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Zheng X, Wang M, He Q, Chen S, Simayi D, Ma X, Zhao J, Sun X, Yang P, Mao Q, Xia H. Production and characterization of novel monoclonal antibodies against pathological human TDP-43 proteins. J Neuropathol Exp Neurol 2024; 83:655-669. [PMID: 38728009 PMCID: PMC11258413 DOI: 10.1093/jnen/nlae042] [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: 07/20/2024] Open
Abstract
The RNA/DNA-binding protein TDP-43 plays a pivotal role in the ubiquitinated inclusions characteristic of TDP-43 proteinopathies, including most cases of frontotemporal lobar degeneration (FTLD-TDP) and Alzheimer disease (AD). To understand the mechanisms of pathological TDP-43 processing and identify potential biomarkers, we generated novel phosphorylation-independent monoclonal antibodies (MAbs) using bacteria-expressed human full-length recombinant TDP-43. Remarkably, we identified a distinctive MAb, No. 9, targeting an epitope in amino acid (aa) region 311-360 of the C-terminus. This antibody showed preferential reactivity for pathological TDP-43 inclusions, with only mild reactivity for normal nuclear TDP-43. MAb No. 9 revealed more pathology in FTLD-TDP type A and type B brains and in AD brains compared to the commercial p409/410 MAb. Using synthetic phosphorylated peptides, we also obtained MAbs targeting the p409/410 epitope. Interestingly, MAb No. 14 was found to reveal additional pathology in AD compared to the commercial p409/410 MAb, specifically, TDP-43-immunopositive deposits with amyloid plaques in AD brains. These unique immunopositivities observed with MAbs No. 9 and No. 14 are likely attributed to their conformation-dependent binding to TDP-43 inclusions. We expect that this novel set of MAbs will prove valuable as tools for future patient-oriented investigations into TDP-43 proteinopathies.
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Affiliation(s)
- Xiaojing Zheng
- Laboratory of Gene Therapy, Department of Biochemistry, College of Life Sciences, Shaanxi Normal University, Shaanxi, P.R. China
| | - Mengtian Wang
- Laboratory of Gene Therapy, Department of Biochemistry, College of Life Sciences, Shaanxi Normal University, Shaanxi, P.R. China
| | - Qiongyan He
- Laboratory of Gene Therapy, Department of Biochemistry, College of Life Sciences, Shaanxi Normal University, Shaanxi, P.R. China
| | - Shuyu Chen
- Laboratory of Gene Therapy, Department of Biochemistry, College of Life Sciences, Shaanxi Normal University, Shaanxi, P.R. China
| | - Dilihumaer Simayi
- Laboratory of Gene Therapy, Department of Biochemistry, College of Life Sciences, Shaanxi Normal University, Shaanxi, P.R. China
| | - Xia Ma
- Laboratory of Gene Therapy, Department of Biochemistry, College of Life Sciences, Shaanxi Normal University, Shaanxi, P.R. China
| | - Junli Zhao
- Laboratory of Gene Therapy, Department of Biochemistry, College of Life Sciences, Shaanxi Normal University, Shaanxi, P.R. China
| | - Xiaohong Sun
- Laboratory of Gene Therapy, Department of Biochemistry, College of Life Sciences, Shaanxi Normal University, Shaanxi, P.R. China
| | - Peiyan Yang
- Laboratory of Gene Therapy, Department of Biochemistry, College of Life Sciences, Shaanxi Normal University, Shaanxi, P.R. China
| | - Qinwen Mao
- Department of Pathology, University of Utah, Salt Lake City, Utah, USA
| | - Haibin Xia
- Laboratory of Gene Therapy, Department of Biochemistry, College of Life Sciences, Shaanxi Normal University, Shaanxi, P.R. China
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Tomé SO, Gawor K, Thal DR. LATE-NC in Alzheimer's disease: Molecular aspects and synergies. Brain Pathol 2024; 34:e13213. [PMID: 37793659 PMCID: PMC11189776 DOI: 10.1111/bpa.13213] [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: 08/25/2023] [Accepted: 09/01/2023] [Indexed: 10/06/2023] Open
Abstract
Alzheimer's disease (AD) is classically characterized by senile plaques and neurofibrillary tangles (NFTs). However, multiple copathologies can be observed in the AD brain and contribute to the development of cognitive decline. Limbic-predominant age-related TDP-43 encephalopathy neuropathological changes (LATE-NC) accumulates in the majority of AD cases and leads to more severe cognitive decline compared with AD pathology alone. In this review, we focus on the synergistic relationship between LATE-NC and tau in AD, highlighting the aggravating role of TDP-43 aggregates on tau pathogenesis and its impact on the clinical picture and therapeutic strategies. Additionally, we discuss to what extent the molecular patterns of LATE-NC in AD differ from frontotemporal lobar degeneration with TDP-43 pathology (FTLD-TDP) neuropathological changes. Thus, we highlight the importance of tau and TDP-43 synergies for subtyping AD patients, which may respond differently to therapeutic interventions depending on the presence of comorbid LATE-NC.
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Grants
- 10810 Alzheimer Forschung Initiative (Germany)
- 13803 Alzheimer Forschung Initiative (Germany)
- 22-AAIIA-963171 Alzheimer's Association (USA)
- A2022019F BrightFocus Foundation (USA)
- TH-624-4-1 Deutsche Forschungsgemeinschaft (DFG, Germany)
- 4-2 Deutsche Forschungsgemeinschaft (DFG, Germany)
- 6-1 Deutsche Forschungsgemeinschaft (DFG, Germany)
- G065721N Fonds Wetenschappelijk Onderzoek (FWO, Belgium)
- G0F8516N Fonds Wetenschappelijk Onderzoek (FWO, Belgium)
- 2020/017 Stichting Alzheimer Onderzoek (SAO/FRA, Belgium)
- C3/20/057 Onderzoeksraad, KU Leuven (Belgium)
- PDMT2/21/069 Onderzoeksraad, KU Leuven (Belgium)
- IWT 135043 Vlaamse Impulsfinanciering voor Netwerken voor Dementie-onderzoek (Belgium)
- Alzheimer Forschung Initiative (Germany)
- Alzheimer's Association (USA)
- BrightFocus Foundation (USA)
- Deutsche Forschungsgemeinschaft (DFG, Germany)
- Fonds Wetenschappelijk Onderzoek (FWO, Belgium)
- Onderzoeksraad, KU Leuven (Belgium)
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Affiliation(s)
- Sandra O. Tomé
- Laboratory for Neuropathology, Department of Imaging and Pathology and Leuven Brain InstituteKU LeuvenLeuvenBelgium
| | - Klara Gawor
- Laboratory for Neuropathology, Department of Imaging and Pathology and Leuven Brain InstituteKU LeuvenLeuvenBelgium
| | - Dietmar Rudolf Thal
- Laboratory for Neuropathology, Department of Imaging and Pathology and Leuven Brain InstituteKU LeuvenLeuvenBelgium
- Department of PathologyUniversity Hospitals of LeuvenLeuvenBelgium
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3
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Woodworth DC, Nguyen KM, Sordo L, Scambray KA, Head E, Kawas CH, Corrada MM, Nelson PT, Sajjadi SA. Comprehensive assessment of TDP-43 neuropathology data in the National Alzheimer's Coordinating Center database. Acta Neuropathol 2024; 147:103. [PMID: 38896163 PMCID: PMC11186885 DOI: 10.1007/s00401-024-02728-8] [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: 10/23/2023] [Revised: 03/02/2024] [Accepted: 04/02/2024] [Indexed: 06/21/2024]
Abstract
TDP-43 proteinopathy is a salient neuropathologic feature in a subset of frontotemporal lobar degeneration (FTLD-TDP), in amyotrophic lateral sclerosis (ALS-TDP), and in limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC), and is associated with hippocampal sclerosis of aging (HS-A). We examined TDP-43-related pathology data in the National Alzheimer's Coordinating Center (NACC) in two parts: (I) availability of assessments, and (II) associations with clinical diagnoses and other neuropathologies in those with all TDP-43 measures available. Part I: Of 4326 participants with neuropathology data collected using forms that included TDP-43 assessments, data availability was highest for HS-A (97%) and ALS (94%), followed by FTLD-TDP (83%). Regional TDP-43 pathologic assessment was available for 77% of participants, with hippocampus the most common region. Availability for the TDP-43-related measures increased over time, and was higher in centers with high proportions of participants with clinical FTLD. Part II: In 2142 participants with all TDP-43-related assessments available, 27% of participants had LATE-NC, whereas ALS-TDP or FTLD-TDP (ALS/FTLD-TDP) was present in 9% of participants, and 2% of participants had TDP-43 related to other pathologies ("Other TDP-43"). HS-A was present in 14% of participants, of whom 55% had LATE-NC, 20% ASL/FTLD-TDP, 3% Other TDP-43, and 23% no TDP-43. LATE-NC, ALS/FTLD-TDP, and Other TDP-43, were each associated with higher odds of dementia, HS-A, and hippocampal atrophy, compared to those without TDP-43 pathology. LATE-NC was associated with higher odds for Alzheimer's disease (AD) clinical diagnosis, AD neuropathologic change (ADNC), Lewy bodies, arteriolosclerosis, and cortical atrophy. ALS/FTLD-TDP was associated with higher odds of clinical diagnoses of primary progressive aphasia and behavioral-variant frontotemporal dementia, and cortical/frontotemporal lobar atrophy. When using NACC data for TDP-43-related analyses, researchers should carefully consider the incomplete availability of the different regional TDP-43 assessments, the high frequency of participants with ALS/FTLD-TDP, and the presence of other forms of TDP-43 pathology.
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Affiliation(s)
- Davis C Woodworth
- Department of Neurology, University of California, Irvine, Office 364, Med Surge II Building, Irvine, CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
| | - Katelynn M Nguyen
- Department of Neurology, University of California, Irvine, Office 364, Med Surge II Building, Irvine, CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
| | - Lorena Sordo
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
- Department of Pathology and Laboratory Medicine, University of California, Irvine, CA, USA
| | - Kiana A Scambray
- Department of Neurology, University of California, Irvine, Office 364, Med Surge II Building, Irvine, CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
| | - Elizabeth Head
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
- Department of Pathology and Laboratory Medicine, University of California, Irvine, CA, USA
| | - Claudia H Kawas
- Department of Neurology, University of California, Irvine, Office 364, Med Surge II Building, Irvine, CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA
| | - María M Corrada
- Department of Neurology, University of California, Irvine, Office 364, Med Surge II Building, Irvine, CA, 92697, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
- Department of Epidemiology and Biostatistics, University of California, Irvine, CA, USA
| | - Peter T Nelson
- Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, KY, USA
| | - S Ahmad Sajjadi
- Department of Neurology, University of California, Irvine, Office 364, Med Surge II Building, Irvine, CA, 92697, USA.
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA.
- Department of Pathology and Laboratory Medicine, University of California, Irvine, CA, USA.
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Ohm DT, Xie SX, Capp N, Arezoumandan S, Cousins KAQ, Rascovsky K, Wolk DA, Van Deerlin VM, Lee EB, McMillan CT, Irwin DJ. Cytoarchitectonic gradients of laminar degeneration in behavioral variant frontotemporal dementia. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.05.588259. [PMID: 38644997 PMCID: PMC11030243 DOI: 10.1101/2024.04.05.588259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Behavioral variant frontotemporal dementia (bvFTD) is a clinical syndrome primarily caused by either tau (bvFTD-tau) or TDP-43 (bvFTD-TDP) proteinopathies. We previously found lower cortical layers and dorsolateral regions accumulate greater tau than TDP-43 pathology; however, patterns of laminar neurodegeneration across diverse cytoarchitecture in bvFTD is understudied. We hypothesized that bvFTD-tau and bvFTD-TDP have distinct laminar distributions of pyramidal neurodegeneration along cortical gradients, a topologic order of cytoarchitectonic subregions based on increasing pyramidal density and laminar differentiation. Here, we tested this hypothesis in a frontal cortical gradient consisting of five cytoarchitectonic types (i.e., periallocortex, agranular mesocortex, dysgranular mesocortex, eulaminate-I isocortex, eulaminate-II isocortex) spanning anterior cingulate, paracingulate, orbitofrontal, and mid-frontal gyri in bvFTD-tau (n=27), bvFTD-TDP (n=47), and healthy controls (HC; n=32). We immunostained all tissue for total neurons (NeuN; neuronal-nuclear protein) and pyramidal neurons (SMI32; non-phosphorylated neurofilament) and digitally quantified NeuN-immunoreactivity (ir) and SMI32-ir in supragranular II-III, infragranular V-VI, and all I-VI layers in each cytoarchitectonic type. We used linear mixed-effects models adjusted for demographic and biologic variables to compare SMI32-ir between groups and examine relationships with the cortical gradient, long-range pathways, and clinical symptoms. We found regional and laminar distributions of SMI32-ir expected for HC, validating our measures within the cortical gradient framework. While SMI32-ir loss was not related to the cortical gradient in bvFTD-TDP, SMI32-ir progressively decreased along the cortical gradient of bvFTD-tau and included greater SMI32-ir loss in supragranular eulaminate-II isocortex in bvFTD-tau vs bvFTD-TDP ( p =0.039). In a structural model for long-range laminar connectivity between infragranular mesocortex and supragranular isocortex, we found a larger laminar ratio of mesocortex-to-isocortex SMI32-ir in bvFTD-tau vs bvFTD-TDP ( p =0.019), suggesting select long-projecting pathways may contribute to isocortical-predominant degeneration in bvFTD-tau. In cytoarchitectonic types with the highest NeuN-ir, we found lower SMI32-ir in bvFTD-tau vs bvFTD-TDP ( p =0.047), suggesting pyramidal neurodegeneration may occur earlier in bvFTD-tau. Lastly, we found that reduced SMI32-ir related to behavioral severity and frontal-mediated letter fluency, not temporal-mediated confrontation naming, demonstrating the clinical relevance and specificity of frontal pyramidal neurodegeneration to bvFTD-related symptoms. Our data suggest loss of neurofilament-rich pyramidal neurons is a clinically relevant feature of bvFTD that selectively worsens along a frontal cortical gradient in bvFTD-tau, not bvFTD-TDP. Therefore, tau-mediated degeneration may preferentially involve pyramidal-rich layers that connect more distant cytoarchitectonic types. Moreover, the hierarchical arrangement of cytoarchitecture along cortical gradients may be an important neuroanatomical framework for identifying which types of cells and pathways are differentially involved between proteinopathies.
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López A, López-Muñoz S, Caballero G, Castrejon N, Rojo L, Vidal-Robau N, Muñoz A, Ortiz E, Rodrigo M, García A, Cuatrecasas M, Ribalta T, Aldecoa I. Flanagan's condensed protocol for neurodegenerative diseases. Implementation in a clinical autopsy setting with partial supervision of a neuropathologist. Virchows Arch 2024:10.1007/s00428-024-03781-0. [PMID: 38472413 DOI: 10.1007/s00428-024-03781-0] [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: 09/13/2023] [Revised: 02/16/2024] [Accepted: 03/05/2024] [Indexed: 03/14/2024]
Abstract
The Condensed Protocol (CP) was originally developed for the evaluation of Alzheimer's Disease (AD) and other neurodegenerative diseases as a workable alternative to the complex and costly established autopsy guidelines. The study objective is to examine the degree of implementation of the CP in the pathology department of a third level university hospital in a period of 5 years. Clinical autopsies performed between 2016 and 2021 on patients aged 65 years or over and did not require a specific neuropathological examination were reviewed. Histological screening and staging of neurodegenerative diseases was performed using the original immunohistochemical stains. Out of 255 autopsies, 204 met the inclusion criteria and 190 could be reviewed. The CP was applied to 99 cases; histological signs of neurodegenerative disease were observed in 92. Sampling errors were detected in 59 cases. Immunohistochemical studies were performed in 68 cases. The diseases identified were: 31 cases of AD (12 low grade; 19 intermediate), 18 amyloid angiopathy, 15 primary age-related tauopathy, 6 argyrophilic grain disease, 3 progressive supranuclear palsy, 1 Lewy body disease (of 22 cases), and 2 limbic-predominant age TDP43 encephalopathy (of 5 cases). In 30 out of 83 cases, there was more severe vascular pathology in complete sections of frontal cortex and lentiform nucleus. The CP allows reliable detection and staging of AD and related neurodegenerative diseases in clinical autopsies. However, supervision by a neuropathologist seems necessary for a fully successful implementation of the CP in a clinical hospital setting.
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Affiliation(s)
- Aitana López
- Graduate Student. Medical School Casanova Campus, University of Barcelona, Barcelona, Spain
| | - Samuel López-Muñoz
- Pathology Department, Hospital Universitario Rey Juan Carlos, Móstoles, Madrid, Spain
| | - Gabriela Caballero
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain
| | - Natalia Castrejon
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain
| | - Leonardo Rojo
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain
| | - Nuria Vidal-Robau
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain
| | - Abel Muñoz
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain
| | - Estrella Ortiz
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain
| | - Maite Rodrigo
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain
| | - Adriana García
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain
| | - Miriam Cuatrecasas
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain
| | - Teresa Ribalta
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain
| | - Iban Aldecoa
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Villarroel 170. 08036, Barcelona, Spain.
- Neurological Tissue Bank of the Biobank-FCRB/IDIBAPS, Hospital Clinic - University of Barcelona, Barcelona, Spain.
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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.
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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
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Vizcarra JC, Pearce TM, Dugger BN, Keiser MJ, Gearing M, Crary JF, Kiely EJ, Morris M, White B, Glass JD, Farrell K, Gutman DA. Toward a generalizable machine learning workflow for neurodegenerative disease staging with focus on neurofibrillary tangles. Acta Neuropathol Commun 2023; 11:202. [PMID: 38110981 PMCID: PMC10726581 DOI: 10.1186/s40478-023-01691-x] [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: 09/11/2023] [Accepted: 11/19/2023] [Indexed: 12/20/2023] Open
Abstract
Machine learning (ML) has increasingly been used to assist and expand current practices in neuropathology. However, generating large imaging datasets with quality labels is challenging in fields which demand high levels of expertise. Further complicating matters is the often seen disagreement between experts in neuropathology-related tasks, both at the case level and at a more granular level. Neurofibrillary tangles (NFTs) are a hallmark pathological feature of Alzheimer disease, and are associated with disease progression which warrants further investigation and granular quantification at a scale not currently accessible in routine human assessment. In this work, we first provide a baseline of annotator/rater agreement for the tasks of Braak NFT staging between experts and NFT detection using both experts and novices in neuropathology. We use a whole-slide-image (WSI) cohort of neuropathology cases from Emory University Hospital immunohistochemically stained for Tau. We develop a workflow for gathering annotations of the early stage formation of NFTs (Pre-NFTs) and mature intracellular (iNFTs) and show ML models can be trained to learn annotator nuances for the task of NFT detection in WSIs. We utilize a model-assisted-labeling approach and demonstrate ML models can be used to aid in labeling large datasets efficiently. We also show these models can be used to extract case-level features, which predict Braak NFT stages comparable to expert human raters, and do so at scale. This study provides a generalizable workflow for various pathology and related fields, and also provides a technique for accomplishing a high-level neuropathology task with limited human annotations.
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Affiliation(s)
- Juan C Vizcarra
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, 313 Ferst Dr NW, Atlanta, GA, 30332, USA
| | - Thomas M Pearce
- Department of Pathology, Division of Neuropathology, University of Pittsburgh Medical Center, Room S701 Scaife Hall 3550 Terrace Street, Pittsburgh, PA, 15261, USA
| | - Brittany N Dugger
- Department of Pathology and Laboratory Medicine, University of California-Davis School of Medicine, 3400A Research Building III Sacramento, Davis, CA, 95817, USA
| | - Michael J Keiser
- Department of Pharmaceutical Chemistry, Department of Bioengineering and Therapeutic Sciences, Institute for Neurodegenerative Diseases, Kavli Institute for Fundamental Neuroscience, and Bakar Computational Health Sciences Institute, University of California, 675 Nelson Rising Ln, Box 0518, San Francisco, CA, 94143, USA
| | - Marla Gearing
- Department of Neurology, Emory University School of Medicine, 12 Executive Park Dr NE, Atlanta, GA, 30322, USA
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, 1364 Clifton Rd, Atlanta, GA, 30322, USA
| | - John F Crary
- Departments of Pathology, Neuroscience, and Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Neuropathology Brain Bank and Research Core, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pathology, Icahn School of Medicine at Mount Sinai, Icahn Building 9th Floor, Room 20A, 1425 Madison Avenue, New York, NY, 10029, USA
| | - Evan J Kiely
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, 1364 Clifton Rd, Atlanta, GA, 30322, USA
| | - Meaghan Morris
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, 21218, USA
| | - Bartholomew White
- Department of Pathology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA, 02215, USA
| | - Jonathan D Glass
- Department of Neurology, Emory University School of Medicine, 12 Executive Park Dr NE, Atlanta, GA, 30322, USA
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, 1364 Clifton Rd, Atlanta, GA, 30322, USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Whitehead Biomedical Research Building, 615 Michael Street, 5th Floor, Suite 500, Atlanta, GA, 30322, USA
| | - Kurt Farrell
- Departments of Pathology, Neuroscience, and Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Neuropathology Brain Bank and Research Core, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pathology, Icahn School of Medicine at Mount Sinai, Icahn Building 9th Floor, L9-02C, 1425 Madison, Avenue, New York, NY, USA
| | - David A Gutman
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, 1364 Clifton Rd, Atlanta, GA, 30322, USA.
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8
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Zhou Z, Kim J, Huang AY, Nolan M, Park J, Doan R, Shin T, Miller MB, Chhouk B, Morillo K, Yeh RC, Kenny C, Neil JE, Lee CZ, Ohkubo T, Ravits J, Ansorge O, Ostrow LW, Lagier-Tourenne C, Lee EA, Walsh CA. Somatic Mosaicism in Amyotrophic Lateral Sclerosis and Frontotemporal Dementia Reveals Widespread Degeneration from Focal Mutations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.30.569436. [PMID: 38077003 PMCID: PMC10705414 DOI: 10.1101/2023.11.30.569436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/17/2023]
Abstract
Although mutations in dozens of genes have been implicated in familial forms of amyotrophic lateral sclerosis (fALS) and frontotemporal degeneration (fFTD), most cases of these conditions are sporadic (sALS and sFTD), with no family history, and their etiology remains obscure. We tested the hypothesis that somatic mosaic mutations, present in some but not all cells, might contribute in these cases, by performing ultra-deep, targeted sequencing of 88 genes associated with neurodegenerative diseases in postmortem brain and spinal cord samples from 404 individuals with sALS or sFTD and 144 controls. Known pathogenic germline mutations were found in 20.6% of ALS, and 26.5% of FTD cases. Predicted pathogenic somatic mutations in ALS/FTD genes were observed in 2.7% of sALS and sFTD cases that did not carry known pathogenic or novel germline mutations. Somatic mutations showed low variant allele fraction (typically <2%) and were often restricted to the region of initial discovery, preventing detection through genetic screening in peripheral tissues. Damaging somatic mutations were preferentially enriched in primary motor cortex of sALS and prefrontal cortex of sFTD, mirroring regions most severely affected in each disease. Somatic mutation analysis of bulk RNA-seq data from brain and spinal cord from an additional 143 sALS cases and 23 controls confirmed an overall enrichment of somatic mutations in sALS. Two adult sALS cases were identified bearing pathogenic somatic mutations in DYNC1H1 and LMNA, two genes associated with pediatric motor neuron degeneration. Our study suggests that somatic mutations in fALS/fFTD genes, and in genes associated with more severe diseases in the germline state, contribute to sALS and sFTD, and that mosaic mutations in a small fraction of cells in focal regions of the nervous system can ultimately result in widespread degeneration.
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Affiliation(s)
- Zinan Zhou
- Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA, USA
- Manton Center for Orphan Disease, Boston Children’s Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Junho Kim
- Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA, USA
- Manton Center for Orphan Disease, Boston Children’s Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
- Department of Biological Sciences, Sungkyunkwan University, Suwon, South Korea
| | - August Yue Huang
- Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA, USA
- Manton Center for Orphan Disease, Boston Children’s Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Matthew Nolan
- Department of Neurology, The Sean M. Healey and AMG Center for ALS at Mass General, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Junseok Park
- Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA, USA
- Manton Center for Orphan Disease, Boston Children’s Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Ryan Doan
- Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Taehwan Shin
- Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA, USA
- Manton Center for Orphan Disease, Boston Children’s Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Michael B. Miller
- Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA, USA
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Brian Chhouk
- Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA, USA
- Manton Center for Orphan Disease, Boston Children’s Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Katherine Morillo
- Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA, USA
- Manton Center for Orphan Disease, Boston Children’s Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Rebecca C. Yeh
- Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA, USA
- Manton Center for Orphan Disease, Boston Children’s Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Connor Kenny
- Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA, USA
- Manton Center for Orphan Disease, Boston Children’s Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Jennifer E. Neil
- Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA, USA
- Manton Center for Orphan Disease, Boston Children’s Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, USA
| | - Chao-Zong Lee
- Department of Neurology, The Sean M. Healey and AMG Center for ALS at Mass General, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Takuya Ohkubo
- Department of Neurology, Yokohama City Minato Red Cross Hospital, Yokohama, Kanagawa, Japan
- Department of Neurosciences, School of Medicine, University of California at San Diego, La Jolla, CA, USA
| | - John Ravits
- Department of Neurosciences, School of Medicine, University of California at San Diego, La Jolla, CA, USA
| | - Olaf Ansorge
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, Oxfordshire, UK
| | - Lyle W. Ostrow
- Department of Neurology, Lewis Katz School of Medicine at Temple University, Philadelphia, USA
| | - Clotilde Lagier-Tourenne
- Department of Neurology, The Sean M. Healey and AMG Center for ALS at Mass General, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Eunjung Alice Lee
- Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA, USA
- Manton Center for Orphan Disease, Boston Children’s Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Christopher A. Walsh
- Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA, USA
- Manton Center for Orphan Disease, Boston Children’s Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, USA
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9
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Tan RH, McCann H, Shepherd CE, Pinkerton M, Mazumder S, Devenney EM, Adler GL, Rowe DB, Kril J, Halliday GM, Kiernan MC. Heterogeneity of cortical pTDP-43 inclusion morphologies in amyotrophic lateral sclerosis. Acta Neuropathol Commun 2023; 11:180. [PMID: 37957721 PMCID: PMC10642010 DOI: 10.1186/s40478-023-01670-2] [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: 07/05/2023] [Accepted: 10/10/2023] [Indexed: 11/15/2023] Open
Abstract
BACKGROUND Despite the presence of significant cortical pTDP-43 inclusions of heterogeneous morphologies in patients diagnosed with amyotrophic lateral sclerosis (ALS), pathological subclassification is routinely performed in the minority of patients with concomitant frontotemporal dementia (FTD). OBJECTIVE In order to improve current understanding of the presence and relevance of pathological pTDP-43 subtypes in ALS, the present study examined the pattern of cortical pTDP-43 aggregates in 61 ALS cases without FTD. RESULTS Based on the presence, morphology and composition of pTDP-43 pathology, three distinct ALS-TDP subtypes were delineated: (1) A predominant pattern of pTDP-43 granulofilamentous neuronal inclusions (GFNIs) and grains that were immuno-negative for p62 was identified in 18% of cases designated ALS-TDP type E; (2) neuronal cytoplasmic inclusions (NCIs) that were immuno-positive for both pTDP-43 and p62 were observed in 67% of cases assigned ALS-TDP type B; and (3) scarce cortical pTDP-43 and p62 aggregates were identified in 15% of cases coined ALS-TDP type SC (scarce cortical). Quantitative analyses revealed a significantly greater burden of pTDP-43 GFNI and grains in ALS-TDP type E. Principal component analysis demonstrated significant relationships between GFNIs, grains and ALS-TDP subtypes to support the distinction of subtypes E and B. No significant difference in age at death or disease duration was found between ALS-TDP subgroups to suggest that these subtypes represent earlier or later stages of the same disease process. Instead, a significantly higher ALS-TDP stage, indicating greater topographical spread of pTDP-43, was identified in ALS-TDP type E. Alzheimer's disease neuropathological change (ABC score ≥ intermediate) and Lewy body disease (Braak stage ≥ IV) was more prevalent in the ALS-TDP type SC cohort, which also demonstrated a significantly lower overall cognitive score. CONCLUSION In summary, the present study demonstrates that ALS-TDP does not represent a single homogenous neuropathology. We propose the subclassification of ALS-TDP into three distinct subtypes using standard immuno-stains for pTDP-43 and p62 in the motor cortex, which is routinely sampled and evaluated for diagnostic neuropathological characterisation of ALS. We propose that future studies specify both clinicopathological group and pTDP-43 subtype to advance current understanding of the pathogenesis of clinical phenotypes in pTDP-43 proteinopathies, which will have significant relevance to the development of targeted therapies for this heterogeneous disorder.
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Affiliation(s)
- Rachel H Tan
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.
- Faculty of Medicine and Health, School of Medical Sciences, University of Sydney, Camperdown, NSW, Australia.
| | - Heather McCann
- Neuroscience Research Australia, Randwick, NSW, Australia
| | | | - Monica Pinkerton
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, School of Medical Sciences, University of Sydney, Camperdown, NSW, Australia
| | - Srestha Mazumder
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Emma M Devenney
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Gabrielle L Adler
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, School of Medical Sciences, University of Sydney, Camperdown, NSW, Australia
| | - Dominic B Rowe
- Macquarie University Centre for Motor Neuron Disease Research, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Jillian Kril
- Faculty of Medicine and Health, School of Medical Sciences, University of Sydney, Camperdown, NSW, Australia
- Dementia Research Centre, Macquarie Medical School, Macquarie University, Sydney, NSW, Australia
| | - Glenda M Halliday
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, School of Medical Sciences, University of Sydney, Camperdown, NSW, Australia
| | - Matthew C Kiernan
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
- Institute of Clinical Neurosciences, Royal Prince Alfred Hospital, Sydney, NSW, Australia
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10
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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.
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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
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11
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Ohm DT, Rhodes E, Bahena A, Capp N, Lowe M, Sabatini P, Trotman W, Olm CA, Phillips J, Prabhakaran K, Rascovsky K, Massimo L, McMillan C, Gee J, Tisdall MD, Yushkevich PA, Lee EB, Grossman M, Irwin DJ. Neuroanatomical and cellular degeneration associated with a social disorder characterized by new ritualistic belief systems in a TDP-C patient vs. a Pick patient. Front Neurol 2023; 14:1245886. [PMID: 37900607 PMCID: PMC10600461 DOI: 10.3389/fneur.2023.1245886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 08/15/2023] [Indexed: 10/31/2023] Open
Abstract
Frontotemporal dementia (FTD) is a spectrum of clinically and pathologically heterogenous neurodegenerative dementias. Clinical and anatomical variants of FTD have been described and associated with underlying frontotemporal lobar degeneration (FTLD) pathology, including tauopathies (FTLD-tau) or TDP-43 proteinopathies (FTLD-TDP). FTD patients with predominant degeneration of anterior temporal cortices often develop a language disorder of semantic knowledge loss and/or a social disorder often characterized by compulsive rituals and belief systems corresponding to predominant left or right hemisphere involvement, respectively. The neural substrates of these complex social disorders remain unclear. Here, we present a comparative imaging and postmortem study of two patients, one with FTLD-TDP (subtype C) and one with FTLD-tau (subtype Pick disease), who both developed new rigid belief systems. The FTLD-TDP patient developed a complex set of values centered on positivity and associated with specific physical and behavioral features of pigs, while the FTLD-tau patient developed compulsive, goal-directed behaviors related to general themes of positivity and spirituality. Neuroimaging showed left-predominant temporal atrophy in the FTLD-TDP patient and right-predominant frontotemporal atrophy in the FTLD-tau patient. Consistent with antemortem cortical atrophy, histopathologic examinations revealed severe loss of neurons and myelin predominantly in the anterior temporal lobes of both patients, but the FTLD-tau patient showed more bilateral, dorsolateral involvement featuring greater pathology and loss of projection neurons and deep white matter. These findings highlight that the regions within and connected to anterior temporal lobes may have differential vulnerability to distinct FTLD proteinopathies and serve important roles in human belief systems.
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Affiliation(s)
- Daniel T. Ohm
- Penn Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Emma Rhodes
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Alejandra Bahena
- Penn Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Noah Capp
- Penn Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - MaKayla Lowe
- Penn Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Philip Sabatini
- Penn Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Winifred Trotman
- Penn Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Christopher A. Olm
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Jeffrey Phillips
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Karthik Prabhakaran
- Penn Image Computing and Science Lab, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - Katya Rascovsky
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Lauren Massimo
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Corey McMillan
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - James Gee
- Penn Image Computing and Science Lab, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - M. Dylan Tisdall
- Center for Advanced Magnetic Resonance Imaging and Spectroscopy, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - Paul A. Yushkevich
- Penn Image Computing and Science Lab, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - Edward B. Lee
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - David J. Irwin
- Penn Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
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12
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Tomé SO, Tsaka G, Ronisz A, Ospitalieri S, Gawor K, Gomes LA, Otto M, von Arnim CAF, Van Damme P, Van Den Bosch L, Ghebremedhin E, Laureyssen C, Sleegers K, Vandenberghe R, Rousseau F, Schymkowitz J, Thal DR. TDP-43 pathology is associated with increased tau burdens and seeding. Mol Neurodegener 2023; 18:71. [PMID: 37777806 PMCID: PMC10544192 DOI: 10.1186/s13024-023-00653-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 09/04/2023] [Indexed: 10/02/2023] Open
Abstract
BACKGROUND Most Alzheimer's Disease (AD) cases also exhibit limbic predominant age-related TDP-43 encephalopathy neuropathological changes (LATE-NC), besides amyloid-β plaques and neurofibrillary tangles (NFTs) containing hyperphosphorylated tau (p-tau). LATE-NC is characterized by cytoplasmic aggregates positive for pathological TDP-43 and is associated with more severe clinical outcomes in AD, compared to AD cases lacking TDP-43 pathology TDP-43: AD(LATE-NC-). Accumulating evidence suggests that TDP-43 and p-tau interact and exhibit pathological synergy during AD pathogenesis. However, it is not yet fully understood how the presence of TDP-43 affects p-tau aggregation in symptomatic AD. METHODS In this study, we investigated the impact of TDP-43 proteinopathy on p-tau pathology with different approaches: histologically, in a human post-mortem cohort (n = 98), as well as functionally using a tau biosensor cell line and TDP-43A315T transgenic mice. RESULTS We found that AD cases with comorbid LATE-NC, AD(LATE-NC+), have increased burdens of pretangles and/or NFTs as well as increased brain levels of p-tau199, compared to AD(LATE-NC-) cases and controls. The burden of TDP-43 pathology was also correlated with the Braak NFT stages. A tau biosensor cell line treated with sarkosyl-insoluble, brain-derived homogenates from AD(LATE-NC+) cases displayed exacerbated p-tau seeding, compared to control and AD(LATE-NC-)-treated cells. Consistently, TDP-43A315T mice injected with AD(LATE-NC+)-derived extracts also exhibited a more severe hippocampal seeding, compared to the remaining experimental groups, albeit no TDP-43 aggregation was observed. CONCLUSIONS Our findings extend the current knowledge by supporting a functional synergy between TDP-43 and p-tau. We further demonstrate that TDP-43 pathology worsens p-tau aggregation in an indirect manner and increases its seeding potential, probably by increasing p-tau levels. This may ultimately contribute to tau-driven neurotoxicity and cell death. Because most AD cases present with comorbid LATE-NC, this study has an impact on the understanding of TDP-43 and tau pathogenesis in AD and LATE, which account for the majority of dementia cases worldwide. Moreover, it highlights the need for the development of a biomarker that detects TDP-43 during life, in order to properly stratify AD and LATE patients.
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Affiliation(s)
- Sandra O Tomé
- Laboratory of Neuropathology - Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
- Leuven Brain Institute, KU Leuven, Leuven, Belgium.
| | - Grigoria Tsaka
- Laboratory of Neuropathology - Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
- Leuven Brain Institute, KU Leuven, Leuven, Belgium
- Switch Laboratory, VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium
- Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Alicja Ronisz
- Laboratory of Neuropathology - Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
- Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Simona Ospitalieri
- Laboratory of Neuropathology - Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
- Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Klara Gawor
- Laboratory of Neuropathology - Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
- Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Luis Aragão Gomes
- Laboratory of Neuropathology - Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
- Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany
- Department of Neurology, University of Halle, Halle, Germany
| | - Christine A F von Arnim
- Department of Neurology, University of Ulm, Ulm, Germany
- Department of Geriatrics, University Medical Center Göttingen, Göttingen, Germany
| | - Philip Van Damme
- Leuven Brain Institute, KU Leuven, Leuven, Belgium
- Laboratory for Neurobiology - VIB-KU Leuven, Leuven, Belgium
- Department of Neurology, UZ Leuven, Leuven, Belgium
| | - Ludo Van Den Bosch
- Leuven Brain Institute, KU Leuven, Leuven, Belgium
- Laboratory for Neurobiology - VIB-KU Leuven, Leuven, Belgium
| | - Estifanos Ghebremedhin
- Institute for Clinical Neuroanatomy - Johann Wolfgang Goethe University, Frankfurt Am Main, Germany
| | - Celeste Laureyssen
- Complex Genetics of Alzheimer's Disease Group, VIB-University of Antwerp Center for Molecular Neurology, Antwerp, Belgium
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Kristel Sleegers
- Complex Genetics of Alzheimer's Disease Group, VIB-University of Antwerp Center for Molecular Neurology, Antwerp, Belgium
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Rik Vandenberghe
- Leuven Brain Institute, KU Leuven, Leuven, Belgium
- Department of Neurology, UZ Leuven, Leuven, Belgium
- Laboratory of Experimental Neurology - Department of Neurosciences, KU Leuven, Leuven, Belgium
| | - Frederic Rousseau
- Switch Laboratory, VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium
- Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Joost Schymkowitz
- Switch Laboratory, VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium
- Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Dietmar Rudolf Thal
- Laboratory of Neuropathology - Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
- Leuven Brain Institute, KU Leuven, Leuven, Belgium
- Department of Pathology, UZ Leuven, Leuven, Belgium
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13
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Kulichikhin KY, Malikova OA, Zobnina AE, Zalutskaya NM, Rubel AA. Interaction of Proteins Involved in Neuronal Proteinopathies. Life (Basel) 2023; 13:1954. [PMID: 37895336 PMCID: PMC10608209 DOI: 10.3390/life13101954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 09/04/2023] [Accepted: 09/20/2023] [Indexed: 10/29/2023] Open
Abstract
Proteinopathy is characterized by the accumulation of aggregates of a specific protein in a target organ, tissue, or cell. The aggregation of the same protein can cause different pathologies as single protein can adopt various amyloidogenic, disease-specific conformations. The conformation governs the interaction of amyloid aggregates with other proteins that are prone to misfolding and, thus, determines disease-specific spectrum of concomitant pathologies. In this regard, a detailed description of amyloid protein conformation as well as spectrum of its interaction with other proteins become a key point for drafting of precise description of the disease. The majority of clinical cases of neuronal proteinopathies is caused by the aggregation of rather limited range of amyloidogenic proteins. Here, we provided the characterization of pathologies, related to the aggregation of amyloid β peptide, tau protein, α-synuclein, TDP-43, and amylin, giving a short description of pathologies themselves, recent advances in elucidation of misfolded protein conformation, with emphasis on those protein aggregates extracted from biological samples, what is known about the interaction of this proteins, and the influence of this interaction on the progression of underlying disease and comorbidities.
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Affiliation(s)
- Konstantin Y. Kulichikhin
- Laboratory of Amyloid Biology, St. Petersburg State University, 199034 St. Petersburg, Russia; (O.A.M.); (A.E.Z.)
| | - Oksana A. Malikova
- Laboratory of Amyloid Biology, St. Petersburg State University, 199034 St. Petersburg, Russia; (O.A.M.); (A.E.Z.)
| | - Anastasia E. Zobnina
- Laboratory of Amyloid Biology, St. Petersburg State University, 199034 St. Petersburg, Russia; (O.A.M.); (A.E.Z.)
| | - Natalia M. Zalutskaya
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, 192019 St. Petersburg, Russia;
| | - Aleksandr A. Rubel
- Laboratory of Amyloid Biology, St. Petersburg State University, 199034 St. Petersburg, Russia; (O.A.M.); (A.E.Z.)
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14
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Nag S, Schneider JA. Limbic-predominant age-related TDP43 encephalopathy (LATE) neuropathological change in neurodegenerative diseases. Nat Rev Neurol 2023; 19:525-541. [PMID: 37563264 PMCID: PMC10964248 DOI: 10.1038/s41582-023-00846-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/26/2023] [Indexed: 08/12/2023]
Abstract
TAR DNA-binding protein 43 (TDP43) is a focus of research in late-onset dementias. TDP43 pathology in the brain was initially identified in amyotrophic lateral sclerosis and frontotemporal lobar degeneration, and later in Alzheimer disease (AD), other neurodegenerative diseases and ageing. Limbic-predominant age-related TDP43 encephalopathy (LATE), recognized as a clinical entity in 2019, is characterized by amnestic dementia resembling AD dementia and occurring most commonly in adults over 80 years of age. Neuropathological findings in LATE, referred to as LATE neuropathological change (LATE-NC), consist of neuronal and glial cytoplasmic TDP43 localized predominantly in limbic areas with or without coexisting hippocampal sclerosis and/or AD neuropathological change and without frontotemporal lobar degeneration or amyotrophic lateral sclerosis pathology. LATE-NC is frequently associated with one or more coexisting pathologies, mainly AD neuropathological change. The focus of this Review is the pathology, genetic risk factors and nature of the cognitive impairments and dementia in pure LATE-NC and in LATE-NC associated with coexisting pathologies. As the clinical and cognitive profile of LATE is currently not easily distinguishable from AD dementia, it is important to develop biomarkers to aid in the diagnosis of this condition in the clinic. The pathogenesis of LATE-NC should be a focus of future research to form the basis for the development of preventive and therapeutic strategies.
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Affiliation(s)
- Sukriti Nag
- Rush Alzheimer's Disease Center, Department of Pathology (Neuropathology), Rush University Medical Center, Chicago, IL, USA.
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Department of Pathology (Neuropathology), Rush University Medical Center, Chicago, IL, USA.
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15
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Estades Ayuso V, Pickles S, Todd T, Yue M, Jansen-West K, Song Y, González Bejarano J, Rawlinson B, DeTure M, Graff-Radford NR, Boeve BF, Knopman DS, Petersen RC, Dickson DW, Josephs KA, Petrucelli L, Prudencio M. TDP-43-regulated cryptic RNAs accumulate in Alzheimer's disease brains. Mol Neurodegener 2023; 18:57. [PMID: 37605276 PMCID: PMC10441763 DOI: 10.1186/s13024-023-00646-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 08/04/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND Inclusions of TAR DNA-binding protein 43 kDa (TDP-43) has been designated limbic-predominant, age-related TDP-43 encephalopathy (LATE), with or without co-occurrence of Alzheimer's disease (AD). Approximately, 30-70% AD cases present TDP-43 proteinopathy (AD-TDP), and a greater disease severity compared to AD patients without TDP-43 pathology. However, it remains unclear to what extent TDP-43 dysfunction is involved in AD pathogenesis. METHODS To investigate whether TDP-43 dysfunction is a prominent feature in AD-TDP cases, we evaluated whether non-conserved cryptic exons, which serve as a marker of TDP-43 dysfunction in amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD-TDP), accumulate in AD-TDP brains. We assessed a cohort of 192 post-mortem brains from three different brain regions: amygdala, hippocampus, and frontal cortex. Following RNA and protein extraction, qRT-PCR and immunoassays were performed to quantify the accumulation of cryptic RNA targets and phosphorylated TDP-43 pathology, respectively. RESULTS We detected the accumulation of misspliced cryptic or skiptic RNAs of STMN2, KCNQ2, UNC13A, CAMK2B, and SYT7 in the amygdala and hippocampus of AD-TDP cases. The topographic distribution of cryptic RNA accumulation mimicked that of phosphorylated TDP-43, regardless of TDP-43 subtype classification. Further, cryptic RNAs efficiently discriminated AD-TDP cases from controls. CONCLUSIONS Overall, our results indicate that cryptic RNAs may represent an intriguing new therapeutic and diagnostic target in AD, and that methods aimed at detecting and measuring these species in patient biofluids could be used as a reliable tool to assess TDP-43 pathology in AD. Our work also raises the possibility that TDP-43 dysfunction and related changes in cryptic splicing could represent a common molecular mechanism shared between AD-TDP and FTLD-TDP.
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Affiliation(s)
- Virginia Estades Ayuso
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL, USA
| | - Sarah Pickles
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL, USA
| | - Tiffany Todd
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL, USA
| | - Mei Yue
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | | | - Yuping Song
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | | | | | - Michael DeTure
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL, USA
| | | | | | | | | | - Dennis W Dickson
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL, USA
| | | | - Leonard Petrucelli
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL, USA
| | - Mercedes Prudencio
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA.
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL, USA.
- Department of Research, Neuroscience, Mayo Clinic College of Medicine, 4500 San Pablo Rd, Jacksonville, FL, 32224, USA.
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16
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Giannini LA, Mol MO, Rajicic A, van Buuren R, Sarkar L, Arezoumandan S, Ohm DT, Irwin DJ, Rozemuller AJ, van Swieten JC, Seelaar H. Presymptomatic and early pathological features of MAPT-associated frontotemporal lobar degeneration. Acta Neuropathol Commun 2023; 11:126. [PMID: 37533060 PMCID: PMC10394953 DOI: 10.1186/s40478-023-01588-9] [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: 05/23/2023] [Accepted: 05/24/2023] [Indexed: 08/04/2023] Open
Abstract
Early pathological features of frontotemporal lobar degeneration (FTLD) due to MAPT pathogenic variants (FTLD-MAPT) are understudied, since early-stage tissue is rarely available. Here, we report unique pathological data from three presymptomatic/early-stage MAPT variant carriers (FTLD Clinical Dementia Rating [FTLD-CDR] = 0-1). We examined neuronal degeneration semi-quantitatively and digitally quantified tau burden in 18 grey matter (9 cortical, 9 subcortical) and 13 white matter (9 cortical, 4 subcortical) regions. We compared presymptomatic/early-stage pathology to an intermediate/end-stage cohort (FTLD-CDR = 2-3) with the same variants (2 L315R, 10 P301L, 6 G272V), and developed a clinicopathological staging model for P301L and G272V variants. The 68-year-old presymptomatic L315R carrier (FTLD-CDR = 0) had limited tau burden morphologically similar to L315R end-stage carriers in middle frontal, antero-inferior temporal, amygdala, (para-)hippocampus and striatum, along with age-related Alzheimer's disease neuropathological change. The 59-year-old prodromal P301L carrier (FTLD-CDR = 0.5) had highest tau burden in anterior cingulate, anterior temporal, middle/superior frontal, and fronto-insular cortex, and amygdala. The 45-year-old early-stage G272V carrier (FTLD-CDR = 1) had highest tau burden in superior frontal and anterior cingulate cortex, subiculum and CA1. The severity and distribution of tau burden showed some regional variability between variants at presymptomatic/early-stage, while neuronal degeneration, mild-to-moderate, was similarly distributed in frontotemporal regions. Early-stage tau burden and neuronal degeneration were both less severe than in intermediate-/end-stage cases. In a subset of regions (10 GM, 8 WM) used for clinicopathological staging, clinical severity correlated strongly with neuronal degeneration (rho = 0.72, p < 0.001), less strongly with GM tau burden (rho = 0.57, p = 0.006), and did not with WM tau burden (p = 0.9). Clinicopathological staging showed variant-specific patterns of early tau pathology and progression across stages. These unique data demonstrate that tau pathology and neuronal degeneration are present already at the presymptomatic/early-stage of FTLD-MAPT, though less severely compared to intermediate/end-stage disease. Moreover, early pathological patterns, especially of tau burden, differ partly between specific MAPT variants.
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Affiliation(s)
- Lucia Aa Giannini
- Department of Neurology and Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, 3015 GD, The Netherlands
| | - Merel O Mol
- Department of Neurology and Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, 3015 GD, The Netherlands
| | - Ana Rajicic
- Department of Neurology and Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, 3015 GD, The Netherlands
| | - Renee van Buuren
- Department of Neurology and Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, 3015 GD, The Netherlands
| | - Lana Sarkar
- Department of Neurology and Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, 3015 GD, The Netherlands
| | - Sanaz Arezoumandan
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Daniel T Ohm
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - David J Irwin
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Annemieke Jm Rozemuller
- Department of Pathology, Amsterdam Neuroscience, Amsterdam University Medical Center, location VUmc, Amsterdam, 1081 HZ, The Netherlands
| | - John C van Swieten
- Department of Neurology and Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, 3015 GD, The Netherlands
| | - Harro Seelaar
- Department of Neurology and Alzheimer Center Erasmus MC, Erasmus University Medical Center, Rotterdam, 3015 GD, The Netherlands.
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17
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Antonioni A, Raho EM, Lopriore P, Pace AP, Latino RR, Assogna M, Mancuso M, Gragnaniello D, Granieri E, Pugliatti M, Di Lorenzo F, Koch G. Frontotemporal Dementia, Where Do We Stand? A Narrative Review. Int J Mol Sci 2023; 24:11732. [PMID: 37511491 PMCID: PMC10380352 DOI: 10.3390/ijms241411732] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 07/18/2023] [Accepted: 07/19/2023] [Indexed: 07/30/2023] Open
Abstract
Frontotemporal dementia (FTD) is a neurodegenerative disease of growing interest, since it accounts for up to 10% of middle-age-onset dementias and entails a social, economic, and emotional burden for the patients and caregivers. It is characterised by a (at least initially) selective degeneration of the frontal and/or temporal lobe, generally leading to behavioural alterations, speech disorders, and psychiatric symptoms. Despite the recent advances, given its extreme heterogeneity, an overview that can bring together all the data currently available is still lacking. Here, we aim to provide a state of the art on the pathogenesis of this disease, starting with established findings and integrating them with more recent ones. In particular, advances in the genetics field will be examined, assessing them in relation to both the clinical manifestations and histopathological findings, as well as considering the link with other diseases, such as amyotrophic lateral sclerosis (ALS). Furthermore, the current diagnostic criteria will be explored, including neuroimaging methods, nuclear medicine investigations, and biomarkers on biological fluids. Of note, the promising information provided by neurophysiological investigations, i.e., electroencephalography and non-invasive brain stimulation techniques, concerning the alterations in brain networks and neurotransmitter systems will be reviewed. Finally, current and experimental therapies will be considered.
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Affiliation(s)
- Annibale Antonioni
- Unit of Clinical Neurology, Neurosciences and Rehabilitation Department, University of Ferrara, 44121 Ferrara, Italy
- Doctoral Program in Translational Neurosciences and Neurotechnologies, University of Ferrara, 44121 Ferrara, Italy
| | - Emanuela Maria Raho
- Unit of Clinical Neurology, Neurosciences and Rehabilitation Department, University of Ferrara, 44121 Ferrara, Italy
| | - Piervito Lopriore
- Neurological Institute, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
| | - Antonia Pia Pace
- Institute of Radiology, Department of Medicine, University of Udine, University Hospital S. Maria della Misericordia, Azienda Sanitaria-Universitaria Friuli Centrale, 33100 Udine, Italy
| | - Raffaela Rita Latino
- Complex Structure of Neurology, Emergency Department, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy
| | - Martina Assogna
- Centro Demenze, Policlinico Tor Vergata, University of Rome 'Tor Vergata', 00133 Rome, Italy
- Non Invasive Brain Stimulation Unit, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia, 00179 Rome, Italy
| | - Michelangelo Mancuso
- Neurological Institute, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
| | - Daniela Gragnaniello
- Nuerology Unit, Neurosciences and Rehabilitation Department, Ferrara University Hospital, 44124 Ferrara, Italy
| | - Enrico Granieri
- Unit of Clinical Neurology, Neurosciences and Rehabilitation Department, University of Ferrara, 44121 Ferrara, Italy
| | - Maura Pugliatti
- Unit of Clinical Neurology, Neurosciences and Rehabilitation Department, University of Ferrara, 44121 Ferrara, Italy
| | - Francesco Di Lorenzo
- Non Invasive Brain Stimulation Unit, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia, 00179 Rome, Italy
| | - Giacomo Koch
- Non Invasive Brain Stimulation Unit, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia, 00179 Rome, Italy
- Iit@Unife Center for Translational Neurophysiology, Istituto Italiano di Tecnologia, 44121 Ferrara, Italy
- Section of Human Physiology, Neurosciences and Rehabilitation Department, University of Ferrara, 44121 Ferrara, Italy
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18
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Ghaderi S, Fatehi F, Kalra S, Batouli SAH. MRI biomarkers for memory-related impairment in amyotrophic lateral sclerosis: a systematic review. Amyotroph Lateral Scler Frontotemporal Degener 2023:1-17. [PMID: 37469125 DOI: 10.1080/21678421.2023.2236651] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 06/06/2023] [Accepted: 06/30/2023] [Indexed: 07/21/2023]
Abstract
Introduction: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder associated with cognitive and behavioral impairments and motor symptoms. Magnetic resonance imaging (MRI) biomarkers have been investigated as potential tools for detecting and monitoring memory-related impairment in ALS. Our objective was to examine the importance of identifying MRI biomarkers for memory-related impairment in ALS, motor neuron disease (MND), and ALS frontotemporal dementia (FTD) (ALS-FTD) patients. Methods: PubMed and Scopus databases were searched. Keywords covering magnetic resonance imaging, ALS, MND, and memory impairments were searched. There were a total of 25 studies included in our work here. Results: The structural MRI (sMRI) studies reported gray matter (GM) atrophy in the regions associated with memory processing, such as the hippocampus and parahippocampal gyrus (PhG), in ALS patients. The diffusion tensor imaging (DTI) studies showed white matter (WM) alterations in the corticospinal tract (CST) and other tracts that are related to motor and extra-motor functions, and these alterations were associated with memory and executive function impairments in ALS. The functional MRI (fMRI) studies also demonstrated an altered activation in the prefrontal cortex, limbic system, and other brain regions involved in memory and emotional processing in ALS patients. Conclusion: MRI biomarkers show promise in uncovering the neural mechanisms of memory-related impairment in ALS. Nonetheless, addressing challenges such as sample sizes, imaging protocols, and longitudinal studies is crucial for future research. Ultimately, MRI biomarkers have the potential to be a tool for detecting and monitoring memory-related impairments in ALS.
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Affiliation(s)
- Sadegh Ghaderi
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Neurology Department, Neuromuscular Research Center, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Farzad Fatehi
- Neurology Department, Neuromuscular Research Center, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Sanjay Kalra
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada
- Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Seyed Amir Hossein Batouli
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
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19
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Jakabek D, Power BD, Spotorno N, Macfarlane MD, Walterfang M, Velakoulis D, Nilsson C, Waldö ML, Lätt J, Nilsson M, van Westen D, Lindberg O, Looi JCL, Santillo AF. Structural and microstructural thalamocortical network disruption in sporadic behavioural variant frontotemporal dementia. Neuroimage Clin 2023; 39:103471. [PMID: 37473493 PMCID: PMC10371821 DOI: 10.1016/j.nicl.2023.103471] [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: 02/06/2023] [Revised: 06/09/2023] [Accepted: 07/06/2023] [Indexed: 07/22/2023]
Abstract
BACKGROUND Using multi-block methods we combined multimodal neuroimaging metrics of thalamic morphology, thalamic white matter tract diffusion metrics, and cortical thickness to examine changes in behavioural variant frontotemporal dementia. (bvFTD). METHOD Twenty-three patients with sporadic bvFTD and 24 healthy controls underwent structural and diffusion MRI scans. Clinical severity was assessed using the Clinical Dementia Rating scale and behavioural severity using the Frontal Behaviour Inventory by patient caregivers. Thalamic volumes were manually segmented. Anterior and posterior thalamic radiation fractional anisotropy and mean diffusivity were extracted using Tract-Based Spatial Statistics. Finally, cortical thickness was assessed using Freesurfer. We used shape analyses, diffusion measures, and cortical thickness as features in sparse multi-block partial least squares (PLS) discriminatory analyses to classify participants within bvFTD or healthy control groups. Sparsity was tuned with five-fold cross-validation repeated 10 times. Final model fit was assessed using permutation testing. Additionally, sparse multi-block PLS was used to examine associations between imaging features and measures of dementia severity. RESULTS Bilateral anterior-dorsal thalamic atrophy, reduction in mean diffusivity of thalamic projections, and frontotemporal cortical thinning, were the main features predicting bvFTD group membership. The model had a sensitivity of 96%, specificity of 68%, and was statistically significant using permutation testing (p = 0.012). For measures of dementia severity, we found similar involvement of regional thalamic and cortical areas as in discrimination analyses, although more extensive thalamo-cortical white matter metric changes. CONCLUSIONS Using multimodal neuroimaging, we demonstrate combined structural network dysfunction of anterior cortical regions, cortical-thalamic projections, and anterior thalamic regions in sporadic bvFTD.
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Affiliation(s)
| | - Brian D Power
- School of Medicine, The University of Notre Dame Australia, Fremantle, Australia
| | - Nicola Spotorno
- Department of Clinical Sciences, Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund/Malmö, Sweden
| | | | - Mark Walterfang
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Australia; Department of Psychiatry, University of Melbourne, Melbourne, Australia
| | - Dennis Velakoulis
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne, Australia; Department of Psychiatry, University of Melbourne, Melbourne, Australia
| | - Christer Nilsson
- Department of Clinical Sciences, Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund/Malmö, Sweden
| | - Maria Landqvist Waldö
- Clinical Sciences Helsingborg, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Jimmy Lätt
- Diagnostic Radiology, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Markus Nilsson
- Diagnostic Radiology, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Danielle van Westen
- Imaging and Function, Skane University Hospital, Lund, Sweden; Diagnostic Radiology, Institution for Clinical Sciences, Lund University, Lund, Sweden
| | - Olof Lindberg
- Department of Clinical Sciences, Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund/Malmö, Sweden
| | - Jeffrey C L Looi
- Academic Unit of Psychiatry and Addiction Medicine, The Australian National University School of Medicine and Psychology, Canberra Hospital, Canberra, Australian Capital Territory, Australia
| | - Alexander F Santillo
- Department of Clinical Sciences, Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund/Malmö, Sweden.
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20
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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: 17] [Impact Index Per Article: 17.0] [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.
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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
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21
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Mesulam MM, Gefen T, Flanagan M, Castellani R, Jamshidi P, Barbieri E, Sridhar J, Kawles A, Weintraub S, Geula C, Rogalski E. Frontotemporal Degeneration with Transactive Response DNA-Binding Protein Type C at the Anterior Temporal Lobe. Ann Neurol 2023; 94:1-12. [PMID: 37183762 PMCID: PMC10330481 DOI: 10.1002/ana.26677] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 04/28/2023] [Accepted: 05/06/2023] [Indexed: 05/16/2023]
Abstract
The anatomical distribution of most neurodegenerative diseases shows considerable interindividual variations. In contrast, frontotemporal lobar degeneration with transactive response DNA-binding protein type C (TDP-C) shows a consistent predilection for the anterior temporal lobe (ATL). The relatively selective atrophy of ATL in TDP-C patients has highlighted the importance of this region for complex cognitive and behavioral functions. This review includes observations on 28 TDP-C patients, 18 with semantic primary progressive aphasia and 10 with other syndromes. Longitudinal imaging allowed the delineation of progression trajectories. At post-mortem examination, the pathognomonic feature of TDP-C consisted of long, thick neurites found predominantly in superficial cortical layers. These neurites may represent dystrophic apical dendrites of layer III and V pyramidal neurons that are known to play pivotal roles in complex cortical computations. Other types of frontotemporal lobar degeneration TDP, such as TDP-A and TDP-B, are not associated with long dystrophic neurites in the cerebral cortex, and do not show similar predilection patterns for ATL. Research is beginning to identify molecular, structural, and immunological differences between pathological TDP-43 in TDP-C versus TDP-A and B. Parallel investigations based on proteomics, somatic mutations, and genome-wide association studies are detecting molecular features that could conceivably mediate the selective vulnerability of ATL to TDP-C. Future work will focus on characterizing the distinctive features of the abnormal TDP-C neurites, the mechanisms of neurotoxicity, initial cellular targets within the ATL, trajectory of spread, and the nature of ATL-specific markers that modulate vulnerability to TDP-C. ANN NEUROL 2023;94:1-12.
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Affiliation(s)
- Marek-Marsel Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Tamar Gefen
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Psychiatry, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Margaret Flanagan
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Rudolph Castellani
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Pouya Jamshidi
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Elena Barbieri
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Jaiashre Sridhar
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Allegra Kawles
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Psychiatry, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Sandra Weintraub
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Psychiatry, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Changiz Geula
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Cell and Molecular Biology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Emily Rogalski
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Psychiatry, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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22
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Chen M, Burke S, Olm CA, Irwin DJ, Massimo L, Lee EB, Trojanowski JQ, Gee JC, Grossman M. Antemortem network analysis of spreading pathology in autopsy-confirmed frontotemporal degeneration. Brain Commun 2023; 5:fcad147. [PMID: 37223129 PMCID: PMC10202556 DOI: 10.1093/braincomms/fcad147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 03/15/2023] [Accepted: 05/10/2023] [Indexed: 05/25/2023] Open
Abstract
Despite well-articulated hypotheses of spreading pathology in animal models of neurodegenerative disease, the basis for spreading neurodegenerative pathology in humans has been difficult to ascertain. In this study, we used graph theoretic analyses of structural networks in antemortem, multimodal MRI from autopsy-confirmed cases to examine spreading pathology in sporadic frontotemporal lobar degeneration. We defined phases of progressive cortical atrophy on T1-weighted MRI using a published algorithm in autopsied frontotemporal lobar degeneration with tau inclusions or with transactional DNA binding protein of ∼43 kDa inclusions. We studied global and local indices of structural networks in each of these phases, focusing on the integrity of grey matter hubs and white matter edges projecting between hubs. We found that global network measures are compromised to an equal degree in patients with frontotemporal lobar degeneration with tau inclusions and frontotemporal lobar degeneration-transactional DNA binding protein of ∼43 kDa inclusions compared to healthy controls. While measures of local network integrity were compromised in both frontotemporal lobar degeneration with tau inclusions and frontotemporal lobar degeneration-transactional DNA binding protein of ∼43 kDa inclusions, we discovered several important characteristics that distinguished between these groups. Hubs identified in controls were degraded in both patient groups, but degraded hubs were associated with the earliest phase of cortical atrophy (i.e. epicentres) only in frontotemporal lobar degeneration with tau inclusions. Degraded edges were significantly more plentiful in frontotemporal lobar degeneration with tau inclusions than in frontotemporal lobar degeneration-transactional DNA binding protein of ∼43 kDa inclusions, suggesting that the spread of tau pathology involves more significant white matter degeneration. Weakened edges were associated with degraded hubs in frontotemporal lobar degeneration with tau inclusions more than in frontotemporal lobar degeneration-transactional DNA binding protein of ∼43 kDa inclusions, particularly in the earlier phases of the disease, and phase-to-phase transitions in frontotemporal lobar degeneration with tau inclusions were characterized by weakened edges in earlier phases projecting to diseased hubs in subsequent phases of the disease. When we examined the spread of pathology from a region diseased in an earlier phase to physically adjacent regions in subsequent phases, we found greater evidence of disease spreading to adjacent regions in frontotemporal lobar degeneration-transactional DNA binding protein of ∼43 kDa inclusions than in frontotemporal lobar degeneration with tau inclusions. We associated evidence of degraded grey matter hubs and weakened white matter edges with quantitative measures of digitized pathology from direct observations of patients' brain samples. We conclude from these observations that the spread of pathology from diseased regions to distant regions via weakened long-range edges may contribute to spreading disease in frontotemporal dementia-tau, while spread of pathology to physically adjacent regions via local neuronal connectivity may play a more prominent role in spreading disease in frontotemporal lobar degeneration-transactional DNA binding protein of ∼43 kDa inclusions.
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Affiliation(s)
- Min Chen
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sarah Burke
- Department of Neurology, Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Christopher A Olm
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neurology, Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Bioengineering, Bioengineering Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - David J Irwin
- Department of Neurology, Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neurology, Neuroscience Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Lauren Massimo
- Department of Neurology, Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - James C Gee
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Bioengineering, Bioengineering Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Murray Grossman
- Department of Neurology, Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Bioengineering, Bioengineering Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Neurology, Neuroscience Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA
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23
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Chu M, Jiang D, Liu L, Nie B, Rosa-Neto P, Chen K, Wu L. Clinical relevance of disrupted topological organization of anatomical connectivity in behavioral variant frontotemporal dementia. Neurobiol Aging 2023; 124:29-38. [PMID: 36724600 PMCID: PMC11102657 DOI: 10.1016/j.neurobiolaging.2023.01.004] [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: 07/26/2022] [Revised: 01/04/2023] [Accepted: 01/05/2023] [Indexed: 01/13/2023]
Abstract
Graph theory is a novel approach used to examine the balance of brain connectomes. However, the clinical relevance of white matter (WM) connectome changes in the behavioral variant frontotemporal dementia (bvFTD) is not well understood. We aimed to investigate the clinical relevance of WM topological alterations in bvFTD. Thirty patients with probable bvFTD and 30 healthy controls underwent diffusion tensor imaging, structural MRI, and neuropsychological assessment. WM connectivity between 90 brain regions was calculated and the graph approach was applied to capture the individual characteristics of the anatomical network. Voxel-based morphometry and tract-based spatial statistics were used to present the gray matter atrophy and disrupted WM integrity. The topological organization was disrupted in patients with bvFTD both globally and locally. Compared to controls, bvFTD data showed a different pattern of hub region distributions. Notably, the nodal efficiency of the right superior orbital frontal gyrus was associated with apathy and disinhibition. Topological measures may be potential image markers for early diagnosis and disease severity monitoring of bvFTD.
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Affiliation(s)
- Min Chu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Deming Jiang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Li Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Binbin Nie
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, China; School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Pedro Rosa-Neto
- McGill Centre for Studies in Aging, Alzheimer's Disease Research Unit, Montreal, Canada
| | - Kewei Chen
- Banner Alzheimer's Institute, Phoenix, AZ, USA; College of Medicine-Phoenix, University of Arizona, Tucson, AZ, USA; School of Mathematics and Statistics, Arizona State University, Tempe, AZ, USA; Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Liyong Wu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
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24
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Donadio V, Sturchio A, Rizzo G, Abu Rumeileh S, Liguori R, Espay AJ. Pathology vs pathogenesis: Rationale and pitfalls in the clinicopathology model of neurodegeneration. HANDBOOK OF CLINICAL NEUROLOGY 2023; 192:35-55. [PMID: 36796947 DOI: 10.1016/b978-0-323-85538-9.00001-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
In neurodegenerative disorders, the term pathology is often implicitly referred to as pathogenesis. Pathology has been conceived as a window into the pathogenesis of neurodegenerative disorders. This clinicopathologic framework posits that what can be identified and quantified in postmortem brain tissue can explain both premortem clinical manifestations and the cause of death, a forensic approach to understanding neurodegeneration. As the century-old clinicopathology framework has yielded little correlation between pathology and clinical features or neuronal loss, the relationship between proteins and degeneration is ripe for revisitation. There are indeed two synchronous consequences of protein aggregation in neurodegeneration: the loss of the soluble/normal proteins on one; the accrual of the insoluble/abnormal fraction of these proteins on the other. The omission of the first part in the protein aggregation process is an artifact of the early autopsy studies: soluble, normal proteins have disappeared, with only the remaining insoluble fraction amenable to quantification. We here review the collective evidence from human data suggesting that protein aggregates, known collectively as pathology, are the consequence of many biological, toxic, and infectious exposures, but may not explain alone the cause or pathogenesis of neurodegenerative disorders.
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Affiliation(s)
- Vincenzo Donadio
- IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Clinica Neurologica, Bologna, Italy.
| | - Andrea Sturchio
- Department of Clinical Neuroscience, Neuro Svenningsson, Karolinska Institutet, Stockholm, Sweden; James J. and Joan A. Gardner Family Center for Parkinson's Disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, United States
| | - Giovanni Rizzo
- IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Clinica Neurologica, Bologna, Italy
| | - Samir Abu Rumeileh
- Department of Neurology, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Rocco Liguori
- IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Clinica Neurologica, Bologna, Italy
| | - Alberto J Espay
- James J. and Joan A. Gardner Family Center for Parkinson's Disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, United States
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25
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TDP-43 Proteinopathy Specific Biomarker Development. Cells 2023; 12:cells12040597. [PMID: 36831264 PMCID: PMC9954136 DOI: 10.3390/cells12040597] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/31/2023] [Accepted: 02/07/2023] [Indexed: 02/16/2023] Open
Abstract
TDP-43 is the primary or secondary pathological hallmark of neurodegenerative diseases, such as amyotrophic lateral sclerosis, half of frontotemporal dementia cases, and limbic age-related TDP-43 encephalopathy, which clinically resembles Alzheimer's dementia. In such diseases, a biomarker that can detect TDP-43 proteinopathy in life would help to stratify patients according to their definite diagnosis of pathology, rather than in clinical subgroups of uncertain pathology. For therapies developed to target pathological proteins that cause the disease a biomarker to detect and track the underlying pathology would greatly enhance such undertakings. This article reviews the latest developments and outlooks of deriving TDP-43-specific biomarkers from the pathophysiological processes involved in the development of TDP-43 proteinopathy and studies using biosamples from clinical entities associated with TDP-43 pathology to investigate biomarker candidates.
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26
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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: 1.0] [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.
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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
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27
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Saracino D, Sellami L, Boniface H, Houot M, Pélégrini-Issac M, Funkiewiez A, Rinaldi D, Locatelli M, Azuar C, Causse-Lemercier V, Jaillard A, Pasquier F, Chastan M, Wallon D, Hitzel A, Pariente J, Pallardy A, Boutoleau-Bretonnière C, Guedj E, Didic M, Migliaccio R, Kas A, Habert MO, Le Ber I. Brain Metabolic Profile in Presymptomatic GRN Carriers Throughout a 5-Year Follow-up. Neurology 2023; 100:e396-e407. [PMID: 36257714 DOI: 10.1212/wnl.0000000000201439] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 09/06/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND AND OBJECTIVES GRN variants are a frequent cause of familial frontotemporal dementia (FTD). Monitoring disease progression in asymptomatic carriers of genetic variants is a major challenge in delivering preventative therapies before clinical onset. This study aimed to assess the usefulness of fluorodeoxyglucose (FDG)-PET in identifying metabolic changes in presymptomatic GRN carriers (PS-GRN+) and to trace their longitudinal progression. METHODS Participants were longitudinally evaluated over 5 years in a prospective cohort study focused on GRN disease (Predict-PGRN). They underwent cognitive/behavioral assessment, plasma neurofilament measurement, brain MRI, and FDG-PET. Voxel-wise comparisons of structural and metabolic imaging data between 2 groups were performed for each time point. Longitudinal PET changes were evaluated with voxel-wise comparisons and the metabolic percent annual changes method. The association of regional brain metabolism with plasma neurofilament and cognitive changes was analyzed. RESULTS Among the 80 individuals enrolled in the study, 58 (27 PS-GRN+ and 31 noncarriers) were included in the analyses. Cross-sectional comparisons between PS-GRN+ and controls found a significant hypometabolism in the left superior temporal sulcus (STS) region (encompassing the middle and superior temporal gyri), approximately 15 years before the expected disease onset, without significant cortical atrophy. The longitudinal metabolic decline over the following 5 years peaked around the right STS in carriers (p < 0.001), without significantly greater volume loss compared with that in controls. Their estimated annualized metabolic decrease (-1.37%) was higher than that in controls (-0.21%, p = 0.004). Lower glucose uptake was associated with higher neurofilament increase (p = 0.003) and lower frontal cognitive scores (p = 0.014) in PS-GRN+. DISCUSSION This study detected brain metabolic changes in the STS region, preceding structural and cognitive alterations, thus contributing to the characterization of the pathochronology of preclinical GRN disease. Owing to the STS involvement in the perception of facially communicated cues, it is likely that its dysfunction contributes to social cognition deficits characterizing FTD. Overall, our study highlights brain metabolic changes as an early disease-tracking biomarker and proposes annualized percent decrease as a metric to monitor therapeutic response in forthcoming trials.
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Affiliation(s)
- Dario Saracino
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Leila Sellami
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Hugo Boniface
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Marion Houot
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Mélanie Pélégrini-Issac
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Aurélie Funkiewiez
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Daisy Rinaldi
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Maxime Locatelli
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Carole Azuar
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Valérie Causse-Lemercier
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Alice Jaillard
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Florence Pasquier
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Mathieu Chastan
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - David Wallon
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Anne Hitzel
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Jérémie Pariente
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Amandine Pallardy
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Claire Boutoleau-Bretonnière
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Eric Guedj
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Mira Didic
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Raffaella Migliaccio
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Aurélie Kas
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Marie-Odile Habert
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France
| | - Isabelle Le Ber
- From the Sorbonne Université (D.S., L.S., M.H., A.F., D.R., M.L., R.M., I.L.B.), Paris Brain Institute-Institut du Cerveau-ICM, Inserm U1127, CNRS UMR 7225, Paris, France; IM2A (D.S., M.H., A.F., D.R., C.A., R.M., I.L.B.), Reference Centre for Rare or Early-Onset Dementias, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Aramis Project Team (D.S.), Inria Research Center of Paris, France; Sorbonne Université (H.B., M.P.-I., M.L., A.K., M.-O.H.), CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Paris, France; Centre d'Acquisition et de Traitement d'Images (CATI) (H.B., M.L., A.K., M.-O.H.), US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Ile de France, France; Université Paris-Saclay (H.B.), CEA, CNRS, Neurospin, UMR9027 Baobab, Gif-sur-Yvette, France; Centre of Excellence of Neurodegenerative Disease (CoEN) (M.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Département de Médecine Nucléaire (V.C.-L., A.K., M.-O.H.), AP-HP - Hôpital Pitié-Salpêtrière, Paris, France; Nuclear Medicine Department (A.J.), CHU Lille, Lille, France; Univ Lille (F.P.), Inserm U1172, CHU Lille, DistAlz, LiCEND, CNR-MAJ, France; Department of Nuclear Medicine (M.C.), Centre Henri Becquerel, Rouen University Hospital, France; Normandie Univ (D.W.), UNIROUEN, Inserm U1245 and CHU Rouen, Department of Neurology, CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Rouen, France; Nuclear Medicine Department (A.H.), Toulouse Purpan University Hospital, France; Department of Neurology and ToNIC (J.P.), Toulouse NeuroImaging Centre, Inserm, UPS, Toulouse University Hospital, France; Nuclear Medicine Department (A.P.), University Hospital of Nantes, France; CHU Nantes (C.B.-B.), Inserm CIC04, Department of Neurology, Centre Mémoire de Ressources et Recherche, Nantes, France; Nuclear Medicine Department (E.G.), Aix-Marseille University, APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, France; APHM (M.D.), Timone, Service de Neurologie et Neuropsychologie, APHM-Hôpital Timone Adultes, Marseille, France; and Aix-Marseille Univ (M.D.), INSERM, INS Institut de Neurosciences des Systèmes, France.
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28
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Vandenbulcke M, Van de Vliet L, Sun J, Huang YA, Van Den Bossche MJA, Sunaert S, Peeters R, Zhu Q, Vanduffel W, de Gelder B, De Winter FL, Van den Stock J. A paleo-neurologic investigation of the social brain hypothesis in frontotemporal dementia. Cereb Cortex 2023; 33:622-633. [PMID: 35253853 DOI: 10.1093/cercor/bhac089] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 02/09/2022] [Accepted: 02/10/2022] [Indexed: 02/03/2023] Open
Abstract
The social brain hypothesis posits that a disproportionate encephalization in primates enabled to adapt behavior to a social context. Also, it has been proposed that phylogenetically recent brain areas are disproportionally affected by neurodegeneration. Using structural and functional magnetic resonance imaging, the present study investigates brain-behavior associations and neural integrity of hyperspecialized and domain-general cortical social brain areas in behavioral variant frontotemporal dementia (bvFTD). The results revealed that both structure and function of hyperspecialized social areas in the middle portion of the superior temporal sulcus (STS) are compromised in bvFTD, while no deterioration was observed in domain general social areas in the posterior STS. While the structural findings adhered to an anterior-posterior gradient, the functional group differences only occurred in the hyperspecialized locations. Activity in specialized regions was associated with structural integrity of the amygdala and with social deficits in bvFTD. In conclusion, the results are in line with the paleo-neurology hypothesis positing that neurodegeneration primarily hits cortical areas showing increased specialization, but also with the compatible alternative explanation that anterior STS regions degenerate earlier, based on stronger connections to and trans-neuronal spreading from regions affected early in bvFTD.
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Affiliation(s)
- Mathieu Vandenbulcke
- Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven 3000, Belgium.,Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven 3000, Belgium
| | - Laura Van de Vliet
- Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven 3000, Belgium
| | - Jiaze Sun
- Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven 3000, Belgium
| | - Yun-An Huang
- Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven 3000, Belgium
| | - Maarten J A Van Den Bossche
- Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven 3000, Belgium.,Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven 3000, Belgium
| | - Stefan Sunaert
- Department of Radiology, University Hospitals Leuven, Leuven 3000, Belgium.,Department of Imaging and Pathology, KU Leuven, Leuven 3000, Belgium
| | - Ron Peeters
- Department of Radiology, University Hospitals Leuven, Leuven 3000, Belgium.,Department of Imaging and Pathology, KU Leuven, Leuven 3000, Belgium
| | - Qi Zhu
- Laboratory for Neuro- and Psychophysiology, Leuven Brain Institute, KU Leuven, Leuven 3000, Belgium
| | - Wim Vanduffel
- Laboratory for Neuro- and Psychophysiology, Leuven Brain Institute, KU Leuven, Leuven 3000, Belgium.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA.,Department of Radiology, Harvard Medical School, Boston, MA 02144, USA
| | - Beatrice de Gelder
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht 6229 EV, The Netherlands.,Department of Computer Science, University College London, London WC1E 6BT, UK
| | - François-Laurent De Winter
- Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven 3000, Belgium.,Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven 3000, Belgium
| | - Jan Van den Stock
- Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven 3000, Belgium.,Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven 3000, Belgium
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29
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Kashyap SN, Boyle NR, Roberson ED. Preclinical Interventions in Mouse Models of Frontotemporal Dementia Due to Progranulin Mutations. Neurotherapeutics 2023; 20:140-153. [PMID: 36781744 PMCID: PMC10119358 DOI: 10.1007/s13311-023-01348-6] [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] [Accepted: 01/20/2023] [Indexed: 02/15/2023] Open
Abstract
Heterozygous loss-of-function mutations in progranulin (GRN) cause frontotemporal dementia (FTD), a leading cause of early-onset dementia characterized clinically by behavioral, social, and language deficits. There are currently no FDA-approved therapeutics for FTD-GRN, but this has been an active area of investigation, and several approaches are now in clinical trials. Here, we review preclinical development of therapies for FTD-GRN with a focus on testing in mouse models. Since most FTD-GRN-associated mutations cause progranulin haploinsufficiency, these approaches focus on raising progranulin levels. We begin by considering the disorders associated with altered progranulin levels, and then review the basics of progranulin biology including its lysosomal, neurotrophic, and immunomodulatory functions. We discuss mouse models of progranulin insufficiency and how they have been used in preclinical studies on a variety of therapeutic approaches. These include approaches to raise progranulin expression from the normal allele or facilitate progranulin production by the mutant allele, as well as approaches to directly increase progranulin levels by delivery across the blood-brain barrier or by gene therapy. Several of these approaches have entered clinical trials, providing hope that new therapies for FTD-GRN may be the next frontier in the treatment of neurodegenerative disease.
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Affiliation(s)
- Shreya N Kashyap
- Center for Neurodegeneration and Experimental Therapeutics, Alzheimer's Disease Center, Medical Scientist Training Program, Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Nicholas R Boyle
- Center for Neurodegeneration and Experimental Therapeutics, Alzheimer's Disease Center, Medical Scientist Training Program, Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Erik D Roberson
- Center for Neurodegeneration and Experimental Therapeutics, Alzheimer's Disease Center, Medical Scientist Training Program, Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA.
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30
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Toledo JB, Abdelnour C, Weil RS, Ferreira D, Rodriguez-Porcel F, Pilotto A, Wyman-Chick KA, Grothe MJ, Kane JPM, Taylor A, Rongve A, Scholz S, Leverenz JB, Boeve BF, Aarsland D, McKeith IG, Lewis S, Leroi I, Taylor JP. Dementia with Lewy bodies: Impact of co-pathologies and implications for clinical trial design. Alzheimers Dement 2023; 19:318-332. [PMID: 36239924 PMCID: PMC9881193 DOI: 10.1002/alz.12814] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 08/29/2022] [Accepted: 09/09/2022] [Indexed: 02/01/2023]
Abstract
Dementia with Lewy bodies (DLB) is clinically defined by the presence of visual hallucinations, fluctuations, rapid eye movement (REM) sleep behavioral disorder, and parkinsonism. Neuropathologically, it is characterized by the presence of Lewy pathology. However, neuropathological studies have demonstrated the high prevalence of coexistent Alzheimer's disease, TAR DNA-binding protein 43 (TDP-43), and cerebrovascular pathologic cases. Due to their high prevalence and clinical impact on DLB individuals, clinical trials should account for these co-pathologies in their design and selection and the interpretation of biomarkers values and outcomes. Here we discuss the frequency of the different co-pathologies in DLB and their cross-sectional and longitudinal clinical impact. We then evaluate the utility and possible applications of disease-specific and disease-nonspecific biomarkers and how co-pathologies can impact these biomarkers. We propose a framework for integrating multi-modal biomarker fingerprints and step-wise selection and assessment of DLB individuals for clinical trials, monitoring target engagement, and interpreting outcomes in the setting of co-pathologies.
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Affiliation(s)
- Jon B Toledo
- Nantz National Alzheimer Center, Stanley H. Appel Department of Neurology, Houston Methodist Hospital, Houston, Texas, USA
| | - Carla Abdelnour
- Fundació ACE. Barcelona Alzheimer Treatment and Research Center, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Rimona S Weil
- Dementia Research Centre, Wellcome Centre for Human Neuroimaging, Movement Disorders Consortium, National Hospital for Neurology and Neurosurgery, University College London, London, UK
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer's Research, Karolinska Institutet, Stockholm, Sweden
| | | | - Andrea Pilotto
- Department of Clinical and Experimental Sciences, University of Brescia, Parkinson's Disease Rehabilitation Centre, FERB ONLUS-S, Isidoro Hospital, Trescore Balneario (BG), Italy
| | - Kathryn A Wyman-Chick
- HealthPartners Center for Memory and Aging and Struthers Parkinson's Center, Saint Paul, Minnesota, USA
| | - Michel J Grothe
- Instituto de Biomedicina de Sevilla (IBiS), Unidad de Trastornos del Movimiento, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Sevilla, Spain
| | - Joseph P M Kane
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Angela Taylor
- Lewy Body Dementia Association, Lilburn, Georgia, USA
| | - Arvid Rongve
- Department of Research and Innovation, Institute of Clinical Medicine (K1), Haugesund Hospital, Norway and The University of Bergen, Bergen, Norway
| | - Sonja Scholz
- Department of Neurology, National Institute of Neurological Disorders and Stroke, Neurodegenerative Diseases Research Unit, Johns Hopkins University Medical Center, Baltimore, Maryland, USA
| | - James B Leverenz
- Lou Ruvo Center for Brain Health, Cleveland Clinic, Cleveland, Ohio, USA
| | - Bradley F Boeve
- Department of Neurology and Center for Sleep Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Dag Aarsland
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK
| | - Ian G McKeith
- Newcastle University Translational and Clinical Research Institute (NUTCRI, Newcastle upon Tyne, UK
| | - Simon Lewis
- ForeFront Parkinson's Disease Research Clinic, School of Medical Sciences, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Iracema Leroi
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - John P Taylor
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
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31
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Khalil B, Chhangani D, Wren MC, Smith CL, Lee JH, Li X, Puttinger C, Tsai CW, Fortin G, Morderer D, Gao J, Liu F, Lim CK, Chen J, Chou CC, Croft CL, Gleixner AM, Donnelly CJ, Golde TE, Petrucelli L, Oskarsson B, Dickson DW, Zhang K, Shorter J, Yoshimura SH, Barmada SJ, Rincon-Limas DE, Rossoll W. Nuclear import receptors are recruited by FG-nucleoporins to rescue hallmarks of TDP-43 proteinopathy. Mol Neurodegener 2022; 17:80. [PMID: 36482422 PMCID: PMC9733332 DOI: 10.1186/s13024-022-00585-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 11/23/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Cytoplasmic mislocalization and aggregation of TAR DNA-binding protein-43 (TDP-43) is a hallmark of the amyotrophic lateral sclerosis and frontotemporal dementia (ALS/FTD) disease spectrum, causing both nuclear loss-of-function and cytoplasmic toxic gain-of-function phenotypes. While TDP-43 proteinopathy has been associated with defects in nucleocytoplasmic transport, this process is still poorly understood. Here we study the role of karyopherin-β1 (KPNB1) and other nuclear import receptors in regulating TDP-43 pathology. METHODS We used immunostaining, immunoprecipitation, biochemical and toxicity assays in cell lines, primary neuron and organotypic mouse brain slice cultures, to determine the impact of KPNB1 on the solubility, localization, and toxicity of pathological TDP-43 constructs. Postmortem patient brain and spinal cord tissue was stained to assess KPNB1 colocalization with TDP-43 inclusions. Turbidity assays were employed to study the dissolution and prevention of aggregation of recombinant TDP-43 fibrils in vitro. Fly models of TDP-43 proteinopathy were used to determine the effect of KPNB1 on their neurodegenerative phenotype in vivo. RESULTS We discovered that several members of the nuclear import receptor protein family can reduce the formation of pathological TDP-43 aggregates. Using KPNB1 as a model, we found that its activity depends on the prion-like C-terminal region of TDP-43, which mediates the co-aggregation with phenylalanine and glycine-rich nucleoporins (FG-Nups) such as Nup62. KPNB1 is recruited into these co-aggregates where it acts as a molecular chaperone that reverses aberrant phase transition of Nup62 and TDP-43. These findings are supported by the discovery that Nup62 and KPNB1 are also sequestered into pathological TDP-43 aggregates in ALS/FTD postmortem CNS tissue, and by the identification of the fly ortholog of KPNB1 as a strong protective modifier in Drosophila models of TDP-43 proteinopathy. Our results show that KPNB1 can rescue all hallmarks of TDP-43 pathology, by restoring its solubility and nuclear localization, and reducing neurodegeneration in cellular and animal models of ALS/FTD. CONCLUSION Our findings suggest a novel NLS-independent mechanism where, analogous to its canonical role in dissolving the diffusion barrier formed by FG-Nups in the nuclear pore, KPNB1 is recruited into TDP-43/FG-Nup co-aggregates present in TDP-43 proteinopathies and therapeutically reverses their deleterious phase transition and mislocalization, mitigating neurodegeneration.
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Affiliation(s)
- Bilal Khalil
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Deepak Chhangani
- Department of Neurology, McKnight Brain Institute, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, 32610, USA
| | - Melissa C Wren
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Courtney L Smith
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
- Mayo Clinic Graduate School of Biomedical Sciences, Neuroscience Track, Mayo Clinic, Jacksonville, FL, USA
| | - Jannifer H Lee
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
- Mayo Clinic Graduate School of Biomedical Sciences, Neuroscience Track, Mayo Clinic, Jacksonville, FL, USA
| | - Xingli Li
- Department of Neurology, University of Michigan, Ann Arbor, MI, 48109, USA
| | | | - Chih-Wei Tsai
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Gael Fortin
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Dmytro Morderer
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Junli Gao
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Feilin Liu
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Chun Kim Lim
- Graduate School of Biostudies, Kyoto University, Yoshida-konoe, Sakyo-ku, Kyoto, Japan
| | - Jingjiao Chen
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
- Geriatric Department, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Ching-Chieh Chou
- Department of Biology, Stanford University, Stanford, CA, 94305, USA
| | - Cara L Croft
- Department of Neuroscience, Center for Translational Research in Neurodegenerative Disease, University of Florida, Gainesville, FL, 32610, USA
- UK Dementia Research Institute at University College London, London, UK
| | - Amanda M Gleixner
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA
- LiveLikeLou Center for ALS Research, University of Pittsburgh Brain Institute, Pittsburgh, PA, 15261, USA
| | - Christopher J Donnelly
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA
- LiveLikeLou Center for ALS Research, University of Pittsburgh Brain Institute, Pittsburgh, PA, 15261, USA
| | - Todd E Golde
- Department of Neurology, McKnight Brain Institute, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, 32610, USA
- Department of Neuroscience, Center for Translational Research in Neurodegenerative Disease, University of Florida, Gainesville, FL, 32610, USA
| | | | | | - Dennis W Dickson
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Ke Zhang
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - James Shorter
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Shige H Yoshimura
- Graduate School of Biostudies, Kyoto University, Yoshida-konoe, Sakyo-ku, Kyoto, Japan
| | - Sami J Barmada
- Department of Neurology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Diego E Rincon-Limas
- Department of Neurology, McKnight Brain Institute, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, 32610, USA
- Department of Neuroscience, Center for Translational Research in Neurodegenerative Disease, University of Florida, Gainesville, FL, 32610, USA
- Genetics Institute, University of Florida, Gainesville, FL, 32610, USA
| | - Wilfried Rossoll
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA.
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Olm CA, Burke SE, Peterson C, Lee EB, Trojanowski JQ, Massimo L, Irwin DJ, Grossman M, Gee JC. Event-based modeling of T1-weighted MRI is related to pathology in frontotemporal lobar degeneration due to tau and TDP. Neuroimage Clin 2022; 37:103285. [PMID: 36508888 PMCID: PMC9763503 DOI: 10.1016/j.nicl.2022.103285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 12/05/2022] [Accepted: 12/06/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND In previous studies of patients with frontotemporal lobar degeneration due to tau (FTLD-tau) and FTLD due to TDP (FTLD-TDP), cortical volumes derived from T1-weighted MRI have been used to identify a sequence of volume loss according to arbitrary volumetric criteria. Event-based modeling (EBM) is a probabilistic, generative machine learning model that determines the characteristic sequence of changes, or "events", occurring during disease progression. EBM also estimates an individual patient's disease "stage" by identifying which events have already occurred. In the present study, we use an EBM analysis to derive stages of regional anatomic atrophy in FTLD-tau and FTLD-TDP, and validated these stages against pathologic burden. METHODS Sporadic autopsy-confirmed patients with FTLD-tau (N = 42) and FTLD-TDP (N = 21), and 167 healthy controls with available T1-weighted images were identified. A subset of patients had quantitative digital histopathology of cortex performed at autopsy (FTLD-tau = 30, FTLD-TDP = 17). MRI images were processed, producing regional measures of cortical volumes. K-means clustering was used to find cortical regions with similar amounts of GM volume changes (n = 5 clusters). EBM was used to determine the characteristic sequence of cortical atrophy of identified clusters in autopsy-confirmed FTLD-tau and FTLD-TDP, and estimate each patient's disease stage by cortical volume biomarkers. Linear regressions related pathologic burden to EBM-estimated disease stages. RESULTS EBM for cortical volume biomarkers generated statistically robust characteristic sequences of cortical atrophy in each group of patients. Cortical volume-based EBM-estimated disease stage was associated with pathologic burden in FTLD-tau (R2 = 0.16, p = 0.017) and FTLD-TDP (R2 = 0.51, p = 0.0008). CONCLUSIONS We provide evidence that EBM can identify sequences of pathologically-confirmed cortical atrophy in sporadic FTLD-tau and FTLD-TDP.
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Affiliation(s)
- Christopher A Olm
- Penn Image Computing and Science Laboratory, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States; Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
| | - Sarah E Burke
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
| | - Claire Peterson
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States; Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, United States.
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Lauren Massimo
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
| | - David J Irwin
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States; Digital Neuropathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
| | - James C Gee
- Penn Image Computing and Science Laboratory, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States.
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PolyGA targets the ER stress-adaptive response by impairing GRP75 function at the MAM in C9ORF72-ALS/FTD. Acta Neuropathol 2022; 144:939-966. [PMID: 36121477 PMCID: PMC9547809 DOI: 10.1007/s00401-022-02494-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 08/18/2022] [Accepted: 09/06/2022] [Indexed: 01/26/2023]
Abstract
ER stress signaling is linked to the pathophysiological and clinical disease manifestations in amyotrophic lateral sclerosis (ALS). Here, we have investigated ER stress-induced adaptive mechanisms in C9ORF72-ALS/FTD, focusing on uncovering early endogenous neuroprotective mechanisms and the crosstalk between pathological and adaptive responses in disease onset and progression. We provide evidence for the early onset of ER stress-mediated adaptive response in C9ORF72 patient-derived motoneurons (MNs), reflected by the elevated increase in GRP75 expression. These transiently increased GRP75 levels enhance ER-mitochondrial association, boosting mitochondrial function and sustaining cellular bioenergetics during the initial stage of disease, thereby counteracting early mitochondrial deficits. In C9orf72 rodent neurons, an abrupt reduction in GRP75 expression coincided with the onset of UPR, mitochondrial dysfunction and the emergence of PolyGA aggregates, which co-localize with GRP75. Similarly, the overexpression of PolyGA in WT cortical neurons or C9ORF72 patient-derived MNs led to the sequestration of GRP75 within PolyGA inclusions, resulting in mitochondrial calcium (Ca2+) uptake impairments. Corroborating these findings, we found that PolyGA aggregate-bearing human post-mortem C9ORF72 hippocampal dentate gyrus neurons not only display reduced expression of GRP75 but also exhibit GRP75 sequestration within inclusions. Sustaining high GRP75 expression in spinal C9orf72 rodent MNs specifically prevented ER stress, normalized mitochondrial function, abrogated PolyGA accumulation in spinal MNs, and ameliorated ALS-associated behavioral phenotype. Taken together, our results are in line with the notion that neurons in C9ORF72-ALS/FTD are particularly susceptible to ER-mitochondrial dysfunction and that GRP75 serves as a critical endogenous neuroprotective factor. This neuroprotective pathway, is eventually targeted by PolyGA, leading to GRP75 sequestration, and its subsequent loss of function at the MAM, compromising mitochondrial function and promoting disease onset.
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Chen HH, Hsu MH, Lee KH, Yang SY. Development of a 36-Channel Instrument for Assaying Biomarkers of Ultralow Concentrations Utilizing Immunomagnetic Reduction. ACS MEASUREMENT SCIENCE AU 2022; 2:485-492. [PMID: 36785659 PMCID: PMC9885996 DOI: 10.1021/acsmeasuresciau.2c00030] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 07/25/2022] [Accepted: 07/27/2022] [Indexed: 05/08/2023]
Abstract
With the demands of the high-throughput assay of biomarkers of ultralow concentrations in clinics, a 36-channel instrument utilizing immunomagnetic reduction (IMR) has been developed. The instrument involves the use of a high-T c superconducting-quantum-interference-device (SQUID) magnetometer to detect the signals due to the associations between target biomarker molecules and the antibody-functionalized magnetic nanoparticles in the reagent of IMR. In addition to illustrating the design and the measurements of the instrument, the assay characterizations for eight kinds of biomarkers related to neurodegenerative disease are investigated. Furthermore, the assay results among three independent instruments were compared. For an instrument, the channel-to-channel variations in measured concentrations of biomarkers are within a range of 2.09 to 5.62%. The assay accuracy was found to be from 99 to 103.7%. The p values in measured concentrations for any of the tested biomarkers were higher than 0.05 among the three instruments. The results demonstrate high throughput, high stability, and high consistency for the SQUID-IMR instruments.
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35
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McKenna MC, Lope J, Tan EL, Bede P. Pre-symptomatic radiological changes in frontotemporal dementia: propagation characteristics, predictive value and implications for clinical trials. Brain Imaging Behav 2022; 16:2755-2767. [PMID: 35920960 DOI: 10.1007/s11682-022-00711-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/19/2022] [Indexed: 11/25/2022]
Abstract
Computational imaging and quantitative biomarkers offer invaluable insights in the pre-symptomatic phase of neurodegenerative conditions several years before clinical manifestation. In recent years, there has been a focused effort to characterize pre-symptomatic cerebral changes in familial frontotemporal dementias using computational imaging. Accordingly, a systematic literature review was conducted of original articles investigating pre-symptomatic imaging changes in frontotemporal dementia focusing on study design, imaging modalities, data interpretation, control cohorts and key findings. The review is limited to the most common genotypes: chromosome 9 open reading frame 72 (C9orf72), progranulin (GRN), or microtubule-associated protein tau (MAPT) genotypes. Sixty-eight studies were identified with a median sample size of 15 (3-141) per genotype. Only a minority of studies were longitudinal (28%; 19/68) with a median follow-up of 2 (1-8) years. MRI (97%; 66/68) was the most common imaging modality, and primarily grey matter analyses were conducted (75%; 19/68). Some studies used multimodal analyses 44% (30/68). Genotype-associated imaging signatures are presented, innovative study designs are highlighted, common methodological shortcomings are discussed and lessons for future studies are outlined. Emerging academic observations have potential clinical implications for expediting the diagnosis, tracking disease progression and optimising the timing of pharmaceutical trials.
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Affiliation(s)
- Mary Clare McKenna
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Ireland.,Department of Neurology, St James's Hospital, Dublin, Ireland
| | - Jasmin Lope
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Ee Ling Tan
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Ireland. .,Department of Neurology, St James's Hospital, Dublin, Ireland.
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36
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Matti N, Javanshiri K, Haglund M, Saenz-Sardá X, Englund E. Locus Coeruleus Degeneration Differs Between Frontotemporal Lobar Degeneration Subtypes. J Alzheimers Dis 2022; 89:463-471. [PMID: 35871340 PMCID: PMC9535600 DOI: 10.3233/jad-220276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Background: There are few studies on the locus coeruleus (LC) in frontotemporal lobar degeneration (FTLD) and the potential differences in the LC related to the underlying proteinopathy. Objective: The aim of this study was to investigate the LC in FTLD subgroups. Methods: Neuropathological cases diagnosed with FTLD were included. The subgroups consisted of FTLD with tau, transactive response DNA-binding protein 43 (TDP) and fused in sarcoma (FUS). Micro- and macroscopical degeneration of the LC were assessed with respect to the number of neurons and the degree of depigmentation. A group of cognitively healthy subjects and a group with vascular cognitive impairment (VCI) served as comparison groups. Results: A total of 85 FTLD cases were included, of which 44 had FTLD-TDP, 38 had FTLD-tau, and three had FTLD-FUS. The groups were compared with 25 VCI cases and 41 cognitively healthy control cases (N = 151 for the entire study). All FTLD groups had a statistically higher microscopical degeneration of the LC compared to the controls, but the FTLD-tau group had greater micro- and macroscopical degeneration than the FTLD-TDP group. Age correlated positively with the LC score in the FTLD-tau group, but not in the FTLD-TDP group. Conclusion: A greater microscopical degeneration of the LC was observed in all FTLD cases compared to healthy controls and those with VCI. The LC degeneration was more severe in FTLD-tau than in FTLD-TDP. The macroscopically differential degeneration of the LC in FTLD subgroups may facilitate differential diagnostics, potentially with imaging.
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Affiliation(s)
- Nathalie Matti
- Division of Pathology, Department of Clinical Sciences Lund, Lund University, Sweden
| | - Keivan Javanshiri
- Division of Pathology, Department of Clinical Sciences Lund, Lund University, Sweden
| | - Mattias Haglund
- Division of Pathology, Department of Clinical Sciences Lund, Lund University, Sweden
| | - Xavier Saenz-Sardá
- Division of Pathology, Department of Clinical Sciences Lund, Lund University, Sweden
| | - Elisabet Englund
- Division of Pathology, Department of Clinical Sciences Lund, Lund University, Sweden
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37
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Arafuka S, Fujishiro H, Iritani S, Torii Y, Miwa A, Yabata H, Sekiguchi H, Habuchi C, Kawashima K, Yoshida M, Iwasaki Y, Ozaki N. Striatal 123 I-2β-carbomethoxy-3b-(4-iodophenyl)-N-(3-fluoropropyl)-nortropane single-photon emission computed tomography demonstrates nigral degeneration in the early stage of behavioural variant frontotemporal dementia: an autopsy case with frontotemporal lobar degeneration with trans-activation response DNA protein 43 type B. Psychogeriatrics 2022; 22:580-585. [PMID: 35537713 DOI: 10.1111/psyg.12842] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 04/07/2022] [Accepted: 04/12/2022] [Indexed: 11/28/2022]
Affiliation(s)
- Shusei Arafuka
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan.,Department of Neuropathology, Institute for Medical Science of Ageing, Aichi Medical University, Nagakute, Japan.,Moriyama General Mental Hospital, Nagoya, Japan
| | - Hiroshige Fujishiro
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan.,Moriyama General Mental Hospital, Nagoya, Japan
| | - Shuji Iritani
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan.,Moriyama General Mental Hospital, Nagoya, Japan.,Okehazama Hospital, Brain Research Institute, Toyoake, Japan
| | - Youta Torii
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan.,Moriyama General Mental Hospital, Nagoya, Japan
| | - Ayako Miwa
- Moriyama General Mental Hospital, Nagoya, Japan
| | - Hiroyuki Yabata
- Department of Neuropathology, Institute for Medical Science of Ageing, Aichi Medical University, Nagakute, Japan
| | - Hirotaka Sekiguchi
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan.,Okehazama Hospital, Brain Research Institute, Toyoake, Japan
| | - Chikako Habuchi
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan.,Aichi Psychiatric Medical Centre, Nagoya, Japan
| | | | - Mari Yoshida
- Department of Neuropathology, Institute for Medical Science of Ageing, Aichi Medical University, Nagakute, Japan
| | - Yasushi Iwasaki
- Department of Neuropathology, Institute for Medical Science of Ageing, Aichi Medical University, Nagakute, Japan
| | - Norio Ozaki
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
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38
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Keszycki R, Jamshidi P, Kawles A, Minogue G, Flanagan ME, Zaccard CR, Mesulam MM, Gefen T, Geula C. Propagation of TDP-43 proteinopathy in neurodegenerative disorders. Neural Regen Res 2022; 17:1498-1500. [PMID: 34916432 PMCID: PMC8771119 DOI: 10.4103/1673-5374.330609] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 07/23/2021] [Accepted: 08/28/2021] [Indexed: 11/04/2022] Open
Affiliation(s)
- Rachel Keszycki
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Pouya Jamshidi
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Allegra Kawles
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Grace Minogue
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Margaret E. Flanagan
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Colleen R. Zaccard
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - M.-Marsel Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Tamar Gefen
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Changiz Geula
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Department of Cell and Developmental Biology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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39
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Tarutani A, Adachi T, Akatsu H, Hashizume Y, Hasegawa K, Saito Y, Robinson AC, Mann DMA, Yoshida M, Murayama S, Hasegawa M. Ultrastructural and biochemical classification of pathogenic tau, α-synuclein and TDP-43. Acta Neuropathol 2022; 143:613-640. [PMID: 35513543 PMCID: PMC9107452 DOI: 10.1007/s00401-022-02426-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 04/12/2022] [Accepted: 04/23/2022] [Indexed: 12/20/2022]
Abstract
Intracellular accumulation of abnormal proteins with conformational changes is the defining neuropathological feature of neurodegenerative diseases. The pathogenic proteins that accumulate in patients' brains adopt an amyloid-like fibrous structure and exhibit various ultrastructural features. The biochemical analysis of pathogenic proteins in sarkosyl-insoluble fractions extracted from patients' brains also shows disease-specific features. Intriguingly, these ultrastructural and biochemical features are common within the same disease group. These differences among the pathogenic proteins extracted from patients' brains have important implications for definitive diagnosis of the disease, and also suggest the existence of pathogenic protein strains that contribute to the heterogeneity of pathogenesis in neurodegenerative diseases. Recent experimental evidence has shown that prion-like propagation of these pathogenic proteins from host cells to recipient cells underlies the onset and progression of neurodegenerative diseases. The reproduction of the pathological features that characterize each disease in cellular and animal models of prion-like propagation also implies that the structural differences in the pathogenic proteins are inherited in a prion-like manner. In this review, we summarize the ultrastructural and biochemical features of pathogenic proteins extracted from the brains of patients with neurodegenerative diseases that accumulate abnormal forms of tau, α-synuclein, and TDP-43, and we discuss how these disease-specific properties are maintained in the brain, based on recent experimental insights.
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Affiliation(s)
- Airi Tarutani
- Department of Brain and Neuroscience, Tokyo Metropolitan Institute of Medical Science, 2-1-6 Kamikitazawa, Setagaya-ku, Tokyo, 156-8506, Japan
| | - Tadashi Adachi
- Division of Neuropathology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Tottori, 683-8503, Japan
| | - Hiroyasu Akatsu
- Department of Neuropathology, Choju Medical Institute, Fukushimura Hospital, Aichi, 441-8124, Japan
- Department of Community-Based Medical Education, Nagoya City University Graduate School of Medical Sciences, Aichi, 467-8601, Japan
| | - Yoshio Hashizume
- Department of Neuropathology, Choju Medical Institute, Fukushimura Hospital, Aichi, 441-8124, Japan
| | - Kazuko Hasegawa
- Division of Neurology, National Hospital Organization, Sagamihara National Hospital, Kanagawa, 252-0392, Japan
| | - Yuko Saito
- Department of Neuropathology, Tokyo Metropolitan Institute of Gerontology, Tokyo, 173-0015, Japan
- Department of Pathology and Laboratory Medicine, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, 187-8551, Japan
| | - Andrew C Robinson
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience and Experimental Psychology, Salford Royal Hospital, The University of Manchester, Salford, M6 8HD, UK
| | - David M A Mann
- Faculty of Biology, Medicine and Health, School of Biological Sciences, Division of Neuroscience and Experimental Psychology, Salford Royal Hospital, The University of Manchester, Salford, M6 8HD, UK
| | - Mari Yoshida
- Department of Neuropathology, Institute for Medical Science of Aging, Aichi Medical University, Aichi, 480-1195, Japan
| | - Shigeo Murayama
- Department of Neuropathology, Tokyo Metropolitan Institute of Gerontology, Tokyo, 173-0015, Japan
- Brain Bank for Neurodevelopmental, Neurological and Psychiatric Disorders, United Graduate School of Child Development, Osaka University, Osaka, 565-0871, Japan
| | - Masato Hasegawa
- Department of Brain and Neuroscience, Tokyo Metropolitan Institute of Medical Science, 2-1-6 Kamikitazawa, Setagaya-ku, Tokyo, 156-8506, Japan.
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40
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Chen M, Ohm DT, Phillips JS, McMillan CT, Capp N, Peterson C, Xie E, Wolk DA, Trojanowski JQ, Lee EB, Gee J, Grossman M, Irwin DJ. Divergent Histopathological Networks of Frontotemporal Degeneration Proteinopathy Subytpes. J Neurosci 2022; 42:3868-3877. [PMID: 35318284 PMCID: PMC9087810 DOI: 10.1523/jneurosci.2061-21.2022] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 02/22/2022] [Accepted: 03/01/2022] [Indexed: 11/21/2022] Open
Abstract
Network analyses inform complex systems such as human brain connectivity, but this approach is seldom applied to gold-standard histopathology. Here, we use two complimentary computational approaches to model microscopic progression of the main subtypes of tauopathy versus TDP-43 proteinopathy in the human brain. Digital histopathology measures were obtained in up to 13 gray matter (GM) and adjacent white matter (WM) cortical brain regions sampled from 53 tauopathy and 66 TDP-43 proteinopathy autopsy patients. First, we constructed a weighted non-directed graph for each group, where nodes are defined as GM and WM regions sampled and edges in the graph are weighted using the group-level Pearson's correlation coefficient for each pairwise node comparison. Additionally, we performed mediation analyses to test mediation effects of WM pathology between anterior frontotemporal and posterior parietal GM nodes. We find greater correlation (i.e., edges) between GM and WM node pairs in tauopathies compared with TDP-43 proteinopathies. Moreover, WM pathology strongly correlated with a graph metric of pathology spread (i.e., node-strength) in tauopathies (r = 0.60, p < 0.03) but not in TDP-43 proteinopathies (r = 0.03, p = 0.9). Finally, we found mediation effects for WM pathology on the association between anterior and posterior GM pathology in FTLD-Tau but not in FTLD-TDP. These data suggest distinct tau and TDP-43 proteinopathies may have divergent patterns of cellular propagation in GM and WM. More specifically, axonal spread may be more influential in FTLD-Tau progression. Network analyses of digital histopathological measurements can inform models of disease progression of cellular degeneration in the human brain.SIGNIFICANCE STATEMENT In this study, we uniquely perform two complimentary computational approaches to model and contrast microscopic disease progression between common frontotemporal lobar degeneration (FTLD) proteinopathy subtypes with similar clinical syndromes during life. Our models suggest white matter (WM) pathology influences cortical spread of disease in tauopathies that is less evident in TDP-43 proteinopathies. These data support the hypothesis that there are neuropathologic signatures of cellular degeneration within neurocognitive networks for specific protienopathies. These distinctive patterns of cellular pathology can guide future efforts to develop tissue-sensitive imaging and biological markers with diagnostic and prognostic utility for FTLD. Moreover, our novel computational approach can be used in future work to model various neurodegenerative disorders with mixed proteinopathy within the human brain connectome.
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Affiliation(s)
- Min Chen
- Penn Image Computing and Science Lab, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Daniel T Ohm
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Jeffrey S Phillips
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Corey T McMillan
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Noah Capp
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Claire Peterson
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Emily Xie
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - David A Wolk
- Alzheimer's Disease Research Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Edward B Lee
- Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - James Gee
- Penn Image Computing and Science Lab, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - David J Irwin
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
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41
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Liao YZ, Ma J, Dou JZ. The Role of TDP-43 in Neurodegenerative Disease. Mol Neurobiol 2022; 59:4223-4241. [DOI: 10.1007/s12035-022-02847-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 04/23/2022] [Indexed: 12/14/2022]
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42
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McKenna MC, Li Hi Shing S, Murad A, Lope J, Hardiman O, Hutchinson S, Bede P. Focal thalamus pathology in frontotemporal dementia: Phenotype-associated thalamic profiles. J Neurol Sci 2022; 436:120221. [DOI: 10.1016/j.jns.2022.120221] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 02/21/2022] [Accepted: 03/03/2022] [Indexed: 11/25/2022]
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43
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Burke SE, Phillips JS, Olm CA, Peterson CS, Cook PA, Gee JC, Lee EB, Trojanowski JQ, Massimo L, Irwin DJ, Grossman M. Phases of volume loss in patients with known frontotemporal lobar degeneration spectrum pathology. Neurobiol Aging 2022; 113:95-107. [PMID: 35325815 PMCID: PMC9241163 DOI: 10.1016/j.neurobiolaging.2022.02.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 02/14/2022] [Accepted: 02/16/2022] [Indexed: 10/19/2022]
Abstract
Frontotemporal lobar degeneration (FTLD) includes clinically similar FTLD-tau or FTLD-TDP proteinopathies which lack in vivo markers for accurate antemortem diagnosis. To identify early distinguishing sites of cortical atrophy between groups, we retrospectively analyzed in vivo volumetric MRI from 42 FTLD-Tau and 21 FTLD-TDP patients and validated these findings with postmortem measures of pathological burden. Our frequency-based staging model revealed distinct loci of maximal early cortical atrophy in each group, including dorsolateral and medial frontal regions in FTLD-Tau and ventral frontal and anterior temporal regions in FTLD-TDP. Sørenson-Dice calculations between proteinopathy groups showed little overlap of phases. Conversely, within-group subtypes showed good overlap between 3R- and 4R-tauopathies, and between TDP-43 Types A and C for early regions with subtle divergence between subtypes in subsequent phases of atrophy. Postmortem validation found an association of imaging phases with pathologic burden within FTLD-tau (F(4, 238) = 17.44, p < 0.001) and FTLD-TDP (F(4,245) = 42.32, p < 0.001). These results suggest that relatively early, distinct markers of atrophy may distinguish FTLD proteinopathies during life.
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Affiliation(s)
- Sarah E Burke
- Department of Neurology, Penn Frontotemporal Degeneration Center, Philadelphia, PA, USA..
| | - Jeffrey S Phillips
- Department of Neurology, Penn Frontotemporal Degeneration Center, Philadelphia, PA, USA
| | - Christopher A Olm
- Department of Neurology, Penn Frontotemporal Degeneration Center, Philadelphia, PA, USA.; Department of Radiology, Penn Image Computing & Science Lab (PICSL), Philadelphia, PA, USA
| | - Claire S Peterson
- Department of Neurology, Penn Frontotemporal Degeneration Center, Philadelphia, PA, USA.; Digital Pathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Phillip A Cook
- Department of Radiology, Penn Image Computing & Science Lab (PICSL), Philadelphia, PA, USA
| | - James C Gee
- Department of Radiology, Penn Image Computing & Science Lab (PICSL), Philadelphia, PA, USA
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, Center of Neurodegenerative Disease Research, Philadelphia, PA, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, Center of Neurodegenerative Disease Research, Philadelphia, PA, USA
| | - Lauren Massimo
- Department of Neurology, Penn Frontotemporal Degeneration Center, Philadelphia, PA, USA
| | - David J Irwin
- Department of Neurology, Penn Frontotemporal Degeneration Center, Philadelphia, PA, USA.; Digital Pathology Laboratory, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Murray Grossman
- Department of Neurology, Penn Frontotemporal Degeneration Center, Philadelphia, PA, USA
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44
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Cervantes González A, Irwin DJ, Alcolea D, McMillan CT, Chen-Plotkin A, Wolk D, Sirisi S, Dols-Icardo O, Querol-Vilaseca M, Illán-Gala I, Santos-Santos MA, Fortea J, Lee EB, Trojanowski JQ, Grossman M, Lleó A, Belbin O. Multimarker synaptic protein cerebrospinal fluid panels reflect TDP-43 pathology and cognitive performance in a pathological cohort of frontotemporal lobar degeneration. Mol Neurodegener 2022; 17:29. [PMID: 35395770 PMCID: PMC8991834 DOI: 10.1186/s13024-022-00534-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 03/30/2022] [Indexed: 12/13/2022] Open
Abstract
Background Synapse degeneration is an early event in pathological frontotemporal lobar degeneration (FTLD). Consequently, a surrogate marker of synapse loss could be used to monitor early pathologic changes in patients with underlying FTLD. The aim of this study was to evaluate the relationship of antemortem cerebrospinal fluid (CSF) levels of 8 synaptic proteins with postmortem global tau and TDP-43 burden and cognitive performance and to assess their diagnostic capacity in a neuropathological FTLD cohort. Methods We included patients with a neuropathological confirmation of FTLD-Tau (n = 24, mean age-at-CSF 67 years ± 11), FTLD-TDP (n = 25, 66 years ± 9) or AD (n = 25, 73 years ± 6) as well as cognitively normal controls (n = 35, 69 years ± 7) from the Penn FTD Center and ADRC. We used a semi-quantitative measure of tau and TDP-43 inclusions to quantify pathological burden across 16 brain regions. Statistical methods included Spearman rank correlations, one-way analysis of covariance, ordinal regression, step-wise multiple linear regression and receiver-operating characteristic curves. Result CSF calsyntenin-1 and neurexin-2a were correlated in all patient groups (rs = .55 to .88). In FTLD-TDP, we observed low antemortem CSF levels of calsyntenin-1 and neurexin-2a compared to AD (.72-fold, p = .001, .77-fold, p = .04, respectively) and controls (.80-fold, p = .02, .78-fold, p = .02, respectively), which were inversely associated with post-mortem global TDP-43 burden (regression r2 = .56, p = .007 and r2 = .57, p = .006, respectively). A multimarker panel including calsyntenin-1 was associated with TDP-43 burden (r2 = .69, p = .003) and MMSE score (r2 = .19, p = .03) in FTLD. A second multimarker synaptic panel, also including calsyntenin-1, was associated with MMSE score in FTLD-tau (r2 = .49, p = .04) and improved diagnostic performance to discriminate FTLD-Tau and FTLD-TDP neuropathologic subtypes (AUC = .83). Conclusion These synaptic panels have potential in the differential diagnosis of FTLD neuropathologic subtypes and as surrogate markers of cognitive performance in future clinical trials targeting TDP-43 or tau. Supplementary Information The online version contains supplementary material available at 10.1186/s13024-022-00534-y.
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Affiliation(s)
- Alba Cervantes González
- Hospital de La Santa Creu I Sant Pau, Universitat Autonoma de Barcelona, Barcelona, Spain.,Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain.,Memory Unit and Biomedical Research Institute, IIB Sant Pau, c/Sant Quintí 77, 08041, Barcelona, Spain
| | - David J Irwin
- Penn FTD Center, Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel Alcolea
- Hospital de La Santa Creu I Sant Pau, Universitat Autonoma de Barcelona, Barcelona, Spain.,Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain.,Memory Unit and Biomedical Research Institute, IIB Sant Pau, c/Sant Quintí 77, 08041, Barcelona, Spain
| | - Corey T McMillan
- Penn FTD Center, Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Alice Chen-Plotkin
- Penn Alzheimer's Disease Research Center, Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - David Wolk
- Penn Alzheimer's Disease Research Center, Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Sònia Sirisi
- Hospital de La Santa Creu I Sant Pau, Universitat Autonoma de Barcelona, Barcelona, Spain.,Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain.,Memory Unit and Biomedical Research Institute, IIB Sant Pau, c/Sant Quintí 77, 08041, Barcelona, Spain
| | - Oriol Dols-Icardo
- Hospital de La Santa Creu I Sant Pau, Universitat Autonoma de Barcelona, Barcelona, Spain.,Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain.,Memory Unit and Biomedical Research Institute, IIB Sant Pau, c/Sant Quintí 77, 08041, Barcelona, Spain
| | - Marta Querol-Vilaseca
- Hospital de La Santa Creu I Sant Pau, Universitat Autonoma de Barcelona, Barcelona, Spain.,Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain.,Memory Unit and Biomedical Research Institute, IIB Sant Pau, c/Sant Quintí 77, 08041, Barcelona, Spain
| | - Ignacio Illán-Gala
- Hospital de La Santa Creu I Sant Pau, Universitat Autonoma de Barcelona, Barcelona, Spain.,Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain.,Memory Unit and Biomedical Research Institute, IIB Sant Pau, c/Sant Quintí 77, 08041, Barcelona, Spain
| | - Miguel Angel Santos-Santos
- Hospital de La Santa Creu I Sant Pau, Universitat Autonoma de Barcelona, Barcelona, Spain.,Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain.,Memory Unit and Biomedical Research Institute, IIB Sant Pau, c/Sant Quintí 77, 08041, Barcelona, Spain
| | - Juan Fortea
- Hospital de La Santa Creu I Sant Pau, Universitat Autonoma de Barcelona, Barcelona, Spain.,Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain.,Memory Unit and Biomedical Research Institute, IIB Sant Pau, c/Sant Quintí 77, 08041, Barcelona, Spain
| | - Edward B Lee
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Murray Grossman
- Penn FTD Center, Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Alberto Lleó
- Hospital de La Santa Creu I Sant Pau, Universitat Autonoma de Barcelona, Barcelona, Spain.,Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain.,Memory Unit and Biomedical Research Institute, IIB Sant Pau, c/Sant Quintí 77, 08041, Barcelona, Spain
| | - Olivia Belbin
- Hospital de La Santa Creu I Sant Pau, Universitat Autonoma de Barcelona, Barcelona, Spain. .,Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain. .,Memory Unit and Biomedical Research Institute, IIB Sant Pau, c/Sant Quintí 77, 08041, Barcelona, Spain.
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45
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Lee EB. John Q. Trojanowski: neuropathology icon. Acta Neuropathol 2022; 143:419-425. [PMID: 35316400 DOI: 10.1007/s00401-022-02413-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 03/13/2022] [Accepted: 03/14/2022] [Indexed: 12/29/2022]
Affiliation(s)
- Edward B Lee
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.
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46
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Abstract
Neurodegenerative diseases are a pathologically, clinically and genetically diverse group of disorders without effective disease-modifying therapies. Pathologically, these disorders are characterised by disease-specific protein aggregates in neurons and/or glia and referred to as proteinopathies. Many neurodegenerative diseases show pathological overlap with the same abnormally deposited protein occurring in anatomically distinct regions, which give rise to specific patterns of cognitive and motor clinical phenotypes. Sequential distribution patterns of protein inclusions throughout the brain have been described. Rather than occurring in isolation, it is increasingly recognised that combinations of one or more proteinopathies with or without cerebrovascular disease frequently occur in individuals with neurodegenerative diseases. In addition, complex constellations of ageing-related and incidental pathologies associated with tau, TDP-43, Aβ, α-synuclein deposition have been commonly reported in longitudinal ageing studies. This review provides an overview of current classification of neurodegenerative and age-related pathologies and presents the spectrum and complexity of mixed pathologies in community-based, longitudinal ageing studies, in major proteinopathies, and genetic conditions. Mixed pathologies are commonly reported in individuals >65 years with and without cognitive impairment; however, they are increasingly recognised in younger individuals (<65 years). Mixed pathologies are thought to lower the threshold for developing cognitive impairment and dementia. Hereditary neurodegenerative diseases also show a diverse range of mixed pathologies beyond the proteinopathy primarily linked to the genetic abnormality. Cases with mixed pathologies might show a different clinical course, which has prognostic relevance and obvious implications for biomarker and therapy development, and stratifying patients for clinical trials.
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47
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Signature laminar distributions of pathology in frontotemporal lobar degeneration. Acta Neuropathol 2022; 143:363-382. [PMID: 34997851 PMCID: PMC8858288 DOI: 10.1007/s00401-021-02402-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 12/11/2021] [Accepted: 12/28/2021] [Indexed: 12/24/2022]
Abstract
Frontotemporal lobar degeneration (FTLD) with either tau (FTLD-tau) or TDP-43 (FTLD-TDP) inclusions are distinct proteinopathies that frequently cause similar frontotemporal dementia (FTD) clinical syndromes. FTD syndromes often display macroscopic signatures of neurodegeneration at the level of regions and networks, but it is unclear if subregional laminar pathology display patterns unique to proteinopathy or clinical syndrome. We hypothesized that FTLD-tau and FTLD-TDP accumulate pathology in relatively distinct cortical layers independent of clinical syndrome, with greater involvement of lower layers in FTLD-tau. The current study examined 170 patients with either FTLD-tau (n = 73) or FTLD-TDP (n = 97) spanning dementia and motor phenotypes in the FTD spectrum. We digitally measured the percent area occupied by tau and TDP-43 pathology in upper layers (I-III), lower layers (IV-VI), and juxtacortical white matter (WM) from isocortical regions in both hemispheres where available. Linear mixed-effects models compared ratios of upper to lower layer pathology between FTLD groups and investigated relationships with regions, WM pathology, and global cognitive impairment while adjusting for demographics. We found lower ratios of layer pathology in FTLD-tau and higher ratios of layer pathology in FTLD-TDP, reflecting lower layer-predominant tau pathology and upper layer-predominant TDP-43 pathology, respectively (p < 0.001). FTLD-tau displayed lower ratios of layer pathology related to greater WM tau pathology (p = 0.002) and to earlier involved/severe pathology regions (p = 0.007). In contrast, FTLD-TDP displayed higher ratios of layer pathology not related to either WM pathology or regional severity. Greater cognitive impairment was associated with higher ratios of layer pathology in FTLD-tau (p = 0.018), but was not related to ratios of layer pathology in FTLD-TDP. Lower layer-predominant tau pathology and upper layer-predominant TDP-43 pathology are proteinopathy-specific, regardless of clinical syndromes or regional networks that define these syndromes. Thus, patterns of laminar change may provide a useful anatomical framework for investigating how degeneration of select cells and corresponding laminar circuits influence large-scale networks and clinical symptomology in FTLD.
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48
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Hasan R, Humphrey J, Bettencourt C, Newcombe J, Lashley T, Fratta P, Raj T. Transcriptomic analysis of frontotemporal lobar degeneration with TDP-43 pathology reveals cellular alterations across multiple brain regions. Acta Neuropathol 2022; 143:383-401. [PMID: 34961893 DOI: 10.1007/s00401-021-02399-9/figures/4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 12/07/2021] [Accepted: 12/10/2021] [Indexed: 05/23/2023]
Abstract
Frontotemporal lobar degeneration (FTLD) is a group of heterogeneous neurodegenerative disorders affecting the frontal and temporal lobes of the brain. Nuclear loss and cytoplasmic aggregation of the RNA-binding protein TDP-43 represents the major FTLD pathology, known as FTLD-TDP. To date, there is no effective treatment for FTLD-TDP due to an incomplete understanding of the molecular mechanisms underlying disease development. Here we compared postmortem tissue RNA-seq transcriptomes from the frontal cortex, temporal cortex, and cerebellum between 28 controls and 30 FTLD-TDP patients to profile changes in cell-type composition, gene expression and transcript usage. We observed downregulation of neuronal markers in all three regions of the brain, accompanied by upregulation of microglia, astrocytes, and oligodendrocytes, as well as endothelial cells and pericytes, suggesting shifts in both immune activation and within the vasculature. We validate our estimates of neuronal loss using neuropathological atrophy scores and show that neuronal loss in the cortex can be mainly attributed to excitatory neurons, and that increases in microglial and endothelial cell expression are highly correlated with neuronal loss. All our analyses identified a strong involvement of the cerebellum in the neurodegenerative process of FTLD-TDP. Altogether, our data provides a detailed landscape of gene expression alterations to help unravel relevant disease mechanisms in FTLD.
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Affiliation(s)
- Rahat Hasan
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jack Humphrey
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Conceição Bettencourt
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
| | - Jia Newcombe
- NeuroResource, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, London, UK
| | - Tammaryn Lashley
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
| | - Pietro Fratta
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Towfique Raj
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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49
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Hasan R, Humphrey J, Bettencourt C, Newcombe J, Lashley T, Fratta P, Raj T. Transcriptomic analysis of frontotemporal lobar degeneration with TDP-43 pathology reveals cellular alterations across multiple brain regions. Acta Neuropathol 2022; 143:383-401. [PMID: 34961893 PMCID: PMC10725322 DOI: 10.1007/s00401-021-02399-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 12/07/2021] [Accepted: 12/10/2021] [Indexed: 12/28/2022]
Abstract
Frontotemporal lobar degeneration (FTLD) is a group of heterogeneous neurodegenerative disorders affecting the frontal and temporal lobes of the brain. Nuclear loss and cytoplasmic aggregation of the RNA-binding protein TDP-43 represents the major FTLD pathology, known as FTLD-TDP. To date, there is no effective treatment for FTLD-TDP due to an incomplete understanding of the molecular mechanisms underlying disease development. Here we compared postmortem tissue RNA-seq transcriptomes from the frontal cortex, temporal cortex, and cerebellum between 28 controls and 30 FTLD-TDP patients to profile changes in cell-type composition, gene expression and transcript usage. We observed downregulation of neuronal markers in all three regions of the brain, accompanied by upregulation of microglia, astrocytes, and oligodendrocytes, as well as endothelial cells and pericytes, suggesting shifts in both immune activation and within the vasculature. We validate our estimates of neuronal loss using neuropathological atrophy scores and show that neuronal loss in the cortex can be mainly attributed to excitatory neurons, and that increases in microglial and endothelial cell expression are highly correlated with neuronal loss. All our analyses identified a strong involvement of the cerebellum in the neurodegenerative process of FTLD-TDP. Altogether, our data provides a detailed landscape of gene expression alterations to help unravel relevant disease mechanisms in FTLD.
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Affiliation(s)
- Rahat Hasan
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jack Humphrey
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Conceição Bettencourt
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
| | - Jia Newcombe
- NeuroResource, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, London, UK
| | - Tammaryn Lashley
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
| | - Pietro Fratta
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Towfique Raj
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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50
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Shafiei G, Bazinet V, Dadar M, Manera AL, Collins DL, Dagher A, Borroni B, Sanchez-Valle R, Moreno F, Laforce R, Graff C, Synofzik M, Galimberti D, Rowe JB, Masellis M, Tartaglia MC, Finger E, Vandenberghe R, de Mendonça A, Tagliavini F, Santana I, Butler C, Gerhard A, Danek A, Levin J, Otto M, Sorbi S, Jiskoot LC, Seelaar H, van Swieten JC, Rohrer JD, Misic B, Ducharme S. Network structure and transcriptomic vulnerability shape atrophy in frontotemporal dementia. Brain 2022; 146:321-336. [PMID: 35188955 PMCID: PMC9825569 DOI: 10.1093/brain/awac069] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 12/14/2021] [Accepted: 01/30/2022] [Indexed: 01/13/2023] Open
Abstract
Connections among brain regions allow pathological perturbations to spread from a single source region to multiple regions. Patterns of neurodegeneration in multiple diseases, including behavioural variant of frontotemporal dementia (bvFTD), resemble the large-scale functional systems, but how bvFTD-related atrophy patterns relate to structural network organization remains unknown. Here we investigate whether neurodegeneration patterns in sporadic and genetic bvFTD are conditioned by connectome architecture. Regional atrophy patterns were estimated in both genetic bvFTD (75 patients, 247 controls) and sporadic bvFTD (70 patients, 123 controls). First, we identified distributed atrophy patterns in bvFTD, mainly targeting areas associated with the limbic intrinsic network and insular cytoarchitectonic class. Regional atrophy was significantly correlated with atrophy of structurally- and functionally-connected neighbours, demonstrating that network structure shapes atrophy patterns. The anterior insula was identified as the predominant group epicentre of brain atrophy using data-driven and simulation-based methods, with some secondary regions in frontal ventromedial and antero-medial temporal areas. We found that FTD-related genes, namely C9orf72 and TARDBP, confer local transcriptomic vulnerability to the disease, modulating the propagation of pathology through the connectome. Collectively, our results demonstrate that atrophy patterns in sporadic and genetic bvFTD are jointly shaped by global connectome architecture and local transcriptomic vulnerability, providing an explanation as to how heterogenous pathological entities can lead to the same clinical syndrome.
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Affiliation(s)
| | | | - Mahsa Dadar
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada,Radiology and Nuclear Medicine, Laval University, Quebec City, QC, Canada
| | - Ana L Manera
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - D Louis Collins
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Alain Dagher
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Barbara Borroni
- Centre for Neurodegenerative Disorders, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Raquel Sanchez-Valle
- Alzheimer’s Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, Institut d’Investigacións Biomèdiques August Pi I Sunyer, University of Barcelona, Barcelona, Spain
| | - Fermin Moreno
- Cognitive Disorders Unit, Department of Neurology, Donostia University Hospital, San Sebastian, Gipuzkoa, Spain,Neuroscience Area, Biodonostia Health Research Institute, San Sebastian, Gipuzkoa, Spain
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, and Faculté de Médecine, Université Laval, Quebec, QC, Canada
| | - Caroline Graff
- Department of Geriatric Medicine, Karolinska University Hospital-Huddinge, Stockholm, Sweden,Unit for Hereditary Dementias, Theme Aging, Karolinska University Hospital, Solna, Sweden
| | - Matthis Synofzik
- Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany,Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Daniela Galimberti
- Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Neurodegenerative Diseases Unit, Milan, Italy,Department of Biomedical, Surgical and Dental Sciences, University of Milan, Dino Ferrari Center, Milan, Italy
| | - James B Rowe
- University of Cambridge, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Trust, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Maria Carmela Tartaglia
- Toronto Western Hospital, Tanz Centre for Research in Neurodegenerative Disease, Toronto, ON, Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Leuven, Belgium,Neurology Service, University Hospitals Leuven, Leuven, Belgium,Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | | | - Fabrizio Tagliavini
- Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Istituto Neurologico Carlo Besta, Milan, Italy
| | - Isabel Santana
- Neurology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal,Center for Neuroscience and Cell Biology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Chris Butler
- Department of Clinical Neurology, University of Oxford, Oxford, UK,Department of Brain Sciences, Imperial College London, London, UK
| | - Alex Gerhard
- Division of Neuroscience and Experimental Psychology, Faculty of Medicine, Biology and Health, University of Manchester, Manchester, UK,Department of Geriatric Medicine and Nuclear Medicine, University of Duisburg-Essen, Duisburg and Essen, Germany
| | - Adrian Danek
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany,Clinical Research Unit, German Center for Neurodegenerative Diseases (DZNE), Munich, Germany,Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Markus Otto
- Department of Neurology, University Hospital Ulm, Ulm, Germany
| | - Sandro Sorbi
- Department of Neurofarba, University of Florence, Florence, Italy,IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Lize C Jiskoot
- Department of Neurology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Harro Seelaar
- Department of Neurology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - John C van Swieten
- Department of Neurology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Jonathan D Rohrer
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, UK
| | - Bratislav Misic
- Correspondence to: Bratislav Misic 3801 Rue University Webster 211, Montreal QC H3A 2B4, Canada E-mail:
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