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Ingrassia L, Boluda S, Potier MC, Haïk S, Jimenez G, Kar A, Racoceanu D, Delatour B, Stimmer L. Automated deep learning segmentation of neuritic plaques and neurofibrillary tangles in Alzheimer disease brain sections using a proprietary software. J Neuropathol Exp Neurol 2024; 83:752-762. [PMID: 38812098 PMCID: PMC11333827 DOI: 10.1093/jnen/nlae048] [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: 05/31/2024] Open
Abstract
Neuropathological diagnosis of Alzheimer disease (AD) relies on semiquantitative analysis of phosphorylated tau-positive neurofibrillary tangles (NFTs) and neuritic plaques (NPs), without consideration of lesion heterogeneity in individual cases. We developed a deep learning workflow for automated annotation and segmentation of NPs and NFTs from AT8-immunostained whole slide images (WSIs) of AD brain sections. Fifteen WSIs of frontal cortex from 4 biobanks with varying tissue quality, staining intensity, and scanning formats were analyzed. We established an artificial intelligence (AI)-driven iterative procedure to improve the generation of expert-validated annotation datasets for NPs and NFTs thereby increasing annotation quality by >50%. This strategy yielded an expert-validated annotation database with 5013 NPs and 5143 NFTs. We next trained two U-Net convolutional neural networks for detection and segmentation of NPs or NFTs, achieving high accuracy and consistency (mean Dice similarity coefficient: NPs, 0.77; NFTs, 0.81). The workflow showed high generalization performance across different cases. This study serves as a proof-of-concept for the utilization of proprietary image analysis software (Visiopharm) in the automated deep learning segmentation of NPs and NFTs, demonstrating that AI can significantly improve the annotation quality of complex neuropathological features and enable the creation of highly precise models for identifying these markers in AD brain sections.
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Affiliation(s)
- Lea Ingrassia
- Paris Brain Institute (ICM), Centre National de la Recherche Scientifique (CNRS) UMR 7225, INSERM U1127, Sorbonne Université, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Susana Boluda
- Paris Brain Institute (ICM), Centre National de la Recherche Scientifique (CNRS) UMR 7225, INSERM U1127, Sorbonne Université, Hôpital de la Pitié-Salpêtrière, Paris, France
- Department of Neuropathology Raymond Escourolle, AP-HP, Pitié-Salpêtrière University Hospital, Paris, France
| | - Marie-Claude Potier
- Paris Brain Institute (ICM), Centre National de la Recherche Scientifique (CNRS) UMR 7225, INSERM U1127, Sorbonne Université, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Stéphane Haïk
- Paris Brain Institute (ICM), Centre National de la Recherche Scientifique (CNRS) UMR 7225, INSERM U1127, Sorbonne Université, Hôpital de la Pitié-Salpêtrière, Paris, France
- AP-HP, Cellule Nationale de Référence des MCJ, Salpêtrière Hospital, Paris, France
| | - Gabriel Jimenez
- Paris Brain Institute (ICM), Centre National de la Recherche Scientifique (CNRS) UMR 7225, INSERM U1127, Sorbonne Université, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Anuradha Kar
- Paris Brain Institute (ICM), Centre National de la Recherche Scientifique (CNRS) UMR 7225, INSERM U1127, Sorbonne Université, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Daniel Racoceanu
- Paris Brain Institute (ICM), Centre National de la Recherche Scientifique (CNRS) UMR 7225, INSERM U1127, Sorbonne Université, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Benoît Delatour
- Paris Brain Institute (ICM), Centre National de la Recherche Scientifique (CNRS) UMR 7225, INSERM U1127, Sorbonne Université, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Lev Stimmer
- Paris Brain Institute (ICM), Centre National de la Recherche Scientifique (CNRS) UMR 7225, INSERM U1127, Sorbonne Université, Hôpital de la Pitié-Salpêtrière, Paris, France
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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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Arezoumandan S, Cousins KA, Ohm DT, Lowe M, Chen M, Gee J, Phillips JS, McMillan CT, Luk KC, Deik A, Spindler MA, Tropea TF, Weintraub D, Wolk DA, Grossman M, Lee V, Chen‐Plotkin AS, Lee EB, Irwin DJ. Tau maturation in the clinicopathological spectrum of Lewy body and Alzheimer's disease. Ann Clin Transl Neurol 2024; 11:673-685. [PMID: 38263854 PMCID: PMC10963284 DOI: 10.1002/acn3.51988] [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] [Received: 12/20/2023] [Accepted: 12/22/2023] [Indexed: 01/25/2024] Open
Abstract
OBJECTIVE Alzheimer's disease neuropathologic change and alpha-synucleinopathy commonly co-exist and contribute to the clinical heterogeneity of dementia. Here, we examined tau epitopes marking various stages of tangle maturation to test the hypotheses that tau maturation is more strongly associated with beta-amyloid compared to alpha-synuclein, and within the context of mixed pathology, mature tau is linked to Alzheimer's disease clinical phenotype and negatively associated with Lewy body dementia. METHODS We used digital histology to measure percent area-occupied by pathology in cortical regions among individuals with pure Alzheimer's disease neuropathologic change, pure alpha-synucleinopathy, and a co-pathology group with both Alzheimer's and alpha-synuclein pathologic diagnoses. Multiple tau monoclonal antibodies were used to detect early (AT8, MC1) and mature (TauC3) epitopes of tangle progression. We used linear/logistic regression to compare groups and test the association between pathologies and clinical features. RESULTS There were lower levels of tau pathology (β = 1.86-2.96, p < 0.001) across all tau antibodies in the co-pathology group compared to the pure Alzheimer's pathology group. Among individuals with alpha-synucleinopathy, higher alpha-synuclein was associated with greater early tau (AT8 β = 1.37, p < 0.001; MC1 β = 1.2, p < 0.001) but not mature tau (TauC3 p = 0.18), whereas mature tau was associated with beta-amyloid (β = 0.21, p = 0.01). Finally, lower tau, particularly TauC3 pathology, was associated with lower frequency of both core clinical features and categorical clinical diagnosis of dementia with Lewy bodies. INTERPRETATION Mature tau may be more closely related to beta-amyloidosis than alpha-synucleinopathy, and pathophysiological processes of tangle maturation may influence the clinical features of dementia in mixed Lewy-Alzheimer's pathology.
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Affiliation(s)
- Sanaz Arezoumandan
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | | | - Daniel T. Ohm
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - MaKayla Lowe
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Min Chen
- Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - James Gee
- Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Jeffrey S. Phillips
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Corey T. McMillan
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Kelvin C. Luk
- Department of Pathology and Laboratory MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Andres Deik
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | | | - Thomas F. Tropea
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Daniel Weintraub
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - David A. Wolk
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Murray Grossman
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Virginia Lee
- Department of Pathology and Laboratory MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | | | - Edward B. Lee
- Department of Pathology and Laboratory MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - David J. Irwin
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
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Liman N, Sağsöz H. The immunolocalization of cadherins and beta-catenin in the cervix and vagina of cycling cows. Vet Res Commun 2023; 47:1155-1175. [PMID: 36729278 DOI: 10.1007/s11259-023-10075-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 01/14/2023] [Indexed: 02/03/2023]
Abstract
The adherens junctions (AJs) maintain the epithelial cell layers' structural integrity and barrier function. AJs also play a vital role in various biological and pathological processes. AJs perform these functions through the cadherin-catenin adhesion complex. This study investigated the presence, cell-specific localization, and temporal distribution of AJ components such as classical type I cadherins and beta-catenin in the cow cervix and vagina during the estrous cycle. Immunohistochemistry and Western blot analysis results demonstrated that beta-catenin and epithelial (E)-, neural (N)-, and placental (P)-cadherins are expressed in the cow cervix and vagina during the estrous cycle. These adhesion molecules were localized in the membrane and cytoplasm of the ciliated and non-ciliated cervical cells and the stratified vaginal epithelial cells. Positive immunostaining for P-, N-cadherin, and beta-catenin was also observed in the vascular endothelial cells of the cervical and vaginal stroma. Quantitative immunohistochemistry examinations revealed that in the cervical and vaginal epithelia, P-cadherin's optical density values (ODv) were the highest; in contrast, the N-cadherin ODv were the lowest. The ODv of P-cadherin and beta-catenin in the cervical epithelium and E-cadherin in the vagina were significantly higher in the luteal phase versus the follicular phase of the estrous cycle. Furthermore, the ODv of P-cadherin, N-cadherin, and beta-catenin in the cervix's central and peripheral epithelial regions were different during the estrous cycle. These findings indicate that classical cadherins and beta-catenin in the cervix and vagina exhibit cell- and tissue-specific expression patterns under the influence of estrogen and progesterone hormones during the estrous cycle.
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Affiliation(s)
- Narin Liman
- Department of Histology and Embryology, Faculty of Veterinary Medicine, Erciyes University, 38039, Kayseri, Turkey.
| | - Hakan Sağsöz
- Department of Histology and Embryology, Faculty of Veterinary Medicine, Dicle University, Diyarbakır, Turkey
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5
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Flavin WP, Hosseini H, Ruberti JW, Kavehpour HP, Giza CC, Prins ML. Traumatic brain injury and the pathways to cerebral tau accumulation. Front Neurol 2023; 14:1239653. [PMID: 37638180 PMCID: PMC10450935 DOI: 10.3389/fneur.2023.1239653] [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: 06/13/2023] [Accepted: 07/24/2023] [Indexed: 08/29/2023] Open
Abstract
Tau is a protein that has received national mainstream recognition for its potential negative impact to the brain. This review succinctly provides information on the structure of tau and its normal physiological functions, including in hibernation and changes throughout the estrus cycle. There are many pathways involved in phosphorylating tau including diabetes, stroke, Alzheimer's disease (AD), brain injury, aging, and drug use. The common mechanisms for these processes are put into context with changes observed in mild and repetitive mild traumatic brain injury (TBI). The phosphorylation of tau is a part of the progression to pathology, but the ability for tau to aggregate and propagate is also addressed. Summarizing both the functional and dysfunctional roles of tau can help advance our understanding of this complex protein, improve our care for individuals with a history of TBI, and lead to development of therapeutic interventions to prevent or reverse tau-mediated neurodegeneration.
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Affiliation(s)
- William P. Flavin
- Department of Neurology, David Geffen School of Medicine, UCLA, Los Angeles, CA, United States
- Steve Tisch BrainSPORT Program, Department of Pediatrics and Neurosurgery, David Geffen School of Medicine, UCLA, Los Angeles, CA, United States
| | - Helia Hosseini
- Department of Bioengineering, UCLA, Los Angeles, CA, United States
| | - Jeffrey W. Ruberti
- Department of Bioengineering, Northeastern University, Boston, MA, United States
| | - H. Pirouz Kavehpour
- Department of Bioengineering, UCLA, Los Angeles, CA, United States
- Department of Mechanical and Aerospace Engineering, UCLA, Los Angeles, CA, United States
| | - Christopher C. Giza
- Steve Tisch BrainSPORT Program, Department of Pediatrics and Neurosurgery, David Geffen School of Medicine, UCLA, Los Angeles, CA, United States
- Department of Bioengineering, UCLA, Los Angeles, CA, United States
- Department of Neurosurgery, Brain Injury Research Center, David Geffen School of Medicine, UCLA, Los Angeles, CA, United States
| | - Mayumi L. Prins
- Steve Tisch BrainSPORT Program, Department of Pediatrics and Neurosurgery, David Geffen School of Medicine, UCLA, Los Angeles, CA, United States
- Department of Bioengineering, UCLA, Los Angeles, CA, United States
- Department of Neurosurgery, Brain Injury Research Center, David Geffen School of Medicine, UCLA, Los Angeles, CA, United States
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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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Kumar ST, Nazarov S, Porta S, Maharjan N, Cendrowska U, Kabani M, Finamore F, Xu Y, Lee VMY, Lashuel HA. Seeding the aggregation of TDP-43 requires post-fibrillization proteolytic cleavage. Nat Neurosci 2023:10.1038/s41593-023-01341-4. [PMID: 37248338 DOI: 10.1038/s41593-023-01341-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 04/18/2023] [Indexed: 05/31/2023]
Abstract
Despite the strong evidence linking the transactive response DNA-binding protein 43 (TDP-43) aggregation to the pathogenesis of frontotemporal lobar degeneration with TDP-43, amyotrophic lateral sclerosis and several neurodegenerative diseases, our knowledge of the sequence and structural determinants of its aggregation and neurotoxicity remains incomplete. Herein, we present a new method for producing recombinant full-length TDP-43 filaments that exhibit sequence and morphological features similar to those of brain-derived TDP-43 filaments. We show that TDP-43 filaments contain a β-sheet-rich helical amyloid core that is fully buried by the flanking structured domains of the protein. We demonstrate that the proteolytic cleavage of TDP-43 filaments and exposure of this amyloid core are necessary for propagating TDP-43 pathology and enhancing the seeding of brain-derived TDP-43 aggregates. Only TDP-43 filaments with exposed amyloid core efficiently seeded the aggregation of endogenous TDP-43 in cells. These findings suggest that inhibiting the enzymes mediating cleavage of TDP-43 aggregates represents a viable disease-modifying strategy to slow the progression of amyotrophic lateral sclerosis and other TDP-43 proteinopathies.
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Affiliation(s)
- Senthil T Kumar
- Laboratory of Molecular and Chemical Biology of Neurodegeneration, Brain Mind Institute, EPFL, Lausanne, Switzerland
| | - Sergey Nazarov
- Laboratory of Molecular and Chemical Biology of Neurodegeneration, Brain Mind Institute, EPFL, Lausanne, Switzerland
| | - Sílvia Porta
- Center for Neurodegenerative Disease Research (CNDR), Department of Pathology and Laboratory Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Niran Maharjan
- Laboratory of Molecular and Chemical Biology of Neurodegeneration, Brain Mind Institute, EPFL, Lausanne, Switzerland
| | - Urszula Cendrowska
- Laboratory of Molecular and Chemical Biology of Neurodegeneration, Brain Mind Institute, EPFL, Lausanne, Switzerland
| | - Malek Kabani
- Laboratory of Molecular and Chemical Biology of Neurodegeneration, Brain Mind Institute, EPFL, Lausanne, Switzerland
| | - Francesco Finamore
- Laboratory of Molecular and Chemical Biology of Neurodegeneration, Brain Mind Institute, EPFL, Lausanne, Switzerland
| | - Yan Xu
- Center for Neurodegenerative Disease Research (CNDR), Department of Pathology and Laboratory Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Virginia M-Y Lee
- Center for Neurodegenerative Disease Research (CNDR), Department of Pathology and Laboratory Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Hilal A Lashuel
- Laboratory of Molecular and Chemical Biology of Neurodegeneration, Brain Mind Institute, EPFL, Lausanne, Switzerland.
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8
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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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9
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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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10
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Giannini LAA, Ohm DT, Rozemuller AJM, Dratch L, Suh E, van Deerlin VM, Trojanowski JQ, Lee EB, van Swieten JC, Grossman M, Seelaar H, Irwin DJ. Isoform-specific patterns of tau burden and neuronal degeneration in MAPT-associated frontotemporal lobar degeneration. Acta Neuropathol 2022; 144:1065-1084. [PMID: 36066634 PMCID: PMC9995405 DOI: 10.1007/s00401-022-02487-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 08/18/2022] [Accepted: 08/26/2022] [Indexed: 01/26/2023]
Abstract
Frontotemporal lobar degeneration with MAPT pathogenic variants (FTLD-MAPT) has heterogeneous tau pathological inclusions postmortem, consisting of three-repeat (3R) or four-repeat (4R) tau isoforms, or a combination (3R + 4R). Here, we studied grey matter tau burden, its relation to neuronal degeneration, and regional patterns of pathology in different isoform groups of FTLD-MAPT. We included 38 FTLD-MAPT autopsy cases with 10 different MAPT pathogenic variants, grouped based on predominant tau isoform(s). In up to eleven regions (ten cortical and one striatal), we quantified grey matter tau burden using digital histopathological analysis and assigned semi-quantitative ratings for neuronal degeneration (i.e. 0-4) and separate burden of glial and neuronal tau inclusions (i.e. 0-3). We used mixed modelling to compare pathology measures (1) across the entire cohort and (2) within isoform groups. In the total cohort, tau burden and neuronal degeneration were positively associated and most severe in the anterior temporal, anterior cingulate and transentorhinal cortices. Isoform groups showed distinctive features of tau burden and neuronal degeneration. Across all regions, the 3R isoform group had lower tau burden compared to the 4R group (p = 0.008), while at the same time showing more severe neuronal degeneration than the 4R group (p = 0.002). The 3R + 4R group had an intermediate profile with relatively high tau burden along with relatively severe neuronal degeneration. Neuronal tau inclusions were most frequent in the 4R group (p < 0.001 vs. 3R), while cortical glial tau inclusions were most frequent in the 3R + 4R and 4R groups (p ≤ 0.009 vs. 3R). Regionally, neuronal degeneration was consistently most severe in the anterior temporal cortex within each isoform group. In contrast, the regions with the highest tau burden differed in isoform groups (3R: striatum; 3R + 4R: striatum, inferior parietal lobule, middle frontal cortex, anterior cingulate cortex; 4R: transentorhinal cortex, anterior temporal cortex, fusiform gyrus). We conclude that FTLD-MAPT isoform groups show distinctive features of overall neuronal degeneration and regional tau burden, but all share pronounced anterior temporal neuronal degeneration. These data suggest that distinct isoform-related mechanisms of genetic tauopathies, with slightly divergent tau distribution, may share similar regional vulnerability to neurodegeneration within the frontotemporal paralimbic networks.
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Affiliation(s)
- Lucia A A Giannini
- Alzheimer Center, Department of Neurology, Erasmus University Medical Center, Doctor Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - Daniel T Ohm
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Frontotemporal Degeneration Center (FTDC), University of Pennsylvania Perelman School of Medicine, Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
| | - Annemieke J M Rozemuller
- Department of Pathology, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, The Netherlands
| | - Laynie Dratch
- Frontotemporal Degeneration Center (FTDC), University of Pennsylvania Perelman School of Medicine, Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
| | - EunRan Suh
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Vivianna M van Deerlin
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Edward B Lee
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - John C van Swieten
- Alzheimer Center, Department of Neurology, Erasmus University Medical Center, Doctor Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - Murray Grossman
- Frontotemporal Degeneration Center (FTDC), University of Pennsylvania Perelman School of Medicine, Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
| | - Harro Seelaar
- Alzheimer Center, Department of Neurology, Erasmus University Medical Center, Doctor Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.
| | - David J Irwin
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Frontotemporal Degeneration Center (FTDC), University of Pennsylvania Perelman School of Medicine, Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA.
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11
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Arezoumandan S, Xie SX, Cousins KAQ, Mechanic-Hamilton DJ, Peterson CS, Huang CY, Ohm DT, Ittyerah R, McMillan CT, Wolk DA, Yushkevich P, Trojanowski JQ, Lee EB, Grossman M, Phillips JS, Irwin DJ. Regional distribution and maturation of tau pathology among phenotypic variants of Alzheimer's disease. Acta Neuropathol 2022; 144:1103-1116. [PMID: 35871112 PMCID: PMC9936795 DOI: 10.1007/s00401-022-02472-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 07/02/2022] [Accepted: 07/14/2022] [Indexed: 01/26/2023]
Abstract
Alzheimer's disease neuropathologic change (ADNC) is clinically heterogenous and can present with a classic multidomain amnestic syndrome or focal non-amnestic syndromes. Here, we investigated the distribution and burden of phosphorylated and C-terminally cleaved tau pathologies across hippocampal subfields and cortical regions among phenotypic variants of Alzheimer's disease (AD). In this study, autopsy-confirmed patients with ADNC, were classified into amnestic (aAD, N = 40) and non-amnestic (naAD, N = 39) groups based on clinical criteria. We performed digital assessment of tissue sections immunostained for phosphorylated-tau (AT8 detects pretangles and mature tangles), D421-truncated tau (TauC3, a marker for mature tangles and ghost tangles), and E391-truncated tau (MN423, a marker that primarily detects ghost tangles), in hippocampal subfields and three cortical regions. Linear mixed-effect models were used to test regional and group differences while adjusting for demographics. Both groups showed AT8-reactivity across hippocampal subfields that mirrored traditional Braak staging with higher burden of phosphorylated-tau in subregions implicated as affected early in Braak staging. The burden of phosphorylated-tau and TauC3-immunoreactive tau in the hippocampus was largely similar between the aAD and naAD groups. In contrast, the naAD group had lower relative distribution of MN423-reactive tangles in CA1 (β = - 0.2, SE = 0.09, p = 0.001) and CA2 (β = - 0.25, SE = 0.09, p = 0.005) compared to the aAD. While the two groups had similar levels of phosphorylated-tau pathology in cortical regions, there was higher burden of TauC3 reactivity in sup/mid temporal cortex (β = 0.16, SE = 0.07, p = 0.02) and MN423 reactivity in all cortical regions (β = 0.4-0.43, SE = 0.09, p < 0.001) in the naAD compared to aAD. In conclusion, AD clinical variants may have a signature distribution of overall phosphorylated-tau pathology within the hippocampus reflecting traditional Braak staging; however, non-amnestic AD has greater relative mature tangle pathology in the neocortex compared to patients with clinical amnestic AD, where the hippocampus had greatest relative burden of C-terminally cleaved tau reactivity. Thus, varying neuronal susceptibility to tau-mediated neurodegeneration may influence the clinical expression of ADNC.
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Affiliation(s)
- Sanaz Arezoumandan
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Sharon X Xie
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Katheryn A Q Cousins
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Dawn J Mechanic-Hamilton
- Department of Neurology, Penn Memory Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Department of Neurology, Penn Alzheimer's Disease Research Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Claire S Peterson
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Camille Y Huang
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Daniel T Ohm
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Ranjit Ittyerah
- Penn Image Computing and Science Lab, Department of Radiology, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Corey T McMillan
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Department of Neurology, Penn Alzheimer's Disease Research Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - David A Wolk
- Department of Neurology, Penn Memory Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Department of Neurology, Penn Alzheimer's Disease Research Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Paul Yushkevich
- Department of Neurology, Penn Alzheimer's Disease Research Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Penn Image Computing and Science Lab, Department of Radiology, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - John Q Trojanowski
- Department of Neurology, Penn Alzheimer's Disease Research Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Edward B Lee
- Department of Neurology, Penn Alzheimer's Disease Research Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Jeffrey S Phillips
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - David J Irwin
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, Philadelphia, PA, 19104, USA.
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, Philadelphia, PA, 19104, USA.
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12
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Cousins KAQ, Arezoumandan S, Shellikeri S, Ohm D, Shaw LM, Grossman M, Wolk D, McMillan CT, Chen-Plotkin A, Lee E, Trojanowski JQ, Zetterberg H, Blennow K, Irwin DJ. CSF Biomarkers of Alzheimer Disease in Patients With Concomitant α-Synuclein Pathology. Neurology 2022; 99:e2303-e2312. [PMID: 36041863 PMCID: PMC9694837 DOI: 10.1212/wnl.0000000000201202] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 07/19/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES CSF biomarkers β-amyloid 1-42 (Aβ42), phosphorylated tau 181 (p-tau181), total tau (t-tau), and neurogranin (Ng) can diagnose Alzheimer disease (AD) in life. However, it is unknown whether CSF concentrations, and thus their accuracies, are affected by concomitant pathologies common in AD, such as α-synuclein (αSyn). Our primary goal was to test whether biomarkers in patients with AD are altered by concomitant αSyn. We compared CSF Aβ42, p-tau181, t-tau, and Ng levels across autopsy-confirmed AD and concomitant AD and αSyn (AD + αSyn). Antemortem CSF levels were related to postmortem accumulations of αSyn. Finally, we tested how concommitant AD + αSyn affected the diagnostic accuracy of 2 CSF-based strategies: the amyloid/tau/neurodegeneration (ATN) framework and the t-tau/Aβ42 ratio. METHODS Inclusion criteria were neuropathologic diagnoses of AD, mixed AD + αSyn, and αSyn. A convenience sample of nonimpaired controls was selected with available CSF and a Mini-Mental State Examination (MMSE) ≥ 27. αSyn without AD and controls were included as reference groups. Analyses of covariance (ANCOVAs) tested planned comparisons were CSF Aβ42, p-tau181, t-tau, and Ng differences across AD and AD + αSyn. Linear models tested how biomarkers were altered by αSyn accumulation in AD, accounting for pathologic β-amyloid and tau. Receiver operating characteristic and area under the curve (AUC), including 95% CI, evaluated diagnostic accuracy. RESULTS Participants were 61 patients with AD, 39 patients with mixed AD + αSyn, 20 patients with αSyn, and 61 controls. AD had similar median age (73 [interquartile range {IQR} = 12] years), MMSE (23 [IQR = 9]), and sex distribution (male = 49%) compared with AD + αSyn age (70 [IQR = 13] years; p = 0.3), MMSE (25 [IQR = 9.5]; p = 0.19), and sex distribution (male = 69%; p = 0.077). ANCOVAs showed that AD + αSyn had lower p-tau181 (F(1,94) = 17, p < 2.6e-16), t-tau (F(1,93) = 11, p = 0.0004), and Ng levels (F(1,50) = 12, p = 0.0004) than AD; there was no difference in Aβ42 (p = 0.44). Models showed increasing αSyn related to lower p-tau181 (β = -0.26, SE = 0.092, p = 0.0065), t-tau (β = -0.19, SE = 0.092, p = 0.041), and Ng levels (β = -0.2, SE = 0.066, p = 0.0046); αSyn was not a significant factor for Aβ42 (p = 1). T-tau/Aβ42 had the highest accuracy when detecting AD, including mixed AD + αSyn cases (AUC = 0.95; CI 0.92-0.98). DISCUSSION Findings demonstrate that concomitant αSyn pathology in AD is associated with lower CSF p-tau181, t-tau, and Ng levels and can affect diagnostic accuracy in patients with AD.
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Affiliation(s)
- Katheryn Alexandra Quilico Cousins
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK.
| | - Sanaz Arezoumandan
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - Sanjana Shellikeri
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - Daniel Ohm
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - Leslie M Shaw
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - Murray Grossman
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - David Wolk
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - Corey T McMillan
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - Alice Chen-Plotkin
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - Edward Lee
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - John Q Trojanowski
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - Henrik Zetterberg
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - Kaj Blennow
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
| | - David John Irwin
- From the Departments of Neurology (K.A.Q.C., S.A., S.S., D.O., M.G., D.W., C.T.M., A.C.-P., D.J.I.), Pathology and Laboratory Medicine (L.M.S., E.L., J.Q.T.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Psychiatry and Neurochemistry (H.Z., K.B.), Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sweden; and Department of Neurodegenerative Disease (H.Z.), Institute of Neurology, University College London, UK
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13
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Neurovascular dysfunction in GRN-associated frontotemporal dementia identified by single-nucleus RNA sequencing of human cerebral cortex. Nat Neurosci 2022; 25:1034-1048. [PMID: 35879464 DOI: 10.1038/s41593-022-01124-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 06/16/2022] [Indexed: 12/13/2022]
Abstract
Frontotemporal dementia (FTD) is the second most prevalent form of early-onset dementia, affecting predominantly frontal and temporal cerebral lobes. Heterozygous mutations in the progranulin gene (GRN) cause autosomal-dominant FTD (FTD-GRN), associated with TDP-43 inclusions, neuronal loss, axonal degeneration and gliosis, but FTD-GRN pathogenesis is largely unresolved. Here we report single-nucleus RNA sequencing of microglia, astrocytes and the neurovasculature from frontal, temporal and occipital cortical tissue from control and FTD-GRN brains. We show that fibroblast and mesenchymal cell numbers were enriched in FTD-GRN, and we identified disease-associated subtypes of astrocytes and endothelial cells. Expression of gene modules associated with blood-brain barrier (BBB) dysfunction was significantly enriched in FTD-GRN endothelial cells. The vasculature supportive function and capillary coverage by pericytes was reduced in FTD-GRN tissue, with increased and hypertrophic vascularization and an enrichment of perivascular T cells. Our results indicate a perturbed BBB and suggest that the neurovascular unit is severely affected in FTD-GRN.
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14
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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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15
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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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16
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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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17
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Tisdall MD, Ohm DT, Lobrovich R, Das SR, Mizsei G, Prabhakaran K, Ittyerah R, Lim S, McMillan CT, Wolk DA, Gee J, Trojanowski JQ, Lee EB, Detre JA, Yushkevich P, Grossman M, Irwin DJ. Ex vivo MRI and histopathology detect novel iron-rich cortical inflammation in frontotemporal lobar degeneration with tau versus TDP-43 pathology. Neuroimage Clin 2022; 33:102913. [PMID: 34952351 PMCID: PMC8715243 DOI: 10.1016/j.nicl.2021.102913] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 10/28/2021] [Accepted: 12/08/2021] [Indexed: 02/08/2023]
Abstract
Comparative study of whole-hemisphere ex vivo T2*-weighted MRI and histopathology. Sample of FTLD-Tau and FTLD-TDP subtypes with reference to healthy and AD brain. Novel focal upper cortical-layer iron-rich pathology distinguishes FTLD-TDP from clinically-similar FTLD-Tau and AD. Distinct novel iron-rich FTLD-Tau pathology in mid-to-deep cortical-layers and WM. T2*-weighted MRI signatures offer in vivo biomarker targets for FTLD proteinopathy.
Frontotemporal lobar degeneration (FTLD) is a heterogeneous spectrum of age-associated neurodegenerative diseases that include two main pathologic categories of tau (FTLD-Tau) and TDP-43 (FTLD-TDP) proteinopathies. These distinct proteinopathies are often clinically indistinguishable during life, posing a major obstacle for diagnosis and emerging therapeutic trials tailored to disease-specific mechanisms. Moreover, MRI-derived measures have had limited success to date discriminating between FTLD-Tau or FTLD-TDP. T2*-weighted (T2*w) ex vivo MRI has previously been shown to be sensitive to non-heme iron in healthy intracortical lamination and myelin, and to pathological iron deposits in amyloid-beta plaques and activated microglia in Alzheimer’s disease neuropathologic change (ADNC). However, an integrated, ex vivo MRI and histopathology approach is understudied in FTLD. We apply joint, whole-hemisphere ex vivo MRI at 7 T and histopathology to the study autopsy-confirmed FTLD-Tau (n = 4) and FTLD-TDP (n = 3), relative to ADNC disease-control brains with antemortem clinical symptoms of frontotemporal dementia (n = 2), and an age-matched healthy control. We detect distinct laminar patterns of novel iron-laden glial pathology in both FTLD-Tau and FTLD-TDP brains. We find iron-positive ameboid and hypertrophic microglia and astrocytes largely in deeper GM and adjacent WM in FTLD-Tau. In contrast, FTLD-TDP presents prominent superficial cortical layer iron reactivity in astrocytic processes enveloping small blood vessels with limited involvement of adjacent WM, as well as more diffuse distribution of punctate iron-rich dystrophic microglial processes across all GM lamina. This integrated MRI/histopathology approach reveals ex vivo MRI features that are consistent with these pathological observations distinguishing FTLD-Tau and FTLD-TDP subtypes, including prominent irregular hypointense signal in deeper cortex in FTLD-Tau whereas FTLD-TDP showed upper cortical layer hypointense bands and diffuse cortical speckling. Moreover, differences in adjacent WM degeneration and iron-rich gliosis on histology between FTLD-Tau and FTLD-TDP were also readily apparent on MRI as hyperintense signal and irregular areas of hypointensity, respectively that were more prominent in FTLD-Tau compared to FTLD-TDP. These unique histopathological and radiographic features were distinct from healthy control and ADNC brains, suggesting that iron-sensitive T2*w MRI, adapted to in vivo application at sufficient resolution, may eventually offer an opportunity to improve antemortem diagnosis of FTLD proteinopathies using tissue-validated methods.
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Affiliation(s)
- M Dylan Tisdall
- Radiology, Perelman School of Medicine, University of Pennsylvania, United States.
| | - Daniel T Ohm
- Neurology, Perelman School of Medicine, University of Pennsylvania, United States
| | - Rebecca Lobrovich
- Neurology, Perelman School of Medicine, University of Pennsylvania, United States
| | - Sandhitsu R Das
- Neurology, Perelman School of Medicine, University of Pennsylvania, United States
| | - Gabor Mizsei
- Radiology, Perelman School of Medicine, University of Pennsylvania, United States
| | - Karthik Prabhakaran
- Neurology, Perelman School of Medicine, University of Pennsylvania, United States
| | - Ranjit Ittyerah
- Radiology, Perelman School of Medicine, University of Pennsylvania, United States
| | - Sydney Lim
- Radiology, Perelman School of Medicine, University of Pennsylvania, United States
| | - Corey T McMillan
- Neurology, Perelman School of Medicine, University of Pennsylvania, United States
| | - David A Wolk
- Neurology, Perelman School of Medicine, University of Pennsylvania, United States
| | - James Gee
- Radiology, Perelman School of Medicine, University of Pennsylvania, United States
| | - John Q Trojanowski
- Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, United States
| | - Edward B Lee
- Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, United States
| | - John A Detre
- Radiology, Perelman School of Medicine, University of Pennsylvania, United States; Neurology, Perelman School of Medicine, University of Pennsylvania, United States
| | - Paul Yushkevich
- Radiology, Perelman School of Medicine, University of Pennsylvania, United States
| | - Murray Grossman
- Neurology, Perelman School of Medicine, University of Pennsylvania, United States
| | - David J Irwin
- Neurology, Perelman School of Medicine, University of Pennsylvania, United States; Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, United States.
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18
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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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19
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Cousins KA, Bove J, Giannini LAA, Kinney NG, Balgenorth YR, Rascovsky K, Lee EB, Trojanowski JQ, Grossman M, Irwin DJ. Longitudinal naming and repetition relates to AD pathology and burden in autopsy-confirmed primary progressive aphasia. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2021; 7:e12188. [PMID: 34368417 PMCID: PMC8327471 DOI: 10.1002/trc2.12188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 05/06/2021] [Indexed: 11/06/2022]
Abstract
INTRODUCTION In primary progressive aphasia (PPA) patients with autopsy-confirmed Alzheimer's disease (AD) or frontotemporal lobar degeneration (FLTD), we tested how the core clinical features of logopenic PPA-naming and repetition-change over time and relate to pathologic burden. METHODS In PPA with AD (n = 13) or FTLD (n = 16) pathology, Boston Naming Test and Forward Digit Span measured longitudinal naming and repetition; as reference, Mini-Mental State Examination (MMSE) measured global cognition. Pathologic burden in left peri-Sylvian regions was related to longitudinal cognitive decline. RESULTS PPA with AD showed greater decline in naming (P = 0.021) and repetition (P = 0.020), compared to FTLD; there was no difference in MMSE decline (P = 0.99). Across all PPA, declining naming (P = 0.0084) and repetition (P = 0.011) were associated with angular, superior-middle temporal (naming P = 0.014; repetition P = 0.011) and middle frontal (naming P = 0.041; repetition P = 0.030) pathologic burden. DISCUSSION Unique longitudinal profiles of naming and repetition performance in PPA with AD are related to left peri-Sylvian pathology.
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Affiliation(s)
- Katheryn A.Q. Cousins
- Frontotemporal Degeneration Center, Perelman School of MedicineDepartment of NeurologyPhiladelphiaPennsylvaniaUSA
| | - Jessica Bove
- Department of Clinical and Health PsychologyUniversity of FloridaGainesvilleFloridaUSA
| | - Lucia A. A. Giannini
- Alzheimer CenterDepartment of NeurologyErasmus Medical CenterRotterdamthe Netherlands
| | - Nikolas G. Kinney
- Frontotemporal Degeneration Center, Perelman School of MedicineDepartment of NeurologyPhiladelphiaPennsylvaniaUSA
| | - Yvonne R. Balgenorth
- Frontotemporal Degeneration Center, Perelman School of MedicineDepartment of NeurologyPhiladelphiaPennsylvaniaUSA
| | - Katya Rascovsky
- Frontotemporal Degeneration Center, Perelman School of MedicineDepartment of NeurologyPhiladelphiaPennsylvaniaUSA
| | - Edward B. Lee
- Translational Neuropathology Research LaboratoryPerelman School of MedicineDepartment of Pathology and Laboratory MedicinePhiladelphiaPennsylvaniaUSA
| | - John Q. Trojanowski
- Center for Neurodegenerative Disease ResearchPerelman School of MedicineDepartment of Pathology and Laboratory MedicinePhiladelphiaPennsylvaniaUSA
| | - Murray Grossman
- Frontotemporal Degeneration Center, Perelman School of MedicineDepartment of NeurologyPhiladelphiaPennsylvaniaUSA
| | - David J. Irwin
- Frontotemporal Degeneration Center, Perelman School of MedicineDepartment of NeurologyPhiladelphiaPennsylvaniaUSA
- Digital Neuropathology LaboratoryPerelman School of MedicineDepartment of NeurologyPhiladelphiaPAUSA
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20
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Giannini LAA, Peterson C, Ohm D, Xie SX, McMillan CT, Raskovsky K, Massimo L, Suh E, Van Deerlin VM, Wolk DA, Trojanowski JQ, Lee EB, Grossman M, Irwin DJ. Frontotemporal lobar degeneration proteinopathies have disparate microscopic patterns of white and grey matter pathology. Acta Neuropathol Commun 2021; 9:30. [PMID: 33622418 PMCID: PMC7901087 DOI: 10.1186/s40478-021-01129-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Accepted: 02/07/2021] [Indexed: 01/10/2023] Open
Abstract
Frontotemporal lobar degeneration proteinopathies with tau inclusions (FTLD-Tau) or TDP-43 inclusions (FTLD-TDP) are associated with clinically similar phenotypes. However, these disparate proteinopathies likely differ in cellular severity and regional distribution of inclusions in white matter (WM) and adjacent grey matter (GM), which have been understudied. We performed a neuropathological study of subcortical WM and adjacent GM in a large autopsy cohort (n = 92; FTLD-Tau = 37, FTLD-TDP = 55) using a validated digital image approach. The antemortem clinical phenotype was behavioral-variant frontotemporal dementia (bvFTD) in 23 patients with FTLD-Tau and 42 with FTLD-TDP, and primary progressive aphasia (PPA) in 14 patients with FTLD-Tau and 13 with FTLD-TDP. We used linear mixed-effects models to: (1) compare WM pathology burden between proteinopathies; (2) investigate the relationship between WM pathology burden and WM degeneration using luxol fast blue (LFB) myelin staining; (3) study regional patterns of pathology burden in clinico-pathological groups. WM pathology burden was greater in FTLD-Tau compared to FTLD-TDP across regions (beta = 4.21, SE = 0.34, p < 0.001), and correlated with the degree of WM degeneration in both FTLD-Tau (beta = 0.32, SE = 0.10, p = 0.002) and FTLD-TDP (beta = 0.40, SE = 0.08, p < 0.001). WM degeneration was greater in FTLD-Tau than FTLD-TDP particularly in middle-frontal and anterior cingulate regions (p < 0.05). Distinct regional patterns of WM and GM inclusions characterized FTLD-Tau and FTLD-TDP proteinopathies, and associated in part with clinical phenotype. In FTLD-Tau, WM pathology was particularly severe in the dorsolateral frontal cortex in nonfluent-variant PPA, and GM pathology in dorsolateral and paralimbic frontal regions with some variation across tauopathies. Differently, FTLD-TDP had little WM regional variability, but showed severe GM pathology burden in ventromedial prefrontal regions in both bvFTD and PPA. To conclude, FTLD-Tau and FTLD-TDP proteinopathies have distinct severity and regional distribution of WM and GM pathology, which may impact their clinical presentation, with overall greater severity of WM pathology as a distinguishing feature of tauopathies.
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Affiliation(s)
- Lucia A A Giannini
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
- Department of Neurology, Alzheimer Center, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Claire Peterson
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
| | - Daniel Ohm
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
| | - Sharon X Xie
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Corey T McMillan
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
| | - Katya Raskovsky
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
| | - Lauren Massimo
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
| | - EunRah Suh
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Vivianna M Van Deerlin
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - David A Wolk
- Department of Pathology and Laboratory Medicine, Alzheimer's Disease Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Pathology and Laboratory Medicine, Alzheimer's Disease Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, Alzheimer's Disease Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Murray Grossman
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA
| | - David J Irwin
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Neurology, Perelman School of Medicine, Penn Frontotemporal Degeneration Center (FTDC), Hospital of the University of Pennsylvania, 3600 Spruce Street, Philadelphia, PA, 19104, USA.
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21
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Placek K, Benatar M, Wuu J, Rampersaud E, Hennessy L, Van Deerlin VM, Grossman M, Irwin DJ, Elman L, McCluskey L, Quinn C, Granit V, Statland JM, Burns TM, Ravits J, Swenson A, Katz J, Pioro EP, Jackson C, Caress J, So Y, Maiser S, Walk D, Lee EB, Trojanowski JQ, Cook P, Gee J, Sha J, Naj AC, Rademakers R, Chen W, Wu G, Paul Taylor J, McMillan CT. Machine learning suggests polygenic risk for cognitive dysfunction in amyotrophic lateral sclerosis. EMBO Mol Med 2021; 13:e12595. [PMID: 33270986 PMCID: PMC7799365 DOI: 10.15252/emmm.202012595] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 10/27/2020] [Accepted: 10/30/2020] [Indexed: 11/09/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a multi-system disease characterized primarily by progressive muscle weakness. Cognitive dysfunction is commonly observed in patients; however, factors influencing risk for cognitive dysfunction remain elusive. Using sparse canonical correlation analysis (sCCA), an unsupervised machine-learning technique, we observed that single nucleotide polymorphisms collectively associate with baseline cognitive performance in a large ALS patient cohort (N = 327) from the multicenter Clinical Research in ALS and Related Disorders for Therapeutic Development (CReATe) Consortium. We demonstrate that a polygenic risk score derived using sCCA relates to longitudinal cognitive decline in the same cohort and also to in vivo cortical thinning in the orbital frontal cortex, anterior cingulate cortex, lateral temporal cortex, premotor cortex, and hippocampus (N = 90) as well as post-mortem motor cortical neuronal loss (N = 87) in independent ALS cohorts from the University of Pennsylvania Integrated Neurodegenerative Disease Biobank. Our findings suggest that common genetic polymorphisms may exert a polygenic contribution to the risk of cortical disease vulnerability and cognitive dysfunction in ALS.
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22
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Placek K, Benatar M, Wuu J, Rampersaud E, Hennessy L, Van Deerlin VM, Grossman M, Irwin DJ, Elman L, McCluskey L, Quinn C, Granit V, Statland JM, Burns TM, Ravits J, Swenson A, Katz J, Pioro EP, Jackson C, Caress J, So Y, Maiser S, Walk D, Lee EB, Trojanowski JQ, Cook P, Gee J, Sha J, Naj AC, Rademakers R, Chen W, Wu G, Paul Taylor J, McMillan CT. Machine learning suggests polygenic risk for cognitive dysfunction in amyotrophic lateral sclerosis. EMBO Mol Med 2021. [PMID: 33270986 PMCID: PMC7799365 DOI: 10.15252/emmm.202012595|] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a multi-system disease characterized primarily by progressive muscle weakness. Cognitive dysfunction is commonly observed in patients; however, factors influencing risk for cognitive dysfunction remain elusive. Using sparse canonical correlation analysis (sCCA), an unsupervised machine-learning technique, we observed that single nucleotide polymorphisms collectively associate with baseline cognitive performance in a large ALS patient cohort (N = 327) from the multicenter Clinical Research in ALS and Related Disorders for Therapeutic Development (CReATe) Consortium. We demonstrate that a polygenic risk score derived using sCCA relates to longitudinal cognitive decline in the same cohort and also to in vivo cortical thinning in the orbital frontal cortex, anterior cingulate cortex, lateral temporal cortex, premotor cortex, and hippocampus (N = 90) as well as post-mortem motor cortical neuronal loss (N = 87) in independent ALS cohorts from the University of Pennsylvania Integrated Neurodegenerative Disease Biobank. Our findings suggest that common genetic polymorphisms may exert a polygenic contribution to the risk of cortical disease vulnerability and cognitive dysfunction in ALS.
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Affiliation(s)
- Katerina Placek
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Michael Benatar
- Department of NeurologyLeonard M. Miller School of MedicineUniversity of MiamiMiamiFLUSA
| | - Joanne Wuu
- Department of NeurologyLeonard M. Miller School of MedicineUniversity of MiamiMiamiFLUSA
| | - Evadnie Rampersaud
- Center for Applied BioinformaticsSt. Jude Children’s Research HospitalMemphisTNUSA
| | - Laura Hennessy
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Vivianna M Van Deerlin
- Department of Pathology & Laboratory MedicineUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Murray Grossman
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - David J Irwin
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Lauren Elman
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Leo McCluskey
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Colin Quinn
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Volkan Granit
- Department of NeurologyLeonard M. Miller School of MedicineUniversity of MiamiMiamiFLUSA
| | - Jeffrey M Statland
- Department of NeurologyUniversity of Kansas Medical CenterKansas CityKSUSA
| | - Ted M Burns
- Department of NeurologyUniversity of Virginia Health SystemCharlottesvilleVAUSA
| | - John Ravits
- Department of NeurosciencesUniversity of California San DiegoSan DiegoCAUSA
| | | | - Jon Katz
- Forbes Norris ALS CenterCalifornia Pacific Medical CenterSan FranciscoCAUSA
| | - Erik P Pioro
- Department of NeurologyCleveland ClinicClevelandOHUSA
| | - Carlayne Jackson
- Department of NeurologyUniversity of Texas Health Science CenterSan AntonioTXUSA
| | - James Caress
- Department of NeurologyWake Forest University School of MedicineWinston‐SalemNCUSA
| | - Yuen So
- Department of NeurologyStanford University Medical CenterSan JoseCAUSA
| | - Samuel Maiser
- Department of NeurologyUniversity of Minnesota Medical CenterMinneapolisMNUSA
| | - David Walk
- Department of NeurologyUniversity of Minnesota Medical CenterMinneapolisMNUSA
| | - Edward B Lee
- Department of Pathology & Laboratory MedicineUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - John Q Trojanowski
- Department of Pathology & Laboratory MedicineUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Philip Cook
- Penn Image Computing Science Laboratory (PICSL)Department of RadiologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - James Gee
- Penn Image Computing Science Laboratory (PICSL)Department of RadiologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Jin Sha
- Department of Biostatistics, Epidemiology, and InformaticsUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA,Penn Neurodegeneration Genomics CenterDepartment of Pathology and Laboratory MedicineUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Adam C Naj
- Department of Pathology & Laboratory MedicineUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA,Department of Biostatistics, Epidemiology, and InformaticsUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA,Penn Neurodegeneration Genomics CenterDepartment of Pathology and Laboratory MedicineUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | | | | | - Wenan Chen
- Center for Applied BioinformaticsSt. Jude Children’s Research HospitalMemphisTNUSA
| | - Gang Wu
- Center for Applied BioinformaticsSt. Jude Children’s Research HospitalMemphisTNUSA
| | - J Paul Taylor
- Center for Applied BioinformaticsSt. Jude Children’s Research HospitalMemphisTNUSA,The Howard Hughes Medical InstituteChevy ChaseMSUSA
| | - Corey T McMillan
- Department of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
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23
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Spotorno N, Coughlin DG, Olm CA, Wolk D, Vaishnavi SN, Shaw LM, Dahodwala N, Morley JF, Duda JE, Deik AF, Spindler MA, Chen‐Plotkin A, Lee EB, Trojanowski JQ, McMillan CT, Weintraub D, Grossman M, Irwin DJ. Tau pathology associates with in vivo cortical thinning in Lewy body disorders. Ann Clin Transl Neurol 2020; 7:2342-2355. [PMID: 33108692 PMCID: PMC7732256 DOI: 10.1002/acn3.51183] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 08/12/2020] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVES To investigate the impact of Alzheimer's disease (AD) co-pathology on an in vivo structural measure of neurodegeneration in Lewy body disorders (LBD). METHODS We studied 72 LBD patients (Parkinson disease (PD) = 2, PD-MCI = 25, PD with dementia = 10, dementia with Lewy bodies = 35) with either CSF analysis or neuropathological examination and structural MRI during life. The cohort was divided into those harboring significant AD co-pathology, either at autopsy (intermediate/high AD neuropathologic change) or with CSF signature indicating AD co-pathology (t-tau/Aβ1-42 > 0.3) (LBD+AD, N = 19), and those without AD co-pathology (LBD-AD, N = 53). We also included a reference group of 25 patients with CSF biomarker-confirmed amnestic AD. We investigated differences in MRI cortical thickness estimates between groups, and in the 21 autopsied LBD patients (LBD-AD = 14, LBD+AD = 7), directly tested the association between antemortem MRI and post-mortem burdens of tau, Aβ, and alpha-synuclein using digital histopathology in five representative neocortical regions. RESULTS The LBD+AD group was characterized by cortical thinning in anterior/medial and lateral temporal regions (P < 0.05 FWE-corrected) relative to LBD-AD. In LBD+AD, cortical thinning was most pronounced in temporal neocortex, whereas the AD reference group showed atrophy that equally encompassed temporal, parietal and frontal neocortex. In autopsied LBD, we found an inverse correlation with cortical thickness and post-mortem tau pathology, while cortical thickness was not significantly associated with Aβ or alpha-synuclein pathology. INTERPRETATION LBD+AD is characterized by temporal neocortical thinning on MRI, and cortical thinning directly correlated with post-mortem histopathologic burden of tau, suggesting that tau pathology influences the pattern of neurodegeneration in LBD.
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Affiliation(s)
- Nicola Spotorno
- Penn Frontotemporal Degeneration CenterDepartment of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - David G. Coughlin
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
- Department of RadiologyPenn Image Computing and Science LaboratoryUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - Christopher A. Olm
- Penn Frontotemporal Degeneration CenterDepartment of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
- Department of NeurosciencesHealth SciencesUC San DiegoSan DiegoCAUSA
| | - David Wolk
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
- Alzheimer's Disease CenterDepartment of Neuropathology Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Sanjeev N. Vaishnavi
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
- Alzheimer's Disease CenterDepartment of Neuropathology Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Leslie M. Shaw
- Department of Pathology and Laboratory MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Nabila Dahodwala
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
| | - James F. Morley
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
- Parkinson's Disease ResearchEducation and Clinical Center (PADRECC)Michael J. Crescenz Veterans Affairs Medical CenterPhiladelphiaPAUSA
| | - John E. Duda
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
- Parkinson's Disease ResearchEducation and Clinical Center (PADRECC)Michael J. Crescenz Veterans Affairs Medical CenterPhiladelphiaPAUSA
| | - Andres F. Deik
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
| | - Meredith A. Spindler
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
| | - Alice Chen‐Plotkin
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
| | - Edward B. Lee
- Alzheimer's Disease CenterDepartment of Neuropathology Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
- Department of Pathology and Laboratory MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
- Center for Neurodegenerative Disease ResearchPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - John Q. Trojanowski
- Alzheimer's Disease CenterDepartment of Neuropathology Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
- Department of Pathology and Laboratory MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
- Center for Neurodegenerative Disease ResearchPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Corey T. McMillan
- Penn Frontotemporal Degeneration CenterDepartment of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
| | - Daniel Weintraub
- Department of NeurologyPerelman School of MedicineUniversity of Pennsylvania PhiladelphiaPhiladelphiaPAUSA
- Parkinson's Disease ResearchEducation and Clinical Center (PADRECC)Michael J. Crescenz Veterans Affairs Medical CenterPhiladelphiaPAUSA
- Department of PsychiatryPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
| | - Murray Grossman
- Penn Frontotemporal Degeneration CenterDepartment of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
- Department of RadiologyPenn Image Computing and Science LaboratoryUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
| | - David J. Irwin
- Penn Frontotemporal Degeneration CenterDepartment of NeurologyUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
- Department of RadiologyPenn Image Computing and Science LaboratoryUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPAUSA
- Digital Neuropathology LaboratoryPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPAUSA
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24
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Ohm DT, Peterson C, Lobrovich R, Cousins KAQ, Gibbons GS, McMillan CT, Wolk DA, Van Deerlin V, Elman L, Spindler M, Deik A, Siderowf A, Trojanowski JQ, Lee EB, Grossman M, Irwin DJ. Degeneration of the locus coeruleus is a common feature of tauopathies and distinct from TDP-43 proteinopathies in the frontotemporal lobar degeneration spectrum. Acta Neuropathol 2020; 140:675-693. [PMID: 32804255 DOI: 10.1007/s00401-020-02210-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 08/04/2020] [Accepted: 08/05/2020] [Indexed: 12/12/2022]
Abstract
Neurodegeneration of the locus coeruleus (LC) in age-related neurodegenerative diseases such as Alzheimer's disease (AD) is well documented. However, detailed studies of LC neurodegeneration in the full spectrum of frontotemporal lobar degeneration (FTLD) proteinopathies comparing tauopathies (FTLD-tau) to TDP-43 proteinopathies (FTLD-TDP) are lacking. Here, we tested the hypothesis that there is greater LC neuropathology and neurodegeneration in FTLD-tau compared to FTLD-TDP. We examined 280 patients including FTLD-tau (n = 94), FTLD-TDP (n = 135), and two reference groups: clinical/pathological AD (n = 32) and healthy controls (HC, n = 19). Adjacent sections of pons tissue containing the LC were immunostained for phosphorylated TDP-43 (1D3-p409/410), hyperphosphorylated tau (PHF-1), and tyrosine hydroxylase (TH) to examine neuromelanin-containing noradrenergic neurons. Blinded to clinical and pathologic diagnoses, we semi-quantitatively scored inclusions of tau and TDP-43 both inside LC neuronal somas and in surrounding neuropil. We also digitally measured the percent area occupied of neuromelanin inside of TH-positive LC neurons and in surrounding neuropil to calculate a ratio of extracellular-to-intracellular neuromelanin as an objective composite measure of neurodegeneration. We found that LC tau burden in FTLD-tau was greater than LC TDP-43 burden in FTLD-TDP (z = - 11.38, p < 0.0001). Digital measures of LC neurodegeneration in FTLD-tau were comparable to AD (z = - 1.84, p > 0.05) but greater than FTLD-TDP (z = - 3.85, p < 0.0001) and HC (z = - 4.12, p < 0.0001). Both tau burden and neurodegeneration were consistently elevated in the LC across pathologic and clinical subgroups of FTLD-tau compared to FTLD-TDP subgroups. Moreover, LC tau burden positively correlated with neurodegeneration in the total FTLD group (rho = 0.24, p = 0.001), while TDP-43 burden did not correlate with LC neurodegeneration in FTLD-TDP (rho = - 0.01, p = 0.90). These findings suggest that patterns of disease propagation across all tauopathies include prominent LC tau and neurodegeneration that are relatively distinct from the minimal degenerative changes to the LC in FTLD-TDP and HC. Antemortem detection of LC neurodegeneration and/or function could potentially improve antemortem differentiation of underlying FTLD tauopathies from clinically similar FTLD-TDP proteinopathies.
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Affiliation(s)
- Daniel T Ohm
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Claire Peterson
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Rebecca Lobrovich
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Katheryn A Q Cousins
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Garrett S Gibbons
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Corey T McMillan
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - David A Wolk
- Alzheimer's Disease Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Penn Memory Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Vivianna Van Deerlin
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Alzheimer's Disease Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Lauren Elman
- Comprehensive Amyotrophic Lateral Sclerosis Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Meredith Spindler
- Parkinson's Disease and Movement Disorders Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Andres Deik
- Parkinson's Disease and Movement Disorders Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Andrew Siderowf
- Parkinson's Disease and Movement Disorders Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Alzheimer's Disease Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Edward B Lee
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Alzheimer's Disease Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Murray Grossman
- 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.
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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25
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Coughlin DG, Ittyerah R, Peterson C, Phillips JS, Miller S, Rascovsky K, Weintraub D, Siderowf AD, Duda JE, Hurtig HI, Wolk DA, McMillan CT, Yushkevich PA, Grossman M, Lee EB, Trojanowski JQ, Irwin DJ. Hippocampal subfield pathologic burden in Lewy body diseases vs. Alzheimer's disease. Neuropathol Appl Neurobiol 2020; 46:707-721. [PMID: 32892355 DOI: 10.1111/nan.12659] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 07/21/2020] [Accepted: 08/22/2020] [Indexed: 12/16/2022]
Abstract
AIMS Lewy body diseases (LBD) are characterized by alpha-synuclein (SYN) pathology, but comorbid Alzheimer's disease (AD) pathology is common and the relationship between these pathologies in microanatomic hippocampal subfields is understudied. Here we use digital histological methods to test the association between hippocampal SYN pathology and the distribution of tau and amyloid-beta (Aβ) pathology in LBD and contrast with AD subjects. We also correlate pathologic burden with antemortem episodic memory testing. METHODS Hippocampal sections from 49 autopsy-confirmed LBD cases, 30 with no/low AD copathology (LBD - AD) and 19 with moderate/severe AD copathology (LBD + AD), and 30 AD patients were stained for SYN, tau, and Aβ. Sections underwent digital histological analysis of subfield pathological burden which was correlated with antemortem memory testing. RESULTS LBD - AD and LBD + AD had similar severity and distribution of SYN pathology (P > 0.05), CA2/3 being the most affected subfield (P < 0.02). In LBD, SYN correlated with tau across subfields (R = 0.49, P < 0.001). Tau burden was higher in AD than LBD + AD (P < 0.001), CA1/subiculum and entorhinal cortex (ERC) being most affected regions (P = 0.04 to <0.01). However, tau pathology in LBD - AD was greatest in CA2/3, which was equivalent to LBD + AD. Aβ severity and distribution was similar between LBD + AD and AD. Total hippocampal tau and CA2/3 tau was inversely correlated with memory performance in LBD (R = -0.52, -0.69, P = 0.04, 0.009). CONCLUSIONS Our findings suggest that tau burden in hippocampal subfields may map closely with the distribution of SYN pathology in subfield CA2/3 in LBD diverging from traditional AD and contribute to episodic memory dysfunction in LBD.
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Affiliation(s)
- D G Coughlin
- Penn Digital Neuropathology Laboratory at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Department of Neurology at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Department of Neurosciences, University California San Diego, San Diego, CA, USA
| | - R Ittyerah
- Department of Radiology at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - C Peterson
- Penn Digital Neuropathology Laboratory at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Department of Neurology at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - J S Phillips
- Penn Digital Neuropathology Laboratory at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Department of Neurology at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Frontotemporal Dementia Center at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - S Miller
- Penn Digital Neuropathology Laboratory at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - K Rascovsky
- Department of Neurology at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Frontotemporal Dementia Center at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - D Weintraub
- Department of Neurology at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,LBDA Research Center of Excellence at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Michael J. Crescenz VA Medical Center, Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA, USA
| | - A D Siderowf
- Department of Neurology at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,LBDA Research Center of Excellence at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - J E Duda
- Department of Neurology at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,LBDA Research Center of Excellence at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Michael J. Crescenz VA Medical Center, Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA, USA
| | - H I Hurtig
- Department of Neurology at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - D A Wolk
- Department of Neurology at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Alzheimer's disease Research Center at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - C T McMillan
- Department of Neurology at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Frontotemporal Dementia Center at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - P A Yushkevich
- Department of Radiology at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - M Grossman
- Department of Neurology at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Frontotemporal Dementia Center at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - E B Lee
- Department of Pathology at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Center for Neurodegenerative Disease Research at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - J Q Trojanowski
- Department of Pathology at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Center for Neurodegenerative Disease Research at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - D J Irwin
- Penn Digital Neuropathology Laboratory at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Department of Neurology at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Frontotemporal Dementia Center at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,LBDA Research Center of Excellence at the University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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26
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Coughlin DG, Phillips JS, Roll E, Peterson C, Lobrovich R, Rascovsky K, Ungrady M, Wolk DA, Das S, Weintraub D, Lee EB, Trojanowski JQ, Shaw LM, Vaishnavi S, Siderowf A, Nasrallah IM, Irwin DJ, McMillan CT. Multimodal in vivo and postmortem assessments of tau in Lewy body disorders. Neurobiol Aging 2020; 96:137-147. [PMID: 33002767 DOI: 10.1016/j.neurobiolaging.2020.08.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 07/30/2020] [Accepted: 08/03/2020] [Indexed: 12/12/2022]
Abstract
We compared regional retention of 18F-flortaucipir between 20 patients with Lewy body disorders (LBD), 12 Alzheimer's disease patients with positive amyloid positron emission tomography (PET) scans (AD+Aβ) and 15 healthy controls with negative amyloid PET scans (HC-Aβ). In LBD subjects, we compared the relationship between 18F-flortaucipir retention and cerebrospinal fluid (CSF) tau, cognitive performance, and neuropathological tau at autopsy. The LBD cohort was stratified using an Aβ42 cut-off of 192 pg/mL to enrich for groups likely harboring tau pathology (LBD+Aβ = 11, LBD-Aβ = 9). 18F-flortaucipir retention was higher in LBD+AB than HC-Aβ in five, largely temporal-parietal regions with sparing of medial temporal regions. Higher retention was associated with higher CSF total-tau levels (p = 0.04), poorer domain-specific cognitive performance (p = 0.02-0.04), and greater severity of neuropathological tau in corresponding regions. While 18F-flortaucipir retention in LBD is intermediate between healthy controls and AD, retention relates to cognitive impairment, CSF total-tau, and neuropathological tau. Future work in larger autopsy-validated cohorts is needed to define LBD-specific tau biomarker profiles.
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Affiliation(s)
- David G Coughlin
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Digital Neuropathology Laboratory, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Lewy Body Disease Center of Excellence, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Jeffrey S Phillips
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Frontotemporal Degeneration Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Emily Roll
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Frontotemporal Degeneration Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Claire Peterson
- Digital Neuropathology Laboratory, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Rebecca Lobrovich
- Digital Neuropathology Laboratory, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Katya Rascovsky
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Frontotemporal Degeneration Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Molly Ungrady
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Frontotemporal Degeneration Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - David A Wolk
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Alzheimer's Disease Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Sandhitsu Das
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Alzheimer's Disease Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel Weintraub
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Michael J. Crescenz VA Medical Center, Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA, USA
| | - Edward B Lee
- Alzheimer's Disease Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Pathology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - John Q Trojanowski
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Alzheimer's Disease Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Pathology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Center for Neurodegenerative Disease Research, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Leslie M Shaw
- Department of Pathology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Sanjeev Vaishnavi
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Lewy Body Disease Center of Excellence, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Andrew Siderowf
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Lewy Body Disease Center of Excellence, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Ilya M Nasrallah
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - David J Irwin
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Digital Neuropathology Laboratory, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Lewy Body Disease Center of Excellence, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Frontotemporal Degeneration Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Corey T McMillan
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA; Frontotemporal Degeneration Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
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Cornblath EJ, Robinson JL, Irwin DJ, Lee EB, Lee VMY, Trojanowski JQ, Bassett DS. Defining and predicting transdiagnostic categories of neurodegenerative disease. Nat Biomed Eng 2020; 4:787-800. [PMID: 32747831 PMCID: PMC7946378 DOI: 10.1038/s41551-020-0593-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Accepted: 06/25/2020] [Indexed: 11/09/2022]
Abstract
The prevalence of concomitant proteinopathies and heterogeneous clinical symptoms in neurodegenerative diseases hinders the identification of individuals who might be candidates for a particular intervention. Here, by applying an unsupervised clustering algorithm to post-mortem histopathological data from 895 patients with degeneration in the central nervous system, we show that six non-overlapping disease clusters can simultaneously account for tau neurofibrillary tangles, α-synuclein inclusions, neuritic plaques, inclusions of the transcriptional repressor TDP-43, angiopathy, neuron loss and gliosis. We also show that membership to the six transdiagnostic disease clusters, which explains more variance in cognitive phenotypes than can be explained by individual diagnoses, can be accurately predicted from scores of the Mini-Mental Status Exam, protein levels in cerebrospinal fluid, and genotype at the APOE and MAPT loci, via cross-validated multiple logistic regression. This combination of unsupervised and supervised data-driven tools provides a framework that could be used to identify latent disease subtypes in other areas of medicine.
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Affiliation(s)
- Eli J Cornblath
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
| | - John L Robinson
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David J Irwin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Edward B Lee
- Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Virginia M-Y Lee
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Danielle S Bassett
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA.
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Physics and Astronomy, College of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Electrical and Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Santa Fe Institute, Santa Fe, NM, USA.
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28
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Choudhury P, Scharf EL, Paolini MA, Graff-Radford J, Alden EC, Machulda MM, Jones DT, Fields JA, Murray ME, Graff-Radford NR, Constantopoulos E, Reichard RR, Knopman DS, Duffy JR, Dickson DW, Parisi JE, Josephs KA, Petersen RC, Boeve BF. Pick's disease: clinicopathologic characterization of 21 cases. J Neurol 2020; 267:2697-2704. [PMID: 32440921 DOI: 10.1007/s00415-020-09927-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 05/13/2020] [Accepted: 05/15/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Pick's disease (PiD) is a unique subtype of frontotemporal lobar degeneration characterized pathologically by aggregates of 3-Repeat tau. Few studies have examined the clinical variability and disease progression in PiD. We describe the clinical features, neuropsychological profiles and coexistent pathologies in 21 cases of autopsy-confirmed PiD. METHODS This study was a retrospective analysis of patients with Pick's disease evaluated at Mayo Clinic, Rochester or Jacksonville (1995-2018), and identified through an existing database. RESULTS Twenty-one cases with sufficient clinical data were identified. Behavioral variant FTD (bvFTD; 12/21) was the most common phenotype, followed by primary progressive aphasia (PPA; 7/21), corticobasal syndrome (CBS; 1/21) and amnestic dementia (1/21). Median age at disease onset was 54 years, with PPA cases (median = 52 years) presenting earlier than bvFTD (median = 59). Median disease duration (onset-death) overall was 10 years and did not differ significantly between bvFTD (median = 9.5 years) and PPA (median = 13). Age at death was not significantly different in PPA (median = 66) compared to bvFTD (median = 68.5). A third of the cases (n = 7/21) demonstrated pure PiD pathology, while the remainder showed co-existent other pathologies including Alzheimer's type (n = 6), cerebral amyloid angiopathy (n = 3), combined Alzheimer's and amyloid angiopathy (n = 4), and Lewy body disease (n = 1). CONCLUSIONS Our study shows that bvFTD and PPA are the most common clinical phenotypes associated with PiD, although rare presentations such as CBS were also seen. Coexisting non-Pick's pathology was also present in many cases. Our study highlights the clinical and pathologic heterogeneity in PiD.
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Affiliation(s)
- Parichita Choudhury
- Department of Neurology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | - Eugene L Scharf
- Department of Neurology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | - Michael A Paolini
- Department of Molecular and Cellular Medicine, Texas A&M, College Station, TX, USA
| | | | - Eva C Alden
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - David T Jones
- Department of Neurology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | - Julie A Fields
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Eleni Constantopoulos
- Department of Laboratory Medicine and Pathology (Neuropathology), Mayo Clinic, Rochester, MN, USA
| | - Ross R Reichard
- Department of Laboratory Medicine and Pathology (Neuropathology), Mayo Clinic, Rochester, MN, USA
| | - David S Knopman
- Department of Neurology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | - Joseph R Duffy
- Department of Neurology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | | | - Joseph E Parisi
- Department of Neurology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA.,Department of Laboratory Medicine and Pathology (Neuropathology), Mayo Clinic, Rochester, MN, USA
| | - Keith A Josephs
- Department of Neurology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | - Ronald C Petersen
- Department of Neurology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | - Bradley F Boeve
- Department of Neurology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA.
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29
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Giannini LAA, Xie SX, Peterson C, Zhou C, Lee EB, Wolk DA, Grossman M, Trojanowski JQ, McMillan CT, Irwin DJ. Empiric Methods to Account for Pre-analytical Variability in Digital Histopathology in Frontotemporal Lobar Degeneration. Front Neurosci 2019; 13:682. [PMID: 31333403 PMCID: PMC6616086 DOI: 10.3389/fnins.2019.00682] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 06/14/2019] [Indexed: 12/12/2022] Open
Abstract
Digital pathology is increasingly prominent in neurodegenerative disease research, but variability in immunohistochemical staining intensity between staining batches prevents large-scale comparative studies. Here we provide a statistically rigorous method to account for staining batch effects in a large sample of brain tissue with frontotemporal lobar degeneration with tau inclusions (FTLD-Tau, N = 39) or TDP-43 inclusions (FTLD-TDP, N = 53). We analyzed the relationship between duplicate measurements of digital pathology, i.e., percent area occupied by pathology (%AO) for grey matter (GM) and white matter (WM), from two distinct staining batches. We found a significant difference in duplicate measurements from distinct staining batches in FTLD-Tau (mean difference: GM = 1.13 ± 0.44, WM = 1.28 ± 0.56; p < 0.001) and FTLD-TDP (GM = 0.95 ± 0.66, WM = 0.90 ± 0.77; p < 0.001), and these measurements were linearly related (R-squared [Rsq]: FTLD-Tau GM = 0.92, WM = 0.92; FTLD-TDP GM = 0.75, WM = 0.78; p < 0.001 all). We therefore used linear regression to transform %AO from distinct staining batches into equivalent values. Using a train-test set design, we examined transformation prerequisites (i.e., Rsq) from linear-modeling in training sets, and we applied equivalence factors (i.e., beta, intercept) to independent testing sets to determine transformation outcomes (i.e., intraclass correlation coefficient [ICC]). First, random iterations (×100) of linear regression showed that smaller training sets (N = 12–24), feasible for prospective use, have acceptable transformation prerequisites (mean Rsq: FTLD-Tau ≥0.9; FTLD-TDP ≥0.7). When cross-validated on independent complementary testing sets, in FTLD-Tau, N = 12 training sets resulted in 100% of GM and WM transformations with optimal transformation outcomes (ICC ≥ 0.8), while in FTLD-TDP N = 24 training sets resulted in optimal ICC in testing sets (GM = 72%, WM = 98%). We therefore propose training sets of N = 12 in FTLD-Tau and N = 24 in FTLD-TDP for prospective transformations. Finally, the transformation enabled us to significantly reduce batch-related difference in duplicate measurements in FTLD-Tau (GM/WM: p < 0.001 both) and FTLD-TDP (GM/WM: p < 0.001 both), and to decrease the necessary sample size estimated in a power analysis in FTLD-Tau (GM:-40%; WM: -34%) and FTLD-TDP (GM: -20%; WM: -30%). Finally, we tested generalizability of our approach using a second, open-source, image analysis platform and found similar results. We concluded that a small sample of tissue stained in duplicate can be used to account for pre-analytical variability such as staining batch effects, thereby improving methods for future studies.
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Affiliation(s)
- Lucia A A Giannini
- Penn Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Department of Neurology, University Medical Center Groningen - University of Groningen, Groningen, Netherlands
| | - Sharon X Xie
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Claire Peterson
- Penn Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Cecilia Zhou
- Penn Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Edward B Lee
- Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Alzheimer's Disease Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - David A Wolk
- Alzheimer's Disease Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - John Q Trojanowski
- Alzheimer's Disease Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Corey T McMillan
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - David J Irwin
- Penn Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.,Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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30
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Giannini LAA, Xie SX, McMillan CT, Liang M, Williams A, Jester C, Rascovsky K, Wolk DA, Ash S, Lee EB, Trojanowski JQ, Grossman M, Irwin DJ. Divergent patterns of TDP-43 and tau pathologies in primary progressive aphasia. Ann Neurol 2019; 85:630-643. [PMID: 30851133 PMCID: PMC6538935 DOI: 10.1002/ana.25465] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Revised: 03/06/2019] [Accepted: 03/07/2019] [Indexed: 01/08/2023]
Abstract
OBJECTIVE To measure postmortem burden of frontotemporal lobar degeneration (FTLD) with TDP-43 (FTLD-TDP) or tau (FTLD-Tau) proteinopathy across hemispheres in primary progressive aphasia (PPA) using digital histopathology and to identify clinicopathological correlates of these distinct proteinopathies. METHODS In an autopsy cohort of PPA (FTLD-TDP = 13, FTLD-Tau = 14), we analyzed laterality and regional distribution of postmortem pathology, quantified using a validated digital histopathological approach, in available brain tissue from up to 8 cortical regions bilaterally. We related digital pathology to antemortem structural neuroimaging and specific clinical language features. RESULTS Postmortem cortical pathology was left-lateralized in both FTLD-TDP (beta = -0.15, standard error [SE] = 0.05, p = 0.007) and FTLD-Tau (beta = -0.09, SE = 0.04, p = 0.015), but the degree of lateralization decreased with greater overall dementia severity before death (beta = -8.18, SE = 3.22, p = 0.015). Among 5 core pathology regions sampled, we found greatest pathology in left orbitofrontal cortex (OFC) in FTLD-TDP, which was greater than in FTLD-Tau (F = 47.07, df = 1,17, p < 0.001), and in left midfrontal cortex (MFC) in FTLD-Tau, which was greater than in FTLD-TDP (F = 19.34, df = 1,16, p < 0.001). Postmortem pathology was inversely associated with antemortem magnetic resonance imaging cortical thickness (beta = -0.04, SE = 0.01, p = 0.007) in regions matching autopsy sampling. Irrespective of PPA syndromic variant, single-word comprehension impairment was associated with greater left OFC pathology (t = -3.72, df = 10.72, p = 0.004) and nonfluent speech with greater left MFC pathology (t = -3.62, df = 12.00, p = 0.004) among the 5 core pathology regions. INTERPRETATION In PPA, FTLD-TDP and FTLD-Tau have divergent anatomic distributions of left-lateralized postmortem pathology that relate to antemortem structural imaging and distinct language deficits. Although other brain regions may be implicated in neural networks supporting these complex language measures, our observations may eventually help to improve antemortem diagnosis of neuropathology in PPA. Ann Neurol 2019;85:630-643.
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Affiliation(s)
- Lucia A A Giannini
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Sharon X Xie
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Corey T McMillan
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Mendy Liang
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Andrew Williams
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Charles Jester
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Katya Rascovsky
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - David A Wolk
- Alzheimer's Disease Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Sharon Ash
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Edward B Lee
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - David J Irwin
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Digital Neuropathology Laboratory, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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31
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Irwin DJ, McMillan CT, Xie SX, Rascovsky K, Van Deerlin VM, Coslett HB, Hamilton R, Aguirre GK, Lee EB, Lee VMY, Trojanowski JQ, Grossman M. Asymmetry of post-mortem neuropathology in behavioural-variant frontotemporal dementia. Brain 2019; 141:288-301. [PMID: 29228211 DOI: 10.1093/brain/awx319] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Accepted: 10/14/2017] [Indexed: 12/12/2022] Open
Abstract
Antemortem behavioural and anatomic abnormalities have largely been associated with right hemisphere disease in behavioural-variant frontotemporal dementia, but post-mortem neuropathological examination of bilateral hemispheres remains to be defined. Here we measured the severity of post-mortem pathology in both grey and white matter using a validated digital image analysis method in four cortical regions sampled from each hemisphere in 26 patients with behavioural-variant frontotemporal dementia, including those with frontotemporal degeneration (i.e. tau = 9, TDP-43 = 14, or FUS = 1 proteinopathy) or Alzheimer's pathology (n = 2). We calculated an asymmetry index based on the difference in measured pathology from each left-right sample pair. Analysis of the absolute value of the asymmetry index (i.e. degree of asymmetry independent of direction) revealed asymmetric pathology for both grey and white matter in all four regions sampled in frontototemporal degeneration patients with tau or TDP-43 pathology (P ≤ 0.01). Direct interhemispheric comparisons of regional pathology measurements within-subjects in the combined tauopathy and TDP-43 proteinopathy group found higher pathology in the right orbitofrontal grey matter compared to the left (P < 0.01) and increased pathology in ventrolateral temporal lobe grey matter of the left hemisphere compared to the right (P < 0.02). Preliminary group-wise comparisons between tauopathy and TDP-43 proteinopathy groups found differences in patterns of interhemispheric burden of grey and white matter regional pathology, with greater relative white matter pathology in tauopathies. To test the association of pathology measurement with ante-mortem observations, we performed exploratory analyses in the subset of patients with imaging data (n = 15) and found a direct association for increasing pathologic burden with decreasing cortical thickness in frontotemporal regions on ante-mortem imaging in tauopathy (P = 0.001) and a trend for TDP-43 proteinopathy (P = 0.06). Exploratory clinicopathological correlations demonstrated an association of socially-inappropriate behaviours with asymmetric right orbitofrontal grey matter pathology, and reduced semantically-guided category naming fluency was associated asymmetric white matter pathology in the left ventrolateral temporal region. We conclude that pathologic disease burden is distributed asymmetrically in behavioural-variant frontotemporal dementia, although not universally in the right hemisphere, and this asymmetry contributes to the clinical heterogeneity of the disorder. The basis for this asymmetric profile is enigmatic but may reflect distinct species or strains of tau and TDP-43 pathologies with propensities to spread by distinct cell- and region-specific mechanisms. Patterns of region-specific pathology in the right hemisphere as well as the left hemisphere may play a role in antemortem clinical observations, and these observations may contribute to antemortem identification of molecular pathology in frontotemporal degeneration.
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Affiliation(s)
- David J Irwin
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Corey T McMillan
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sharon X Xie
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Katya Rascovsky
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Vivianna M Van Deerlin
- Alzheimer's Disease Core Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - H Branch Coslett
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Center for Cognitive Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Roy Hamilton
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Center for Cognitive Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Geoffrey K Aguirre
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Center for Cognitive Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Edward B Lee
- Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Alzheimer's Disease Core Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Translational Neuropathology Research Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Virginia M Y Lee
- Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Alzheimer's Disease Core Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Alzheimer's Disease Core Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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Alcolea D, Irwin DJ, Illán-Gala I, Muñoz L, Clarimón J, McMillan CT, Fortea J, Blesa R, Lee EB, Trojanowski JQ, Grossman M, Lleó A. Elevated YKL-40 and low sAPPβ:YKL-40 ratio in antemortem cerebrospinal fluid of patients with pathologically confirmed FTLD. J Neurol Neurosurg Psychiatry 2019; 90:180-186. [PMID: 30297518 PMCID: PMC6351153 DOI: 10.1136/jnnp-2018-318993] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Revised: 08/23/2018] [Accepted: 08/27/2018] [Indexed: 12/13/2022]
Abstract
OBJECTIVES The combination of high YKL-40 (a glial inflammatory marker) and low sAPPβ (a soluble β fragment of amyloid precursor protein) in cerebrospinal fluid (CSF) has been associated with frontotemporal lobar degeneration (FTLD) in clinical series. We investigate these biomarkers in a neuropathologically confirmed cohort of patients with FTLD. METHODS CSF samples were selected from the Penn FTD Center (University of Pennsylvania). Participants were followed to autopsy and had a neuropathological diagnosis of FTLD-Tau (n=24), transactive response DNA-binding protein with 43 kDa (FTLD-TDP) (n=25) or Alzheimer's disease (AD, n=97). We compared levels of YKL-40 and sAPPβ between groups and with cognitively normal controls (n=77), and assessed their diagnostic utility using receiver operating characteristic curves. We also investigated the effect of AD copathology and the correlation between these CSF markers and tau burden at autopsy. RESULTS Both FTLD groups had lower levels of sAPPβ, higher levels of YKL-40 and lower sAPPβ:YKL-40 ratio in CSF compared with controls. The group of pure FTLD-Tau (without AD copathology) showed higher levels of YKL-40 than AD and than pure FTLD-TDP. YKL-40 levels correlated with pathological tau burden. The sAPPβ:YKL-40 ratio had an area under the curve (AUC) of 0.91 (95% CI 0.86 to 0.96) to distinguish subjects with FTLD from controls, but lower values to distinguish FTLD from AD (AUC 0.70; 95% CI 0.61 to 0.79) and to discriminate FTLD-Tau from FTLD-TDP (AUC 0.67; 95% CI 0.51 to 0.82). CONCLUSIONS Our study provides pathological confirmation that the combination of low sAPPβ and high YKL-40 in CSF is associated with FTLD. These biomarkers could be useful in particular clinical settings when FTLD is suspected.
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Affiliation(s)
- Daniel Alcolea
- Sant Pau Memory Unit, Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - David J Irwin
- Penn FTD Center, Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ignacio Illán-Gala
- Sant Pau Memory Unit, Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Laia Muñoz
- Sant Pau Memory Unit, Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Jordi Clarimón
- Sant Pau Memory Unit, Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Corey T McMillan
- Penn FTD Center, Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Juan Fortea
- Sant Pau Memory Unit, Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
| | - Rafael Blesa
- Sant Pau Memory Unit, Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, 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, Pennsylvania, 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, Pennsylvania, USA
| | - Murray Grossman
- Penn FTD Center, Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Alberto Lleó
- Sant Pau Memory Unit, Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau - Hospital de Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain .,Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
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Coughlin D, Xie SX, Liang M, Williams A, Peterson C, Weintraub D, McMillan CT, Wolk DA, Akhtar RS, Hurtig HI, Branch Coslett H, Hamilton RH, Siderowf AD, Duda JE, Rascovsky K, Lee EB, Lee VMY, Grossman M, Trojanowski JQ, Irwin DJ. Cognitive and Pathological Influences of Tau Pathology in Lewy Body Disorders. Ann Neurol 2019; 85:259-271. [PMID: 30549331 DOI: 10.1002/ana.25392] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Revised: 12/04/2018] [Accepted: 12/05/2018] [Indexed: 01/04/2023]
Abstract
OBJECTIVE To use digital histology in a large autopsy cohort of Lewy body disorder (LBD) patients with dementia to test the hypotheses that co-occurring Alzheimer disease (AD) pathology impacts the anatomic distribution of α-synuclein (SYN) pathology and that co-occurring neocortical tau pathology in LBDs associates with worse cognitive performance and occurs in a pattern differing from AD. METHODS Fifty-five autopsy-confirmed LBD (Parkinson disease with dementia, n = 36; dementia with Lewy bodies, n = 19) patients and 25 AD patients were studied. LBD patients were categorized as having moderate/severe AD copathology (SYN + AD = 20) or little/no AD copathology (SYN-AD = 35). Digital measures of tau, β-amyloid (Aβ), and SYN histopathology in neocortical and subcortical/limbic regions were compared between groups and related to antemortem cognitive testing. RESULTS SYN burden was higher in SYN + AD than SYN-AD in each neocortical region (F1, 54 = 5.6-6.0, p < 0.02) but was equivalent in entorhinal cortex and putamen (F1, 43-49 = 0.7-1.7, p > 0.2). SYN + AD performed worse than SYN-AD on a temporal lobe-mediated naming task (t27 = 2.1, p = 0.04). Antemortem cognitive test scores inversely correlated with tau burden (r = -0.39 to -0.68, p < 0.05). AD had higher tau than SYN + AD in all regions (F1, 43 = 12.8-97.2, p < 0.001); however, SYN + AD had a greater proportion of tau in the temporal neocortex than AD (t41 = 2.0, p < 0.05), whereas AD had a greater proportion of tau in the frontal neocortex than SYN + AD (t41 = 3.3, p < 0.002). SYN + AD had similar severity and distribution of neocortical Aβ compared to AD (F1, 40-43 = 1.6-2.0, p > 0.1). INTERPRETATION LBD patients with AD copathology harbor greater neocortical SYN pathology. Regional tau pathology relates to cognitive performance in LBD dementia, and its distribution may diverge from pure AD. Tau copathology contributes uniquely to the heterogeneity of cognitive impairment in LBD. Ann Neurol 2018; 1-13 ANN NEUROL 2019;85:259-271.
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Affiliation(s)
- David Coughlin
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Digital Neuropathology Laboratory, Perelman School of Medicine at the University of Pennsylvania.,Frontotemporal Dementia Center, Perelman School of Medicine at the University of Pennsylvania.,Parkinson's Disease and Movement Disorders Center, Perelman School of Medicine at the University of Pennsylvania
| | - Sharon X Xie
- Alzheimer's Disease Center, Perelman School of Medicine at the University of Pennsylvania.,Department of Biostatistics, Epidemiology and Informatics Perelman School of Medicine at the University of Pennsylvania
| | - Mendy Liang
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Digital Neuropathology Laboratory, Perelman School of Medicine at the University of Pennsylvania
| | - Andrew Williams
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Digital Neuropathology Laboratory, Perelman School of Medicine at the University of Pennsylvania
| | - Claire Peterson
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Digital Neuropathology Laboratory, Perelman School of Medicine at the University of Pennsylvania
| | - Daniel Weintraub
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Parkinson's Disease and Movement Disorders Center, Perelman School of Medicine at the University of Pennsylvania.,Michael J. Crescenz VA Medical Center, Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA, USA 19104
| | - Corey T McMillan
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Frontotemporal Dementia Center, Perelman School of Medicine at the University of Pennsylvania
| | - David A Wolk
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Alzheimer's Disease Center, Perelman School of Medicine at the University of Pennsylvania
| | - Rizwan S Akhtar
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Parkinson's Disease and Movement Disorders Center, Perelman School of Medicine at the University of Pennsylvania
| | - Howard I Hurtig
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Parkinson's Disease and Movement Disorders Center, Perelman School of Medicine at the University of Pennsylvania
| | - H Branch Coslett
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Center for Cognitive Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Roy H Hamilton
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Center for Cognitive Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Andrew D Siderowf
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Parkinson's Disease and Movement Disorders Center, Perelman School of Medicine at the University of Pennsylvania
| | - John E Duda
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Michael J. Crescenz VA Medical Center, Parkinson's Disease Research, Education, and Clinical Center, Philadelphia, PA, USA 19104
| | - Katya Rascovsky
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Frontotemporal Dementia Center, Perelman School of Medicine at the University of Pennsylvania
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania.,Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania.,Alzheimer's Disease Center, Perelman School of Medicine at the University of Pennsylvania
| | - Virginia M-Y Lee
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania.,Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania.,Alzheimer's Disease Center, Perelman School of Medicine at the University of Pennsylvania
| | - Murray Grossman
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Frontotemporal Dementia Center, Perelman School of Medicine at the University of Pennsylvania
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania.,Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania.,Alzheimer's Disease Center, Perelman School of Medicine at the University of Pennsylvania
| | - David J Irwin
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania.,Digital Neuropathology Laboratory, Perelman School of Medicine at the University of Pennsylvania.,Frontotemporal Dementia Center, Perelman School of Medicine at the University of Pennsylvania
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Patient-derived frontotemporal lobar degeneration brain extracts induce formation and spreading of TDP-43 pathology in vivo. Nat Commun 2018; 9:4220. [PMID: 30310141 PMCID: PMC6181940 DOI: 10.1038/s41467-018-06548-9] [Citation(s) in RCA: 152] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Accepted: 08/14/2018] [Indexed: 12/12/2022] Open
Abstract
The stereotypical distribution of TAR DNA-binding 43 protein (TDP-43) aggregates in frontotemporal lobar degeneration (FTLD-TDP) suggests that pathological TDP-43 spreads throughout the brain via cell-to-cell transmission and correlates with disease progression, but no in vivo experimental data support this hypothesis. We first develop a doxycycline-inducible cell line expressing GFP-tagged cytoplasmic TDP-43 protein (iGFP-NLSm) as a cell-based system to screen and identify seeding activity of human brain-derived pathological TDP-43 isolated from sporadic FTLD-TDP and familial cases with Granulin (FTLD-TDP-GRN) or C9orf72 repeat expansion mutations (FTLD-TDP-C9+). We demonstrate that intracerebral injections of biologically active pathogenic FTLD-TDP seeds into transgenic mice expressing cytoplasmic human TDP-43 (lines CamKIIa-hTDP-43NLSm, rNLS8, and CamKIIa-208) and non-transgenic mice led to the induction of de-novo TDP-43 pathology. Moreover, TDP-43 pathology progressively spreads throughout the brain in a time-dependent manner via the neuroanatomic connectome. Our study suggests that the progression of FTLD-TDP reflects the templated cell-to-cell transneuronal spread of pathological TDP-43.
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35
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Pallebage-Gamarallage M, Foxley S, Menke RAL, Huszar IN, Jenkinson M, Tendler BC, Wang C, Jbabdi S, Turner MR, Miller KL, Ansorge O. Dissecting the pathobiology of altered MRI signal in amyotrophic lateral sclerosis: A post mortem whole brain sampling strategy for the integration of ultra-high-field MRI and quantitative neuropathology. BMC Neurosci 2018; 19:11. [PMID: 29529995 PMCID: PMC5848544 DOI: 10.1186/s12868-018-0416-1] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Accepted: 03/02/2018] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a clinically and histopathologically heterogeneous neurodegenerative disorder, in which therapy is hindered by the rapid progression of disease and lack of biomarkers. Magnetic resonance imaging (MRI) has demonstrated its potential for detecting the pathological signature and tracking disease progression in ALS. However, the microstructural and molecular pathological substrate is poorly understood and generally defined histologically. One route to understanding and validating the pathophysiological correlates of MRI signal changes in ALS is to directly compare MRI to histology in post mortem human brains. RESULTS The article delineates a universal whole brain sampling strategy of pathologically relevant grey matter (cortical and subcortical) and white matter tracts of interest suitable for histological evaluation and direct correlation with MRI. A standardised systematic sampling strategy that was compatible with co-registration of images across modalities was established for regions representing phosphorylated 43-kDa TAR DNA-binding protein (pTDP-43) patterns that were topographically recognisable with defined neuroanatomical landmarks. Moreover, tractography-guided sampling facilitated accurate delineation of white matter tracts of interest. A digital photography pipeline at various stages of sampling and histological processing was established to account for structural deformations that might impact alignment and registration of histological images to MRI volumes. Combined with quantitative digital histology image analysis, the proposed sampling strategy is suitable for routine implementation in a high-throughput manner for acquisition of large-scale histology datasets. Proof of concept was determined in the spinal cord of an ALS patient where multiple MRI modalities (T1, T2, FA and MD) demonstrated sensitivity to axonal degeneration and associated heightened inflammatory changes in the lateral corticospinal tract. Furthermore, qualitative comparison of R2* and susceptibility maps in the motor cortex of 2 ALS patients demonstrated varying degrees of hyperintense signal changes compared to a control. Upon histological evaluation of the same region, intensity of signal changes in both modalities appeared to correspond primarily to the degree of microglial activation. CONCLUSION The proposed post mortem whole brain sampling methodology enables the accurate intraindividual study of pathological propagation and comparison with quantitative MRI data, to more fully understand the relationship of imaging signal changes with underlying pathophysiology in ALS.
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Affiliation(s)
| | - Sean Foxley
- 0000 0004 1936 8948grid.4991.5Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- 0000 0004 1936 8948grid.4991.5Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- 0000 0004 1936 7822grid.170205.1Department of Radiology, University of Chicago, Chicago, IL USA
| | - Ricarda A. L. Menke
- 0000 0004 1936 8948grid.4991.5Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- 0000 0004 1936 8948grid.4991.5Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Istvan N. Huszar
- 0000 0004 1936 8948grid.4991.5Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- 0000 0004 1936 8948grid.4991.5Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Mark Jenkinson
- 0000 0004 1936 8948grid.4991.5Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- 0000 0004 1936 8948grid.4991.5Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Benjamin C. Tendler
- 0000 0004 1936 8948grid.4991.5Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- 0000 0004 1936 8948grid.4991.5Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Chaoyue Wang
- 0000 0004 1936 8948grid.4991.5Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- 0000 0004 1936 8948grid.4991.5Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Saad Jbabdi
- 0000 0004 1936 8948grid.4991.5Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- 0000 0004 1936 8948grid.4991.5Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Martin R. Turner
- 0000 0004 1936 8948grid.4991.5Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- 0000 0004 1936 8948grid.4991.5Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Karla L. Miller
- 0000 0004 1936 8948grid.4991.5Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- 0000 0004 1936 8948grid.4991.5Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Olaf Ansorge
- 0000 0004 1936 8948grid.4991.5Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
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Phillips JS, Da Re F, Dratch L, Xie SX, Irwin DJ, McMillan CT, Vaishnavi SN, Ferrarese C, Lee EB, Shaw LM, Trojanowski JQ, Wolk DA, Grossman M. Neocortical origin and progression of gray matter atrophy in nonamnestic Alzheimer's disease. Neurobiol Aging 2017; 63:75-87. [PMID: 29223682 DOI: 10.1016/j.neurobiolaging.2017.11.008] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2017] [Revised: 10/27/2017] [Accepted: 11/15/2017] [Indexed: 12/12/2022]
Abstract
Amnestic Alzheimer's disease (AD) is characterized by early atrophy of the hippocampus and medial temporal lobes before spreading to the neocortex. In contrast, nonamnestic Alzheimer's patients have relative sparing of the hippocampus, but the pattern in which the disease spreads is unclear. We examined spreading disease in nonamnestic AD using a novel magnetic resonance imaging-based analysis adapted from pathologic staging studies, applied here to cross-sectional imaging data. We selected 240 T1-weighted scans from 129 patients with pathology confirmed by autopsy or cerebrospinal fluid, and atrophy maps were computed relative to 238 scans from 115 elderly controls. For each phenotype, the frequency of atrophy in 116 brain regions was used to infer the anatomical origin of disease and its progression across 4 phases of atrophy. Results from the amnestic cohort were used to determine appropriate parameter settings for the phase assignment algorithm, based on correspondence to Braak pathology staging. Phase 1 regions, which represent the origin of disease, included the hippocampus for the amnestic group (comprising 33 scans); left lateral temporal lobe for logopenic-variant primary progressive aphasia (88 scans); occipitoparietal cortex for posterior cortical atrophy (51 scans); temporoparietal cortex for corticobasal syndrome (31 scans); and frontotemporal cortex for behavioral/dysexecutive variant AD (37 scans). In nonamnestic patients, atrophy spread to other neocortical areas in later phases, but the hippocampus exhibited only late-phase atrophy in posterior cortical atrophy and corticobasal syndrome. Region-specific phase values were also associated with regional measures of tau, beta amyloid, neuronal loss, and gliosis for the subset of patients (n = 17) with neuropathology findings; this comparison represented a first validation of the phase assignment algorithm. We subsequently assigned a phase to each patient scan based on the similarity of regional atrophy patterns with atrophy predicted for the corresponding phenotype at each phase. Scan-specific phases were correlated with disease duration as well as global and domain-specific cognition, supporting these phase values as global estimates of patients' disease progression. Logistic regression models based on spatial overlap with model-predicted atrophy patterns reliably discriminated nonamnestic phenotypes from each other and from amnestic AD. The frequency-based phase assignment algorithm used in the present study thus represents a promising approach for studying the neocortical origin and spread of disease in nonamnestic AD.
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Affiliation(s)
- Jeffrey S Phillips
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Fulvio Da Re
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA; PhD Program in Neuroscience, University of Milano-Bicocca, Milan, Italy; School of Medicine and Surgery, Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
| | - Laynie Dratch
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Sharon X Xie
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David J Irwin
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Corey T McMillan
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sanjeev N Vaishnavi
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Carlo Ferrarese
- School of Medicine and Surgery, Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
| | - Edward B Lee
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA
| | - Leslie M Shaw
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA
| | - David A Wolk
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Penn Memory Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Yousef A, Robinson JL, Irwin DJ, Byrne MD, Kwong LK, Lee EB, Xu Y, Xie SX, Rennert L, Suh E, Van Deerlin VM, Grossman M, Lee VMY, Trojanowski JQ. Neuron loss and degeneration in the progression of TDP-43 in frontotemporal lobar degeneration. Acta Neuropathol Commun 2017; 5:68. [PMID: 28877758 PMCID: PMC5586052 DOI: 10.1186/s40478-017-0471-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Accepted: 08/28/2017] [Indexed: 12/11/2022] Open
Abstract
Frontotemporal lobar degeneration with TDP-43 inclusions (FTLD-TDP) is associated with the accumulation of pathological neuronal and glial intracytoplasmic inclusions as well as accompanying neuron loss. We explored if cortical neurons detected by NeuN decreased with increasing TDP-43 inclusion pathology in the postmortem brains of 63 patients with sporadic and familial FTLD-TDP. Semi-automated quantitative algorithms to quantify histology in tissue sections stained with antibodies specific for pathological or phosphorylated TDP-43 (pTDP-43) and NeuN were developed and validated in affected (cerebral cortex) and minimally affected (cerebellar cortex) brain regions of FTLD-TDP cases. Immunohistochemistry (IHC) for NeuN and other neuronal markers found numerous neurons lacking reactivity, suggesting NeuN may reflect neuron health rather than neuron loss in FTLD. We found three patterns of NeuN and pTDP-43 reactivity in our sample of cortical tissue representing three intracortical region-specific stages of FTLD-TDP progression: Group 1 showed low levels of pathological pTDP-43 and high levels NeuN, while Group 2 showed increased levels of pTDP-43, and Group 3 tissues were characterized by reduced staining for both pTDP-43 and NeuN. Comparison of non-C9orf72/GRN FTLD-TDP with cases linked to both GRN mutations and C9orf72 expansions showed a significantly increased frequency of Group 3 histopathology in the latter cases, suggesting more advanced cortical disease. Hence, we propose that IHC profiles of pTDP-43 and NeuN reflect the burden of pTDP-43 and its deleterious effects on neuron health.
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Kovacs GG, Yousef A, Kaindl S, Lee VM, Trojanowski JQ. Connexin-43 and aquaporin-4 are markers of ageing-related tau astrogliopathy (ARTAG)-related astroglial response. Neuropathol Appl Neurobiol 2017; 44:491-505. [PMID: 28755467 DOI: 10.1111/nan.12427] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2017] [Revised: 07/14/2017] [Accepted: 07/24/2017] [Indexed: 12/21/2022]
Abstract
AIMS Ageing-related tau astrogliopathy (ARTAG) appears in subependymal, subpial, perivascular, white matter (WM) and grey matter (GM) locations. Physical effects, blood-brain barrier dysfunction and blood- or vessel-related factors have been considered as aetiology. As connexin-43 (Cx43) and aquaporin-4 (AQP4) are related to these, we hypothesized that their immunoreactivity (IR) varies with ARTAG in a location-specific manner. METHODS We performed a morphometric immunohistochemical study measuring the densities of IR of Cx43, AQP4, AT8 (phospho-tau) and glial fibrillar acidic protein (GFAP). We analysed the amygdala and hippocampus in age-matched cases with (n = 19) and without (n = 20) ARTAG in each of the locations it aggregates. RESULTS We show a dramatic increase (>6-fold; P < 0.01) of Cx43 density of IR in ARTAG cases correlating strongly with AT8 density of IR, irrespective of the presence of neuronal tau pathology or reactive gliosis measured by GFAP density of IR, in the GM. In contrast, AQP4 density of IR was increased only in the WM and GM, and was associated with increased AT8 density of IR only in WM and perivascular areas. DISCUSSION Our study reveals distinctive astroglial responses in each of the locations associated with ARTAG. Our observations support the concept that factors related to brain-fluid interfaces and water-ion imbalances most likely play a role in the generation of ARTAG. As Cx43 is crucial for maintaining neuronal homeostasis, the ARTAG-dependent increase of Cx43 density of IR suggests that the development of ARTAG in the GM most likely indicates an early response to the degeneration of neurons.
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Affiliation(s)
- G G Kovacs
- Institute of Neurology, Medical University of Vienna, Vienna, Austria.,Center for Neurodegenerative Disease Research, Institute on Aging and Department of Pathology and Laboratory Medicine of the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - A Yousef
- Center for Neurodegenerative Disease Research, Institute on Aging and Department of Pathology and Laboratory Medicine of the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - S Kaindl
- Institute of Neurology, Medical University of Vienna, Vienna, Austria
| | - V M Lee
- Center for Neurodegenerative Disease Research, Institute on Aging and Department of Pathology and Laboratory Medicine of the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - J Q Trojanowski
- Center for Neurodegenerative Disease Research, Institute on Aging and Department of Pathology and Laboratory Medicine of the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
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39
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Irwin DJ, Lleó A, Xie SX, McMillan CT, Wolk DA, Lee EB, Van Deerlin VM, Shaw LM, Trojanowski JQ, Grossman M. Ante mortem cerebrospinal fluid tau levels correlate with postmortem tau pathology in frontotemporal lobar degeneration. Ann Neurol 2017; 82:247-258. [PMID: 28719018 DOI: 10.1002/ana.24996] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2016] [Revised: 07/07/2017] [Accepted: 07/12/2017] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To test the hypotheses that (1) antemortem cerebrospinal fluid (CSF) tau levels correlate with postmortem tau pathology in frontotemporal lobar degeneration (FTLD) and (2) tauopathy patients have higher phosphorylated-tau levels compared to transactivation response element DNA-binding protein 43 (TDP-43) proteinopathy patients while accounting for Alzheimer's disease (AD) copathology. METHODS Patients had autopsy-confirmed FTLD with tauopathy (n = 31), TDP-43 proteinopathy (n = 49), or AD (n = 26) with antemortem CSF. CSF tau levels were compared between groups and correlated with digital histology measurement of postmortem tau pathology averaged from three cerebral regions (angular gyrus, mid-frontal cortex, and anterior cingulate gyrus). Multivariate linear regression tested the association of ante mortem CSF tau levels with postmortem tau pathology adjusting for demographics. RESULTS Multivariate regression found an independent association of ante mortem CSF phosphorylated tau levels with postmortem cerebral tau pathology in FTLD (Beta = 1.3; 95% confidence interval = 0.2-2.4; p < 0.02). After excluding patients with coincident AD-associated tau pathology accompanying sporadic FTLD, we found lower CSF phosphorylated tau levels in the TDP-43 group (median = 7.4pg/ml; interquartile range [IQR] = 6.0, 12.3; n = 26) compared to the tauopathy group (median = 12.5pg/ml; IQR = 10.7, 15.0; n = 23; Z = 2.6; p < 0.01). INTERPRETATION CSF phosphorylated-tau levels are positively associated with cerebral tau burden in FTLD. In vivo detection of AD copathology in sporadic FTLD patients may help stratify clinical cohorts with pure neuropathology in which low CSF phosphorylated-tau levels may have diagnostic utility to distinguish TDP-43 proteinopathy from tauopathy. Autopsy-confirmed samples are critical for FTLD biomarker development and validation. Ann Neurol 2017;82:247-258.
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Affiliation(s)
- David J Irwin
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.,Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Alberto Lleó
- Department of Neurology, Institut d'Investigacions Biomèdiques Sant Pau, Hospital de Sant Pau, Barcelona, Spain and Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas, CIBERNED, Barcelona, Spain
| | - Sharon X Xie
- Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Corey T McMillan
- Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - David A Wolk
- Alzheimer's Disease Center, Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Edward B Lee
- Translational Neuropathology Lab, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Viviana M Van Deerlin
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Leslie M Shaw
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Murray Grossman
- Frontotemporal Degeneration Center, Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
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Querol-Vilaseca M, Colom-Cadena M, Pegueroles J, San Martín-Paniello C, Clarimon J, Belbin O, Fortea J, Lleó A. YKL-40 (Chitinase 3-like I) is expressed in a subset of astrocytes in Alzheimer's disease and other tauopathies. J Neuroinflammation 2017; 14:118. [PMID: 28599675 PMCID: PMC5466718 DOI: 10.1186/s12974-017-0893-7] [Citation(s) in RCA: 91] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Accepted: 06/02/2017] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND The innate immune system is known to be involved early in the pathogenesis of Alzheimer's disease (AD) and other neurodegenerative disorders. The inflammatory response in the central nervous system can be measured postmortem or through a series of inflammatory mediator surrogates. YKL-40 (also named Chitinase-3-like I) has been frequently investigated in body fluids as a surrogate marker of neuroinflammation in AD and other neurological disorders. However, the expression pattern of YKL-40 in the human brain with neurodegenerative pathology remains poorly investigated. Our aim was to study the cellular expression pattern of YKL-40 in the brain of patients with clinical and neuropathological criteria for AD (n = 11); three non-AD tauopathies: Pick's disease (PiD; n = 8), corticobasal degeneration (CBD; n = 8) and progressive supranuclear palsy (PSP; n = 9) and a group of neurologically healthy controls (n = 6). METHODS Semiquantitative neuropathological evaluation and quantitative confocal triple immunofluorescence studies were performed. An in-house algorithm was used to detect and quantify pathology burden of random regions of interest on a full tissue-section scan. Kruskal-Wallis and Dunn's multiple comparison tests were performed for colocalization and quantification analyses. RESULTS We found that brain YKL-40 immunoreactivity was observed in a subset of astrocytes in all four diseases and in controls. There was a strong colocalization between YKL-40 and the astroglial marker GFAP but not with neuronal nor microglial markers. Intriguingly, YKL-40-positive astrocytes were tau-negative in PSP, CBD and PiD. The number of YKL-40-positive astrocytes was increased in tauopathies compared with that in controls. A positive correlation was found between YKL-40 and tau immunoreactivities. CONCLUSIONS This study confirms that YKL-40 is expressed by a subset of astrocytes in AD and other tauopathies. YKL-40 expression is elevated in several neurodegenerative conditions and correlates with tau pathology.
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Affiliation(s)
- Marta Querol-Vilaseca
- Memory Unit, Department of Neurology, Institut d’Investigacions Biomèdiques Sant Pau - Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Sant Antoni M. Claret 167, 08025 Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Martí Colom-Cadena
- Memory Unit, Department of Neurology, Institut d’Investigacions Biomèdiques Sant Pau - Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Sant Antoni M. Claret 167, 08025 Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Jordi Pegueroles
- Memory Unit, Department of Neurology, Institut d’Investigacions Biomèdiques Sant Pau - Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Sant Antoni M. Claret 167, 08025 Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Carla San Martín-Paniello
- Memory Unit, Department of Neurology, Institut d’Investigacions Biomèdiques Sant Pau - Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Sant Antoni M. Claret 167, 08025 Barcelona, Spain
| | - Jordi Clarimon
- Memory Unit, Department of Neurology, Institut d’Investigacions Biomèdiques Sant Pau - Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Sant Antoni M. Claret 167, 08025 Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Olivia Belbin
- Memory Unit, Department of Neurology, Institut d’Investigacions Biomèdiques Sant Pau - Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Sant Antoni M. Claret 167, 08025 Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Juan Fortea
- Memory Unit, Department of Neurology, Institut d’Investigacions Biomèdiques Sant Pau - Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Sant Antoni M. Claret 167, 08025 Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Alberto Lleó
- Memory Unit, Department of Neurology, Institut d’Investigacions Biomèdiques Sant Pau - Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Sant Antoni M. Claret 167, 08025 Barcelona, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
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Giannini LAA, Irwin DJ, McMillan CT, Ash S, Rascovsky K, Wolk DA, Van Deerlin VM, Lee EB, Trojanowski JQ, Grossman M. Clinical marker for Alzheimer disease pathology in logopenic primary progressive aphasia. Neurology 2017; 88:2276-2284. [PMID: 28515265 DOI: 10.1212/wnl.0000000000004034] [Citation(s) in RCA: 78] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2016] [Accepted: 03/13/2017] [Indexed: 01/30/2023] Open
Abstract
OBJECTIVE To determine whether logopenic features of phonologic loop dysfunction reflect Alzheimer disease (AD) neuropathology in primary progressive aphasia (PPA). METHODS We performed a retrospective case-control study of 34 patients with PPA with available autopsy tissue. We compared baseline and longitudinal clinical features in patients with primary AD neuropathology to those with primary non-AD pathologies. We analyzed regional neuroanatomic disease burden in pathology-defined groups using postmortem neuropathologic data. RESULTS A total of 19/34 patients had primary AD pathology and 15/34 had non-AD pathology (13 frontotemporal lobar degeneration, 2 Lewy body disease). A total of 16/19 (84%) patients with AD had a logopenic spectrum phenotype; 5 met published criteria for the logopenic variant (lvPPA), 8 had additional grammatical or semantic deficits (lvPPA+), and 3 had relatively preserved sentence repetition (lvPPA-). Sentence repetition was impaired in 68% of patients with PPA with AD pathology; forward digit span (DF) was impaired in 90%, substantially higher than in non-AD PPA (33%, p < 0.01). Lexical retrieval difficulty was common in all patients with PPA and did not discriminate between groups. Compared to non-AD, PPA with AD pathology had elevated microscopic neurodegenerative pathology in the superior/midtemporal gyrus, angular gyrus, and midfrontal cortex (p < 0.01). Low DF scores correlated with high microscopic pathologic burden in superior/midtemporal and angular gyri (p ≤ 0.03). CONCLUSIONS Phonologic loop dysfunction is a central feature of AD-associated PPA and specifically correlates with temporoparietal neurodegeneration. Quantitative measures of phonologic loop function, combined with modified clinical lvPPA criteria, may help discriminate AD-associated PPA.
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Affiliation(s)
- Lucia A A Giannini
- From the Department of Neurology (L.A.A.G.), University Medical Center Groningen, University of Groningen, the Netherlands; Penn Frontotemporal Degeneration Center, Department of Neurology (L.A.A.G., D.J.I., C.T.M., S.A., K.R., M.G.), Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine (D.J.I., V.M.V.D., J.Q.T.), Alzheimer's Disease Center (D.A.W.), Department of Neurology, and Translational Pathology Laboratory, Perelman School of Medicine (E.B.L.), University of Pennsylvania, Philadelphia
| | - David J Irwin
- From the Department of Neurology (L.A.A.G.), University Medical Center Groningen, University of Groningen, the Netherlands; Penn Frontotemporal Degeneration Center, Department of Neurology (L.A.A.G., D.J.I., C.T.M., S.A., K.R., M.G.), Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine (D.J.I., V.M.V.D., J.Q.T.), Alzheimer's Disease Center (D.A.W.), Department of Neurology, and Translational Pathology Laboratory, Perelman School of Medicine (E.B.L.), University of Pennsylvania, Philadelphia
| | - Corey T McMillan
- From the Department of Neurology (L.A.A.G.), University Medical Center Groningen, University of Groningen, the Netherlands; Penn Frontotemporal Degeneration Center, Department of Neurology (L.A.A.G., D.J.I., C.T.M., S.A., K.R., M.G.), Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine (D.J.I., V.M.V.D., J.Q.T.), Alzheimer's Disease Center (D.A.W.), Department of Neurology, and Translational Pathology Laboratory, Perelman School of Medicine (E.B.L.), University of Pennsylvania, Philadelphia
| | - Sharon Ash
- From the Department of Neurology (L.A.A.G.), University Medical Center Groningen, University of Groningen, the Netherlands; Penn Frontotemporal Degeneration Center, Department of Neurology (L.A.A.G., D.J.I., C.T.M., S.A., K.R., M.G.), Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine (D.J.I., V.M.V.D., J.Q.T.), Alzheimer's Disease Center (D.A.W.), Department of Neurology, and Translational Pathology Laboratory, Perelman School of Medicine (E.B.L.), University of Pennsylvania, Philadelphia
| | - Katya Rascovsky
- From the Department of Neurology (L.A.A.G.), University Medical Center Groningen, University of Groningen, the Netherlands; Penn Frontotemporal Degeneration Center, Department of Neurology (L.A.A.G., D.J.I., C.T.M., S.A., K.R., M.G.), Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine (D.J.I., V.M.V.D., J.Q.T.), Alzheimer's Disease Center (D.A.W.), Department of Neurology, and Translational Pathology Laboratory, Perelman School of Medicine (E.B.L.), University of Pennsylvania, Philadelphia
| | - David A Wolk
- From the Department of Neurology (L.A.A.G.), University Medical Center Groningen, University of Groningen, the Netherlands; Penn Frontotemporal Degeneration Center, Department of Neurology (L.A.A.G., D.J.I., C.T.M., S.A., K.R., M.G.), Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine (D.J.I., V.M.V.D., J.Q.T.), Alzheimer's Disease Center (D.A.W.), Department of Neurology, and Translational Pathology Laboratory, Perelman School of Medicine (E.B.L.), University of Pennsylvania, Philadelphia
| | - Vivianna M Van Deerlin
- From the Department of Neurology (L.A.A.G.), University Medical Center Groningen, University of Groningen, the Netherlands; Penn Frontotemporal Degeneration Center, Department of Neurology (L.A.A.G., D.J.I., C.T.M., S.A., K.R., M.G.), Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine (D.J.I., V.M.V.D., J.Q.T.), Alzheimer's Disease Center (D.A.W.), Department of Neurology, and Translational Pathology Laboratory, Perelman School of Medicine (E.B.L.), University of Pennsylvania, Philadelphia
| | - Edward B Lee
- From the Department of Neurology (L.A.A.G.), University Medical Center Groningen, University of Groningen, the Netherlands; Penn Frontotemporal Degeneration Center, Department of Neurology (L.A.A.G., D.J.I., C.T.M., S.A., K.R., M.G.), Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine (D.J.I., V.M.V.D., J.Q.T.), Alzheimer's Disease Center (D.A.W.), Department of Neurology, and Translational Pathology Laboratory, Perelman School of Medicine (E.B.L.), University of Pennsylvania, Philadelphia
| | - John Q Trojanowski
- From the Department of Neurology (L.A.A.G.), University Medical Center Groningen, University of Groningen, the Netherlands; Penn Frontotemporal Degeneration Center, Department of Neurology (L.A.A.G., D.J.I., C.T.M., S.A., K.R., M.G.), Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine (D.J.I., V.M.V.D., J.Q.T.), Alzheimer's Disease Center (D.A.W.), Department of Neurology, and Translational Pathology Laboratory, Perelman School of Medicine (E.B.L.), University of Pennsylvania, Philadelphia
| | - Murray Grossman
- From the Department of Neurology (L.A.A.G.), University Medical Center Groningen, University of Groningen, the Netherlands; Penn Frontotemporal Degeneration Center, Department of Neurology (L.A.A.G., D.J.I., C.T.M., S.A., K.R., M.G.), Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine (D.J.I., V.M.V.D., J.Q.T.), Alzheimer's Disease Center (D.A.W.), Department of Neurology, and Translational Pathology Laboratory, Perelman School of Medicine (E.B.L.), University of Pennsylvania, Philadelphia.
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42
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Covell DJ, Robinson JL, Akhtar RS, Grossman M, Weintraub D, Bucklin HM, Pitkin RM, Riddle D, Yousef A, Trojanowski JQ, Lee VMY. Novel conformation-selective alpha-synuclein antibodies raised against different in vitro fibril forms show distinct patterns of Lewy pathology in Parkinson's disease. Neuropathol Appl Neurobiol 2017; 43:604-620. [PMID: 28386933 DOI: 10.1111/nan.12402] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2016] [Revised: 03/30/2017] [Accepted: 04/07/2017] [Indexed: 12/12/2022]
Abstract
AIMS The aim of this study was to test the hypothesis that different conformations of misfolded α-synuclein (α-syn) are present in Parkinson's disease (PD) brain. METHODS Using two previously characterized conformations of α-syn fibrils, we generated new conformation-selective α-syn monoclonal antibodies (mAbs). We then interrogated multiple brain regions in a well-characterized autopsy cohort of PD patients (n = 49) with these mAbs, Syn7015 and Syn9029. RESULTS Syn7015 detects Lewy bodies (LBs) and Lewy neurites (LNs) formed by pathological α-syn in all brain regions tested, and is particularly sensitive to LNs and small Lewy dots, inclusions believed to form early in the disease. Further, we observed colocalization between Syn7015 and an early marker of α-syn pathology formation, phospho-Ser129-α-syn, and a lack of extensive colocalization with markers of more mature pathology. In comparison, Syn9029 detects Lewy pathology in all regions examined, but indicates significantly fewer LNs than Syn7015. In addition, colocalization of Syn9029 with later markers of α-syn pathology maturation (ubiquitin and P62) suggests that the pathology detected by Syn9029 is older. Semiquantitative scoring of both LN and LB pathology in nine brain regions further established this trend, with Syn7015 LN scores consistently higher than Syn9029 LN scores. CONCLUSIONS Our data indicate that different conformations of α-syn pathology are present in PD brain and correspond to different stages of maturity for Lewy pathology. Regional analysis of Syn7015 and Syn9029 immunostaining also provides support for the Braak hypothesis that α-syn pathology advances through the brain.
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Affiliation(s)
- D J Covell
- Center for Neurodegenerative Disease Research and Institute on Aging, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - J L Robinson
- Center for Neurodegenerative Disease Research and Institute on Aging, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - R S Akhtar
- Center for Neurodegenerative Disease Research and Institute on Aging, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.,Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - M Grossman
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - D Weintraub
- Departments of Psychiatry and Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - H M Bucklin
- Center for Neurodegenerative Disease Research and Institute on Aging, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - R M Pitkin
- Center for Neurodegenerative Disease Research and Institute on Aging, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - D Riddle
- Center for Neurodegenerative Disease Research and Institute on Aging, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - A Yousef
- Center for Neurodegenerative Disease Research and Institute on Aging, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - J Q Trojanowski
- Center for Neurodegenerative Disease Research and Institute on Aging, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - V M-Y Lee
- Center for Neurodegenerative Disease Research and Institute on Aging, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
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