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Trojanowski, John Q.

https://orcid.org/0000-0002-9239-8794

Mayo Clinic

University of Pennsylvania

Citations 120

At the interface of sensory and motor dysfunctions and Alzheimer's disease
Gilmore, Grover C. , Kaye, Jeffrey , Murphy, Claire , Wingfield, Arthur , Bennett, David A. , Boxer, Adam L. , Buchman, Aron S. , Cruickshanks, Karen J., Devanand, Davangere P. , Duffy, Charles J., Gates, George A., Holtzer, Roee , Lin, Frank R. , McKee, Ann C. , Morris, John C. , Petersen, Ronald C. , Silbert, Lisa C. , Struble, Robert G., Trojanowski, John Q. , Verghese, Joe , Xu, Shunbin , Albers, Mark W. , Gall, Christine M. , Granholm, Ann‐Charlotte , Hensch, Takao K. , Hyman, Bradley T. , Wilson, Donald A. , Zhang, Li I. , Bennett, David A. , Morris, John C

Alzheimer's & Dementia | July 8, 2014 | Volume: 11 | Issue: 1 | Pages: 70-98

10.1016/j.jalz.2014.04.514 Get It

Abstract Recent evidence indicates that sensory and motor changes may precede the cognitive symptoms of Alzheimer's disease (AD) by several years and may signify increased risk of developing AD. Traditionally, sensory and motor dysfunctions in aging and AD have been studied separately. To ascertain the evidence supporting the relationship between age‐related changes in sensory and motor systems and the development of AD and to facilitate communication between several disciplines, the National Institute on Aging held an exploratory workshop titled “Sensory and Motor Dysfunctions in Aging and AD.” The scientific sessions of the workshop focused on age‐related and neuropathologic changes in the olfactory, visual, auditory, and motor systems, followed by extensive discussion and hypothesis generation related to the possible links among sensory, cognitive, and motor domains in aging and AD. Based on the data presented and discussed at this workshop, it is clear that sensory and motor regions of the central nervous system are affected by AD pathology and that interventions targeting amelioration of sensory‐motor deficits in AD may enhance patient function as AD progresses.
Effects of traumatic brain injury and posttraumatic stress disorder on Alzheimer's disease in veterans, using the Alzheimer's Disease Neuroimaging Initiative
Weiner, Michael W. , Veitch, Dallas P. , Aisen, Paul, Petersen, Ronald C. , Jagust, William, Trojanowski, John Q. , Shaw, Leslie M. , Saykin, Andrew J. , Harvey, Danielle , Pacifico, Anthony, Sheline, Yvette I. , Yaffe, Kristine , Mohlenoff, Brian, Hayes, Jacqueline , Neylan, Thomas C. , Grafman, Jordan Henry , Jack, Clifford R. , Green, Robert C. , Toga, Arthur W. , Friedl, Karl E. , Saykin, Andrew J , Harvey, Danielle J

Alzheimer's & Dementia | June 9, 2014 | Volume: 10 | Issue: 3S | Pages: No page available

10.1016/j.jalz.2014.04.005 Get It

AbstractBoth traumatic brain injury (TBI) and posttraumatic stress disorder (PTSD) are common problems resulting from military service, and both have been associated with increased risk of cognitive decline and dementia resulting from Alzheimer's disease (AD) or other causes. This study aims to use imaging techniques and biomarker analysis to determine whether traumatic brain injury (TBI) and/or PTSD resulting from combat or other traumas increase the risk for AD and decrease cognitive reserve in Veteran subjects, after accounting for age. Using military and Department of Veterans Affairs records, 65 Vietnam War veterans with a history of moderate or severe TBI with or without PTSD, 65 with ongoing PTSD without TBI, and 65 control subjects are being enrolled in this study at 19 sites. The study aims to select subject groups that are comparable in age, gender, ethnicity, and education. Subjects with mild cognitive impairment (MCI) or dementia are being excluded. However, a new study just beginning, and similar in size, will study subjects with TBI, subjects with PTSD, and control subjects with MCI. Baseline measurements of cognition, function, blood, and cerebrospinal fluid biomarkers; magnetic resonance images (structural, diffusion tensor, and resting state blood‐level oxygen dependent (BOLD) functional magnetic resonance imaging); and amyloid positron emission tomographic (PET) images with florbetapir are being obtained. One‐year follow‐up measurements will be collected for most of the baseline procedures, with the exception of the lumbar puncture, the PET imaging, and apolipoprotein E genotyping. To date, 19 subjects with TBI only, 46 with PTSD only, and 15 with TBI and PTSD have been recruited and referred to 13 clinics to undergo the study protocol. It is expected that cohorts will be fully recruited by October 2014. This study is a first step toward the design and statistical powering of an AD prevention trial using at‐risk veterans as subjects, and provides the basis for a larger, more comprehensive study of dementia risk factors in veterans.
Emerging β-Amyloid Pathology and Accelerated Cortical Atrophy
Mattsson, Niklas , Nosheny, Rachel L. , Tosun, Duygu , Trojanowski, John Q. , Shaw, Leslie M. , Donohue, Michael , Weiner, Michael W. , Insel, Philip S. , Jack, Clifford R. , Donohue, Michael C , Tosun, Duygu

JAMA Neurology | April 28, 2014 | Volume: 71 | Issue: 6 | Pages: 725

10.1001/jamaneurol.2014.446 Get It

P4‐254: Predicting brain amyloidosis in MCI using clinical, cognitive, imaging and peripheral blood protein measures
Apostolova, Liana G. , Hwang, Kristy , Kohannim, Omid , Shaw, Leslie M. , Trojanowski, John Q. , Weiner, Michael W. , Jack, Clifford R. , Thompson, Paul M.

Alzheimer's & Dementia | March 29, 2014 | Volume: 8 | Issue: 4S_Part_20 | Pages: No page available

10.1016/j.jalz.2013.08.036 Get It

Absence of C9ORF72 expanded or intermediate repeats in autopsy‐confirmed Parkinson's disease
Nuytemans, Karen , Inchausti, Vanessa, Beecham, Gary W. , Wang, Liyong , Dickson, Dennis W. , Trojanowski, John Q. , Mash, Deborah C. , Frosch, Matthew P. , Montine, Thomas J. , Dawson, Ted M. , Martin, Eden R. , Scott, William K. , Vance, Jeffery M. , Lee, Virginia M.‐Y. , Foroud, Tatiana , Honig, Lawrence S. , Dickson, Dennis W

Movement Disorders | February 26, 2014 | Volume: 29 | Issue: 6 | Pages: 827-830

10.1002/mds.25838 Get It

ABSTRACTBackgroundWe have reported that intermediate repeat lengths of the C9ORF72 repeat are a risk factor for Parkinson's disease (PD) in a clinically diagnosed data set. Because 10% to 25% of clinically diagnosed PD have different diagnoses upon autopsy, we hypothesized that this may reflect phenotypic heterogeneity or concomitant pathology of other neurodegenerative disorders.MethodsWe screened 488 autopsy‐confirmed PD cases for expansion haplotype tag rs3849942T. In 196 identified haplotype carriers, the C9ORF72 repeat was genotyped using the repeat‐primed polymerase chain reaction assay.ResultsNo larger (intermediate or expanded) repeats were found in these autopsy‐confirmed PD samples. This absence of larger repeats is significantly different from the frequency in clinically diagnosed datasets (P = 0.002).ConclusionsOur results suggest that expanded or intermediate C9ORF72 repeats in clinically diagnosed PD or parkinsonism might be an indication of heterogeneity in clinically diagnosed PD cases. Further studies are needed to elucidate the potential contribution of the C9ORF72 repeat to autopsy‐confirmed PD. © 2014 International Parkinson and Movement Disorder Society
IC‐P‐020: Peripheral blood plasma protein levels are associated with Pittsburgh compound B‐binding in the brain
Hwang, Kristy , Lazaris, Andreas, Eastman, Jennifer , Gylys, Karen H. , Cole, Greg M., Shaw, Leslie M. , Soares, Holly , Trojanowski, John Q. , Apostolova, Liana G. , Teng, Edmond , Koeppe, Robert A. , Thompson, Paul M. , Jack, Clifford R. , Weiner, Michael W.

Alzheimer's & Dementia | October 9, 2013 | Volume: 9 | Issue: 4S_Part_1 | Pages: No page available

10.1016/j.jalz.2013.05.021 Get It

P1–283: Peripheral blood plasma protein levels are associated with Pittsburgh compound B binding in the brain
Hwang, Kristy , Lazaris, Andreas, Eastman, Jennifer , Gylys, Karen H. , Shaw, Leslie M. , Soares, Holly , Trojanowski, John Q. , Apostolova, Liana G. , Teng, Edmond , Koeppe, Robert A. , Thompson, Paul M. , Cole, G. M. , Jack, Clifford R. , Weiner, Michael W.

Alzheimer's & Dementia | October 9, 2013 | Volume: 9 | Issue: 4S_Part_6 | Pages: No page available

10.1016/j.jalz.2013.05.508 Get It

O3–03–01: Update on hypothetical model of Alzheimer's disease biomarkers
Jagust, William J. , Petersen, Ronald C. , Weiner, Michael W. , Aisen, Paul, Shaw, Leslie M. , Wiste, Heather J. , Weigand, Stephen D. , Lesnick, Timothy G. , Donohue, Michael , Trojanowski, John Q. , Jack, Clifford R. , Knopman, David S. , Vemuri, Prashanthi , Pankratz, V. Shane , Donohue, Michael C

Alzheimer's & Dementia | October 9, 2013 | Volume: 9 | Issue: 4S_Part_13 | Pages: No page available

10.1016/j.jalz.2013.04.248 Get It

The Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception
Weiner, Michael W. , Veitch, Dallas P. , Aisen, Paul, Beckett, Laurel , Cairns, Nigel J., Harvey, Danielle , Jagust, William J. , Liu, Enchi , Morris, John C. , Petersen, Ronald C. , Saykin, Andrew J. , Shaw, Leslie M. , Shen, Li , Siuciak, Judith A. , Soares, Holly , Trojanowski, John Q. , Initiative, Alzheimer's Disease Neuroimaging, Green, Robert C. , Jack, Clifford R. , Schmidt, Mark E. , Toga, Arthur W. , Initiative, Alzheimer's Disease Neuroimaging, Saykin, Andrew J , Shen, Li , Morris, John C , Harvey, Danielle J

Alzheimer's & Dementia | August 7, 2013 | Volume: 9 | Issue: 5 | Pages: No page available

10.1016/j.jalz.2013.05.1769 Get It

AbstractThe Alzheimer's Disease Neuroimaging Initiative (ADNI) is an ongoing, longitudinal, multicenter study designed to develop clinical, imaging, genetic, and biochemical biomarkers for the early detection and tracking of Alzheimer's disease (AD). The study aimed to enroll 400 subjects with early mild cognitive impairment (MCI), 200 subjects with early AD, and 200 normal control subjects; $67 million funding was provided by both the public and private sectors, including the National Institute on Aging, 13 pharmaceutical companies, and 2 foundations that provided support through the Foundation for the National Institutes of Health. This article reviews all papers published since the inception of the initiative and summarizes the results as of February 2011. The major accomplishments of ADNI have been as follows: (1) the development of standardized methods for clinical tests, magnetic resonance imaging (MRI), positron emission tomography (PET), and cerebrospinal fluid (CSF) biomarkers in a multicenter setting; (2) elucidation of the patterns and rates of change of imaging and CSF biomarker measurements in control subjects, MCI patients, and AD patients. CSF biomarkers are consistent with disease trajectories predicted by β‐amyloid cascade (Hardy, J Alzheimers Dis 2006;9(Suppl 3):151–3) and tau‐mediated neurodegeneration hypotheses for AD, whereas brain atrophy and hypometabolism levels show predicted patterns but exhibit differing rates of change depending on region and disease severity; (3) the assessment of alternative methods of diagnostic categorization. Currently, the best classifiers combine optimum features from multiple modalities, including MRI, [18F]‐fluorodeoxyglucose‐PET, CSF biomarkers, and clinical tests; (4) the development of methods for the early detection of AD. CSF biomarkers, β‐amyloid 42 and tau, as well as amyloid PET may reflect the earliest steps in AD pathology in mildly symptomatic or even nonsymptomatic subjects, and are leading candidates for the detection of AD in its preclinical stages; (5) the improvement of clinical trial efficiency through the identification of subjects most likely to undergo imminent future clinical decline and the use of more sensitive outcome measures to reduce sample sizes. Baseline cognitive and/or MRI measures generally predicted future decline better than other modalities, whereas MRI measures of change were shown to be the most efficient outcome measures; (6) the confirmation of the AD risk loci CLU, CR1, and PICALM and the identification of novel candidate risk loci; (7) worldwide impact through the establishment of ADNI‐like programs in Europe, Asia, and Australia; (8) understanding the biology and pathobiology of normal aging, MCI, and AD through integration of ADNI biomarker data with clinical data from ADNI to stimulate research that will resolve controversies about competing hypotheses on the etiopathogenesis of AD, thereby advancing efforts to find disease‐modifying drugs for AD; and (9) the establishment of infrastructure to allow sharing of all raw and processed data without embargo to interested scientific investigators throughout the world. The ADNI study was extended by a 2‐year Grand Opportunities grant in 2009 and a renewal of ADNI (ADNI‐2) in October 2010 through to 2016, with enrollment of an additional 550 participants.
Association of plasma and cortical amyloid beta is modulated by APOE ε4 status
Swaminathan, Shanker , Yoder, Karmen K. , West, John D. , Shen, Li , Kim, Sungeun , Inlow, Mark , Jagust, William, Mathis, Chester A. , Shaw, Leslie M. , Trojanowski, John Q. , Soares, Holly , Aisen, Paul, Petersen, Ronald C. , Weiner, Michael W. , Saykin, Andrew J. , Initiative, Alzheimer's Disease Neuroimaging, Risacher, Shannon L. , Foroud, Tatiana , Koeppe, Robert A. , Initiative, Alzheimer's Disease Neuroimaging, Saykin, Andrew J , Shen, Li

Alzheimer's & Dementia | March 26, 2013 | Volume: 10 | Issue: 1 | Pages: No page available

10.1016/j.jalz.2013.01.007 Get It

AbstractBackgroundApolipoprotein E (APOE) ε4 allele's role as a modulator of the relationship between soluble plasma amyloid beta (Aβ) and fibrillar brain Aβ measured by Pittsburgh compound B positron emission tomography ([11C]PiB PET) has not been assessed.MethodsNinety‐six Alzheimer's Disease Neuroimaging Initiative participants with [11C]PiB scans and plasma Aβ1–40 and Aβ1–42 measurements at the time of PET scanning were included. Regional and voxelwise analyses of [11C]PiB data were used to determine the influence of APOE ε4 allele on association of plasma Aβ1–40, Aβ1–42, and Aβ1–40/Aβ1–42 with [11C]PiB uptake.ResultsIn APOE ε4− but not ε4+ participants, positive relationships between plasma Aβ1–40/Aβ1–42 and [11C]PiB uptake were observed. Modeling the interaction of APOE and plasma Aβ1–40/Aβ1–42 improved the explained variance in [11C]PiB binding compared with using APOE and plasma Aβ1–40/Aβ1–42 as separate terms.ConclusionsThe results suggest that plasma Aβ is a potential Alzheimer's disease biomarker and highlight the importance of genetic variation in interpretation of plasma Aβ levels.