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Cerebrospinal fluid biomarkers in the Longitudinal Early‐onset Alzheimer's Disease Study
Dage, Jeffrey L. , Eloyan, Ani , Thangarajah, Maryanne, Hammers, Dustin B. , Fagan, Anne M. , Gray, Julia, Snoddy, Casey, Faber, Kelley , Foroud, Tatiana M., Aisen, Paul , Griffin, Percy , Grinberg, Lea T. , Kirby, Kala, Kramer, Joel H. , Kukull, Walter A. , Joie, Renaud La , Mundada, Nidhi S. , Rumbaugh, Malia, Soleimani‐Meigooni, David N. , Touroutoglou, Alexandra , Vemuri, Prashanthi , Day, Gregory S. , Graff‐Radford, Neill R. , Duara, Ranjan , Masdeu, Joseph C. , Mendez, Mario F. , Onyike, Chiadi U. , Riddle, Meghan , Rogalskı, Emily , Salloway, Stephen , Sha, Sharon J. , Turner, Raymond Scott , Wingo, Thomas S. , Carrillo, María C. , Rabinovici, Gil D. , Apostolova, Liana G. , Vemuri, Prashanthi , Day, Gregory S , La Joie, Renaud , Grinberg, Lea , Rabinovici, Gil D , Wingo, Thomas S , Dage, Jeffrey L , Hammers, Dustin B , Schindler, Suzanne E. , Nudelman, Kelly , Iaccarino, Leonardo , Kirby, Kala, Koeppe, Robert A. , Murray, Melissa E. , Toga, Arthur W. , Atri, Alireza , Beckett, Laurel , Duara, Ranjan , Honig, Lawrence S. , Jones, David T. , Masdeu, Joseph C , Musiek, Erik , Wolk, David A. , Womack, Kyle , Dickerson, Bradford Clark

Alzheimer's & Dementia | July 25, 2023 | Volume: 19 | Issue: S9 | Pages: No page available

10.1002/alz.13399 | PMID 37491668 Get It

AbstractIntroductionOne goal of the Longitudinal Early Onset Alzheimer's Disease Study (LEADS) is to define the fluid biomarker characteristics of early‐onset Alzheimer's disease (EOAD).MethodsCerebrospinal fluid (CSF) concentrations of Aβ1‐40, Aβ1‐42, total tau (tTau), pTau181, VILIP‐1, SNAP‐25, neurogranin (Ng), neurofilament light chain (NfL), and YKL‐40 were measured by immunoassay in 165 LEADS participants. The associations of biomarker concentrations with diagnostic group and standard cognitive tests were evaluated.ResultsBiomarkers were correlated with one another. Levels of CSF Aβ42/40, pTau181, tTau, SNAP‐25, and Ng in EOAD differed significantly from cognitively normal and early‐onset non‐AD dementia; NfL, YKL‐40, and VILIP‐1 did not. Across groups, all biomarkers except SNAP‐25 were correlated with cognition. Within the EOAD group, Aβ42/40, NfL, Ng, and SNAP‐25 were correlated with at least one cognitive measure.DiscussionThis study provides a comprehensive analysis of CSF biomarkers in sporadic EOAD that can inform EOAD clinical trial design.
Polygenic risk score penetrance & recurrence risk in familial Alzheimer disease
Qiao, Min , Lee, Annie , Reyes‐Dumeyer, Dolly , Faber, Kelley , Goate, Alison , Chao, Michael J., Pericak‐Vance, Margaret A. , Haines, Jonathan L. , Rosenberg, Roger N., Bennett, David A. , Wilson, Robert S. , Mayeux, Richard , Bennett, David A. , Vardarajan, Badri Narayan , Goate, Alison M , Tosto, Giuseppe , Renton, Alan , Boeve, Bradley F. , Cruchaga, Carlos , Tsuang, Debby W. , Sweet, Robert A. , Foroud, Tatiana

Annals of Clinical and Translational Neurology | March 22, 2023 | Volume: 10 | Issue: 5 | Pages: 744-756

10.1002/acn3.51757 | PMID 36946865 Get It

AbstractObjectiveTo compute penetrance and recurrence risk using a genome‐wide PRS (including and excluding the APOE region) in families with Alzheimer's disease.MethodsGenotypes from the National Institute on Aging Late‐Onset Alzheimer's Disease Family‐Based Study and a study of familial Alzheimer's disease in Caribbean Hispanics were used to compute PRS with and without variants in the 2 MB region flanking APOE. PRS was calculated in using clumping/thresholding and Bayesian methods and was assessed for association with Alzheimer's disease and age at onset. Penetrance and recurrence risk for carriers in highest and lowest PRS quintiles were compared separately within APOE‐ε4 carriers and non‐carriers.ResultsPRS excluding the APOE region was strongly associated with clinical and neuropathological diagnosis of AD. PRS association with AD was similar in participants who did not carry an APOE‐ε4 allele (OR = 1.74 [1.53–1.91]) compared with APOE‐ε4 carriers (1.53 [1.4–1.68]). Compared to the lowest quintile, the highest PRS quintile had a 10% higher penetrance at age 70 (p = 0.0006) and a 20% higher penetrance at age 80 (p < 10e‐05). Stratifying by APOE‐ε4 allele, PRS in the highest quintile was significantly more penetrant than the lowest quintile, both, within APOE‐ε4 carriers (14.5% higher at age 80, p = 0.002) and non‐carriers (26% higher at 80, p < 10e‐05). Recurrence risk for siblings conferred by a co‐sibling in the highest PRS quintile increased from 4% between the ages of 65–74 years to 39% at age 85 and older.InterpretationPRS can be used to estimate penetrance and recurrence risk in familial Alzheimer's disease among carriers and non‐carries of APOE‐ε4.
Association of Physical Activity With Neurofilament Light Chain Trajectories in Autosomal Dominant Frontotemporal Lobar Degeneration Variant Carriers
Casaletto, Kaitlin B. , Kornack, John, VandeBunte, Anna M. , Staffaroni, Adam S., Lee, Shannon, Heuer, Hilary W. , Forsberg, Leah K. , Ramos, Eliana Marisa , Kramer, Joel H. , Yaffe, Kristine , Petrucelli, Leonard , Boxer, Adam L. , Rosen, Howard J. , Apostolova, Liana G. , Barmada, Sami J. , Bordelon, Yvette , Brushaber, Danielle , Coppola, Giovanni, Darby, Ryan, Domoto-Reilly, Kimiko, Faber, Kelley, Fagan, Anne M. , Fields, Julie A. , Geschwind, Daniel H. , Ghoshal, Nupur , Gavrilova, Ralitza, Graff-Radford, Jonathon, Graff‐Radford, Neill R. , Grant, Ian , Grossman, Murray, Hall, Matthew , Huey, Edward D. , Kauer, Daniel, Kornak, John , Lago, Argentina Lario , Lee, Suzee, Ljubenkov, Peter A. , Lucente, Diana E., Mackenzie, Ian R. , Masdeux, Joseph C., McGinnis, Scott, Mendez, Mario F. , Mester, Carly , Onyike, Chiadi U. , Pascual, María Belén, Rademakers, Rosa , Rao, Meghana , Rascovsky, Katya, Rankin, Katherine P. , Ritter, Aaron, Savica, Rodolfo , Syrjanen, Jeremy A. , Staffaroni, Adam M. , Taylor, Jack C. , Weıntraub, Sandra , Damme, Philip Van , Van Damme, Philip , Barmada, Sami , Paolillo, Emily W. , Rojas, Julio C. , Miller, Bruce L. , Boeve, Bradley F. , Gendron, Tania F. , Appleby, Brian S. , Botha, Hugo , Bozoki, Andrea C , Clark, David , Coppola, Giovanni, Dickerson, Bradford Clark , Dickson, Dennis W. , Domoto‐Reilly, Kimiko , Foroud, Tatiana , Goldman, Jill , Galasko, Douglas , Huang, Eric J. , Hsiung, Ging‐Yuek Robin , Irwin, David J. , Kantarci, Kejal , Kerwin, Diana , Knopman, David S. , Kremers, Walter K. , Lapid, Maria I. , Léger, Gabriel C. , Litvan, Irene , Pressman, Peter, Ramanan, Vijay K. , Seeley, William W. , Tartaglia, Maria Carmela , VandeVrede, Lawren , Wong, Bonnie

JAMA Neurology | November 14, 2022 | Volume: 80 | Issue: 1 | Pages: 82

10.1001/jamaneurol.2022.4178 | PMID 36374516 Get It

ImportancePhysical activity is associated with cognitive health, even in autosomal dominant forms of dementia. Higher physical activity is associated with slowed cognitive and functional declines over time in adults carrying autosomal dominant variants for frontotemporal lobar degeneration (FTLD), but whether axonal degeneration is a potential neuroprotective target of physical activity in individuals with FTLD is unknown.ObjectiveTo examine the association between physical activity and longitudinal neurofilament light chain (NfL) trajectories in individuals with autosomal dominant forms of FTLD.Design, Setting, and ParticipantsThis cohort study included individuals from the ALLFTD Consortium, which recruited patients from sites in the US and Canada. Symptomatic and asymptomatic adults with pathogenic variants in one of 3 common genes associated with FTLD (GRN, C9orf72, or MAPT) who reported baseline physical activity levels and completed annual blood draws were assessed annually for up to 4 years. Genotype, clinical measures, and blood draws were collected between December 2014 and June 2019; data were analyzed from August 2021 to January 2022. Associations between reported baseline physical activity and longitudinal plasma NfL changes were assessed using generalized linear mixed-effects models adjusting for baseline age, sex, education, functional severity, and motor symptoms.ExposuresBaseline physical activity levels reported via the Physical Activity Scale for the Elderly. To estimate effect sizes, marginal means were calculated at 3 levels of physical activity: 1 SD above the mean represented high physical activity, 0 SD represented average physical activity, and 1 SD below the mean represented low physical activity.Main Outcomes and MeasuresAnnual plasma NfL concentrations were measured with single-molecule array technology.ResultsOf 160 included FTLD variant carriers, 84 (52.5%) were female, and the mean (SD) age was 50.7 (14.7) years. A total of 51 (31.8%) were symptomatic, and 77 carried the C9orf72 variant; 39, GRN variant; and 44, MAPT variant. Higher baseline physical activity was associated with slower NfL trajectories over time. On average, NfL increased 45.8% (95% CI, 22.5 to 73.7) over 4 years in variant carriers. Variant carriers with high physical activity demonstrated 14.0% (95% CI, −22.7 to −4.3) slower NfL increases compared with those with average physical activity and 30% (95% CI, −52.2 to −8.8) slower NfL increases compared with those with low physical activity. Within genotype, C9orf72 and MAPT carriers with high physical activity evidenced 18% to 21% (95% CI, −43.4 to −7.2) attenuation in NfL, while the association between physical activity and NfL trajectory was not statistically significant in GRN carriers. Activities associated with higher cardiorespiratory and cognitive demands (sports, housework, and yardwork) were most strongly correlated with slower NfL trajectories (vs walking and strength training).Conclusions and RelevanceIn this study, higher reported physical activity was associated with slower progression of an axonal degeneration marker in individuals with autosomal dominant FTLD. Physical activity may serve as a primary prevention target in FTLD.
Gearing up for the future: Exploring facilitators and barriers to inform clinical trial design in frontotemporal lobar degeneration
Banga, Yasmin B, Lai, Yujung, Kim, Priscilla , Boxer, Adam L. , Rosen, Howard J. , Forsberg, Leah K. , Heuer, Hilary W. , Brushaber, Danielle , Bordelon, Yvette , Dickerson, Brad C., Dickinson, Susan, Faber, Kelley , Fagan, Anne M. , Fields, Julie A. , Fishman, Ann, Galasko, Doug, Gavrilova, Ralitza H. , Geschwind, Daniel H. , Ghoshal, Nupur , Graff‐Radford, Jonathan, Graff‐Radford, Neill R. , Grant, Ian , Huey, Edward D. , Karydas, Anna M., Kaufer, Daniel , Kramer, Joel H. , Kornak, John , Lagone, Emma, Ljubenkov, Peter A. , Lucente, Diane , Mackenzie, Ian R. , Manoochehri, Masood , Masdeu, Joseph C. , McGinnis, Scott, Mendez, Mario F, Miyagawa, Toji , Nelson, K. , Onyike, Chiadi U. , Pantelyat, Alex, Pearlman, Rodney , Petrucelli, Leonard , Rademakers, Rosa , Ramos, Eliana Marisa , Rankin, Katherine P. , Rascovsky, Katya, Ritter, Aaron, Sabbagh, Marwan N. , Salmon, David P. , Savica, Rodolfo , Staffaroni, Adam M. , Syrjanen, Jeremy A. , Tatton, Nadine , Taylor, Jack C. , Weıntraub, Sandra , Wheaton, Diana, Wong, Benjamin , Boeve, Bradley F. , Appleby, Brian S. , Biernacka, Joanna M. , Botha, Hugo , Bozoki, Andrea C , Brannelly, Patrick , Dickson, Dennis W. , Domoto‐Reilly, Kimiko , Foroud, Tatiana , Gendron, Tania F. , Goldman, Jill , Graff‐Radford, Jonathan , Grossman, Murray , Hsiung, Ging‐Yuek Robin , Huang, Eric J. , Irwin, David J. , Jones, David T. , Kantarci, Kejal , Knopman, David S. , Kremers, Walter K. , Kukull, Walter A. , Léger, Gabriel C. , Litvan, Irene , Masdeu, Joseph C , Mendez, Mario F, Miller, Bruce L. , Nelson, Kevin M, Pascual, Belén , Pottier, Cyril , Rexach, Jessica E. , Roberson, Erik D. , Rojas, Julio C. , Seeley, William W. , Tartaglia, Maria Carmela , Toga, Arthur W. , Wszołek, Zbigniew K.

Alzheimer's & Dementia | February 1, 2022 | Volume: 17 | Issue: S7 | Pages: No page available

10.1002/alz.052495 Get It

AbstractBackgroundFrontotemporal lobar degeneration (FTLD) refers to a group of neurodegenerative conditions, affecting the frontal and/or temporal lobes. Ongoing research has provided insight into developing clinical trials for FTLD and key clinical measures such as structural MRI. To inform clinical trial design and optimize participation, it is imperative to explore facilitators and barriers for potential candidates.ObjectiveThe objective of this study is to explore facilitators and barriers to participating in future clinical trials for FTLD.MethodsAdvancing Research and Treatment for Frontotemporal Lobar Degeneration (ARTFL) and Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS) are observational studies focused on characterizing FTLD syndromes in preparation for clinical trials. The 584 participants enrolled across 18 research sites in the United States and Canada completed a survey assessing interest in clinical trial participation.Results29% of respondents self‐reported as patients (63±10 years), 26% self‐reported as caregivers answering on behalf of patients (65±10 years), and 45% self‐reported as healthy but at risk for FTLD (48±14 years). Travel reimbursement was the most common factor reported to positively influence participation (≧66%), with the healthy but at risk group showing the strongest endorsement (83%). Cost and time involved in travel were possible barriers for about half of the patients (48%) and healthy but at risk respondents (53%). The respondents value receiving feedback on the study findings (≧80%) and being informed of their individual disease progression (≧75%). Particularly, keeping participation confidential was very important for the healthy but at risk group (62%). In regard to research assessments, most participants demonstrated a high interest in physical and neurological exams at a research center (≧87%) whereas only half were interested in doing more invasive procedures such as the lumbar puncture (≧52%). Overall, respondents showed a positive attitude and support for research participation (≧77%) and trusted that their health information would remain confidential in a clinical trial (≧53%).ConclusionsFavorable attitudes and interest towards medical research exist among participants. To optimize participation, clinical trials should allocate funding for travel and involve participants in feedback about study results and their disease progression. Alternatives to invasive assessments may increase participation.
The National Institute on Aging Late‐Onset Alzheimer's Disease Family Based Study: A resource for genetic discovery
Reyes‐Dumeyer, Dolly, Faber, Kelley, Vardarajan, Badri, Goate, Alison, Renton, Alan, Chao, Michael, Boeve, Brad, Cruchaga, Carlos, Pericak‐Vance, Margaret, Haines, Jonathan L., Rosenberg, Roger, Tsuang, Debby, Sweet, Robert A., Bennett, David A., Wilson, Robert S., Foroud, Tatiana, Mayeux, Richard, Goate, Alison , Bennett, David A. , Cruchaga, Carlos , Wilson, Robert S. , Bennett, David A. , Cruchaga, Carlos , Goate, Alison M , Reyes‐Dumeyer, Dolly, Faber, Kelley, Vardarajan, Badri, Renton, Alan, Chao, Michael, Boeve, Brad, Pericak‐Vance, Margaret, Haines, Jonathan L., Rosenberg, Roger, Tsuang, Debby, Sweet, Robert A., Bennett, David A., Wilson, Robert S., Foroud, Tatiana, Mayeux, Richard

Alzheimer's & Dementia | January 3, 2022 | Volume: 18 | Issue: 10 | Pages: 1889-1897

10.1002/alz.12514 | PMID 34978149 Get It

Abstract Introduction The National Institute on Aging Late‐Onset Alzheimer's Disease Family Based Study (NIA‐LOAD FBS) was established to study the genetic etiology of Alzheimer's disease (AD). Methods Recruitment focused on families with two living affected siblings and a third first‐degree relative similar in age with or without dementia. Uniform assessments were completed, DNA was obtained, as was neuropathology, when possible. Apolipoprotein E ( APOE ) genotypes, genome‐wide single nucleotide polymorphism (SNP) arrays, and sequencing was completed in most families. Results APOE genotype modified the age‐at‐onset in many large families. Novel variants and known variants associated with early‐ and late‐onset AD and frontotemporal dementia were identified supporting an international effort to solve AD genetics. Discussion The NIA‐LOAD FBS is the largest collection of familial AD worldwide, and data or samples have been included in 123 publications addressing the genetic etiology of AD. Genetic heterogeneity and variability in the age‐at‐onset provides opportunities to investigate the complexity of familial AD.
Plasma neurofilament light chain levels reflect caregiver burden and social cognition measures in familial frontotemporal lobar degeneration (FTLD)
Heuer, Hilary W. , Toller, Gianina , Rankin, Katherine P. , Brushaber, Danielle , Bordelon, Yvette , Dickerson, Brad C., Faber, Kelley , Forsberg, Leah K. , Ghoshal, Nupur , Grant, Ian , Graff‐Radford, Neill R. , Huey, Edward D. , Karydas, Anna M., Kaufer, Daniel , Lagone, Emma, Ljubenkov, Peter A. , Mackenzie, Ian R. , Mendez, Mario F. , Onyike, Chiadi U. , Ramos, Eliana Marisa , Rascovsky, Katya, Weıntraub, Sandra , Rosen, Howard J. , Boxer, Adam L. , Investigators, ARTFL/LEFFTDS, Rojas, Julio C. , Appleby, Brian S. , Domoto‐Reilly, Kimiko , Foroud, Tatiana , Grossman, Murray , Hsiung, Ging‐Yuek Robin , Kerwin, Diana , Litvan, Irene , Miller, Bruce L. , Roberson, Erik D. , Tartaglia, Maria Carmela , Boeve, Bradley F. , Investigators, ARTFL/LEFFTDS

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S4 | Pages: No page available

10.1002/alz.046247 Get It

AbstractBackgroundPlasma NfL is a sensitive marker of axonal injury that is elevated in symptomatic FTLD and asymptomatic carriers of FTLD‐associated genetic mutations at short‐term risk of phenoconversion to mild behavioral or cognitive impairment or dementia. In carriers of FTLD‐associated genetic mutations, NfL is associated with clinical measures of disease severity.MethodPlasma NfL was measured using single molecule array technology in baseline blood samples from 290 participants in the ARTFL/LEFFTDS consortia. Participants included 181 asymptomatic mutation carriers (C9orf72, GRN, and MAPT); 45 with mild impairment (MBI/MCI), and 64 with dementia. 103 family members without FTLD‐associated mutations served as asymptomatic controls. Social cognition scales were obtained through clinical evaluation at baseline, year 1, and year 2. Stepwise linear regressions assessed NfL relationships with baseline social cognition measures. Linear mixed models were used to test the ability of baseline NfL to predict longitudinal changes. Analyses corrected for age, sex, and genotype.ResultAt baseline, plasma NfL correlated with all measures of social cognition, regardless of genotype. Associations were strongest for the Revised Self‐monitoring Scale (RSMS;β = ‐.50, p < .001), total score of the Social Norms questionnaire (β= .48, p < .001), and caregiver burden (Zarit burden;β = .55, p < .001). Regardless of disease severity, baseline NfL related to worse RSMS scores over time (‐3.7 points at year 2/ LogNfL unit increase, 95% CI ‐1.7 to ‐5.7, p < .001). In MBI/MCI, higher baseline NfL was associated with worse longitudinal scores on the Social Norms questionnaire (‐5.9 points at year 2/LogNfL unit increase, 95% CI ‐1.1 to ‐10.7, p = .016). No associations were seen in asymptomatic non‐carriers.ConclusionIn this familial FTLD cohort, plasma NfL is correlated with clinical measures of social cognition and caregiver burden. Higher baseline plasma NfL concentrations are associated with worsening self‐monitoring and social norms scores over time. These associations suggest that NfL is correlated with clinically meaningful measures that may be relevant to therapeutic development.
Studying the natural history of frontotemporal lobar degeneration (FTLD): The ARTFL LEFFTDS longitudinal FTLD (ALLFTD) protocol
Boxer, Adam L. , Rosen, Howard J. , Forsberg, Leah K. , Heuer, Hilary W. , Brushaber, Danielle , Bordelon, Yvette , Dickerson, Brad C., Faber, Kelley , Fagan, Anne M. , Fields, Julie A. , Fishman, Ann, Galasko, Doug, Gavrilova, Ralitza H. , Geschwind, Daniel H. , Ghoshal, Nupur , Graff‐Radford, Jonathan, Graff‐Radford, Neill R. , Grant, Ian , Huey, Edward D. , Karydas, Anna M., Kaufer, Daniel , Kramer, Joel H. , Kornak, John , Lagone, Emma, Ljubenkov, Peter A. , Lucente, Diane , Mackenzie, Ian R. , Manoochehri, Masood , Masdeu, Joseph C. , McGinnis, Scott, Mendez, Mario F. , Miyagawa, Toji , Nelson, Kevin M., Onyike, Chiadi U. , Pantelyat, Alex, Pearlman, Rodney , Petrucelli, Leonard , Rademakers, Rosa , Ramos, Eliana Marisa , Rankin, Katherine P. , Rascovsky, Katya, Ritter, Aaron, Salmon, David P. , Savica, Rodolfo , Staffaroni, Adam M. , Syrjanen, Jeremy A. , Tatton, Nadine , Taylor, Joanne, Weıntraub, Sandra , Wheaton, Diana, Boeve, Bradley F. , Appleby, Brian S. , Biernacka, Joanna M. , Botha, Hugo , Brannelly, Patrick , Dickson, Dennis W. , Domoto‐Reilly, Kimiko , Foroud, Tatiana , Gendron, Tania F. , Goldman, Jill , Graff‐Radford, Jonathan , Grossman, Murray , Hsiung, Ging‐Yuek Robin , Huang, Eric J. , Irwin, David J. , Jones, David T. , Kantarci, Kejal , Knopman, David S. , Kremers, Walter K. , Kukull, Walter A. , Léger, Gabriel C. , Litvan, Irene , Masdeu, Joseph C , Miller, Bruce L. , Pascual, Belén , Rexach, Jessica E. , Roberson, Erik D. , Rojas, Julio C. , Sabbagh, Marwan Noel , Seeley, William W. , Tartaglia, Maria Carmela , Toga, Arthur W. , Wong, Bonnie , Wszołek, Zbigniew K.

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

10.1002/alz.045482 Get It

AbstractBackgroundIt is important to determine the natural history of sporadic and familial frontotemporal lobar degeneration (FTLD) and generate clinical, neuropsychological, neuroimaging and biofluid data for planning disease‐modifying trials.MethodAs part of the ARTFL LEFFTDS Longitudinal Frontotemporal Lobar Degeneration (ALLFTD; U19 AG063911) protocol, investigators at 19 centers in North America will enroll 2100 participants with FTLD over the next 5 years beginning in early 2020.ResultAs of 1/20/20, the ARTFL/LEFFTDS (A/L) Consortium had enrolled 1832 participants, including 850 in kindreds with familial FTLD (239 associated with mutations in MAPT, 192 in GRN, 370 in C9orf72, 4 with mutations in both GRN and C9orf72, and 45 with a mutation in a different gene or no mutation in any known FTLD‐associated gene). Over 500 participants have undergone 2 or more annual visits to date. MRI has been performed in 1105. Biofluid samples have also been collected, with blood (DNA, plasma, serum, mRNA, PBMC) in 1413 and CSF in 303. Over 60 manuscripts using A/L data or samples have been published to date. Five clinical trials involving A/L and ALLFTD participants are in progress or planned. The longitudinal arm in ALLFTD will enroll 500 of existing A/L and 600 future participants for annual assessments with similar methodology to A/L. An additional 1000 FTLD patients will undergo focused one‐time clinical evaluations and biofluid collection.ConclusionThe data/samples from already‐enrolled and planned participants in ALLFTD and findings published to date underscore the utility of evaluating FTLD subjects. The absence of identifiable mutations in some with familial FTLD suggests that other genes are yet to be discovered. ALLFTD data will inform clinical trial design, and many participants will be eligible for future trials. The key data and samples in ALLFTD are available to interested investigators worldwide. Supported by: AG063911, AG045390, NS092089, AG016976, AG21886.
Brain volumetric deficits in MAPT mutation carriers: a multisite study
Chu, Stephanie A. , Flagan, Taru , Staffaroni, Adam M. , Jiskoot, Lize C. , Deng, Jersey, Sturm, Virginia E. , Yokoyama, Jennifer S. , Papma, Janne M. , Geschwind, Dan, Rosen, Howard J. , Boxer, Adam L. , Heuer, Hilary W. , Forsberg, Leah K. , Brushaber, Danielle , Coppola, Giovanni , Bordelon, Yvette , Faber, Kelley , Feldman, Howard , Fields, Julie A. , Gavrilova, Ralitza H. , Ghoshal, Nupur , Graff‐Radford, Neill R. , Hsiung, Ging‐Yuek Robin , Huey, Edward D. , Kantarci, Kejal , Kaufer, Daniel , Karydas, Anna M., Kornak, John , Kramer, Joel H. , Kukull, Walter A. , Mackenzie, Ian R. , Mendez, Mario F. , Miller, Bruce L. , Onyike, Chiadi U. , Pantelyat, Alexander , Rademakers, Rosa , Ramos, Eliana Marisa , Roberson, Erik D. , Tartaglia, Maria Carmela , Tatton, Nadine , Toga, Arthur W. , Vetor, Ashley, Weıntraub, Sandra , Wong, Bonnie , Lee, Suzee E. , Brushaber, Danielle E, Kantarci, Kejal , Knopman, David S. , Lee, Suzee E , Hsiung, Gink-Yuek , Roberson, Erik , Miller, Bruce L , Pantelyat, Alex , Tartaglia, Maria Carmela , Yokoyama, Jennifer , Feldman, Howard H , Jiskoot, Lize C , Spina, Salvatore , Zhang, Liwen , Seeley, William W. , Boeve, Bradley F. , Grossman, Murray , Dickerson, Bradford Clark , Fong, Jamie , Foroud, Tatiana , Irwin, David J. , Knopman, David S. , Lapid, Maria I. , Litvan, Irene , Wszołek, Zbigniew K. , Swieten, John C. van

Annals of Clinical and Translational Neurology | November 28, 2020 | Volume: 8 | Issue: 1 | Pages: 95-110

10.1002/acn3.51249 | PMID 33247623 Get It

AbstractObjectiveMAPT mutations typically cause behavioral variant frontotemporal dementia with or without parkinsonism. Previous studies have shown that symptomatic MAPT mutation carriers have frontotemporal atrophy, yet studies have shown mixed results as to whether presymptomatic carriers have low gray matter volumes. To elucidate whether presymptomatic carriers have lower structural brain volumes within regions atrophied during the symptomatic phase, we studied a large cohort of MAPT mutation carriers using a voxelwise approach.MethodsWe studied 22 symptomatic carriers (age 54.7 ± 9.1, 13 female) and 43 presymptomatic carriers (age 39.2 ± 10.4, 21 female). Symptomatic carriers’ clinical syndromes included: behavioral variant frontotemporal dementia (18), an amnestic dementia syndrome (2), Parkinson’s disease (1), and mild cognitive impairment (1). We performed voxel‐based morphometry on T1 images and assessed brain volumetrics by clinical subgroup, age, and mutation subtype.ResultsSymptomatic carriers showed gray matter atrophy in bilateral frontotemporal cortex, insula, and striatum, and white matter atrophy in bilateral corpus callosum and uncinate fasciculus. Approximately 20% of presymptomatic carriers had low gray matter volumes in bilateral hippocampus, amygdala, and lateral temporal cortex. Within these regions, low gray matter volumes emerged in a subset of presymptomatic carriers as early as their thirties. Low white matter volumes arose infrequently among presymptomatic carriers.InterpretationA subset of presymptomatic MAPT mutation carriers showed low volumes in mesial temporal lobe, the region ubiquitously atrophied in all symptomatic carriers. With each decade of age, an increasing percentage of presymptomatic carriers showed low mesial temporal volume, suggestive of early neurodegeneration.
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.

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

10.1001/jamaneurol.2020.3536 | PMID 33074286 Get It

Genome‐wide transcriptome analysis identifies novel dysregulated genes implicated in Alzheimer's pathology
Nudelman, Kelly , Allen, Mariet , Hodges, Angela , Kim, Sungeun , Risacher, Shannon L. , Apostolova, Liana G. , Lin, Kuang, Lunnon, Katie , Wang, Xue , Burgess, Jeremy D. , Ertekin‐Taner, Nilüfer , Petersen, Ronald C. , Wang, Lisu, Qi, Zhenhao, He, Aiqing, Neuhaus, Isaac , Patel, Vishal , Faber, Kelley , Lovestone, Simon , Simmons, Andrew , Weiner, Michael W. , Initiative, for the Alzheimer's Disease Neuroimaging, Nudelman, Kelly N , Nho, Kwangsik T. , Neuhaus, Isaac, Foroud, Tatiana , Saykin, Andrew J. , Initiative, for the Alzheimer's Disease Neuroimaging

Alzheimer's & Dementia | August 5, 2020 | Volume: 16 | Issue: 9 | Pages: 1213-1223

10.1002/alz.12092 | PMID 32755048 Get It

AbstractIntroductionAbnormal gene expression patterns may contribute to the onset and progression of late‐onset Alzheimer's disease (LOAD).MethodsWe performed transcriptome‐wide meta‐analysis (N = 1440) of blood‐based microarray gene expression profiles as well as neuroimaging and cerebrospinal fluid (CSF) endophenotype analysis.ResultsWe identified and replicated five genes (CREB5, CD46, TMBIM6, IRAK3, and RPAIN) as significantly dysregulated in LOAD. The most significantly altered gene, CREB5, was also associated with brain atrophy and increased amyloid beta (Aβ) accumulation, especially in the entorhinal cortex region. cis‐expression quantitative trait loci mapping analysis of CREB5 detected five significant associations (P < 5 × 10−8), where rs56388170 (most significant) was also significantly associated with global cortical Aβ deposition measured by [18F]Florbetapir positron emission tomography and CSF Aβ1‐42.DiscussionRNA from peripheral blood indicated a differential gene expression pattern in LOAD. Genes identified have been implicated in biological processes relevant to Alzheimer's disease. CREB, in particular, plays a key role in nervous system development, cell survival, plasticity, and learning and memory.