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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 Baseline neuropsychiatric symptoms and psychotropic medication use midway through data collection of the Longitudinal Early-Onset Alzheimer's Disease Study (LEADS) cohort(Wiley, 2023) Polsinelli, Angelina J.; Wonderlin, Ryan J.; Hammers, Dustin B.; Pena Garcia, Alex; Eloyan, Anii; Taurone, Alexander; Thangarajah, Maryanne; Beckett, Laurel; Gao, Sujuan; Wang, Sophia; Kirby, Kala; Logan, Paige E.; Aisen, Paul; Dage, Jeffrey L.; Foroud, Tatiana; Griffin, Percy; Iaccarino, Leonardo; Kramer, Joel H.; Koeppe, Robert; Kukull, Walter A.; La Joie, Renaud; Mundada, Nidhi S.; Murray, Melissa E.; Nudelman, Kelly; Soleimani-Meigooni, David N.; Rumbaugh, Malia; Toga, Arthur W.; Touroutoglou, Alexandra; Vemuri, Prashanthi; Atri, Alireza; Day, Gregory S.; Duara, Ranjan; Graff-Radford, Neill R.; Honig, Lawrence S.; Jones, David T.; Masdeu, Joseph; Mendez, Mario F.; Womack, Kyle; Musiek, Erik; Onyike, Chiadi U.; Riddle, Meghan; Rogalski, Emily; Salloway, Steven; Sha, Sharon J.; Turner, Raymond S.; Wingo, Thomas S.; Wolk, David A.; Carrillo, Maria C.; Dickerson, Bradford C.; Rabinovici, Gil D.; Apostolova, Liana G.; LEADS Consortium; Neurology, School of MedicineIntroduction: We examined neuropsychiatric symptoms (NPS) and psychotropic medication use in a large sample of individuals with early-onset Alzheimer's disease (EOAD; onset 40-64 years) at the midway point of data collection for the Longitudinal Early-onset Alzheimer's Disease Study (LEADS). Methods: Baseline NPS (Neuropsychiatric Inventory - Questionnaire; Geriatric Depression Scale) and psychotropic medication use from 282 participants enrolled in LEADS were compared across diagnostic groups - amyloid-positive EOAD (n = 212) and amyloid negative early-onset non-Alzheimer's disease (EOnonAD; n = 70). Results: Affective behaviors were the most common NPS in EOAD at similar frequencies to EOnonAD. Tension and impulse control behaviors were more common in EOnonAD. A minority of participants were using psychotropic medications, and use was higher in EOnonAD. Discussion: Overall NPS burden and psychotropic medication use were higher in EOnonAD than EOAD participants. Future research will investigate moderators and etiological drivers of NPS, and NPS differences in EOAD versus late-onset AD. Keywords: early-onset Alzheimer's disease; early-onset dementia; mild cognitive impairment; neuropharmacology; neuropsychiatric symptoms; psychotropic medications.Item Creating the Pick's disease International Consortium: Association study of MAPT H2 haplotype with risk of Pick's disease(medRxiv, 2023-04-24) Valentino, Rebecca R.; Scotton, William J.; Roemer, Shanu F.; Lashley, Tammaryn; Heckman, Michael G.; Shoai, Maryam; Martinez-Carrasco, Alejandro; Tamvaka, Nicole; Walton, Ronald L.; Baker, Matthew C.; Macpherson, Hannah L.; Real, Raquel; Soto-Beasley, Alexandra I.; Mok, Kin; Revesz, Tamas; Warner, Thomas T.; Jaunmuktane, Zane; Boeve, Bradley F.; Christopher, Elizabeth A.; DeTure, Michael; Duara, Ranjan; Graff-Radford, Neill R.; Josephs, Keith A.; Knopman, David S.; Koga, Shunsuke; Murray, Melissa E.; Lyons, Kelly E.; Pahwa, Rajesh; Parisi, Joseph E.; Petersen, Ronald C.; Whitwell, Jennifer; Grinberg, Lea T.; Miller, Bruce; Schlereth, Athena; Seeley, William W.; Spina, Salvatore; Grossman, Murray; Irwin, David J.; Lee, Edward B.; Suh, EunRan; Trojanowski, John Q.; Van Deerlin, Vivianna M.; Wolk, David A.; Connors, Theresa R.; Dooley, Patrick M.; Frosch, Matthew P.; Oakley, Derek H.; Aldecoa, Iban; Balasa, Mircea; Gelpi, Ellen; Borrego-Écija, Sergi; de Eugenio Huélamo, Rosa Maria; Gascon-Bayarri, Jordi; Sánchez-Valle, Raquel; Sanz-Cartagena, Pilar; Piñol-Ripoll, Gerard; Molina-Porcel, Laura; Bigio, Eileen H.; Flanagan, Margaret E.; Gefen, Tamar; Rogalski, Emily J.; Weintraub, Sandra; Redding-Ochoa, Javier; Chang, Koping; Troncoso, Juan C.; Prokop, Stefan; Newell, Kathy L.; Ghetti, Bernardino; Jones, Matthew; Richardson, Anna; Robinson, Andrew C.; Roncaroli, Federico; Snowden, Julie; Allinson, Kieren; Green, Oliver; Rowe, James B.; Singh, Poonam; Beach, Thomas G.; Serrano, Geidy E.; Flowers, Xena E.; Goldman, James E.; Heaps, Allison C.; Leskinen, Sandra P.; Teich, Andrew F.; Black, Sandra E.; Keith, Julia L.; Masellis, Mario; Bodi, Istvan; King, Andrew; Sarraj, Safa-Al; Troakes, Claire; Halliday, Glenda M.; Hodges, John R.; Kril, Jillian J.; Kwok, John B.; Piguet, Olivier; Gearing, Marla; Arzberger, Thomas; Roeber, Sigrun; Attems, Johannes; Morris, Christopher M.; Thomas, Alan J.; Evers, Bret M.; White, Charles L.; Mechawar, Naguib; Sieben, Anne A.; Cras, Patrick P.; De Vil, Bart B.; De Deyn, Peter Paul P. P.; Duyckaerts, Charles; Le Ber, Isabelle; Seihean, Danielle; Turbant-Leclere, Sabrina; MacKenzie, Ian R.; McLean, Catriona; Cykowski, Matthew D.; Ervin, John F.; Wang, Shih-Hsiu J.; Graff, Caroline; Nennesmo, Inger; Nagra, Rashed M.; Riehl, James; Kovacs, Gabor G.; Giaccone, Giorgio; Nacmias, Benedetta; Neumann, Manuela; Ang, Lee-Cyn; Finger, Elizabeth C.; Blauwendraat, Cornelis; Nalls, Mike A.; Singleton, Andrew B.; Vitale, Dan; Cunha, Cristina; Carvalho, Agostinho; Wszolek, Zbigniew K.; Morris, Huw R.; Rademakers, Rosa; Hardy, John A.; Dickson, Dennis W.; Rohrer, Jonathan D.; Ross, Owen A.; Pathology and Laboratory Medicine, School of MedicineBackground: Pick's disease (PiD) is a rare and predominantly sporadic form of frontotemporal dementia that is classified as a primary tauopathy. PiD is pathologically defined by argyrophilic inclusion Pick bodies and ballooned neurons in the frontal and temporal brain lobes. PiD is characterised by the presence of Pick bodies which are formed from aggregated, hyperphosphorylated, 3-repeat tau proteins, encoded by the MAPT gene. The MAPT H2 haplotype has consistently been associated with a decreased disease risk of the 4-repeat tauopathies of progressive supranuclear palsy and corticobasal degeneration, however its role in susceptibility to PiD is unclear. The primary aim of this study was to evaluate the association between MAPT H2 and risk of PiD. Methods: We established the Pick's disease International Consortium (PIC) and collected 338 (60.7% male) pathologically confirmed PiD brains from 39 sites worldwide. 1,312 neurologically healthy clinical controls were recruited from Mayo Clinic Jacksonville, FL (N=881) or Rochester, MN (N=431). For the primary analysis, subjects were directly genotyped for MAPT H1-H2 haplotype-defining variant rs8070723. In secondary analysis, we genotyped and constructed the six-variant MAPT H1 subhaplotypes (rs1467967, rs242557, rs3785883, rs2471738, rs8070723, and rs7521). Findings: Our primary analysis found that the MAPT H2 haplotype was associated with increased risk of PiD (OR: 1.35, 95% CI: 1.12-1.64 P=0.002). In secondary analysis involving H1 subhaplotypes, a protective association with PiD was observed for the H1f haplotype (0.0% vs. 1.2%, P=0.049), with a similar trend noted for H1b (OR: 0.76, 95% CI: 0.58-1.00, P=0.051). The 4-repeat tauopathy risk haplotype MAPT H1c was not associated with PiD susceptibility (OR: 0.93, 95% CI: 0.70-1.25, P=0.65). Interpretation: The PIC represents the first opportunity to perform relatively large-scale studies to enhance our understanding of the pathobiology of PiD. This study demonstrates that in contrast to its protective role in 4R tauopathies, the MAPT H2 haplotype is associated with an increased risk of PiD. This finding is critical in directing isoform-related therapeutics for tauopathies.Item Genome-wide analyses as part of the international FTLD-TDP whole-genome sequencing consortium reveals novel disease risk factors and increases support for immune dysfunction in FTLD(Springer, 2019-02-09) Pottier, Cyril; Ren, Yingxue; Perkerson, Ralph B.; Baker, Matt; Jenkins, Gregory D.; van Blitterswijk, Marka; DeJesus-Hernandez, Mariely; van Rooij, Jeroen G. J.; Murray, Melissa E.; Christopher, Elizabeth; McDonnell, Shannon K.; Fogarty, Zachary; Batzler, Anthony; Tian, Shulan; Vicente, Cristina T.; Matchett, Billie; Karydas, Anna M.; Hsiung, Ging-Yuek Robin; Seelaar, Harro; Mol, Merel O.; Finger, Elizabeth C.; Graff, Caroline; Öijerstedt, Linn; Neumann, Manuela; Heutink, Peter; Synofzik, Matthis; Matthis, Carlo; Prudlo, Johannes; Rizzu, Patrizia; Simon-Sanchez, Javier; Edbauer, Dieter; Roeber, Sigrun; Diehl-Schmid, Janine; Evers, Bret M.; King, Andrew; Mesulam, M. Marsel; Weintraub, Sandra; Geula, Changiz; Bieniek, Kevin F.; Petrucelli, Leonard; Ahern, Geoffrey L.; Reiman, Eric M.; Woodruff, Bryan K.; Caselli, Richard J.; Huey, Edward D.; Farlow, Martin R.; Grafman, Jordan; Mead, Simon; Grinberg, Lea T.; Spina, Salvatore; Grossman, Murray; Irwin, David J.; Lee, Edward B.; Suh, EunRan; Snowden, Julie; Mann, David; Ertekin-Taner, Nilufer; Uitti, Ryan J.; Wszolek, Zbigniew K.; Josephs, Keith A.; Parisi, Joseph E.; Knopman, David S.; Petersen, Ronald C.; Hodges, John R.; Piguet, Olivier; Geier, Ethan G.; Yokoyama, Jennifer S.; Rissman, Robert A.; Rogaeva, Ekaterina; Keith, Julia; Zinman, Lorne; Tartaglia, Maria Carmela; Cairns, Nigel J.; Cruchaga, Carlos; Ghetti, Bernardino; Kofler, Julia; Lopez, Oscar L.; Beach, Thomas G.; Arzberger, Thomas; Herms, Jochen; Honig, Lawrence S.; Vonsattel, Jean Paul; Halliday, Glenda M.; Kwok, John B.; White, Charles L.; Gearing, Marla; Glass, Jonathan; Rollinson, Sara; Pickering-Brown, Stuart; Rohrer, Jonathan D.; Trojanowski, John Q.; Van Deerlin, Vivianna; Bigio, Eileen H.; Troakes, Claire; Al-Sarraj, Safa; Asmann, Yan; Miller, Bruce L.; Graff-Radford, Neill R.; Boeve, Bradley F.; Seeley, William W.; Mackenzie, Ian R. A.; van Swieten, John C.; Dickson, Dennis W.; Biernacka, Joanna M.; Rademakers, Rosa; Neurology, School of MedicineFrontotemporal lobar degeneration with neuronal inclusions of the TAR DNA-binding protein 43 (FTLD-TDP) represents the most common pathological subtype of FTLD. We established the international FTLD-TDP whole genome sequencing consortium to thoroughly characterize the known genetic causes of FTLD-TDP and identify novel genetic risk factors. Through the study of 1,131 unrelated Caucasian patients, we estimated that C9orf72 repeat expansions and GRN loss-of-function mutations account for 25.5% and 13.9% of FTLD-TDP patients, respectively. Mutations in TBK1 (1.5%) and other known FTLD genes (1.4%) were rare, and the disease in 57.7% of FTLD-TDP patients was unexplained by the known FTLD genes. To unravel the contribution of common genetic factors to the FTLD-TDP etiology in these patients, we conducted a two-stage association study comprising the analysis of whole-genome sequencing data from 517 FTLD-TDP patients and 838 controls, followed by targeted genotyping of the most associated genomic loci in 119 additional FTLD-TDP patients and 1653 controls. We identified three genome-wide significant FTLD-TDP risk loci: one new locus at chromosome 7q36 within the DPP6 gene led by rs118113626 (pvalue=4.82e-08, OR=2.12), and two known loci: UNC13A, led by rs1297319 (pvalue=1.27e-08, OR=1.50) and HLA-DQA2 led by rs17219281 (pvalue=3.22e-08, OR=1.98). While HLA represents a locus previously implicated in clinical FTLD and related neurodegenerative disorders, the association signal in our study is independent from previously reported associations. Through inspection of our whole genome sequence data for genes with an excess of rare loss-of-function variants in FTLD-TDP patients (n≥3) as compared to controls (n=0), we further discovered a possible role for genes functioning within the TBK1-related immune pathway (e.g. DHX58, TRIM21, IRF7) in the genetic etiology of FTLD-TDP. Together, our study based on the largest cohort of unrelated FTLD-TDP patients assembled to date provides a comprehensive view of the genetic landscape of FTLD-TDP, nominates novel FTLD-TDP risk loci, and strongly implicates the immune pathway in FTLD-TDP pathogenesis.Item Genome-wide association study of brain biochemical phenotypes reveals distinct genetic architecture of Alzheimer's disease related proteins(BMC, 2023-01-07) Oatman, Stephanie R.; Reddy, Joseph S.; Quicksall, Zachary; Carrasquillo, Minerva M.; Wang, Xue; Liu, Chia‑Chen; Yamazaki, Yu; Nguyen, Thuy T.; Malphrus, Kimberly; Heckman, Michael; Biswas, Kristi; Nho, Kwangsik; Baker, Matthew; Martens, Yuka A.; Zhao, Na; Kim, Jun Pyo; Risacher, Shannon L.; Rademakers, Rosa; Saykin, Andrew J.; DeTure, Michael; Murray, Melissa E.; Kanekiyo, Takahisa; Alzheimer’s Disease Neuroimaging Initiative; Dickson, Dennis W.; Bu, Guojun; Allen, Mariet; Ertekin‑Taner, Nilüfer; Radiology and Imaging Sciences, School of MedicineBackground: Alzheimer's disease (AD) is neuropathologically characterized by amyloid-beta (Aβ) plaques and neurofibrillary tangles. The main protein components of these hallmarks include Aβ40, Aβ42, tau, phosphor-tau, and APOE. We hypothesize that genetic variants influence the levels and solubility of these AD-related proteins in the brain; identifying these may provide key insights into disease pathogenesis. Methods: Genome-wide genotypes were collected from 441 AD cases, imputed to the haplotype reference consortium (HRC) panel, and filtered for quality and frequency. Temporal cortex levels of five AD-related proteins from three fractions, buffer-soluble (TBS), detergent-soluble (Triton-X = TX), and insoluble (Formic acid = FA), were available for these same individuals. Variants were tested for association with each quantitative biochemical measure using linear regression, and GSA-SNP2 was used to identify enriched Gene Ontology (GO) terms. Implicated variants and genes were further assessed for association with other relevant variables. Results: We identified genome-wide significant associations at seven novel loci and the APOE locus. Genes and variants at these loci also associate with multiple AD-related measures, regulate gene expression, have cell-type specific enrichment, and roles in brain health and other neuropsychiatric diseases. Pathway analysis identified significant enrichment of shared and distinct biological pathways. Conclusions: Although all biochemical measures tested reflect proteins core to AD pathology, our results strongly suggest that each have unique genetic architecture and biological pathways that influence their specific biochemical states in the brain. Our novel approach of deep brain biochemical endophenotype GWAS has implications for pathophysiology of proteostasis in AD that can guide therapeutic discovery efforts focused on these proteins.Item Gliovascular transcriptional perturbations in Alzheimer's disease reveal molecular mechanisms of blood brain barrier dysfunction(Springer Nature, 2024-06-20) İş, Özkan; Wang, Xue; Reddy, Joseph S.; Min, Yuhao; Yilmaz, Elanur; Bhattarai, Prabesh; Patel, Tulsi; Bergman, Jeremiah; Quicksall, Zachary; Heckman, Michael G.; Tutor-New, Frederick Q.; Demirdogen, Birsen Can; White, Launia; Koga, Shunsuke; Krause, Vincent; Inoue, Yasuteru; Kanekiyo, Takahisa; Cosacak, Mehmet Ilyas; Nelson, Nastasia; Lee, Annie J.; Vardarajan, Badri; Mayeux, Richard; Kouri, Naomi; Deniz, Kaancan; Carnwath, Troy; Oatman, Stephanie R.; Lewis-Tuffin, Laura J.; Nguyen, Thuy; Alzheimer’s Disease Neuroimaging Initiative; Carrasquillo, Minerva M.; Graff-Radford, Jonathan; Petersen, Ronald C.; Jack, Clifford R., Jr.; Kantarci, Kejal; Murray, Melissa E.; Nho, Kwangsik; Saykin, Andrew J.; Dickson, Dennis W.; Kizil, Caghan; Allen, Mariet; Ertekin-Taner, Nilüfer; Radiology and Imaging Sciences, School of MedicineTo uncover molecular changes underlying blood-brain-barrier dysfunction in Alzheimer’s disease, we performed single nucleus RNA sequencing in 24 Alzheimer’s disease and control brains and focused on vascular and astrocyte clusters as main cell types of blood-brain-barrier gliovascular-unit. The majority of the vascular transcriptional changes were in pericytes. Of the vascular molecular targets predicted to interact with astrocytic ligands, SMAD3, upregulated in Alzheimer’s disease pericytes, has the highest number of ligands including VEGFA, downregulated in Alzheimer’s disease astrocytes. We validated these findings with external datasets comprising 4,730 pericyte and 150,664 astrocyte nuclei. Blood SMAD3 levels are associated with Alzheimer’s disease-related neuroimaging outcomes. We determined inverse relationships between pericytic SMAD3 and astrocytic VEGFA in human iPSC and zebrafish models. Here, we detect vast transcriptome changes in Alzheimer’s disease at the gliovascular-unit, prioritize perturbed pericytic SMAD3-astrocytic VEGFA interactions, and validate these in cross-species models to provide a molecular mechanism of blood-brain-barrier disintegrity in Alzheimer’s disease.Item Global neuropathologic severity of Alzheimer's disease and locus coeruleus vulnerability influences plasma phosphorylated tau levels(Springer, 2022-12-27) Murray, Melissa E.; Moloney, Christina M.; Kouri, Naomi; Syrjanen, Jeremy A.; Matchett, Billie J.; Rothberg, Darren M.; Tranovich, Jessica F.; Hicks Sirmans, Tiffany N.; Wiste, Heather J.; Boon, Baayla D. C.; Nguyen, Aivi T.; Reichard, R. Ross; Dickson, Dennis W.; Lowe, Val J.; Dage, Jeffrey L.; Petersen, Ronald C.; Jack, Clifford R., Jr.; Knopman , David S.; Vemuri, Prashanthi; Graff-Radford, Jonathan; Mielke, Michelle M.; Neurology, School of MedicineBackground Advances in ultrasensitive detection of phosphorylated tau (p-tau) in plasma has enabled the use of blood tests to measure Alzheimer’s disease (AD) biomarker changes. Examination of postmortem brains of participants with antemortem plasma p-tau levels remains critical to understanding comorbid and AD-specific contribution to these biomarker changes. Methods We analyzed 35 population-based Mayo Clinic Study of Aging participants with plasma p-tau at threonine 181 and threonine 217 (p-tau181, p-tau217) available within 3 years of death. Autopsied participants included cognitively unimpaired, mild cognitive impairment, AD dementia, and non-AD neurodegenerative disorders. Global neuropathologic scales of tau, amyloid-β, TDP-43, and cerebrovascular disease were examined. Regional digital pathology measures of tau (phosphorylated threonine 181 and 217 [pT181, pT217]) and amyloid-β (6F/3D) were quantified in hippocampus and parietal cortex. Neurotransmitter hubs reported to influence development of tangles (nucleus basalis of Meynert) and amyloid-β plaques (locus coeruleus) were evaluated. Results The strongest regional associations were with parietal cortex for tau burden (p-tau181 R = 0.55, p = 0.003; p-tau217 R = 0.66, p < 0.001) and amyloid-β burden (p-tau181 R = 0.59, p < 0.001; p-tau217 R = 0.71, p < 0.001). Linear regression analysis of global neuropathologic scales explained 31% of variability in plasma p-tau181 (Adj. R2 = 0.31) and 59% in plasma p-tau217 (Adj. R2 = 0.59). Neither TDP-43 nor cerebrovascular disease global scales independently contributed to variability. Global scales of tau pathology (β-coefficient = 0.060, p = 0.016) and amyloid-β pathology (β-coefficient = 0.080, p < 0.001) independently predicted plasma p-tau217 when modeled together with co-pathologies, but only amyloid-β (β-coefficient = 0.33, p = 0.021) significantly predicted plasma p-tau181. While nucleus basalis of Meynert neuron count/mm2 was not associated with plasma p-tau levels, a lower locus coeruleus neuron count/mm2 was associated with higher plasma p-tau181 (R = -0.50, p = 0.007) and higher plasma p-tau217 (R = -0.55, p = 0.002). Cognitive scores (Adj. R2 = 0.25–0.32) were predicted by the global tau scale, but not by the global amyloid-β scale or plasma p-tau when modeled simultaneously. Conclusions Higher soluble plasma p-tau levels may be the result of an intersection between insoluble deposits of amyloid-β and tau accumulation in brain, and may be associated with locus coeruleus degeneration.Item New Insights into Atypical Alzheimer’s Disease in the Era of Biomarkers(Elsevier, 2021) Graff-Radford, Jonathan; Yong, Keir X.X.; Apostolova, Liana G.; Bouwman, Femke H.; Carrillo, Maria; Dickerson, Bradford C.; Rabinovici, Gil D.; Schott, Jonathan M.; Jones, David T.; Murray, Melissa E.; Neurology, School of MedicineMost patients with Alzheimer's disease present with amnestic problems; however, a substantial proportion, over-represented in young-onset cases, have atypical phenotypes including predominant visual, language, executive, behavioural, or motor dysfunction. In the past, these individuals often received a late diagnosis; however, availability of CSF and PET biomarkers of Alzheimer's disease pathologies and incorporation of atypical forms of Alzheimer's disease into new diagnostic criteria increasingly allows them to be more confidently diagnosed early in their illness. This early diagnosis in turn allows patients to be offered tailored information, appropriate care and support, and individualised treatment plans. These advances will provide improved access to clinical trials, which often exclude atypical phenotypes. Research into atypical Alzheimer's disease has revealed previously unrecognised neuropathological heterogeneity across the Alzheimer's disease spectrum. Neuroimaging, genetic, biomarker, and basic science studies are providing key insights into the factors that might drive selective vulnerability of differing brain networks, with potential mechanistic implications for understanding typical late-onset Alzheimer's disease.Item Potential genetic modifiers of disease risk and age at onset in patients with frontotemporal lobar degeneration and GRN mutations: a genome-wide association study(Elsevier, 2018-06) Pottier, Cyril; Zhou, Xiaolai; Perkerson, Ralph B.; Baker, Matt; Jenkins, Gregory D.; Serie, Daniel J.; Ghidoni, Roberta; Benussi, Luisa; Binetti, Giuliano; de Munain, Adolfo López; Zulaica, Miren; Moreno, Fermin; Le Ber, Isabelle; Pasquier, Florence; Hannequin, Didier; Sánchez-Valle, Raquel; Antonell, Anna; Lladó, Albert; Parsons, Tammee M.; Finch, NiCole A.; Finger, Elizabeth C.; Lippa, Carol F.; Huey, Edward D.; Neumann, Manuela; Heutink, Peter; Synofzik, Matthis; Wilke, Carlo; Rissman, Robert A.; Slawek, Jaroslaw; Sitek, Emilia; Johannsen, Peter; Nielsen, Jørgen E.; Ren, Yingxue; van Blitterswijk, Marka; DeJesus-Hernandez, Mariely; Christopher, Elizabeth; Murray, Melissa E.; Bieniek, Kevin F.; Evers, Bret M.; Ferrari, Camilla; Rollinson, Sara; Richardson, Anna; Scarpini, Elio; Fumagalli, Giorgio G.; Padovani, Alessandro; Hardy, John; Momeni, Parastoo; Ferrari, Raffaele; Frangipane, Francesca; Maletta, Raffaele; Anfossi, Maria; Gallo, Maura; Petrucelli, Leonard; Suh, EunRan; Lopez, Oscar L.; Wong, Tsz H.; van Rooij, Jeroen G. J.; Seelaar, Harro; Mead, Simon; Caselli, Richard J.; Reiman, Eric M.; Sabbagh, Marwan Noel; Kjolby, Mads; Nykjaer, Anders; Karydas, Anna M.; Boxer, Adam L.; Grinberg, Lea T.; Grafman, Jordan; Spina, Salvatore; Oblak, Adrian; Mesulam, M-Marsel; Weintraub, Sandra; Geula, Changiz; Hodges, John R.; Piguet, Olivier; Brooks, William S.; Irwin, David J.; Trojanowski, John Q.; Lee, Edward B.; Josephs, Keith A.; Parisi, Joseph E.; Ertekin-Taner, Nilüfer; Knopman, David S.; Nacmias, Benedetta; Piaceri, Irene; Bagnoli, Silvia; Sorbi, Sandro; Gearing, Marla; Glass, Jonathan; Beach, Thomas G.; Black, Sandra E.; Masellis, Mario; Rogaeva, Ekaterina; Vonsattel, Jean-Paul; Honig, Lawrence S.; Kofler, Julia; Bruni, Amalia C.; Snowden, Julie; Mann, David; Pickering-Brown, Stuart; Diehl-Schmid, Janine; Winkelmann, Juliane; Galimberti, Daniela; Graff, Caroline; Öijerstedt, Linn; Troakes, Claire; Al-Sarraj, Safa; Cruchaga, Carlos; Cairns, Nigel J.; Rohrer, Jonathan D.; Halliday, Glenda M.; Kwok, John B.; van Swieten, John C.; White, Charles L.; Ghetti, Bernardino; Murell, Jill R.; Mackenzie, Ian R. A.; Hsiung, Ging-Yuek R.; Borroni, Barbara; Rossi, Giacomina; Tagliavini, Fabrizio; Wszolek, Zbigniew K.; Petersen, Ronald C.; Bigio, Eileen H.; Grossman, Murray; Van Deerlin, Vivianna M.; Seeley, William W.; Miller, Bruce L.; Graff-Radford, Neill R.; Boeve, Bradley F.; Dickson, Dennis W.; Biernacka, Joanna M.; Rademakers, Rosa; Pathology and Laboratory Medicine, School of MedicineBACKGROUND: Loss-of-function mutations in GRN cause frontotemporal lobar degeneration (FTLD). Patients with GRN mutations present with a uniform subtype of TAR DNA-binding protein 43 (TDP-43) pathology at autopsy (FTLD-TDP type A); however, age at onset and clinical presentation are variable, even within families. We aimed to identify potential genetic modifiers of disease onset and disease risk in GRN mutation carriers. METHODS: The study was done in three stages: a discovery stage, a replication stage, and a meta-analysis of the discovery and replication data. In the discovery stage, genome-wide logistic and linear regression analyses were done to test the association of genetic variants with disease risk (case or control status) and age at onset in patients with a GRN mutation and controls free of neurodegenerative disorders. Suggestive loci (p<1 × 10-5) were genotyped in a replication cohort of patients and controls, followed by a meta-analysis. The effect of genome-wide significant variants at the GFRA2 locus on expression of GFRA2 was assessed using mRNA expression studies in cerebellar tissue samples from the Mayo Clinic brain bank. The effect of the GFRA2 locus on progranulin concentrations was studied using previously generated ELISA-based expression data. Co-immunoprecipitation experiments in HEK293T cells were done to test for a direct interaction between GFRA2 and progranulin. FINDINGS: Individuals were enrolled in the current study between Sept 16, 2014, and Oct 5, 2017. After quality control measures, statistical analyses in the discovery stage included 382 unrelated symptomatic GRN mutation carriers and 1146 controls free of neurodegenerative disorders collected from 34 research centres located in the USA, Canada, Australia, and Europe. In the replication stage, 210 patients (67 symptomatic GRN mutation carriers and 143 patients with FTLD without GRN mutations pathologically confirmed as FTLD-TDP type A) and 1798 controls free of neurodegenerative diseases were recruited from 26 sites, 20 of which overlapped with the discovery stage. No genome-wide significant association with age at onset was identified in the discovery or replication stages, or in the meta-analysis. However, in the case-control analysis, we replicated the previously reported TMEM106B association (rs1990622 meta-analysis odds ratio [OR] 0·54, 95% CI 0·46-0·63; p=3·54 × 10-16), and identified a novel genome-wide significant locus at GFRA2 on chromosome 8p21.3 associated with disease risk (rs36196656 meta-analysis OR 1·49, 95% CI 1·30-1·71; p=1·58 × 10-8). Expression analyses showed that the risk-associated allele at rs36196656 decreased GFRA2 mRNA concentrations in cerebellar tissue (p=0·04). No effect of rs36196656 on plasma and CSF progranulin concentrations was detected by ELISA; however, co-immunoprecipitation experiments in HEK293T cells did suggest a direct binding of progranulin and GFRA2. INTERPRETATION: TMEM106B-related and GFRA2-related pathways might be future targets for treatments for FTLD, but the biological interaction between progranulin and these potential disease modifiers requires further study. TMEM106B and GFRA2 might also provide opportunities to select and stratify patients for future clinical trials and, when more is known about their potential effects, to inform genetic counselling, especially for asymptomatic individuals. FUNDING: National Institute on Aging, National Institute of Neurological Disorders and Stroke, Canadian Institutes of Health Research, Italian Ministry of Health, UK National Institute for Health Research, National Health and Medical Research Council of Australia, and the French National Research Agency.Item The Longitudinal Early-onset Alzheimer’s Disease Study (LEADS): Framework and methodology(Wiley, 2021) Apostolova, Liana G.; Aisen, Paul; Eloyan, Ani; Fagan, Anne; Fargo, Keith N.; Foroud, Tatiana; Gatsonis, Constantine; Grinberg, Lea T.; Jack, Clifford R., Jr.; Kramer, Joel; Koeppe, Robert; Kukull, Walter A.; Murray, Melissa E.; Nudelman, Kelly; Rumbaugh, Malia; Toga, Arthur; Vemuri, Prashanthi; Trullinger, Amy; Iaccarino, Leonardo; Day, Gregory S.; Graff-Radford, Neill R.; Honig, Lawrence S.; Jones, David T.; Masdeu, Joseph; Mendez, Mario; Musiek, Erik; Onyike, Chiadi U.; Rogalski, Emily; Salloway, Steve; Wolk, David A.; Wingo, Thomas S.; Carrillo, Maria C.; Dickerson, Bradford C.; Rabinovici, Gil D.; LEADS Consortium; Neurology, School of MedicinePatients with early‐onset Alzheimer's disease (EOAD) are commonly excluded from large‐scale observational and therapeutic studies due to their young age, atypical presentation, or absence of pathogenic mutations. The goals of the Longitudinal EOAD Study (LEADS) are to (1) define the clinical, imaging, and fluid biomarker characteristics of EOAD; (2) develop sensitive cognitive and biomarker measures for future clinical and research use; and (3) establish a trial‐ready network. LEADS will follow 400 amyloid beta (Aβ)‐positive EOAD, 200 Aβ‐negative EOnonAD that meet National Institute on Aging–Alzheimer's Association (NIA‐AA) criteria for mild cognitive impairment (MCI) or AD dementia, and 100 age‐matched controls. Participants will undergo clinical and cognitive assessments, magnetic resonance imaging (MRI), [18F]Florbetaben and [18F]Flortaucipir positron emission tomography (PET), lumbar puncture, and blood draw for DNA, RNA, plasma, serum and peripheral blood mononuclear cells, and post‐mortem assessment. To develop more effective AD treatments, scientists need to understand the genetic, biological, and clinical processes involved in EOAD. LEADS will develop a public resource that will enable future planning and implementation of EOAD clinical trials.