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Pathogenic variants in the Longitudinal Early‐onset Alzheimer's Disease Study cohort
Jackson, Trever, Rumbaugh, Malia, Eloyan, Ani , Abreu, Marco , Dage, Jeffrey L. , Snoddy, Casey, Faber, Kelley , Hammers, Dustin B. , Taurone, Alexander, Thangarajah, Maryanne, Aisen, Paul, Kramer, Joel H. , Kukull, Walter A. , Vemuri, Prashanthi , Day, Gregory S. , Duara, Ranjan , Graff‐Radford, Neill R. , 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 , Rabinovici, Gil D , Wingo, Thomas S , Dage, Jeffrey L , Nudelman, Kelly , Foroud, Tatiana , Hammers, Dustin B , Beckett, Laurel , Koeppe, Robert A. , Murray, Melissa E. , Toga, Arthur W. , Atri, Alireza , Duara, Ranjan , Honig, Lawrence S. , Jones, David T. , Masdeu, Joseph C , Musiek, Erik , Wolk, David A. , Dickerson, Bradford Clark

Alzheimer's & Dementia | October 7, 2023 | Volume: 19 | Issue: S9 | Pages: No page available

10.1002/alz.13482 | PMID 37801072 Get It

AbstractIntroductionOne goal of the Longitudinal Early‐onset Alzheimer's Disease Study (LEADS) is to investigate the genetic etiology of early onset (40–64 years) cognitive impairment. Toward this goal, LEADS participants are screened for known pathogenic variants.MethodsLEADS amyloid‐positive early‐onset Alzheimer's disease (EOAD) or negative early‐onset non‐AD (EOnonAD) cases were whole exome sequenced (N = 299). Pathogenic variant frequency in APP, PSEN1, PSEN2, GRN, MAPT, and C9ORF72 was assessed for EOAD and EOnonAD. Gene burden testing was performed in cases compared to similar‐age cognitively normal controls in the Parkinson's Progression Markers Initiative (PPMI) study.ResultsPreviously reported pathogenic variants in the six genes were identified in 1.35% of EOAD (3/223) and 6.58% of EOnonAD (5/76). No genes showed enrichment for carriers of rare functional variants in LEADS cases.DiscussionResults suggest that LEADS is enriched for novel genetic causative variants, as previously reported variants are not observed in most cases.Highlights Sequencing identified eight cognitively impaired pathogenic variant carriers. Pathogenic variants were identified in PSEN1, GRN, MAPT, and C9ORF72. Rare variants were not enriched in APP, PSEN1/2, GRN, and MAPT. The Longitudinal Early‐onset Alzheimer's Disease Study (LEADS) is a key resource for early‐onset Alzheimer's genetic research
Amyloid and tau‐PET in early‐onset AD: Baseline data from the Longitudinal Early‐onset Alzheimer's Disease Study (LEADS)
Cho, Hanna , Mundada, Nidhi S. , Apostolova, Liana G. , Carrillo, María C. , Shankar, Ranjani , Amuiri, Alinda, Zeltzer, Ehud , Windon, Charles , Soleimani‐Meigooni, David N. , Tanner, Jeremy A. , Lesman‐Segev, Orit H. , Aisen, Paul , Eloyan, Ani , Lee, Hye Sun , Hammers, Dustin B. , Kirby, Kala, Dage, Jeffrey L. , Fagan, Anne M. , Grinberg, Lea T. , Jack, Clifford R. , Kramer, Joel H. , Kukull, Walter A. , Vemuri, Prashanthi , Day, Gregory S. , Duara, Ranjan , Graff‐Radford, Neill R. , Masdeu, Joseph C. , Mendez, Mario F. , Onyike, Chiadi U. , Riddle, Meghan , Rogalskı, Emily , Salloway, Stephen , Sha, Sharon, Turner, Raymond Scott , Wingo, Thomas S. , Joie, Renaud La , Rabinovici, Gil D. , Jack, Clifford R , Vemuri, Prashanthi , Day, Gregory S , La Joie, Renaud , Grinberg, Lea , Rabinovici, Gil D , Windon, Charles , Wingo, Thomas S , Dage, Jeffrey L , Lawhn-Heath, Courtney A. , Hammers, Dustin B , Foroud, Tatiana , Murray, Melissa E. , Nudelman, Kelly , Toga, Arthur W. , Atri, Alireza , Duara, Ranjan , Honig, Lawrence S. , Jones, David T. , Masdeu, Joseph C , Musiek, Erik , Sha, Sharon J. , Wolk, David A. , Koeppe, Robert A. , Iaccarino, Leonardo , Dickerson, Bradford Clark

Alzheimer's & Dementia | September 10, 2023 | Volume: 19 | Issue: S9 | Pages: No page available

10.1002/alz.13453 | PMID 37690109 Get It

Abstract INTRODUCTION We aimed to describe baseline amyloid‐beta (Aβ) and tau‐positron emission tomograrphy (PET) from Longitudinal Early‐onset Alzheimer's Disease Study (LEADS), a prospective multi‐site observational study of sporadic early‐onset Alzheimer's disease (EOAD). METHODS We analyzed baseline [18F]Florbetaben (Aβ) and [18F]Flortaucipir (tau)‐PET from cognitively impaired participants with a clinical diagnosis of mild cognitive impairment (MCI) or AD dementia aged < 65 years. Florbetaben scans were used to distinguish cognitively impaired participants with EOAD (Aβ+) from EOnonAD (Aβ−) based on the combination of visual read by expert reader and image quantification. RESULTS 243/321 (75.7%) of participants were assigned to the EOAD group based on amyloid‐PET; 231 (95.1%) of them were tau‐PET positive (A+T+). Tau‐PET signal was elevated across cortical regions with a parietal‐predominant pattern, and higher burden was observed in younger and female EOAD participants. DISCUSSION LEADS data emphasizes the importance of biomarkers to enhance diagnostic accuracy in EOAD. The advanced tau‐PET binding at baseline might have implications for therapeutic strategies in patients with EOAD. HIGHLIGHTS 72% of patients with clinical EOAD were positive on both amyloid‐ and tau‐PET. Amyloid‐positive patients with EOAD had high tau‐PET signal across cortical regions. In EOAD, tau‐PET mediated the relationship between amyloid‐PET and MMSE. Among EOAD patients, younger onset and female sex were associated with higher tau‐PET.
Influence of amyloid and diagnostic syndrome on non‐traditional memory scores in early‐onset Alzheimer's disease
Bushnell, Justin, Hammers, Dustin B. , Aisen, Paul , Dage, Jeffrey L. , Eloyan, Ani , 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. , Duara, Ranjan , Graff‐Radford, Neill R. , Masdeu, Joseph C. , Mendez, Mario F. , Onyike, Chiadi U. , Riddle, Meghan , Rogalskı, Emily , Salloway, Steven, Sha, Sharon, Turner, Raymond Scott , Wingo, Thomas S. , Carrillo, María C. , Rabinovici, Gil D. , Apostolova, Liana G. , Clark, David , Vemuri, Prashanthi , Day, Gregory S , La Joie, Renaud , Grinberg, Lea , Rabinovici, Gil D , Wingo, Thomas S , Dage, Jeffrey L , Hammers, Dustin B , Foroud, Tatiana , Iaccarino, Leonardo , Jack, Clifford R. , Koeppe, Robert A. , Murray, Melissa E. , Nudelman, Kelly , Toga, Arthur W. , Atri, Alireza , Duara, Ranjan , Honig, Lawrence S. , Jones, David T. , Masdeu, Joseph C , Musiek, Erik , Salloway, Steve , Sha, Sharon J. , Wolk, David A. , Dickerson, Bradford Clark

Alzheimer's & Dementia | September 1, 2023 | Volume: 19 | Issue: S9 | Pages: No page available

10.1002/alz.13434 | PMID 37653686 Get It

AbstractINTRODUCTIONThe Rey Auditory Verbal Learning Test (RAVLT) is a useful neuropsychological test for describing episodic memory impairment in dementia. However, there is limited research on its utility in early‐onset Alzheimer's disease (EOAD). We assess the influence of amyloid and diagnostic syndrome on several memory scores in EOAD.METHODSWe transcribed RAVLT recordings from 303 subjects in the Longitudinal Early‐Onset Alzheimer's Disease Study. Subjects were grouped by amyloid status and syndrome. Primacy, recency, J‐curve, duration, stopping time, and speed score were calculated and entered into linear mixed effects models as dependent variables.RESULTSCompared with amyloid negative subjects, positive subjects exhibited effects on raw score, primacy, recency, and stopping time. Inter‐syndromic differences were noted with raw score, primacy, recency, J‐curve, and stopping time.DISCUSSIONRAVLT measures are sensitive to the effects of amyloid and syndrome in EOAD. Future work is needed to quantify the predictive value of these scores.Highlights RAVLT patterns characterize various presentations of EOAD and EOnonAD Amyloid impacts raw score, primacy, recency, and stopping time Timing‐based scores add value over traditional count‐based scores
Sex and APOE ε4 carrier effects on atrophy, amyloid PET, and tau PET burden in early‐onset Alzheimer's disease
Nemes, Sára , Logan, Paige E. , Manchella, Mohit K. , Mundada, Nidhi S. , Joie, Renaud La , Polsinelli, Angelina J. , Hammers, Dustin B. , Foroud, Tatiana M., Eloyan, Ani , Dorsant‐Ardón, Valérie , Taurone, Alexander, Thangarajah, Maryanne, Dage, Jeffrey L. , Aisen, Paul , Grinberg, Lea T. , Kramer, Joel H. , Kukull, Walter A. , Rumbaugh, Malia, Soleimani‐Meigooni, David N. , Touroutoglou, Alexandra , Vemuri, Prashanthi , Day, Gregory S. , Duara, Ranjan , Graff‐Radford, Neill R. , Masdeu, Joseph C. , Mendez, Mario F. , Onyike, Chiadi U. , Riddle, Meghan , Rogalskı, Emily , Salloway, Stephen , Sha, Sharon J. , Turner, Raymond Scott , Wingo, Thomas S. , Rabinovici, Gil D. , Carrillo, María C. , 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 , Koeppe, Robert A. , Nudelman, Kelly , Iaccarino, Leonardo , Jack, Clifford R. , Murray, Melissa E. , Toga, Arthur W. , Atri, Alireza , Duara, Ranjan , Honig, Lawrence S. , Jones, David T. , Masdeu, Joseph C , Musiek, Erik , Womack, Kyle , Wolk, David A. , Dickerson, Bradford Clark

Alzheimer's & Dementia | July 27, 2023 | Volume: 19 | Issue: S9 | Pages: No page available

10.1002/alz.13403 | PMID 37496307 Get It

AbstractINTRODUCTIONWe used sex and apolipoprotein E ε4 (APOE ε4) carrier status as predictors of pathologic burden in early‐onset Alzheimer's disease (EOAD).METHODSWe included baseline data from 77 cognitively normal (CN), 230 EOAD, and 70 EO non‐Alzheimer's disease (EOnonAD) participants from the Longitudinal Early‐Onset Alzheimer's Disease Study (LEADS). We stratified each diagnostic group by males and females, then further subdivided each sex by APOE ε4 carrier status and compared imaging biomarkers in each stratification. Voxel‐wise multiple linear regressions yielded statistical brain maps of gray matter density, amyloid, and tau PET burden.RESULTSEOAD females had greater amyloid and tau PET burdens than males. EOAD female APOE ε4 non‐carriers had greater amyloid PET burdens and greater gray matter atrophy than female ε4 carriers. EOnonAD female ε4 non‐carriers also had greater gray matter atrophy than female ε4 carriers.DISCUSSIONThe effects of sex and APOE ε4 must be considered when studying these populations.HIGHLIGHTS Novel analysis examining the effects of biological sex and apolipoprotein E ε4 (APOE ε4) carrier status on neuroimaging biomarkers among early‐onset Alzheimer's disease (EOAD), early‐onset non‐AD (EOnonAD), and cognitively normal (CN) participants. Female sex is associated with greater pathology burden in the EOAD cohort compared to male sex. The effect of APOE ε4 carrier status on pathology burden was the most impactful in females across all cohorts.
White matter hyperintensities are higher among early‐onset Alzheimer's disease participants than their cognitively normal and early‐onset nonAD peers: Longitudinal Early‐onset Alzheimer's Disease Study (LEADS)
Eloyan, Ani , Thangarajah, Maryanne, An, Na , Borowski, Bret, Reddy, Ashritha L., Aisen, Paul , Dage, Jeffrey L. , Ghetti, Bernardino , Griffin, Percy , Hammers, Dustin B. , Kirby, Kala, Kramer, Joel H. , Kukull, Walter A. , Joie, Renaud La , Mundada, Nidhi S. , Rumbaugh, Malia, Soleimani‐Meigooni, David N. , Touroutoglou, Alexandra , Day, Gregory S. , Duara, Ranjan , Graff‐Radford, Neill R. , Masdeu, Joseph C. , Mendez, Mario F. , Onyike, Chiadi U. , Rogalskı, Emily , Salloway, Stephen , Sha, Sharon, Turner, Raymond Scott , Wingo, Thomas S. , Gao, Sujuan , Carrillo, María C. , Rabinovici, Gil D. , Apostolova, Liana G. , Dickerson, Brad C., Vemuri, Prashanthi , Borowski, Bret J, Vemuri, Prashanthi , Day, Gregory S , La Joie, Renaud , Rabinovici, Gil D , Ghetti, Bernardino F , Wingo, Thomas S , Dage, Jeffrey L , An, Na, Reddy, Ashritha L., Foroud, Tatiana , Hammers, Dustin B , Iaccarino, Leonardo , Jack, Clifford R. , Kirby, Kala, Koeppe, Robert A. , Murray, Melissa E. , Nudelman, Kelly , Toga, Arthur W. , Atri, Alireza , Duara, Ranjan , Honig, Lawrence S. , Jones, David T. , Masdeu, Joseph C , Musiek, Erik , Sha, Sharon J. , Wolk, David A. , Womack, Kyle , Beckett, Laurel

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

10.1002/alz.13402 | PMID 37491599 Get It

Abstract INTRODUCTION We compared white matter hyperintensities (WMHs) in early‐onset Alzheimer's disease (EOAD) with cognitively normal (CN) and early‐onset amyloid‐negative cognitively impaired (EOnonAD) groups in the Longitudinal Early‐Onset Alzheimer's Disease Study. METHODS We investigated the role of increased WMH in cognition and amyloid and tau burden. We compared WMH burden of 205 EOAD, 68 EOnonAD, and 89 CN participants in lobar regions using t ‐tests and analyses of covariance. Linear regression analyses were used to investigate the association between WMH and cognitive impairment and that between amyloid and tau burden. RESULTS EOAD showed greater WMHs compared with CN and EOnonAD participants across all regions with no significant differences between CN and EOnonAD groups. Greater WMHs were associated with worse cognition. Tau burden was positively associated with WMH burden in the EOAD group. DISCUSSION EOAD consistently showed higher WMH volumes. Overall, greater WMHs were associated with worse cognition and higher tau burden in EOAD. Highlights This study represents a comprehensive characterization of WMHs in sporadic EOAD. WMH volumes are associated with tau burden from positron emission tomography (PET) in EOAD, suggesting WMHs are correlated with increasing burden of AD. Greater WMH volumes are associated with worse performance on global cognitive tests. EOAD participants have higher WMH volumes compared with CN and early‐onset amyloid‐negative cognitively impaired (EOnonAD) groups across all brain regions.
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.
Longitudinal motor decline in dementia with Lewy bodies, Parkinson disease dementia, and Alzheimer's dementia in a community autopsy cohort
Choudhury, Parichita , Belden, Christine M. , Driver‐Dunckley, Erika, Mehta, Shyamal H. , Shill, Holly A. , Beach, Thomas G. , Driver-Dunckley, Erika, Choudhury, Parichita , Zhang, Nan , Adler, Charles H. , Chen, Kewei , Driver‐Dunckley, Erika , Shprecher, David , Serrano, Geidy E. , Atri, Alireza

Alzheimer's & Dementia | July 8, 2023 | Volume: 19 | Issue: 10 | Pages: 4377-4387

10.1002/alz.13357 | PMID 37422286 Get It

Abstract INTRODUCTION We examined the progression of extrapyramidal symptoms and signs in autopsy‐confirmed dementia with Lewy bodies (DLB), Parkinson's disease dementia (PDD), and Alzheimer's disease dementia (AD). METHODS Longitudinal data were obtained from Arizona Study of Aging and Neurodegenerative Disease, with PDD ( n = 98), AD ( n = 47) and DLB ( n = 48) further sub‐grouped as with or without parkinsonism (DLB+ and DLB−). Within‐group Unified Parkinson's Disease Rating Scale (UPDRS) ‐II and UPDRS‐III trajectories were analyzed using non‐linear mixed effects models. RESULTS In DLB, 65.6% had parkinsonism. Baseline UPDRS‐II and III scores (off‐stage) were highest ( P < 0.001) for PDD (mean ± SD 14.3 ± 7.8 and 27.4 ± 16.3), followed by DLB+ (6.0 ± 8.8 and 17.2 ± 17.1), DLB− (1.1 ± 1.3 and 3.3 ± 5.5) and AD (3.2 ± 6.1 and 8.2 ± 13.6). Compared to PDD, the DLB+ group had faster UPDRS‐III progression over 8‐years (Cohen's‐ d range 0.98 to 2.79, P < 0.001), driven by gait ( P < 0.001) and limb bradykinesia ( P = 0.02) subscales. DISCUSSION Motor deficits progress faster in DLB+ than PDD, providing insights about expected changes in motor function. Highlights Dementia with Lewy bodies has faster motor progression than Parkinson's disease dementia Linear and non‐linear mixed modeling analysis of longitudinal data was utilized Findings have implications for clinical prognostication and trial design
Progression of white matter signal abnormalities in predementia frontotemporal dementia mutation carriers
Lee, Hyunwoo , Chatterjee, Atri , Popuri, Karteek , Mackenzie, Ian R. , Rosen, Howard J. , Boxer, Adam L. , Gibson, Erin, Beg, Mirza Faisal , Kantarci, Kejal , Boeve, Bradley F. , Tartaglia, Maria Carmela , Hsiung, Ging‐Yuek Robin

Alzheimer's & Dementia | June 16, 2023 | Volume: 19 | Issue: S3 | Pages: No page available

10.1002/alz.068038 Get It

AbstractBackgroundWhite matter signal abnormalities (WMSA) are frequently observed on magnetic resonance imaging (MRI) scans of people with frontotemporal dementia (FTD). We hypothesized that carriers of mutations in progranulin (GRN+), chromosome 9 open reading frame 72 (C9orf72+) and microtubule associated protein tau (MAPT+) have increased rates of progression of WMSA compared to non‐carrier individuals prior to onset of dementia, and that different mutations may have different rates of WMSA accumulation.MethodParticipants were recruited through the ARTFL‐LEFFTDS Longitudinal Frontotemporal Lobar Degeneration (ALLFTD) Study. We selected participants with Clinical Dementia Rating scale (CDR) scores of 0 and 0.5. If a participant developed FTD during the follow‐up, we only analyzed observations collected before the conversion. WMSA were defined as hyperintensities on FLAIR MRI. Total WMSA volumes were normalized to the respective intracranial volumes. We used a linear mixed effects model, with random intercepts and slopes, to compare the baseline burden and the longitudinal progression of total WMSA volumes between mutation carriers and controls. The model was adjusted for baseline age, sex, education, baseline Montreal Cognitive Assessment (MoCA) scores, and MRI acquisition sites.ResultWe analyzed MRI data from 199 participants who had at least two MRI visits (46 C9orf72+, 17 GRN+, 35 MAPT+, 101 non‐carrier controls; up to five years of follow‐up). We did not find significant group differences in baseline demographic features, except that MAPT+ was younger than non‐carrier controls (average age: C9orf72+ = 47, GRN+ = 56, MAPT+ = 40, controls = 47). Baseline WMSA volumes were not significantly different between mutation carriers and controls. Longitudinally, the rates of WMSA volume increase in C9orf72+ and MAPT+ were comparable to controls; whereas, GRN+ had higher rates of WMSA volume increases compared to controls (p = 0.01).ConclusionWMSA may accumulate at higher rates in GRN+ prior to the onset of FTD, which is consistent with the frequent presence of white matter diseases observed in symptomatic FTD patients with GRN mutations. Future work is warranted to investigate the association between white matter structural changes and cognitive/psychiatric changes in FTD mutation carriers.
Neuropsychiatric symptom progression in predementia frontotemporal dementia mutation carriers
Lee, Hyunwoo , Chatterjee, Atri , Mackenzie, Ian R. , Huey, Edward D. , Wittenberg, Dana, Rosen, Howard J. , Boxer, Adam L. , Rankin, Katherine P. , Lapid, Maria I. , Boeve, Bradley F. , Hsiung, Ging‐Yuek Robin

Alzheimer's & Dementia | June 16, 2023 | Volume: 19 | Issue: S4 | Pages: No page available

10.1002/alz.068081 Get It

AbstractBackgroundNeuropsychiatric symptoms (NPS) often occur during the prodromal stage of frontotemporal dementia (FTD), as evidenced by the presence of early psychiatric diagnosis in approximately 50% of bvFTD patients prior to their dementia diagnosis. We hypothesized that carriers of mutations in progranulin (GRN+), chromosome 9 open reading frame 72 (C9orf72+) and microtubule associated protein tau (MAPT+) have increased baseline burden and rates of progression of NPS compared to non‐carrier individuals prior to onset of dementia symptoms based on the Clinical Dementia Rating (CDR) scale.MethodParticipants were recruited through the ARTFL‐LEFFTDS Longitudinal Frontotemporal Lobar Degeneration (ALLFTD) Study. NPS were assessed with Neuropsychiatric Inventory‐Questionnaire (NPI‐Q), Geriatric Depression Scale (GDS), Interpersonal Reactivity Index (IRI), Social Behaviour Checklist (SBOCL), and Behavioral Inhibition Scale (BIS) annually for up to five years. We selected participants with CDR scores of 0 and 0.5. If a participant’s CDR changed to above 0.5 during the follow‐up, we only analyzed observations collected before the conversion. We used mixed effects models to compare the baseline burden and the longitudinal progression of NPS measures between carriers and controls, adjusted for baseline age, sex, education, and baseline Montreal Cognitive Assessment (MoCA) scores.ResultWe analyzed data from 607 participants (111 C9orf72+, 47 GRN+, 67 MAPT+ and 382 non‐carrier controls). There were no significant group differences in baseline demographic features, except that MAPT+ was significantly younger than other groups (average age: C9orf72+ = 45, GRN+ = 53, MAPT+ = 41, controls = 54). Baseline NPS scores were not significantly different between carriers and controls, except that C9orf72+ had significantly lower GDS compared to controls (p = 0.002). Longitudinally, GRN+ (p = 0.02) and MAPT+ (p = 0.009) had significantly higher rates of NPI‐Q increases compared to controls, while the progression of NPI‐Q in C9orf72+ was comparable to controls. The rates of GDS, IRI, SBOCL and BIS progression were not significantly different between carriers and controls.ConclusionPrior to the onset of dementia, GRN+ and MAPT+ have a faster progression of NPS, as measured by NPI‐Q, compared to controls. Future work will investigate whether different mutation carriers are affected by specific type/cluster of symptoms.
Baseline neuropsychiatric symptoms and psychotropic medication use midway through data collection of the Longitudinal Early‐Onset Alzheimer's Disease Study (LEADS) cohort
Polsinelli, Angelina J. , Wonderlin, Ryan J., Hammers, Dustin B. , Garcia, Alex Pena, Eloyan, Ani , Taurone, Alexander, Thangarajah, Maryanne, Gao, Sujuan , Kirby, Kala, Logan, Paige E. , Aisen, Paul , Dage, Jeffrey L. , Griffin, Percy , Kramer, Joel H. , Kukull, Walter A. , Joie, Renaud La , Mundada, Nidhi S. , Soleimani‐Meigooni, David N. , Rumbaugh, Malia, Touroutoglou, Alexandra , Vemuri, Prashanthi , Day, Gregory S. , Duara, Ranjan , Graff‐Radford, Neill R. , Masdeu, Joseph C. , Mendez, Mario F. , Onyike, Chiadi U. , Riddle, Meghan , Rogalskı, Emily , Salloway, Steven, 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 , Rabinovici, Gil D , Wingo, Thomas S , Dage, Jeffrey L , Hammers, Dustin B , Beckett, Laurel , Wang, Sophia , Kirby, Kala, Foroud, Tatiana , Iaccarino, Leonardo , Koeppe, Robert A. , Murray, Melissa E. , Nudelman, Kelly , Toga, Arthur W. , Atri, Alireza , Duara, Ranjan , Honig, Lawrence S. , Jones, David T. , Masdeu, Joseph C , Womack, Kyle , Musiek, Erik , Salloway, Steve , Wolk, David A. , Dickerson, Bradford Clark

Alzheimer's & Dementia | June 9, 2023 | Volume: 19 | Issue: S9 | Pages: No page available

10.1002/alz.13344 | PMID 37296082 Get It

AbstractIntroductionWe 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).MethodsBaseline 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).ResultsAffective 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.DiscussionOverall 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.