogenic implications of protein interactions and the time order of alternation. After the deposition of Aβ, the change of tau, neurofilament light chain (NFL), and neurogranin (Ng) is the main alternation and connection to others. Neuro-inflammation, synaptic dysfunction, and neuronal injury function is exhibited prior to the structural and metabolic changes in the brain following Aβ deposition. The time order of such biomarkers compared to the tau protein is not clear. Despite the close relationship between biomarkers and plaque Aβ deposition, several factors favor one or the other. There is an interaction between some proteins that can predict the brain amyloid burden. The Aβ cascade hypothesis could be the pathway, but not all subjects suffer from Alzheimer's disease (AD) within a long follow-up, even with very elevated Aβ. The interaction of biomarkers and the time order of change require further research to identify the right subjects and right molecular target for precision medicine therapies.
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Moore EE, Liu D, Bown CW, Kresge HA, Gupta DK, Pechman KR, Mendes LA, Davis LT, Gifford KA, Anderson AW, Wang TJ, Landman BA, Hohman TJ, Jefferson AL. Lower cardiac output is associated with neurodegeneration among older adults with normal cognition but not mild cognitive impairment. Brain Imaging Behav 2020; 15:2040-2050. [PMID: 33040257 PMCID: PMC8035362 DOI: 10.1007/s11682-020-00398-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/07/2020] [Indexed: 01/21/2023]
Abstract
Subclinical cardiac dysfunction is associated with smaller total brain volume on magnetic resonance imaging (MRI). To study whether cardiac output relates to regional measurements of grey and white matter structure, older adults (n = 326) underwent echocardiogram to quantify cardiac output (L/min) and brain MRI. Linear regressions related cardiac output to grey matter volumes measured on T1 and white matter hyperintensities assessed on T2-FLAIR. Voxelwise analyses related cardiac output to diffusion tensor imaging adjusting for demographic, genetic, and vascular risk factors. Follow-up models assessed a cardiac output x diagnosis interaction with stratification (normal cognition, mild cognitive impairment). Cardiac output interacted with diagnosis, such that lower cardiac output related to smaller total grey matter (p = 0.01), frontal lobe (p = 0.01), and occipital lobe volumes (p = 0.01) among participants with normal cognition. When excluding participants with cardiovascular disease and atrial fibrillation, associations emerged with smaller parietal lobe (p = 0.005) and hippocampal volume (p = 0.05). Subtle age-related cardiac changes may disrupt neuronal homeostasis and impact grey matter integrity prior to cognitive impairment.
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Affiliation(s)
- Elizabeth E Moore
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Avenue South, Suite 204, Nashville, TN, 37212, USA
- Medical Scientist Training Program, School of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Dandan Liu
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Avenue South, Suite 204, Nashville, TN, 37212, USA
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Corey W Bown
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Avenue South, Suite 204, Nashville, TN, 37212, USA
| | - Hailey A Kresge
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Avenue South, Suite 204, Nashville, TN, 37212, USA
| | - Deepak K Gupta
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kimberly R Pechman
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Avenue South, Suite 204, Nashville, TN, 37212, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lisa A Mendes
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - L Taylor Davis
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Avenue South, Suite 204, Nashville, TN, 37212, USA
- Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Katherine A Gifford
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Avenue South, Suite 204, Nashville, TN, 37212, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Adam W Anderson
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Thomas J Wang
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Bennett A Landman
- Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Timothy J Hohman
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Avenue South, Suite 204, Nashville, TN, 37212, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Angela L Jefferson
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Avenue South, Suite 204, Nashville, TN, 37212, USA.
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA.
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Rajan KB, Aggarwal NT, McAninch EA, Weuve J, Barnes LL, Wilson RS, DeCarli C, Evans DA. Remote Blood Biomarkers of Longitudinal Cognitive Outcomes in a Population Study. Ann Neurol 2020; 88:1065-1076. [PMID: 32799383 DOI: 10.1002/ana.25874] [Citation(s) in RCA: 71] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Revised: 07/11/2020] [Accepted: 08/09/2020] [Indexed: 01/09/2023]
Abstract
OBJECTIVE The longitudinal association of the blood biomarkers total tau (t-tau), neurofilament light (Nf-L), and glial fibrillary acidic protein (GFAP) with common sporadic Alzheimer disease (AD) and cognitive decline is not established. METHODS Using a single molecule array technology, ultrasensitive immunoassays for serum concentrations of t-tau, Nf-L, and GFAP were measured in a population sample of 1,327 participants (60% African Americans and women) who had a clinical evaluation for AD, had completed in-home cognitive assessments, and had undergone 1.5T structural magnetic resonance imaging. RESULTS Higher concentrations of serum biomarkers were associated with the development of clinical AD; especially, the time-specific associations were notable: t-tau 8 to 16 years, and Nf-L and GFAP 4 to 8 years prior to clinical AD. Serum biomarkers were associated with faster cognitive decline over 16 years; baseline t-tau > 0.40pg/ml had 30% faster decline, Nf-L > 25.5pg/ml had 110% faster decline, and GFAP > 232pg/ml had 130% faster decline compared to those in the lowest quartile. Participants with baseline GFAP > 232pg/ml showed 160% faster decline in hippocampal volume compared to those with values < 160pg/ml. Additionally, higher baseline t-tau was associated with faster increase in 3rd ventricular volume, and baseline Nf-L and GFAP were associated with faster decline in cortical thickness. INTERPRETATION Serum t-tau, Nf-L, and GFAP predict the development of sporadic AD and cognitive decline, and changes in structural brain characteristics, suggesting their usefulness not only as screening and predictive biomarkers, but also in capturing the pathogenesis of Alzheimer dementia. ANN NEUROL 2020;88:1065-1076.
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Affiliation(s)
- Kumar B Rajan
- Department of Public Health Sciences, University of California, Davis, CA, USA.,Alzheimer's Disease Center, University of California, Sacramento, CA, USA
| | | | - Elizabeth A McAninch
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Jennifer Weuve
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | | | | | - Charles DeCarli
- Department of Neurology, University of California at Davis, Sacramento, CA, USA
| | - Denis A Evans
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
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Walsh P, Sudre CH, Fiford CM, Ryan NS, Lashley T, Frost C, Barnes J; ADNI Investigators. The age-dependent associations of white matter hyperintensities and neurofilament light in early- and late-stage Alzheimer's disease. Neurobiol Aging 2021; 97:10-7. [PMID: 33070094 DOI: 10.1016/j.neurobiolaging.2020.09.008] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 08/28/2020] [Accepted: 09/01/2020] [Indexed: 01/19/2023]
Abstract
Neurofilament light (NFL) is an emerging marker of axonal degeneration. This study investigated the relationship between white matter hyperintensities (WMHs) and plasma NFL in a large elderly cohort with, and without, cognitive impairment. We used the Alzheimer's Disease Neuroimaging Initiative and included 163 controls, 103 participants with a significant memory concern, 279 with early mild cognitive impairment (EMCI), 152 with late mild cognitive impairment (LMCI), and 130 with Alzheimer's disease, with 3T MRI and plasma NFL data. Multiple linear regression models examined the relationship between WMHs and NFL, with and without age adjustment. We used smoking status, history of hypertension, history of diabetes, and BMI as additional covariates to examine the effect of vascular risk. We found increases of between 20% and 41% in WMH volume per 1SD increase in NFL in significant memory concern, early mild cognitive impairment, late mild cognitive impairment, and Alzheimer's disease groups (p < 0.02). Marked attenuation of the positive associations between WMHs and NFL were seen after age adjustment, suggesting that a significant proportion of the association between NFL and WMHs is age-related. No effect of vascular risk was observed. These results are supportive of a link between WMH and axonal degeneration in early to late disease stages, in an age-dependent, but vascular risk-independent manner.
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Osborn KE, Alverio JM, Dumitrescu L, Pechman KR, Gifford KA, Hohman TJ, Blennow K, Zetterberg H, Jefferson AL. Adverse Vascular Risk Relates to Cerebrospinal Fluid Biomarker Evidence of Axonal Injury in the Presence of Alzheimer's Disease Pathology. J Alzheimers Dis 2020; 71:281-290. [PMID: 31381510 DOI: 10.3233/jad-190077] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Vascular risk factors promote cerebral small vessel disease and neuropathological changes, particularly in white matter where large-caliber axons are located. How Alzheimer's disease pathology influences the brain's vulnerability in this regard is not well understood. OBJECTIVE Systemic vascular risk was assessed in relation to cerebrospinal fluid concentrations of neurofilament light, a biomarker of large-caliber axonal injury, evaluating for interactions by clinical and protein markers of Alzheimer's disease. METHODS Among Alzheimer's Disease Neuroimaging Initiative participants with normal cognition (n = 117), mild cognitive impairment (n = 190), and Alzheimer's disease (n = 95), linear regression related vascular risk (as measured by the modified Framingham Stroke Risk Profile) to neurofilament light, adjusting for age, sex, education, and cognitive diagnosis. Interactions were assessed by cognitive diagnosis, and by cerebrospinal fluid markers of Aβ42, hyperphosphorylated tau, and total tau. RESULTS Vascular risk and neurofilament light were not related in the main effect model (p = 0.08). However, interactions emerged for total tau (p = 0.01) and hyperphosphorylated tau (p = 0.002) reflecting vascular risk becoming more associated with cerebrospinal fluid neurofilament light in the context of greater concentrations of tau biomarkers. An interaction also emerged for the Alzheimer's disease biomarker profiles (p = 0.046) where in comparison to the referent 'normal' biomarker group, individuals with abnormal levels of both Aβ42 and total tau showed stronger associations between vascular risk and neurofilament light. CONCLUSION Older adults may be more vulnerable to axonal injury in response to higher vascular risk burdens in the context of concomitant Alzheimer's disease pathology.
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Affiliation(s)
- Katie E Osborn
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Logan Dumitrescu
- 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
| | | | - 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.,Vanderbilt Genetics Institute, 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.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, 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
| | - Angela L Jefferson
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
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Casey CP, Lindroth H, Mohanty R, Farahbakhsh Z, Ballweg T, Twadell S, Miller S, Krause B, Prabhakaran V, Blennow K, Zetterberg H, Sanders RD. Postoperative delirium is associated with increased plasma neurofilament light. Brain 2020; 143:47-54. [PMID: 31802104 DOI: 10.1093/brain/awz354] [Citation(s) in RCA: 91] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 09/02/2019] [Accepted: 09/25/2019] [Indexed: 02/07/2023] Open
Abstract
While delirium is associated with cognitive decline and dementia, there is limited evidence to support causality for this relationship. Clarification of how delirium may cause cognitive decline, perhaps through evidence of contemporaneous neuronal injury, would enhance plausibility for a causal relationship. Dose-dependence of neuronal injury with delirium severity would further enhance the biological plausibility for this relationship. We tested whether delirium is associated with neuronal injury in 114 surgical patients recruited to a prospective biomarker cohort study. Patients underwent perioperative testing for changes in neurofilament light, a neuronal injury biomarker, as well as a panel of 10 cytokines, with contemporaneous assessment of delirium severity and incidence. A subset of patients underwent preoperative MRI. Initially we confirmed prior reports that neurofilament light levels correlated with markers of neurodegeneration [hippocampal volume (ΔR2 = 0.129, P = 0.015)] and white matter changes including fractional anisotropy of white matter (ΔR2 = 0.417, P < 0.001) with similar effects on mean, axial and radial diffusivity) in our cohort and that surgery was associated with increasing neurofilament light from preoperative levels [mean difference (95% confidence interval, CI) = 0.240 (0.178, 0.301) log10 (pg/ml), P < 0.001], suggesting putative neuronal injury. Next, we tested the relationship with delirium. Neurofilament light rose more sharply in participants with delirium compared to non-sufferers [mean difference (95% CI) = 0.251 (0.136, 0.367) log10 (pg/ml), P < 0.001]. This relationship showed dose-dependence, such that neurofilament light rose proportionately to delirium severity (ΔR2 = 0.199, P < 0.001). Given that inflammation is considered an important driver of postoperative delirium, next we tested whether neurofilament light, as a potential marker of neurotoxicity, may contribute to the pathogenesis of delirium independent of inflammation. From a panel of 10 cytokines, the pro-inflammatory cytokine IL-8 exhibited a strong correlation with delirium severity (ΔR2 = 0.208, P < 0.001). Therefore, we tested whether the change in neurofilament light contributed to delirium severity independent of IL-8. Neurofilament light was independently associated with delirium severity after adjusting for the change in inflammation (ΔR2 = 0.040, P = 0.038). These data suggest delirium is associated with exaggerated increases in neurofilament light and that this putative neurotoxicity may contribute to the pathogenesis of delirium itself, independent of changes in inflammation.
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Affiliation(s)
- Cameron P Casey
- Department of Anesthesiology, University of Wisconsin School of Medicine and Public Health, Madison, USA
| | - Heidi Lindroth
- Department of Anesthesiology, University of Wisconsin School of Medicine and Public Health, Madison, USA.,Department of Medicine, Indiana University School of Medicine, Center for Aging Research, Center for Health Innovation and Implementation, Indianapolis, USA
| | - Rosaleena Mohanty
- Department of Anesthesiology, University of Wisconsin School of Medicine and Public Health, Madison, USA.,Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, USA
| | - Zahra Farahbakhsh
- Department of Anesthesiology, University of Wisconsin School of Medicine and Public Health, Madison, USA
| | - Tyler Ballweg
- Department of Anesthesiology, University of Wisconsin School of Medicine and Public Health, Madison, USA
| | - Sarah Twadell
- Department of Anesthesiology, University of Wisconsin School of Medicine and Public Health, Madison, USA
| | - Samantha Miller
- Department of Anesthesiology, University of Wisconsin School of Medicine and Public Health, Madison, USA
| | - Bryan Krause
- Department of Anesthesiology, University of Wisconsin School of Medicine and Public Health, Madison, USA
| | - Vivek Prabhakaran
- Department of Medicine, Indiana University School of Medicine, Center for Aging Research, Center for Health Innovation and Implementation, Indianapolis, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, 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
| | - Robert D Sanders
- Department of Anesthesiology, University of Wisconsin School of Medicine and Public Health, Madison, USA
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Andersson E, Janelidze S, Lampinen B, Nilsson M, Leuzy A, Stomrud E, Blennow K, Zetterberg H, Hansson O. Blood and cerebrospinal fluid neurofilament light differentially detect neurodegeneration in early Alzheimer's disease. Neurobiol Aging 2020; 95:143-153. [PMID: 32810755 PMCID: PMC7649343 DOI: 10.1016/j.neurobiolaging.2020.07.018] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 07/16/2020] [Accepted: 07/19/2020] [Indexed: 01/08/2023]
Abstract
Cerebrospinal fluid (CSF) neurofilament light (NfL) concentration has reproducibly been shown to reflect neurodegeneration in brain disorders, including Alzheimer's disease (AD). NfL concentration in blood correlates with the corresponding CSF levels, but few studies have directly compared the reliability of these 2 markers in sporadic AD. Herein, we measured plasma and CSF concentrations of NfL in 478 cognitively unimpaired (CU) subjects, 227 patients with mild cognitive impairment, and 113 patients with AD dementia. We found that the concentration of NfL in CSF, but not in plasma, was increased in response to Aβ pathology in CU subjects. Both CSF and plasma NfL concentrations were increased in patients with mild cognitive impairment and AD dementia. Furthermore, only NfL in CSF was associated with reduced white matter microstructure in CU subjects. Finally, in a transgenic mouse model of AD, CSF NfL increased before serum NfL in response to the development of Aβ pathology. In conclusion, NfL in CSF may be a more reliable biomarker of neurodegeneration than NfL in blood in preclinical sporadic AD.
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Affiliation(s)
- Emelie Andersson
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden.
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - Björn Lampinen
- Clinical Sciences Lund, Department of Medical Radiation Physics, Lund University, Lund, Sweden
| | - Markus Nilsson
- Clinical Sciences Lund, Department of Radiology, Lund University, Lund, Sweden
| | - Antoine Leuzy
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, 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, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK; UK Dementia Research Institute at UCL, London, UK
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden.
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He WC, Zhang XJ, Zhang YQ, Zhang WJ. Elevated serum neurofilament light chain in children autism spectrum disorder: A case control study. Neurotoxicology 2020; 80:87-92. [PMID: 32592719 DOI: 10.1016/j.neuro.2020.06.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2019] [Revised: 06/23/2020] [Accepted: 06/23/2020] [Indexed: 12/12/2022]
Abstract
OBJECTIVE We aimed to assess serum neurofilament light chain (sNfL) levels in autism spectrum disorder (ASD) and to investigate whether they are related to the severity of disease. METHODS The cohorts consisted of 166 children aged 3-8 (83 children diagnosed with ASD and 83 children with typically-developing). sNfL were analyzed using Single Molecule Array (Simoa) technology. ASD symptom severity was assessed according to the Chinese version of the Childhood Autism Rating Scale (CARS) score. RESULTS The mean age of those included ASD was 5.1 years (standard deviations [S.D.]: 1.7) and 78.3 % were boys. The mean (SD) sNfL concentrations were significantly (P < 0.001) higher in ASD than in TP children (10.2[5.0] pg/mL and 7.1[3.2]pg/mL). For each 1 pg/mL increase of sNfL, the risk of ASD would increase by 19 % (with the OR unadjusted of 1.19 [95 % CI 1.10-1.29], P < 0.001) and 11 % (with the OR adjusted of 1.11 [1.03-1.23], P < 0.001), respectively. sNfL concentrations in children with severe ASD were higher than in those children with mild-to-moderate ASD (12.4[5.1] pg/mL vs. 8.3[4.2]pg/mL; P < 0.001). Among ASD cases, each 1 pg/mL increase of sNfL is associated with 20 % higher unadjusted or 11 % higher adjusted odds, respectively, of severe (vs. mild-to-moderate) ASD. CONCLUSIONS The data showed that sNfL was elevated in ASD and related to symptom severity, suggesting that sNfL may play a role in ASD progression.
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Schultz SA, Strain JF, Adedokun A, Wang Q, Preische O, Kuhle J, Flores S, Keefe S, Dincer A, Ances BM, Berman SB, Brickman AM, Cash DM, Chhatwal J, Cruchaga C, Ewers M, Fox NN, Ghetti B, Goate A, Graff-Radford NR, Hassenstab JJ, Hornbeck R, Jack C Jr, Johnson K, Joseph-Mathurin N, Karch CM, Koeppe RA, Lee AKW, Levin J, Masters C, McDade E, Perrin RJ, Rowe CC, Salloway S, Saykin AJ, Sperling R, Su Y, Villemagne VL, Vöglein J, Weiner M, Xiong C, Fagan AM, Morris JC, Bateman RJ, Benzinger TLS, Jucker M, Gordon BA; Dominantly Inherited Alzheimer Network. Serum neurofilament light chain levels are associated with white matter integrity in autosomal dominant Alzheimer's disease. Neurobiol Dis 2020; 142:104960. [PMID: 32522711 DOI: 10.1016/j.nbd.2020.104960] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 05/03/2020] [Accepted: 06/04/2020] [Indexed: 12/12/2022] Open
Abstract
Neurofilament light chain (NfL) is a protein that is selectively expressed in neurons. Increased levels of NfL measured in either cerebrospinal fluid or blood is thought to be a biomarker of neuronal damage in neurodegenerative diseases. However, there have been limited investigations relating NfL to the concurrent measures of white matter (WM) decline that it should reflect. White matter damage is a common feature of Alzheimer's disease. We hypothesized that serum levels of NfL would associate with WM lesion volume and diffusion tensor imaging (DTI) metrics cross-sectionally in 117 autosomal dominant mutation carriers (MC) compared to 84 non-carrier (NC) familial controls as well as in a subset (N = 41) of MC with longitudinal NfL and MRI data. In MC, elevated cross-sectional NfL was positively associated with WM hyperintensity lesion volume, mean diffusivity, radial diffusivity, and axial diffusivity and negatively with fractional anisotropy. Greater change in NfL levels in MC was associated with larger changes in fractional anisotropy, mean diffusivity, and radial diffusivity, all indicative of reduced WM integrity. There were no relationships with NfL in NC. Our results demonstrate that blood-based NfL levels reflect WM integrity and supports the view that blood levels of NfL are predictive of WM damage in the brain. This is a critical result in improving the interpretability of NfL as a marker of brain integrity, and for validating this emerging biomarker for future use in clinical and research settings across multiple neurodegenerative diseases. Serum NfL levels reflect white matter integrity in autosomal dominant Alzheimer disease. Associations between NfL and white matter imaging are present throughout all brain regions. Longitudinal white matter alterations are associated with changes in blood NfL. Results improve interpretability of NfL as a marker of brain integrity.
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Moore EE, Liu D, Pechman KR, Acosta LMY, Bell SP, Davis LT, Blennow K, Zetterberg H, Landman BA, Schrag MS, Hohman TJ, Gifford KA, Jefferson AL. Mild Cognitive Impairment Staging Yields Genetic Susceptibility, Biomarker, and Neuroimaging Differences. Front Aging Neurosci 2020; 12:139. [PMID: 32581762 PMCID: PMC7289958 DOI: 10.3389/fnagi.2020.00139] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 04/27/2020] [Indexed: 01/22/2023] Open
Abstract
Introduction While Alzheimer’s disease (AD) is divided into severity stages, mild cognitive impairment (MCI) remains a solitary construct despite clinical and prognostic heterogeneity. This study aimed to characterize differences in genetic, cerebrospinal fluid (CSF), neuroimaging, and neuropsychological markers across clinician-derived MCI stages. Methods Vanderbilt Memory & Aging Project participants with MCI were categorized into 3 severity subtypes at screening based on neuropsychological assessment, functional assessment, and Clinical Dementia Rating interview, including mild (n = 18, 75 ± 8 years), moderate (n = 89 72 ± 7 years), and severe subtypes (n = 18, 78 ± 8 years). At enrollment, participants underwent neuropsychological testing, 3T brain magnetic resonance imaging (MRI), and optional fasting lumbar puncture to obtain CSF. Neuropsychological testing and MRI were repeated at 18-months, 3-years, and 5-years with a mean follow-up time of 3.3 years. Ordinary least square regressions examined cross-sectional associations between MCI severity and apolipoprotein E (APOE)-ε4 status, CSF biomarkers of amyloid beta (Aβ), phosphorylated tau, total tau, and synaptic dysfunction (neurogranin), baseline neuroimaging biomarkers, and baseline neuropsychological performance. Longitudinal associations between baseline MCI severity and neuroimaging and neuropsychological trajectory were assessed using linear mixed effects models with random intercepts and slopes and a follow-up time interaction. Analyses adjusted for baseline age, sex, race/ethnicity, education, and intracranial volume for MRI models. Results Stages differed at baseline on APOE-ε4 status (early < middle = late; p-values < 0.03) and CSF Aβ (early > middle = late), phosphorylated and total tau (early = middle < late; p-values < 0.05), and neurogranin concentrations (early = middle < late; p-values < 0.05). MCI stage related to greater longitudinal cognitive decline, hippocampal atrophy, and inferior lateral ventricle dilation (early < late; p-values < 0.03). Discussion Clinician staging of MCI severity yielded longitudinal cognitive trajectory and structural neuroimaging differences in regions susceptible to AD neuropathology and neurodegeneration. As expected, participants with more severe MCI symptoms at study entry had greater cognitive decline and gray matter atrophy over time. Differences are likely attributable to baseline differences in amyloidosis, tau, and synaptic dysfunction. MCI staging may provide insight into underlying pathology, prognosis, and therapeutic targets.
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Affiliation(s)
- Elizabeth E Moore
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Dandan Liu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Kimberly R Pechman
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Lealani Mae Y Acosta
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Susan P Bell
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States.,Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - L Taylor Davis
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States.,Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at 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 at University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom.,UK Dementia Research Institute at UCL, London, United Kingdom
| | - Bennett A Landman
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.,Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States.,Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, United States
| | - Matthew S Schrag
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Timothy J Hohman
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States.,Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Katherine A Gifford
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Angela L Jefferson
- Vanderbilt Memory & Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States.,Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
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Abstract
Neurofilaments are proteins selectively expressed in the cytoskeleton of neurons, and increased levels are a marker of damage. Elevated neurofilament levels can serve as a marker of ongoing disease activity as well as a tool to measure response to therapeutic intervention. The potential utility of neurofilaments has drastically increased as recent advances have made it possible to measure levels in both the cerebrospinal fluid and blood. There is mounting evidence that neurofilament light chain (NfL) and phosphorylated neurofilament heavy chain (NfH) are abnormal in a host of neurodegenerative diseases. In this review we examine how both of these proteins behave across diseases and what we know about how these biomarkers relate to in vivo white matter pathology and each other.
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Affiliation(s)
- Brian A Gordon
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, MO, USA; Psychological & Brain Sciences, Washington University in St. Louis, MO, USA.
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39
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Mistry EA, Mistry AM, Mehta T, Arora N, Starosciak AK, La Rosa FDLR, Siegler JE, Kasner SE, Chitale R, Fusco M, Froehler M, Yaghi S, Schrag M, Khatri P. White Matter Disease and Outcomes of Mechanical Thrombectomy for Acute Ischemic Stroke. AJNR Am J Neuroradiol 2020; 41:639-644. [PMID: 32165366 DOI: 10.3174/ajnr.a6478] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 01/31/2020] [Indexed: 01/01/2023]
Abstract
BACKGROUND AND PURPOSE The increased severity of white matter disease is associated with worse outcomes and an increased rate of intracerebral hemorrhage in patients with ischemic stroke undergoing thrombolytic treatment. However, whether white matter disease is associated with outcomes in patients undergoing endovascular treatment remains unclear. MATERIALS AND METHODS In this prespecified exploratory analysis of our prospective multi-institutional study that enrolled consecutive adult patients with anterior circulation ischemic stroke undergoing endovascular treatment from November 2017 to September 2018, we compared the following outcomes between patients with none-to-minimal (van Swieten score, 0-2) and moderate-to-severe (van Swieten score, 3-4) white matter disease using logistic regression: 90-day mRS 3-6, death, intracerebral hemorrhage, successful recanalization, and early neurologic recovery. RESULTS Of the 485 patients enrolled in the Blood Pressure after Endovascular Stroke Therapy (BEST) study, 389 had white matter disease graded (50% women; median age, 68 years; range, 58-79 years). A van Swieten score of 3-4 (n = 74/389, 19%) was associated with a higher rate of 90-day mRS of 3-6 (45% versus 18%; adjusted OR, 2.73; 95% CI, 1.34-5.93; P = .008). Although the death rate was higher in patients with van Swieten scores of 3-4 (26% versus 15%), the adjusted likelihood was not significantly different (adjusted OR, 1.14; 95% CI, 0.56-2.26; P = .710). Ordered regression revealed a shift toward worse mRS scores with increasing van Swieten scores (adjusted common OR, 3.04; 95% CI, 1.93-4.84; P < .001). No associations between white matter disease severity and intracerebral hemorrhage, successful recanalization, and early neurologic recovery were observed. CONCLUSIONS Moderate-to-severe white matter disease is associated with worse outcomes in patients undergoing endovascular treatment without a significant increase in hemorrhagic complications. Studies comparing patients with and without endovascular treatment are necessary to determine whether the benefit of endovascular treatment is attenuated with greater white matter disease.
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Affiliation(s)
- E A Mistry
- From the Departments of Neurology (E.A.M., M.S.) and
| | - A M Mistry
- Neurosurgery (A.M.M., R.C., M. Fusco), and
| | - T Mehta
- Department of Neurology and Neurosurgery (T.M.), University of Minnesota, Minneapolis, Minnesota
| | - N Arora
- Department of Neurology (N.A.), University of Missouri, Columbia, Missouri
| | - A K Starosciak
- Baptist Health Neuroscience Center (A.K.S., F.D.L.R.L.R.), Miami, Florida
| | - F D L R La Rosa
- Baptist Health Neuroscience Center (A.K.S., F.D.L.R.L.R.), Miami, Florida
| | - J E Siegler
- Department of Neurology (J.E.S., S.E.K.), University of Pennsylvania, Philadelphia, Pennsylvania
| | - S E Kasner
- Department of Neurology (J.E.S., S.E.K.), University of Pennsylvania, Philadelphia, Pennsylvania
| | - R Chitale
- Neurosurgery (A.M.M., R.C., M. Fusco), and
| | - M Fusco
- Neurosurgery (A.M.M., R.C., M. Fusco), and
| | - M Froehler
- Cerebrovascular Program (M. Froehler), Vanderbilt University Medical Center, Nashville, Tennessee
| | - S Yaghi
- New York University Langone Health (S.Y.), Brooklyn, New York
| | - M Schrag
- From the Departments of Neurology (E.A.M., M.S.) and
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40
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Calderón-Garcidueñas L, Mukherjee PS, Waniek K, Holzer M, Chao CK, Thompson C, Ruiz-Ramos R, Calderón-Garcidueñas A, Franco-Lira M, Reynoso-Robles R, Gónzalez-Maciel A, Lachmann I. Non-Phosphorylated Tau in Cerebrospinal Fluid is a Marker of Alzheimer's Disease Continuum in Young Urbanites Exposed to Air Pollution. J Alzheimers Dis 2019; 66:1437-1451. [PMID: 30412505 DOI: 10.3233/jad-180853] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Long-term exposure to fine particulate matter (PM2.5) and ozone (O3) above USEPA standards is associated with Alzheimer's disease (AD) risk. Metropolitan Mexico City (MMC) children exhibit subcortical pretangles in infancy and cortical tau pre-tangles, NFTs, and amyloid phases 1-2 by the 2nd decade. Given their AD continuum, we measured in 507 normal cerebrospinal fluid (CSF) samples (MMC 354, controls 153, 12.82±6.73 y), a high affinity monoclonal non-phosphorylated tau antibody (non-P-Tau), as a potential biomarker of AD and axonal damage. In 81 samples, we also measured total tau (T-Tau), tau phosphorylated at threonine 181 (P-Tau), amyloid-β1-42, BDNF, and vitamin D. We documented by electron microscopy myelinated axonal size and the pathology associated with combustion-derived nanoparticles (CDNPs) in anterior cingulate cortex white matter in 6 young residents (16.25±3.34 y). Non-P-Tau showed a strong increase with age significantly faster among MMC versus controls (p = 0.0055). Aβ1 - 42 and BDNF concentrations were lower in MMC children (p = 0.002 and 0.03, respectively). Anterior cingulate cortex showed a significant decrease (p = <0.0001) in the average axonal size and CDNPs were associated with organelle pathology. Significant age increases in non-P-Tau support tau changes early in a population with axonal pathology and evolving AD hallmarks in the first two decades of life. Non-P-Tau is an early biomarker of axonal damage and potentially valuable to monitor progressive longitudinal changes along with AD multianalyte classical CSF markers. Neuroprotection of young urbanites with PM2.5 and CDNPs exposures ought to be a public health priority to halt the development of AD in the first two decades of life.
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Affiliation(s)
| | | | | | - Max Holzer
- Paul-Flechsig-Institute for Brain Research, Leipzig, Germany
| | | | | | - Rubén Ruiz-Ramos
- Instituto de Medicina Forense, Universidad Veracruzana, Boca del Rio, Mexico
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41
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Oosterveld LP, Verberk IMW, Majbour NK, El-Agnaf OM, Weinstein HC, Berendse HW, Teunissen CE, van de Berg WDJ. CSF or serum neurofilament light added to α-Synuclein panel discriminates Parkinson's from controls. Mov Disord 2019; 35:288-295. [PMID: 31737952 PMCID: PMC7027879 DOI: 10.1002/mds.27897] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 09/23/2019] [Accepted: 10/10/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Neurofilament light chain is a marker of axonal damage and is of interest as a biofluid biomarker for PD. The objective of this study was to investigate whether CSF or serum neurofilament contributes to a combination of CSF biomarkers in defining the optimal biomarker panel for discriminating PD patients from healthy controls. In addition, we aimed to assess whether CSF and/or serum neurofilament levels are associated with clinical measures of disease severity. METHODS We measured neurofilament light chain levels in CSF and/or serum of 139 PD patients and 52 age-matched healthy controls. We used stepwise logistic regression analyses to test whether neurofilament contributes to a biomarker CSF panel including total, oligomeric, and phosphorylated α-synuclein and Alzheimer's disease biomarkers. Measures of disease severity included disease duration, UPDRS-III, Hoehn & Yahr stage, and MMSE. RESULTS After correcting for age, CSF neurofilament levels were 42% higher in PD patients compared with controls (P < 0.01), whereas serum neurofilament levels were 37% higher (P = 0.08). Combining CSF neurofilament, phosphorylated-/total α-synuclein, and oligomeric-/total α-synuclein yielded the best-fitting model for discriminating PD patients from controls (area under the curve 0.92). The discriminatory potential of serum neurofilament in the CSF biomarker panel was similar (area under the curve 0.90). Higher serum neurofilament was associated with a lower MMSE score. There were no other associations between CSF and/or serum neurofilament levels and clinical disease severity. CONCLUSIONS CSF neurofilament contributes to a panel of CSF α-synuclein species in differentiating PD patients from healthy controls. Serum neurofilament may have added value to a biofluid biomarker panel for differentiating PD patients from controls. © 2019 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Linda P Oosterveld
- Department of Anatomy and Neurosciences, Section Clinical Anatomy and Biobanking, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Inge M W Verberk
- Department of Clinical Chemistry, Neurochemistry Laboratory, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Nour K Majbour
- Neurological Disorders Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar
| | - Omar M El-Agnaf
- Neurological Disorders Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar
| | - Henry C Weinstein
- Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Department of Neurology, OLVG, Amsterdam, The Netherlands
| | - Henk W Berendse
- Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Charlotte E Teunissen
- Department of Clinical Chemistry, Neurochemistry Laboratory, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Wilma D J van de Berg
- Department of Anatomy and Neurosciences, Section Clinical Anatomy and Biobanking, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
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42
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Osborn KE, Khan OA, Kresge HA, Bown CW, Liu D, Moore EE, Gifford KA, Acosta LMY, Bell SP, Hohman TJ, Blennow K, Zetterberg H, Jefferson AL. Cerebrospinal fluid and plasma neurofilament light relate to abnormal cognition. Alzheimers Dement (Amst) 2019; 11:700-9. [PMID: 31700989 DOI: 10.1016/j.dadm.2019.08.008] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Introduction Neuroaxonal damage may contribute to cognitive changes preceding clinical dementia. Accessible biomarkers are critical for detecting such damage. Methods Plasma and cerebrospinal fluid (CSF) neurofilament light (NFL) were related to neuropsychological performance among Vanderbilt Memory & Aging Project participants (plasma n = 333, 73 ± 7 years; CSF n = 149, 72 ± 6 years) ranging from normal cognition (NC) to mild cognitive impairment (MCI). Models adjusted for age, sex, race/ethnicity, education, apolipoprotein E ε4 carriership, and Framingham Stroke Risk Profile. Results Plasma NFL was related to all domains (P values ≤ .008) except processing speed (P values ≥ .09). CSF NFL was related to memory and language (P values ≤ .04). Interactions with cognitive diagnosis revealed widespread plasma associations, particularly in MCI participants, which were further supported in head-to-head comparison models. Discussion Plasma and CSF NFL (reflecting neuroaxonal injury) relate to cognition among non-demented older adults albeit with small to medium effects. Plasma NFL shows particular promise as an accessible biomarker with relevance to cognition in MCI. Plasma and cerebrospinal fluid neurofilament light (NFL) were moderately correlated. Cerebrospinal fluid NFL was related to language and memory functions. Plasma NFL exhibited widespread cognitive associations. Plasma NFL associations were particularly robust in mild cognitive impairment.
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43
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Zavaliangos-Petropulu A, Nir TM, Thomopoulos SI, Reid RI, Bernstein MA, Borowski B, Jack CR, Weiner MW, Jahanshad N, Thompson PM. Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3. Front Neuroinform 2019; 13:2. [PMID: 30837858 PMCID: PMC6390411 DOI: 10.3389/fninf.2019.00002] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Accepted: 01/21/2019] [Indexed: 12/14/2022] Open
Abstract
Brain imaging with diffusion-weighted MRI (dMRI) is sensitive to microstructural white matter (WM) changes associated with brain aging and neurodegeneration. In its third phase, the Alzheimer's Disease Neuroimaging Initiative (ADNI3) is collecting data across multiple sites and scanners using different dMRI acquisition protocols, to better understand disease effects. It is vital to understand when data can be pooled across scanners, and how the choice of dMRI protocol affects the sensitivity of extracted measures to differences in clinical impairment. Here, we analyzed ADNI3 data from 317 participants (mean age: 75.4 ± 7.9 years; 143 men/174 women), who were each scanned at one of 47 sites with one of six dMRI protocols using scanners from three different manufacturers. We computed four standard diffusion tensor imaging (DTI) indices including fractional anisotropy (FADTI) and mean, radial, and axial diffusivity, and one FA index based on the tensor distribution function (FATDF), in 24 bilaterally averaged WM regions of interest. We found that protocol differences significantly affected dMRI indices, in particular FADTI. We ranked the diffusion indices for their strength of association with four clinical assessments. In addition to diagnosis, we evaluated cognitive impairment as indexed by three commonly used screening tools for detecting dementia and AD: the AD Assessment Scale (ADAS-cog), the Mini-Mental State Examination (MMSE), and the Clinical Dementia Rating scale sum-of-boxes (CDR-sob). Using a nested random-effects regression model to account for protocol and site, we found that across all dMRI indices and clinical measures, the hippocampal-cingulum and fornix (crus)/stria terminalis regions most consistently showed strong associations with clinical impairment. Overall, the greatest effect sizes were detected in the hippocampal-cingulum (CGH) and uncinate fasciculus (UNC) for associations between axial or mean diffusivity and CDR-sob. FATDF detected robust widespread associations with clinical measures, while FADTI was the weakest of the five indices for detecting associations. Ultimately, we were able to successfully pool dMRI data from multiple acquisition protocols from ADNI3 and detect consistent and robust associations with clinical impairment and age.
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Affiliation(s)
- Artemis Zavaliangos-Petropulu
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States
| | - Talia M Nir
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States
| | - Sophia I Thomopoulos
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States
| | - Robert I Reid
- Department of Information Technology, Mayo Clinic and Foundation, Rochester, MN, United States
| | - Matt A Bernstein
- Department of Radiology, Mayo Clinic, Rochester, MN, United States
| | - Bret Borowski
- Department of Radiology, Mayo Clinic, Rochester, MN, United States
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, MN, United States
| | - Michael W Weiner
- Department of Radiology, School of Medicine, University of California, San Francisco, San Francisco, CA, United States
| | - Neda Jahanshad
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States
| | - Paul M Thompson
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States
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