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407 citation(s) found for "Jones, David T".

Evolution of the core clinical features of dementia with Lewy bodies
Radford, Jonathan Graff, Wurtz, Lincoln , Aakre, Jeremiah A. , Brushaber, Danielle , Knopman, David S. , Savica, Rodolfo , Graff‐Radford, Neill R. , Drubach, Daniel A., Fields, Julie A. , Pedraza, Otto , Forsberg, Leah K. , Allen, Laura A., Miyagawa, Toji , Silber, Michael H. , Petersen, Ronald C. , Choudhury, Parichita , Jones, David T. , Knopman, David S. , Kantarci, Kejal , Machulda, Mary M. , Louis, Erik K. St. , Kremers, Walter K. , Boeve, Bradley F. , Ferman, Tanis J.

Mayo Clinic

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S6 | Pages: No page available

10.1002/alz.044307 Get It

AbstractBackgroundDementia with Lewy Bodies (DLB) is the second most common cause of degenerative dementia but the evolution of the core clinical features of DLB has not been clearly defined. The objective of this study was to identify the temporal relationship between each core feature from the estimated onset of cognitive symptoms.MethodParticipants include 485 patients with probable DLB who were evaluated at the Mayo Clinic Alzheimer Disease Research Center with neurologic and neurocognitive assessment. Each core clinical feature was compared using Kaplan‐Meier (KM) curves with the sentinel event representing age at which each core feature developed, or time from estimated cognitive onset.ResultThe sample was disproportionately male (76%). Patients were followed longitudinally, with 84% followed until death. Mean MMSE at the last evaluation was 18.3 ± 7.8. KM curves for age of onset and cumulative incidence for DLB core features as time from cognitive onset are provided. REM‐sleep behavior disorder (RBD) developed earliest and in 77% of our sample with a median KM survival estimate of 69 years (95% CI: 67.6–70.8). RBD was present in greater than 50% of patients at cognitive symptom onset. The median KM survival estimate for cognitive symptom onset was 70.2 years (95% CI: 69.3‐71.0). Parkinsonism developed in 89% with a median KM survival estimate of 73.7 years (95% CI: 72.7‐74.7). 76% had fluctuations with a similar median KM survival estimate of 74.6 years (95% CI: 73.7‐75.8). Visual hallucinations (VH) were present in 70% emerging at a median KM survival estimate of 80.2 years (95% CI: 79.5‐ 81.3). Cumulative incidence estimates for median time from cognitive onset to parkinsonism, fluctuations and VH were 2 years (95% CI: 2.0‐2.5), 2.3 years (95% CI: 2.0‐3.2) and 4.3 years (95% CI: 4.0‐4.8 years), respectively.ConclusionIn this DLB cohort, RBD was most likely to precede cognitive onset. The evolution of the other core features after cognitive onset was parkinsonism and fluctuations and then VH. While VH occur about 4 years after cognitive symptom onset, parkinsonism and fluctuations occur within the first 2 years.
Progressive dysexecutive syndrome due to Alzheimer’s disease: A description of 55 cases and comparisons to other clinical AD phenotypes
Townley, Ryan , Graff‐Radford, Jonathan, Przybelski, Scott A. , Reichard, Ross R., Savica, Rodolfo , Drubach, Daniel A., Josephs, Keith A. , Lowe, Val J. , Petersen, Ronald C. , Graff‐Radford, Jonathan , Mantyh, William G. , Botha, Hugo , Polsinelli, Angelina J. , Machulda, Mary M. , Senjem, Matthew L. , Murray, Melissa E. , Boeve, Bradley F. , Knopman, David S. , Jack, Clifford R. , Jones, David T.

Mayo Clinic

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S6 | Pages: No page available

10.1002/alz.040622 Get It

AbstractBackgroundWe report a group of individuals presenting with a progressive dementia syndrome characterized by predominant dysfunction in core executive functions and positive biomarkers for Alzheimer’s pathophysiology.MethodIn this retrospective review, we report on 55 participants with a clinically defined progressive dysexecutive syndrome with 18F‐fluorodeoxyglucose‐positron emission tomography (FDG) and AD biomarker positivity. A subset of these individuals enrolled in our ADRC were compared to other phenotypic variants of AD.ResultSixty‐two percent were female with a mean of 15.2 years of education. Mean age of symptom onset was 53.8 while mean age at diagnosis was 57.2 years. Multi‐domain cognitive impairment was evident in neuropsychological testing with executive dysfunction most consistently and severely affected. The frontal and/or parietal regions demonstrate clear hypometabolism on positron emission tomography in all cases. Genetic testing for autosomal dominant genes was negative in all 8 participants tested and at least one APOE ε4 allele was present in 14/26. EEG was abnormal in 14/17 cases. CSF and neuroimaging biomarkers (PIB‐PET and Tau‐PET) were consistent with Alzheimer’s disease pathophysiology, although CSF p‐tau was normal in 24% of cases. In two participants that came to autopsy, the hippocampus was relatively spared compared to frontal and parietal cortex. Participants presenting with a progressive dysexecutive syndrome and evidence of AD pathology are labeled dAD. Comparing FDG in dAD relative to other AD phenotypes revealed unique areas of relatively greater hypometabolism in parieto‐frontal cortex and relative sparing of medial temporal (vs typical AD), visual (vs PCA), and left temporal (vs lvPPA) (Figure 1). Controlling for age did not alter patterns of regional differences. This demonstrates regional variability related to clinical phenotype not accountable by variation in age, duration, stage, or severity (Figure 2).ConclusionA progressive dysexecutive syndrome should be recognized as a distinct clinical phenotype. This clinical presentation can be due to Alzheimer’s disease but is not specific for any single etiology (non‐AD cases of progressive dysexecutive syndrome will be discussed). Prominent impairment of executive task performance, young‐age of onset, normal CSF p‐tau, and relative preservation of the hippocampus were commonly encountered in this case series of dAD.
White matter hypertensity burden varies in empirically derived incident MCI subtypes
Albertson, Sabrina M., Graff‐Radford, Jonathan , Petersen, Ronald C. , Bondi, Mark W. , Machulda, Mary M. , Lundt, Emily S. , Jack, Clifford R. , Mielke, Michelle M. , Kremers, Walter K. , Knopman, David S. , Jones, David T. , Vemuri, Prashanthi

Mayo Clinic

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S6 | Pages: No page available

10.1002/alz.039560 Get It

AbstractBackgroundWhite matter changes and Alzheimer’s disease pathology frequently co‐exist in the population. Recently we empirically derived subtypes of incident mild cognitive impairment (MCI) and found that there was significant heterogeneity not only in cognitive impairment profiles but also gray matter atrophy suggesting that multiple etiologies may contribute to cognitive impairment in these subtypes. The aim of this study was to examine differences in white matter hyperintensity (WMH) volume in these same MCI subtypes and investigate amyloid deposition in a smaller subset.MethodWe analyzed data from 188 participants with incident MCI enrolled in the population‐based Mayo Clinic Study of Aging (MCSA) identified as having one of four MCI subtypes: subtle cognitive impairment (SCI), amnestic, dysnomic, and dysexecutive. All participants completed 3T imaging at the time of the MCI diagnosis. Using WMH volume scaled by TIV and PIB SUVR, we compared each MCI subtype to 344 cognitively impaired (CU) participants (mean age 78; 46% women) and each other.ResultThe amnestic (n = 83; mean age 80; 43% women), dysnomic (n = 30; mean age 84; 47% women) and dysexecutive subtypes (n = 49; mean age 83; 35% women) had significantly higher WMH volumes compared to CU (p < .02) while the SCI subtype (n = 26; mean age 80; 23% women) did not differ from CU (p = .76). Amongst the MCI subtypes, the amnestic (p = .04) and dysexecutive subtypes (p = .01) had significantly higher WMH volumes than the SCI subtype [Figure 1]. In a smaller subset of individuals who also completed PiB‐PET (17/26 SCI; 39/83 amnestic; 10/30 dysnomic, 28/49 dysexecutive), we found evidence for higher amyloid load in all MCI subgroups except the SCI group (p<0.05) in comparison to CU.ConclusionWe found significantly elevated levels of WMH and amyloid burden in amnestic, dysnomic, and dysexecutive subtypes of incident MCI supporting the notion that both vascular changes and amyloid contribute to the development of clinical symptoms. Surprisingly, WMH and amyloid positivity were not high in SCI suggesting that the pathophysiology in this group needs further investigation.
Functional connectivity is associated with tau spreading in dementia with Lewy bodies
Gunter, Jeffrey L. , Przybelski, Scott A. , Graff‐Radford, Jonathan, Savica, Rodolfo , Lowe, Val J. , Fields, Julie A. , Petersen, Ronald C. , Graff‐Radford, Neill R. , Kantarci, Kejal, Schumacher, Julia , Jones, David T. , Graff‐Radford, Jonathan , Schwarz, Christopher G. , Senjem, Matthew L. , Jack, Clifford R. , Knopman, David S. , Kremers, Walter K. , Ferman, Tanis J. , Boeve, Bradley F. , Thomas, Alan , Taylor, John‐Paul , Kantarci, Kejal

Mayo Clinic

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S2 | Pages: No page available

10.1002/alz.037681 Get It

AbstractBackgroundDementia with Lewy bodies (DLB) is neuropathologically defined by the presence of α‐synuclein aggregations, but many DLB cases show significant Alzheimer’s disease (AD) pathology in the form of β‐amyloid and tau. Our first objective was to investigate the effect of AD co‐pathology on functional network failure in DLB. Secondly, we studied how the distribution of tau relates to functional connectivity in DLB.MethodTwenty‐three DLB, 23 age‐ and sex‐matched AD, and 90 cognitively unimpaired (CU) participants underwent AV1451 tau‐PET, Pittsburgh compound‐B (PiB) PET, and resting state (rs)‐fMRI scans. The rs‐fMRI data were used to calculate the Network Failure Quotient (NFQ), a marker of functional network failure within the default mode network. The NFQ was then correlated with overall cortical tau standardized uptake value ratio (SUVr). The strength of inter‐regional functional connectivity was assessed using the Schaefer100 atlas. Tau‐PET covariance was measured as the correlation in AV1451 SUVr between any two regions across participants. The association between region‐to‐region functional connectivity and tau‐PET covariance was assessed using linear regression. Additionally, we identified the region with highest and the region with lowest tau SUVrs (tau hot‐ and coldspot) and tested whether tau SUVr in all other brain regions was associated with the strength of functional connectivity to these tau hot‐ and coldspots.ResultOverall higher cortical tau‐PET uptake correlated with higher NFQ (i.e. greater functional network failure) in DLB who were PiB+ (N=14, ρ=0.60, p=0.02), but not in DLB who were PiB‐ (N=9, ρ=‐0.06, p=0.87). Higher functional connectivity between regions was associated with higher tau covariance in CU, AD, and DLB, independent of PiB status. Higher functional connectivity of a target region to the tau hotspot (i.e. inferior/medial temporal cortex) was related to higher AV1451 SUVRs in the target region whereas higher functional connectivity to the tau coldspot (i.e. sensory‐motor cortex) was related to lower AV1451 SUVr in the target region.ConclusionGreater tau burden in DLB patients with β‐amyloid co‐pathology is associated with an AD‐like functional network failure. As previously demonstrated within the AD spectrum, functional connectivity may contribute to the spreading of tau across the brain also in DLB.
Multiple aetiologies of the progressive dysexecutive syndrome and the importance of biomarkers
Jones, David T.

Mayo Clinic

Brain Communications | November 12, 2020 | Volume: 2 | Issue: 2 | Pages: No page available

10.1093/braincomms/fcaa127 | PMID 33216830 Get It

Failure to demonstrate efficacy of aducanumab: An analysis of the EMERGE and ENGAGE trials as reported by Biogen, December 2019
Greicius, Michael D. , Knopman, David S. , Jones, David T.

Mayo Clinic

Alzheimer's & Dementia | November 2, 2020 | Volume: 17 | Issue: 4 | Pages: 696-701

10.1002/alz.12213 | PMID 33135381 Get It

Abstract Aducanumab recently underwent two large phase III clinical trials that were stopped prematurely by the sponsor Biogen. One trial was trending positive while the other showed no benefits from aducanumab. Post hoc analyses led the sponsor to assert that there was a sufficient efficacy signal to justify a new drug application as a treatment for Alzheimer's disease. The sponsor claimed that subsets of participants receiving sufficiently high doses of aducanumab demonstrated benefits in both trials. In contrast, we identified alternative accounts for the apparent drug benefits in post hoc subgroups that are unrelated to dose effects. Biomarker data were consistent with target engagement, but no evidence was presented to correlate biomarker changes to cognitive benefits. Our analysis supports the conduct of a third, phase III trial with high‐dose aducanumab. Aducanumab's efficacy as a treatment for the cognitive dysfunction in Alzheimer's disease cannot be proven by clinical trials with divergent outcomes.
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

Tau and Amyloid Relationships with Resting-state Functional Connectivity in Atypical Alzheimer’s Disease
Sintini, Irene , Graff‐Radford, Jonathan , Martin, Peter R. , Senjem, Matthew L. , Gunter, Jeffrey L. , Lowe, Val J. , Josephs, Keith A. , Whitwell, Jennifer L. , Senjem, Matthew L , Jones, David T. , Botha, Hugo , Machulda, Mary M. , Schwarz, Christopher G. , Jack, Clifford R.

Mayo Clinic

Cerebral Cortex | October 6, 2020 | Volume: 31 | Issue: 3 | Pages: 1693-1706

10.1093/cercor/bhaa319 | PMID 33152765 Get It

AbstractThe mechanisms through which tau and amyloid-beta (Aβ) accumulate in the brain of Alzheimer’s disease patients may differ but both are related to neuronal networks. We examined such mechanisms on neuroimaging in 58 participants with atypical Alzheimer’s disease (posterior cortical atrophy or logopenic progressive aphasia). Participants underwent Aβ-PET, longitudinal tau-PET, structural MRI and resting-state functional MRI, which was analyzed with graph theory. Regions with high levels of Aβ were more likely to be functional hubs, with a high number of functional connections important for resilience to cascading network failures. Regions with high levels of tau were more likely to have low clustering coefficients and degrees, suggesting a lack of trophic support or vulnerability to local network failures. Regions strongly functionally connected to the disease epicenters were more likely to have higher levels of tau and, less strongly, of Aβ. The regional rate of tau accumulation was associated with tau levels in functionally connected regions, in support of tau accumulation in a functional network. This study elucidates the relations of tau and Aβ to functional connectivity metrics in atypical Alzheimer’s disease, strengthening the hypothesis that the spread of the 2 proteins is driven by different biological mechanisms related to functional networks.
Phase I, Pharmacogenomic, Drug Interaction Study of Sorafenib and Bevacizumab in Combination with Paclitaxel in Patients with Advanced Refractory Solid Tumors
Chiorean, E. Gabriela , Perkins, Susan M. , Younger, Anne, Funke, Jennifer M., Shahda, Safi, Hahn, Noah M. , Sandrasegaran, Kumar , Jones, David , Skaar, Todd C. , Schneider, Bryan P. , Sweeney, Christopher J. , Matei, Daniela E , Sweeney, Christopher , Strother, Robert Matthew , Jones, David R., Matei, Daniela

Mayo Clinic

Molecular Cancer Therapeutics | August 26, 2020 | Volume: 19 | Issue: 10 | Pages: 2155-2162

10.1158/1535-7163.mct-20-0277 | PMID 32847973 Get It

Abstract VEGF blockade does not uniformly result in clinical benefit. We evaluated safety, dose-limiting toxicities (DLT), recommended phase II dose (RP2D), antitumor efficacy, and exploratory biomarkers including pharmacogenomics and pharmacokinetics with sorafenib, bevacizumab, and paclitaxel in patients with refractory cancers. The study had a “3 + 3” design, using paclitaxel 80 mg/m2 every week for 3 weeks, in every 4 week cycles, bevacizumab 5 mg/kg every 2 weeks, and sorafenib 200 or 400 mg twice a day, 5 or 7 days/week (5/7, 7/7). The MTD cohort was expanded. Twenty-seven patients enrolled in 3 cohorts: sorafenib 200 mg twice a day 5/7, 200 mg twice a day 7/7, and 400 mg twice a day 5/7. DLTs were grade 3 neutropenia &gt;7 days (cohort 1, 1), grade 3 hypertension (cohort 2, 1), grade 3 hand–foot skin reaction (HFSR; cohort 3, 2). MTD was sorafenib 200 mg twice a day 7/7. Six DLTs occurred in cohort 2 expansion: grade 3 HFSR (2), grade 2 HFSR with sorafenib delay &gt;7 days (2), grade 4 cerebrovascular accident (1), grade 3 neutropenia &gt;7 days (1). RP2D was sorafenib 200 mg twice a day 5/7. Most patients (62%) dose reduced sorafenib to 200 mg daily 5/7 after a median 3 (range, 2–17) cycles. Response rates were 48% overall (27) and 64% for ovarian cancers (14). VEGF-A-1154AA and -7TT recessive homozygous genotypes conferred worse overall survival versus alternative genotypes (7 vs. 22 months). Intermittent, low-dose sorafenib (200 mg twice a day 5/7) combined with bevacizumab and paclitaxel was tolerable and had high antitumor efficacy in patients with refractory cancer (NCT00572078).