Browsing by Author "Murayama, Shigeo"
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Item Age-dependent formation of TMEM106B amyloid filaments in human brains(Springer Nature, 2022) Schweighauser, Manuel; Arseni, Diana; Bacioglu, Mehtap; Huang, Melissa; Lövestam, Sofia; Shi, Yang; Yang, Yang; Zhang, Wenjuan; Kotecha, Abhay; Garringer, Holly J.; Vidal, Ruben; Hallinan, Grace I.; Newell, Kathy L.; Tarutani, Airi; Murayama, Shigeo; Miyazaki, Masayuki; Saito, Yuko; Yoshida, Mari; Hasegawa, Kazuko; Lashley, Tammaryn; Revesz, Tamas; Kovacs, Gabor G.; van Swieten, John; Takao, Masaki; Hasegawa, Masato; Ghetti, Bernardino; Spillantini, Maria Grazia; Ryskeldi-Falcon, Benjamin; Murzin, Alexey G.; Goedert, Michel; Scheres, Sjors H.W.; Pathology and Laboratory Medicine, School of MedicineMany age-dependent neurodegenerative diseases, such as Alzheimer's and Parkinson's, are characterized by abundant inclusions of amyloid filaments. Filamentous inclusions of the proteins tau, amyloid-β, α-synuclein and transactive response DNA-binding protein (TARDBP; also known as TDP-43) are the most common1,2. Here we used structure determination by cryogenic electron microscopy to show that residues 120-254 of the lysosomal type II transmembrane protein 106B (TMEM106B) also form amyloid filaments in human brains. We determined the structures of TMEM106B filaments from a number of brain regions of 22 individuals with abundant amyloid deposits, including those resulting from sporadic and inherited tauopathies, amyloid-β amyloidoses, synucleinopathies and TDP-43 proteinopathies, as well as from the frontal cortex of 3 individuals with normal neurology and no or only a few amyloid deposits. We observed three TMEM106B folds, with no clear relationships between folds and diseases. TMEM106B filaments correlated with the presence of a 29-kDa sarkosyl-insoluble fragment and globular cytoplasmic inclusions, as detected by an antibody specific to the carboxy-terminal region of TMEM106B. The identification of TMEM106B filaments in the brains of older, but not younger, individuals with normal neurology indicates that they form in an age-dependent manner.Item Aging-related tau astrogliopathy (ARTAG): harmonized evaluation strategy(Springer, 2016-01) Kovacs, Gabor G.; Ferrer, Isidro; Alafuzoff, Irina; Attems, Johannes; Budka, Herbert; Cairns, Nigel J.; Crary, John F.; Duyckaerts, Charles; Ghetti, Bernardino; Halliday, Glenda M.; Ironside, James W.; Love, Seth; Mackenzie, Ian R.; Munoz, David G.; Murray, Melissa E.; Nelson, Peter T.; Takahashi, Hitoshi; Trojanowski, John Q.; Ansorge, Olaf; Arzberger, Thomas; Baborie, Atik; Beach, Thomas G.; Bieniek, Kevin F.; Bigio, Eileen H.; Bodi, Istvan; Dugger, Brittany N.; Feany, Mel; Gelpi, Ellen; Gentleman, Stephen M.; Giaccone, Giorgio; Hatanpaa, Kimmo J.; Heale, Richard; Hof, Patrick R.; Hofer, Monika; Hortobágyi, Tibor; Jellinger, Kurt; Jicha, Gregory A.; Ince, Paul; Kofler, Julia; Kövari, Enikö; Kril, Jillian J.; Mann, David M.; Matej, Radoslav; McKee, Ann C.; McLean, Catriona; Milenkovic, Ivan; Montine, Thomas J.; Murayama, Shigeo; Lee, Edward B.; Rahimi, Jasmin; Rodriguez, Roberta D.; Rozemüller, Annemieke; Schneider, Julie A.; Schultz, Christian; Seeley, William; Seilhean, Danielle; Smith, Colin; Tagliavini, Fabrizio; Takao, Masaki; Thal, Dietmar Rudolf; Toledo, Jon B.; Tolnay, Markus; Troncoso, Juan C.; Vinters, Harry V.; Weis, Serge; Wharton, Stephen B.; White III, Charles L.; Wisniewski, Thomas; Woulfe, John M.; Yamada, Masahito; Dicks, Dennis W.; Department of Pathology and Laboratory Medicine, IU School of MedicinePathological accumulation of abnormally phosphorylated tau protein in astrocytes is a frequent, but poorly characterized feature of the aging brain. Its etiology is uncertain, but its presence is sufficiently ubiquitous to merit further characterization and classification, which may stimulate clinicopathological studies and research into its pathobiology. This paper aims to harmonize evaluation and nomenclature of aging-related tau astrogliopathy (ARTAG), a term that refers to a morphological spectrum of astroglial pathology detected by tau immunohistochemistry, especially with phosphorylation-dependent and 4R isoform-specific antibodies. ARTAG occurs mainly, but not exclusively, in individuals over 60 years of age. Tau-immunoreactive astrocytes in ARTAG include thorn-shaped astrocytes at the glia limitans and in white matter, as well as solitary or clustered astrocytes with perinuclear cytoplasmic tau immunoreactivity that extends into the astroglial processes as fine fibrillar or granular immunopositivity, typically in gray matter. Various forms of ARTAG may coexist in the same brain and might reflect different pathogenic processes. Based on morphology and anatomical distribution, ARTAG can be distinguished from primary tauopathies, but may be concurrent with primary tauopathies or other disorders. We recommend four steps for evaluation of ARTAG: (1) identification of five types based on the location of either morphologies of tau astrogliopathy: subpial, subependymal, perivascular, white matter, gray matter; (2) documentation of the regional involvement: medial temporal lobe, lobar (frontal, parietal, occipital, lateral temporal), subcortical, brainstem; (3) documentation of the severity of tau astrogliopathy; and (4) description of subregional involvement. Some types of ARTAG may underlie neurological symptoms; however, the clinical significance of ARTAG is currently uncertain and awaits further studies. The goal of this proposal is to raise awareness of astroglial tau pathology in the aged brain, facilitating communication among neuropathologists and researchers, and informing interpretation of clinical biomarkers and imaging studies that focus on tau-related indicators.Item Biomarker-Based Approach to α-Synucleinopathies: Lessons from Neuropathology(Wiley, 2024) Kovacs, Gabor G.; Grinberg, Lea T.; Halliday, Glenda; Alafuzoff, Irina; Dugger, Brittany N.; Murayama, Shigeo; Forrest, Shelley L.; Martinez-Valbuena, Ivan; Tanaka, Hidetomo; Kon, Tomoya; Yoshida, Koji; Jaunmuktane, Zane; Spina, Salvatore; Nelson, Peter T.; Gentleman, Steve; Alegre-Abarrategui, Javier; Serrano, Geidy E.; Paes, Vitor Ribeiro; Takao, Masaki; Wakabayashi, Koichi; Uchihara, Toshiki; Yoshida, Mari; Saito, Yuko; Kofler, Julia; Diehl Rodriguez, Roberta; Gelpi, Ellen; Attems, Johannes; Crary, John F.; Seeley, William W.; Duda, John E.; Keene, C. Dirk; Woulfe, John; Munoz, David; Smith, Colin; Lee, Edward B.; Neumann, Manuela; White, Charles L., III; McKee, Ann C.; Thal, Dietmar R.; Jellinger, Kurt; Ghetti, Bernardino; Mackenzie, Ian R. A.; Dickson, Dennis W.; Beach, Thomas G.; Pathology and Laboratory Medicine, School of MedicineItem Florbetaben PET imaging to detect amyloid beta plaques in Alzheimer disease: Phase 3 study(Elsevier, 2015) Sabri, Osama; Sabbagh, Marwan N.; Seibyl, John; Barthel, Henryk; Akatsu, Hiroyasu; Ouchi, Yasuomi; Senda, Kohei; Murayama, Shigeo; Ishii, Kenji; Takao, Masaki; Beach, Thomas G.; Rowe, Christopher C.; Leverenz, James B.; Ghetti, Bernardino; Ironside, James W.; Catafau, Ana M.; Stephens, Andrew W.; Mueller, Andre; Koglin, Norman; Hoffman, Anja; Roth, Katrin; Reininger, Cornelia; Schulz-Schaeffer, Walter J.; Department of Pathology and Laboratory Medicine, IU School of MedicineBackground Evaluation of brain β-amyloid by positron emission tomography (PET) imaging can assist in the diagnosis of Alzheimer disease (AD) and other dementias. Methods Open-label, nonrandomized, multicenter, phase 3 study to validate the 18F-labeled β-amyloid tracer florbetaben by comparing in vivo PET imaging with post-mortem histopathology. Results Brain images and tissue from 74 deceased subjects (of 216 trial participants) were analyzed. Forty-six of 47 neuritic β-amyloid-positive cases were read as PET positive, and 24 of 27 neuritic β-amyloid plaque-negative cases were read as PET negative (sensitivity 97.9% [95% confidence interval or CI 93.8–100%], specificity 88.9% [95% CI 77.0–100%]). In a subgroup, a regional tissue-scan matched analysis was performed. In areas known to strongly accumulate β-amyloid plaques, sensitivity and specificity were 82% to 90%, and 86% to 95%, respectively. Conclusions Florbetaben PET shows high sensitivity and specificity for the detection of histopathology-confirmed neuritic β-amyloid plaques and may thus be a valuable adjunct to clinical diagnosis, particularly for the exclusion of AD.Item Heteromeric amyloid filaments of ANXA11 and TDP-43 in FTLD-TDP type C(Springer Nature, 2024) Arseni, Diana; Nonaka, Takashi; Jacobsen, Max H.; Murzin, Alexey G.; Cracco, Laura; Peak-Chew, Sew Y.; Garringer, Holly J.; Kawakami, Ito; Suzuki, Hisaomi; Onaya, Misumoto; Saito, Yuko; Murayama, Shigeo; Geula, Changiz; Vidal, Ruben; Newell, Kathy L.; Mesulam, Marsel; Ghetti, Bernardino; Hasegawa, Masato; Ryskeldi-Falcon, Benjamin; Pathology and Laboratory Medicine, School of MedicineNeurodegenerative diseases are characterized by the abnormal filamentous assembly of specific proteins in the central nervous system1. Human genetic studies have established a causal role for protein assembly in neurodegeneration2. However, the underlying molecular mechanisms remain largely unknown, which is limiting progress in developing clinical tools for these diseases. Recent advances in cryo-electron microscopy have enabled the structures of the protein filaments to be determined from the brains of patients1. All neurodegenerative diseases studied to date have been characterized by the self-assembly of proteins in homomeric amyloid filaments, including that of TAR DNA-binding protein 43 (TDP-43) in amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration with TDP-43 inclusions (FTLD-TDP) types A and B3,4. Here we used cryo-electron microscopy to determine filament structures from the brains of individuals with FTLD-TDP type C, one of the most common forms of sporadic FTLD-TDP. Unexpectedly, the structures revealed that a second protein, annexin A11 (ANXA11), co-assembles with TDP-43 in heteromeric amyloid filaments. The ordered filament fold is formed by TDP-43 residues G282/G284-N345 and ANXA11 residues L39-Y74 from their respective low-complexity domains. Regions of TDP-43 and ANXA11 that were previously implicated in protein-protein interactions form an extensive hydrophobic interface at the centre of the filament fold. Immunoblots of the filaments revealed that the majority of ANXA11 exists as an approximately 22 kDa N-terminal fragment lacking the annexin core domain. Immunohistochemistry of brain sections showed the colocalization of ANXA11 and TDP-43 in inclusions, redefining the histopathology of FTLD-TDP type C. This work establishes a central role for ANXA11 in FTLD-TDP type C. The unprecedented formation of heteromeric amyloid filaments in the human brain revises our understanding of amyloid assembly and may be of significance for the pathogenesis of neurodegenerative diseases.Item Impact of Training Method on the Robustness of the Visual Assessment of 18F-Florbetaben PET Scans: Results from a Phase-3 Study(SNM, 2016-06) Seibyl, John; Catafau, Ana M.; Barthel, Henryk; Ishii, Kenji; Rowe, Christopher C.; Leverenz, James B.; Ghetti, Bernardino; Ironside, James W.; Takao, Masaki; Akatsu, Hiroyasu; Murayama, Shigeo; Bullich, Santiago; Mueller, Andre; Koglin, Norman; Schulz-Schaeffer, Walter J.; Hoffmann, Anja; Sabbagh, Marwan N.; Stephens, Andrew W.; Sabri, Osama; Department of Pathology & Laboratory Medicine, IU School of MedicineTraining for accurate image interpretation is essential for the clinical use of β-amyloid PET imaging, but the role of interpreter training and the accuracy of the algorithm for routine visual assessment of florbetaben PET scans are unclear. The aim of this study was to test the robustness of the visual assessment method for florbetaben scans, comparing efficacy readouts across different interpreters and training methods and against a histopathology standard of truth (SoT). Methods: Analysis was based on data from an international open-label, nonrandomized, multicenter phase-3 study in patients with or without dementia (ClinicalTrials.gov: NCT01020838). Florbetaben scans were assessed visually and quantitatively, and results were compared with amyloid plaque scores. For visual assessment, either in-person training (n = 3 expert interpreters) or an electronic training method (n = 5 naïve interpreters) was used. Brain samples from participants who died during the study were used to determine the histopathologic SoT using Bielschowsky silver staining (BSS) and immunohistochemistry for β-amyloid plaques. Results: Data were available from 82 patients who died and underwent postmortem histopathology. When visual assessment results were compared with BSS + immunohistochemistry as SoT, median sensitivity was 98.2% for the in-person–trained interpreters and 96.4% for the e-trained interpreters, and median specificity was 92.3% and 88.5%, respectively. Median accuracy was 95.1% and 91.5%, respectively. On the basis of BSS only as the SoT, median sensitivity was 98.1% and 96.2%, respectively; median specificity was 80.0% and 76.7%, respectively; and median accuracy was 91.5% and 86.6%, respectively. Interinterpreter agreement (Fleiss κ) was excellent (0.89) for in-person–trained interpreters and very good (0.71) for e-trained interpreters. Median intrainterpreter agreement was 0.9 for both in-person–trained and e-trained interpreters. Visual and quantitative assessments were concordant in 88.9% of scans for in-person–trained interpreters and in 87.7% of scans for e-trained interpreters. Conclusion: Visual assessment of florbetaben images was robust in challenging scans from elderly end-of-life individuals. Sensitivity, specificity, and interinterpreter agreement were high, independent of expertise and training method. Visual assessment was accurate and reliable for detection of plaques using BSS and immunohistochemistry and well correlated with quantitative assessments.Item Novel tau filament fold in corticobasal degeneration(Nature Publishing group, 2020-02-12) Zhang, Wenjuan; Tarutani, Airi; Newell, Kathy L.; Murzin, Alexey G.; Matsubara, Tomoyasu; Falcon, Benjamin; Vidal, Ruben; Garringer, Holly J.; Shi, Yang; Ikeuchi, Takeshi; Murayama, Shigeo; Ghetti, Bernardino; Hasegawa, Masato; Goedert, Michel; Scheres, Sjors H. W.; Pathology and Laboratory Medicine, School of MedicineCorticobasal degeneration (CBD) is a neurodegenerative tauopathy that is characterised by motor and cognitive disturbances (1–3). A higher frequency of the H1 haplotype of MAPT, the tau gene, is present in cases of CBD than in controls (4,5) and genome-wide association studies have identified additional risk factors (6). By histology, astrocytic plaques are diagnostic of CBD (7,8), as are detergent-insoluble tau fragments of 37 kDa by SDS-PAGE (9). Like progressive supranuclear palsy (PSP), globular glial tauopathy (GGT) and argyrophilic grain disease (AGD) (10), CBD is characterised by abundant filamentous tau inclusions that are made of isoforms with four microtubule-binding repeats (4R) (11–15). This distinguishes 4R tauopathies from Pick’s disease, filaments of which are made of three-repeat (3R) tau isoforms, and from Alzheimer’s disease and chronic traumatic encephalopathy (CTE), where both 3R and 4R tau isoforms are found in the filaments (16). Here we report the structures of tau filaments extracted from the brains of three individuals with CBD using electron cryo-microscopy (cryo-EM). They were identical between cases, but distinct from those of Alzheimer’s disease, Pick’s disease and CTE (17–19). The core of CBD filaments comprises residues K274-E380 of tau, spanning the last residue of R1, the whole of R2, R3 and R4, as well as 12 amino acids after R4. It adopts a novel four-layered fold, which encloses a large non-proteinaceous density. The latter is surrounded by the side chains of lysine residues 290 and 294 from R2 and 370 from the sequence after R4. CBD is the first 4R tauopathy with filaments of known structure.Item Structure-based Classification of Tauopathies(Springer Nature, 2021) Shi, Yang; Zhang, Wenjuan; Yang, Yang; Murzin, Alexey G.; Falcon, Benjamin; Kotecha, Abhay; van Beers, Mike; Tarutani, Airi; Kametani, Fuyuki; Garringer, Holly J.; Vidal, Ruben; Hallinan, Grace I.; Lashley, Tammaryn; Saito, Yuko; Murayama, Shigeo; Yoshida, Mari; Tanaka, Hidetomo; Kakita, Akiyoshi; Ikeuchi, Takeshi; Robinson, Andrew C.; Mann, David M.A.; Kovacs, Gabor G.; Revesz, Tamas; Ghetti, Bernardino; Hasegawa, Masato; Goedert, Michel; Scheres, Sjors H.W.; Pathology and Laboratory Medicine, School of MedicineThe ordered assembly of tau protein into filaments characterizes several neurodegenerative diseases, which are called tauopathies. It was previously reported that, by cryo-electron microscopy, the structures of tau filaments from Alzheimer's disease1,2, Pick's disease3, chronic traumatic encephalopathy4 and corticobasal degeneration5 are distinct. Here we show that the structures of tau filaments from progressive supranuclear palsy (PSP) define a new three-layered fold. Moreover, the structures of tau filaments from globular glial tauopathy are similar to those from PSP. The tau filament fold of argyrophilic grain disease (AGD) differs, instead resembling the four-layered fold of corticobasal degeneration. The AGD fold is also observed in ageing-related tau astrogliopathy. Tau protofilament structures from inherited cases of mutations at positions +3 or +16 in intron 10 of MAPT (the microtubule-associated protein tau gene) are also identical to those from AGD, suggesting that relative overproduction of four-repeat tau can give rise to the AGD fold. Finally, the structures of tau filaments from cases of familial British dementia and familial Danish dementia are the same as those from cases of Alzheimer's disease and primary age-related tauopathy. These findings suggest a hierarchical classification of tauopathies on the basis of their filament folds, which complements clinical diagnosis and neuropathology and also allows the identification of new entities-as we show for a case diagnosed as PSP, but with filament structures that are intermediate between those of globular glial tauopathy and PSP.Item Structures of α-synuclein filaments from human brains with Lewy pathology(Springer Nature, 2022) Yang, Yang; Shi, Yang; Schweighauser, Manuel; Zhang, Xianjun; Kotecha, Abhay; Murzin, Alexey G.; Garringer, Holly J.; Cullinane, Patrick W.; Saito, Yuko; Foroud, Tatiana; Warner, Thomas T.; Hasegawa, Kazuko; Vidal, Ruben; Murayama, Shigeo; Revesz, Tamas; Ghetti, Bernardino; Hasegawa, Masato; Lashley, Tammaryn; Scheres, Sjors H.W.; Goedert, Michel; Pathology and Laboratory Medicine, School of MedicineParkinson's disease (PD) is the most common movement disorder, with resting tremor, rigidity, bradykinesia and postural instability being major symptoms1. Neuropathologically, it is characterized by the presence of abundant filamentous inclusions of α-synuclein in the form of Lewy bodies and Lewy neurites in some brain cells, including dopaminergic nerve cells of the substantia nigra2. PD is increasingly recognised as a multisystem disorder, with cognitive decline being one of its most common non-motor symptoms. Many patients with PD develop dementia more than 10 years after diagnosis3. PD dementia (PDD) is clinically and neuropathologically similar to dementia with Lewy bodies (DLB), which is diagnosed when cognitive impairment precedes parkinsonian motor signs or begins within one year from their onset4. In PDD, cognitive impairment develops in the setting of well-established PD. Besides PD and DLB, multiple system atrophy (MSA) is the third major synucleinopathy5. It is characterized by the presence of abundant filamentous α-synuclein inclusions in brain cells, especially oligodendrocytes (Papp-Lantos bodies). We previously reported the electron cryo-microscopy structures of two types of α-synuclein filament extracted from the brains of individuals with MSA6. Each filament type is made of two different protofilaments. Here we report that the cryo-electron microscopy structures of α-synuclein filaments from the brains of individuals with PD, PDD and DLB are made of a single protofilament (Lewy fold) that is markedly different from the protofilaments of MSA. These findings establish the existence of distinct molecular conformers of assembled α-synuclein in neurodegenerative disease.Item Structures of α-Synuclein Filaments from Multiple System Atrophy(Springer Nature, 2020-09) Schweighauser, Manuel; Shi, Yang; Tarutani, Airi; Kametani, Fuyuki; Murzin, Alexey G.; Ghetti, Bernardino; Matsubara, Tomoyasu; Tomita, Taisuke; Ando, Takashi; Hasegawa, Kazuko; Murayama, Shigeo; Yoshida, Mari; Hasegawa, Masato; Scheres, Sjors H.W.; Goedert, Michel; Pathology and Laboratory Medicine, School of MedicineSynucleinopathies, which include multiple system atrophy (MSA), Parkinson's disease, Parkinson's disease with dementia and dementia with Lewy bodies (DLB), are human neurodegenerative diseases1. Existing treatments are at best symptomatic. These diseases are characterized by the presence of, and believed to be caused by the formation of, filamentous inclusions of α-synuclein in brain cells2,3. However, the structures of α-synuclein filaments from the human brain are unknown. Here, using cryo-electron microscopy, we show that α-synuclein inclusions from the brains of individuals with MSA are made of two types of filament, each of which consists of two different protofilaments. In each type of filament, non-proteinaceous molecules are present at the interface of the two protofilaments. Using two-dimensional class averaging, we show that α-synuclein filaments from the brains of individuals with MSA differ from those of individuals with DLB, which suggests that distinct conformers or strains characterize specific synucleinopathies. As is the case with tau assemblies4-9, the structures of α-synuclein filaments extracted from the brains of individuals with MSA differ from those formed in vitro using recombinant proteins, which has implications for understanding the mechanisms of aggregate propagation and neurodegeneration in the human brain. These findings have diagnostic and potential therapeutic relevance, especially because of the unmet clinical need to be able to image filamentous α-synuclein inclusions in the human brain.