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Chatziefstathiou A, Canaslan S, Kanata E, Vekrellis K, Constantinides VC, Paraskevas GP, Kapaki E, Schmitz M, Zerr I, Xanthopoulos K, Sklaviadis T, Dafou D. SIMOA Diagnostics on Alzheimer's Disease and Frontotemporal Dementia. Biomedicines 2024; 12:1253. [PMID: 38927460 PMCID: PMC11201638 DOI: 10.3390/biomedicines12061253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 05/27/2024] [Accepted: 05/31/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND Accurate diagnosis of Alzheimer's disease (AD) and frontotemporal dementia (FTD) represents a health issue due to the absence of disease traits. We assessed the performance of a SIMOA panel in cerebrospinal fluid (CSF) from 43 AD and 33 FTD patients with 60 matching Control subjects in combination with demographic-clinical characteristics. METHODS 136 subjects (AD: n = 43, FTD: n = 33, Controls: n = 60) participated. Single-molecule array (SIMOA), glial fibrillary acidic protein (GFAP), neurofilament light (NfL), TAU, and ubiquitin carboxy-terminal hydrolase L1 (UCH-L1) in CSF were analyzed with a multiplex neuro 4plex kit. Receiver operating characteristic (ROC) curve analysis compared area under the curve (AUC), while the principal of the sparse partial least squares discriminant analysis (sPLS-DA) was used with the intent to strengthen the identification of confident disease clusters. RESULTS CSF exhibited increased levels of all SIMOA biomarkers in AD compared to Controls (AUCs: 0.71, 0.86, 0.92, and 0.94, respectively). Similar patterns were observed in FTD with NfL, TAU, and UCH-L1 (AUCs: 0.85, 0.72, and 0.91). sPLS-DA revealed two components explaining 19% and 9% of dataset variation. CONCLUSIONS CSF data provide high diagnostic accuracy among AD, FTD, and Control discrimination. Subgroups of demographic-clinical characteristics and biomarker concentration highlighted the potential of combining different kinds of data for successful and more efficient cohort clustering.
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Affiliation(s)
- Athanasia Chatziefstathiou
- Department of Genetics, Development, and Molecular Biology, School of Biology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;
| | - Sezgi Canaslan
- Department of Neurology, German Center for Neurodegenerative Diseases (DZNE), University Medicine Göttingen, 37075 Göttingen, Germany; (S.C.); (M.S.); (I.Z.)
| | - Eirini Kanata
- Neurodegenerative Diseases Research Group, Department of Pharmacy, School of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (E.K.); (K.X.); (T.S.)
| | - Kostas Vekrellis
- Center of Basic Research, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece;
| | - Vasilios C. Constantinides
- Neurochemistry and Biological Markers Unit, First Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece; (V.C.C.); (E.K.)
| | - George P. Paraskevas
- Second Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Attikon” University General Hospital, 12462 Athens, Greece;
| | - Elisabeth Kapaki
- Neurochemistry and Biological Markers Unit, First Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece; (V.C.C.); (E.K.)
| | - Matthias Schmitz
- Department of Neurology, German Center for Neurodegenerative Diseases (DZNE), University Medicine Göttingen, 37075 Göttingen, Germany; (S.C.); (M.S.); (I.Z.)
| | - Inga Zerr
- Department of Neurology, German Center for Neurodegenerative Diseases (DZNE), University Medicine Göttingen, 37075 Göttingen, Germany; (S.C.); (M.S.); (I.Z.)
| | - Konstantinos Xanthopoulos
- Neurodegenerative Diseases Research Group, Department of Pharmacy, School of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (E.K.); (K.X.); (T.S.)
| | - Theodoros Sklaviadis
- Neurodegenerative Diseases Research Group, Department of Pharmacy, School of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (E.K.); (K.X.); (T.S.)
| | - Dimitra Dafou
- Department of Genetics, Development, and Molecular Biology, School of Biology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;
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Kleinveld VEA, Keritam O, Horlings CGC, Cetin H, Wanschitz J, Hotter A, Zirch LS, Zimprich F, Topakian R, Müller P, Oel D, Quasthoff S, Erdler M, Rauschka H, Grinzinger S, Jecel J, Gaulhofer P, Castek B, Stadler K, Löscher WN. Multifocal motor neuropathy as a mimic of amyotrophic lateral sclerosis: Serum neurofilament light chain as a reliable diagnostic biomarker. Muscle Nerve 2024; 69:422-427. [PMID: 38334356 DOI: 10.1002/mus.28054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 01/18/2024] [Accepted: 01/21/2024] [Indexed: 02/10/2024]
Abstract
INTRODUCTION/AIMS The clinical presentation of multifocal motor neuropathy (MMN) may mimic early amyotrophic lateral sclerosis (ALS) with predominant lower motor neuron (LMN) involvement, posing a diagnostic challenge. Both diseases have specific treatments and prognoses, highlighting the importance of early diagnosis. The aim of this study was to assess the diagnostic value of serum neurofilament light chain (NfL) in differentiating MMN from LMN dominant ALS. METHODS NfL was measured in serum in n = 37 patients with MMN and n = 37 age- and sex-matched patients with LMN dominant ALS, to determine the diagnostic accuracy. Clinical and demographic data were obtained at the time of NfL sampling. RESULTS Serum NfL concentration was significantly lower in MMN patients compared to ALS patients (mean 20.7 pg/mL vs. 59.4 pg/mL, p < .01). NfL demonstrated good diagnostic value in discriminating the two groups (AUC 0.985 [95% CI 0.963-1.000], sensitivity 94.6%, specificity 100%, cut-off 44.00 pg/mL). DISCUSSION NfL could be a helpful tool in differentiating MMN from LMN dominant ALS in those patients in whom electrophysiological and clinical examinations remain inconclusive early in the diagnostic process.
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Affiliation(s)
- Vera E A Kleinveld
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Omar Keritam
- Department of Neurology, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | | | - Hakan Cetin
- Department of Neurology, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Julia Wanschitz
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Anna Hotter
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Laura S Zirch
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Fritz Zimprich
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Raffi Topakian
- Department of Neurology, Academic Teaching Hospital Wels-Grieskirchen, Wels, Austria
- Klinisches Forschungsinstitut Neurowissenschaften, Johannes Kepler UniversitätLinz, Linz, Austria
| | - Petra Müller
- Department of Neurology, Academic Teaching Hospital Wels-Grieskirchen, Wels, Austria
| | - Dierk Oel
- Department of Neurology, Academic Teaching Hospital Wels-Grieskirchen, Wels, Austria
| | - Stefan Quasthoff
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Marcus Erdler
- Department of Neurology, Karl Landsteiner Institute for Neuroimmunological and Neurodegenerative Disorders, Vienna, Austria
| | - Helmut Rauschka
- Department of Neurology, Karl Landsteiner Institute for Neuroimmunological and Neurodegenerative Disorders, Vienna, Austria
| | - Susanne Grinzinger
- Department of Neurology, Salzburger Landeskliniken, Paracelsus Medical University, Salzburg, Austria
| | - Julia Jecel
- Department of Neurology, KH Hietzing, Vienna, Austria
| | | | | | | | - Wolfgang N Löscher
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
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3
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Johnsson M, Zetterberg H, Blennow K, Lindberg C. Clinical stage and plasma neurofilament concentration in adults with Friedreich ataxia. Heliyon 2024; 10:e23347. [PMID: 38163227 PMCID: PMC10755300 DOI: 10.1016/j.heliyon.2023.e23347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 08/22/2023] [Accepted: 12/01/2023] [Indexed: 01/03/2024] Open
Abstract
Objectives Friedreich Ataxia (FRDA) is the most common recessive ataxia disorder. Yet, little is known of the prevalence in Sweden. In the future, there may be effective disease-modifying therapies, and use of clinical rating scales as well as possible biomarkers in serum or cerebrospinal fluid may be of importance. We evaluated the axonal protein neurofilament light in plasma (p-NfL) as a possible biomarker for disease severity in FRDA. Materials & methods We searched for all possible genetically confirmed FRDA cases in the Västra Götaland Region (VGR) of Sweden, and investigated each patient clinically and obtained blood sample for analysis of p-NfL. Results We found eight patients corresponding to 1/170.000 adults in the VGR, and 5 of these participated in the study. Three out of the five FRDA patients displayed a small or moderate increase in the p-NfL value, compared to the age-adjusted cut-offs for p-NfL established in the Clinical Neurochemistry Laboratory at our hospital. The two others were the oldest and most severely affected, displayed normal values according the cut-off values. The cohort is too small to make any statistically significant correlation between the five p-NfL values with regard to disease severity. Conclusions FRDA is less prevalent in our region of Sweden than could be assumed. In concordance with previous studies from other authors, we find that p-NfL may be increased in patients with FRDA, but less so in older more clinically affected patients. Thus, we conclude that on an individual basis, p-NFL is of uncertain clinical value as a suitable biomarker.
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Affiliation(s)
- Magnus Johnsson
- Department of Neurology, Sahlgrenska University Hospital, Gothenburg, 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, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
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Wang J, Wang J, Xie W, Liu J, Feng J, Wei W, Li M, Wu L, Wang C, Li R. Decipher potential biomarkers of diagnosis and disease activity for NMOSD with AQP4 using LC-MS/MS and Simoa. Int Immunopharmacol 2023; 116:109761. [PMID: 36709595 DOI: 10.1016/j.intimp.2023.109761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 12/17/2022] [Accepted: 01/18/2023] [Indexed: 01/30/2023]
Abstract
BACKGROUND Neuromyelitis optica spectrum disorders (NMOSD) is an autoimmune demyelinating disease, leading recurrently relapses and severe disability. There is a need for new biomarkers to meet clinical needs in diagnosis and monitoring. METHODS Through liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS) analysis, brain lesions from NMO animal models were analyzed to identify potential biomarkers. Then, we assessed the levels of serum glial fibrillary acidic protein (sGFAP), neurofilament light chain (sNfL), Tau protein (sTau) and Ubiquitin C-terminal hydrolase L1 (sUCHL1) using an ultrasensitive single molecule array (Simoa) of AQP4-IgG + NMOSD patients, myelin oligodendrocyte glycoprotein antibody-associated disorder (MOGAD) patients, multiple sclerosis (MS) patients and healthy controls (HCs). Additionally, we further explored the early diagnosis value of these proteins. RESULTS There were 72 differentially expressed proteins between the NMO and control groups. NfL abundance was elevated when GFAP, UCHL1, and Tau abundance was decreased in the NMO group. Then, we observed that the sGFAP and sUCHL1 levels in patients with NMOSD in the early stage were significantly increased compared to those in control participants. Combined ROCs of the sGFAP, sNfL, and sUCHL1 levels to better predict NMOSD with relapse stages was optimal. Notably, univariate and multivariate analyses demonstrated that the sGFAP and sNfL levels were higher in patients with brain lesions, while the sUCHL1 levels were higher in those with spinal cord lesions during recent relapse. CONCLUSIONS These findings suggested that sGFAP, sNfL, and sUCHL1 displayed good diagnostic performance in AQP4-IgG + NMOSD and could be novel candidates for early discrimination.
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Affiliation(s)
- Jinyang Wang
- Department of Laboratory Medicine, the First Medical Centre of Chinese PLA General Hospital, Beijing 100853, China; School of Laboratory Medicine, Weifang Medical College, Weifang, Shandong 261053, China
| | - Jianan Wang
- Department of Laboratory Medicine, the First Medical Centre of Chinese PLA General Hospital, Beijing 100853, China; Medical School of Chinese PLA, Beijing 100853, China
| | - Wei Xie
- Department of Neurology, the First Medical Centre of Chinese PLA General Hospital, Beijing 100853, China
| | - Jiayu Liu
- Department of Laboratory Medicine, the First Medical Centre of Chinese PLA General Hospital, Beijing 100853, China
| | - Jie Feng
- Department of Laboratory Medicine, the First Medical Centre of Chinese PLA General Hospital, Beijing 100853, China
| | - Wenbin Wei
- Department of Laboratory Medicine, the First Medical Centre of Chinese PLA General Hospital, Beijing 100853, China
| | - Mianyang Li
- Department of Laboratory Medicine, the First Medical Centre of Chinese PLA General Hospital, Beijing 100853, China
| | - Lei Wu
- Department of Neurology, the First Medical Centre of Chinese PLA General Hospital, Beijing 100853, China.
| | - Chengbin Wang
- Department of Laboratory Medicine, the First Medical Centre of Chinese PLA General Hospital, Beijing 100853, China; School of Laboratory Medicine, Weifang Medical College, Weifang, Shandong 261053, China; Medical School of Chinese PLA, Beijing 100853, China.
| | - Ruibing Li
- Department of Laboratory Medicine, the First Medical Centre of Chinese PLA General Hospital, Beijing 100853, China.
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Yang J, Wang P, Jiang X, Xu J, Zhang M, Liu F, Lin Y, Tao J, He J, Zhou X, Zhang M. A Nanotherapy of Octanoic Acid Ameliorates Cardiac Arrest/Cardiopulmonary Resuscitation-Induced Brain Injury via RVG29- and Neutrophil Membrane-Mediated Injury Relay Targeting. ACS NANO 2023; 17:3528-3548. [PMID: 36758159 DOI: 10.1021/acsnano.2c09931] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Treatment of cardiac arrest/cardiopulmonary resuscitation (CA/CPR)-induced brain injury remains a challenging issue without viable therapeutic options. Octanoic acid (OA), a lipid oil that is mainly metabolized in the astrocytes of the brain, is a promising treatment for this type of injury owing to its potential functions against oxidative stress, apoptosis, inflammation, and ability to stabilize mitochondria. However, the application of OA is strictly limited by its short half-life and low available concentration in the target organ. Herein, based on our previous research, an OA-based nanotherapy coated with a neutrophil membrane highly expressing RVG29, RVG29-H-NPOA, was successfully constructed by computer simulation-guided supramolecular assembly of polyethylenimine and OA. The in vitro and in vivo experiments showed that RVG29-H-NPOA could target and be distributed in the injured brain focus via the relay-targeted delivery mediated by RVG29-induced blood-brain barrier (BBB) penetration and neutrophil membrane protein-induced BBB binding and injury targeting. This results in enhancements of the antioxidant, antiapoptotic, mitochondrial stability-promoting and anti-inflammatory effects of OA and exhibited systematic alleviation of astrocyte injury, neuronal damage, and inflammatory response in the brain. Due to their systematic intervention in multiple pathological processes, RVG29-H-NPOA significantly increased the 24 h survival rate of CA/CPR model rats from 40% to 100% and significantly improved their neurological functions. Thus, RVG29-H-NPOA are expected to be a promising therapeutic for the treatment of CA/CPR-induced brain injury.
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Affiliation(s)
- Jingyuan Yang
- Department of Emergency Medicine, Second Affiliated Hospital of Zhejiang University, Key Laboratory of The Diagnosis and Treatment of Severe Trauma and Burns of Zhejiang Province, Clinical Research Center for Emergency and Critical Care Medicine of Zhejiang Province, Hangzhou 310009, China
| | - Pan Wang
- School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing 400054, China
| | - Xiangkang Jiang
- Department of Emergency Medicine, Second Affiliated Hospital of Zhejiang University, Key Laboratory of The Diagnosis and Treatment of Severe Trauma and Burns of Zhejiang Province, Clinical Research Center for Emergency and Critical Care Medicine of Zhejiang Province, Hangzhou 310009, China
| | - Jiefeng Xu
- Department of Emergency Medicine, Second Affiliated Hospital of Zhejiang University, Key Laboratory of The Diagnosis and Treatment of Severe Trauma and Burns of Zhejiang Province, Clinical Research Center for Emergency and Critical Care Medicine of Zhejiang Province, Hangzhou 310009, China
| | - Minhai Zhang
- Department of Emergency Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - Fei Liu
- Department of Emergency Medicine, Second Affiliated Hospital of Zhejiang University, Key Laboratory of The Diagnosis and Treatment of Severe Trauma and Burns of Zhejiang Province, Clinical Research Center for Emergency and Critical Care Medicine of Zhejiang Province, Hangzhou 310009, China
| | - Yao Lin
- Department of Emergency Medicine, Second Affiliated Hospital of Zhejiang University, Key Laboratory of The Diagnosis and Treatment of Severe Trauma and Burns of Zhejiang Province, Clinical Research Center for Emergency and Critical Care Medicine of Zhejiang Province, Hangzhou 310009, China
| | - Jiawei Tao
- Department of Emergency Medicine, Second Affiliated Hospital of Zhejiang University, Key Laboratory of The Diagnosis and Treatment of Severe Trauma and Burns of Zhejiang Province, Clinical Research Center for Emergency and Critical Care Medicine of Zhejiang Province, Hangzhou 310009, China
| | - Jiantao He
- Department of Emergency Medicine, Second Affiliated Hospital of Zhejiang University, Key Laboratory of The Diagnosis and Treatment of Severe Trauma and Burns of Zhejiang Province, Clinical Research Center for Emergency and Critical Care Medicine of Zhejiang Province, Hangzhou 310009, China
| | - Xing Zhou
- School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing 400054, China
| | - Mao Zhang
- Department of Emergency Medicine, Second Affiliated Hospital of Zhejiang University, Key Laboratory of The Diagnosis and Treatment of Severe Trauma and Burns of Zhejiang Province, Clinical Research Center for Emergency and Critical Care Medicine of Zhejiang Province, Hangzhou 310009, China
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Muppidi P, Wright E, Wassmer SC, Gupta H. Diagnosis of cerebral malaria: Tools to reduce Plasmodium falciparum associated mortality. Front Cell Infect Microbiol 2023; 13:1090013. [PMID: 36844403 PMCID: PMC9947298 DOI: 10.3389/fcimb.2023.1090013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 01/24/2023] [Indexed: 02/11/2023] Open
Abstract
Cerebral malaria (CM) is a major cause of mortality in Plasmodium falciparum (Pf) infection and is associated with the sequestration of parasitised erythrocytes in the microvasculature of the host's vital organs. Prompt diagnosis and treatment are key to a positive outcome in CM. However, current diagnostic tools remain inadequate to assess the degree of brain dysfunction associated with CM before the window for effective treatment closes. Several host and parasite factor-based biomarkers have been suggested as rapid diagnostic tools with potential for early CM diagnosis, however, no specific biomarker signature has been validated. Here, we provide an updated review on promising CM biomarker candidates and evaluate their applicability as point-of-care tools in malaria-endemic areas.
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Affiliation(s)
- Pranavi Muppidi
- Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Emily Wright
- Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Samuel C. Wassmer
- Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Himanshu Gupta
- Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Department of Biotechnology, Institute of Applied Sciences & Humanities, GLA University, Mathura, UP, India
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Alvarez M, Trent E, Goncalves BDS, Pereira DG, Puri R, Frazier NA, Sodhi K, Pillai SS. Cognitive dysfunction associated with COVID-19: Prognostic role of circulating biomarkers and microRNAs. Front Aging Neurosci 2022; 14:1020092. [PMID: 36268187 PMCID: PMC9577202 DOI: 10.3389/fnagi.2022.1020092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 09/13/2022] [Indexed: 01/08/2023] Open
Abstract
COVID-19 is renowned as a multi-organ disease having subacute and long-term effects with a broad spectrum of clinical manifestations. The evolving scientific and clinical evidence demonstrates that the frequency of cognitive impairment after COVID-19 is high and it is crucial to explore more clinical research and implement proper diagnostic and treatment strategies. Several central nervous system complications have been reported as comorbidities of COVID-19. The changes in cognitive function associated with neurodegenerative diseases develop slowly over time and are only diagnosed at an already advanced stage of molecular pathology. Hence, understanding the common links between COVID-19 and neurodegenerative diseases will broaden our knowledge and help in strategizing prognostic and therapeutic approaches. The present review focuses on the diverse neurodegenerative changes associated with COVID-19 and will highlight the importance of major circulating biomarkers and microRNAs (miRNAs) associated with the disease progression and severity. The literature analysis showed that major proteins associated with central nervous system function, such as Glial fibrillary acidic protein, neurofilament light chain, p-tau 181, Ubiquitin C-terminal hydrolase L1, S100 calcium-binding protein B, Neuron-specific enolase and various inflammatory cytokines, were significantly altered in COVID-19 patients. Furthermore, among various miRNAs that are having pivotal roles in various neurodegenerative diseases, miR-146a, miR-155, Let-7b, miR-31, miR-16 and miR-21 have shown significant dysregulation in COVID-19 patients. Thus the review consolidates the important findings from the numerous studies to unravel the underlying mechanism of neurological sequelae in COVID-19 and the possible association of circulatory biomarkers, which may serve as prognostic predictors and therapeutic targets in future research.
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Affiliation(s)
| | | | | | | | | | | | | | - Sneha S. Pillai
- Department of Surgery, Biomedical Sciences and Medicine, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, United States
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Lotz-Havla AS, Katzdobler S, Nuscher B, Weiß K, Levin J, Havla J, Maier EM. Serum glial fibrillary acidic protein and neurofilament light chain in patients with early treated phenylketonuria. Front Neurol 2022; 13:1011470. [PMID: 36247773 PMCID: PMC9559705 DOI: 10.3389/fneur.2022.1011470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 09/12/2022] [Indexed: 12/01/2022] Open
Abstract
To pave the way for healthy aging in early treated phenylketonuria (ETPKU) patients, a better understanding of the neurological course in this population is needed, requiring easy accessible biomarkers to monitor neurological disease progression in large cohorts. The objective of this pilot study was to investigate the potential of glial fibrillary acidic protein (GFAP) and neurofilament light chain (NfL) as blood biomarkers to indicate changes of the central nervous system in ETPKU. In this single-center cross-sectional study, GFAP and NfL concentrations in serum were quantified using the Simoa® multiplex technology in 56 ETPKU patients aged 6–36 years and 16 age matched healthy controls. Correlation analysis and hierarchical linear regression analysis were performed to investigate an association with disease-related biochemical parameters and retinal layers assessed by optical coherence tomography. ETPKU patients did not show significantly higher GFAP concentrations (mean 73 pg/ml) compared to healthy controls (mean 60 pg/ml, p = 0.140). However, individual pediatric and adult ETPKU patients had GFAP concentrations above the healthy control range. In addition, there was a significant association of GFAP concentrations with current plasma tyrosine concentrations (r = −0.482, p = 0.036), a biochemical marker in phenylketonuria, and the retinal inner nuclear layer volume (r = 0.451, p = 0.04). There was no evidence of NfL alterations in our ETPKU cohort. These pilot results encourage multicenter longitudinal studies to further investigate serum GFAP as a complementary tool to better understand and monitor neurological disease progression in ETPKU. Follow-up investigations on aging ETPKU patients are required to elucidate the potential of serum NfL as biomarker.
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Affiliation(s)
- Amelie S. Lotz-Havla
- Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, LMU Munich, Munich, Germany
| | - Sabrina Katzdobler
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany
| | - Brigitte Nuscher
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany
| | - Katharina Weiß
- Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, LMU Munich, Munich, Germany
| | - Johannes Levin
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases, site Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Joachim Havla
- Institute of Clinical Neuroimmunology, University Hospital, LMU Munich, Munich, Germany
- Data Integration for Future Medicine (DIFUTURE) Consortium, LMU Munich, Munich, Germany
- *Correspondence: Joachim Havla
| | - Esther M. Maier
- Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, LMU Munich, Munich, Germany
- Esther M. Maier
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Tybirk L, Hviid CVB, Knudsen CS, Parkner T. Serum GFAP - reference interval and preanalytical properties in Danish adults. Clin Chem Lab Med 2022; 60:1830-1838. [PMID: 36067832 DOI: 10.1515/cclm-2022-0646] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 08/24/2022] [Indexed: 11/15/2022]
Abstract
OBJECTIVES Glial fibrillary acidic protein (GFAP) is a promising biomarker that could potentially contribute to diagnosis and prognosis in neurological diseases. The biomarker is approaching clinical use but the reference interval for serum GFAP remains to be established, and knowledge about the effect of preanalytical factors is also limited. METHODS Serum samples from 371 apparently healthy reference subjects, 21-90 years of age, were measured by a single-molecule array (Simoa) assay. Continuous reference intervals were modelled using non-parametric quantile regression and compared with traditional age-partitioned non-parametric reference intervals established according to the Clinical and Laboratory Standards Institute (CLSI) guideline C28-A3. The following preanalytical conditions were also examined: stability in whole blood at room temperature (RT), stability in serum at RT and -20 °C, repeated freeze-thaw cycles, and haemolysis. RESULTS The continuous reference interval showed good overall agreement with the traditional age-partitioned reference intervals of 25-136 ng/L, 34-242 ng/L, and 5-438 ng/L for the age groups 20-39, 40-64, and 65-90 years, respectively. Both types of reference intervals showed increasing levels and variability of serum GFAP with age. In the preanalytical tests, the mean changes from baseline were 2.3% (95% CI: -2.4%, 6.9%) in whole blood after 9 h at RT, 3.1% (95% CI: -4.5%, 10.7%) in serum after 7 days at RT, 10.4% (95% CI: -6.0%, 26.8%) in serum after 133 days at -20 °C, and 10.4% (95% CI: 9.5%, 11.4%) after three freeze-thaw cycles. CONCLUSIONS The study establishes age-dependent reference ranges for serum GFAP in adults and demonstrates overall good stability of the biomarker.
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Affiliation(s)
- Lea Tybirk
- Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark
| | - Claus Vinter Bødker Hviid
- Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | | | - Tina Parkner
- Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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10
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Garcia‐Moreno H, Prudencio M, Thomas‐Black G, Solanky N, Jansen‐West KR, Hanna AL‐Shaikh R, Heslegrave A, Zetterberg H, Santana MM, Pereira de Almeida L, Vasconcelos‐Ferreira A, Januário C, Infante J, Faber J, Klockgether T, Reetz K, Raposo M, Ferreira AF, Lima M, Schöls L, Synofzik M, Hübener‐Schmid J, Puschmann A, Gorcenco S, Wszolek ZK, Petrucelli L, Giunti P. Tau and neurofilament light-chain as fluid biomarkers in spinocerebellar ataxia type 3. Eur J Neurol 2022; 29:2439-2452. [PMID: 35478426 PMCID: PMC9543545 DOI: 10.1111/ene.15373] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 04/06/2022] [Accepted: 04/24/2022] [Indexed: 01/02/2023]
Abstract
BACKGROUND AND PURPOSE Clinical trials in spinocerebellar ataxia type 3 (SCA3) will require biomarkers for use as outcome measures. METHODS To evaluate total tau (t-tau), glial fibrillary acidic protein (GFAP), ubiquitin carboxy-terminal hydrolase L1 (UCHL1) and neurofilament light-chain (NfL) as fluid biomarkers in SCA3, ATXN3 mutation carriers (n = 143) and controls (n = 172) were clinically assessed, and the plasma concentrations of the four proteins were analysed on the Simoa HD-1 platform. Eleven ATXN3 mutation carrier cerebrospinal fluid samples were analysed for t-tau and phosphorylated tau (p-tau181 ). A transgenic SCA3 mouse model (MJDTg) was used to measure cerebellar t-tau levels. RESULTS Plasma t-tau levels were higher in mutation carriers below the age of 50 compared to controls, and the Inventory of Non-Ataxia Signs was associated with t-tau in ataxic patients (p = 0.004). Pre-ataxic carriers showed higher cerebrospinal fluid t-tau and p-tau181 concentrations compared to ataxic patients (p = 0.025 and p = 0.014, respectively). Cerebellar t-tau was elevated in MJDTg mice compared to wild-type (p = 0.033) only in the early stages of the disease. GFAP and UCHL1 did not show higher levels in mutation carriers compared to controls. Plasma NfL concentrations were higher in mutation carriers compared to controls, and differences were greater for younger carriers. The Scale for the Assessment and Rating of Ataxia was the strongest predictor of NfL in ataxic patients (p < 0.001). CONCLUSION Our results suggest that tau might be a marker of early disease stages in SCA3. NfL can discriminate mutation carriers from controls and is associated with different clinical variables. Longitudinal studies are required to confirm their potential role as biomarkers in clinical trials.
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Affiliation(s)
- Hector Garcia‐Moreno
- Ataxia CentreDepartment of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK,Department of NeurogeneticsNational Hospital for Neurology and NeurosurgeryUniversity College London Hospitals NHS Foundation TrustLondonUK
| | - Mercedes Prudencio
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA,Neuroscience Graduate ProgramMayo Clinic Graduate School of Biomedical SciencesJacksonvilleFloridaUSA
| | - Gilbert Thomas‐Black
- Ataxia CentreDepartment of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK,Department of NeurogeneticsNational Hospital for Neurology and NeurosurgeryUniversity College London Hospitals NHS Foundation TrustLondonUK
| | - Nita Solanky
- Ataxia CentreDepartment of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK,Department of NeurogeneticsNational Hospital for Neurology and NeurosurgeryUniversity College London Hospitals NHS Foundation TrustLondonUK
| | | | | | - Amanda Heslegrave
- Department of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK,UK Dementia Research Institute at UCLLondonUK
| | - Henrik Zetterberg
- Department of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK,UK Dementia Research Institute at UCLLondonUK,Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Sahlgrenska Academy at the University of GothenburgMölndalSweden,Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - Magda M. Santana
- Center for Neuroscience and Cell BiologyUniversity of CoimbraCoimbraPortugal
| | | | | | | | - Jon Infante
- Neurology ServiceUniversity Hospital Marqués de Valdecilla‐IDIVALUniversity of CantabriaCentro de Investigación en Red de Enfermedades Neurodegenerativas (CIBERNED)SantanderSpain
| | - Jennifer Faber
- Department of NeurologyUniversity Hospital BonnBonnGermany,German Center for Neurodegenerative Diseases (DZNE)BonnGermany
| | - Thomas Klockgether
- Department of NeurologyUniversity Hospital BonnBonnGermany,German Center for Neurodegenerative Diseases (DZNE)BonnGermany
| | - Kathrin Reetz
- Department of NeurologyRWTH Aachen UniversityAachenGermany,JARA‐BRAIN Institute Molecular Neuroscience and NeuroimagingForschungszentrum JülichRWTH Aachen UniversityAachenGermany
| | - Mafalda Raposo
- Faculdade de Ciências e TecnologiaUniversidade dos AçoresPonta DelgadaPortugal,Instituto de Biologia Molecular e Celular (IBMC)Instituto de Investigação e Inovação em Saúde (i3S)Universidade do PortoPortoPortugal
| | - Ana F. Ferreira
- Faculdade de Ciências e TecnologiaUniversidade dos AçoresPonta DelgadaPortugal,Instituto de Biologia Molecular e Celular (IBMC)Instituto de Investigação e Inovação em Saúde (i3S)Universidade do PortoPortoPortugal
| | - Manuela Lima
- Faculdade de Ciências e TecnologiaUniversidade dos AçoresPonta DelgadaPortugal,Instituto de Biologia Molecular e Celular (IBMC)Instituto de Investigação e Inovação em Saúde (i3S)Universidade do PortoPortoPortugal
| | - Ludger Schöls
- Department for Neurodegenerative DiseasesHertie‐Institute for Clinical Brain Research and Center for NeurologyUniversity of TübingenTübingenGermany,German Center for Neurodegenerative Diseases (DZNE)TübingenGermany
| | - Matthis Synofzik
- Department for Neurodegenerative DiseasesHertie‐Institute for Clinical Brain Research and Center for NeurologyUniversity of TübingenTübingenGermany,German Center for Neurodegenerative Diseases (DZNE)TübingenGermany
| | | | - Andreas Puschmann
- Lund University, Skåne University HospitalClinical Sciences, NeurologyLundSweden
| | - Sorina Gorcenco
- Lund University, Skåne University HospitalClinical Sciences, NeurologyLundSweden
| | | | - Leonard Petrucelli
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA,Neuroscience Graduate ProgramMayo Clinic Graduate School of Biomedical SciencesJacksonvilleFloridaUSA
| | - Paola Giunti
- Ataxia CentreDepartment of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyUniversity College LondonLondonUK,Department of NeurogeneticsNational Hospital for Neurology and NeurosurgeryUniversity College London Hospitals NHS Foundation TrustLondonUK
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11
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Neuroinflammation in Friedreich's Ataxia. Int J Mol Sci 2022; 23:ijms23116297. [PMID: 35682973 PMCID: PMC9181348 DOI: 10.3390/ijms23116297] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 06/01/2022] [Accepted: 06/02/2022] [Indexed: 12/24/2022] Open
Abstract
Friedreich's ataxia (FRDA) is a rare genetic disorder caused by mutations in the gene frataxin, encoding for a mitochondrial protein involved in iron handling and in the biogenesis of iron-sulphur clusters, and leading to progressive nervous system damage. Although the overt manifestations of FRDA in the nervous system are mainly observed in the neurons, alterations in non-neuronal cells may also contribute to the pathogenesis of the disease, as recently suggested for other neurodegenerative disorders. In FRDA, the involvement of glial cells can be ascribed to direct effects caused by frataxin loss, eliciting different aberrant mechanisms. Iron accumulation, mitochondria dysfunction, and reactive species overproduction, mechanisms identified as etiopathogenic in neurons in FRDA, can similarly affect glial cells, leading them to assume phenotypes that can concur to and exacerbate neuron loss. Recent findings obtained in FRDA patients and cellular and animal models of the disease have suggested that neuroinflammation can accompany and contribute to the neuropathology. In this review article, we discuss evidence about the involvement of neuroinflammatory-related mechanisms in models of FRDA and provide clues for the modulation of glial-related mechanisms as a possible strategy to improve disease features.
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12
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Serum glial fibrillary acidic protein is a body fluid biomarker: A valuable prognostic for neurological disease – A systematic review. Int Immunopharmacol 2022; 107:108624. [DOI: 10.1016/j.intimp.2022.108624] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Revised: 01/28/2022] [Accepted: 02/10/2022] [Indexed: 12/14/2022]
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13
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Eisenstein SA, Boodram RS, Sutphen CL, Lugar HM, Gordon BA, Marshall BA, Urano F, Fagan AM, Hershey T. Plasma Neurofilament Light Chain Levels Are Elevated in Children and Young Adults With Wolfram Syndrome. Front Neurosci 2022; 16:795317. [PMID: 35495027 PMCID: PMC9039397 DOI: 10.3389/fnins.2022.795317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 03/04/2022] [Indexed: 11/23/2022] Open
Abstract
Wolfram syndrome is a rare disease caused by pathogenic variants in the WFS1 gene with progressive neurodegeneration. As an easily accessible biomarker of progression of neurodegeneration has not yet been found, accurate tracking of the neurodegenerative process over time requires assessment by costly and time-consuming clinical measures and brain magnetic resonance imaging (MRI). A blood-based measure of neurodegeneration, neurofilament light chain (NfL), is relatively inexpensive and can be repeatedly measured at remote sites, standardized, and measured in individuals with MRI contraindications. To determine whether NfL levels may be of use in disease monitoring and reflect disease activity in Wolfram syndrome, plasma NfL levels were compared between children and young adults with Wolfram syndrome (n = 38) and controls composed of their siblings and parents (n = 35) and related to clinical severity and selected brain region volumes within the Wolfram group. NfL levels were higher in the Wolfram group [median (interquartile range) NfL = 11.3 (7.8-13.9) pg/mL] relative to controls [5.6 (4.5-7.4) pg/mL]. Within the Wolfram group, higher NfL levels related to worse visual acuity, color vision and smell identification, smaller brainstem and thalamic volumes, and faster annual rate of decrease in thalamic volume over time. Our findings suggest that plasma NfL levels can be a powerful tool to non-invasively assess underlying neurodegenerative processes in children, adolescents and young adults with Wolfram syndrome.
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Affiliation(s)
- Sarah A. Eisenstein
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States
| | - Raveena S. Boodram
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
| | - Courtney L. Sutphen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
| | - Heather M. Lugar
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
| | - Brian A. Gordon
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States
- Charles F. and Joanne Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, St. Louis, MO, United States
| | - Bess A. Marshall
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, United States
- Department of Cell Biology, Washington University School of Medicine, St. Louis, MO, United States
| | - Fumihiko Urano
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, United States
- Division of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine, St. Louis, MO, United States
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, United States
| | - Anne M. Fagan
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
- Charles F. and Joanne Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, St. Louis, MO, United States
- Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States
| | - Tamara Hershey
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
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14
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Jansen-West K, Todd TW, Daughrity LM, Yue M, Tong J, Carlomagno Y, Del Rosso G, Kurti A, Jones CY, Dunmore JA, Castanedes-Casey M, Dickson DW, Wszolek ZK, Fryer JD, Petrucelli L, Prudencio M. Plasma PolyQ-ATXN3 Levels Associate With Cerebellar Degeneration and Behavioral Abnormalities in a New AAV-Based SCA3 Mouse Model. Front Cell Dev Biol 2022; 10:863089. [PMID: 35386195 PMCID: PMC8977414 DOI: 10.3389/fcell.2022.863089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 02/22/2022] [Indexed: 11/13/2022] Open
Abstract
Spinocerebellar ataxia type 3 (SCA3) is a dominantly inherited cerebellar ataxia caused by the expansion of a polyglutamine (polyQ) repeat in the gene encoding ATXN3. The polyQ expansion induces protein inclusion formation in the neurons of patients and results in neuronal degeneration in the cerebellum and other brain regions. We used adeno-associated virus (AAV) technology to develop a new mouse model of SCA3 that recapitulates several features of the human disease, including locomotor defects, cerebellar-specific neuronal loss, polyQ-expanded ATXN3 inclusions, and TDP-43 pathology. We also found that neurofilament light is elevated in the cerebrospinal fluid (CSF) of the SCA3 animals, and the expanded polyQ-ATXN3 protein can be detected in the plasma. Interestingly, the levels of polyQ-ATXN3 in plasma correlated with measures of cerebellar degeneration and locomotor deficits in 6-month-old SCA3 mice, supporting the hypothesis that this factor could act as a biomarker for SCA3.
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Affiliation(s)
- Karen Jansen-West
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
| | - Tiffany W. Todd
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
- Neurobiology of Disease Graduate Program, Mayo Graduate School, Mayo Clinic College of Medicine, Rochester, MN, United States
| | | | - Mei Yue
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
| | - Jimei Tong
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
| | - Yari Carlomagno
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
- Neurobiology of Disease Graduate Program, Mayo Graduate School, Mayo Clinic College of Medicine, Rochester, MN, United States
| | - Giulia Del Rosso
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
- Neurobiology of Disease Graduate Program, Mayo Graduate School, Mayo Clinic College of Medicine, Rochester, MN, United States
| | - Aishe Kurti
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
| | - Caroline Y. Jones
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
| | - Judith A. Dunmore
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
| | | | - Dennis W. Dickson
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
- Neurobiology of Disease Graduate Program, Mayo Graduate School, Mayo Clinic College of Medicine, Rochester, MN, United States
| | | | - John D. Fryer
- Neurobiology of Disease Graduate Program, Mayo Graduate School, Mayo Clinic College of Medicine, Rochester, MN, United States
- Department of Neuroscience, Mayo Clinic, Scottsdale, AZ, United States
| | - Leonard Petrucelli
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
- Neurobiology of Disease Graduate Program, Mayo Graduate School, Mayo Clinic College of Medicine, Rochester, MN, United States
| | - Mercedes Prudencio
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
- Neurobiology of Disease Graduate Program, Mayo Graduate School, Mayo Clinic College of Medicine, Rochester, MN, United States
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15
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Ren AH, Diamandis EP, Kulasingam V. Uncovering the Depths of the Human Proteome: Antibody-based Technologies for Ultrasensitive Multiplexed Protein Detection and Quantification. Mol Cell Proteomics 2021; 20:100155. [PMID: 34597790 PMCID: PMC9357438 DOI: 10.1016/j.mcpro.2021.100155] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 09/01/2021] [Accepted: 09/25/2021] [Indexed: 12/20/2022] Open
Abstract
Probing the human proteome in tissues and biofluids such as plasma is attractive for biomarker and drug target discovery. Recent breakthroughs in multiplex, antibody-based, proteomics technologies now enable the simultaneous quantification of thousands of proteins at as low as sub fg/ml concentrations with remarkable dynamic ranges of up to 10-log. We herein provide a comprehensive guide to the methodologies, performance, technical comparisons, advantages, and disadvantages of established and emerging technologies for the multiplexed ultrasensitive measurement of proteins. Gaining holistic knowledge on these innovations is crucial for choosing the right multiplexed proteomics tool for applications at hand to critically complement traditional proteomics methods. This can bring researchers closer than ever before to elucidating the intricate inner workings and cross talk that spans multitude of proteins in disease mechanisms.
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Affiliation(s)
- Annie H Ren
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada
| | - Eleftherios P Diamandis
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada; Department of Clinical Biochemistry, University Health Network, Toronto, Canada
| | - Vathany Kulasingam
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada; Department of Clinical Biochemistry, University Health Network, Toronto, Canada.
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16
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Turski CA, Turski GN, Faber J, Teipel SJ, Holz FG, Klockgether T, Finger RP. Microvascular Breakdown Due to Retinal Neurodegeneration in Ataxias. Mov Disord 2021; 37:162-170. [PMID: 34533237 DOI: 10.1002/mds.28791] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 08/09/2021] [Accepted: 08/26/2021] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Neurodegenerative ataxias are devastating disorders of the cerebellum and spinal cord, accompanied by death of retinal ganglion cells, leading to relentlessly progressive decline of motor coordination and permanent disability. Retinal microvascular affection has not yet been determined. OBJECTIVES The aim of this study is to assess whether retinal microvascular alterations occur and, if so, whether they are concurrent with or follow cell death in the retina in neurodegenerative diseases. METHODS This study involves the cross-sectional observational study of 43 patients with ataxia and 43 controls enrolled from August 1, 2018, to September 30, 2020. The extent of ataxia was determined by the Scale for the Assessment and Rating of Ataxia. Changes in retinal vasculature were examined by optical coherence tomography angiography (OCT-A) and retinal cell and fiber density by OCT in ataxias concurrently. RESULTS When comparing the ataxia cohort with healthy subjects, ataxia patients exhibited reduced vessel density in the radial peripapillary capillary (RPC) network (P = 0.005), capillary density inside the optic nerve head (cdONH) (P < 0.001), nasal superficial vascular plexus (P = 0.03) as well as reduced ganglion cell layer (GCL) volume (P = 0.04), and temporal peripapillary retinal nerve fiber layer thickness (P = 0.04). Mixed effect analysis modeling laterality confirmed these findings. CONCLUSIONS These findings demonstrate a distinct pattern of concurrent changes in vessel density of the retinal superficial vascular complex, encompassing the superficial vascular plexus, RPC network and cdONH, and retinal GCL volume, providing new insights into the ongoing degeneration in ataxias. Our findings may have relevance for design of novel therapeutic approaches for ataxias and possibly other neurodegenerative diseases.
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Affiliation(s)
- Christopher A Turski
- Department of Ophthalmology, University of Bonn, Bonn, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Gabrielle N Turski
- Department of Ophthalmology, University of Bonn, Bonn, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Jennifer Faber
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurology, University of Bonn, Bonn, Germany
| | - Stefan J Teipel
- Department of Psychosomatic Medicine, University of Rostock, Rostock, Germany.,German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
| | - Frank G Holz
- Department of Ophthalmology, University of Bonn, Bonn, Germany
| | - Thomas Klockgether
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurology, University of Bonn, Bonn, Germany
| | - Robert P Finger
- Department of Ophthalmology, University of Bonn, Bonn, Germany
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17
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Peng L, Wang S, Chen Z, Peng Y, Wang C, Long Z, Peng H, Shi Y, Hou X, Lei L, Wan L, Liu M, Zou G, Shen L, Xia K, Qiu R, Tang B, Ashizawa T, Klockgether T, Jiang H. Blood Neurofilament Light Chain in Genetic Ataxia: A Meta-Analysis. Mov Disord 2021; 37:171-181. [PMID: 34519102 DOI: 10.1002/mds.28783] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 07/20/2021] [Accepted: 08/23/2021] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND No comprehensive meta-analysis has ever been performed to assess the value of neurofilament light chain (NfL) as a biomarker in genetic ataxia. OBJECTIVE We conducted a meta-analysis to summarize NfL concentration and evaluate its utility as a biomarker in genetic ataxia. METHODS Studies were included if they reported NfL concentration of genetic ataxia. We used log (mean ± SD) NfL to describe mean raw value of NfL. The effect size of NfL between genetic ataxia and healthy controls (HC) was expressed by mean difference. Correlation between NfL and disease severity was calculated. RESULTS We identified 11 studies of 624 HC and 1006 patients, here referred to as spinocerebellar ataxia (SCA1, 2, 3, 6, and 7), Friedreich ataxia (FRDA), and ataxia telangiectasia (A-T). The concentration of blood NfL (bNfL) elevated with proximity to expected onset, and progressively increased from asymptomatic to preclinical to clinical stage in SCA3. Compared with HC, bNfL levels were significantly higher in SCA1, 2, 3, and 7, FRDA, as well as A-T, and the difference increased with the advancing disease in SCA3. bNfL levels correlated with disease severity in SCA3. There was a significant correlation between bNfL and longitudinal progression in SCA3. Additionally, bNfL increased with age in HC, yet this is probably masked by higher disease-related effects on bNfL in genetic ataxia. CONCLUSIONS bNfL can be used as a potential biomarker to predict disease onset, severity, and progression of genetic ataxia. Reference-value setting of bNfL should be divided according to age. © 2021 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Linliu Peng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Shang Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Zhao Chen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
| | - Yun Peng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Chunrong Wang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, China
| | - Zhe Long
- Department of Neurology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Huirong Peng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Yuting Shi
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xuan Hou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Lijing Lei
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Linlin Wan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Mingjie Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Guangdong Zou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Lu Shen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
| | - Kun Xia
- Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, China.,Hunan Key Laboratory of Medical Genetics, Central South University, Changsha, China
| | - Rong Qiu
- School of Computer Science and Engineering, Central South University, Changsha, China
| | - Beisha Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China
| | - Tetsuo Ashizawa
- Neuroscience Research Program, Houston Methodist Research Institute, Houston, Texas, USA.,Stanley H. Appel Department of Neurology, Weill Cornell Medicine at Houston Methodist Hospital, Houston, Texas, USA
| | - Thomas Klockgether
- Department of Neurology, University of Bonn, Bonn, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Hong Jiang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Neurodegenerative and Neurogenetic Diseases, Changsha, China.,School of Basic Medical Science, Central South University, Changsha, China
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18
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Prudencio M, Garcia-Moreno H, Jansen-West KR, Al-Shaikh RH, Gendron TF, Heckman MG, Spiegel MR, Carlomagno Y, Daughrity LM, Song Y, Dunmore JA, Byron N, Oskarsson B, Nicholson KA, Staff NP, Gorcenco S, Puschmann A, Lemos J, Januário C, LeDoux MS, Friedman JH, Polke J, Labrum R, Shakkottai V, McLoughlin HS, Paulson HL, Konno T, Onodera O, Ikeuchi T, Tada M, Kakita A, Fryer JD, Karremo C, Gomes I, Caviness JN, Pittelkow MR, Aasly J, Pfeiffer RF, Veerappan V, Eggenberger ER, Freeman WD, Huang JF, Uitti RJ, Wierenga KJ, Marin Collazo IV, Tipton PW, van Gerpen JA, van Blitterswijk M, Bu G, Wszolek ZK, Giunti P, Petrucelli L. Toward allele-specific targeting therapy and pharmacodynamic marker for spinocerebellar ataxia type 3. Sci Transl Med 2021; 12:12/566/eabb7086. [PMID: 33087504 DOI: 10.1126/scitranslmed.abb7086] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 06/30/2020] [Indexed: 12/13/2022]
Abstract
Spinocerebellar ataxia type 3 (SCA3), caused by a CAG repeat expansion in the ataxin-3 gene (ATXN3), is characterized by neuronal polyglutamine (polyQ) ATXN3 protein aggregates. Although there is no cure for SCA3, gene-silencing approaches to reduce toxic polyQ ATXN3 showed promise in preclinical models. However, a major limitation in translating putative treatments for this rare disease to the clinic is the lack of pharmacodynamic markers for use in clinical trials. Here, we developed an immunoassay that readily detects polyQ ATXN3 proteins in human biological fluids and discriminates patients with SCA3 from healthy controls and individuals with other ataxias. We show that polyQ ATXN3 serves as a marker of target engagement in human fibroblasts, which may bode well for its use in clinical trials. Last, we identified a single-nucleotide polymorphism that strongly associates with the expanded allele, thus providing an exciting drug target to abrogate detrimental events initiated by mutant ATXN3. Gene-silencing strategies for several repeat diseases are well under way, and our results are expected to improve clinical trial preparedness for SCA3 therapies.
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Affiliation(s)
- Mercedes Prudencio
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.,Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL 32224, USA
| | - Hector Garcia-Moreno
- Ataxia Centre, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK.,Ataxia Centre, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, London WC1N 3BG, UK
| | | | | | - Tania F Gendron
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.,Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL 32224, USA
| | - Michael G Heckman
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Matthew R Spiegel
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Yari Carlomagno
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.,Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL 32224, USA
| | | | - Yuping Song
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Judith A Dunmore
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Natalie Byron
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Björn Oskarsson
- Department of Neurology, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Katharine A Nicholson
- Sean M. Healey and AMG Center for ALS, Massachusetts General Hospital (MGH), Boston, MA 02114, USA
| | - Nathan P Staff
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Sorina Gorcenco
- Lund University, Skåne University Hospital, Department of Clinical Sciences Lund, Neurology, Lund 22185, Sweden
| | - Andreas Puschmann
- Lund University, Skåne University Hospital, Department of Clinical Sciences Lund, Neurology, Lund 22185, Sweden
| | - João Lemos
- Coimbra University Hospital Centre, Coimbra University, Coimbra 3000-075, Portugal
| | - Cristina Januário
- Coimbra University Hospital Centre, Coimbra University, Coimbra 3000-075, Portugal
| | - Mark S LeDoux
- University of Memphis and Veracity Neuroscience LLC, Memphis, TN 38152, USA
| | - Joseph H Friedman
- Department of Neurology, Warren Alpert Medical School of Brown University, Providence, RI 02906, USA
| | - James Polke
- Ataxia Centre, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK.,Ataxia Centre, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, London WC1N 3BG, UK
| | - Robin Labrum
- Ataxia Centre, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK.,Ataxia Centre, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, London WC1N 3BG, UK
| | - Vikram Shakkottai
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - Henry L Paulson
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Takuya Konno
- Department of Neurology, Brain Research Institute, Niigata University, Niigata 951-8585, Japan
| | - Osamu Onodera
- Department of Neurology, Brain Research Institute, Niigata University, Niigata 951-8585, Japan
| | - Takeshi Ikeuchi
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata 951-8585, Japan
| | - Mari Tada
- Department of Pathology, Brain Research Institute, Niigata University, Niigata 951-8585, Japan
| | - Akiyoshi Kakita
- Department of Pathology, Brain Research Institute, Niigata University, Niigata 951-8585, Japan
| | - John D Fryer
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL 32224, USA.,Department of Neuroscience, Mayo Clinic, Scottsdale, AZ 85259, USA
| | - Christin Karremo
- Lund University, Skåne University Hospital, Department of Clinical Sciences Lund, Neurology, Lund 22185, Sweden
| | - Inês Gomes
- Coimbra University Hospital Centre, Coimbra University, Coimbra 3000-075, Portugal
| | - John N Caviness
- Department of Neurology, Mayo Clinic, Scottsdale, AZ 85259, USA
| | - Mark R Pittelkow
- Department of Dermatology, Mayo Clinic, Scottsdale, AZ 85259, USA
| | - Jan Aasly
- Norwegian University of Science and Technology, 7006 Trondheim, Norway
| | - Ronald F Pfeiffer
- Department of Neurology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Venka Veerappan
- Department of Neurology, Oregon Health & Science University, Portland, OR 97239, USA
| | | | | | | | - Ryan J Uitti
- Department of Neurology, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Klaas J Wierenga
- Department of Neurology, Mayo Clinic, Jacksonville, FL 32224, USA
| | | | - Philip W Tipton
- Department of Neurology, Mayo Clinic, Jacksonville, FL 32224, USA
| | | | - Marka van Blitterswijk
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.,Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL 32224, USA
| | - Guojun Bu
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.,Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL 32224, USA
| | | | - Paola Giunti
- Ataxia Centre, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK. .,Ataxia Centre, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, London WC1N 3BG, UK
| | - Leonard Petrucelli
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA. .,Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL 32224, USA
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19
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Schwarz AJ. The Use, Standardization, and Interpretation of Brain Imaging Data in Clinical Trials of Neurodegenerative Disorders. Neurotherapeutics 2021; 18:686-708. [PMID: 33846962 PMCID: PMC8423963 DOI: 10.1007/s13311-021-01027-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/15/2021] [Indexed: 12/11/2022] Open
Abstract
Imaging biomarkers play a wide-ranging role in clinical trials for neurological disorders. This includes selecting the appropriate trial participants, establishing target engagement and mechanism-related pharmacodynamic effect, monitoring safety, and providing evidence of disease modification. In the early stages of clinical drug development, evidence of target engagement and/or downstream pharmacodynamic effect-especially with a clear relationship to dose-can provide confidence that the therapeutic candidate should be advanced to larger and more expensive trials, and can inform the selection of the dose(s) to be further tested, i.e., to "de-risk" the drug development program. In these later-phase trials, evidence that the therapeutic candidate is altering disease-related biomarkers can provide important evidence that the clinical benefit of the compound (if observed) is grounded in meaningful biological changes. The interpretation of disease-related imaging markers, and comparability across different trials and imaging tools, is greatly improved when standardized outcome measures are defined. This standardization should not impinge on scientific advances in the imaging tools per se but provides a common language in which the results generated by these tools are expressed. PET markers of pathological protein aggregates and structural imaging of brain atrophy are common disease-related elements across many neurological disorders. However, PET tracers for pathologies beyond amyloid β and tau are needed, and the interpretability of structural imaging can be enhanced by some simple considerations to guard against the possible confound of pseudo-atrophy. Learnings from much-studied conditions such as Alzheimer's disease and multiple sclerosis will be beneficial as the field embraces rarer diseases.
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Affiliation(s)
- Adam J Schwarz
- Takeda Pharmaceuticals Ltd., 40 Landsdowne Street, Cambridge, MA, 02139, USA.
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20
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Ding X, Zhang S, Jiang L, Wang L, Li T, Lei P. Ultrasensitive assays for detection of plasma tau and phosphorylated tau 181 in Alzheimer's disease: a systematic review and meta-analysis. Transl Neurodegener 2021; 10:10. [PMID: 33712071 PMCID: PMC7953695 DOI: 10.1186/s40035-021-00234-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 02/24/2021] [Indexed: 02/08/2023] Open
Abstract
A lack of convenient and reliable biomarkers for diagnosis and prognosis is a common challenge for neurodegenerative diseases such as Alzheimer's disease (AD). Recent advancement in ultrasensitive protein assays has allowed the quantification of tau and phosphorylated tau proteins in peripheral plasma. Here we identified 66 eligible studies reporting quantification of plasma tau and phosphorylated tau 181 (ptau181) using four ultrasensitive methods. Meta-analysis of these studies confirmed that the AD patients had significantly higher plasma tau and ptau181 levels compared with controls, and that the plasma tau and ptau181 could predict AD with high-accuracy area under curve of the Receiver Operating Characteristic. Therefore, plasma tau and plasma ptau181 can be considered as biomarkers for AD diagnosis.
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Affiliation(s)
- Xulong Ding
- Department of Neurology and State Key Laboratory of Biotherapy/Collaborative Innovation Center for Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Shuting Zhang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Lijun Jiang
- Mental Health Center and West China Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Lu Wang
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Tao Li
- Mental Health Center and West China Brain Research Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
| | - Peng Lei
- Department of Neurology and State Key Laboratory of Biotherapy/Collaborative Innovation Center for Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, China.
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21
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Frempong B, Wilson RB, Schadt K, Lynch DR. The Role of Serum Levels of Neurofilament Light (NfL) Chain as a Biomarker in Friedreich Ataxia. Front Neurosci 2021; 15:653241. [PMID: 33737864 PMCID: PMC7960909 DOI: 10.3389/fnins.2021.653241] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 02/05/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Bernice Frempong
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Departments of Neurology and Pediatrics, University of Pennsylvania, Philadelphia, PA, United States
| | - Robert B Wilson
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Kimberly Schadt
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Departments of Neurology and Pediatrics, University of Pennsylvania, Philadelphia, PA, United States
| | - David R Lynch
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Departments of Neurology and Pediatrics, University of Pennsylvania, Philadelphia, PA, United States
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22
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Coarelli G, Darios F, Petit E, Dorgham K, Adanyeguh I, Petit E, Brice A, Mochel F, Durr A. Plasma neurofilament light chain predicts cerebellar atrophy and clinical progression in spinocerebellar ataxia. Neurobiol Dis 2021; 153:105311. [PMID: 33636389 DOI: 10.1016/j.nbd.2021.105311] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 02/12/2021] [Accepted: 02/19/2021] [Indexed: 12/13/2022] Open
Abstract
Neurofilament light chain (NfL) is a marker of brain atrophy and predictor of disease progression in rare diseases such as Huntington Disease, but also in more common neurological disorders such as Alzheimer's disease. The aim of this study was to measure NfL longitudinally in autosomal dominant spinocerebellar ataxias (SCAs) and establish correlation with clinical and imaging parameters. We enrolled 62 pathological expansions carriers (17 SCA1, 13 SCA2, 19 SCA3, and 13 SCA7) and 19 age-matched controls in a prospective biomarker study between 2011 and 2015 and followed for 24 months at the Paris Brain Institute. We performed neurological examination, brain 3 T MRI and plasma NfL measurements using an ultrasensitive single-molecule array at baseline and at the two-year follow-up visit. We evaluated NfL correlations with ages, CAG repeat sizes, clinical scores and volumetric brain MRIs. NfL levels were significantly higher in SCAs than controls at both time points (p < 0.001). Age-adjusted NfL levels were significantly correlated at baseline with clinical scores (p < 0.01). We identified optimal NfL cut-off concentrations to differentiate controls from carriers for each genotype (SCA1 16.87 pg/mL, SCA2, 19.1 pg/mL, SCA3 16.04 pg/mL, SCA7 16.67 pg/mL). For all SCAs, NfL concentration was stable over two years (p = 0.95) despite a clinical progression (p < 0.0001). Clinical progression between baseline and follow-up was associated with higher NfL concentrations at baseline (p = 0.04). Of note, all premanifest carriers with NfL levels close to cut off concentrations had signs of the disease at follow-up. For all SCAs, the higher the observed NfL, the lower the pons volume at baseline (p < 0.01) and follow-up (p = 0.02). Higher NfL levels at baseline in all SCAs predicted a decrease in cerebellar volume (p = 0.03). This result remained significant for SCA2 only among all genotypes (p = 0.02). Overall, plasma NfL levels at baseline in SCA expansion carriers predict cerebellar volume change and clinical score progression. NfL levels might help refine inclusion criteria for clinical trials in carriers with very subtle signs.
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Affiliation(s)
- Giulia Coarelli
- Sorbonne Université, ICM (Paris Brain Institute), AP-HP, INSERM, CNRS, University Hospital Pitié-Salpêtrière, Paris, France; APHP Department of Genetics, Pitié-Salpêtrière University Hospital, Paris, France
| | - Frederic Darios
- Sorbonne Université, ICM (Paris Brain Institute), AP-HP, INSERM, CNRS, University Hospital Pitié-Salpêtrière, Paris, France
| | - Emilien Petit
- Sorbonne Université, ICM (Paris Brain Institute), AP-HP, INSERM, CNRS, University Hospital Pitié-Salpêtrière, Paris, France
| | - Karim Dorgham
- Sorbonne Université, INSERM, CNRS, Centre d'Immunologie et des Maladies Infectieuses-Paris (CIMI-Paris), F-75013 Paris, France
| | - Isaac Adanyeguh
- Sorbonne Université, ICM (Paris Brain Institute), AP-HP, INSERM, CNRS, University Hospital Pitié-Salpêtrière, Paris, France
| | - Elodie Petit
- Sorbonne Université, ICM (Paris Brain Institute), AP-HP, INSERM, CNRS, University Hospital Pitié-Salpêtrière, Paris, France; APHP Department of Genetics, Pitié-Salpêtrière University Hospital, Paris, France
| | - Alexis Brice
- Sorbonne Université, ICM (Paris Brain Institute), AP-HP, INSERM, CNRS, University Hospital Pitié-Salpêtrière, Paris, France
| | - Fanny Mochel
- Sorbonne Université, ICM (Paris Brain Institute), AP-HP, INSERM, CNRS, University Hospital Pitié-Salpêtrière, Paris, France; APHP Department of Genetics, Pitié-Salpêtrière University Hospital, Paris, France
| | - Alexandra Durr
- Sorbonne Université, ICM (Paris Brain Institute), AP-HP, INSERM, CNRS, University Hospital Pitié-Salpêtrière, Paris, France; APHP Department of Genetics, Pitié-Salpêtrière University Hospital, Paris, France.
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23
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Chatterjee P, Pedrini S, Stoops E, Goozee K, Villemagne VL, Asih PR, Verberk IMW, Dave P, Taddei K, Sohrabi HR, Zetterberg H, Blennow K, Teunissen CE, Vanderstichele HM, Martins RN. Plasma glial fibrillary acidic protein is elevated in cognitively normal older adults at risk of Alzheimer's disease. Transl Psychiatry 2021; 11:27. [PMID: 33431793 PMCID: PMC7801513 DOI: 10.1038/s41398-020-01137-1] [Citation(s) in RCA: 191] [Impact Index Per Article: 63.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 09/26/2020] [Accepted: 10/07/2020] [Indexed: 12/14/2022] Open
Abstract
Glial fibrillary acidic protein (GFAP), an astrocytic cytoskeletal protein, can be measured in blood samples, and has been associated with Alzheimer's disease (AD). However, plasma GFAP has not been investigated in cognitively normal older adults at risk of AD, based on brain amyloid-β (Aβ) load. Cross-sectional analyses were carried out for plasma GFAP and plasma Aβ1-42/Aβ1-40 ratio, a blood-based marker associated with brain Aβ load, in participants (65-90 years) categorised into low (Aβ-, n = 63) and high (Aβ+, n = 33) brain Aβ load groups via Aβ positron emission tomography. Plasma GFAP, Aβ1-42, and Aβ1-40 were measured using the Single molecule array (Simoa) platform. Plasma GFAP levels were significantly higher (p < 0.00001), and plasma Aβ1-42/Aβ1-40 ratios were significantly lower (p < 0.005), in Aβ+ participants compared to Aβ- participants, adjusted for covariates age, sex, and apolipoprotein E-ε4 carriage. A receiver operating characteristic curve based on a logistic regression of the same covariates, the base model, distinguished Aβ+ from Aβ- (area under the curve, AUC = 0.78), but was outperformed when plasma GFAP was added to the base model (AUC = 0.91) and further improved with plasma Aβ1-42/Aβ1-40 ratio (AUC = 0.92). The current findings demonstrate that plasma GFAP levels are elevated in cognitively normal older adults at risk of AD. These observations suggest that astrocytic damage or activation begins from the pre-symptomatic stage of AD and is associated with brain Aβ load. Observations from the present study highlight the potential of plasma GFAP to contribute to a diagnostic blood biomarker panel (along with plasma Aβ1-42/Aβ1-40 ratios) for cognitively normal older adults at risk of AD.
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Affiliation(s)
- Pratishtha Chatterjee
- grid.1004.50000 0001 2158 5405Department of Biomedical Sciences, Macquarie University, North Ryde, NSW Australia ,grid.1038.a0000 0004 0389 4302School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA Australia
| | - Steve Pedrini
- grid.1038.a0000 0004 0389 4302School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA Australia
| | | | - Kathryn Goozee
- grid.1004.50000 0001 2158 5405Department of Biomedical Sciences, Macquarie University, North Ryde, NSW Australia ,grid.1038.a0000 0004 0389 4302School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA Australia ,grid.489025.2KaRa Institute of Neurological Diseases, Macquarie Park, NSW Australia ,Anglicare, Castle Hill Sydney, NSW Australia ,grid.1012.20000 0004 1936 7910School of Psychiatry and Clinical Neurosciences, University of Western Australia, Crawley, WA Australia ,The Cooperative Research Centre for Mental Health, Carlton South, Australia
| | - Victor L. Villemagne
- grid.410678.cDepartment of Molecular Imaging & Therapy, Austin Health, Melbourne, VIC Australia
| | - Prita R. Asih
- grid.1004.50000 0001 2158 5405Department of Biomedical Sciences, Macquarie University, North Ryde, NSW Australia
| | - Inge M. W. Verberk
- grid.484519.5Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Preeti Dave
- grid.1004.50000 0001 2158 5405Department of Biomedical Sciences, Macquarie University, North Ryde, NSW Australia ,Anglicare, Castle Hill Sydney, NSW Australia
| | - Kevin Taddei
- grid.1038.a0000 0004 0389 4302School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA Australia ,grid.429545.b0000 0004 5905 2729Australian Alzheimer’s Research Foundation, Nedlands, WA Australia
| | - Hamid R. Sohrabi
- grid.1004.50000 0001 2158 5405Department of Biomedical Sciences, Macquarie University, North Ryde, NSW Australia ,grid.1038.a0000 0004 0389 4302School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA Australia ,grid.429545.b0000 0004 5905 2729Australian Alzheimer’s Research Foundation, Nedlands, WA Australia ,grid.1025.60000 0004 0436 6763Centre for Healthy Ageing, School of Psychology and Exercise Science, College of Science, Health, Engineering and Education, Murdoch University, Murdoch, WA Australia
| | - Henrik Zetterberg
- grid.8761.80000 0000 9919 9582Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden ,grid.1649.a000000009445082XClinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden ,grid.83440.3b0000000121901201Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, United Kingdom ,UK Dementia Research Institute at UCL, London, UK
| | - Kaj Blennow
- grid.8761.80000 0000 9919 9582Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden ,grid.1649.a000000009445082XClinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Charlotte E. Teunissen
- grid.484519.5Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | | | - Ralph N. Martins
- grid.1004.50000 0001 2158 5405Department of Biomedical Sciences, Macquarie University, North Ryde, NSW Australia ,grid.1038.a0000 0004 0389 4302School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA Australia ,grid.489025.2KaRa Institute of Neurological Diseases, Macquarie Park, NSW Australia ,grid.1012.20000 0004 1936 7910School of Psychiatry and Clinical Neurosciences, University of Western Australia, Crawley, WA Australia ,The Cooperative Research Centre for Mental Health, Carlton South, Australia ,grid.429545.b0000 0004 5905 2729Australian Alzheimer’s Research Foundation, Nedlands, WA Australia
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24
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Different Clinical Contexts of Use of Blood Neurofilament Light Chain Protein in the Spectrum of Neurodegenerative Diseases. Mol Neurobiol 2020; 57:4667-4691. [PMID: 32772223 DOI: 10.1007/s12035-020-02035-9] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Accepted: 07/22/2020] [Indexed: 12/11/2022]
Abstract
One of the most pressing challenges in the clinical research of neurodegenerative diseases (NDDs) is the validation and standardization of pathophysiological biomarkers for different contexts of use (CoUs), such as early detection, diagnosis, prognosis, and prediction of treatment response. Neurofilament light chain (NFL) concentration is a particularly promising candidate, an indicator of axonal degeneration, which can be analyzed in peripheral blood with advanced ultrasensitive methods. Serum/plasma NFL concentration is closely correlated with cerebrospinal fluid NFL and directly reflects neurodegeneration within the central nervous system. Here, we provide an update on the feasible CoU of blood NFL in NDDs and translate recent findings to potentially valuable clinical practice applications. As NFL is not a disease-specific biomarker, however, blood NFL is an easily accessible biomarker with promising different clinical applications for several NDDs: (1) early detection and diagnosis (i.e., amyotrophic lateral sclerosis, Creutzfeldt-Jakob disease, atypical parkinsonisms, sporadic late-onset ataxias), (2) prognosis (Huntington's disease and Parkinson's disease), and (3) prediction of time to symptom onset (presymptomatic mutation carriers in genetic Alzheimer's disease and spinocerebellar ataxia type 3).
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25
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Rodríguez LR, Lapeña T, Calap-Quintana P, Moltó MD, Gonzalez-Cabo P, Navarro Langa JA. Antioxidant Therapies and Oxidative Stress in Friedreich´s Ataxia: The Right Path or Just a Diversion? Antioxidants (Basel) 2020; 9:E664. [PMID: 32722309 PMCID: PMC7465446 DOI: 10.3390/antiox9080664] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 07/17/2020] [Accepted: 07/19/2020] [Indexed: 12/12/2022] Open
Abstract
Friedreich´s ataxia is the commonest autosomal recessive ataxia among population of European descent. Despite the huge advances performed in the last decades, a cure still remains elusive. One of the most studied hallmarks of the disease is the increased production of oxidative stress markers in patients and models. This feature has been the motivation to develop treatments that aim to counteract such boost of free radicals and to enhance the production of antioxidant defenses. In this work, we present and critically review those "antioxidant" drugs that went beyond the disease´s models and were approved for its application in clinical trials. The evaluation of these trials highlights some crucial aspects of the FRDA research. On the one hand, the analysis contributes to elucidate whether oxidative stress plays a central role or whether it is only an epiphenomenon. On the other hand, it comments on some limitations in the current trials that complicate the analysis and interpretation of their outcome. We also include some suggestions that will be interesting to implement in future studies and clinical trials.
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Affiliation(s)
- Laura R. Rodríguez
- Department of Physiology, Faculty of Medicine and Dentistry, Universitat de València-INCLIVA, 46010 Valencia, Spain; (L.R.R.); (T.L.); (P.C.-Q.)
- Associated Unit for Rare Diseases INCLIVA-CIPF, 46010 Valencia, Spain
| | - Tamara Lapeña
- Department of Physiology, Faculty of Medicine and Dentistry, Universitat de València-INCLIVA, 46010 Valencia, Spain; (L.R.R.); (T.L.); (P.C.-Q.)
- Associated Unit for Rare Diseases INCLIVA-CIPF, 46010 Valencia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), 46010 Valencia, Spain
| | - Pablo Calap-Quintana
- Department of Physiology, Faculty of Medicine and Dentistry, Universitat de València-INCLIVA, 46010 Valencia, Spain; (L.R.R.); (T.L.); (P.C.-Q.)
- Associated Unit for Rare Diseases INCLIVA-CIPF, 46010 Valencia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), 46010 Valencia, Spain
| | - María Dolores Moltó
- Department of Genetics, Universitat de València-INCLIVA, 46100 Valencia, Spain;
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), 46100 Valencia, Spain
| | - Pilar Gonzalez-Cabo
- Department of Physiology, Faculty of Medicine and Dentistry, Universitat de València-INCLIVA, 46010 Valencia, Spain; (L.R.R.); (T.L.); (P.C.-Q.)
- Associated Unit for Rare Diseases INCLIVA-CIPF, 46010 Valencia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), 46010 Valencia, Spain
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Clay A, Obrochta KM, Soon RK, Russell CB, Lynch DR. Neurofilament light chain as a potential biomarker of disease status in Friedreich ataxia. J Neurol 2020; 267:2594-2598. [PMID: 32385683 DOI: 10.1007/s00415-020-09868-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 04/26/2020] [Accepted: 04/28/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND The present study evaluates serum neurofilament light chain (NfL) as a biomarker of disease features in Friedreich's ataxia (FRDA). METHODS NfL levels from serum of 117 subjects (85 FRDA patients, 13 carriers, and 19 controls) were assayed and correlated with disease features such as smaller GAA repeat length (GAA1), age, sex, and level of neurological dysfunction. RESULTS Mean serum NfL levels were higher in FRDA patients than in carriers or unaffected controls in two independent cohorts of subjects. In longitudinal samples from FRDA patients drawn monthly or 1 year apart, values changed minimally. No difference was noted between carriers and controls. NfL levels correlated positively with age in controls and carriers of similar age, (Rs = 0.72, p < 0.0005), whereas NfL levels inversely correlated with age in FRDA patients (Rs = - 0.63, p < 0.001). NfL levels were not associated with sex or GAA1 length in patients, and linear regression revealed a significant relationship between NfL levels in the cohort with age (coefficient = - 0.36, p < 0.001), but not sex (p = 0.64) or GAA1 (p = 0.13). CONCLUSION Because NfL is elevated in patients, but decreases with age and disease progression, our results suggest that age is the critical determinant of NfL in FRDA (rather than clinical or genetic severity).
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Affiliation(s)
- Alexandra Clay
- Department of Pediatrics and Neurology, The Children's Hospital of Philadelphia; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Kristin M Obrochta
- BioMarin Pharmaceutical Inc, 770 Lindaro Street, San Rafael, CA, 94901, USA
| | - Russell K Soon
- BioMarin Pharmaceutical Inc, 770 Lindaro Street, San Rafael, CA, 94901, USA
| | | | - David R Lynch
- Department of Pediatrics and Neurology, The Children's Hospital of Philadelphia; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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NfL and pNfH are increased in Friedreich's ataxia. J Neurol 2020; 267:1420-1430. [PMID: 32002649 PMCID: PMC7184046 DOI: 10.1007/s00415-020-09722-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2019] [Revised: 01/16/2020] [Accepted: 01/20/2020] [Indexed: 12/14/2022]
Abstract
Objective To assess neurofilaments as neurodegenerative biomarkers in serum of patients with Friedreich’s ataxia. Methods Single molecule array measurements of neurofilament light (NfL) and heavy chain (pNfH) in 99 patients with genetically confirmed Friedreich’s ataxia. Correlation of NfL/pNfH serum levels with disease severity, disease duration, age, age at onset, and GAA repeat length. Results Median serum levels of NfL were 21.2 pg/ml (range 3.6–49.3) in controls and 26.1 pg/ml (0–78.1) in Friedreich’s ataxia (p = 0.002). pNfH levels were 23.5 pg/ml (13.3–43.3) in controls and 92 pg/ml (3.1–303) in Friedreich’s ataxia (p = 0.0004). NfL levels were significantly increased in younger patients (age 16–31 years, p < 0.001) and patients aged 32–47 years (p = 0.008), but not in patients of age 48 years and older (p = 0.41). In a longitudinal assessment, there was no difference in NfL levels in 14 patients with repeated sampling 2 years after baseline measurement. Levels of NfL correlated inversely with GAA1 repeat length (r = − 0.24, p = 0.02) but not with disease severity (r = − 0.13, p = 0.22), disease duration (r = − 0.06, p = 0.53), or age at onset (r = 0.05, p = 0.62). Conclusion Serum levels of NfL and pNfH are elevated in Friedreich’s ataxia, but differences to healthy controls decrease with increasing age. Long-term longitudinal data are required to explore whether this reflects a selection bias from early death of more severely affected individuals or a slowing down of the neurodegenerative process with age. In a pilot study over 2 years of follow-up—a period relevant for biomarkers indicating treatment effects—we found NfL levels to be stable. Electronic supplementary material The online version of this article (10.1007/s00415-020-09722-6) contains supplementary material, which is available to authorized users.
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Hepner A, Porter J, Hare F, Nasir SS, Zetterberg H, Blennow K, Martin MG. Serum Neurofilament Light, Glial Fibrillary Acidic Protein and Tau Are Possible Serum Biomarkers for Activity of Brain Metastases and Gliomas. World J Oncol 2019; 10:169-175. [PMID: 31636790 PMCID: PMC6785270 DOI: 10.14740/wjon1228] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2019] [Accepted: 09/09/2019] [Indexed: 01/08/2023] Open
Abstract
Background Primary central nervous system (CNS) tumors and brain metastases (BMs) are major causes of morbidity and mortality, accompanied by low survival rates. Efforts to early discovery of CNS malignancies are critical. However, to date, there are no biomarkers approved for detection of cancer activity in the brain. Blood levels of neurofilament light (NfL) and tau, as well as glial fibrillary acidic protein (GFAp), show promise as biomarkers for brain injury in previous studies. Therefore, we performed a cross-sectional study to investigate correlations of those biomarkers with CNS activity of gliomas and BMs. Methods Serum samples of 36 participants of a single centered institution were tested for NfL, GFAp and tau with Simoa immunoassay, and correlated with clinical and radiological data. Results NfL and GFAp levels were significantly associated with the state of intracranial disease (analysis of variance (ANOVA), PsNfL = 0.03; ANOVA, PGFAp = 0.03). Although statistically significant (P = 0.04), differences in concentrations were not clinically meaningful for tau levels. Serum NfL (sNfL) and GFAp concentrations were higher in the group of patients with CNS tumors with disease in progression versus CNS with stable disease (P = 0.03 and P = 0.01, respectively). In addition, sNfL were higher in patients with metastatic solid tumors with known BMs than in those with metastatic tumors with no BM (P = 0.0004). Conclusion sNfL and GFAp both apparently vary closely with presence and activity of gliomas and BMs. Further studies in larger populations are needed to expand these findings.
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Affiliation(s)
- Adriana Hepner
- Medical Oncology Service, Instituto do Cancer do Estado de Sao Paulo, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Jason Porter
- Division of Hematology and Oncology, University of Tennessee Health Science Center/West Cancer Center, Memphis, TN, USA
| | - Felicia Hare
- Division of Hematology and Oncology, University of Tennessee Health Science Center/West Cancer Center, Memphis, TN, USA
| | - Syed Sameer Nasir
- Division of Hematology and Oncology, University of Tennessee Health Science Center/West Cancer Center, Memphis, TN, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Molndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Molndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, 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, Molndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Molndal, Sweden
| | - Michael Gary Martin
- Division of Hematology and Oncology, University of Tennessee Health Science Center/West Cancer Center, Memphis, TN, USA
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The current state of biomarker research for Friedreich's ataxia: a report from the 2018 FARA biomarker meeting. Future Sci OA 2019; 5:FSO398. [PMID: 31285843 PMCID: PMC6609901 DOI: 10.2144/fsoa-2019-0026] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
The 2018 FARA Biomarker Meeting highlighted the current state of development of biomarkers for Friedreich’s ataxia. A mass spectroscopy assay to sensitively measure mature frataxin (reduction of which is the root cause of disease) is being developed. Biomarkers to monitor neurological disease progression include imaging, electrophysiological measures and measures of nerve function, which may be measured either in serum and/or through imaging-based technologies. Potential pharmacodynamic biomarkers include metabolic and protein biomarkers and markers of nerve damage. Cardiac imaging and serum biomarkers may reflect cardiac disease progression. Considerable progress has been made in the development of biomarkers for various contexts of use, but further work is needed in terms of larger longitudinal multisite studies, and identification of novel biomarkers for additional use cases Biomarkers are characteristics that can be objectively measured, evaluated and used as indicators of disease progression or the effect of a therapy. Friedreich’s ataxia is a progressive multisystem neuromuscular disease with no treatment. Current clinical measures cannot robustly detect disease progression in less than a year, meaning that clinical trials are long and drug development is slow. The Friedreich’s Ataxia Research Alliance and the scientific community are looking for biomarkers that show change in shorter time frames that can accelerate drug development. The 2018 FARA Biomarker Meeting summarized the exciting findings that represent the current state of the field.
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