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213 citation(s) found for "Parisi, Joseph".

Lewy Body Disease is a Contributor to Logopenic Progressive Aphasia Phenotype
Buciuc, Marina , Whitwell, Jennifer L. , Kasanuki, Koji , Graff‐Radford, Jonathan , Lowe, Val J. , Graff‐Radford, Neill R. , Rush, Beth , Franczak, Malgorzata, Flanagan, Margaret E. , Rademakers, Rosa , Ross, Owen A. , Parisi, Joseph E., Reichard, R. Ross , Bigio, Eileen H. , Josephs, Keith A. , Strand, Edythe A. , Baker, Matthew C, Ross, Owen A , Dickson, Dennis W , Josephs, Keith A , Buciuc, Marina , Machulda, Mary M. , Duffy, Joseph R. , Baker, Matthew , Ghetti, Bernardino , Raghunathan, Aditya , Dickson, Dennis W.

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Annals of Neurology | December 4, 2020 | Volume: 89 | Issue: 3 | Pages: 520-533

10.1002/ana.25979 | PMID 33274526 Get It

ObjectiveThe objective of this study was to describe clinical features, [18F]‐fluorodeoxyglucose (FDG)‐positron emission tomography (PET) metabolism and digital pathology in patients with logopenic progressive aphasia (LPA) and pathologic diagnosis of diffuse Lewy body disease (DLBD) and compare to patients with LPA with other pathologies, as well as patients with classical features of probable dementia with Lewy bodies (pDLB).MethodsThis is a clinicopathologic case‐control study of 45 patients, including 20 prospectively recruited patients with LPA among whom 6 were diagnosed with LPA‐DLBD. We analyzed clinical features and compared FDG‐PET metabolism in LPA‐DLBD to an independent group of patients with clinical pDLB and regional α‐synuclein burden on digital pathology to a second independent group of autopsied patients with DLBD pathology and antemortem pDLB (DLB‐DLBD).ResultsAll patients with LPA‐DLBD were men. Neurological, speech, and neuropsychological characteristics were similar across LPA‐DLBD, LPA‐Alzheimer's disease (LPA‐AD), and LPA‐frontotemporal lobar degeneration (LPA‐FTLD). Genetic screening of AD, DLBD, and FTLD linked genes were negative with the exception of APOE ε4 allele present in 83% of LPA‐DLBD patients. Seventy‐five percent of the patients with LPA‐DLBD showed a parietal‐dominant pattern of hy pometabolism; LPA‐FTLD – temporal‐dominant pattern, whereas LPA‐AD showed heterogeneous patterns of hypometabolism. LPA‐DLBD had more asymmetrical hypometabolism affecting frontal lobes, with relatively spared occipital lobe in the nondominantly affected hemisphere, compared to pDLB. LPA‐DLBD had minimal atrophy on gross brain examination, higher cortical Lewy body counts, and higher α‐synuclein burden in the middle frontal and inferior parietal cortices compared to DLB‐DLBD.InterpretationWhereas AD is the most frequent underlying pathology of LPA, DLBD can also be present and may contribute to the LPA phenotype possibly due to α‐synuclein‐associated functional impairment of the dominant parietal lobe. ANN NEUROL 2021;89:520–533
Iron Heterogeneity in Early Active Multiple Sclerosis Lesions
Tham, Mylyne, Weigand, Stephen D. , Fitz‐Gibbon, Patrick D., Webb, Samuel M. , Guo, Yong , Adiele, Reginald C. , Robinson, Christopher A. , Brück, Wolfgang , Furber, Kendra L. , Parisi, Joseph E., Lucchinetti, Claudia F. , Popescu, Bogdan , Fitz-Gibbon, Patrick D, Popescu, Bogdan F , Guo, Yong , Frischer, Josa M. , Lassmann, Hans , Pushie, M. Jake

Mayo Clinic

Annals of Neurology | November 27, 2020 | Volume: 89 | Issue: 3 | Pages: 498-510

10.1002/ana.25974 | PMID 33244761 Get It

ObjectiveMultiple sclerosis (MS) is a heterogeneous inflammatory demyelinating disease. Iron distribution is altered in MS patients' brains, suggesting iron liberation within active lesions amplifies demyelination and neurodegeneration. Whether the amount and distribution of iron are similar or different among different MS immunopatterns is currently unknown.MethodsWe used synchrotron X‐ray fluorescence imaging, histology, and immunohistochemistry to compare the iron quantity and distribution between immunopattern II and III early active MS lesions. We analyzed archival autopsy and biopsy tissue from 21 MS patients.ResultsImmunopattern II early active lesions contain 64% more iron (95% confidence interval [CI] = 17–127%, p = 0.004) than immunopattern III lesions, and 30% more iron than the surrounding periplaque white matter (95% CI = 3–64%, p = 0.03). Iron in immunopattern III lesions is 28% lower than in the periplaque white matter (95% CI = −40 to −14%, p < 0.001). When normalizing the iron content of early active lesions to that of surrounding periplaque white matter, the ratio is significantly higher in immunopattern II (p < 0.001). Microfocused X‐ray fluorescence imaging shows that iron in immunopattern II lesions localizes to macrophages, whereas macrophages in immunopattern III lesions contain little iron.InterpretationIron distribution and content are heterogeneous in early active MS lesions. Iron accumulates in macrophages in immunopattern II, but not immunopattern III lesions. This heterogeneity in the two most common MS immunopatterns may be explained by different macrophage polarization, origin, or different demyelination mechanisms, and paves the way for developing new or using existing iron‐sensitive magnetic resonance imaging techniques to differentiate among immunopatterns in the general nonbiopsied MS patient population. ANN NEUROL 2021;89:498–510
Novel Alzheimer Disease Risk Loci and Pathways in African American Individuals Using the African Genome Resources Panel
Kunkle, Brian W. , Schmidt, Michael A. , Klein, Hans‐Ulrich , Hamilton‐Nelson, Kara L., Larson, Eric B., Evans, Denis A., Jager, Phil L. De, Crane, Paul K. , Buxbaum, Joseph D. , Ertekin‐Taner, Nilüfer , Barnes, Lisa L. , Fallin, M. Daniele , Go, Rodney C.P., Obisesan, Thomas O. , Bennett, David A. , Hall, Kathleen, Goate, Alison , Foroud, Tatiana M., Martin, Eden R. , Wang, Li‐San , Byrd, Goldie S. , Haines, Jonathan L. , Schellenberg, Gerard D., Mayeux, Richard , Pericak‐Vance, Margaret A. , Reitz, Christiane, Perrie, M. Adams, Roger, L. Albin, Liana, G Apostolova, Steven, Eschrich, Craig, S , Clinton, T. Baldwin, Robert, C. Barber, Barral, Sandra, Thomas, Gunther, James, T., Gary, W. Beecham, Eileen, H. Bigio, Thomas, D., Blacker, Deborah, Bradley, F. Boeve, James, D. Bowen, Boxer, Adam, James, R. Burke, Jeffrey, Morris, Nigel, J Cairns, Cynthia, M. Carlsson, Regina, M. Carney, Minerva, M. Carrasquillo, David, Hugh-Jones, Dick, Malcom, Dickson, Dennis, W., Doody, Rachelle S., Duara, Ranjan , Kelley, M. Faber, Thomas, Jaya , Kenneth, B., David, W. Fardo, Martin, Roger, Matthew, P. Frosch, Douglas, R. Galasko, Gearing, Marla , Daniel, Hervé, Gilbert, John, R., Robert, C. Green, John, Harding, Ronald, L. Hamilton, Hardy, John , Lindy, E. Harrell, Lawrence, Steve, Ryan, Mary, Matthew, J. Huentelman, Christine, M Hulette, Gail, P. Jarvik, Jin, Lee‐Way, Karydas, Anna, Mindy, J. Katz, John, S., Joel, H. Kramer, James, J. Lah, Andrew, Peter, Richard, B., Constantine, G. Lyketsos, Malamon, John , Daniel, Chammiran , Martiniuk, Frank , Masliah, Eliezer , Wayne, C. McCormick, Susan, M, Andrew, Nesbit M, McDonough, Stefan, Ann., Canfield, Mesulam, Marsel, Bruce, L. Miller, Carol, A. Miller, Thomas, J. Montine, Amanda, J. Myers, John, M. Olichney, Joseph, E. Parisi, Peskind, Elaine R. , Pierce, Aimee, Wayne, W. Poon, Joseph, F. Quinn, Raj, Ashok , Raskind, Murray A. , Reisch, Joan, S., John, M. Ringman, Erik, D. Roberson, Howard, J. Rosen, Donald, R. Royall, Mark, A. Sager, Julie, A. Schneider, Lon, Su, William, W. Seeley, Small, Scott A. , Sonnen, Joshua, A., Robert, Aiko, Rudolph, E. Tanzi, Juan, Caballero, Debby, W. Tsuang, Vivianna, M. Van Deerlin, Badri, Nabeel, Harry, Vanessa, Vonsattel, Jean Paul, Weıntraub, Sandra , Kathleen, A Welsh-Bohmer, Kirk, C W, Thomas, SubinVarghese, Randall, Linnell B., Wu, Chuang‐Kuo, Steven, G. Younkin, Yu, Lei , Yu, Chang‐En , Graff‐Radford, Neill R. , Martinez, Izri, Ayodele, Temitope , Cantwell, Laura B., Jean‐Francois, Melissa, Kuzma, Amanda , Adams, Lonnie D., Chung, Jaeyoon , Jun, Gyungah , Hendrie, Hugh C. , Reiman, Eric M. , Kowall, Neil W. , Golde, Todd E. , Saykin, Andrew J. , Starks, Takiyah D. , Albert, Marilyn S. , Petersen, Ronald , Sano, Mary , Wısnıewskı, Thomas , Vassar, Robert , Kaye, Jeffrey A., Henderson, Victor W. , DeCarli, Charles , LaFerla, Frank M. , Brewer, James B., Miller, Bruce L. , Swerdlow, Russell H. , Paulson, Henry L. , Trojanowski, John Q. , Chui, Helena C., Rosenberg, Roger N., Craft, Suzanne , Grabowski, Thomas J. , Asthana, Sanjay , Morris, John C. , Strittmatter, Stephen M. , Kukull, Walter A. , Asthana, Sanjay , Jarvik, Gail P. , Cribbs, David H. , Sonnen, Joshua A. , Bennett, David A. , Saykin, Andrew J , Miller, Bruce L , Jarvik, Gail P , Paulson, Henry L , Hardy, John , Morris, John C , Goate, Alison M , Sonnen, Joshua , Barnes, Lisa L , Naj, Adam Christian , Hamilton‐Nelson, Kara L. , Manly, Jennifer J. , Kamboh, M. Ilyas , Farrer, Lindsay A. , Abner, Erin L. , Atwood, Craig, S., Becker, James, T., Eileen, H Bigio, Blacker, Deborah , Cao, Chuanhai , Cruchaga, Carlos , Dickson, Dennis, W., Duara, Ranjan , David, W. Fardo, Farlow, Martin, R., Ferris, Steven H. , Geschwind, Daniel, H., Ghetti, Bernardino , Gilbert, John, R., Håkonarson, Håkon , Honig, Lawrence, S., Huebinger, Ryan, M., Matthew, J Huentelman, Kauwe, John, S.K., Keene, C. Dirk , Kim, Ronald, Leung, Yuk Yee , Li, Ge , Lipton, Richard, B., Marson, Daniel, C., McDavid, Andrew, N., Mesulam, Marsel M. , Bruce, L Miller, Mukherjee, Shubhabrata , O’Bryant, Sid, E., Potter, Huntington , Qu, Liming , Raj, Ashok, Reisberg, ‌Barry , Reisch, Joan, S., Rogaeva, Ekaterina A. , Julie, A Schneider, Schneider, Lon, S., William, W Seeley, Spina, Salvatore , George‐Hyslop, Peter St , Valladares, Otto , Vardarajan, Badri, N., Wilhelmsen, Kirk, C., Williamson, Jennifer , Wingo, Thomas, S., Woltjer, Randall, L., Steven, G Younkin, Zhao, Yi Chen , Logue, Mark W. , Adams, L.D., Vance, Jeffery M. , Cuccaro, Michael L. , Mez, Jesse , Lunetta, Kathryn L. , López, Oscar L. , Leverenz, James B. , Levey, Allan I. , Hyman, Bradley T. , Kaye, Jeffrey A., Eldik, Linda J. Van , Chui, Helena C.

Mayo Clinic

JAMA Neurology | October 19, 2020 | Volume: 78 | Issue: 1 | Pages: 102

10.1001/jamaneurol.2020.3536 | PMID 33074286 Get It

Sensitivity–Specificity of Tau and Amyloid β Positron Emission Tomography in Frontotemporal Lobar Degeneration
Ghirelli, Alma , Tosakulwong, Nirubol , Weigand, Stephen D. , Ali, Farwa , Buciuc, Marina , Murray, Melissa E. , Labuzan, Sydney A. , Spychalla, Anthony J., Pham, Nha Trang Thu, Senjem, Matthew L. , Rademakers, Rosa , Filippi, Massimo , Lowe, Val J. , Parisi, Joseph E., Josephs, Keith A. , Whitwell, Jennifer L. , Buciuc, Marina , Schwarz, Christopher G , Filippi, Massimo , Dickson, Dennis W , Josephs, Keith A , Whitwell, Jennifer , Senjem, Matthew L , Murray, Melissa E , Clark, Heather M. , Botha, Hugo , Duffy, Joseph R. , Utianski, Rene L. , Schwarz, Christopher G. , Machulda, Mary M. , Baker, Matthew , Jack, Clifford R. , Dickson, Dennis W.

Mayo Clinic

Annals of Neurology | September 1, 2020 | Volume: 88 | Issue: 5 | Pages: 1009-1022

10.1002/ana.25893 | PMID 32869362 Get It

ObjectiveTo examine associations between tau and amyloid β (Aβ) molecular positron emission tomography (PET) and both Alzheimer‐related pathology and 4‐repeat tau pathology in autopsy‐confirmed frontotemporal lobar degeneration (FTLD).MethodsTwenty‐four patients had [18F]‐flortaucipir–PET and died with FTLD (progressive supranuclear palsy [PSP], n = 10; corticobasal degeneration [CBD], n = 10; FTLD‐TDP, n = 3; and Pick disease, n = 1). All but 1 had Pittsburgh compound B (PiB)‐PET. Braak staging, Aβ plaque and neurofibrillary tangle counts, and semiquantitative tau lesion scores were performed. Flortaucipir standard uptake value ratios (SUVRs) were calculated in a temporal meta region of interest (meta‐ROI), entorhinal cortex and cortical/subcortical regions selected to match the tau lesion analysis. Global PiB SUVR was calculated. Autoradiography was performed in 1 PSP patient, with digital pathology used to quantify tau burden.ResultsNine cases (37.5%) had Aβ plaques. Global PiB SUVR correlated with Aβ plaque count, with 100% specificity and 50% sensitivity for diffuse plaques. Twenty‐one (87.5%) had Braak stages I to IV. Flortaucipir correlated with neurofibrillary tangle counts in entorhinal cortex, but entorhinal and meta‐ROI SUVRs were not elevated in Braak IV or primary age‐related tauopathy. Flortaucipir uptake patterns differed across FTLD pathologies and could separate PSP and CBD. Flortaucipir correlated with tau lesion score in red nucleus and midbrain tegmentum across patients, but not in cortical or basal ganglia regions. Autoradiography demonstrated minimal uptake of flortaucipir, although flortaucipir correlated with quantitative tau burden across regions.InterpretationMolecular PET shows expected correlations with Alzheimer‐related pathology but lacks sensitivity to detect mild Alzheimer pathology in FTLD. Regional flortaucipir uptake was able to separate CBD and PSP. ANN NEUROL 2020;88:1009–1022
Protein contributions to brain atrophy acceleration in Alzheimer’s disease and primary age-related tauopathy
Josephs, Keith A. , Martin, Peter R. , Weigand, Stephen D. , Tosakulwong, Nirubol , Buciuc, Marina , Murray, Melissa E. , Petrucelli, Leonard , Senjem, Matthew L. , Spychalla, Anthony J., Petersen, Ronald C. , Parisi, Joseph E., Whitwell, Jennifer L. , Buciuc, Marina , Senjem, Matthew L , Murray, Melissa E , Knopman, David S. , Boeve, Bradley F. , Dickson, Dennis W. , Jack, Clifford R.

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Brain | August 21, 2020 | Volume: 143 | Issue: 11 | Pages: 3463-3476

10.1093/brain/awaa299 | PMID 33150361 Get It

Abstract Alzheimer’s disease is characterized by the presence of amyloid-β and tau deposition in the brain, hippocampal atrophy and increased rates of hippocampal atrophy over time. Another protein, TAR DNA binding protein 43 (TDP-43) has been identified in up to 75% of cases of Alzheimer’s disease. TDP-43, tau and amyloid-β have all been linked to hippocampal atrophy. TDP-43 and tau have also been linked to hippocampal atrophy in cases of primary age-related tauopathy, a pathological entity with features that strongly overlap with those of Alzheimer’s disease. At present, it is unclear whether and how TDP-43 and tau are associated with early or late hippocampal atrophy in Alzheimer’s disease and primary age-related tauopathy, whether either protein is also associated with faster rates of atrophy of other brain regions and whether there is evidence for protein-associated acceleration/deceleration of atrophy rates. We therefore aimed to model how these proteins, particularly TDP-43, influence non-linear trajectories of hippocampal and neocortical atrophy in Alzheimer’s disease and primary age-related tauopathy. In this longitudinal retrospective study, 557 autopsied cases with Alzheimer’s disease neuropathological changes with 1638 ante-mortem volumetric head MRI scans spanning 1.0–16.8 years of disease duration prior to death were analysed. TDP-43 and Braak neurofibrillary tangle pathological staging schemes were constructed, and hippocampal and neocortical (inferior temporal and middle frontal) brain volumes determined using longitudinal FreeSurfer. Bayesian bivariate-outcome hierarchical models were utilized to estimate associations between proteins and volume, early rate of atrophy and acceleration in atrophy rates across brain regions. High TDP-43 stage was associated with smaller cross-sectional brain volumes, faster rates of brain atrophy and acceleration of atrophy rates, more than a decade prior to death, with deceleration occurring closer to death. Stronger associations were observed with hippocampus compared to temporal and frontal neocortex. Conversely, low TDP-43 stage was associated with slower early rates but later acceleration. This later acceleration was associated with high Braak neurofibrillary tangle stage. Somewhat similar, but less striking, findings were observed between TDP-43 and neocortical rates. Braak stage appeared to have stronger associations with neocortex compared to TDP-43. The association between TDP-43 and brain atrophy occurred slightly later in time (∼3 years) in cases of primary age-related tauopathy compared to Alzheimer’s disease. The results suggest that TDP-43 and tau have different contributions to acceleration and deceleration of brain atrophy rates over time in both Alzheimer’s disease and primary age-related tauopathy.
Acanthamoebic Meningoencephalitis: Lessons in Avoiding a Postmortem Diagnosis
Parisi, Joseph E. , Scheithauer, Bernd W., Kingsley, Thomas C. , Jansen, Robert D., Pritt, Bobbi S.

Mayo Clinic

The FASEB Journal | April 10, 2020 | Volume: 21 | Issue: 5 | Pages: No page available

10.1096/fasebj.21.5.a403 Get It

A 38‐year‐old woman, status‐post renal transplant on immunosuppressive therapy, presented with fever, hypotension, and painful erythematous nodules on her chest, abdomen, and back. Skin biopsy revealed panniculitis with fat necrosis, and corresponding cultures showed no growth. Over the next 5 days, she became obtunded and developed a left hemiparesis. MRI showed non‐enhancing bilateral lesions in the cerebral cortex. She deteriorated and died. At autopsy, the 954 gram brain demonstrated flattened gyri and multiple disseminated necrotic foci. Microscopically, numerous cysts and trophozoites were identified within necrotic foci, consistent with Acanthamoeba spp. Review of the skin biopsy revealed similar organisms. Unlike primary amebic meningoencephalitis in healthy children and young adults caused by Naglearia fowlerii, encephalitis due to Acanthamoeba spp. is a subacute, progressive disease of immunocompromised patients. The double‐walled, cysts of Acanthamoeba spp. stain with H&E and Gomori Methenamine Silver, and may be mistaken for a fungus. Knowledge of the epidemiology and microscopic appearance of Acanthamoeba spp. is essential for accurate and timely diagnosis of this serious and potentially treatable infection.
Dual pathologies: Utility of TAR DNA‐binding Protein 43 (TDP‐43) Staining in Patients with Frontal and Temporal Lobe Abnormalities and Alzheimer disease
Josephs, Keith A. , Knopman, David S. , Petersen, Ronald C. , Parisi, Joseph E. , Hu, William T. , Dickson, Dennis W. , Knopman, David S. , Boeve, Bradley F.

Mayo Clinic

The FASEB Journal | April 10, 2020 | Volume: 21 | Issue: 5 | Pages: No page available

10.1096/fasebj.21.5.a21-a Get It

Prominent behavioral changes and language dysfunction are features of frontotemporal lobar degeneration (FTLD) but can also occur in AD. Recently, application of TAR DNA‐binding protein 43 (TDP‐43) antibody has been shown to be useful for demonstrating the pathologic lesions of FTLD‐U and FTLD‐MND. Since these cases might represent combined disorders (FTD and AD), we studied the utility of TDP‐43 staining to demonstrate inclusion bodies in brains of patients with clinical features of frontal or temporal lobe dysfunction but with autopsy features of AD. METHODS: Eight patients from 1998 to 2005 were identified, including 1 with combined pathologic features of FTLD‐U (previously identified with anti‐ubiquitin staining) and mild AD (Braak stage IV). Sections of hippocampus and frontal and temporal lobes were stained with anti‐TDP‐43 antibody (Proteintech Group). RESULTS: Of the 8 patients, 1 had advanced AD (Braak stage VI) and scattered TDP‐43 positive cytoplasmic inclusions in hippocampal dentate granular cells and frontal and temporal neocortical neurons. The previously identified patient with combined FTLD‐U and mild AD also had TDP‐43 positive cytoplasmic and nuclear inclusions. CONCLUSION: TDP‐43 aids in the identification of case with dual pathologies, particularly in advanced AD where inclusion may be masked by overwhelming AD pathology.