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Benatar M, Wuu J, Huey ED, McMillan CT, Petersen RC, Postuma R, McHutchison C, Dratch L, Arias JJ, Crawley A, Houlden H, McDermott MP, Cai X, Thakur N, Boxer A, Rosen H, Boeve BF, Dacks P, Cosentino S, Abrahams S, Shneider N, Lingor P, Shefner J, Andersen PM, Al-Chalabi A, Turner MR. The Miami Framework for ALS and related neurodegenerative disorders: an integrated view of phenotype and biology. Nat Rev Neurol 2024:10.1038/s41582-024-00961-z. [PMID: 38769202 DOI: 10.1038/s41582-024-00961-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/03/2024] [Indexed: 05/22/2024]
Abstract
Increasing appreciation of the phenotypic and biological overlap between amyotrophic lateral sclerosis (ALS) and frontotemporal dementia, alongside evolving biomarker evidence for a pre-symptomatic stage of disease and observations that this stage of disease might not always be clinically silent, is challenging traditional views of these disorders. These advances have highlighted the need to adapt ingrained notions of these clinical syndromes to include both the full phenotypic continuum - from clinically silent, to prodromal, to clinically manifest - and the expanded phenotypic spectrum that includes ALS, frontotemporal dementia and some movement disorders. The updated clinical paradigms should also align with our understanding of the biology of these disorders, reflected in measurable biomarkers. The Miami Framework, emerging from discussions at the Second International Pre-Symptomatic ALS Workshop in Miami (February 2023; a full list of attendees and their affiliations appears in the Supplementary Information) proposes a classification system built on: first, three parallel phenotypic axes - motor neuron, frontotemporal and extrapyramidal - rather than the unitary approach of combining all phenotypic elements into a single clinical entity; and second, biomarkers that reflect different aspects of the underlying pathology and biology of neurodegeneration. This framework decouples clinical syndromes from biomarker evidence of disease and builds on experiences from other neurodegenerative diseases to offer a unified approach to specifying the pleiotropic clinical manifestations of disease and describing the trajectory of emergent biomarkers.
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Affiliation(s)
- Michael Benatar
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA.
| | - Joanne Wuu
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Edward D Huey
- Department of Psychiatry and Human Behaviour, Alpert Medical School of Brown University, Providence, RI, USA
| | - Corey T McMillan
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | - Ronald Postuma
- Department of Neurology, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Caroline McHutchison
- Human Cognitive Neuroscience, Department of Psychology, University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for MND Research, University of Edinburgh, Edinburgh, UK
| | - Laynie Dratch
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Jalayne J Arias
- Department of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA
| | | | - Henry Houlden
- UCL Institute of Neurology and The National Hospital for Neurology and Neurosurgery, London, UK
| | - Michael P McDermott
- Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
- Department of Neurology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | - Xueya Cai
- Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | | | - Adam Boxer
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Howard Rosen
- Department of Neurology, University of California, San Francisco, CA, USA
| | | | - Penny Dacks
- Association for Frontotemporal Degeneration, King of Prussia, PA, USA
| | | | - Sharon Abrahams
- Human Cognitive Neuroscience, Department of Psychology, University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for MND Research, University of Edinburgh, Edinburgh, UK
| | - Neil Shneider
- Department of Neurology, Columbia University, New York, NY, USA
| | - Paul Lingor
- Department of Neurology, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany
| | - Jeremy Shefner
- Department of Neurology, Barrow Neurological Institute, Phoenix, AZ, USA
| | - Peter M Andersen
- Department of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
- Department of Neurology, King's College Hospital, London, UK
| | - Martin R Turner
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
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Sexton CE, Bitan G, Bowles KR, Brys M, Buée L, Maina MB, Clelland CD, Cohen AD, Crary JF, Dage JL, Diaz K, Frost B, Gan L, Goate AM, Golbe LI, Hansson O, Karch CM, Kolb HC, La Joie R, Lee SE, Matallana D, Miller BL, Onyike CU, Quiroz YT, Rexach JE, Rohrer JD, Rommel A, Sadri‐Vakili G, Schindler SE, Schneider JA, Sperling RA, Teunissen CE, Weninger SC, Worley SL, Zheng H, Carrillo MC. Novel avenues of tau research. Alzheimers Dement 2024; 20:2240-2261. [PMID: 38170841 PMCID: PMC10984447 DOI: 10.1002/alz.13533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 10/03/2023] [Accepted: 10/05/2023] [Indexed: 01/05/2024]
Abstract
INTRODUCTION The pace of innovation has accelerated in virtually every area of tau research in just the past few years. METHODS In February 2022, leading international tau experts convened to share selected highlights of this work during Tau 2022, the second international tau conference co-organized and co-sponsored by the Alzheimer's Association, CurePSP, and the Rainwater Charitable Foundation. RESULTS Representing academia, industry, and the philanthropic sector, presenters joined more than 1700 registered attendees from 59 countries, spanning six continents, to share recent advances and exciting new directions in tau research. DISCUSSION The virtual meeting provided an opportunity to foster cross-sector collaboration and partnerships as well as a forum for updating colleagues on research-advancing tools and programs that are steadily moving the field forward.
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Affiliation(s)
| | - Gal Bitan
- Department of NeurologyDavid Geffen School of MedicineBrain Research InstituteMolecular Biology InstituteUniversity of California Los Angeles (UCLA)Los AngelesCaliforniaUSA
| | - Kathryn R. Bowles
- UK Dementia Research Institute at the University of EdinburghCentre for Discovery Brain SciencesUniversity of EdinburghEdinburghUK
| | | | - Luc Buée
- Univ LilleInsermCHU‐LilleLille Neuroscience and CognitionLabEx DISTALZPlace de VerdunLilleFrance
| | - Mahmoud Bukar Maina
- Sussex NeuroscienceSchool of Life SciencesUniversity of SussexFalmerUK
- Biomedical Science Research and Training CentreYobe State UniversityDamaturuNigeria
| | - Claire D. Clelland
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Ann D. Cohen
- University of PittsburghSchool of MedicineDepartment of Psychiatry and Alzheimer's disease Research CenterPittsburghPennsylvaniaUSA
| | - John F. Crary
- Departments of PathologyNeuroscience, and Artificial Intelligence & Human HealthIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Jeffrey L. Dage
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
| | | | - Bess Frost
- Sam & Ann Barshop Institute for Longevity & Aging Studies Glenn Biggs Institute for Alzheimer's & Neurodegenerative Disorders Department of Cell Systems and Anatomy University of Texas Health San AntonioSan AntonioTexasUSA
| | - Li Gan
- Helen and Robert Appel Alzheimer Disease Research InstituteFeil Family Brain and Mind Research InstituteWeill Cornell MedicineNew YorkNew YorkUSA
| | - Alison M Goate
- Department of Genetics & Genomic SciencesRonald M. Loeb Center for Alzheimer's diseaseIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Lawrence I. Golbe
- CurePSPIncNew YorkNew YorkUSA
- Rutgers Robert Wood Johnson Medical SchoolNew BrunswickNew JerseyUSA
| | - Oskar Hansson
- Clinical Memory Research UnitDepartment of Clinical Sciences MalmöLund UniversityLundSweden
| | - Celeste M. Karch
- Department of PsychiatryWashington University in St. LouisSt. LouisMissouriUSA
| | | | - Renaud La Joie
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Suzee E. Lee
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Diana Matallana
- Aging InstituteNeuroscience ProgramPsychiatry DepartmentSchool of MedicinePontificia Universidad JaverianaBogotáColombia
- Mental Health DepartmentHospital Universitario Fundaciòn Santa FeBogotaColombia
| | - Bruce L. Miller
- Memory and Aging CenterDepartment of NeurologyWeill Institute for NeurosciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of Psychiatry and Behavioral SciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Chiadi U. Onyike
- Division of Geriatric Psychiatry and NeuropsychiatryJohns Hopkins University School of MedicineBaltimoreBaltimoreMarylandUSA
| | - Yakeel T. Quiroz
- Departments of Psychiatry and NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Jessica E. Rexach
- Program in NeurogeneticsDepartment of NeurologyDavid Geffen School of MedicineUniversity of CaliforniaLos AngelesCaliforniaUSA
| | - Jonathan D. Rohrer
- Department of Neurodegenerative DiseaseDementia Research CentreUniversity College London Institute of Neurology, Queen SquareLondonUK
| | - Amy Rommel
- Rainwater Charitable FoundationFort WorthTexasUSA
| | - Ghazaleh Sadri‐Vakili
- Sean M. Healey &AMG Center for ALS at Mass GeneralMassachusetts General HospitalBostonMassachusettsUSA
| | - Suzanne E. Schindler
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
| | | | - Reisa A. Sperling
- Center for Alzheimer Research and TreatmentBrigham and Women's HospitalMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Charlotte E. Teunissen
- Neurochemistry LaboratoryClinical Chemistry departmentAmsterdam NeuroscienceProgram NeurodegenerationAmsterdam University Medical CentersVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | | | | | - Hui Zheng
- Huffington Center on AgingBaylor College of MedicineHoustonTexasUSA
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Hsiao-Nakamoto J, Chiu CL, VandeVrede L, Ravi R, Vandenberg B, De Groot J, Tsogtbaatar B, Fang M, Auger P, Gould NS, Marchioni F, Powers CA, Davis SS, Suh JH, Alkabsh J, Heuer HW, Lago AL, Scearce-Levie K, Seeley WW, Boeve BF, Rosen HJ, Berger A, Tsai R, Di Paolo G, Boxer AL, Bhalla A, Huang F. Alterations in Lysosomal, Glial and Neurodegenerative Biomarkers in Patients with Sporadic and Genetic Forms of Frontotemporal Dementia. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.09.579529. [PMID: 38405775 PMCID: PMC10888909 DOI: 10.1101/2024.02.09.579529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Background Frontotemporal dementia (FTD) is the most common cause of early-onset dementia with 10-20% of cases caused by mutations in one of three genes: GRN, C9orf72, or MAPT. To effectively develop therapeutics for FTD, the identification and characterization of biomarkers to understand disease pathogenesis and evaluate the impact of specific therapeutic strategies on the target biology as well as the underlying disease pathology are essential. Moreover, tracking the longitudinal changes of these biomarkers throughout disease progression is crucial to discern their correlation with clinical manifestations for potential prognostic usage. Methods We conducted a comprehensive investigation of biomarkers indicative of lysosomal biology, glial cell activation, synaptic and neuronal health in cerebrospinal fluid (CSF) and plasma from non-carrier controls, sporadic FTD (symptomatic non-carriers) and symptomatic carriers of mutations in GRN, C9orf72, or MAPT, as well as asymptomatic GRN mutation carriers. We also assessed the longitudinal changes of biomarkers in GRN mutation carriers. Furthermore, we examined biomarker levels in disease impacted brain regions including middle temporal gyrus (MTG) and superior frontal gyrus (SFG) and disease-unaffected inferior occipital gyrus (IOG) from sporadic FTD and symptomatic GRN carriers. Results We confirmed glucosylsphingosine (GlcSph), a lysosomal biomarker regulated by progranulin, was elevated in the plasma from GRN mutation carriers, both symptomatic and asymptomatic. GlcSph and other lysosomal biomarkers such as ganglioside GM2 and globoside GB3 were increased in the disease affected SFG and MTG regions from sporadic FTD and symptomatic GRN mutation carriers, but not in the IOG, compared to the same brain regions from controls. The glial biomarkers GFAP in plasma and YKL40 in CSF were elevated in asymptomatic GRN carriers, and all symptomatic groups, except the symptomatic C9orf72 mutation group. YKL40 was also increased in SFG and MTG regions from sporadic FTD and symptomatic GRN mutation carriers. Neuronal injury and degeneration biomarkers NfL in CSF and plasma, and UCHL1 in CSF were elevated in patients with all forms of FTD. Synaptic biomarkers NPTXR, NPTX1/2, and VGF were reduced in CSF from patients with all forms of FTD, with the most pronounced reductions observed in symptomatic MAPT mutation carriers. Furthermore, we demonstrated plasma NfL was significantly positively correlated with disease severity as measured by CDR+NACC FTLD SB in genetic forms of FTD and CSF NPTXR was significantly negatively correlated with CDR+NACC FTLD SB in symptomatic GRN and MAPT mutation carriers. Conclusions In conclusion, our comprehensive investigation replicated alterations in biofluid biomarkers indicative of lysosomal function, glial activation, synaptic and neuronal health across sporadic and genetic forms of FTD and unveiled novel insights into the dysregulation of these biomarkers within brain tissues from patients with GRN mutations. The observed correlations between biomarkers and disease severity open promising avenues for prognostic applications and for indicators of drug efficacy in clinical trials. Our data also implicated a complicated relationship between biofluid and tissue biomarker changes and future investigations should delve into the mechanistic underpinnings of these biomarkers, which will serve as a foundation for the development of targeted therapeutics for FTD.
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Affiliation(s)
- Jennifer Hsiao-Nakamoto
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
- These authors contributed equally
| | - Chi-Lu Chiu
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
- These authors contributed equally
| | - Lawren VandeVrede
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Ritesh Ravi
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
| | - Brittany Vandenberg
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
- Present address: Brittany Vandenberg, Washington State University, Pullman, WA 99164, USA
| | - Jack De Groot
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
- Present address: Jack DeGroot: Prime Medicine Inc., Cambridge, MA 02139, USA
| | | | - Meng Fang
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
| | - Paul Auger
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
- Present address: Paul Auger: Nurix Therapeutics, San Francisco, CA 94158, USA
| | - Neal S Gould
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
| | - Filippo Marchioni
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
| | - Casey A Powers
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
- Present address: Casey A. Powers: Stanford University, Stanford, CA 94305, USA
| | - Sonnet S Davis
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
| | - Jung H Suh
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
| | - Jamal Alkabsh
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
| | - Hilary W Heuer
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Argentina Lario Lago
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Kimberly Scearce-Levie
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
- Present address: Kimberly Scearce-Levie: Cajal Neuroscience, Seattle, WA 98109, USA
| | - William W Seeley
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Bradley F Boeve
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Howard J Rosen
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Amy Berger
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
| | - Richard Tsai
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
| | - Gilbert Di Paolo
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
| | - Adam L Boxer
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, CA, 94158, USA
- These authors contributed equally
| | - Akhil Bhalla
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
- These authors contributed equally
| | - Fen Huang
- Denali Therapeutics Inc., 161 Oyster Point, South San Francisco, CA, 94080, USA
- These authors contributed equally
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4
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Smith EN, Lee J, Prilutsky D, Zicha S, Wang Z, Han S, Zach N. Plasma neurofilament light levels show elevation two years prior to diagnosis of amyotrophic lateral sclerosis in the UK Biobank. Amyotroph Lateral Scler Frontotemporal Degener 2024; 25:170-176. [PMID: 38013452 DOI: 10.1080/21678421.2023.2285428] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 11/14/2023] [Indexed: 11/29/2023]
Abstract
OBJECTIVE Amyotrophic lateral sclerosis (ALS) is a debilitating neurodegenerative disease with profound unmet need. In patients carrying genetic mutations, elevations in neurofilament light (NfL) have been shown to precede symptom onset, however, the natural history of NfL in general ALS patients is less characterized. METHODS We performed a secondary analysis of the UK Biobank Pharma Proteomics Project (UKB-PPP), a subset of the UK Biobank, a population-based cohort study in the United Kingdom, to examine plasma NfL levels in 237 participants subsequently diagnosed with ALS. We applied logistic and Cox proportional hazards regression to compare cases to 42,752 population-based and 948 age and sex-matched controls. Genetic information was obtained from exome and genotype array data.Results and Conclusions: We observed that NfL was 1.42-fold higher in cases vs population-based controls. At two to three years pre-diagnosis, NfL levels in patients exceeded the 95th percentile of age and sex-matched controls. A time-to-diagnosis analysis showed that a 2-fold increase in NfL levels was associated with a 3.4-fold risk of diagnosis per year, with NfL being most predictive of case status at two years (AUC = 0.96). Participants with genetic variation that might put them at risk for familial disease (N = 46) did not show a different pattern of association than those without (N = 191). DISCUSSION Our findings show that NfL is elevated and discriminative of future ALS diagnosis up to two years prior to diagnosis in patients with and without genetic risk variants.
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Affiliation(s)
- Erin N Smith
- Human Genetics and Systems Biology, Takeda Development Center Americas, Inc. San Diego, CA, USA
| | - Jonghun Lee
- Human Genetics and Systems Biology, Takeda Development Center Americas, Inc. Cambridge, MA, USA
| | - Daria Prilutsky
- Human Genetics and Systems Biology, Takeda Development Center Americas, Inc. Cambridge, MA, USA
| | - Stephen Zicha
- Neuroscience Translational Medicine, Takeda Development Center Americas, Inc. Cambridge, MA, USA, and
| | - Zemin Wang
- Neuroscience Translational Medicine, Takeda Development Center Americas, Inc. Cambridge, MA, USA, and
| | - Steve Han
- Neuroscience Therapeutic Area Unit, Takeda Development Center Americas, Inc. Cambridge, MA, USA
| | - Neta Zach
- Neuroscience Translational Medicine, Takeda Development Center Americas, Inc. Cambridge, MA, USA, and
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5
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Linnemann C, Wilke C, Mengel D, Zetterberg H, Heller C, Kuhle J, Bouzigues A, Russell LL, Foster PH, Ferry-Bolder E, Van Swieten JC, Jiskoot LC, Seelaar H, Moreno F, Borroni B, Sánchez-Valle R, Galimberti D, Laforce R, Graff C, Masellis M, Tartaglia MC, Rowe JB, Finger E, Vandenberghe R, de Mendonca A, Butler CR, Gerhard A, Ducharme S, Ber ILE, Tiraboschi P, Santana I, Pasquier F, Levin J, Otto M, Sorbi S, Rohrer JD, Synofzik M. NfL reliability across laboratories, stage-dependent diagnostic performance and matrix comparability in genetic FTD: a large GENFI study. J Neurol Neurosurg Psychiatry 2024:jnnp-2023-332464. [PMID: 38253362 DOI: 10.1136/jnnp-2023-332464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 12/31/2023] [Indexed: 01/24/2024]
Abstract
BACKGROUND Blood neurofilament light chain (NfL) is increasingly considered as a key trial biomarker in genetic frontotemporal dementia (gFTD). We aimed to facilitate the use of NfL in gFTD multicentre trials by testing its (1) reliability across labs; (2) reliability to stratify gFTD disease stages; (3) comparability between blood matrices and (4) stability across recruiting sites. METHODS Comparative analysis of blood NfL levels in a large gFTD cohort (GENFI) for (1)-(4), with n=344 samples (n=148 presymptomatic, n=11 converter, n=46 symptomatic subjects, with mutations in C9orf72, GRN or MAPT; and n=139 within-family controls), each measured in three different international labs by Simoa HD-1 analyzer. RESULTS NfL revealed an excellent consistency (intraclass correlation coefficient (ICC) 0.964) and high reliability across the three labs (maximal bias (pg/mL) in Bland-Altman analysis: 1.12±1.20). High concordance of NfL across laboratories was moreover reflected by high areas under the curve for discriminating conversion stage against the (non-converting) presymptomatic stage across all three labs. Serum and plasma NfL were largely comparable (ICC 0.967). The robustness of NfL across 13 recruiting sites was demonstrated by a linear mixed effect model. CONCLUSIONS Our results underline the suitability of blood NfL in gFTD multicentre trials, including cross-lab reliable stratification of the highly trial-relevant conversion stage, matrix comparability and cross-site robustness.
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Affiliation(s)
- Christoph Linnemann
- Division Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany
- Center of Old Age Psychiatry, Psychiatric University Hospital (UPK), University of Basel, Basel, Switzerland
| | - Carlo Wilke
- Division Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany
- Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - David Mengel
- Division Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany
- Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Henrik Zetterberg
- UK Dementia Research Institute at UCL, London, UK
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Carolin Heller
- UK Dementia Research Institute at UCL, London, UK
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland
| | - Arabella Bouzigues
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Lucy L Russell
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Phoebe H Foster
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Eve Ferry-Bolder
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | | | - Lize C Jiskoot
- Department of Neurology, Erasmus Medical Centre, Rotterdam, Netherlands
| | - Harro Seelaar
- Department of Neurology, Erasmus Medical Centre, Rotterdam, Netherlands
| | - Fermin Moreno
- Cognitive Disorders Unit, Department of Neurology, Donostia Universitary Hospital, San Sebastian, Spain
- Biodonostia Health Research Institute, Neuroscience Area, San Sebastian, Spain
| | - Barbara Borroni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Raquel Sánchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, Institut d'Investigacións Biomèdiques August Pi I Sunyer, University of Barcelona, Barcelona, Spain
| | - Daniela Galimberti
- IRCCS Ospedale Policlinico, Fondazione Ca' Granda, Milan, Italy
- Centro Dino Ferrari, University of Milan, Milan, Italy
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, and Faculté de Médecine, Université Laval, Québec, Alberta, Canada
| | - Caroline Graff
- Center for Alzheimer Research, Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Bioclinicum, Karolinska Institutet, Solna, Sweden
- Unit for Hereditary Dementias, Theme Aging, Karolinska University Hospital, Solna, Sweden
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - James Benedict Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, Ontario, Canada
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Leuven, Belgium
- Neurology Service, University Hospitals Leuven, Leuven, Belgium
| | | | - Chris R Butler
- Nuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford, Oxford, UK
- Department of Brain Sciences, Imperial College, London, UK
| | - Alexander Gerhard
- Division of Neuroscience and Experimental Psychology, Wolfson Molecular Imaging Centre, University of Manchester, Manchester, UK
- Department of Geriatric Medicine, Klinikum Hochsauerland, Arnsberg, Germany
| | - Simon Ducharme
- Department of Psychiatry, McGill University Health Centre, McGill University, Montreal, Québec, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Isabelle L E Ber
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP, Hôpital Pitié-Salpêtrière, Paris, France
- Centre de référence des démences rares ou précoces, IM2A, Département de Neurologie, AP-HP, Hôpital Pitié-Salpêtrière, Paris, France
| | | | - Isabel Santana
- Neurology Service, Faculty of Medicine, University Hospital of Coimbra (HUC), University of Coimbra, Coimbra, Portugal
- Center for Neuroscience and Cell Biology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | | | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians Universität München, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Sandro Sorbi
- Department of Neurofarba, University of Florence, Firenze, Italy
- Don Carlo Gnocchi, IRCCS Fondazione, Firenze, Italy
| | - Jonathan Daniel Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Matthis Synofzik
- Division Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany
- Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
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6
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Salvioli S, Basile MS, Bencivenga L, Carrino S, Conte M, Damanti S, De Lorenzo R, Fiorenzato E, Gialluisi A, Ingannato A, Antonini A, Baldini N, Capri M, Cenci S, Iacoviello L, Nacmias B, Olivieri F, Rengo G, Querini PR, Lattanzio F. Biomarkers of aging in frailty and age-associated disorders: State of the art and future perspective. Ageing Res Rev 2023; 91:102044. [PMID: 37647997 DOI: 10.1016/j.arr.2023.102044] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 09/01/2023]
Abstract
According to the Geroscience concept that organismal aging and age-associated diseases share the same basic molecular mechanisms, the identification of biomarkers of age that can efficiently classify people as biologically older (or younger) than their chronological (i.e. calendar) age is becoming of paramount importance. These people will be in fact at higher (or lower) risk for many different age-associated diseases, including cardiovascular diseases, neurodegeneration, cancer, etc. In turn, patients suffering from these diseases are biologically older than healthy age-matched individuals. Many biomarkers that correlate with age have been described so far. The aim of the present review is to discuss the usefulness of some of these biomarkers (especially soluble, circulating ones) in order to identify frail patients, possibly before the appearance of clinical symptoms, as well as patients at risk for age-associated diseases. An overview of selected biomarkers will be discussed in this regard, in particular we will focus on biomarkers related to metabolic stress response, inflammation, and cell death (in particular in neurodegeneration), all phenomena connected to inflammaging (chronic, low-grade, age-associated inflammation). In the second part of the review, next-generation markers such as extracellular vesicles and their cargos, epigenetic markers and gut microbiota composition, will be discussed. Since recent progresses in omics techniques have allowed an exponential increase in the production of laboratory data also in the field of biomarkers of age, making it difficult to extract biological meaning from the huge mass of available data, Artificial Intelligence (AI) approaches will be discussed as an increasingly important strategy for extracting knowledge from raw data and providing practitioners with actionable information to treat patients.
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Affiliation(s)
- Stefano Salvioli
- Department of Medical and Surgical Science, University of Bologna, Bologna, Italy; IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
| | | | - Leonardo Bencivenga
- Department of Translational Medical Sciences, University of Naples Federico II, Napoli, Italy
| | - Sara Carrino
- Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Maria Conte
- Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Sarah Damanti
- IRCCS Ospedale San Raffaele and Vita-Salute San Raffaele University, Milano, Italy
| | - Rebecca De Lorenzo
- IRCCS Ospedale San Raffaele and Vita-Salute San Raffaele University, Milano, Italy
| | - Eleonora Fiorenzato
- Parkinson's Disease and Movement Disorders Unit, Center for Rare Neurological Diseases (ERN-RND), Department of Neurosciences, University of Padova, Padova, Italy
| | - Alessandro Gialluisi
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy; EPIMED Research Center, Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Assunta Ingannato
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy; IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Angelo Antonini
- Parkinson's Disease and Movement Disorders Unit, Center for Rare Neurological Diseases (ERN-RND), Department of Neurosciences, University of Padova, Padova, Italy; Center for Neurodegenerative Disease Research (CESNE), Department of Neurosciences, University of Padova, Padova, Italy
| | - Nicola Baldini
- IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Miriam Capri
- Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Simone Cenci
- IRCCS Ospedale San Raffaele and Vita-Salute San Raffaele University, Milano, Italy
| | - Licia Iacoviello
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy; EPIMED Research Center, Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy; IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Fabiola Olivieri
- Department of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy; Clinic of Laboratory and Precision Medicine, IRCCS INRCA, Ancona, Italy
| | - Giuseppe Rengo
- Department of Translational Medical Sciences, University of Naples Federico II, Napoli, Italy; Istituti Clinici Scientifici Maugeri IRCCS, Scientific Institute of Telese Terme, Telese Terme, Italy
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7
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Giannini LAA, Seelaar H, van der Ende EL, Poos JM, Jiskoot LC, Dopper EGP, Pijnenburg YAL, Willemse EAJ, Vermunt L, Teunissen CE, van Swieten JC, Meeter LH. Clinical Value of Longitudinal Serum Neurofilament Light Chain in Prodromal Genetic Frontotemporal Dementia. Neurology 2023; 101:e1069-e1082. [PMID: 37491327 PMCID: PMC10491440 DOI: 10.1212/wnl.0000000000207581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 05/10/2023] [Indexed: 07/27/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Elevated serum neurofilament light chain (NfL) is used to identify carriers of genetic frontotemporal dementia (FTD) pathogenic variants approaching prodromal conversion. Yet, the magnitude and timeline of NfL increase are still unclear. Here, we investigated the predictive and early diagnostic value of longitudinal serum NfL for the prodromal conversion in genetic FTD. METHODS In a longitudinal observational cohort study of genetic FTD pathogenic variant carriers, we examined the diagnostic accuracy and conversion risk associated with cross-sectional and longitudinal NfL. Time periods relative to prodromal conversion (>3, 3-1.5, 1.5-0 years before; 0-1.5 years after) were compared with values of participants who did not convert. Next, we modeled longitudinal NfL and MRI volume trajectories to determine their timeline. RESULTS We included 21 participants who converted (5 chromosome 9 open-reading frame 72 [C9orf72], 10 progranulin [GRN], 5 microtubule-associated protein tau [MAPT], and 1 TAR DNA-binding protein [TARDBP]) and 61 who did not (20 C9orf72, 30 GRN, and 11 MAPT). Participants who converted had higher NfL levels at all examined periods before prodromal conversion (median values 14.0-18.2 pg/mL; betas = 0.4-0.7, standard error [SE] = 0.1, p < 0.046) than those who did not (6.5 pg/mL) and showed further increase 0-1.5 years after conversion (28.4 pg/mL; beta = 1.0, SE = 0.1, p < 0.001). Annualized longitudinal NfL change was only significantly higher in participants who converted (vs. participants who did not) 0-1.5 years after conversion (beta = 1.2, SE = 0.3, p = 0.001). Diagnostic accuracy of cross-sectional NfL for prodromal conversion (vs. nonconversion) was good-to-excellent at time periods before conversion (area under the curve range: 0.72-0.92), improved 0-1.5 years after conversion (0.94-0.97), and outperformed annualized longitudinal change (0.76-0.84). NfL increase in participants who converted occurred earlier than frontotemporal MRI volume change and differed by genetic group and clinical phenotypes. Higher NfL corresponded to increased conversion risk (hazard ratio: cross-sectional = 6.7 [95% CI 3.3-13.7]; longitudinal = 13.0 [95% CI 4.0-42.8]; p < 0.001), but conversion-free follow-up time varied greatly across participants. DISCUSSION NfL increase discriminates individuals who convert to prodromal FTD from those who do not, preceding significant frontotemporal MRI volume loss. However, NfL alone is limited in predicting the exact timing of prodromal conversion. NfL levels also vary depending on underlying variant-carrying genes and clinical phenotypes. These findings help to guide participant recruitment for clinical trials targeting prodromal genetic FTD.
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Affiliation(s)
- Lucia A A Giannini
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - Harro Seelaar
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - Emma L van der Ende
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - Jackie M Poos
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - Lize C Jiskoot
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - Elise G P Dopper
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - Yolande A L Pijnenburg
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - Eline A J Willemse
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - Lisa Vermunt
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - Charlotte E Teunissen
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - John C van Swieten
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands
| | - Lieke H Meeter
- From the Department of Neurology (L.A.A.G., H.S., J.M.P., L.C.J., E.G.P.D., J.C.S., L.H.M.), Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam; Amsterdam Neuroscience (E.L.E., Y.A.L.P., E.A.J.W., L.V., C.E.T.), Neurodegeneration; Neurochemistry Laboratory (E.L.E., E.A.J.W., L.V., C.E.T.), Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit; and Alzheimer Center Amsterdam (Y.A.L.P.), Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, The Netherlands.
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Mengel D, Wellik IG, Schuster KH, Jarrah SI, Wacker M, Ashraf NS, Öz G, Synofzik M, Costa MDC, McLoughlin HS. Blood levels of neurofilament light are associated with disease progression in a mouse model of spinocerebellar ataxia type 3. Dis Model Mech 2023; 16:dmm050144. [PMID: 37664882 PMCID: PMC10499033 DOI: 10.1242/dmm.050144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 08/15/2023] [Indexed: 09/05/2023] Open
Abstract
Increased neurofilament light (NfL; NEFL) protein in biofluids is reflective of neurodegeneration and has gained interest as a biomarker across neurodegenerative diseases. In spinocerebellar ataxia type 3 (SCA3), the most common dominantly inherited ataxia, patients exhibit progressive NfL increases in peripheral blood when becoming symptomatic, and NfL remains stably elevated throughout further disease course. However, progressive NfL changes are not yet validated in relevant preclinical SCA3 animal models, hindering its application as a biomarker during therapeutic development. We used ultra-sensitive single-molecule array (Simoa) to measure blood NfL over disease progression in YACQ84 mice, a model of SCA3, assessing relationships with measures of disease severity including age, CAG repeat size and magnetic resonance spectroscopy. YACQ84 mice exhibited plasma NfL increases that were concomitant with ataxia-related motor deficits as well as increased serum NfL, which correlated with previously established neurometabolite abnormalities, two relevant measures of disease in patients with SCA3. Our findings establish the progression of NfL increases in the preclinical YACQ84 mouse, further supporting the utility of blood NfL as a peripheral neurodegeneration biomarker and informing on coinciding timelines of different measures of SCA3 pathogenesis.
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Affiliation(s)
- David Mengel
- Research Division Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen 72076,Germany
- German Center for Neurodegenerative Diseases (DZNE), University of Tübingen, Tübingen 72076, Germany
| | - Isabel G. Wellik
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109-2200, USA
| | - Kristen H. Schuster
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109-2200, USA
| | - Sabrina I. Jarrah
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109-2200, USA
| | - Madeleine Wacker
- Research Division Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen 72076,Germany
- German Center for Neurodegenerative Diseases (DZNE), University of Tübingen, Tübingen 72076, Germany
| | - Naila S. Ashraf
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109-2200, USA
| | - Gülin Öz
- Center for Magnetic Resonance Research, Department of Radiology, Medical School, University of Minnesota, Minneapolis, MN 55455, USA
| | - Matthis Synofzik
- Research Division Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen 72076,Germany
- German Center for Neurodegenerative Diseases (DZNE), University of Tübingen, Tübingen 72076, Germany
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9
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Grossman M, Seeley WW, Boxer AL, Hillis AE, Knopman DS, Ljubenov PA, Miller B, Piguet O, Rademakers R, Whitwell JL, Zetterberg H, van Swieten JC. Frontotemporal lobar degeneration. Nat Rev Dis Primers 2023; 9:40. [PMID: 37563165 DOI: 10.1038/s41572-023-00447-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/12/2023] [Indexed: 08/12/2023]
Abstract
Frontotemporal lobar degeneration (FTLD) is one of the most common causes of early-onset dementia and presents with early social-emotional-behavioural and/or language changes that can be accompanied by a pyramidal or extrapyramidal motor disorder. About 20-25% of individuals with FTLD are estimated to carry a mutation associated with a specific FTLD pathology. The discovery of these mutations has led to important advances in potentially disease-modifying treatments that aim to slow progression or delay disease onset and has improved understanding of brain functioning. In both mutation carriers and those with sporadic disease, the most common underlying diagnoses are linked to neuronal and glial inclusions containing tau (FTLD-tau) or TDP-43 (FTLD-TDP), although 5-10% of patients may have inclusions containing proteins from the FUS-Ewing sarcoma-TAF15 family (FTLD-FET). Biomarkers definitively identifying specific pathological entities in sporadic disease have been elusive, which has impeded development of disease-modifying treatments. Nevertheless, disease-monitoring biofluid and imaging biomarkers are becoming increasingly sophisticated and are likely to serve as useful measures of treatment response during trials of disease-modifying treatments. Symptomatic trials using novel approaches such as transcranial direct current stimulation are also beginning to show promise.
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Affiliation(s)
- Murray Grossman
- Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - William W Seeley
- Departments of Neurology and Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA.
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA.
| | - Adam L Boxer
- Departments of Neurology and Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Argye E Hillis
- Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | | | - Peter A Ljubenov
- Departments of Neurology and Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Bruce Miller
- Departments of Neurology and Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Olivier Piguet
- School of Psychology and Brain and Mind Center, University of Sydney, Sydney, New South Wales, Australia
| | - Rosa Rademakers
- VIB Center for Molecular Neurology, University of Antwerp, Antwerp, Belgium
| | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The University of Gothenburg, Mölndal, Sweden
- Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
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10
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Abstract
PURPOSE OF REVIEW Young-onset dementia (YOD) refers to a dementia for which symptom onset occurs below the age of 65. This review summarizes the recent literature in this area, focusing on updates in epidemiology, diagnosis and service provision. RECENT FINDINGS In the last year, internationally, the prevalence of YOD was reported as 119 per 100 000, but this may vary according to population types. Although the commonest causes of YOD are Alzheimer's disease (AD) and frontotemporal dementia (FTD), there is increasing recognition that YOD is diagnostically and phenotypically broader than AD and FTD. YOD may be due to many other diseases (e.g. Huntington's disease, vascular dementia) whereas accumulation of the same protein (e.g. amyloid protein) may lead to different phenotypes of Alzheimer's disease (such as posterior cortical atrophy and behavioural-variant/frontal-variant AD). This heterogeneity of phenotypic presentation is also seen in YOD due to known genetic mutations. Biomarkers such as plasma and cerebrospinal fluid proteins, neuroimaging and genetics have shown promise in the early identification of YOD as well as providing further understanding behind the overlap between psychiatric and neurodegenerative conditions occurring in younger people. The management of YOD needs to consider age-specific issues for younger people with dementia and their family networks together with better integration with other health services such as aged, disability and improved access to services and financial assistance. SUMMARY These findings emphasize the need for early identification and appropriate age-specific and person-centred management for people with young-onset dementia.
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Affiliation(s)
- Samantha M Loi
- Department of Neuropsychiatry, Royal Melbourne Hospital
- Department of Psychiatry, University of Melbourne, Parkville, VIC, Australia
| | - Yolande Pijnenburg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Dennis Velakoulis
- Department of Neuropsychiatry, Royal Melbourne Hospital
- Department of Psychiatry, University of Melbourne, Parkville, VIC, Australia
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11
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Mengel D, Wellik IG, Schuster KH, Jarrah SI, Wacker M, Ashraf NS, Öz G, Synofzik M, do Carmo Costa M, McLoughlin HS. Blood neurofilament light chain levels are associated with disease progression in a transgenic SCA3 mouse model. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.28.530463. [PMID: 36909535 PMCID: PMC10002656 DOI: 10.1101/2023.02.28.530463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
Increased neurofilament light (NfL) protein in biofluids is reflective of neurodegeneration and has gained interest as a biomarker across neurodegenerative diseases. In spinocerebellar ataxia type 3 (SCA3), the most common dominantly inherited ataxia, patients exhibit progressive NfL increases in peripheral blood when becoming symptomatic, remaining stably elevated throughout further disease course. However, progressive NfL changes are not yet validated in relevant preclinical SCA3 animal models, hindering its application as a biomarker during therapeutic development. We used ultra-sensitive single-molecule array (Simoa) to measure blood NfL over disease progression in the YACQ84 mouse, assessing relationships with measures of disease severity including age, CAG repeat size, and magnetic resonance spectroscopy. We show that YACQ84 mice exhibit increased blood NfL, concomitant with ataxia-related motor deficits and correlated with neurometabolite abnormalities. Our findings establish natural history progression of NfL increases in the preclinical YACQ84 mouse, further supporting the utility of blood NfL as a peripheral neurodegeneration biomarker and informing coinciding timelines of different measures of SCA3 pathogenesis. Summary statement Peripheral blood of SCA3 YACQ84 mice exhibits increased abundance of neuronal-specific NfL protein directly associating with disease progression, providing an accessible disease biofluid biomarker to interrogate in preclinical therapeutic studies.
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Affiliation(s)
- David Mengel
- Research Division Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), University of Tübingen, Tübingen, Germany
| | - Isabel G. Wellik
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | | | | | - Madeleine Wacker
- Research Division Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), University of Tübingen, Tübingen, Germany
| | - Naila S. Ashraf
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | - Gülin Öz
- Center for Magnetic Resonance Research, Department of Radiology, Medical School, University of Minnesota, Minneapolis, MN, USA
| | - Matthis Synofzik
- Research Division Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), University of Tübingen, Tübingen, Germany
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12
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Zetterberg H, Teunissen C, van Swieten J, Kuhle J, Boxer A, Rohrer JD, Mitic L, Nicholson AM, Pearlman R, McCaughey SM, Tatton N. The role of neurofilament light in genetic frontotemporal lobar degeneration. Brain Commun 2023; 5:fcac310. [PMID: 36694576 PMCID: PMC9866262 DOI: 10.1093/braincomms/fcac310] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 09/26/2022] [Accepted: 11/23/2022] [Indexed: 11/27/2022] Open
Abstract
Genetic frontotemporal lobar degeneration caused by autosomal dominant gene mutations provides an opportunity for targeted drug development in a highly complex and clinically heterogeneous dementia. These neurodegenerative disorders can affect adults in their middle years, progress quickly relative to other dementias, are uniformly fatal and have no approved disease-modifying treatments. Frontotemporal dementia, caused by mutations in the GRN gene which encodes the protein progranulin, is an active area of interventional drug trials that are testing multiple strategies to restore progranulin protein deficiency. These and other trials are also examining neurofilament light as a potential biomarker of disease activity and disease progression and as a therapeutic endpoint based on the assumption that cerebrospinal fluid and blood neurofilament light levels are a surrogate for neuroaxonal damage. Reports from genetic frontotemporal dementia longitudinal studies indicate that elevated concentrations of blood neurofilament light reflect disease severity and are associated with faster brain atrophy. To better inform patient stratification and treatment response in current and upcoming clinical trials, a more nuanced interpretation of neurofilament light as a biomarker of neurodegeneration is now required, one that takes into account its relationship to other pathophysiological and topographic biomarkers of disease progression from early presymptomatic to later clinically symptomatic stages.
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Affiliation(s)
- Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden.,Clinical Chemistry, Sahlgrenska University Hospital, Gothenburg, Sweden.,Dementia Research Institute, University College London, London, UK.,DRI Fluid Biomarker Laboratory, Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Charlotte Teunissen
- Department of Clinical Chemistry, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - John van Swieten
- Department of Neurology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Jens Kuhle
- Department of Clinical Research, Department of Neurology, Department of Biomedicine, Multiple Sclerosis Centre, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Adam Boxer
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Jonathan D Rohrer
- Queen Square UCL Institute of Neurology, Dementia Research Centre, UK Dementia Research Institute, University College London, London, UK
| | - Laura Mitic
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA.,The Bluefield Project to Cure FTD, San Francisco, CA, USA
| | - Alexandra M Nicholson
- The Bluefield Project to Cure FTD, San Francisco, CA, USA.,Department of Neuroscience, Mayo Clinic Jacksonville, Jacksonville, FL, USA
| | | | | | - Nadine Tatton
- Medical Affairs, Alector, Inc., South San Francisco, CA, USA
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13
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Götze K, Vrillon A, Bouaziz-Amar E, Mouton-Liger F, Hugon J, Martinet M, Dumurgier J, Cognat E, Zetterberg H, Blennow K, Hourrègue C, Paquet C, Lilamand M. Plasma neurofilament light chain in memory clinic practice: Evidence from a real-life study. Neurobiol Dis 2023; 176:105937. [PMID: 36462720 DOI: 10.1016/j.nbd.2022.105937] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Revised: 11/21/2022] [Accepted: 11/29/2022] [Indexed: 12/05/2022] Open
Abstract
OBJECTIVE To explore the accuracy of plasma neurofilament light chain (NfL) as a biomarker for diagnosis and staging of cognitive impairment, in a large cohort with of previously diagnosed patients in clinical practice. METHODS Retrospective, cross-sectional, monocentric study, from a tertiary memory clinic. Patients underwent cerebrospinal fluid core Alzheimer's disease (AD) biomarker evaluation using ELISA or Elecsys methods, and plasma NfL analysis using the single molecule array technology. The patients' biomarker data were examined for associations with: i/cognitive status ii/presence of neurodegenerative disease and iii/diagnostic groups. Associations between core CSF biomarkers and plasma NfL were determined. RESULTS Participants (N = 558, mean age = 69.2 ± 8.8, 56.5% women) were diagnosed with AD (n = 274, considering dementia and MCI stages), frontotemporal dementia (FTD, n = 55), Lewy body disease (LBD, n = 40, considering MCI and dementia stages), other neurodegenerative diseases, n = 57 (e.g Supranuclear Palsy, Corticobasal syndrome), non-neurodegenerative cognitive impairment (NND, n = 79, e.g. vascular lesions, epilepsy or psychiatric disorders) or subjective cognitive impairment (SCI, n = 53). Mean plasma NfL (log, pg/mL) levels were higher in neurodegenerative than non-neurodegenerative disorders (1.35 ± 0.2 vs 1.16 ± 0.23, p < 0.001), higher in all diagnostic groups than in SCI (1.06 ± 0.23) p < 0.001), and associated with the stage of cognitive impairment (p < 0.001). The addition of plasma NfL to a clinical model (age, MMSE and APOE ε4 carriership) marginally improved the discrimination of degenerative from non-degenerative disorders in ROC analysis (AUC clinical model: 0.81, 95% CI = [0.77;0.85] AUC clinical model + plasma NfL: AUC = 0.83 95% CI = [0.78;0.87], delta Akaike information criterion = -11.7). DISCUSSION Plasma NfL could help discrimination between degenerative and non-degenerative cognitive disorders, albeit not better than comprehensive clinical evaluation.
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Affiliation(s)
- Karl Götze
- Cognitive Neurology Center, Lariboisière Hospital (GHU AP-HP.Nord), Paris, France; Inserm Unit UMR S-1144, Paris, France.
| | - Agathe Vrillon
- Cognitive Neurology Center, Lariboisière Hospital (GHU AP-HP.Nord), Paris, France; Inserm Unit UMR S-1144, Paris, France
| | - Elodie Bouaziz-Amar
- Inserm Unit UMR S-1144, Paris, France; Biochemistery Department, Lariboisière Hospital (GHU AP-HP.Nord), Paris, France
| | | | - Jacques Hugon
- Cognitive Neurology Center, Lariboisière Hospital (GHU AP-HP.Nord), Paris, France; Inserm Unit UMR S-1144, Paris, France
| | | | - Julien Dumurgier
- Cognitive Neurology Center, Lariboisière Hospital (GHU AP-HP.Nord), Paris, France
| | - Emmanuel Cognat
- Cognitive Neurology Center, Lariboisière Hospital (GHU AP-HP.Nord), Paris, France; Inserm Unit UMR S-1144, Paris, France
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Physiology and Neuroscience, University of Gothenburg, Gothenburg, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK; UK Dementia Research Institute at UCL, London, UK; Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Physiology and Neuroscience, University of Gothenburg, Gothenburg, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Claire Hourrègue
- Cognitive Neurology Center, Lariboisière Hospital (GHU AP-HP.Nord), Paris, France
| | - Claire Paquet
- Cognitive Neurology Center, Lariboisière Hospital (GHU AP-HP.Nord), Paris, France; Inserm Unit UMR S-1144, Paris, France
| | - Matthieu Lilamand
- Cognitive Neurology Center, Lariboisière Hospital (GHU AP-HP.Nord), Paris, France; Inserm Unit UMR S-1144, Paris, France
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14
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Woollacott IOC, Swift IJ, Sogorb‐Esteve A, Heller C, Knowles K, Bouzigues A, Russell LL, Peakman G, Greaves CV, Convery R, Heslegrave A, Rowe JB, Borroni B, Galimberti D, Tiraboschi P, Masellis M, Tartaglia MC, Finger E, van Swieten JC, Seelaar H, Jiskoot L, Sorbi S, Butler CR, Graff C, Gerhard A, Laforce R, Sanchez‐Valle R, de Mendonça A, Moreno F, Synofzik M, Vandenberghe R, Ducharme S, Ber IL, Levin J, Otto M, Pasquier F, Santana I, Zetterberg H, Rohrer JD. CSF glial markers are elevated in a subset of patients with genetic frontotemporal dementia. Ann Clin Transl Neurol 2022; 9:1764-1777. [PMID: 36245297 PMCID: PMC9639635 DOI: 10.1002/acn3.51672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 09/13/2022] [Accepted: 09/14/2022] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Neuroinflammation has been shown to be an important pathophysiological disease mechanism in frontotemporal dementia (FTD). This includes activation of microglia, a process that can be measured in life through assaying different glia-derived biomarkers in cerebrospinal fluid. However, only a few studies so far have taken place in FTD, and even fewer focusing on the genetic forms of FTD. METHODS We investigated the cerebrospinal fluid concentrations of TREM2, YKL-40 and chitotriosidase using immunoassays in 183 participants from the Genetic FTD Initiative (GENFI) study: 49 C9orf72 (36 presymptomatic, 13 symptomatic), 49 GRN (37 presymptomatic, 12 symptomatic) and 23 MAPT (16 presymptomatic, 7 symptomatic) mutation carriers and 62 mutation-negative controls. Concentrations were compared between groups using a linear regression model adjusting for age and sex, with 95% bias-corrected bootstrapped confidence intervals. Concentrations in each group were correlated with the Mini-Mental State Examination (MMSE) score using non-parametric partial correlations adjusting for age. Age-adjusted z-scores were also created for the concentration of markers in each participant, investigating how many had a value above the 95th percentile of controls. RESULTS Only chitotriosidase in symptomatic GRN mutation carriers had a concentration significantly higher than controls. No group had higher TREM2 or YKL-40 concentrations than controls after adjusting for age and sex. There was a significant negative correlation of chitotriosidase concentration with MMSE in presymptomatic GRN mutation carriers. In the symptomatic groups, for TREM2 31% of C9orf72, 25% of GRN, and 14% of MAPT mutation carriers had a concentration above the 95th percentile of controls. For YKL-40 this was 8% C9orf72, 8% GRN and 0% MAPT mutation carriers, whilst for chitotriosidase it was 23% C9orf72, 50% GRN, and 29% MAPT mutation carriers. CONCLUSIONS Although chitotriosidase concentrations in GRN mutation carriers were the only significantly raised glia-derived biomarker as a group, a subset of mutation carriers in all three groups, particularly for chitotriosidase and TREM2, had elevated concentrations. Further work is required to understand the variability in concentrations and the extent of neuroinflammation across the genetic forms of FTD. However, the current findings suggest limited utility of these measures in forthcoming trials.
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Affiliation(s)
- Ione O. C. Woollacott
- Department of Neurodegenerative Disease, Dementia Research CentreUCL Institute of Neurology, Queen SquareLondonUnited Kingdom
| | - Imogen J. Swift
- Department of Neurodegenerative Disease, Dementia Research CentreUCL Institute of Neurology, Queen SquareLondonUnited Kingdom
- UK Dementia Research Institute at UCLLondonUnited Kingdom
| | - Aitana Sogorb‐Esteve
- Department of Neurodegenerative Disease, Dementia Research CentreUCL Institute of Neurology, Queen SquareLondonUnited Kingdom
- UK Dementia Research Institute at UCLLondonUnited Kingdom
| | - Carolin Heller
- Department of Neurodegenerative Disease, Dementia Research CentreUCL Institute of Neurology, Queen SquareLondonUnited Kingdom
- UK Dementia Research Institute at UCLLondonUnited Kingdom
| | - Kathryn Knowles
- Department of Neurodegenerative Disease, Dementia Research CentreUCL Institute of Neurology, Queen SquareLondonUnited Kingdom
- UK Dementia Research Institute at UCLLondonUnited Kingdom
| | - Arabella Bouzigues
- Department of Neurodegenerative Disease, Dementia Research CentreUCL Institute of Neurology, Queen SquareLondonUnited Kingdom
| | - Lucy L. Russell
- Department of Neurodegenerative Disease, Dementia Research CentreUCL Institute of Neurology, Queen SquareLondonUnited Kingdom
| | - Georgia Peakman
- Department of Neurodegenerative Disease, Dementia Research CentreUCL Institute of Neurology, Queen SquareLondonUnited Kingdom
| | - Caroline V. Greaves
- Department of Neurodegenerative Disease, Dementia Research CentreUCL Institute of Neurology, Queen SquareLondonUnited Kingdom
| | - Rhian Convery
- Department of Neurodegenerative Disease, Dementia Research CentreUCL Institute of Neurology, Queen SquareLondonUnited Kingdom
| | | | - James B. Rowe
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust and Medical Research Council Cognition and Brain Sciences UnitUniversity of CambridgeCambridgeUnited Kingdom
| | - Barbara Borroni
- Centre for Neurodegenerative Disorders, Department of Clinical and Experimental SciencesUniversity of BresciaBresciaItaly
| | - Daniela Galimberti
- Department of Biomedical, Surgical and Dental SciencesUniversity of MilanMilanItaly
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore PoliclinicoMilanItaly
| | | | - Mario Masellis
- Sunnybrook Health Sciences Centre, Sunnybrook Research InstituteUniversity of TorontoTorontoCanada
| | | | - Elizabeth Finger
- Department of Clinical Neurological SciencesUniversity of Western OntarioLondonOntarioCanada
| | | | - Harro Seelaar
- Department of NeurologyErasmus Medical CentreRotterdamThe Netherlands
| | - Lize Jiskoot
- Department of NeurologyErasmus Medical CentreRotterdamThe Netherlands
| | - Sandro Sorbi
- Department of NeurofarbaUniversity of FlorenceFlorenceItaly
- IRCCS Fondazione Don Carlo GnocchiFlorenceItaly
| | - Chris R. Butler
- Nuffield Department of Clinical Neurosciences, Medical Sciences DivisionUniversity of OxfordOxfordUnited Kingdom
- Department of Brain SciencesImperial College LondonUnited Kingdom
| | - Caroline Graff
- Center for Alzheimer Research, Division of Neurogeriatrics, Department of NeurobiologyCare Sciences and Society, Bioclinicum, Karolinska InstitutetSolnaSweden
- Unit for Hereditary Dementias, Theme AgingKarolinska University HospitalSolnaSweden
| | - Alexander Gerhard
- Division of Neuroscience and Experimental Psychology, Wolfson Molecular Imaging CentreUniversity of ManchesterManchesterUnited Kingdom
- Departments of Geriatric Medicine and Nuclear MedicineUniversity of Duisburg‐EssenEssenGermany
- Cerebral Function Unit, Manchester Centre for Clinical NeurosciencesSalford Royal NHS Foundation TrustSalfordUnited Kingdom
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, and Faculté de MédecineUniversité LavalQuébecCanada
| | - Raquel Sanchez‐Valle
- Alzheimer's disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, Institut d'Investigacións Biomèdiques August Pi I SunyerUniversity of BarcelonaBarcelonaSpain
| | | | - Fermin Moreno
- Cognitive Disorders Unit, Department of NeurologyDonostia University HospitalSan SebastianGipuzkoaSpain
- Neuroscience AreaBiodonostia Health Research InstituteSan SebastianGipuzkoaSpain
| | - Matthis Synofzik
- Department of Neurodegenerative Diseases, Hertie‐Institute for Clinical Brain Research and Center of NeurologyUniversity of TübingenTübingenGermany
- Center for Neurodegenerative Diseases (DZNE)TübingenGermany
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of NeurosciencesKU LeuvenLeuvenBelgium
- Neurology ServiceUniversity Hospitals LeuvenLeuvenBelgium
- Leuven Brain Institute, KU LeuvenLeuvenBelgium
| | - Simon Ducharme
- Douglas Mental Health University Institute, Department of PsychiatryMcGill UniversityMontrealCanada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Department of Neurology & NeurosurgeryMcGill UniversityMontrealCanada
| | - Isabelle Le Ber
- Sorbonne Université, Paris Brain Institute – Institut du Cerveau – ICM, Inserm U1127, CNRS UMR 7225, AP‐HP ‐ Hôpital Pitié‐SalpêtrièreParisFrance
- Centre de référence des démences rares ou précoces, IM2A, Département de NeurologieAP‐HP ‐ Hôpital Pitié‐SalpêtrièreParisFrance
- Département de NeurologieAP‐HP ‐ Hôpital Pitié‐SalpêtrièreParisFrance
| | - Johannes Levin
- Neurologische Klinik und Poliklinik, Ludwig‐Maximilians‐UniversitätMunichGermany
- Center for Neurodegenerative Diseases (DZNE)MunichGermany
- Munich Cluster of Systems NeurologyMunichGermany
| | - Markus Otto
- Department of NeurologyUniversity of UlmUlmGermany
| | - Florence Pasquier
- Univ LilleLilleFrance
- Inserm 1172LilleFrance
- CHU, CNR‐MAJ, Labex Distalz, LiCEND LilleLilleFrance
| | - Isabel Santana
- Neurology Service, Faculty of MedicineUniversity Hospital of Coimbra (HUC), University of CoimbraCoimbraPortugal
- Center for Neuroscience and Cell Biology, Faculty of MedicineUniversity of CoimbraCoimbraPortugal
| | - Henrik Zetterberg
- UK Dementia Research Institute at UCLLondonUnited Kingdom
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Hong Kong Center for Neurodegenerative DiseasesClear Water Bay, Hong KongChina
| | - Jonathan D. Rohrer
- Department of Neurodegenerative Disease, Dementia Research CentreUCL Institute of Neurology, Queen SquareLondonUnited Kingdom
- UK Dementia Research Institute at UCLLondonUnited Kingdom
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15
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Petzold A. The 2022 Lady Estelle Wolfson lectureship on neurofilaments. J Neurochem 2022; 163:179-219. [PMID: 35950263 PMCID: PMC9826399 DOI: 10.1111/jnc.15682] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 07/19/2022] [Accepted: 07/21/2022] [Indexed: 01/11/2023]
Abstract
Neurofilament proteins (Nf) have been validated and established as a reliable body fluid biomarker for neurodegenerative pathology. This review covers seven Nf isoforms, Nf light (NfL), two splicing variants of Nf medium (NfM), two splicing variants of Nf heavy (NfH), α -internexin (INA) and peripherin (PRPH). The genetic and epigenetic aspects of Nf are discussed as relevant for neurodegenerative diseases and oncology. The comprehensive list of mutations for all Nf isoforms covers Amyotrophic Lateral Sclerosis, Charcot-Marie Tooth disease, Spinal muscular atrophy, Parkinson Disease and Lewy Body Dementia. Next, emphasis is given to the expanding field of post-translational modifications (PTM) of the Nf amino acid residues. Protein structural aspects are reviewed alongside PTMs causing neurodegenerative pathology and human autoimmunity. Molecular visualisations of NF PTMs, assembly and stoichiometry make use of Alphafold2 modelling. The implications for Nf function on the cellular level and axonal transport are discussed. Neurofilament aggregate formation and proteolytic breakdown are reviewed as relevant for biomarker tests and disease. Likewise, Nf stoichiometry is reviewed with regard to in vitro experiments and as a compensatory mechanism in neurodegeneration. The review of Nf across a spectrum of 87 diseases from all parts of medicine is followed by a critical appraisal of 33 meta-analyses on Nf body fluid levels. The review concludes with considerations for clinical trial design and an outlook for future research.
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Affiliation(s)
- Axel Petzold
- Department of NeurodegenerationQueen Square Insitute of Neurology, UCLLondonUK
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16
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Delaby C, Bousiges O, Bouvier D, Fillée C, Fourier A, Mondésert E, Nezry N, Omar S, Quadrio I, Rucheton B, Schraen-Maschke S, van Pesch V, Vicca S, Lehmann S, Bedel A. Neurofilaments contribution in clinic: state of the art. Front Aging Neurosci 2022; 14:1034684. [PMID: 36389064 PMCID: PMC9664201 DOI: 10.3389/fnagi.2022.1034684] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 10/10/2022] [Indexed: 07/26/2023] Open
Abstract
Neurological biomarkers are particularly valuable to clinicians as they can be used for diagnosis, prognosis, or response to treatment. This field of neurology has evolved considerably in recent years with the improvement of analytical methods, allowing the detection of biomarkers not only in cerebrospinal fluid (CSF) but also in less invasive fluids like blood. These advances greatly facilitate the repeated quantification of biomarkers, including at asymptomatic stages of the disease. Among the various informative biomarkers of neurological disorders, neurofilaments (NfL) have proven to be of particular interest in many contexts, such as neurodegenerative diseases, traumatic brain injury, multiple sclerosis, stroke, and cancer. Here we discuss these different pathologies and the potential value of NfL assay in the management of these patients, both for diagnosis and prognosis. We also describe the added value of NfL compared to other biomarkers currently used to monitor the diseases described in this review.
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Affiliation(s)
- Constance Delaby
- Université de Montpellier, IRMB, INM, INSERM, CHU de Montpellier, Laboratoire Biochimie-Protéomique clinique, Montpellier, France
- Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau—Biomedical Research Institute Sant Pau—Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Olivier Bousiges
- Laboratoire de biochimie et biologie moléculaire (LBBM)—Pôle de biologie Hôpital de Hautepierre—CHU de Strasbourg, CNRS, laboratoire ICube UMR 7357 et FMTS (Fédération de Médecine Translationnelle de Strasbourg), équipe IMIS, Strasbourg, France
| | - Damien Bouvier
- Service de Biochimie et Génétique Moléculaire, CHU de Clermont-Ferrand, Clermont-Ferrand, France
| | - Catherine Fillée
- Cliniques universitaires Saint-Luc UCLouvain, Service de Biochimie Médicale, Brussels, Belgium
| | - Anthony Fourier
- Biochimie et Biologie Moléculaire—LBMMS, Unité de diagnostic des pathologies dégénératives, Centre de Biologie et Pathologie Est, Groupement Hospitalier Est, Lyon, France
| | - Etienne Mondésert
- Université de Montpellier, IRMB, INM, INSERM, CHU de Montpellier, Laboratoire Biochimie-Protéomique clinique, Montpellier, France
| | - Nicolas Nezry
- Univ. Lille, Inserm, CHU Lille, UMR-S-U1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France
| | - Souheil Omar
- Laboratoire de biologie médicale de l’Institut de Neurologie de Tunis, Tunis, Tunisia
| | - Isabelle Quadrio
- Biochimie et Biologie Moléculaire—LBMMS, Unité de diagnostic des pathologies dégénératives, Centre de Biologie et Pathologie Est, Groupement Hospitalier Est, Lyon, France
| | - Benoit Rucheton
- Laboratoire de Biologie, Institut Bergonié, Bordeaux, France
| | - Susanna Schraen-Maschke
- Univ. Lille, Inserm, CHU Lille, UMR-S-U1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France
| | - Vincent van Pesch
- Cliniques universitaires Saint-Luc UCLouvain, Service de Neurologie, Brussels, Belgium
| | - Stéphanie Vicca
- Hôpital Necker-Enfants malades, Paris, Laboratoire de Biochimie générale, DMU BioPhyGen, AP-HP.Centre—Université de Paris, Paris, France
| | - Sylvain Lehmann
- Université de Montpellier, IRMB, INM, INSERM, CHU de Montpellier, Laboratoire Biochimie-Protéomique clinique, Montpellier, France
| | - Aurelie Bedel
- Service de Biochimie, CHU Pellegrin, Bordeaux, France
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17
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Ooi S, Patel SK, Eratne D, Kyndt C, Reidy N, Lewis C, Lee SC, Darby D, Brodtmann A. Plasma Neurofilament Light Chain and Clinical Diagnosis in Frontotemporal Dementia Syndromes. J Alzheimers Dis 2022; 89:1221-1231. [DOI: 10.3233/jad-220272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Frontotemporal dementia (FTD) syndromes, mimics, phenocopy (phFTD), and slowly progressive behavioral variant FTD (bvFTD) can be difficult to distinguish clinically. Biomarkers such as neurofilament light chain (NfL) may be helpful. Objective: To study plasma NfL levels in people with FTD syndromes and determine if plasma NfL can distinguish between FTD syndromes and phFTD. Methods: Plasma NfL levels were estimated using both Simoa ® Quanterix HD-X™ and SR-X™ machines grouped via final diagnosis after investigation and review. Results: Fifty participants were studied: bvFTD = 20, semantic variant FTD (svFTD) = 11, non-fluent variant FTD (nfvFTD) = 9, FTD with motor neuron disease (MND) = 4, phFTD = 2, slow progressors = 3, FTD mimic = 1, mean age 67.2 (SD 8.4) years. NfL levels were significantly higher in the FTD group compared to phenocopy group (p = 0.003). Median NfL (IQR) pg/mL was comparable in the FTD syndromes: bvFTD 41.10 (50.72), svFTD 44.38 (16.61), and nfvFTD 42.61 (22.93), highest in FTD with MND 79.67 (45.32) and lowest in both phFTD 13.99 (0.79) and slow progressors 17.97 (3.62). Conclusion: Plasma NfL appears to differentiate FTD syndromes and mimics. However, a lower NfL may predict a slower, but not necessarily lack of, neurodegeneration and therefore appears limited distinguishing slow progressors from FTD phenocopies. Larger numbers of patients from all clinical groups are required to strengthen diagnostic utility.
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Affiliation(s)
- Suyi Ooi
- Eastern Cognitive Disorders Clinic, Eastern Health, Box Hill, VIC, Australia
- Eastern Clinical Research Unit, Eastern Health Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, VIC, Australia
- Royal Melbourne Hospital, Department of Neurology, Parkville, VIC, Australia
- Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
| | - Sheila K Patel
- Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
| | - Dhamidhu Eratne
- Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
- Neuropsychiatry and Melbourne Neuropsychiatry Centre, Royal Melbourne Hospital and University of Melbourne, Parkville, VIC, Australia
| | - Christopher Kyndt
- Eastern Cognitive Disorders Clinic, Eastern Health, Box Hill, VIC, Australia
- Eastern Clinical Research Unit, Eastern Health Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, VIC, Australia
- Royal Melbourne Hospital, Department of Neurology, Parkville, VIC, Australia
| | - Natalie Reidy
- Eastern Cognitive Disorders Clinic, Eastern Health, Box Hill, VIC, Australia
| | - Courtney Lewis
- Eastern Cognitive Disorders Clinic, Eastern Health, Box Hill, VIC, Australia
- Neuropsychiatry and Melbourne Neuropsychiatry Centre, Royal Melbourne Hospital and University of Melbourne, Parkville, VIC, Australia
| | - Sarah C.M. Lee
- Eastern Clinical Research Unit, Eastern Health Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, VIC, Australia
- Calvary Health Care Bethlehem, Parkdale, VIC, Australia
| | - David Darby
- Eastern Cognitive Disorders Clinic, Eastern Health, Box Hill, VIC, Australia
- Eastern Clinical Research Unit, Eastern Health Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, VIC, Australia
- Royal Melbourne Hospital, Department of Neurology, Parkville, VIC, Australia
- Alfred Health, Department of Neurology, Prahran, Australia
| | - Amy Brodtmann
- Eastern Cognitive Disorders Clinic, Eastern Health, Box Hill, VIC, Australia
- Eastern Clinical Research Unit, Eastern Health Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, VIC, Australia
- Royal Melbourne Hospital, Department of Neurology, Parkville, VIC, Australia
- Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
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18
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How can we define the presymptomatic C9orf72 disease in 2022? An overview on the current definitions of preclinical and prodromal phases. Rev Neurol (Paris) 2022; 178:426-436. [PMID: 35525633 DOI: 10.1016/j.neurol.2022.03.007] [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: 01/20/2022] [Accepted: 03/08/2022] [Indexed: 11/24/2022]
Abstract
Repeat expansions in C9orf72 gene are the main genetic cause of frontotemporal dementia, amyotrophic lateral sclerosis and related phenotypes. With the advent of disease-modifying treatments, the presymptomatic disease phase is getting increasing interest as an ideal time window in which innovant therapeutic approaches could be administered. Recommendations issued from international study groups distinguish between a preclinical disease stage, during which lesions accumulate in absence of any symptoms or signs, and a prodromal stage, marked by the appearance the first subtle cognitive, behavioral, psychiatric and motor signs, before the full-blown disease. This paper summarizes the current definitions and criteria for these stages, in particular focusing on how fluid-based, neuroimaging and cognitive biomarkers can be useful to monitor disease trajectory across the presymptomatic phase, as well as to detect the earliest signs of clinical conversion. Continuous advances in the knowledge of C9orf72 pathophysiology, and the integration of biomarkers in the clinical evaluation of mutation carriers will allow a better diagnostic definition of C9orf72 disease spectrum from the earliest stages, with relevant impact on the possibility of disease prevention.
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Gendron TF, Heckman MG, White LJ, Veire AM, Pedraza O, Burch AR, Bozoki AC, Dickerson BC, Domoto-Reilly K, Foroud T, Forsberg LK, Galasko DR, Ghoshal N, Graff-Radford NR, Grossman M, Heuer HW, Huey ED, Hsiung GYR, Irwin DJ, Kaufer DI, Leger GC, Litvan I, Masdeu JC, Mendez MF, Onyike CU, Pascual B, Ritter A, Roberson ED, Rojas JC, Tartaglia MC, Wszolek ZK, Rosen H, Boeve BF, Boxer AL, Petrucelli L. Comprehensive cross-sectional and longitudinal analyses of plasma neurofilament light across FTD spectrum disorders. Cell Rep Med 2022; 3:100607. [PMID: 35492244 PMCID: PMC9044101 DOI: 10.1016/j.xcrm.2022.100607] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Revised: 12/13/2021] [Accepted: 03/23/2022] [Indexed: 12/30/2022]
Abstract
Frontotemporal dementia (FTD) therapy development is hamstrung by a lack of susceptibility, diagnostic, and prognostic biomarkers. Blood neurofilament light (NfL) shows promise as a biomarker, but studies have largely focused only on core FTD syndromes, often grouping patients with different diagnoses. To expedite the clinical translation of NfL, we avail ARTFL LEFFTDS Longitudinal Frontotemporal Lobar Degeneration (ALLFTD) study resources and conduct a comprehensive investigation of plasma NfL across FTD syndromes and in presymptomatic FTD mutation carriers. We find plasma NfL is elevated in all studied syndromes, including mild cases; increases in presymptomatic mutation carriers prior to phenoconversion; and associates with indicators of disease severity. By facilitating the identification of individuals at risk of phenoconversion, and the early diagnosis of FTD, plasma NfL can aid in participant selection for prevention or early treatment trials. Moreover, its prognostic utility would improve patient care, clinical trial efficiency, and treatment outcome estimations.
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Affiliation(s)
- Tania F Gendron
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA; Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Jacksonville, FL 32224, USA.
| | - Michael G Heckman
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Launia J White
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Austin M Veire
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Otto Pedraza
- Department of Psychiatry & Psychology, Mayo Clinic, Jacksonville, FL 32224, USA
| | | | - Andrea C Bozoki
- Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Bradford C Dickerson
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | | | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Leah K Forsberg
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Douglas R Galasko
- Parkinson and Other Movement Disorder Center, Department of Neuroscience, University of California, San Diego, La Jolla, CA 92037, USA
| | - Nupur Ghoshal
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | | | - Murray Grossman
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hilary W Heuer
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Edward D Huey
- Department of Psychiatry, Taub Institute, Columbia University, New York, NY 10032, USA; Department of Neurology, Taub Institute, Columbia University, New York, NY 10032, USA
| | - Ging-Yuek R Hsiung
- Centre for Brain Health, Department of Medicine, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
| | - David J Irwin
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Daniel I Kaufer
- Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Gabriel C Leger
- Parkinson and Other Movement Disorder Center, Department of Neuroscience, University of California, San Diego, La Jolla, CA 92037, USA
| | - Irene Litvan
- Parkinson and Other Movement Disorder Center, Department of Neuroscience, University of California, San Diego, La Jolla, CA 92037, USA
| | - Joseph C Masdeu
- Nantz National Alzheimer Center, Stanley H. Appel Department of Neurology, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, TX 77030, USA
| | - Mario F Mendez
- Department of Neurology, University of California at Los Angeles, Los Angeles, CA 90095, USA; Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - Chiadi U Onyike
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Belen Pascual
- Nantz National Alzheimer Center, Stanley H. Appel Department of Neurology, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, TX 77030, USA
| | - Aaron Ritter
- Neurological Institute, Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV 89106, USA
| | - Erik D Roberson
- Center for Neurodegeneration and Experimental Therapeutics, Alzheimer's Disease Center, Department of Neurology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Julio C Rojas
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Maria Carmela Tartaglia
- Krembil Brain Institute, Tanz Centre for Research in Neurodegenerative Diseases, Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
| | | | - Howard Rosen
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Bradley F Boeve
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Adam L Boxer
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Leonard Petrucelli
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA; Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Jacksonville, FL 32224, USA.
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Zanardini R, Saraceno C, Benussi L, Squitti R, Ghidoni R. Exploring Neurofilament Light Chain and Exosomes in the Genetic Forms of Frontotemporal Dementia. Front Neurosci 2022; 16:758182. [PMID: 35145377 PMCID: PMC8821515 DOI: 10.3389/fnins.2022.758182] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 01/03/2022] [Indexed: 11/13/2022] Open
Abstract
Differential diagnosis of neurological disorders and their subtype classification are challenging without specific biomarkers. Genetic forms of these disorders, typified by an autosomal dominant family history, could offer a window to identify potential biomarkers by exploring the presymptomatic stages of the disease. Frontotemporal dementia (FTD) is the second cause of dementia with an age of onset < 65, and its most common mutations are in GRN, C9orf72, and MAPT genes. Several studies have demonstrated that the main proteins involved in FTD pathogenesis can be secreted in exosomes, a specific subtype of extracellular vesicles able to transfer biomolecules between cells avoiding cell-to-cell contact. Neurofilament light chain (NfL) levels in central nervous system have been advocated as biomarkers of axonal injury. NfL concentrations have been found increased in FTD and have been related to disease severity and prognosis. Little information on the relationship between NfL and exosomes in FTD has been collected, deriving mainly from traumatic brain injury. Current review deals with this matter in the attempt to provide an updated discussion of the role of NfL and exosomes as biomarkers of genetic forms of FTD.
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