1
|
Ravasia K, Hirsch-Reinshagen V. Selective cellular and regional vulnerability in frontotemporal lobar degeneration: a scoping review. FREE NEUROPATHOLOGY 2025; 6:11. [PMID: 40207209 PMCID: PMC11980436 DOI: 10.17879/freeneuropathology-2025-5812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Accepted: 03/13/2025] [Indexed: 04/11/2025]
Abstract
The three main types of frontotemporal lobar degeneration (FTLD) are characterized by the accumulation of abnormal proteins, namely tau, TDP-43 and FUS. The distribution of these proteins within different human brain regions is well known, as is the range of morphological variability of the cellular inclusions they form. Compared to the extensive knowledge that exists about distinct protein aggregates in FTLD, surprisingly little is known about the specific cell (sub)types that these inclusions affect. Even less is known about disease-specific abnormalities other than protein inclusions in affected and unaffected areas. These are non-trivial knowledge gaps. First, knowing which cell subtypes are vulnerable or resilient to the development of pathological protein inclusions is crucial to understand the cellular disease mechanisms. Second, mounting evidence suggests that non-cell autonomous mechanisms may play important roles in neurodegenerative conditions. For example, astrocytic tau pathology is associated with synaptic loss in corticobasal degeneration but not in progressive supranuclear palsy. Furthermore, changes that are more difficult and time-consuming to quantify, for example loss of a specific neuronal subtype that does not develop pathological inclusions, remain virtually unexplored and their relevance for disease progression are unknown. This scoping review is an attempt to collate all histological evidence from human studies that address the question of cell-specific vulnerability in the most common FTLD subtypes. By taking a systematic approach including various brain cell types such as neurons and their subtypes as well as astrocytes, microglia and oligodendrocytes and the entire central nervous system with its affected and unaffected regions, this review summarizes the current status in the field and highlights important knowledge gaps.
Collapse
Affiliation(s)
- Kashif Ravasia
- School of Medicine, University of British Columbia,
Vancouver, Canada
| | - Veronica Hirsch-Reinshagen
- Division of Neuropathology, Vancouver General Hospital
and University of British Columbia, Vancouver, Canada
| |
Collapse
|
2
|
Pickles SR, Gonzalez Bejarano J, Narayan A, Daughrity L, Maroto Cidfuentes C, Reeves MM, Yue M, Castellanos Otero P, Estades Ayuso V, Dunmore J, Song Y, Tong J, DeTure M, Rawlinson B, Castanedes‐Casey M, Dulski J, Cerquera‐Cleves C, Zhang Y, Josephs KA, Dickson DW, Petrucelli L, Wszolek ZK, Prudencio M. TDP-43 Cryptic RNAs in Perry Syndrome: Differences across Brain Regions and TDP-43 Proteinopathies. Mov Disord 2025; 40:662-671. [PMID: 39788898 PMCID: PMC12006891 DOI: 10.1002/mds.30104] [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: 10/10/2024] [Revised: 12/06/2024] [Accepted: 12/17/2024] [Indexed: 01/12/2025] Open
Abstract
BACKGROUND Perry syndrome (PS) is a rare and fatal hereditary autosomal dominant neurodegenerative disorder caused by mutations in dynactin (DCTN1). PS brains accumulate inclusions positive for ubiquitin, transactive-response DNA-binding protein of 43 kDa (TDP-43), and to a lesser extent dynactin. OBJECTIVES Little is known regarding the contributions of TDP-43, an RNA binding protein that represses cryptic exon inclusion, in PS. Therefore, we sought to identify the degree of TDP-43 dysfunction in two regions of PS brains. METHODS We evaluated the levels of insoluble pTDP-43 and TDP-43-regulated cryptic RNAs and protein in the caudate nucleus and substantia nigra of 7 PS cases, 12 cases of frontotemporal lobar degeneration (FTLD) with TDP-43 pathology, and 11 cognitively healthy controls without TDP-43 pathology. RESULTS Insoluble pTDP-43 protein levels were detected in PS brains to a similar extent in the caudate nucleus and substantia nigra but lower than those in FTLD brains. The caudate nucleus of PS showed accumulation of eight TDP-43-regulated cryptic RNAs (ACTL6B, CAMK2B, STMN2, UNC13A, KCNQ2, ATG4B, GPSM2, and HDGFL2) and cryptic protein (HDGFL2) characteristic of FTLD. Conversely, only one cryptic target, UNC13A, reached significance in the substantia nigra despite similar pTDP-43 levels. CONCLUSION We detected TDP-43 cryptic RNAs and protein in PS caudate nucleus. Given the importance of cryptic exon biology in the development of biomarkers, and the identification of novel targets for therapeutic intervention, it is imperative we understand the consequences of TDP-43 dysfunction across different brain regions and determine the targets that are specific and common to TDP-43 proteinopathies. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Sarah R. Pickles
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
- Neurobiology of Disease Graduate Program, Mayo Graduate SchoolMayo Clinic College of MedicineJacksonvilleFloridaUSA
| | | | - Anand Narayan
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
| | | | | | | | - Mei Yue
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
| | | | - Virginia Estades Ayuso
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
- Neurobiology of Disease Graduate Program, Mayo Graduate SchoolMayo Clinic College of MedicineJacksonvilleFloridaUSA
| | - Judy Dunmore
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
| | - Yuping Song
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
| | - Jimei Tong
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
| | - Michael DeTure
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
| | | | | | - Jaroslaw Dulski
- Department of NeurologyMayo ClinicJacksonvilleFloridaUSA
- Division of Neurological and Psychiatric Nursing, Faculty of Health SciencesMedical University of GdanskGdanskPoland
- Neurology DepartmentSt Adalbert Hospital, Copernicus PL Ltd.GdanskPoland
| | - Catalina Cerquera‐Cleves
- Department of Neurosciences, Neurology UnitHospital Universitario San IgnacioBogotaColombia
- CHU de Québec Research Center, Axe NeurosciencesUniversité LavalQuebec CityQuebecCanada
| | - Yongjie Zhang
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
- Neurobiology of Disease Graduate Program, Mayo Graduate SchoolMayo Clinic College of MedicineJacksonvilleFloridaUSA
| | | | - Dennis W. Dickson
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
- Neurobiology of Disease Graduate Program, Mayo Graduate SchoolMayo Clinic College of MedicineJacksonvilleFloridaUSA
| | - Leonard Petrucelli
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
- Neurobiology of Disease Graduate Program, Mayo Graduate SchoolMayo Clinic College of MedicineJacksonvilleFloridaUSA
| | | | - Mercedes Prudencio
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
- Neurobiology of Disease Graduate Program, Mayo Graduate SchoolMayo Clinic College of MedicineJacksonvilleFloridaUSA
| |
Collapse
|
3
|
Fu Y, Zhang J, Qin R, Ren Y, Zhou T, Han B, Liu B. Activating autophagy to eliminate toxic protein aggregates with small molecules in neurodegenerative diseases. Pharmacol Rev 2025; 77:100053. [PMID: 40187044 DOI: 10.1016/j.pharmr.2025.100053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Accepted: 12/05/2024] [Indexed: 04/07/2025] Open
Abstract
Neurodegenerative diseases (NDs), such as Alzheimer disease, Parkinson disease, Huntington disease, amyotrophic lateral sclerosis, and frontotemporal dementia, are well known to pose formidable challenges for their treatment due to their intricate pathogenesis and substantial variability among patients, including differences in environmental exposures and genetic predispositions. One of the defining characteristics of NDs is widely reported to be the buildup of misfolded proteins. For example, Alzheimer disease is marked by amyloid beta and hyperphosphorylated Tau aggregates, whereas Parkinson disease exhibits α-synuclein aggregates. Amyotrophic lateral sclerosis and frontotemporal dementia exhibit TAR DNA-binding protein 43, superoxide dismutase 1, and fused-in sarcoma protein aggregates, and Huntington disease involves mutant huntingtin and polyglutamine aggregates. These misfolded proteins are the key biomarkers of NDs and also serve as potential therapeutic targets, as they can be addressed through autophagy, a process that removes excess cellular inclusions to maintain homeostasis. Various forms of autophagy, including macroautophagy, chaperone-mediated autophagy, and microautophagy, hold a promise in eliminating toxic proteins implicated in NDs. In this review, we focus on elucidating the regulatory connections between autophagy and toxic proteins in NDs, summarizing the cause of the aggregates, exploring their impact on autophagy mechanisms, and discussing how autophagy can regulate toxic protein aggregation. Moreover, we underscore the activation of autophagy as a potential therapeutic strategy across different NDs and small molecules capable of activating autophagy pathways, such as rapamycin targeting the mTOR pathway to clear α-synuclein and Sertraline targeting the AMPK/mTOR/RPS6KB1 pathway to clear Tau, to further illustrate their potential in NDs' therapeutic intervention. Together, these findings would provide new insights into current research trends and propose small-molecule drugs targeting autophagy as promising potential strategies for the future ND therapies. SIGNIFICANCE STATEMENT: This review provides an in-depth overview of the potential of activating autophagy to eliminate toxic protein aggregates in the treatment of neurodegenerative diseases. It also elucidates the fascinating interrelationships between toxic proteins and the process of autophagy of "chasing and escaping" phenomenon. Moreover, the review further discusses the progress utilizing small molecules to activate autophagy to improve the efficacy of therapies for neurodegenerative diseases by removing toxic protein aggregates.
Collapse
Affiliation(s)
- Yuqi Fu
- Institute of Precision Drug Innovation and Cancer Center, the Second Hospital of Dalian Medical University, Dalian, China; Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Jin Zhang
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China; School of Pharmaceutical Sciences of Medical School, Shenzhen University, Shenzhen, China
| | - Rui Qin
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yueting Ren
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China; Department of Brain Science, Faculty of Medicine, Imperial College, London, UK
| | - Tingting Zhou
- Department of Pharmaceutical Analysis, School of Pharmacy, Second Military Medical University, Shanghai, China; Shanghai Key Laboratory for Pharmaceutical Metabolite Research, School of Pharmacy, Second Military Medical University, Shanghai, China.
| | - Bo Han
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
| | - Bo Liu
- Institute of Precision Drug Innovation and Cancer Center, the Second Hospital of Dalian Medical University, Dalian, China; Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
| |
Collapse
|
4
|
Mamede LD, Hu M, Titus AR, Vaquer-Alicea J, French RL, Diamond MI, Miller TM, Ayala YM. TDP-43 Aggregate Seeding Impairs Autoregulation and Causes TDP-43 Dysfunction. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.02.11.637743. [PMID: 39990366 PMCID: PMC11844547 DOI: 10.1101/2025.02.11.637743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 02/25/2025]
Abstract
The aggregation, cellular mislocalization and dysfunction of TDP-43 are hallmarks of multiple neurodegenerative disorders. We find that inducing TDP-43 aggregation through prion-like seeding gradually diminishes normal TDP-43 nuclear localization and function. Aggregate-affected cells show signature features of TDP-43 loss of function, such as DNA damage and dysregulated TDP-43-target expression. We also observe strong activation of TDP-43-controlled cryptic exons in cells, including human neurons treated with proteopathic seeds. Furthermore, aggregate seeding impairs TDP-43 autoregulation, an essential mechanism controlling TDP-43 homeostasis. Interestingly, proteins that normally interact with TDP-43 are not recruited to aggregates, while other factors linked to TDP-43 pathology, including Ataxin 2, specifically colocalize to inclusions and modify seeding-induced aggregation. Our findings indicate that TDP-43 aggregation, mislocalization and loss of function are strongly linked and suggest that disruption of TDP-43 autoregulation establishes a toxic feed-forward mechanism that amplifies aggregation and may be central in mediating this pathological connection.
Collapse
Affiliation(s)
- Lohany Dias Mamede
- Edward Doisy Department of Biochemistry and Molecular Biology, Saint Louis University School of Medicine, St. Louis MO 63104, USA
| | - Miwei Hu
- Department of Neurology, Washington University in St. Louis, St. Louis MO 63110, USA
| | - Amanda R Titus
- Edward Doisy Department of Biochemistry and Molecular Biology, Saint Louis University School of Medicine, St. Louis MO 63104, USA
| | - Jaime Vaquer-Alicea
- Center for Alzheimer's and Neurodegenerative Diseases, Peter O'Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | | | - Marc I Diamond
- Center for Alzheimer's and Neurodegenerative Diseases, Peter O'Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Timothy M Miller
- Department of Neurology, Washington University in St. Louis, St. Louis MO 63110, USA
| | - Yuna M Ayala
- Edward Doisy Department of Biochemistry and Molecular Biology, Saint Louis University School of Medicine, St. Louis MO 63104, USA
| |
Collapse
|
5
|
Agnihotri D, Lee CC, Lu PC, He RY, Huang YA, Kuo HC, Huang JJT. C9ORF72 poly-PR induces TDP-43 nuclear condensation via NEAT1 and is modulated by HSP70 activity. Cell Rep 2025; 44:115173. [PMID: 39804774 DOI: 10.1016/j.celrep.2024.115173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 09/30/2024] [Accepted: 12/17/2024] [Indexed: 01/16/2025] Open
Abstract
The toxicity of C9ORF72-encoded polyproline-arginine (poly-PR) dipeptide is associated with its ability to disrupt the liquid-liquid phase separation of intrinsically disordered proteins participating in the formation of membraneless organelles, such as the nucleolus and paraspeckles. Amyotrophic lateral sclerosis (ALS)-related TAR DNA-binding protein 43 (TDP-43) also undergoes phase separation to form nuclear condensates (NCs) in response to stress. However, whether poly-PR alters the nuclear condensation of TDP-43 in ALS remains unclear. In this study, we find that the poly-PR dipeptide enhances the formation of TDP-43 NCs with decreased fluidity. While the non-coding RNA, nuclear-enriched abundant transcript 1 (NEAT1), is essential for the formation of TDP-43 NCs, heat shock protein 70 (HSP70) chaperone maintains their fluidity. Under prolonged poly-PR stress, HSP70 delocalizes from TDP-43 NCs, leading to the oligomerization of TDP-43 within these condensates. This phenomenon is accompanied with TDP-43 mislocalization and increasing cytotoxicity. Our study demonstrates the role of NEAT1 and HSP70 in the aberrant phase transition of TDP-43 NCs under poly-PR stress.
Collapse
Affiliation(s)
- Diksha Agnihotri
- Institute of Chemistry, Academia Sinica, Taipei 115, Taiwan; Taiwan International Graduate Program in Interdisciplinary Neuroscience, National Taiwan University and Academia Sinica, Taipei, Taiwan; National Taiwan University, Taipei 100, Taiwan
| | - Chi-Chang Lee
- Institute of Chemistry, Academia Sinica, Taipei 115, Taiwan
| | - Po-Chao Lu
- Institute of Chemistry, Academia Sinica, Taipei 115, Taiwan; Chemical Biology and Molecular Biophysics, Taiwan International Graduate Program, Academia Sinica, Taipei 115, Taiwan; Department and Graduate Institute of Pharmacology, National Taiwan University, Taipei 100, Taiwan
| | - Ruei-Yu He
- Institute of Chemistry, Academia Sinica, Taipei 115, Taiwan
| | - Yung-An Huang
- Institute of Chemistry, Academia Sinica, Taipei 115, Taiwan
| | - Hung-Chih Kuo
- Neuroscience Program of Academia Sinica, Academia Sinica, Taipei 115, Taiwan; Institute of Cellular and Organismic Biology, Academia Sinica, No. 128, Sec. 2, Academia Road, Nankang, Taipei 11529, Taiwan; Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Joseph Jen-Tse Huang
- Institute of Chemistry, Academia Sinica, Taipei 115, Taiwan; Sustainable Chemical Science and Technology, Taiwan International Graduate Program, Academia Sinica, Taipei 115, Taiwan; Department of Applied Chemistry, National Chiayi University, Chiayi City 600, Taiwan; Neuroscience Program of Academia Sinica, Academia Sinica, Taipei 115, Taiwan.
| |
Collapse
|
6
|
Gomes KB. Risk and progression of frontotemporal dementia in carriers of the TMEM106B protective genotype and its relationship with TDP-43 pathology. ANNALS OF TRANSLATIONAL MEDICINE 2024; 12:119. [PMID: 39817242 PMCID: PMC11729803 DOI: 10.21037/atm-24-104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2024] [Accepted: 09/25/2024] [Indexed: 01/18/2025]
Affiliation(s)
- Karina Braga Gomes
- Department of Clinical and Toxicological Analysis, Pharmacy Faculty, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| |
Collapse
|
7
|
Garcia-Guaqueta DP, Ghayal NB, Lowe VJ, Dickson DW, Whitwell JL, Josephs KA. Patterns of glucose hypometabolism can help differentiate FTLD-FET from other types of FTLD. J Neurol 2024; 271:6264-6273. [PMID: 39088063 PMCID: PMC11927764 DOI: 10.1007/s00415-024-12583-y] [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: 06/02/2024] [Revised: 07/10/2024] [Accepted: 07/12/2024] [Indexed: 08/02/2024]
Abstract
INTRODUCTION FTLD-FET is a newly described subtype of frontotemporal lobar degeneration (FTLD characterized by pathologic inclusions of FET proteins: fused in sarcoma (FUS), Ewing sarcoma, and TATA-binding protein-associated factor 2N (TAF15)). Severe caudate volume loss on MRI has been linked to FTLD-FUS, yet glucose hypometabolism in FTLD-FET has not been studied. We assessed [18F] fluorodeoxyglucose PET (FDG-PET) hypometabolism in FTLD-FET subtypes and compared metabolism to FTLD-tau and FTLD-TDP. METHODS We retrospectively reviewed medical records of 26 autopsied FTLD patients (six FTLD-FET, ten FTLD-Tau, and ten FTLD-TDP) who had completed antemortem FDG-PET. We evaluated five regions, caudate nucleus, medial frontal cortex, lateral frontal cortex, and medial temporal using a 0-3 visual rating scale and validated our findings quantitatively using CORTEX-ID suite Z scores. RESULTS Of the six FTLD-FET cases (three females) with median age at onset = 36, three were atypical FTLD-U (aFTLD-U) and three were neuronal intermediate filament inclusion disease (NIFID). bvFTD was the most common presentation. Four of the six FTLD cases (3 aFTLD-U + 1 NIFID) showed prominent caudate hypometabolism relatively early in the disease course. FTLD-tau and FTLD-TDP did not show early prominent caudate hypometabolism. Hypometabolism in medial and lateral temporal cortex was associated with FTLD-TDP, while FTLD-tau had normal-minimal regional metabolism. DISCUSSION Prominent caudate hypometabolism, especially early in the disease course, appears to be a hallmark feature of the aFTLD-U subtype of FTLD-FET. Assessing caudate and temporal hypometabolism on FDG-PET will help to differentiate FTLD-FET from FTLD-tau and FTLD-TDP.
Collapse
Affiliation(s)
| | - Nikhil B Ghayal
- Department of Radiology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Val J Lowe
- Department of Neuroscience (Neuropathology), Mayo Clinic, Florida, 32224, USA
| | | | - Jennifer L Whitwell
- Department of Neuroscience (Neuropathology), Mayo Clinic, Florida, 32224, USA
| | - Keith A Josephs
- Department of Neurology, Mayo Clinic, Rochester, MN, 55905, USA.
- Department of Neurology, Behavioral Neurology and Movement Disorders, College of Medicine, and Science, Mayo Clinic, Rochester, MN, 55905, USA.
| |
Collapse
|
8
|
Marks JD, Ayuso VE, Carlomagno Y, Yue M, Todd TW, Hao Y, Li Z, McEachin ZT, Shantaraman A, Duong DM, Daughrity LM, Jansen-West K, Shao W, Calliari A, Bejarano JG, DeTure M, Rawlinson B, Casey MC, Lilley MT, Donahue MH, Jawahar VM, Boeve BF, Petersen RC, Knopman DS, Oskarsson B, Graff-Radford NR, Wszolek ZK, Dickson DW, Josephs KA, Qi YA, Seyfried NT, Ward ME, Zhang YJ, Prudencio M, Petrucelli L, Cook CN. TMEM106B core deposition associates with TDP-43 pathology and is increased in risk SNP carriers for frontotemporal dementia. Sci Transl Med 2024; 16:eadf9735. [PMID: 38232138 PMCID: PMC10841341 DOI: 10.1126/scitranslmed.adf9735] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 12/18/2023] [Indexed: 01/19/2024]
Abstract
Genetic variation at the transmembrane protein 106B gene (TMEM106B) has been linked to risk of frontotemporal lobar degeneration with TDP-43 inclusions (FTLD-TDP) through an unknown mechanism. We found that presence of the TMEM106B rs3173615 protective genotype was associated with longer survival after symptom onset in a postmortem FTLD-TDP cohort, suggesting a slower disease course. The seminal discovery that filaments derived from TMEM106B is a common feature in aging and, across a range of neurodegenerative disorders, suggests that genetic variants in TMEM106B could modulate disease risk and progression through modulating TMEM106B aggregation. To explore this possibility and assess the pathological relevance of TMEM106B accumulation, we generated a new antibody targeting the TMEM106B filament core sequence. Analysis of postmortem samples revealed that the TMEM106B rs3173615 risk allele was associated with higher TMEM106B core accumulation in patients with FTLD-TDP. In contrast, minimal TMEM106B core deposition was detected in carriers of the protective allele. Although the abundance of monomeric full-length TMEM106B was unchanged, carriers of the protective genotype exhibited an increase in dimeric full-length TMEM106B. Increased TMEM106B core deposition was also associated with enhanced TDP-43 dysfunction, and interactome data suggested a role for TMEM106B core filaments in impaired RNA transport, local translation, and endolysosomal function in FTLD-TDP. Overall, these findings suggest that prevention of TMEM106B core accumulation is central to the mechanism by which the TMEM106B protective haplotype reduces disease risk and slows progression.
Collapse
Affiliation(s)
- Jordan D. Marks
- Medical Scientist Training Program, Mayo Clinic Alix School of Medicine, Rochester, MN 55905, USA
- Neuroscience Graduate Program, Mayo Graduate School, Mayo Clinic College of Medicine, Jacksonville, FL 32224, USA
| | - Virginia Estades Ayuso
- Neuroscience Graduate Program, Mayo Graduate School, Mayo Clinic College of Medicine, Jacksonville, FL 32224, USA
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Yari Carlomagno
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Mei Yue
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Tiffany W. Todd
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Ying Hao
- Center for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
| | - Ziyi Li
- Center for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
| | - Zachary T. McEachin
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA 30307, USA
- Department for Human Genetics, Emory University School of Medicine, Atlanta, GA 30307, USA
| | - Anantharaman Shantaraman
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA 30307, USA
| | - Duc M. Duong
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA 30307, USA
| | | | - Karen Jansen-West
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Wei Shao
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Anna Calliari
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | | | - Michael DeTure
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Bailey Rawlinson
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | | | - Meredith T. Lilley
- Neuroscience Graduate Program, Mayo Graduate School, Mayo Clinic College of Medicine, Jacksonville, FL 32224, USA
| | - Megan H. Donahue
- Department of Neurology, Mayo Clinic, Jacksonville, FL 32224, USA
| | | | | | | | | | - Björn Oskarsson
- Department of Neurology, Mayo Clinic, Jacksonville, FL 32224, USA
| | | | | | - Dennis W. Dickson
- Neuroscience Graduate Program, Mayo Graduate School, Mayo Clinic College of Medicine, Jacksonville, FL 32224, USA
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | | | - Yue A. Qi
- Center for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
| | - Nicholas T. Seyfried
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA 30307, USA
| | - Michael E. Ward
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
| | - Yong-Jie Zhang
- Neuroscience Graduate Program, Mayo Graduate School, Mayo Clinic College of Medicine, Jacksonville, FL 32224, USA
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Mercedes Prudencio
- Neuroscience Graduate Program, Mayo Graduate School, Mayo Clinic College of Medicine, Jacksonville, FL 32224, USA
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Leonard Petrucelli
- Neuroscience Graduate Program, Mayo Graduate School, Mayo Clinic College of Medicine, Jacksonville, FL 32224, USA
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Casey N. Cook
- Neuroscience Graduate Program, Mayo Graduate School, Mayo Clinic College of Medicine, Jacksonville, FL 32224, USA
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| |
Collapse
|
9
|
Carlos AF, Sekiya H, Koga S, Gatto RG, Casey MC, Pham NTT, Sintini I, Machulda MM, Jack CR, Lowe VJ, Whitwell JL, Petrucelli L, Reichard RR, Petersen RC, Dickson DW, Josephs KA. Clinicopathologic features of a novel star-shaped transactive response DNA-binding protein 43 (TDP-43) pathology in the oldest old. J Neuropathol Exp Neurol 2023; 83:36-52. [PMID: 38086178 PMCID: PMC10746697 DOI: 10.1093/jnen/nlad105] [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] [Indexed: 12/24/2023] Open
Abstract
Transactive response DNA-binding protein 43 (TDP-43) pathology is categorized as type A-E in frontotemporal lobar degeneration and as type α-β in Alzheimer disease (AD) based on inclusion type. We screened amygdala slides of 131 cases with varying ages at death, clinical/neuroimaging findings, and AD neuropathologic changes for TDP-43 pathology using anti-phospho-TDP-43 antibodies. Seven cases (5%) only showed atypical TDP-43 inclusions that could not be typed. Immunohistochemistry and immunofluorescence assessed the atypical star-shaped TDP-43 pathology including its distribution, species, cellular localization, and colocalization with tau. All 7 had died at an extremely old age (median: 100 years [IQR: 94-101]) from nonneurological causes and none had dementia (4 cognitively unimpaired, 3 with amnestic mild cognitive impairment). Neuroimaging showed mild medial temporal involvement. Pathologically, the star-shaped TDP-43-positive inclusions were found in medial (subpial) amygdala and, occasionally, in basolateral regions. Hippocampus only showed TDP-43-positive neurites in the fimbria and subiculum while the frontal lobe was free of TDP-43 inclusions. The star-shaped inclusions were better detected with antibodies against N-terminal than C-terminal TDP-43. Double-labeling studies confirmed deposition of TDP-43 within astrocytes and colocalization with tau. We have identified a novel TDP-43 pathology with star-shaped morphology associated with superaging, with a homogeneous clinicopathologic picture, possibly representing a novel, true aging-related TDP-43 pathology.
Collapse
Affiliation(s)
- Arenn F Carlos
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Hiroaki Sekiya
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | - Shunsuke Koga
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | - Rodolfo G Gatto
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | | | | | - Irene Sintini
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Mary M Machulda
- Department of Psychiatry (Psychology), Mayo Clinic, Rochester, Minnesota, USA
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | | | | | - R Ross Reichard
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Dennis W Dickson
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | - Keith A Josephs
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| |
Collapse
|
10
|
Ortiz GG, Ramírez-Jirano J, Arizaga RL, Delgado-Lara DLC, Torres-Sánchez ED. Frontotemporal-TDP and LATE Neurocognitive Disorders: A Pathophysiological and Genetic Approach. Brain Sci 2023; 13:1474. [PMID: 37891841 PMCID: PMC10605418 DOI: 10.3390/brainsci13101474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 10/07/2023] [Accepted: 10/16/2023] [Indexed: 10/29/2023] Open
Abstract
Frontotemporal lobar degeneration (FTLD) belongs to a heterogeneous group of highly complex neurodegenerative diseases and represents the second cause of presenile dementia in individuals under 65. Frontotemporal-TDP is a subgroup of frontotemporal dementia characterized by the aggregation of abnormal protein deposits, predominantly transactive response DNA-binding protein 43 (TDP-43), in the frontal and temporal brain regions. These deposits lead to progressive degeneration of neurons resulting in cognitive and behavioral impairments. Limbic age-related encephalopathy (LATE) pertains to age-related cognitive decline primarily affecting the limbic system, which is crucial for memory, emotions, and learning. However, distinct, emerging research suggests a potential overlap in pathogenic processes, with some cases of limbic encephalopathy displaying TDP-43 pathology. Genetic factors play a pivotal role in both disorders. Mutations in various genes, such as progranulin (GRN) and chromosome 9 open reading frame 72 (C9orf72), have been identified as causative in frontotemporal-TDP. Similarly, specific genetic variants have been associated with an increased risk of developing LATE. Understanding these genetic links provides crucial insights into disease mechanisms and the potential for targeted therapies.
Collapse
Affiliation(s)
- Genaro Gabriel Ortiz
- Department of Philosophical and Methodological Disciplines, University Health Sciences Center, University of Guadalajara, Guadalajara 44340, Jalisco, Mexico;
- Postgraduate Gerontology Program, University Health Sciences Center, University of Guadalajara, Guadalajara 44340, Jalisco, Mexico
| | - Javier Ramírez-Jirano
- Neurosciences Division, Western Biomedical Research Center, Mexican Social Security Institute, IMSS, Guadalajara 44340, Jalisco, Mexico;
| | - Raul L. Arizaga
- Public Health Department, School of Medicine, University of Buenos Aires, Buenos Aires C1121ABG, Argentina;
| | - Daniela L. C. Delgado-Lara
- Department of Philosophical and Methodological Disciplines, University Health Sciences Center, University of Guadalajara, Guadalajara 44340, Jalisco, Mexico;
- Departamento Académico de Formación Universitaria, Ciencias de la Salud, Universidad Autónoma de Guadalajara, Zapopan 45129, Jalisco, Mexico
| | - Erandis D. Torres-Sánchez
- Department of Medical and Life Sciences, University Center of la Cienega, University of Guadalajara, Ocotlan 47820, Jalisco, Mexico
| |
Collapse
|
11
|
Pérez‐Berlanga M, Wiersma VI, Zbinden A, De Vos L, Wagner U, Foglieni C, Mallona I, Betz KM, Cléry A, Weber J, Guo Z, Rigort R, de Rossi P, Manglunia R, Tantardini E, Sahadevan S, Stach O, Hruska‐Plochan M, Allain FH, Paganetti P, Polymenidou M. Loss of TDP-43 oligomerization or RNA binding elicits distinct aggregation patterns. EMBO J 2023; 42:e111719. [PMID: 37431963 PMCID: PMC10476175 DOI: 10.15252/embj.2022111719] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 06/02/2023] [Accepted: 06/12/2023] [Indexed: 07/12/2023] Open
Abstract
Aggregation of the RNA-binding protein TAR DNA-binding protein 43 (TDP-43) is the key neuropathological feature of neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD). In physiological conditions, TDP-43 is predominantly nuclear, forms oligomers, and is contained in biomolecular condensates assembled by liquid-liquid phase separation (LLPS). In disease, TDP-43 forms cytoplasmic or intranuclear inclusions. How TDP-43 transitions from physiological to pathological states remains poorly understood. Using a variety of cellular systems to express structure-based TDP-43 variants, including human neurons and cell lines with near-physiological expression levels, we show that oligomerization and RNA binding govern TDP-43 stability, splicing functionality, LLPS, and subcellular localization. Importantly, our data reveal that TDP-43 oligomerization is modulated by RNA binding. By mimicking the impaired proteasomal activity observed in ALS/FTLD patients, we found that monomeric TDP-43 forms inclusions in the cytoplasm, whereas its RNA binding-deficient counterpart aggregated in the nucleus. These differentially localized aggregates emerged via distinct pathways: LLPS-driven aggregation in the nucleus and aggresome-dependent inclusion formation in the cytoplasm. Therefore, our work unravels the origins of heterogeneous pathological species reminiscent of those occurring in TDP-43 proteinopathy patients.
Collapse
Affiliation(s)
| | - Vera I Wiersma
- Department of Quantitative BiomedicineUniversity of ZurichZurichSwitzerland
| | - Aurélie Zbinden
- Department of Quantitative BiomedicineUniversity of ZurichZurichSwitzerland
| | - Laura De Vos
- Department of Quantitative BiomedicineUniversity of ZurichZurichSwitzerland
| | - Ulrich Wagner
- Department of Pathology and Molecular Pathology, University Hospital ZurichUniversity of ZurichZurichSwitzerland
| | - Chiara Foglieni
- Neurodegeneration Research Group, Laboratory for Biomedical Neurosciences, Neurocenter of Southern Switzerland, Ente Ospedaliero CantonaleBellinzonaSwitzerland
| | - Izaskun Mallona
- Department of Quantitative BiomedicineUniversity of ZurichZurichSwitzerland
| | - Katharina M Betz
- Department of Quantitative BiomedicineUniversity of ZurichZurichSwitzerland
| | - Antoine Cléry
- Department of Biology, Institute of BiochemistryETH ZurichZurichSwitzerland
| | - Julien Weber
- Department of Quantitative BiomedicineUniversity of ZurichZurichSwitzerland
| | - Zhongning Guo
- Department of Quantitative BiomedicineUniversity of ZurichZurichSwitzerland
| | - Ruben Rigort
- Department of Quantitative BiomedicineUniversity of ZurichZurichSwitzerland
| | - Pierre de Rossi
- Department of Quantitative BiomedicineUniversity of ZurichZurichSwitzerland
| | - Ruchi Manglunia
- Department of Quantitative BiomedicineUniversity of ZurichZurichSwitzerland
| | - Elena Tantardini
- Department of Quantitative BiomedicineUniversity of ZurichZurichSwitzerland
| | - Sonu Sahadevan
- Department of Quantitative BiomedicineUniversity of ZurichZurichSwitzerland
| | - Oliver Stach
- Department of BiochemistryUniversity of ZurichZurichSwitzerland
| | | | | | - Paolo Paganetti
- Neurodegeneration Research Group, Laboratory for Biomedical Neurosciences, Neurocenter of Southern Switzerland, Ente Ospedaliero CantonaleBellinzonaSwitzerland
| | | |
Collapse
|
12
|
Young AL, Vogel JW, Robinson JL, McMillan CT, Ossenkoppele R, Wolk DA, Irwin DJ, Elman L, Grossman M, Lee VMY, Lee EB, Hansson O. Data-driven neuropathological staging and subtyping of TDP-43 proteinopathies. Brain 2023; 146:2975-2988. [PMID: 37150879 PMCID: PMC10317181 DOI: 10.1093/brain/awad145] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/27/2023] [Accepted: 04/16/2023] [Indexed: 05/09/2023] Open
Abstract
TAR DNA-binding protein-43 (TDP-43) accumulation is the primary pathology underlying several neurodegenerative diseases. Charting the progression and heterogeneity of TDP-43 accumulation is necessary to better characterize TDP-43 proteinopathies, but current TDP-43 staging systems are heuristic and assume each syndrome is homogeneous. Here, we use data-driven disease progression modelling to derive a fine-grained empirical staging system for the classification and differentiation of frontotemporal lobar degeneration due to TDP-43 (FTLD-TDP, n = 126), amyotrophic lateral sclerosis (ALS, n = 141) and limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) with and without Alzheimer's disease (n = 304). The data-driven staging of ALS and FTLD-TDP complement and extend previously described human-defined staging schema for ALS and behavioural variant frontotemporal dementia. In LATE-NC individuals, progression along data-driven stages was positively associated with age, but negatively associated with age in individuals with FTLD-TDP. Using only regional TDP-43 severity, our data driven model distinguished individuals diagnosed with ALS, FTLD-TDP or LATE-NC with a cross-validated accuracy of 85.9%, with misclassifications associated with mixed pathological diagnosis, age and genetic mutations. Adding age and SuStaIn stage to this model increased accuracy to 92.3%. Our model differentiates LATE-NC from FTLD-TDP, though some overlap was observed between late-stage LATE-NC and early-stage FTLD-TDP. We further tested for the presence of subtypes with distinct regional TDP-43 progression patterns within each diagnostic group, identifying two distinct cortical-predominant and brainstem-predominant subtypes within FTLD-TDP and a further two subcortical-predominant and corticolimbic-predominant subtypes within ALS. The FTLD-TDP subtypes exhibited differing proportions of TDP-43 type, while there was a trend for age differing between ALS subtypes. Interestingly, a negative relationship between age and SuStaIn stage was seen in the brainstem/subcortical-predominant subtype of each proteinopathy. No subtypes were observed for the LATE-NC group, despite aggregating individuals with and without Alzheimer's disease and a larger sample size for this group. Overall, we provide an empirical pathological TDP-43 staging system for ALS, FTLD-TDP and LATE-NC, which yielded accurate classification. We further demonstrate that there is substantial heterogeneity amongst ALS and FTLD-TDP progression patterns that warrants further investigation in larger cross-cohort studies.
Collapse
Affiliation(s)
- Alexandra L Young
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, SE5 8AF, UK
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, WC1V 6LJ, UK
| | - Jacob W Vogel
- Department of Clinical Sciences, SciLifeLab, Lund University, SE-222 42 Lund, Sweden
- Clinical Memory Research Unit, Lund University, SE-222 42 Lund, Sweden
| | - John L Robinson
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
| | - Corey T McMillan
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
| | - Rik Ossenkoppele
- Clinical Memory Research Unit, Lund University, SE-222 42 Lund, Sweden
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
| | - David A Wolk
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
| | - David J Irwin
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Lauren Elman
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
| | - Virginia M Y Lee
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
| | - Edward B Lee
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
| | - Oskar Hansson
- Clinical Memory Research Unit, Lund University, SE-222 42 Lund, Sweden
- Memory Clinic, Skåne University Hospital, SE-205 02 Malmö, Sweden
| |
Collapse
|
13
|
Fiondella L, Gami-Patel P, Blok CA, Rozemuller AJM, Hoozemans JJM, Pijnenburg YAL, Scarioni M, Dijkstra AA. Movement disorders are linked to TDP-43 burden in the substantia nigra of FTLD-TDP brain donors. Acta Neuropathol Commun 2023; 11:63. [PMID: 37046309 PMCID: PMC10091586 DOI: 10.1186/s40478-023-01560-7] [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: 12/09/2022] [Accepted: 03/30/2023] [Indexed: 04/14/2023] Open
Abstract
Movement disorders (MD) have been linked to degeneration of the substantia nigra (SN) in Parkinson's disease and include bradykinesia, rigidity, and tremor. They are also present in frontotemporal dementia (FTD), where MD have been linked to frontotemporal lobar degeneration with tau pathology (FTLD-tau). Although MD can also occur in FTLD with TDP-43 pathology (FTLD-TDP), the local pathology in the SN of FTLD-TDP patients with MD is currently unexplored. The aims of this study are to characterize the frequency and the nature of MD in a cohort of FTLD-TDP brain donors and to investigate the relationship between the presence of MD, the nigral neuronal loss, and the TDP-43 burden in the SN. From our cohort of FTLD-TDP patients (n = 53), we included 13 donors who presented with MD (FTLD-MD+), and nine age-sex matched donors without MD (FTLD-MD-) for whom the SN was available. In these donors, the TDP-43 burden and the neuronal density in the SN were assessed with ImageJ and Qupath software. The results were compared between the two groups using T-test. We found that the TDP-43 burden in the SN was higher in FTLD-MD+ (mean 3,43%, SD ± 2,7) compared to FTLD-MD- (mean 1,21%, SD ± 0,67) (p = 0,04), while no significant difference in nigral neuronal density was found between the groups (p = 0,09). 17% of FTLD-TDP patients developed MD, which present as symmetric akinetic-rigid parkinsonism or CBS. Given the absence of a significant nigral neuronal cell loss, TDP-43 induced neuronal dysfunction could be sufficient to cause MD.
Collapse
Affiliation(s)
- Luigi Fiondella
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, De Boelelaan 1118, Amsterdam, 1081 HZ, The Netherlands.
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands.
- Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
| | - Priya Gami-Patel
- Department of Pathology, Amsterdam University Medical Centers, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Christian A Blok
- Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | - Annemieke J M Rozemuller
- Department of Pathology, Amsterdam University Medical Centers, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Jeroen J M Hoozemans
- Department of Pathology, Amsterdam University Medical Centers, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, De Boelelaan 1118, Amsterdam, 1081 HZ, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Marta Scarioni
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, De Boelelaan 1118, Amsterdam, 1081 HZ, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Department of Neurology, Ghent University Hospital, Ghent, Belgium
| | - Anke A Dijkstra
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, De Boelelaan 1118, Amsterdam, 1081 HZ, The Netherlands
- Department of Pathology, Amsterdam University Medical Centers, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands
| |
Collapse
|
14
|
Young AL, Vogel JW, Robinson JL, McMillan CT, Ossenkoppele R, Wolk DA, Irwin DJ, Elman L, Grossman M, Lee VMY, Lee EB, Hansson O. Data-driven neuropathological staging and subtyping of TDP-43 proteinopathies. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.01.31.23285242. [PMID: 36778217 PMCID: PMC9915837 DOI: 10.1101/2023.01.31.23285242] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
TAR DNA-binding protein-43 (TDP-43) accumulation is the primary pathology underlying several neurodegenerative diseases. Charting the progression and heterogeneity of TDP-43 accumulation is necessary to better characterise TDP-43 proteinopathies, but current TDP-43 staging systems are heuristic and assume each syndrome is homogeneous. Here, we use data-driven disease progression modelling to derive a fine-grained empirical staging system for the classification and differentiation of frontotemporal lobar degeneration due to TDP-43 (FTLD-TDP, n=126), amyotrophic lateral sclerosis (ALS, n=141) and limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) with and without Alzheimer’s disease (n=304). The data-driven staging of ALS and FTLD-TDP complement and extend previously described human-defined staging schema for ALS and behavioural variant frontotemporal dementia. In LATE-NC individuals, progression along data-driven stages was positively associated with age, but negatively associated with age in individuals with FTLD-TDP. Using only regional TDP-43 severity, our data driven model distinguished individuals diagnosed with ALS, FTLD-TDP or LATE-NC with a cross-validated accuracy of 85.9%, with misclassifications associated with mixed pathological diagnosis, age and genetic mutations. Adding age and SuStaIn stage to this model increased accuracy to 92.3%. Our model differentiates LATE-NC from FTLD-TDP, though some overlap was observed between late-stage LATE-NC and early-stage FTLD-TDP. We further tested for the presence of subtypes with distinct regional TDP-43 progression patterns within each diagnostic group, identifying two distinct cortical-predominant and brainstem-predominant subtypes within FTLD-TDP and a further two subcortical-predominant and corticolimbic-predominant subtypes within ALS. The FTLD-TDP subtypes exhibited differing proportions of TDP-43 type, while there was a trend for age differing between ALS subtypes. Interestingly, a negative relationship between age and SuStaIn stage was seen in the brainstem/subcortical-predominant subtype of each proteinopathy. No subtypes were observed for the LATE-NC group, despite aggregating AD+ and AD-individuals and a larger sample size for this group. Overall, we provide an empirical pathological TDP-43 staging system for ALS, FTLD-TDP and LATE-NC, which yielded accurate classification. We further demonstrate that there is substantial heterogeneity amongst ALS and FTLD-TDP progression patterns that warrants further investigation in larger cross-cohort studies.
Collapse
Affiliation(s)
- Alexandra L Young
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - Jacob W Vogel
- Department of Clinical Sciences, SciLifeLab, Lund University, Lund, Sweden
- Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - John L Robinson
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Corey T McMillan
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Rik Ossenkoppele
- Clinical Memory Research Unit, Lund University, Lund, Sweden
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - David A Wolk
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - David J Irwin
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Lauren Elman
- Department of Neurology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Murray Grossman
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Virginia M-Y Lee
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Edward B Lee
- Penn Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Oskar Hansson
- Clinical Memory Research Unit, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| |
Collapse
|
15
|
Nelson PT, Lee EB, Cykowski MD, Alafuzoff I, Arfanakis K, Attems J, Brayne C, Corrada MM, Dugger BN, Flanagan ME, Ghetti B, Grinberg LT, Grossman M, Grothe MJ, Halliday GM, Hasegawa M, Hokkanen SRK, Hunter S, Jellinger K, Kawas CH, Keene CD, Kouri N, Kovacs GG, Leverenz JB, Latimer CS, Mackenzie IR, Mao Q, McAleese KE, Merrick R, Montine TJ, Murray ME, Myllykangas L, Nag S, Neltner JH, Newell KL, Rissman RA, Saito Y, Sajjadi SA, Schwetye KE, Teich AF, Thal DR, Tomé SO, Troncoso JC, Wang SHJ, White CL, Wisniewski T, Yang HS, Schneider JA, Dickson DW, Neumann M. LATE-NC staging in routine neuropathologic diagnosis: an update. Acta Neuropathol 2023; 145:159-173. [PMID: 36512061 PMCID: PMC9849315 DOI: 10.1007/s00401-022-02524-2] [Citation(s) in RCA: 81] [Impact Index Per Article: 40.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 11/21/2022] [Accepted: 11/22/2022] [Indexed: 12/15/2022]
Abstract
An international consensus report in 2019 recommended a classification system for limbic-predominant age-related TDP-43 encephalopathy neuropathologic changes (LATE-NC). The suggested neuropathologic staging system and nomenclature have proven useful for autopsy practice and dementia research. However, some issues remain unresolved, such as cases with unusual features that do not fit with current diagnostic categories. The goal of this report is to update the neuropathologic criteria for the diagnosis and staging of LATE-NC, based primarily on published data. We provide practical suggestions about how to integrate available genetic information and comorbid pathologies [e.g., Alzheimer's disease neuropathologic changes (ADNC) and Lewy body disease]. We also describe recent research findings that have enabled more precise guidance on how to differentiate LATE-NC from other subtypes of TDP-43 pathology [e.g., frontotemporal lobar degeneration (FTLD) and amyotrophic lateral sclerosis (ALS)], and how to render diagnoses in unusual situations in which TDP-43 pathology does not follow the staging scheme proposed in 2019. Specific recommendations are also made on when not to apply this diagnostic term based on current knowledge. Neuroanatomical regions of interest in LATE-NC are described in detail and the implications for TDP-43 immunohistochemical results are specified more precisely. We also highlight questions that remain unresolved and areas needing additional study. In summary, the current work lays out a number of recommendations to improve the precision of LATE-NC staging based on published reports and diagnostic experience.
Collapse
Affiliation(s)
- Peter T Nelson
- University of Kentucky, Rm 575 Todd Building, Lexington, KY, USA.
| | - Edward B Lee
- University of Pennsylvania, Philadelphia, PA, USA
| | | | | | - Konstantinos Arfanakis
- Rush University Medical Center, Chicago, IL, USA
- Illinois Institute of Technology, Chicago, IL, USA
| | | | | | | | | | | | | | | | | | - Michel J Grothe
- Unidad de Trastornos del Movimiento, Servicio de Neurología Y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
| | | | - Masato Hasegawa
- Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | | | | | | | | | | | | | - Gabor G Kovacs
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
- Laboratory Medicine Program, University Health Network, Toronto, Canada
- Institute of Neurology, Medical University of Vienna, Vienna, Austria
| | | | | | | | - Qinwen Mao
- University of Utah, Salt Lake City, UT, USA
| | | | | | | | | | - Liisa Myllykangas
- University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Sukriti Nag
- Rush University Medical Center, Chicago, IL, USA
| | - Janna H Neltner
- University of Kentucky, Rm 575 Todd Building, Lexington, KY, USA
| | | | | | - Yuko Saito
- Tokyo Metropolitan Geriatric Hospital & Institute of Gerontology, Tokyo, Japan
| | | | | | | | - Dietmar R Thal
- Laboratory for Neuropathology, Department of Imaging and Pathoogy, and Leuven Brain Institute, KU Leuven, Leuven, Belgium
- Department of Pathology, University Hospital Leuven, Leuven, Belgium
| | - Sandra O Tomé
- Laboratory for Neuropathology, Department of Imaging and Pathoogy, and Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | | | | | - Charles L White
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Hyun-Sik Yang
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, BostonBoston, MAMA, USA
| | | | | | | |
Collapse
|
16
|
Josephs KA, Koga S, Tosakulwong N, Weigand SD, Nha Pham TT, Baker M, Whitwell JL, Rademakers R, Petrucelli L, Dickson DW. Molecular fragment characteristics and distribution of tangle associated TDP-43 (TATs) and other TDP-43 lesions in Alzheimer's disease. FREE NEUROPATHOLOGY 2023; 4:22. [PMID: 38093787 PMCID: PMC10716685 DOI: 10.17879/freeneuropathology-2023-5192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 12/03/2023] [Indexed: 03/07/2024]
Abstract
TAR DNA binding protein 43 (TDP-43) pathology is a defining feature of frontotemporal lobar degeneration (FTLD). In FTLD-TDP there is a moderate-to-high burden of morphologically distinctive TDP-43 immunoreactive inclusions distributed throughout the brain. In Alzheimer's disease (AD), similar TDP-43 immunoreactive inclusions are observed. In AD, however, there is a unique phenomenon of neurofibrillary tangle-associated TDP-43 (TATs) whereby TDP-43 intermingles with neurofibrillary tangles. Little is known about the characteristics and distribution of TATs, or how burden and distribution of TATs compares to burden and distribution of other FTLD-TDP-like lesions observed in AD. Here we characterize molecular fragment characteristics, burden and distribution of TATs and assess how these features compare to features of other TDP-43 lesions. We performed TDP-43 immunohistochemistry with anti-phosphorylated, C- and N-terminal TDP-43 antibodies in 20 high-probability AD cases and semi-quantitative burden of seven inclusion types within five brain regions (entorhinal cortex, subiculum, CA1 and dentate gyrus of hippocampus, occipitotemporal cortex). Hierarchical cluster analysis was used to analyze the dataset that consisted of 75 different combinations of neuropathological features. TATs were nonspherical with heterogeneous staining patterns and present in all regions except hippocampal dentate. All three antibodies detected TATs although N-terminal antibody sensitivity was low. Three clusters were identified: Cluster-1 had mild-moderate TATs, moderate-frequent neuronal cytoplasmic inclusions, dystrophic neurites, neuronal intranuclear inclusions and fine neurites, and perivascular and granular inclusions identified only with the N-terminal antibody throughout the brain; Cluster-2 had scant TATs in limbic regions and Cluster-3 mild-moderate TATs and mild-moderate neuronal cytoplasmic inclusions and dystrophic neurites throughout the brain and moderate fine neurites. Only 17% of cluster 1 cases had the TMEM106b GG (protective) haplotype and 83% had hippocampal sclerosis. Both features differed across clusters (p=0.03 & p=0.01). TATs have molecular characteristics, distribution and burden, and genetic and pathologic associations like FTLD-TDP lesions.
Collapse
Affiliation(s)
| | - Shunsuke Koga
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | - Nirubol Tosakulwong
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Stephen D Weigand
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Matt Baker
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | | | - Rosa Rademakers
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | | | | |
Collapse
|
17
|
Carlos AF, Machulda MM, Rutledge MH, Nguyen AT, Reichard RR, Baker MC, Rademakers R, Dickson DW, Petersen RC, Josephs KA. Comparison of Clinical, Genetic, and Pathologic Features of Limbic and Diffuse Transactive Response DNA-Binding Protein 43 Pathology in Alzheimer's Disease Neuropathologic Spectrum. J Alzheimers Dis 2023; 93:1521-1535. [PMID: 37182869 PMCID: PMC10923399 DOI: 10.3233/jad-221094] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
BACKGROUND Increasing evidence suggests that TAR DNA-binding protein 43 (TDP-43) pathology in Alzheimer's disease (AD), or AD-TDP, can be diffuse or limbic-predominant. Understanding whether diffuse AD-TDP has genetic, clinical, and pathological features that differ from limbic AD-TDP could have clinical and research implications. OBJECTIVE To better characterize the clinical and pathologic features of diffuse AD-TDP and differentiate it from limbic AD-TDP. METHODS 363 participants from the Mayo Clinic Study of Aging, Alzheimer's Disease Research Center, and Neurodegenerative Research Group with autopsy confirmed AD and TDP-43 pathology were included. All underwent genetic, clinical, neuropsychologic, and neuropathologic evaluations. AD-TDP pathology distribution was assessed using the Josephs 6-stage scale. Stages 1-3 were classified as Limbic, those 4-6 as Diffuse. Multivariable logistic regression was used to identify clinicopathologic features that independently predicted diffuse pathology. RESULTS The cohort was 61% female and old at onset (median: 76 years [IQR:70-82]) and death (median: 88 years [IQR:82-92]). Fifty-four percent were Limbic and 46% Diffuse. Clinically, ∼10-20% increases in odds of being Diffuse associated with 5-year increments in age at onset (p = 0.04), 1-year longer disease duration (p = 0.02), and higher Neuropsychiatric Inventory scores (p = 0.03), while 15-second longer Trailmaking Test-B times (p = 0.02) and higher Block Design Test scores (p = 0.02) independently decreased the odds by ~ 10-15%. There was evidence for association of APOEɛ4 allele with limbic AD-TDP and of TMEM106B rs3173615 C allele with diffuse AD-TDP. Pathologically, widespread amyloid-β plaques (Thal phases: 3-5) decreased the odds of diffuse TDP-43 pathology by 80-90%, while hippocampal sclerosis increased it sixfold (p < 0.001). CONCLUSION Diffuse AD-TDP shows clinicopathologic and genetic features different from limbic AD-TDP.
Collapse
Affiliation(s)
- Arenn F. Carlos
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Mary M. Machulda
- Department of Psychology and Psychiatry, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Aivi T. Nguyen
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - R. Ross Reichard
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Matthew C. Baker
- Department of Neuroscience (Neuropathology), Mayo Clinic, Jacksonville, FL 32224, USA
| | - Rosa Rademakers
- Department of Neuroscience (Neuropathology), Mayo Clinic, Jacksonville, FL 32224, USA
- VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Flanders 2000, Belgium
| | - Dennis W. Dickson
- Department of Neuroscience (Neuropathology), Mayo Clinic, Jacksonville, FL 32224, USA
| | | | | |
Collapse
|
18
|
Carlos AF, Josephs KA. Frontotemporal lobar degeneration with TAR DNA-binding protein 43 (TDP-43): its journey of more than 100 years. J Neurol 2022; 269:4030-4054. [PMID: 35320398 PMCID: PMC10184567 DOI: 10.1007/s00415-022-11073-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 03/05/2022] [Accepted: 03/08/2022] [Indexed: 10/18/2022]
Abstract
Frontotemporal lobar degeneration (FTLD) with TDP-43-immunoreactive inclusions (FTLD-TDP) is a neurodegenerative disease associated with clinical, genetic, and neuropathological heterogeneity. An association between TDP-43, FTLD and amyotrophic lateral sclerosis (ALS) was first described in 2006. However, a century before immunohistochemistry existed, atypical dementias displaying behavioral, language and/or pyramidal symptoms and showing non-specific FTLD with superficial cortical neuronal loss, gliosis and spongiosis were often confused with Alzheimer's or Pick's disease. Initially this pathology was termed dementia lacking distinctive histopathology (DLDH), but this was later renamed when ubiquitinated inclusions originally found in ALS were also discovered in (DLDH), thus warranting a recategorization as FTLD-U (ubiquitin). Finally, the ubiquitinated protein was identified as TDP-43, which aggregates in cortical, subcortical, limbic and brainstem neurons and glial cells. The topography and morphology of TDP-43 inclusions associate with specific clinical syndromes and genetic mutations which implies different pathomechanisms that are yet to be discovered; hence, the TDP-43 journey has actually just begun. In this review, we describe how FTLD-TDP was established and defined clinically and neuropathologically throughout the past century.
Collapse
Affiliation(s)
- Arenn F Carlos
- Department of Neurology, Mayo Clinic, 200 1st St S.W, Rochester, MN, 55905, USA
| | - Keith A Josephs
- Department of Neurology, Mayo Clinic, 200 1st St S.W, Rochester, MN, 55905, USA.
| |
Collapse
|
19
|
Kawles A, Nishihira Y, Feldman A, Gill N, Minogue G, Keszycki R, Coventry C, Spencer C, Lilek J, Ajroud K, Coppola G, Rademakers R, Rogalski E, Weintraub S, Zhang H, Flanagan ME, Bigio EH, Mesulam MM, Geula C, Mao Q, Gefen T. Cortical and subcortical pathological burden and neuronal loss in an autopsy series of FTLD-TDP-type C. Brain 2022; 145:1069-1078. [PMID: 34919645 PMCID: PMC9050539 DOI: 10.1093/brain/awab368] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 08/11/2021] [Accepted: 08/29/2021] [Indexed: 10/31/2023] Open
Abstract
The TDP-43 type C pathological form of frontotemporal lobar degeneration is characterized by the presence of immunoreactive TDP-43 short and long dystrophic neurites, neuronal cytoplasmic inclusions, neuronal loss and gliosis and the absence of neuronal intranuclear inclusions. Frontotemporal lobar degeneration-TDP-type C cases are commonly associated with the semantic variant of primary progressive aphasia or behavioural variant frontotemporal dementia. Here, we provide detailed characterization of regional distributions of pathological TDP-43 and neuronal loss and gliosis in cortical and subcortical regions in 10 TDP-type C cases and investigate the relationship between inclusions and neuronal loss and gliosis. Specimens were obtained from the first 10 TDP-type C cases accessioned from the Northwestern Alzheimer's Disease Research Center (semantic variant of primary progressive aphasia, n = 7; behavioural variant frontotemporal dementia, n = 3). A total of 42 cortical (majority bilateral) and subcortical regions were immunostained with a phosphorylated TDP-43 antibody and/or stained with haematoxylin-eosin. Regions were evaluated for atrophy, and for long dystrophic neurites, short dystrophic neurites, neuronal cytoplasmic inclusions, and neuronal loss and gliosis using a semiquantitative 5-point scale. We calculated a 'neuron-to-inclusion' score (TDP-type C mean score - neuronal loss and gliosis mean score) for each region per case to assess the relationship between TDP-type C inclusions and neuronal loss and gliosis. Primary progressive aphasia cases demonstrated leftward asymmetry of cortical atrophy consistent with the aphasic phenotype. We also observed abundant inclusions and neurodegeneration in both cortical and subcortical regions, with certain subcortical regions emerging as particularly vulnerable to dystrophic neurites (e.g. amygdala, caudate and putamen). Interestingly, linear mixed models showed that regions with lowest TDP-type C pathology had high neuronal dropout, and conversely, regions with abundant pathology displayed relatively preserved neuronal densities (P < 0.05). This inverse relationship between the extent of TDP-positive inclusions and neuronal loss may reflect a process whereby inclusions disappear as their associated neurons are lost. Together, these findings offer insight into the putative substrates of neurodegeneration in unique dementia syndromes.
Collapse
Affiliation(s)
- Allegra Kawles
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Yasushi Nishihira
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Alex Feldman
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Nathan Gill
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Grace Minogue
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Rachel Keszycki
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Christina Coventry
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Callen Spencer
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Jaclyn Lilek
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Kaouther Ajroud
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Giovanni Coppola
- Department of Psychiatry and Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Rosa Rademakers
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Emily Rogalski
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Sandra Weintraub
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Hui Zhang
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Margaret E Flanagan
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Eileen H Bigio
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - M -Marsel Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Changiz Geula
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Cell and Developmental Biology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Qinwen Mao
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Tamar Gefen
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| |
Collapse
|
20
|
Tippett DC, Keser Z. Clinical and neuroimaging characteristics of primary progressive aphasia. HANDBOOK OF CLINICAL NEUROLOGY 2022; 185:81-97. [PMID: 35078612 PMCID: PMC9951770 DOI: 10.1016/b978-0-12-823384-9.00016-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
The chapter covers the clinical syndrome of a primary progressive aphasia (PPA), the demographics of this rare neurodegenerative disease, defining clinical and neuroanatomic characteristics of each PPA variant, disease progression, and behavioral features. The chapter begins with a brief introduction that includes references to seminal papers that defined this clinical syndrome and its three variants. The classic PPA subtypes discussed in the chapter are semantic variant PPA (svPPA), nonfluent/agrammatic PPA (nfaPPA), and logopenic variant PPA (lvPPA). The key language and cognitive characteristics, and language tasks that can elicit these language impairments, are detailed. Overlap in the clinical profiles of the PPA variants, which make differential diagnosis challenging, are explained. Disease progression is described, revealing that the PPA variants become more similar over time. Although PPA is language-predominant dementia, there are behavioral manifestations, particularly in svPPA. Changes in behavior in this variant are addressed as well as behavioral changes in nfaPPA and lvPPA that are less well recognized. The patterns of atrophy in the left temporal, parietal, and/or frontal cortices unique to each PPA variant are described. The underlying neuropathologies of the PPA variants are discussed, specifically tauopathies and non-tauopathies associated with svPPA and nfaPPA and Alzheimer's disease pathology in lvPPA.
Collapse
Affiliation(s)
- Donna C. Tippett
- Departments of Neurology, Otolaryngology—Head and Neck Surgery, and Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
| | - Zafer Keser
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
| |
Collapse
|
21
|
Bocchetta M, Malpetti M, Todd EG, Rowe JB, Rohrer JD. Looking beneath the surface: the importance of subcortical structures in frontotemporal dementia. Brain Commun 2021; 3:fcab158. [PMID: 34458729 PMCID: PMC8390477 DOI: 10.1093/braincomms/fcab158] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/21/2021] [Indexed: 12/15/2022] Open
Abstract
Whilst initial anatomical studies of frontotemporal dementia focussed on cortical involvement, the relevance of subcortical structures to the pathophysiology of frontotemporal dementia has been increasingly recognized over recent years. Key structures affected include the caudate, putamen, nucleus accumbens, and globus pallidus within the basal ganglia, the hippocampus and amygdala within the medial temporal lobe, the basal forebrain, and the diencephalon structures of the thalamus, hypothalamus and habenula. At the most posterior aspect of the brain, focal involvement of brainstem and cerebellum has recently also been shown in certain subtypes of frontotemporal dementia. Many of the neuroimaging studies on subcortical structures in frontotemporal dementia have been performed in clinically defined sporadic cases. However, investigations of genetically- and pathologically-confirmed forms of frontotemporal dementia are increasingly common and provide molecular specificity to the changes observed. Furthermore, detailed analyses of sub-nuclei and subregions within each subcortical structure are being added to the literature, allowing refinement of the patterns of subcortical involvement. This review focuses on the existing literature on structural imaging and neuropathological studies of subcortical anatomy across the spectrum of frontotemporal dementia, along with investigations of brain–behaviour correlates that examine the cognitive sequelae of specific subcortical involvement: it aims to ‘look beneath the surface’ and summarize the patterns of subcortical involvement have been described in frontotemporal dementia.
Collapse
Affiliation(s)
- Martina Bocchetta
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Maura Malpetti
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
| | - Emily G Todd
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - James B Rowe
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK.,Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| |
Collapse
|
22
|
Porta S, Xu Y, Lehr T, Zhang B, Meymand E, Olufemi M, Stieber A, Lee EB, Trojanowski JQ, Lee VMY. Distinct brain-derived TDP-43 strains from FTLD-TDP subtypes induce diverse morphological TDP-43 aggregates and spreading patterns in vitro and in vivo. Neuropathol Appl Neurobiol 2021; 47:1033-1049. [PMID: 33971027 DOI: 10.1111/nan.12732] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Revised: 03/30/2021] [Accepted: 05/02/2021] [Indexed: 12/12/2022]
Abstract
AIM The heterogeneity in the distribution and morphological features of TAR DNA-binding protein-43 (TDP-43) pathology in the brains of frontotemporal lobar degeneration (FTLD-TDP) patients and their different clinical manifestations suggest that distinct pathological TDP-43 strains could play a role in this heterogeneity between different FTLD-TDP subtypes (A-E). Our aim was to evaluate the existence of distinct TDP-43 strains in the brains of different FTLD-TDP subtypes and characterise their specific seeding properties in vitro and in vivo. METHODS AND RESULTS We used an inducible stable cell line expressing a mutant cytoplasmic TDP-43 (iGFP-NLSm) to evaluate the seeding properties of distinct pathological TDP-43 strains. Brain-derived TDP-43 protein extracts from FTLD-TDP types A (n = 6) and B (n = 3) cases induced the formation of round/spherical phosphorylated TDP-43 aggregates that morphologically differed from the linear and wavy wisps and bigger heterogeneous filamentous (skein-like) aggregates induced by type E (n = 3) cases. These morphological differences correlated with distinct biochemical banding patterns of sarkosyl-insoluble TDP-43 protein recovered from the transduced cells. Moreover, brain-derived TDP-43 extracts from type E cases showed higher susceptibility to PK digestion of full-length TDP-43 and the most abundant C-terminal fragments that characterise type E extracts. Finally, we showed that intracerebral injections of different TDP-43 strains induced a distinctive morphological and subcellular distribution of TDP-43 pathology and different spreading patterns in the brains of CamKIIa-hTDP-43NLSm Tg mice. CONCLUSIONS We show the existence of distinct TDP-43 strains in the brain of different FTLD-TDP subtypes with distinctive seeding and spreading properties in the brains of experimental animal models.
Collapse
Affiliation(s)
- Sílvia Porta
- Center for Neurodegenerative Disease Research (CNDR), Institute on Aging, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Yan Xu
- Center for Neurodegenerative Disease Research (CNDR), Institute on Aging, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Tagan Lehr
- Center for Neurodegenerative Disease Research (CNDR), Institute on Aging, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Bin Zhang
- Center for Neurodegenerative Disease Research (CNDR), Institute on Aging, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Emily Meymand
- Center for Neurodegenerative Disease Research (CNDR), Institute on Aging, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Modupe Olufemi
- Center for Neurodegenerative Disease Research (CNDR), Institute on Aging, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Anna Stieber
- Center for Neurodegenerative Disease Research (CNDR), Institute on Aging, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Edward B Lee
- Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research (CNDR), Institute on Aging, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Virginia M-Y Lee
- Center for Neurodegenerative Disease Research (CNDR), Institute on Aging, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| |
Collapse
|
23
|
Buciuc M, Whitwell JL, Baker MC, Rademakers R, Dickson DW, Josephs KA. Old age genetically confirmed frontotemporal lobar degeneration with TDP-43 has limbic predominant TDP-43 deposition. Neuropathol Appl Neurobiol 2021; 47:1050-1059. [PMID: 33969528 DOI: 10.1111/nan.12727] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 03/20/2021] [Accepted: 05/01/2021] [Indexed: 12/13/2022]
Abstract
AIMS To assess the burden of transactive response DNA-binding protein of 43 kDa (TDP-43) inclusions in a unique cohort of old-age patients with genetic frontotemporal lobar degeneration (gFTLD-TDP) and compare these patients with sporadic old-age individuals with TDP-43, either in the presence of Alzheimer's disease (AD-TDP) or in isolation (pure-TDP). METHODS The brain bank at Mayo Clinic-Jacksonville was searched for cases ≥75 years old at death with TDP-43 extending into middle frontal cortex. Cases were split into the following groups: (1) gFTLD-TDP (n = 15) with progranulin (GRN)/C9ORF72 mutations; (2) AD-TDP (n = 10)-cases with median Braak neurofibrillary tangle (NFT) stage VI, Thal phase V; (3) pure-TDP (n = 10)-cases with median Braak NFT stage I, Thal phase I. Clinical data were abstracted; TDP-43 burden was calculated using digital pathology. RESULTS Amnestic Alzheimer's dementia was the clinical diagnosis in ≥50% patients in each group. The distribution of TDP-43 burden in gFTLD-TDP and AD-TDP, but not pure-TDP, was limbic-predominant targeting CA1 and subiculum. Patients with gFTLD-TDP had higher burden in entorhinal cortex compared to AD-TDP. TDP-43 burden in middle frontal cortex did not differ between the three groups. CONCLUSIONS In old age it is challenging to clinically and pathologically differentiate gFTLD-TDP from AD-TDP and pure-TDP-43 based on burden. Like AD-TDP, old age gFTLD-TDP have a limbic predominant TDP-43 distribution. The finding that amnestic Alzheimer's dementia was the most common clinical diagnosis regardless of group suggests that TDP-43 directly and indirectly targets limbic regions.
Collapse
Affiliation(s)
- Marina Buciuc
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | | | - Matthew C Baker
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Rosa Rademakers
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | | | | |
Collapse
|
24
|
Pathway from TDP-43-Related Pathology to Neuronal Dysfunction in Amyotrophic Lateral Sclerosis and Frontotemporal Lobar Degeneration. Int J Mol Sci 2021; 22:ijms22083843. [PMID: 33917673 PMCID: PMC8068029 DOI: 10.3390/ijms22083843] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 04/02/2021] [Accepted: 04/06/2021] [Indexed: 12/15/2022] Open
Abstract
Transactivation response DNA binding protein 43 kDa (TDP-43) is known to be a pathologic protein in amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD). TDP-43 is normally a nuclear protein, but affected neurons of ALS or FTLD patients exhibit mislocalization of nuclear TDP-43 and cytoplasmic inclusions. Basic studies have suggested gain-of-neurotoxicity of aggregated TDP-43 or loss-of-function of intrinsic, nuclear TDP-43. It has also been hypothesized that the aggregated TDP-43 functions as a propagation seed of TDP-43 pathology. However, a mechanistic discrepancy between the TDP-43 pathology and neuronal dysfunctions remains. This article aims to review the observations of TDP-43 pathology in autopsied ALS and FTLD patients and address pathways of neuronal dysfunction related to the neuropathological findings, focusing on impaired clearance of TDP-43 and synaptic alterations in TDP-43-related ALS and FTLD. The former may be relevant to intraneuronal aggregation of TDP-43 and exocytosis of propagation seeds, whereas the latter may be related to neuronal dysfunction induced by TDP-43 pathology. Successful strategies of disease-modifying therapy might arise from further investigation of these subcellular alterations.
Collapse
|
25
|
Peet BT, Spina S, Mundada N, La Joie R. Neuroimaging in Frontotemporal Dementia: Heterogeneity and Relationships with Underlying Neuropathology. Neurotherapeutics 2021; 18:728-752. [PMID: 34389969 PMCID: PMC8423978 DOI: 10.1007/s13311-021-01101-x] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/01/2021] [Indexed: 12/11/2022] Open
Abstract
Frontotemporal dementia encompasses a group of clinical syndromes defined pathologically by degeneration of the frontal and temporal lobes. Historically, these syndromes have been challenging to diagnose, with an average of about three years between the time of symptom onset and the initial evaluation and diagnosis. Research in the field of neuroimaging has revealed numerous biomarkers of the various frontotemporal dementia syndromes, which has provided clinicians with a method of narrowing the differential diagnosis and improving diagnostic accuracy. As such, neuroimaging is considered a core investigative tool in the evaluation of neurodegenerative disorders. Furthermore, patterns of neurodegeneration correlate with the underlying neuropathological substrates of the frontotemporal dementia syndromes, which can aid clinicians in determining the underlying etiology and improve prognostication. This review explores the advancements in neuroimaging and discusses the phenotypic and pathologic features of behavioral variant frontotemporal dementia, semantic variant primary progressive aphasia, and nonfluent variant primary progressive aphasia, as seen on structural magnetic resonance imaging and positron emission tomography.
Collapse
Affiliation(s)
- Bradley T Peet
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.
| | - Salvatore Spina
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Nidhi Mundada
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Renaud La Joie
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| |
Collapse
|
26
|
Sieben A, Van Langenhove T, Vermeiren Y, Gossye H, Praet M, Vanhauwaert D, Cousaert C, Engelborghs S, Raedt R, Boon P, Santens P, De Deyn PP, Bracke KR, De Meulemeester K, Van Broeckhoven C, Martin JJ, Bjerke M. Hippocampal Sclerosis in Frontotemporal Dementia: When Vascular Pathology Meets Neurodegeneration. J Neuropathol Exp Neurol 2021; 80:313-324. [PMID: 33638350 DOI: 10.1093/jnen/nlab010] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Hippocampal sclerosis (HS) is a common neuropathological finding and has been associated with advanced age, TDP-43 proteinopathy, and cerebrovascular pathology. We analyzed neuropathological data of an autopsy cohort of early-onset frontotemporal dementia patients. The study aimed to determine whether in this cohort HS was related to TDP-43 proteinopathy and whether additional factors could be identified. We examined the relationship between HS, proteinopathies in frontotemporal cortices and hippocampus, Alzheimer disease, cerebrovascular changes, and age. We confirmed a strong association between HS and hippocampal TDP-43, whereas there was a weaker association between HS and frontotemporal lobar degeneration with TDP-43 pathology (FTLD-TDP). Nearly all of the FTLD-TDP cases had TDP-43 pathology in the hippocampus. HS was present in all FTLD-TDP type D cases, in 50% of the FTLD-TDP A cohort and in 6% of the FTLD-TDP B cohort. Our data also showed a significant association between HS and vascular changes. We reviewed the literature on HS and discuss possible pathophysiological mechanisms between TDP-43 pathology, cerebrovascular disease, and HS. Additionally, we introduced a quantitative neuronal cell count in CA1 to objectify the semiquantitative visual appreciation of HS.
Collapse
Affiliation(s)
- Anne Sieben
- Institute Born-Bunge, Neuropathology and Laboratory of Neurochemistry and Behavior, University of Antwerp, Antwerp, Belgium.,Department of Neurology, Ghent University Hospital, Ghent, Belgium.,Neurodegenerative Brain Diseases Group, Center for Molecular Neurology, VIB, Antwerp, Belgium.,Department of Neurology, AZ Jan Palfijn, Ghent, Belgium
| | - Tim Van Langenhove
- Department of Neurology, Ghent University Hospital, Ghent, Belgium.,Neurodegenerative Brain Diseases Group, Center for Molecular Neurology, VIB, Antwerp, Belgium
| | - Yannick Vermeiren
- Institute Born-Bunge, Neuropathology and Laboratory of Neurochemistry and Behavior, University of Antwerp, Antwerp, Belgium.,Division of Human Nutrition and Health, Chair Group of Nutritional Biology, Wageningen University and Research, Wageningen, The Netherlands
| | - Helena Gossye
- Neurodegenerative Brain Diseases Group, Center for Molecular Neurology, VIB, Antwerp, Belgium.,Department of Neurology, Antwerp University Hospital, Edegem, Belgium.,Institute Born-Bunge, Laboratory of Neurogenetics, University of Antwerp, Antwerp, Belgium.,Department of Neurology and Center for Neurosciences (C4N), UZ Brussel and Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Marleen Praet
- Department of Pathology, Ghent University Hospital, Ghent, Belgium
| | | | | | - Sebastiaan Engelborghs
- Institute Born-Bunge, Neuropathology and Laboratory of Neurochemistry and Behavior, University of Antwerp, Antwerp, Belgium.,Department of Neurology and Center for Neurosciences (C4N), UZ Brussel and Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Robrecht Raedt
- Department of Neurology, Ghent University Hospital, Ghent, Belgium
| | - Paul Boon
- Department of Neurology, Ghent University Hospital, Ghent, Belgium
| | - Patrick Santens
- Department of Neurology, Ghent University Hospital, Ghent, Belgium
| | - Peter Paul De Deyn
- Institute Born-Bunge, Neuropathology and Laboratory of Neurochemistry and Behavior, University of Antwerp, Antwerp, Belgium.,Neurodegenerative Brain Diseases Group, Center for Molecular Neurology, VIB, Antwerp, Belgium.,Department of Neurology and Alzheimer Research Center, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Ken R Bracke
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
| | | | - Christine Van Broeckhoven
- Neurodegenerative Brain Diseases Group, Center for Molecular Neurology, VIB, Antwerp, Belgium.,Laboratory of Neurogenetics, Institute Born-Bunge, Antwerp, Belgium.,Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Jean-Jacques Martin
- Institute Born-Bunge, Neuropathology and Laboratory of Neurochemistry and Behavior, University of Antwerp, Antwerp, Belgium
| | - Maria Bjerke
- Institute Born-Bunge, Neuropathology and Laboratory of Neurochemistry and Behavior, University of Antwerp, Antwerp, Belgium.,Neurochemistry Laboratory, Department of Clinical Biology and Center for Neurosciences, University hospital Brussels and Free University of Brussels, Brussels, Belgium
| |
Collapse
|
27
|
Neumann M, Lee EB, Mackenzie IR. Frontotemporal Lobar Degeneration TDP-43-Immunoreactive Pathological Subtypes: Clinical and Mechanistic Significance. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1281:201-217. [PMID: 33433877 DOI: 10.1007/978-3-030-51140-1_13] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Frontotemporal lobar degeneration with TPD-43-immunoreactive pathology (FTLD-TDP) is subclassified based on the type and cortical laminar distribution of neuronal inclusions. The relevance of these pathological subtypes is supported by the presence of relatively specific clinical and genetic correlations. Recent evidence suggests that the different patterns of pathology are a reflection of biochemical differences in the pathological TDP-43 species, each of which is influenced by differing genetic factors. As a result, patient FTLD-TDP subtype may be an important factor to consider when developing biomarkers and targeted therapies for frontotemporal dementia. In this chapter, we first describe the pathological features, clinical and genetic correlations of the currently recognized FTLD-TDP subtypes. We then discuss a number of novel patterns of TDP-43 pathology. Finally, we provide an overview of what is currently known about the biochemical basis of the different FTLD-TDP subtypes and how this may explain the observed phenotypic and pathological heterogeneity.
Collapse
Affiliation(s)
- Manuela Neumann
- Department of Neuropathology, University of Tübingen, Tübingen, Germany.,DZNE, German Center for Neurodegenerative Diseases, Tübingen, Germany
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA
| | - Ian R Mackenzie
- Department of Pathology, University of British Columbia, Vancouver, BC, Canada. .,Department of Pathology, Vancouver General Hospital, Vancouver, BC, Canada.
| |
Collapse
|
28
|
de Pablo-Fernández E, González-Herrero B, Cerdán Santacruz D, Rossor MN, Schott JM, Lashley T, Holton JL, Fox NC, Revesz T, Warren JD, Jaunmuktane Z, Rohrer JD, Warner TT. A Clinicopathologic Study of Movement Disorders in Frontotemporal Lobar Degeneration. Mov Disord 2020; 36:632-641. [PMID: 33155746 DOI: 10.1002/mds.28356] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 09/29/2020] [Accepted: 10/12/2020] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Despite the considerable overlap with atypical parkinsonism, a systematic characterization of the movement disorders associated with frontotemporal lobar degeneration (FTLD) is lacking. OBJECTIVE The aim of this study is to provide a detailed description of the phenomenology and neuropathologic correlations of movement disorders in FTLD. METHODS In this cohort study, movement disorder clinical data were retrospectively collected from medical records of consecutive patients with a postmortem diagnosis of FTLD from the Queen Square Brain Bank between January 2010 and December 2018. At postmortem, neurodegenerative pathologies were systematically evaluated following consensus criteria. Degeneration of the substantia nigra was assessed as a marker of presynaptic dopaminergic parkinsonism using semiquantitative methods. RESULTS A total of 55 patients (35 men [64%]) were included with median (interquartile range) age at diagnosis of 58.8 (52.6-63.9) years and a disease duration of 9.6 (6.2-12.9) years. Movement disorders were present in 19 (35%) patients without differences among disease subtypes. The most common syndromes were parkinsonism (9 patients [16%]), usually as an additional late feature, and corticobasal syndrome (CBS, 7 patients [13%]), commonly as a presenting feature. Substantia nigra degeneration was present in 37 (67%) patients although it did not show a good clinical correlation with movement disorders. Those with Pick's disease showed milder substantia nigra degeneration and better response to levodopa. CONCLUSIONS Movement disorders can present in all FTLD subtypes, more commonly as a late additional feature (parkinsonism) or as a presenting symptom (CBS). The underlying pathophysiology is complex and likely to involve structures outside the presynaptic striatonigral system. © 2020 International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Eduardo de Pablo-Fernández
- Department of Clinical and Movement Neurosciences, Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, United Kingdom.,Department of Clinical and Movement Neurosciences, Reta Lila Weston Institute of Neurological Studies, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Belén González-Herrero
- Department of Clinical and Movement Neurosciences, Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, United Kingdom.,Bellvitge University Hospital and Bellvitge Biomedical Research Institute-IDIBELL, University of Barcelona, Barcelona, Spain
| | - Debora Cerdán Santacruz
- Department of Clinical and Movement Neurosciences, Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, United Kingdom.,Neurology Department, Complejo Asistencial de Segovia, Segovia, Spain
| | - Martin N Rossor
- Department of Neurodegenerative Diseases, Dementia Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Jonathan M Schott
- Department of Neurodegenerative Diseases, Dementia Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Tammaryn Lashley
- Department of Clinical and Movement Neurosciences, Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, United Kingdom.,Department of Neurodegenerative Diseases, Dementia Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Janice L Holton
- Department of Clinical and Movement Neurosciences, Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Nick C Fox
- Department of Neurodegenerative Diseases, Dementia Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Tamas Revesz
- Department of Clinical and Movement Neurosciences, Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Jason D Warren
- Department of Neurodegenerative Diseases, Dementia Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Zane Jaunmuktane
- Department of Clinical and Movement Neurosciences, Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Jonathan D Rohrer
- Department of Neurodegenerative Diseases, Dementia Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Thomas T Warner
- Department of Clinical and Movement Neurosciences, Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, United Kingdom.,Department of Clinical and Movement Neurosciences, Reta Lila Weston Institute of Neurological Studies, UCL Queen Square Institute of Neurology, London, United Kingdom
| |
Collapse
|
29
|
Prudencio M, Humphrey J, Pickles S, Brown AL, Hill SE, Kachergus JM, Shi J, Heckman MG, Spiegel MR, Cook C, Song Y, Yue M, Daughrity LM, Carlomagno Y, Jansen-West K, de Castro CF, DeTure M, Koga S, Wang YC, Sivakumar P, Bodo C, Candalija A, Talbot K, Selvaraj BT, Burr K, Chandran S, Newcombe J, Lashley T, Hubbard I, Catalano D, Kim D, Propp N, Fennessey S, Fagegaltier D, Phatnani H, Secrier M, Fisher EM, Oskarsson B, van Blitterswijk M, Rademakers R, Graff-Radford NR, Boeve BF, Knopman DS, Petersen RC, Josephs KA, Thompson EA, Raj T, Ward M, Dickson DW, Gendron TF, Fratta P, Petrucelli L. Truncated stathmin-2 is a marker of TDP-43 pathology in frontotemporal dementia. J Clin Invest 2020; 130:6080-6092. [PMID: 32790644 PMCID: PMC7598060 DOI: 10.1172/jci139741] [Citation(s) in RCA: 132] [Impact Index Per Article: 26.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 08/11/2020] [Indexed: 12/12/2022] Open
Abstract
No treatment for frontotemporal dementia (FTD), the second most common type of early-onset dementia, is available, but therapeutics are being investigated to target the 2 main proteins associated with FTD pathological subtypes: TDP-43 (FTLD-TDP) and tau (FTLD-tau). Testing potential therapies in clinical trials is hampered by our inability to distinguish between patients with FTLD-TDP and FTLD-tau. Therefore, we evaluated truncated stathmin-2 (STMN2) as a proxy of TDP-43 pathology, given the reports that TDP-43 dysfunction causes truncated STMN2 accumulation. Truncated STMN2 accumulated in human induced pluripotent stem cell-derived neurons depleted of TDP-43, but not in those with pathogenic TARDBP mutations in the absence of TDP-43 aggregation or loss of nuclear protein. In RNA-Seq analyses of human brain samples from the NYGC ALS cohort, truncated STMN2 RNA was confined to tissues and disease subtypes marked by TDP-43 inclusions. Last, we validated that truncated STMN2 RNA was elevated in the frontal cortex of a cohort of patients with FTLD-TDP but not in controls or patients with progressive supranuclear palsy, a type of FTLD-tau. Further, in patients with FTLD-TDP, we observed significant associations of truncated STMN2 RNA with phosphorylated TDP-43 levels and an earlier age of disease onset. Overall, our data uncovered truncated STMN2 as a marker for TDP-43 dysfunction in FTD.
Collapse
Affiliation(s)
- Mercedes Prudencio
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, Florida, USA
| | - Jack Humphrey
- Ronald M. Loeb Center for Alzheimer’s Disease, Nash Family Department of Neuroscience and Friedman Brain Institute, and
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Sarah Pickles
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, Florida, USA
| | - Anna-Leigh Brown
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Sarah E. Hill
- National Institute of Neurological Disorders and Stroke (NINDS), NIH, Bethesda, Maryland, USA
| | | | - J. Shi
- Department of Cancer Biology, and
| | - Michael G. Heckman
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, Florida, USA
| | - Matthew R. Spiegel
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, Florida, USA
| | - Casey Cook
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, Florida, USA
| | - Yuping Song
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | - Mei Yue
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | | | - Yari Carlomagno
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, Florida, USA
| | | | | | - Michael DeTure
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, Florida, USA
| | - Shunsuke Koga
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, Florida, USA
| | - Ying-Chih Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Prasanth Sivakumar
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Cristian Bodo
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Ana Candalija
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Kevin Talbot
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Bhuvaneish T. Selvaraj
- UK Dementia Research Institute and Euan MacDonald Centre for Motor Neurone Disease (MND) Research, The University of Edinburgh, United Kingdom
| | - Karen Burr
- UK Dementia Research Institute and Euan MacDonald Centre for Motor Neurone Disease (MND) Research, The University of Edinburgh, United Kingdom
| | - Siddharthan Chandran
- UK Dementia Research Institute and Euan MacDonald Centre for Motor Neurone Disease (MND) Research, The University of Edinburgh, United Kingdom
| | | | - Tammaryn Lashley
- Department of Neurodegenerative Disease, and
- Queen Square Brain Bank for Neurological Disorders, Department of Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, London, United Kingdom
| | | | | | - Duyang Kim
- Center for Genomics of Neurodegenerative Disease, and
| | - Nadia Propp
- Center for Genomics of Neurodegenerative Disease, and
| | | | | | | | | | - Maria Secrier
- University College London Genetics Institute, London, United Kingdom
| | - Elizabeth M.C. Fisher
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Björn Oskarsson
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, USA
| | - Marka van Blitterswijk
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, Florida, USA
| | - Rosa Rademakers
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, Florida, USA
| | | | | | | | | | | | | | - Towfique Raj
- Ronald M. Loeb Center for Alzheimer’s Disease, Nash Family Department of Neuroscience and Friedman Brain Institute, and
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Michael Ward
- National Institute of Neurological Disorders and Stroke (NINDS), NIH, Bethesda, Maryland, USA
| | - Dennis W. Dickson
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, Florida, USA
| | - Tania F. Gendron
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, Florida, USA
| | - Pietro Fratta
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Leonard Petrucelli
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, Florida, USA
| |
Collapse
|
30
|
McAleese KE, Walker L, Erskine D, Johnson M, Koss D, Thomas AJ, Attems J. Concomitant LATE-NC in Alzheimer's disease is not associated with increased tau or amyloid-β pathological burden. Neuropathol Appl Neurobiol 2020; 46:722-734. [PMID: 32896913 DOI: 10.1111/nan.12664] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Revised: 07/23/2020] [Accepted: 08/22/2020] [Indexed: 12/14/2022]
Abstract
AIMS Limbic-predominant age-related TDP-43 encephalopathy neuropathological change (LATE-NC) is present in approximately 50% of Alzheimer's disease (AD) cases and is associated with accelerated cognitive decline. Studies indicate a potential synergistic relationship between LATE-NC and hyperphosphorylated tau. It is unknown if LATE-NC is an independent driver of cognitive impairment or exerts its influence through synergistic relationships with tau. This cliniconeuropathological study investigated the impact of LATE-NC on quantified measures of AD-associated pathology and its impact on clinical measures. METHODS A total of 61 AD cases underwent neuropathological assessment for LATE-NC and quantitative assessment [area covered by immunoreactivity (IR)] for early conformational tau (MC-1), late-stage hyperphosphorylated tau (AT8) and amyloid-β in the amygdala and five neocortical regions. Clinical measures included age of disease onset, final Mini-Mental State Examination (MMSE) score and rate of cognitive decline. RESULTS LATE-NC was present in 41 AD cases (AD/LATE-NC; 67.2%). No significant differences in MC-1-IR, AT8-IR or 4G8-IR were observed in any region between AD/LATE-NC and AD without LATE-NC, indicating no accelerated aggregation or hyperphosphorylation of tau proteins in the AD/LATE-NC cases. Final MMSE was significantly lower in AD/LATE-NC cases and was significantly associated with LATE-NC score even when controlled for the presence of both MC-1-IR and AT8-IR (P = 0.009). CONCLUSION The presence of LATE-NC in AD is not associated with an increase in the burden of early or late tau or Aβ pathology. LATE-NC is associated with a lower final MMSE score independent of tau pathology.
Collapse
Affiliation(s)
- K E McAleese
- Translation and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - L Walker
- Translation and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - D Erskine
- Translation and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - M Johnson
- Translation and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - D Koss
- Translation and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - A J Thomas
- Translation and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - J Attems
- Translation and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
| |
Collapse
|
31
|
Neumann M, Mackenzie IRA. Review: Neuropathology of non-tau frontotemporal lobar degeneration. Neuropathol Appl Neurobiol 2020; 45:19-40. [PMID: 30357887 DOI: 10.1111/nan.12526] [Citation(s) in RCA: 92] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Accepted: 09/29/2018] [Indexed: 12/12/2022]
Abstract
Frontotemporal dementia (FTD) is a heterogeneous clinical syndrome associated with frontotemporal lobar degeneration (FTLD) as a relatively consistent neuropathological hallmark feature. However, the discoveries in the past decade of many of the relevant pathological proteins aggregating in human FTD brains in addition to several new FTD causing gene mutations underlined that FTD is a diverse condition on the neuropathological and genetic basis. This resulted in a novel molecular classification of these conditions based on the predominant protein abnormality and allows most cases of FTD to be placed now into one of three broad molecular subgroups; FTLD with tau, TAR DNA-binding protein 43 or FET protein accumulation (FTLD-tau, FTLD-TDP and FTLD-FET respectively). This review will provide an overview of the molecular neuropathology of non-tau FTLD, insights into disease mechanisms gained from the study of human post mortem tissue as well as discussion of current controversies in the field.
Collapse
Affiliation(s)
- M Neumann
- Department of Neuropathology, University Hospital of Tübingen, Tübingen, Germany.,Molecular Neuropathology of Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - I R A Mackenzie
- Department of Pathology, University of British Columbia and Vancouver General Hospital, Vancouver, BC, Canada
| |
Collapse
|
32
|
Josephs KA, Mackenzie I, Frosch MP, Bigio EH, Neumann M, Arai T, Dugger BN, Ghetti B, Grossman M, Hasegawa M, Herrup K, Holton J, Jellinger K, Lashley T, McAleese KE, Parisi JE, Revesz T, Saito Y, Vonsattel JP, Whitwell JL, Wisniewski T, Hu W. LATE to the PART-y. Brain 2020; 142:e47. [PMID: 31359030 PMCID: PMC6736234 DOI: 10.1093/brain/awz224] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Affiliation(s)
| | - Ian Mackenzie
- Department of Pathology and Laboratory Medicine, University of British Columbia and Vancouver General Hospital, Vancouver, British Columbia, Canada
| | - Matthew P Frosch
- Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Eileen H Bigio
- Feinberg School of Medicine, Northwesterm University, Chicago, IL, USA
| | - Manuela Neumann
- Department of Neuropathology, University of Tübingen and German Center for Neurodegenerative Diseases, Tübingen, Germany
| | - Tetsuaki Arai
- Department of Psychiatry, Division of Clinical Medicine, University of Tsukuba, Tsukuba, Japan
| | - Brittany N Dugger
- Department of Pathology and Laboratory Medicine, UC Davis, Sacramento, CA, USA
| | - Bernardino Ghetti
- Pathology and Laboratory Medicine, Indiana University, Indiana, IL, USA
| | - Murray Grossman
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Masato Hasegawa
- Department of Dementia and Higher Brain Function, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Karl Herrup
- Department of Neurology, Alzheimer's Disease Research Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Janice Holton
- UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Kurt Jellinger
- Institute of Clinical Neurobiology, Medical University of Vienna, Vienna, Austria
| | - Tammaryn Lashley
- UCL Queen Square Institute of Neurology, University College London, London, UK
| | | | - Joseph E Parisi
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Tamas Revesz
- UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Yuko Saito
- National Center of Neurology and Pathology Brain Bank, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan
| | | | | | | | - William Hu
- Department of Neurology and Center for Neurodegenerative Diseases Research, Emory University, Atlanta, GA, USA
| |
Collapse
|
33
|
Riku Y. Reappraisal of the anatomical spreading and propagation hypothesis about TDP-43 aggregation in amyotrophic lateral sclerosis and frontotemporal lobar degeneration. Neuropathology 2020; 40:426-435. [PMID: 32157757 DOI: 10.1111/neup.12644] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 12/24/2019] [Accepted: 12/26/2019] [Indexed: 12/11/2022]
Abstract
Neuronal inclusion of transactivation response DNA-binding protein 43 kDa (TDP-43) is known to be a pathologic hallmark of amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD). TDP-43, which is physiologically a nuclear protein, is mislocalized from the nucleus and aggregated within the cytoplasm of affected neurons in ALS and FTLD patients. Neuropathologic or experimental studies have addressed mechanisms underlying spreading of TDP-43 inclusions in the central nervous system of ALS and FTLD patients. On the basis of postmortem observations, it is hypothesized that TDP-43 inclusions spread along the neural projections. A centrifugal gradient of TDP-43 pathology in certain anatomical systems and axonal or synaptic aggregation of TDP-43 may support the hypothesis. Experimental studies have revealed cell-to-cell propagation of aggregated or truncated TDP-43, which indicates a direct transmission of TDP-43 inclusions to contiguous cells. However, discrepancies remain between the cell-to-cell propagation suggested in the experimental models and the anatomical spreading of TDP-43 aggregations based on postmortem observations. Trans-synaptic transmission, rather than the direct cell-to-cell transmission, may be consistent with the anatomical spreading of TDP-43 aggregations, but cellular mechanisms of trans-synaptic transmission of aggregated proteins remain to be elucidated. Moreover, the spreading of TDP-43 inclusions varies among patients and genetic backgrounds, which indicates host-dependent factors for spreading of TDP-43 aggregations. Perturbation of cellular TDP-43 clearance may be a possible factor modifying the aggregation and spreading. This review discusses postmortem and experimental evidence that address mechanisms of spreading of TDP-43 pathology in the central nervous system of ALS and FTLD patients.
Collapse
Affiliation(s)
- Yuichi Riku
- Institute for Medical Science of Aging, Aichi Medical University, Nagakute, Aichi, Japan.,Department of Neurology, Nagoya University, Nagoya, Japan.,Department of Neuropathology Raymond Escourolle, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Paris, France
| |
Collapse
|
34
|
Subcortical TDP-43 pathology patterns validate cortical FTLD-TDP subtypes and demonstrate unique aspects of C9orf72 mutation cases. Acta Neuropathol 2020; 139:83-98. [PMID: 31501924 DOI: 10.1007/s00401-019-02070-4] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 08/23/2019] [Accepted: 08/30/2019] [Indexed: 02/07/2023]
Abstract
Frontotemporal lobar degeneration with TDP-43 immunoreactive (TDP-ir) inclusions (FTLD-TDP) is sub-classified based on the pattern of neocortical pathology, with each subtype showing clinical and genetic correlations. Recent studies indicate that accurate subtyping of cases may be important to help identify genetic risk factors and develop biomarkers. Although most FTLD-TDP cases are easily classified, some do not match well to one of the existing subtypes. In particular, cases with the C9orf72 repeat expansion (C9+) have been reported to show FTLD-TDP type A, type B or a combination of A and B pathology (A + B). In our series of FTLD-TDP cases, we found that those lacking the C9orf72 mutation (non-C9) were all readily classified as type A (n = 29), B (n = 16) or C (n = 18), using current criteria and standard observational methods. This classification was validated using non-biased hierarchical cluster analysis (HCA) of neocortical pathology data. In contrast, only 14/28 (50%) of the C9+ cases were classified as either pure type A or pure type B, with the remainder showing A + B features. HCA confirmed separation of the C9+ cases into three groups. We then investigated whether patterns of subcortical TDP-ir pathology helped to classify the difficult cases. For the non-C9 cases, each subtype showed a consistent pattern of subcortical involvement with significant differences among the groups. The most distinguishing features included white matter threads, neuronal intranuclear inclusions in hippocampus and striatum, and delicate threads in CA1 in type A; glial cytoplasmic inclusions in white matter and neuronal cytoplasmic inclusions (NCI) in lower motor neurons in type B; compact NCI in striatum in type C. HCA of the C9+ cases based on subcortical features increased the number that clustered with the non-C9 type A (46%) or non-C9 type B (36%); however, there remained a C9+ group with A + B features (18%). These findings suggest that most FTLD-TDP cases can be classified using existing criteria and that each group also shows characteristic subcortical TDP-ir pathology. However, C9+ cases may be unique in the degree to which their pathology overlaps between FTLD-TDP types A and B.
Collapse
|
35
|
Mao Q, Zheng X, Gefen T, Rogalski E, Spencer CL, Rademakers R, Fought AJ, Kohler M, Weintraub S, Xia H, Mesulam MM, Bigio EH. FTLD-TDP With and Without GRN Mutations Cause Different Patterns of CA1 Pathology. J Neuropathol Exp Neurol 2019; 78:844-853. [PMID: 31361008 PMCID: PMC7967835 DOI: 10.1093/jnen/nlz059] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2019] [Revised: 06/03/2019] [Accepted: 06/20/2019] [Indexed: 12/12/2022] Open
Abstract
Heterozygous loss-of-function mutations in the GRN gene lead to progranulin (PGRN) haploinsufficiency and cause frontotemporal lobar degeneration with TDP-43 pathology type A (FTLD-TDP type A). PGRN is a highly conserved, secreted glycoprotein and functions in the central nervous system as a key modulator of microglial function. Hence, altered microglial function caused by PGRN deficiency may be tied to the pathogenesis of FTLD-TDP. Our previous studies showed that haploinsufficiency of GRN mutations extends to microglial PGRN expression in the hippocampal CA1 region. In this study, we found that the CA1 sector was associated with less neuronal loss and more frequent TDP-43 inclusions in FTLD-TDP type A cases with GRN mutations than in sporadic cases. In addition, the CA1 region in GRN mutation cases contained more rod-like microglia, which also had reduced PGRN expression. These findings suggest that the profile of TDP-43 inclusions, neuronal number, and microgliosis in the CA1 sector of FTLD-TDP type A cases may be influenced by GRN gene expression status.
Collapse
Affiliation(s)
- Qinwen Mao
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Xiaojing Zheng
- Laboratory of Gene Therapy, Department of Biochemistry, College of Life Sciences, Shaanxi Normal University, Xi’an, Shaanxi, P.R. China
| | - Tamar Gefen
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Emily Rogalski
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Callen L Spencer
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Rosa Rademakers
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida
| | - Angela J Fought
- Division of Biostatistics, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine
| | | | - Sandra Weintraub
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Haibin Xia
- Laboratory of Gene Therapy, Department of Biochemistry, College of Life Sciences, Shaanxi Normal University, Xi’an, Shaanxi, P.R. China
| | - Marek-Marsel Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Eileen H Bigio
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| |
Collapse
|
36
|
Josephs KA, Zhang YJ, Baker M, Rademakers R, Petrucelli L, Dickson DW. C-terminal and full length TDP-43 specie differ according to FTLD-TDP lesion type but not genetic mutation. Acta Neuropathol Commun 2019; 7:100. [PMID: 31266542 PMCID: PMC6607585 DOI: 10.1186/s40478-019-0755-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Accepted: 06/19/2019] [Indexed: 12/13/2022] Open
Abstract
The transactive response DNA binding protein of 43 kDa (TDP-43) is an intranuclear protein involved in RNA splicing. Abnormally deposited TDP-43 is found in the brains of patients with frontotemporal lobar degeneration (FTLD). Different morphological characteristics of TDP-43 immunoreactive inclusions define the different variants of FTLD-TDP. Little is known about the relationships between TDP-43 specie (phosphorylated TDP-43, C-terminal fragments and full length TDP-43) and lesion types. Using novel antibodies that recognize phosphorylated TDP-43 (pTDP-43), a neoepitope in the C-terminal fragment of TDP-43 (cTDP-43) and the N-terminal, i.e. full length (nTDP-43) we assess the relative burden of pTDP-43, cTDP-43 and nTDP-43 in 8 different lesion types across FTLD-TDP type A-C. These include neuronal cytoplasmic inclusions, dystrophic neurites, neuronal intranuclear inclusions, fine neurites of the hippocampus, peri-vascular inclusions, Pick body-like inclusions, long thick dystrophic neurites and granular pre-inclusions. We also assess for associations with progranulin (GRN) and C9ORF72 genetic mutations. For all eight lesion types, the highest burden was observed for pTDP-43. In six of the eight lesions studied, cTDP-43 burden was greater than nTDP-43 burden. However, we observed a higher burden of nTDP-43 to cTDP-43 for pre-inclusions. We also noted an equal-to-slightly higher burden of nTDP-43 to cTDP-43 for peri-vascular inclusions. There was not strong evidence for associations to be driven by mutation status although for neuronal cytoplasmic inclusions and dystrophic neurites GRN+ cases had higher burden of pTDP-43, cTDP-43 and nTDP-43 compared to GRN- cases, with nTDP-43 inclusions only observed in GRN+ cases. In addition, for pre-inclusions, cTDP-43 and nTDP-43 burden tended to be higher in C9ORF72- cases compared to C9ORF72+ cases, although this was not the case for pTDP-43. There is clear evidence that phosphorylation and C terminal fragments play an important role in lesion formation in FTLD-TDP. However, for some inclusions, particularly pre-inclusions, full-length TDP-43 appears to be playing a role.
Collapse
|
37
|
Keator LM, Wright AE, Saxena S, Kim K, Demsky C, Sebastian R, Sheppard SM, Breining B, Hillis AE, Tippett DC. Distinguishing logopenic from semantic & nonfluent variant primary progressive aphasia: Patterns of linguistic and behavioral correlations. Neurocase 2019; 25:98-105. [PMID: 31164050 PMCID: PMC9677583 DOI: 10.1080/13554794.2019.1625929] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
While language characteristics of logopenic variant primary progressive aphasia (lvPPA) are well-defined, behavioral characteristics are less understood. We investigated correlations between language and behavioral scores across three variants of primary progressive aphasia (PPA) and found language performance and behavioral disturbances are correlated in lvPPA, but not other PPA subtypes. Results suggest that unlike other PPA variants, patients diagnosed with lvPPA do not develop negative behaviors until language deficits are severe. This is consistent with the underlying neuropathology of lvPPA, Alzheimer's Disease. Such findings are crucial to clinical prognosis, especially when considering the progressive nature of this disease.
Collapse
Affiliation(s)
- Lynsey M Keator
- a Department of Neurology , Johns Hopkins University School of Medicine , Baltimore , MD , USA
| | - Amy E Wright
- a Department of Neurology , Johns Hopkins University School of Medicine , Baltimore , MD , USA
| | - Sadhvi Saxena
- a Department of Neurology , Johns Hopkins University School of Medicine , Baltimore , MD , USA
| | - Kevin Kim
- a Department of Neurology , Johns Hopkins University School of Medicine , Baltimore , MD , USA
| | - Cornelia Demsky
- a Department of Neurology , Johns Hopkins University School of Medicine , Baltimore , MD , USA
| | - Rajani Sebastian
- a Department of Neurology , Johns Hopkins University School of Medicine , Baltimore , MD , USA
| | - Shannon M Sheppard
- a Department of Neurology , Johns Hopkins University School of Medicine , Baltimore , MD , USA
| | - Bonnie Breining
- a Department of Neurology , Johns Hopkins University School of Medicine , Baltimore , MD , USA
| | - Argye E Hillis
- a Department of Neurology , Johns Hopkins University School of Medicine , Baltimore , MD , USA.,b Department of Cognitive Science , Krieger School of Arts and Sciences, Johns Hopkins University , Baltimore , MD , USA.,c Department of Physical Medicine and Rehabilitation , Johns Hopkins University School of Medicine , Baltimore , MD , USA
| | - Donna C Tippett
- a Department of Neurology , Johns Hopkins University School of Medicine , Baltimore , MD , USA.,c Department of Physical Medicine and Rehabilitation , Johns Hopkins University School of Medicine , Baltimore , MD , USA.,d Department of Otolaryngology-Head and Neck Surgery , Johns Hopkins University School of Medicine , Baltimore , MD , USA
| |
Collapse
|
38
|
Pathological, imaging and genetic characteristics support the existence of distinct TDP-43 types in non-FTLD brains. Acta Neuropathol 2019; 137:227-238. [PMID: 30604226 DOI: 10.1007/s00401-018-1951-7] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Revised: 12/13/2018] [Accepted: 12/16/2018] [Indexed: 12/13/2022]
Abstract
TDP-43 is present in a high proportion of aged brains that do not meet criteria for frontotemporal lobar degeneration (FTLD). We determined whether there are distinct TDP-43 types in non-FTLD brains. From a cohort of 553 brains (Braak neurofibrillary tangle (NFT) stage 0-VI), excluding cases meeting criteria for FTLD, we identified those that had screened positive for TDP-43. We reviewed 14 different brain regions in these TDP-43 positive cases and classified them into those with "typical" TDP-43 immunoreactive inclusions (TDP type-α), and those in which TDP-43 immunoreactivity was adjacent to/associated with NFTs in the same neuron (TDP type-β). We compared pathological, genetic (APOE4, TMEM106B and GRN variants), neuroimaging and clinical data between types, as well as compared neuroimaging between types and a group of TDP-43 negative cases (n = 309). Two-hundred forty-one cases were classified as TDP type-α (n = 131, 54%) or TDP type-β (n = 110, 46%). Type-α cases were older than type-β at death (median 89 years vs. 87 years; p = 0.02). Hippocampal sclerosis was present in 78 (60%) type-α cases and 16 (15%) type-β cases (p < 0.001). Type-α cases showed a pattern of widespread TDP-43 deposition commonly extending into temporal, frontal and brainstem regions (84% TDP-43 stage 4-6) while in type-β cases deposition was predominantly limbic, located in amygdala, entorhinal cortex and subiculum of the hippocampus (84% TDP-43 stages 1-3) (p < 0.001). There was a difference in the frequency of TMEM106B protective (GG) and risk (CC) haplotypes (SNP rs3173615 encoding p.T185S) in type-α cases compared to type-β cases (GG/CG/CC: 8%/42%/50% vs. 24%/49%/27%; p = 0.01). Type-α cases had smaller amygdala (- 10.6% [- 17.6%, - 3.5%]; p = 0.003) and hippocampal (- 14.4% [- 21.6%, - 7.3%]; p < 0.001) volumes on MRI at death compared to type-β cases, although both types had smaller amygdala and hippocampal volumes compared to TDP-43 negative cases (- 7.77%, - 21.6%; p < 0.001). These findings demonstrate that there is distinct heterogeneity of TDP-43 deposition in non-FTLD brains.
Collapse
|
39
|
Sakae N, Bieniek KF, Zhang YJ, Ross K, Gendron TF, Murray ME, Rademakers R, Petrucelli L, Dickson DW. Poly-GR dipeptide repeat polymers correlate with neurodegeneration and Clinicopathological subtypes in C9ORF72-related brain disease. Acta Neuropathol Commun 2018; 6:63. [PMID: 30029693 PMCID: PMC6054740 DOI: 10.1186/s40478-018-0564-7] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Accepted: 06/30/2018] [Indexed: 12/13/2022] Open
Abstract
Frontotemporal lobar degeneration (FTLD) is heterogeneous in clinical presentation, neuropathological characteristics and genetics. An expanded GGGGCC hexanucleotide repeat in C9ORF72 is the most common genetic cause of both FTLD and motor neuron disease (MND). Dipeptide repeat polymers (DPR) are generated through repeat-associated non-ATG translation, and they aggregate in neuronal inclusions with a distribution distinct from that of TDP-43 pathology. Recent studies from animal and cell culture models suggest that DPR might be toxic, but that toxicity may differ for specific DPR. Arginine containing DPR (poly-GR and poly-PR) have the greatest toxicity and are less frequent than other DPR (poly-GP, poly-GA). A unique feature of arginine-containing DPR is their potential for post-translational modification by methyl-transferases, which produces methylarginine DPR. In this report, we explored the relationship of DPR and methylarginine to markers of neurodegeneration using quantitative digital microscopic methods in 40 patients with C9ORF72 mutations and one of three different clinicopathologic phenotypes, FTLD, FTLD-MND or MND. We find that density and distribution of poly-GR inclusions are different from poly-GA and poly-GP inclusions. We also demonstrate colocalization of poly-GR with asymmetrical dimethylarginine (aDMA) immunoreactivity in regions with neurodegeneration. Differences in aDMA were also noted by clinical phenotype. FTLD-MND had the highest burden of poly-GR pathology compared to FTLD and MND, while FTLD-MND had higher burden of aDMA than FTLD. The results suggest that poly-GR pathology is associated with toxicity and neurodegeneration. It remains to be determined if dimethylarginine modification of poly-GR could contribute to its toxicity.
Collapse
Affiliation(s)
- Nobutaka Sakae
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Kevin F Bieniek
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Yong-Jie Zhang
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Kelly Ross
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Tania F Gendron
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Melissa E Murray
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Rosa Rademakers
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Leonard Petrucelli
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
| | - Dennis W Dickson
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA.
| |
Collapse
|
40
|
Sebastian R, Thompson CB, Wang NY, Wright A, Meyer A, Friedman RB, Hillis AE, Tippett DC. Patterns of Decline in Naming and Semantic Knowledge in Primary Progressive Aphasia. APHASIOLOGY 2018; 32:1010-1030. [PMID: 30613121 PMCID: PMC6317736 DOI: 10.1080/02687038.2018.1490388] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
BACKGROUND Individuals with primary progressive aphasia (PPA) and their caregivers want to know what to expect so that they can plan support appropriately. The ability to predict decline in naming and semantic knowledge, and advise individuals with PPA and their caregivers regarding future planning, would be invaluable clinically. AIMS The aims of this study were to investigate patterns of decline in naming and semantic knowledge in each of the clinical variants of PPA (logopenic variant PPA, lvPPA; nonfluent agrammatic PPA, nfaPPA; and semantic variant PPA, svPPA) and to examine the effects of other variables on rate of decline. We hypothesized that speech-language rehabilitation, higher education, and higher baseline test scores would be associated with slower decline, and older age with faster decline. METHODS AND PROCEDURES A total of ninety-four participants with PPA underwent language testing, including thirty six participants with lvPPA, thirty-one participants with nfaPPA, and twenty-seven participants with svPPA. All participant groups were similar in age and education. We focused on decline on three tests: the short form of the Boston Naming Test (BNT), the Hopkins Assessment of Naming Actions (HANA), and the short form of the Pyramids and Palm Trees Test (PPTT). OUTCOME AND RESULTS Across language tests, the most precipitous rates of decline (loss of points per month) occurred in nfaPPA, followed by svPPA, then lvPPA. Female sex, longer symptom duration, higher baseline test score, and speech-language rehabilitation were associated with slower decline. CONCLUSIONS PPA variants were distinguishable by rapidity of decline, with nfaPPA having the most precipitous decline. As hypothesized, higher baseline test scores and speech-language rehabilitation were associated with slower decline. Surprisingly, age and education were not important prognostically for individuals in this study. Further study of prognostically-relevant variables in PPA is indicated in this population.
Collapse
Affiliation(s)
- Rajani Sebastian
- Department of Neurology, Johns Hopkins University School of Medicine, Phipps 446, 600 N. Wolfe Street, Baltimore, Maryland 21287 USA; Telephone (410) 614-2381; , , ,
| | - Carol B Thompson
- Johns Hopkins Biostatistics Center, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, E-3142, Baltimore, Maryland 21205-2179 USA; Telephone (410) 502-9142;
| | - Nae-Yuh Wang
- Johns Hopkins Biostatistics Center, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, E-3142, Baltimore, Maryland 21205-2179 USA; Telephone (410) 502-9142;
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA 21287
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205-2179 USA
- Welch Center for Prevention, Epidemiology & Clinical Research, Johns Hopkins Bloomberg School of Public Health, 2024 E. Monument Street, Suite 2-500, Baltimore, Maryland 21205-2179 USA; Telephone (410) 614-3994;
| | - Amy Wright
- Department of Neurology, Johns Hopkins University School of Medicine, Phipps 446, 600 N. Wolfe Street, Baltimore, Maryland 21287 USA; Telephone (410) 614-2381; , , ,
| | - Aaron Meyer
- Cognitive Neuropsychology Lab, Center for Aphasia Research and Rehabilitation, Georgetown University Medical Center, Building D, Suite 207, 4000 Reservoir Road, Washington, DC 20057 USA; Telephone (202) 687-4196; ,
| | - Rhonda B Friedman
- Cognitive Neuropsychology Lab, Center for Aphasia Research and Rehabilitation, Georgetown University Medical Center, Building D, Suite 207, 4000 Reservoir Road, Washington, DC 20057 USA; Telephone (202) 687-4196; ,
| | - Argye E Hillis
- Department of Neurology, Johns Hopkins University School of Medicine, Phipps 446, 600 N. Wolfe Street, Baltimore, Maryland 21287 USA; Telephone (410) 614-2381; , , ,
- Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Cognitive Science, Johns Hopkins University, Baltimore, Maryland, USA
| | - Donna C Tippett
- Department of Neurology, Johns Hopkins University School of Medicine, Phipps 446, 600 N. Wolfe Street, Baltimore, Maryland 21287 USA; Telephone (410) 614-2381; , , ,
- Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| |
Collapse
|
41
|
Josephs KA, Martin PR, Botha H, Schwarz CG, Duffy JR, Clark HM, Machulda MM, Graff-Radford J, Weigand SD, Senjem ML, Utianski RL, Drubach DA, Boeve BF, Jones DT, Knopman DS, Petersen RC, Jack CR, Lowe VJ, Whitwell JL. [ 18 F]AV-1451 tau-PET and primary progressive aphasia. Ann Neurol 2018; 83:599-611. [PMID: 29451323 PMCID: PMC5896771 DOI: 10.1002/ana.25183] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Revised: 02/12/2018] [Accepted: 02/13/2018] [Indexed: 12/14/2022]
Abstract
OBJECTIVES To assess [18 F]AV-1451 tau-PET (positron emission tomography) uptake patterns across the primary progressive aphasia (PPA) variants (logopenic, semantic, and agrammatic), examine regional uptake patterns of [18 F]AV-1451 independent of clinical diagnosis, and compare the diagnostic utility of [18 F]AV-1451, [18 F]-fluorodeoxygluclose (FDG)-PET and MRI (magnetic resonance imaging) to differentiate the PPA variants. METHODS We performed statistical parametric mapping of [18 F]AV-1451 across 40 PPA patients (logopenic-PPA = 14, semantic-PPA = 13, and agrammatic-PPA = 13) compared to 80 cognitively normal, Pittsburgh compound B-negative controls, age and gender matched 2:1. Principal component analysis of regional [18 F]AV-1451 tau-PET standard uptake value ratio was performed to understand underlying patterns of [18 F]AV-1451 uptake independent of clinical diagnosis. Penalized multinomial regression analyses were utilized to assess diagnostic utility. RESULTS Logopenic-PPA showed striking uptake throughout neocortex, particularly temporoparietal, compared to controls, semantic-PPA, and agrammatic-PPA. Semantic-PPA and agrammatic-PPA showed milder patterns of focal [18 F]AV-1451 uptake. Semantic-PPA showed elevated uptake (left>right) in anteromedial temporal lobes, compared to controls and agrammatic-PPA. Agrammatic-PPA showed elevated uptake (left>right) throughout prefrontal white matter and in subcortical gray matter structures, compared to controls and semantic-PPA. The principal component analysis of regional [18 F]AV-1451 indicated two primary dimensions, a severity dimension that distinguished logopenic-PPA from agrammatic-PPA and semantic-PPA, and a frontal versus temporal contrast that distinguishes agrammatic-PPA and semantic-PPA cases. Diagnostic utility of [18 F]AV-1451was superior to MRI and at least equal to FDG-PET. INTERPRETATION [18 F]AV-1451binding characteristics differ across the PPA variants and were excellent at distinguishing between the variants. [18 F]AV-1451binding characteristics were as good or better than other brain imaging modalities utilized in clinical practice, suggesting that [18 F]AV-1451 may have clinical diagnostic utility in PPA. Ann Neurol 2018 Ann Neurol 2018;83:599-611.
Collapse
Affiliation(s)
- Keith A. Josephs
- Department of Neurology (Behavioral Neurology), Mayo Clinic, Rochester, Minnesota, U.S.A
| | - Peter R. Martin
- Department of Health Science Research (Biostatistics), Mayo Clinic, Rochester, Minnesota, U.S.A
| | - Hugo Botha
- Department of Neurology (Behavioral Neurology), Mayo Clinic, Rochester, Minnesota, U.S.A
| | | | - Joseph R. Duffy
- Department of Neurology (Speech pathology), Mayo Clinic, Rochester, Minnesota, U.S.A
| | - Heather M. Clark
- Department of Neurology (Speech pathology), Mayo Clinic, Rochester, Minnesota, U.S.A
| | - Mary M. Machulda
- Department of Psychiatry (Neuropsychology), Mayo Clinic, Rochester, Minnesota, U.S.A
| | - Jonathan Graff-Radford
- Department of Neurology (Behavioral Neurology), Mayo Clinic, Rochester, Minnesota, U.S.A
| | - Stephen D. Weigand
- Department of Health Science Research (Biostatistics), Mayo Clinic, Rochester, Minnesota, U.S.A
| | - Matthew L. Senjem
- Department of Information Technology, Mayo Clinic, Rochester, Minnesota, U.S.A
- Department of Radiology (Neuroradiology), Mayo Clinic, Rochester, Minnesota, U.S.A
| | - Rene L. Utianski
- Department of Neurology (Speech pathology), Mayo Clinic, Rochester, Minnesota, U.S.A
| | - Daniel A. Drubach
- Department of Neurology (Behavioral Neurology), Mayo Clinic, Rochester, Minnesota, U.S.A
| | - Bradley F. Boeve
- Department of Neurology (Behavioral Neurology), Mayo Clinic, Rochester, Minnesota, U.S.A
| | - David T. Jones
- Department of Neurology (Behavioral Neurology), Mayo Clinic, Rochester, Minnesota, U.S.A
| | - David S. Knopman
- Department of Neurology (Behavioral Neurology), Mayo Clinic, Rochester, Minnesota, U.S.A
| | - Ronald C. Petersen
- Department of Neurology (Behavioral Neurology), Mayo Clinic, Rochester, Minnesota, U.S.A
| | - Clifford R. Jack
- Department of Radiology (Neuroradiology), Mayo Clinic, Rochester, Minnesota, U.S.A
| | - Val J. Lowe
- Department of Radiology (Nuclear Medicine), Mayo Clinic, Rochester, Minnesota, U.S.A
| | - Jennifer L. Whitwell
- Department of Radiology (Neuroradiology), Mayo Clinic, Rochester, Minnesota, U.S.A
| |
Collapse
|
42
|
Rivero-Santana A, Ferreira D, Perestelo-Pérez L, Westman E, Wahlund LO, Sarría A, Serrano-Aguilar P. Cerebrospinal Fluid Biomarkers for the Differential Diagnosis between Alzheimer's Disease and Frontotemporal Lobar Degeneration: Systematic Review, HSROC Analysis, and Confounding Factors. J Alzheimers Dis 2018; 55:625-644. [PMID: 27716663 DOI: 10.3233/jad-160366] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Differential diagnosis in dementia is at present one of the main challenges both in clinical practice and research. Cerebrospinal fluid (CSF) biomarkers are included in the current diagnostic criteria of Alzheimer's disease (AD) but their clinical utility is still unclear. OBJECTIVE We performed a systematic review of studies analyzing the diagnostic performance of CSF Aβ42, total tau (t-tau), and phosphorylated tau (p-tau) in the discrimination between AD and frontotemporal lobar degeneration (FTLD) dementias. METHODS The following electronic databases were consulted until May 2016: Medline and PreMedline, EMBASE, PsycInfo, CINAHL, Cochrane Library, and CRD. For the first-time in the field, a Hierarchical Summary Receiver Operating Characteristic (HRSOC) model was applied, which avoids methodological problems of meta-analyses based on summary points of sensitivity and specificity values. We also investigated relevant confounders of CSF biomarkers' diagnostic performance such as age, disease duration, and global cognitive impairment. RESULTS The p-tau/Aβ42 ratio showed the best diagnostic performance. No statistically significant effects of the confounders were observed. Nonetheless, the p-tau/Aβ42 ratio may be especially indicated for younger patients. P-tau may be preferable for less cognitively impaired patients (high MMSE scores) and the t-tau/Aβ42 ratio for more cognitively impaired patients (low MMSE scores). CONCLUSION The p-tau/Aβ42 ratio has potential for being implemented in the clinical routine for the differential diagnosis between AD and FTLD. It is of utmost importance that future studies report information on confounders such as age, disease duration, and cognitive impairment, which should also stimulate understanding of the role of these factors in disease mechanisms and pathophysiology.
Collapse
Affiliation(s)
- Amado Rivero-Santana
- Canarian Foundation for Health Research (FUNCANIS), Tenerife, Spain.,Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Tenerife, Spain.,Center for Biomedical Research of the Canary Islands (CIBICAN), Tenerife, Spain
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Lilisbeth Perestelo-Pérez
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Tenerife, Spain.,Center for Biomedical Research of the Canary Islands (CIBICAN), Tenerife, Spain.,Evaluation Unit of the Canary Islands Health Service (SESCS), Tenerife, Spain
| | - Eric Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Lars-Olof Wahlund
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Antonio Sarría
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Tenerife, Spain.,Agency for Health Technology Assessment (AETS), Institute of Health Carlos III, Madrid, Spain
| | - Pedro Serrano-Aguilar
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Tenerife, Spain.,Center for Biomedical Research of the Canary Islands (CIBICAN), Tenerife, Spain.,Evaluation Unit of the Canary Islands Health Service (SESCS), Tenerife, Spain
| |
Collapse
|
43
|
Cho H, Seo SW, Choi JY, Lee HS, Ryu YH, Lee MS, Na DL, Kim HJ, Lyoo CH. Predominant subcortical accumulation of 18F-flortaucipir binding in behavioral variant frontotemporal dementia. Neurobiol Aging 2018; 66:112-121. [PMID: 29554554 DOI: 10.1016/j.neurobiolaging.2018.02.015] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Revised: 02/13/2018] [Accepted: 02/15/2018] [Indexed: 11/28/2022]
Abstract
Behavioral variant frontotemporal dementia (bvFTD) is the most common form of frontotemporal dementia, and tau pathology can be found in 40%-50% of bvFTD patients. In this study, we sought to investigate 18F-flortaucipir-binding patterns and their correlates in clinically diagnosed bvFTD patients by comparing with results for Alzheimer's disease (AD) patients. We enrolled 20 bvFTD, 20 AD, and 20 age-matched healthy subjects who underwent neuropsychological tests, magnetic resonance imaging, and tau positron emission tomography scans with 18F-flortaucipir. Regional standardized uptake value ratios for the cerebral cortex and underlying white matter were compared between the 2 groups. The bvFTD patients showed increased 18F-flortaucipir binding in the putamen and globus pallidus when compared to the healthy controls. In addition, bvFTD was associated with increased binding in the white matter regions underlying the frontal, anterior cingulate, and insula cortices. The bvFTD patients may exhibit predominantly subcortical 18F-flortaucipir-binding pattern that is distinct from the patterns seen in AD patients. We hypothesize that the clinical characteristics of bvFTD patients may be attributable to the dysfunctional frontal-subcortical networks. However, concerns remain regarding unknown "off-target" binding in the white matter and the basal ganglia.
Collapse
Affiliation(s)
- Hanna Cho
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sang Won Seo
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jae Yong Choi
- Department of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea; Division of RI-Convergence Research, Korea Institute Radiological and Medical Sciences, Seoul, South Korea
| | - Hye Sun Lee
- Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, South Korea
| | - Young Hoon Ryu
- Department of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Myung Sik Lee
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Duk L Na
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hee Jin Kim
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
| | - Chul Hyoung Lyoo
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
| |
Collapse
|
44
|
Fogarty MJ, Mu EWH, Lavidis NA, Noakes PG, Bellingham MC. Motor Areas Show Altered Dendritic Structure in an Amyotrophic Lateral Sclerosis Mouse Model. Front Neurosci 2017; 11:609. [PMID: 29163013 PMCID: PMC5672020 DOI: 10.3389/fnins.2017.00609] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Accepted: 10/18/2017] [Indexed: 12/11/2022] Open
Abstract
Objective: Motor neurons (MNs) die in amyotrophic lateral sclerosis (ALS), a clinically heterogeneous neurodegenerative disease of unknown etiology. In human or rodent studies, MN loss is preceded by increased excitability. As increased neuronal excitability correlates with structural changes in dendritic arbors and spines, we have examined longitudinal changes in dendritic structure in vulnerable neuron populations in a mouse model of familial ALS. Methods: We used a modified Golgi-Cox staining method to determine the progressive changes in dendritic structure of hippocampal CA1 pyramidal neurons, striatal medium spiny neurons, and resistant (trochlear, IV) or susceptible (hypoglossal, XII; lumbar) MNs from brainstem and spinal cord of mice over-expressing the human SOD1G93A (SOD1) mutation, in comparison to wild-type (WT) mice, at four postnatal (P) ages of 8–15, 28–35, 65–75, and 120 days. Results: In SOD1 mice, dendritic changes occur at pre-symptomatic ages in both XII and spinal cord lumbar MNs. Spine loss without dendritic changes was present in striatal neurons from disease onset. Spine density increases were present at all ages studied in SOD1 XII MNs. Spine density increased in neonatal lumbar MNs, before decreasing to control levels by P28-35 and was decreased by P120. SOD1 XII MNs and lumbar MNs, but not trochlear MNs showed vacuolization from the same time-points. Trochlear MN dendrites were unchanged. Interpretation: Dendritic structure and spine alterations correlate with the neuro-motor phenotype in ALS and with cognitive and extra-motor symptoms seen in patients. Prominent early changes in dendritic arbors and spines occur in susceptible cranial and spinal cord MNs, but are absent in MNs resistant to loss in ALS.
Collapse
Affiliation(s)
- Matthew J Fogarty
- Faculty of Medicine, School of Biomedical Sciences, University of Queensland, St Lucia, QLD, Australia
| | - Erica W H Mu
- Faculty of Medicine, School of Biomedical Sciences, University of Queensland, St Lucia, QLD, Australia
| | - Nickolas A Lavidis
- Faculty of Medicine, School of Biomedical Sciences, University of Queensland, St Lucia, QLD, Australia
| | - Peter G Noakes
- Faculty of Medicine, School of Biomedical Sciences, University of Queensland, St Lucia, QLD, Australia.,Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
| | - Mark C Bellingham
- Faculty of Medicine, School of Biomedical Sciences, University of Queensland, St Lucia, QLD, Australia
| |
Collapse
|
45
|
Mishima T, Koga S, Lin WL, Kasanuki K, Castanedes-Casey M, Wszolek ZK, Oh SJ, Tsuboi Y, Dickson DW. Perry Syndrome: A Distinctive Type of TDP-43 Proteinopathy. J Neuropathol Exp Neurol 2017; 76:676-682. [PMID: 28789478 DOI: 10.1093/jnen/nlx049] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Perry syndrome is a rare atypical parkinsonism with depression, apathy, weight loss, and central hypoventilation caused by mutations in dynactin p150glued (DCTN1). A rare distal hereditary motor neuropathy, HMN7B, also has mutations in DCTN1. Perry syndrome has TAR DNA-binding protein of 43 kDa (TDP-43) inclusions as a defining feature. Other TDP-43 proteinopathies include amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD) with and without motor neuron disease (FTLD-MND). TDP-43 forms aggregates in neuronal cytoplasmic inclusions (NCIs), neuronal intranuclear inclusions, dystrophic neurites (DNs), as well as axonal spheroids, oligodendroglial cytoplasmic inclusions, and perivascular astrocytic inclusions (PVIs). We performed semiquantitative assessment of these lesions and presence of dynactin subunit p50 lesions in 3 cases of Perry syndrome and one of HMN7B. We compared them with 3 cases of FTLD-MND, 3 of ALS, and 3 of hippocampal sclerosis (HpScl). Perry syndrome had NCIs, DNs, and frequent PVIs and spheroids. Perry syndrome cases were similar, but different from ALS, FTLD-MND, and HpScl. TDP-43 pathology was not detected in HMN7B. Dynactin p50 inclusions were observed in both Perry syndrome and HMN7B, but not in the other conditions. These results suggest that Perry syndrome may be distinctive type of TDP-43 proteinopathy.
Collapse
Affiliation(s)
- Takayasu Mishima
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida (TM, SK, W-LL, KK, MC-C, DWD); Department of Neurology, Fukuoka University, Fukuoka, Japan (TM, YT); Department of Neurology, Mayo Clinic, Jacksonville, Florida (ZKW); and Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama (SJO)
| | - Shunsuke Koga
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida (TM, SK, W-LL, KK, MC-C, DWD); Department of Neurology, Fukuoka University, Fukuoka, Japan (TM, YT); Department of Neurology, Mayo Clinic, Jacksonville, Florida (ZKW); and Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama (SJO)
| | - Wen-Lang Lin
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida (TM, SK, W-LL, KK, MC-C, DWD); Department of Neurology, Fukuoka University, Fukuoka, Japan (TM, YT); Department of Neurology, Mayo Clinic, Jacksonville, Florida (ZKW); and Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama (SJO)
| | - Koji Kasanuki
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida (TM, SK, W-LL, KK, MC-C, DWD); Department of Neurology, Fukuoka University, Fukuoka, Japan (TM, YT); Department of Neurology, Mayo Clinic, Jacksonville, Florida (ZKW); and Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama (SJO)
| | - Monica Castanedes-Casey
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida (TM, SK, W-LL, KK, MC-C, DWD); Department of Neurology, Fukuoka University, Fukuoka, Japan (TM, YT); Department of Neurology, Mayo Clinic, Jacksonville, Florida (ZKW); and Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama (SJO)
| | - Zbigniew K Wszolek
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida (TM, SK, W-LL, KK, MC-C, DWD); Department of Neurology, Fukuoka University, Fukuoka, Japan (TM, YT); Department of Neurology, Mayo Clinic, Jacksonville, Florida (ZKW); and Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama (SJO)
| | - Shin J Oh
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida (TM, SK, W-LL, KK, MC-C, DWD); Department of Neurology, Fukuoka University, Fukuoka, Japan (TM, YT); Department of Neurology, Mayo Clinic, Jacksonville, Florida (ZKW); and Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama (SJO)
| | - Yoshio Tsuboi
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida (TM, SK, W-LL, KK, MC-C, DWD); Department of Neurology, Fukuoka University, Fukuoka, Japan (TM, YT); Department of Neurology, Mayo Clinic, Jacksonville, Florida (ZKW); and Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama (SJO)
| | - Dennis W Dickson
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida (TM, SK, W-LL, KK, MC-C, DWD); Department of Neurology, Fukuoka University, Fukuoka, Japan (TM, YT); Department of Neurology, Mayo Clinic, Jacksonville, Florida (ZKW); and Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama (SJO)
| |
Collapse
|
46
|
Tippett DC, Thompson CB, Demsky C, Sebastian R, Wright A, Hillis AE. Differentiating between subtypes of primary progressive aphasia and mild cognitive impairment on a modified version of the Frontal Behavioral Inventory. PLoS One 2017; 12:e0183212. [PMID: 28813486 PMCID: PMC5559070 DOI: 10.1371/journal.pone.0183212] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Accepted: 08/01/2017] [Indexed: 11/19/2022] Open
Abstract
Behavioral assessment has been investigated in frontotemporal lobar degeneration and Alzheimer's disease, but has not been explored extensively in subtypes of primary progressive aphasia (PPA). We explored the ability of a modified version of the Frontal Behavioral Inventory (FBI-mod) to discriminate between patients with distinct subtypes of PPA and patients with mild cognitive impairment (MCI). We hypothesized that individuals with nonfluent agrammatic PPA (nfaPPA) would have higher negative behavior scores than other groups and that individuals with semantic variant PPA (svPPA) would have higher disinhibition scores than other groups. Family members and/or caregivers of 120 individuals with PPA and MCI (mean age 69.54+8.75 years; 65 (54%) female; education 16.06±2.68 years; disease duration 46.47±34.26 months) completed the FBI-mod [logopenic PPA (lvPPA) n = 40. nfaPPA n = 29, svPPA n = 27, MCI n = 24]. The groups were not significantly different in age, gender, education, or disease duration. There were no significant differences between the groups for negative behaviors (p = 0.72) and disinhibition scores (p = 0.14). When comparing negative and disinhibition scores (in percent), negative scores were significantly higher in all groups (p < 0.001). When comparing subtest items, there was a pairwise difference between lvPPA and svPPA for restlessness (lvPPA < svPPA, p = 0.02, after adjusting for multiple between-group comparisons). There was a significant difference in the proportion of severe neglect between the groups with lvPPA having a lower proportion than the other two variants (p = 0.05), and there was a significant difference in the proportion of severe poor judgment between the groups with lvPPA also having a lower proportion than nfaPPA (p = 0.04). This study reveals the greater negative behavioral disturbance than disinhibition in the PPA and MCI groups of similar age and duration since onset and identifies different profiles for some specific behaviors for the PPA groups. These findings may have clinical and practical implications.
Collapse
Affiliation(s)
- Donna C. Tippett
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Otolaryngology—Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- * E-mail:
| | - Carol B. Thompson
- Johns Hopkins Biostatistics Center, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Cornelia Demsky
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Rajani Sebastian
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Amy Wright
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Argye E. Hillis
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Cognitive Science, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, Maryland, United States of America
| |
Collapse
|
47
|
Lee EB, Porta S, Michael Baer G, Xu Y, Suh E, Kwong LK, Elman L, Grossman M, Lee VMY, Irwin DJ, Van Deerlin VM, Trojanowski JQ. Expansion of the classification of FTLD-TDP: distinct pathology associated with rapidly progressive frontotemporal degeneration. Acta Neuropathol 2017; 134:65-78. [PMID: 28130640 DOI: 10.1007/s00401-017-1679-9] [Citation(s) in RCA: 175] [Impact Index Per Article: 21.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Revised: 01/16/2017] [Accepted: 01/19/2017] [Indexed: 12/12/2022]
Abstract
Frontotemporal lobar degeneration with TDP-43 inclusions (FTLD-TDP) can typically be categorized into one of four distinct histopathologic patterns of TDP-43 pathology, types A to D. The strength of this histopathologic classification lies in the association between FTLD-TDP subtypes and various clinical and genetic features of disease. Seven cases of FTLD-TDP were identified here which were difficult to classify based on existing pathologic criteria. Distinct features common to these cases included TDP-43 aggregates over a wide neuroanatomic distribution comprised of granulofilamentous neuronal inclusions, abundant grains, and oligodendroglial inclusions. TDP-43 aggregates were phosphorylated and associated with loss of normal nuclear TDP-43 protein (nuclear clearance) but were negative for ubiquitin. Biochemical analysis confirmed the presence of insoluble and phosphorylated TDP-43 and also revealed a distinct pattern of TDP-43 C-terminal fragments relative to other FTLD-TDP subtypes. Finally, these cases were uniformly associated with a very rapid clinical course culminating in death within ~3 years of disease onset. We suggest that these cases may represent a unique clinicopathologic subtype of FTLD-TDP which we provisionally call "type E." The immature appearance of TDP-43 aggregates, widespread distribution, uniform biochemical profile and rapid clinical course highlights the clinical and pathologic variability within FTLD-TDP, and raises the possibility that type E neuropathology is the sequelae of a particularly virulent strain of TDP-43 proteinopathy.
Collapse
Affiliation(s)
- Edward B Lee
- Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, 613A Stellar Chance Laboratories, 422 Curie Blvd, Philadelphia, PA, 19104, USA.
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Sílvia Porta
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - G Michael Baer
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Yan Xu
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - EunRan Suh
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Linda K Kwong
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Lauren Elman
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Murray Grossman
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Virginia M-Y Lee
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David J Irwin
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Vivianna M Van Deerlin
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
48
|
Reappraisal of TDP-43 pathology in FTLD-U subtypes. Acta Neuropathol 2017; 134:79-96. [PMID: 28466142 DOI: 10.1007/s00401-017-1716-8] [Citation(s) in RCA: 81] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Revised: 04/21/2017] [Accepted: 04/21/2017] [Indexed: 12/13/2022]
Abstract
Frontotemporal lobar degeneration with tau-negative, ubiquitin-immunoreactive (-ir) pathology (FTLD-U) is subclassified based on the type and cortical laminar distribution of neuronal inclusions. Following the discovery of the transactive response DNA-binding protein Mr 43 kD (TDP-43) as the ubiquitinated protein in most FTLD-U, the same pathological criteria have been used to classify FTLD cases based on TDP-43-ir changes. However, the fact that immunohistochemistry (IHC) for ubiquitin and TDP-43 each recognizes slightly different pathological changes in these cases means that the original FTLD-U subtype criteria may not be directly applicable for use with TDP-43 IHC. We formally re-evaluated the TDP-43-ir pathological features that characterize the different FTLD-U subtypes to see if the current classification could be refined. In our series of 78 cases, 81% were classified as one of the common FTLD-U subtypes (29% A, 35% B, 17% C). With TDP-43 IHC, each subtype demonstrated consistent intra-group pathological features and clear inter-group differences. The TDP-43-ir changes that characterized type A and C cases were similar to those seen with ubiquitin IHC; specifically, compact neuronal cytoplasmic inclusions (NCI), short thick dystrophic neurites (DN), and lentiform neuronal intranuclear inclusions concentrated in cortical layer II in type A cases, and a predominance of long thick DN in type C. However, type B cases showed significant differences with TDP-43 compared with ubiquitin IHC; with many diffuse granular NCI and wispy thread and dots-like profiles in all cortical layers. The remaining 15 cases (12 with C9orf72 mutations) showed changes that were consistent with combined type A and type B pathology. These findings suggest that the pathological criteria for subtyping FTLD cases based on TDP-43 IHC might benefit from some refinement that recognizes differences in the morphologies of NCI and neurites. Furthermore, there is a significant subset of cases (most with the C9orf72 mutation) with the pathological features of multiple FTLD-TDP subtypes for which appropriate classification is difficult.
Collapse
|
49
|
Josephs KA, Murray ME, Tosakulwong N, Whitwell JL, Knopman DS, Machulda MM, Weigand SD, Boeve BF, Kantarci K, Petrucelli L, Lowe VJ, Jack CR, Petersen RC, Parisi JE, Dickson DW. Tau aggregation influences cognition and hippocampal atrophy in the absence of beta-amyloid: a clinico-imaging-pathological study of primary age-related tauopathy (PART). Acta Neuropathol 2017; 133:705-715. [PMID: 28160067 DOI: 10.1007/s00401-017-1681-2] [Citation(s) in RCA: 128] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Revised: 01/20/2017] [Accepted: 01/22/2017] [Indexed: 12/13/2022]
Abstract
We investigate whether there is any association between the Braak neurofibrillary tangle (NFT) stage and clinical and MRI features in definite primary age-related tauopathy (PART). We analysed 52 cases with a Braak NFT tangle stage >0 and ≤IV, and a Thal phase of 0 (no beta-amyloid present). Twenty-nine (56%) were female. Median age at death was 88 years (IQR 82-92 years). Fifteen (29%) were TDP-positive (75% TDP stage I), 16 (31%) had argyrophilic grain disease and three (6%) had alpha-synuclein-positive Lewy bodies. TDP-43 inclusion when present were rare and predominantly perivascular. Of the 15 with TDP-43, three showed a moderate number of inclusions and also had hippocampal sclerosis, neuronal intranuclear inclusions and fine neurites of the CA1 region of the hippocampus. Four cases (8%) had an apolipoprotein epsilon 4 (APOE4) allele. There was a significant correlation between age at death and Braak NFT stage (r = 0.32, p = 0.02). After accounting for age at clinical examination, there were significant associations between Braak NFT stage, and WAIS-R Block Design and Trail Making Tests A and B, with higher Braak stage associated with poorer performances. Thirty of the 52 cases had completed an antemortem volumetric head MRI. Two separate MRI analyses revealed an association between higher Braak NFT stage and grey matter atrophy in the head of the left hippocampus. There were no significant clinical or radiologic associations with TDP-43. Findings from this study demonstrate that aggregated tau distribution is associated with poorer cognitive performance, as well as atrophy, in the absence of beta-amyloid. These findings support the parcellation of definite PART as a useful construct. The relatively low frequencies of APOE4, TDP-43, Lewy bodies, and hippocampal sclerosis, and the rarity and morphology of TDP-43 lesions are noted contrasts to what is typically observed in Alzheimer's disease of the old.
Collapse
Affiliation(s)
- Keith A Josephs
- Behavioral Neurology, Department of Neurology, Mayo Clinic, Rochester, MN, USA.
- Movement Disorders, Department of Neurology, Mayo Clinic, College of Medicine, Rochester, MN, USA.
| | | | - Nirubol Tosakulwong
- Biostatistics, Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
| | - Jennifer L Whitwell
- Radiology Research, Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - David S Knopman
- Behavioral Neurology, Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Stephen D Weigand
- Biostatistics, Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
| | - Bradley F Boeve
- Behavioral Neurology, Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Kejal Kantarci
- Radiology Research, Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | - Val J Lowe
- Radiology Research, Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Clifford R Jack
- Radiology Research, Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Ronald C Petersen
- Behavioral Neurology, Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Joseph E Parisi
- Neuropathology, Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | | |
Collapse
|
50
|
Cholinergic depletion and basal forebrain volume in primary progressive aphasia. NEUROIMAGE-CLINICAL 2016; 13:271-279. [PMID: 28018854 PMCID: PMC5176031 DOI: 10.1016/j.nicl.2016.11.027] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2016] [Revised: 10/21/2016] [Accepted: 11/26/2016] [Indexed: 12/30/2022]
Abstract
Primary progressive aphasia (PPA) is a heterogeneous syndrome with various neuropathological causes for which no medical treatment with proven efficacy exists. Basal forebrain (BF) volume loss has been reported in PPA but its relation to cholinergic depletion is still unclear. The primary objective of this study was to investigate whether cholinergic alterations occur in PPA variants and how this relates to BF volume loss. An academic memory clinic based consecutive series of 11 PPA patients (five with the semantic variant (SV), four with the logopenic variant (LV) and two with the nonfluent variant (NFV)) participated in this cross-sectional in vivo PET imaging study together with 10 healthy control subjects. Acetylcholinesterase (AChE) activity was quantitatively measured in the neo- and allocortex using N-[11C]-Methylpiperidin-4-yl propionate (PMP)-PET with arterial sampling and metabolite correction. Whole brain and BF volumes were quantified using voxel-based morphometry on high-resolution magnetic resonance imaging (MRI) scans. In the PPA group, only LV cases showed decreases in AChE activity levels compared to controls. Surprisingly, a substantial number of SV cases showed significant AChE activity increases compared to controls. BF volume did not correlate with AChE activity levels in PPA. To conclude, in our sample of PPA patients, LV but not SV was associated with cholinergic depletion. BF atrophy in PPA does not imply cholinergic depletion. Using PET we examined cholinesterase activity in PPA. Cholinergic depletion occurred in the logopenic variant. Basal forebrain atrophy mainly occurred in the semantic variant. Cholinergic depletion did not correlate with basal forebrain atrophy. Unexpectedly, semantic variant was associated with cholinergic activity increases.
Collapse
|