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Logan PE, Nemes S, Iaccarino L, Mundada NS, La Joie R, Aisen P, Dage JL, Eloyan A, Fagan AM, Foroud TM, Gatsonis C, Hammers DB, Jack CR, Kramer JH, Koeppe R, Saykin AJ, Toga AW, Vemuri P, Atri A, Day GS, Duara R, Graff‐Radford NR, Honig LS, Jones DT, Masdeu JC, Mendez MF, Onyike CU, Rogalski EJ, Sha S, Turner RW, Womack KB, Carrillo MC, Rabinovici GD, Dickerson BC, Apostolova LG. Sex and
APOE‐
ε
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carrier effects on early‐onset Alzheimer’s disease pathology. Alzheimers Dement 2022. [DOI: 10.1002/alz.068743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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LaPoint MR, Baker SL, Landau SM, La Joie R, Rabinovici GD, Jagust WJ. PIB‐PET perfusion and FDG‐PET are highly correlated and similarly associated with cognitive performance. Alzheimers Dement 2022. [DOI: 10.1002/alz.066427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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LaPoint MR, Baker SL, Landau SM, La Joie R, Rabinovici GD, Jagust WJ. PIB‐PET perfusion and FDG‐PET are highly correlated and similarly associated with cognitive performance. Alzheimers Dement 2022. [DOI: 10.1002/alz.066445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Rabin JS, Nichols E, La Joie R, Casaletto KB, Palta P, Dams‐O'Connor K, Kumar RG, George KM, Satizabal CL, Schneider JA, Pa J, Brickman AM. Cerebral amyloid angiopathy interacts with parenchymal beta‐amyloid to promote tau and cognitive decline. Alzheimers Dement 2022. [DOI: 10.1002/alz.066555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Mundada NS, Thijssen EH, Iaccarino L, Okoye OC, Shankar R, Soleimani‐Meigooni DN, VandeVrede L, Lago AL, Miller BL, Teunissen CE, Rojas JC, Dage JL, Rabinovici GD, Boxer AL, La Joie R. Head‐to‐head comparison between plasma ptau‐217 and Flortaucipir‐PET in amyloid‐positive patients with cognitive impairment. Alzheimers Dement 2022. [DOI: 10.1002/alz.064837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Baker SL, He M, Dominguez PA, Landau SM, Harrison TM, La Joie R, Ward TJ, Zhuang K, Rabinovici GD, Jagust WJ. Impact of off‐target signal on longitudinal FTP quantification. Alzheimers Dement 2022. [DOI: 10.1002/alz.061262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Horiki S, VandeVrede L, La Joie R, Ljubenkov PA, Koestler M, Rojas JC, Rabinovici GD, Boxer AL, Seeley WW. Autopsy Results from the ENGAGE Trial of Aducanumab: Lessons from Co‐pathology. Alzheimers Dement 2022. [DOI: 10.1002/alz.068280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Windon C, Iaccarino L, Mundada NS, Apostolova LG, Carrillo MC, Dickerson BC, Grant HE, Miller BL, Shankar R, Soleimani‐Meigooni DN, Joie RL, Rabinovici GD. Amyloid Negative, Highly Tau Positive: Clinical Characterization of a Rare Biomarker Profile. Alzheimers Dement 2022. [DOI: 10.1002/alz.067381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Zeltzer E, Mundada NS, La Joie R, Apgar C, Gatsonis C, Carrillo MC, Hanna L, Hillner BE, Koeppe R, March A, Siegel BA, Smith K, Whitmer RA, Windon C, Iaccarino L, Rabinovici GD. Quantitative analysis of 6,150 real‐world amyloid Positron Emission Tomography (PET) scans from the Imaging Dementia–Evidence for Amyloid Scanning (IDEAS) study. Alzheimers Dement 2022. [DOI: 10.1002/alz.066217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Leuzy A, Mattsson‐Carlgren N, Cullen N, Stomrud E, Palmqvist S, La Joie R, Iaccarino L, Zetterberg H, Rabinovici GD, Blennow K, Janelidze S, Hansson O. Robustness of CSF Aβ42/40 and Aβ42/P‐tau181 to detect AD related outcomes using fully automated immunoassays. Alzheimers Dement 2022. [DOI: 10.1002/alz.063107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Buto P, Swinnerton KN, La Joie R, Zimmerman SC, Glymour MM, Ackley SF, Brenowitz WD. Genetic Risk Score for Alzheimer’s Disease Predicts Brain Volume Differences in Mid‐ and Late‐life in UK Biobank Participants. Alzheimers Dement 2022. [DOI: 10.1002/alz.066409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Chapleau M, La Joie R, Mundada NS, Fumagalli GG, Formaglio M, Grinberg LT, Hromas G, Kasuga K, Lacombe‐Thibault M, Levin N, Lladó A, Miklitz C, Perani D, Rodriguez‐Porcel F, Seeley WW, Spina S, Tousi B, Vandenberghe R, Walker JM, Wu L, Yong KXX, Pelak VS, Ossenkoppele R, Rabinovici GD. Biomarkers and neuropathology in posterior cortical atrophy: an international, multi‐site study. Alzheimers Dement 2022. [DOI: 10.1002/alz.064818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Friedberg A, Pasquini L, Diggs RT, Glaubitz EA, Lopez L, Brown JA, Rankin KP, Allen IE, La Joie R, Iaccarino L, Mundada NS, Illán‐Gala I, Bonham LW, Yokoyama JS, Miller ZA, Rabinovici GD, Kramer JH, Rosen HJ, Tempini MLG, Seeley WW, Miller BL. Emergence of visual artistic creativity in frontotemporal dementia. Alzheimers Dement 2022; 18 Suppl 9:e065202. [DOI: 10.1002/alz.065202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Malpetti M, Iaccarino L, Tanner JA, Mundada NS, Cobigo Y, Arora A, Pontecorvo MJ, La Joie R, Rabinovici GD. Regional tau PET patterns predict prospective domain‐specific cognitive decline in Alzheimer’s Disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.066224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Casaletto KB, Nichols E, Aslanyan V, Simone SM, Rabin JS, La Joie R, Brickman AM, Dams-O’Connor K, Palta P, Kumar RG, George KM, Satizabal CL, Schneider J, Pa J. Sex-specific effects of microglial activation on Alzheimer's disease proteinopathy in older adults. Brain 2022; 145:3536-3545. [PMID: 35869598 PMCID: PMC10233295 DOI: 10.1093/brain/awac257] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 04/20/2022] [Accepted: 06/22/2022] [Indexed: 02/03/2023] Open
Abstract
Females show a disproportionate burden of Alzheimer's disease pathology and higher Alzheimer's disease dementia prevalences compared to males, yet the mechanisms driving these vulnerabilities are unknown. There is sexual dimorphism in immunological functioning, and neuroimmune processes are implicated in Alzheimer's disease genesis. Using neuropathology indicators from human brain tissue, we examined the mediational role of microglial activation on the relationship between amyloid and tau and how it differs by sex. 187 decedents (64% female; 89 mean age at death; 62% non-demented) from the Rush Memory and Aging Project completed neuropathological evaluations with brain tissue quantified for microglial activation, amyloid-β and tau. Proportion of morphologically activated microglia was determined via immunohistochemistry (HLA-DP-DQ-DR) and morphological staging (stage I, II or III). Amyloid-β and tau burden were quantified via immunohistochemistry (M00872 or AT8, respectively). Using causal counterfactual modelling, we estimated the mediational effect of microglial activation on the amyloid-β to tau relationship in the whole sample and stratified by sex (amyloid-β → microglial activation → tau). Alternative models tested the role of microglia activation as the precipitating event (microglial activation → amyloid-β → tau). Microglial activation significantly mediated 33% [95% confidence interval (CI) 10-67] of the relationship between amyloid-β and tau in the whole sample; stratified analyses suggested this effect was stronger and only statistically significant in females. 57% (95% CI 22-100) of the effect of amyloid-β on tau was mediated through microglial activation in females, compared to 19% (95% CI 0-64) in males. Regional analyses suggested that mediational effects were driven by greater cortical versus subcortical microglial activation. Relationships were independent of cerebrovascular disease indices. Alternative models suggested that in females, microglial activation was a significant exposure both preceding the amyloid-β to tau relationship (mediational effect: 50%, 95% CI 23-90) and directly related to tau burden (microglia direct effect: 50%, 95% CI 10-77). By contrast, in males, only the direct effect of microglial activation to tau reached significance (74%, 95% CI 32-100) (mediational effect: 26%, 95% CI 0-68). Our models suggest a reciprocal, bidirectional relationship between amyloid-β and microglial activation that significantly accounts for tau burden in females. By contrast, in males, direct independent (non-mediational) relationships between microglial activation or amyloid-β with tau were observed. Microglial activation may be disproportionately important for Alzheimer's disease pathogenesis in females. Determining sex-specific vulnerabilities to Alzheimer's disease development both inform fundamental pathophysiology and support precision health approaches for this heterogeneous disease.
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Stiver J, Staffaroni AM, Walters SM, You MY, Casaletto KB, Erlhoff SJ, Possin KL, Lukic S, La Joie R, Rabinovici GD, Zimmerman ME, Gorno-Tempini ML, Kramer JH. The Rapid Naming Test: Development and initial validation in typically aging adults. Clin Neuropsychol 2022; 36:1822-1843. [PMID: 33771087 PMCID: PMC8464629 DOI: 10.1080/13854046.2021.1900399] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Accepted: 03/04/2021] [Indexed: 01/27/2023]
Abstract
ObjectiveProgressive word-finding difficulty is a primary cognitive complaint among healthy older adults and a symptom of pathological aging. Classic measures of visual confrontation naming, however, show ceiling effects among healthy older adults. To address the need for a naming test that is sensitive to subtle, age-related word-finding decline, we developed the Rapid Naming Test (RNT), a computerized, one-minute, speeded visual naming test.MethodFunctionally intact older (n = 145) and younger (n = 69) adults completed the RNT. Subsets of older adults also completed neuropsychological tests, a self-report scale of functional decline, amyloid-β PET imaging, and repeat RNT administration to determine test-retest reliability.ResultsRNT scores were normally distributed and exhibited good test-retest reliability. Younger adults performed better than older adults. Within older adults, lower scores were associated with older age. Higher scores correlated with measures of language, processing speed, and episodic learning and memory. Scores were not correlated with visuospatial or working memory tests. Worse performance was related to subjective language decline, even after controlling for a classic naming test and speed. The RNT was also negatively associated with amyloid-β burden.ConclusionsThe RNT appears to be a reliable test that is sensitive to subtle, age-related word-finding decline. Convergent and divergent validity are supported by its specific associations with measures relying on visual naming processes. Ecological validity is supported by its relationship with subjective real-world language difficulties. Lastly, worse performance was related to amyloid-β deposition, an Alzheimer's disease biomarker. This study represents a key step toward validating a novel, sensitive naming test in typically aging adults.
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Asken BM, Tanner JA, VandeVrede L, Casaletto KB, Staffaroni AM, Mundada N, Fonseca C, Iaccarino L, La Joie R, Tsuei T, Mladinov M, Grant H, Shankar R, Wang KKW, Xu H, Cobigo Y, Rosen H, Gardner RC, Perry DC, Miller BL, Spina S, Seeley WW, Kramer JH, Grinberg LT, Rabinovici GD. Multi-Modal Biomarkers of Repetitive Head Impacts and Traumatic Encephalopathy Syndrome: A Clinicopathological Case Series. J Neurotrauma 2022; 39:1195-1213. [PMID: 35481808 PMCID: PMC9422800 DOI: 10.1089/neu.2022.0060] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Traumatic encephalopathy syndrome (TES) criteria were developed to aid diagnosis of chronic traumatic encephalopathy (CTE) pathology during life. Interpreting clinical and biomarker findings in patients with TES during life necessitates autopsy-based determination of the neuropathological profile. We report a clinicopathological series of nine patients with previous repetitive head impacts (RHI) classified retrospectively using the recent TES research framework (100% male and white/Caucasian, age at death 49-84) who completed antemortem neuropsychological evaluations, T1-weighted magnetic resonance imaging, diffusion tensor imaging (n = 6), (18)F-fluorodeoxyglucose-positron emission tomography (n = 5), and plasma measurement of neurofilament light (NfL), glial fibrillary acidic protein (GFAP), and total tau (n = 8). Autopsies were performed on all patients. Cognitively, low test scores and longitudinal decline were relatively consistent for memory and executive function. Medial temporal lobe atrophy was observed in all nine patients. Poor white matter integrity was consistently found in the fornix. Glucose hypometabolism was most common in the medial temporal lobe and thalamus. Most patients had elevated plasma GFAP, NfL, and total tau at their initial visit and a subset showed longitudinally increasing concentrations. Neuropathologically, five of the nine patients had CTE pathology (n = 4 "High CTE"/McKee Stage III-IV, n = 1 "Low CTE"/McKee Stage I). Primary neuropathological diagnoses (i.e., the disease considered most responsible for observed symptoms) were frontotemporal lobar degeneration (n = 2 FTLD-TDP, n = 1 FTLD-tau), Alzheimer disease (n = 3), CTE (n = 2), and primary age-related tauopathy (n = 1). In addition, hippocampal sclerosis was a common neuropathological comorbidity (n = 5) and associated with limbic-predominant TDP-43 proteinopathy (n = 4) or FTLD-TDP (n = 1). Memory and executive function decline, limbic system brain changes (atrophy, decreased white matter integrity, hypometabolism), and plasma biomarker alterations are common in RHI and TES but may reflect multiple neuropathologies. In particular, the neuropathological differential for patients with RHI or TES presenting with medial temporal atrophy and memory loss should include limbic TDP-43. Researchers and clinicians should be cautious in attributing cognitive, neuroimaging, or other biomarker changes solely to CTE tau pathology based on previous RHI or a TES diagnosis alone.
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Rabin JS, Nichols E, La Joie R, Casaletto KB, Palta P, Dams-O’Connor K, Kumar RG, George KM, Satizabal CL, Schneider JA, Pa J, Brickman AM. Cerebral amyloid angiopathy interacts with neuritic amyloid plaques to promote tau and cognitive decline. Brain 2022; 145:2823-2833. [PMID: 35759327 PMCID: PMC9420012 DOI: 10.1093/brain/awac178] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 04/25/2022] [Accepted: 04/27/2022] [Indexed: 12/12/2022] Open
Abstract
Accumulating data suggest that cerebrovascular disease contributes to Alzheimer's disease pathophysiology and progression toward dementia. Cerebral amyloid angiopathy is a form of cerebrovascular pathology that results from the build-up of β-amyloid in the vessel walls. Cerebral amyloid angiopathy commonly co-occurs with Alzheimer's disease pathology in the ageing brain and increases the risk of Alzheimer's disease dementia. In the present study, we examined whether cerebral amyloid angiopathy influences tau deposition and cognitive decline independently or synergistically with parenchymal β-amyloid burden. Secondly, we examined whether tau burden mediates the association between cerebral amyloid angiopathy and cognitive decline. We included data from autopsied subjects recruited from one of three longitudinal clinical-pathological cohort studies: the Rush Memory and Aging Project, the Religious Orders Study and the Minority Aging Research Study. Participants completed annual clinical and cognitive evaluations and underwent brain autopsy. Cerebral amyloid angiopathy pathology was rated as none, mild, moderate or severe. Bielschowsky silver stain was used to visualize neuritic β-amyloid plaques and neurofibrillary tangles. We used linear regression and linear mixed models to test independent versus interactive associations of cerebral amyloid angiopathy and neuritic plaque burden with tau burden and longitudinal cognitive decline, respectively. We used causal mediation models to examine whether tau mediates the association between cerebral amyloid angiopathy and cognitive decline. The study sample included 1722 autopsied subjects (age at baseline = 80.2 ± 7.1 years; age at death = 89.5 ± 6.7 years; 68% females). Cerebral amyloid angiopathy interacted with neuritic plaques to accelerate tau burden and cognitive decline. Specifically, those with more severe cerebral amyloid angiopathy pathology and higher levels of neuritic plaque burden had greater tau burden and faster cognitive decline. We also found that tau mediated the association between cerebral amyloid angiopathy and cognitive decline among participants with higher neuritic plaque burden. In summary, more severe levels of cerebral amyloid angiopathy and higher parenchymal β-amyloid burden interacted to promote cognitive decline indirectly via tau deposition. These results highlight the dynamic interplay between cerebral amyloid angiopathy and Alzheimer's disease pathology in accelerating progression toward dementia. These findings have implications for Alzheimer's disease clinical trials and therapeutic development.
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Moguilner S, Birba A, Fittipaldi S, Gonzalez-Campo C, Tagliazucchi E, Reyes P, Matallana D, Parra MA, Slachevsky A, Farías G, Cruzat J, García A, Eyre HA, Joie RL, Rabinovici G, Whelan R, Ibáñez A. Multi-feature computational framework for combined signatures of dementia in underrepresented settings. J Neural Eng 2022; 19:10.1088/1741-2552/ac87d0. [PMID: 35940105 PMCID: PMC11177279 DOI: 10.1088/1741-2552/ac87d0] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 08/08/2022] [Indexed: 11/11/2022]
Abstract
Objective.The differential diagnosis of behavioral variant frontotemporal dementia (bvFTD) and Alzheimer's disease (AD) remains challenging in underrepresented, underdiagnosed groups, including Latinos, as advanced biomarkers are rarely available. Recent guidelines for the study of dementia highlight the critical role of biomarkers. Thus, novel cost-effective complementary approaches are required in clinical settings.Approach. We developed a novel framework based on a gradient boosting machine learning classifier, tuned by Bayesian optimization, on a multi-feature multimodal approach (combining demographic, neuropsychological, magnetic resonance imaging (MRI), and electroencephalography/functional MRI connectivity data) to characterize neurodegeneration using site harmonization and sequential feature selection. We assessed 54 bvFTD and 76 AD patients and 152 healthy controls (HCs) from a Latin American consortium (ReDLat).Main results. The multimodal model yielded high area under the curve classification values (bvFTD patients vs HCs: 0.93 (±0.01); AD patients vs HCs: 0.95 (±0.01); bvFTD vs AD patients: 0.92 (±0.01)). The feature selection approach successfully filtered non-informative multimodal markers (from thousands to dozens).Results. Proved robust against multimodal heterogeneity, sociodemographic variability, and missing data.Significance. The model accurately identified dementia subtypes using measures readily available in underrepresented settings, with a similar performance than advanced biomarkers. This approach, if confirmed and replicated, may potentially complement clinical assessments in developing countries.
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Asken BM, Tanner JA, VandeVrede L, Mantyh WG, Casaletto KB, Staffaroni AM, La Joie R, Iaccarino L, Soleimani-Meigooni D, Rojas JC, Gardner RC, Miller BL, Grinberg LT, Boxer AL, Kramer JH, Rabinovici GD. Plasma P-tau181 and P-tau217 in Patients With Traumatic Encephalopathy Syndrome With and Without Evidence of Alzheimer Disease Pathology. Neurology 2022; 99:e594-e604. [PMID: 35577574 PMCID: PMC9442622 DOI: 10.1212/wnl.0000000000200678] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 03/18/2022] [Indexed: 01/30/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Traumatic encephalopathy syndrome (TES) has overlapping clinical symptoms with Alzheimer disease (AD). AD pathology commonly co-occurs with chronic traumatic encephalopathy (CTE) pathology. There are currently no validated CTE biomarkers. AD-specific biomarkers such as plasma P-tau181 and P-tau217 may help to identify patients with TES who have AD pathology. METHODS We measured plasma P-tau181 and P-tau217 (Meso Scale Discovery electrochemiluminescence) in patients with TES, mild cognitive impairment/dementia with biomarker-confirmed AD ("AD"), and healthy controls ("HC"). Patients underwent amyloid-beta (Aβ)-PET and a subset underwent tau-PET using [18F]Flortaucipir. We compared plasma P-tau levels controlling for age and sex and also performed AUC analyses to evaluate the accuracy of group differentiation. In patients with TES, we evaluated associations between plasma P-tau, years of repetitive head impact exposure, and tau-PET. Four TES patients with autopsy-confirmed CTE were described qualitatively. RESULTS The sample included 131 participants (TES, N = 18; AD, N = 65; HC, N = 48). Aβ(+) patients with TES (N = 10), but not Aβ(-) TES, had significantly higher plasma P-tau levels than HC (P-tau181: p < 0.001, d = 1.34; P-tau217: p < 0.001, d = 1.59). There was a trend for Aβ(+) TES having higher plasma P-tau than Aβ(-) TES (P-tau181: p = 0.06, d = 1.06; P-tau217: p = 0.09, d = 0.93). AUC analyses showed good classification of Aβ(+) TES from HC for P-tau181 (AUC = 0.87 [0.71-1.00]) and P-tau217 (AUC = 0.93 [0.86-1.00]). Plasma P-tau217 showed fair differentiation of Aβ(+) TES from Aβ(-) TES (AUC = 0.79 [0.54-1.00], p = 0.04), whereas classification accuracy of P-tau181 was slightly lower and not statistically significant (AUC = 0.71 [0.46-0.96], p = 0.13). Patients with AD had higher tau-PET tracer uptake than Aβ(+) TES and were well differentiated using P-tau181 (AUC = 0.81 [0.68-0.94]) and P-tau217 (AUC = 0.86 [0.73-0.98]). Plasma P-tau correlated with the tau-PET signal in Aβ(+) TES but not in Aβ(-) TES, and there was no association between plasma P-tau and years of repetitive head impact exposure. TES patients with severe CTE and no AD at autopsy had low P-tau181 and P-tau217 levels. DISCUSSION Measuring P-tau181 and P-tau217 in plasma may be a feasible and scalable fluid biomarker for identifying AD pathology in TES. Low plasma P-tau levels may be used to increase clinical suspicion of CTE over AD as a primary pathology in TES. Currently, there is no support for P-tau181 or P-tau217 as in vivo biomarkers of CTE tau. Larger studies of patients with pathologically confirmed CTE are needed. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that (1) among patients with TES and abnormal Aβ-PET scans, elevated plasma P-tau can differentiate between affected individuals and HCs; (2) low plasma P-tau may help identify patients with TES who do not have Alzheimer; and (3) plasma P-tau181 and P-tau217 are not useful biomarkers of patients with TES who do not have AD.
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Sirkis DW, Bonham LW, Johnson TP, La Joie R, Yokoyama JS. Dissecting the clinical heterogeneity of early-onset Alzheimer's disease. Mol Psychiatry 2022; 27:2674-2688. [PMID: 35393555 PMCID: PMC9156414 DOI: 10.1038/s41380-022-01531-9] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 03/07/2022] [Accepted: 03/16/2022] [Indexed: 12/14/2022]
Abstract
Early-onset Alzheimer's disease (EOAD) is a rare but particularly devastating form of AD. Though notable for its high degree of clinical heterogeneity, EOAD is defined by the same neuropathological hallmarks underlying the more common, late-onset form of AD. In this review, we describe the various clinical syndromes associated with EOAD, including the typical amnestic phenotype as well as atypical variants affecting visuospatial, language, executive, behavioral, and motor functions. We go on to highlight advances in fluid biomarker research and describe how molecular, structural, and functional neuroimaging can be used not only to improve EOAD diagnostic acumen but also enhance our understanding of fundamental pathobiological changes occurring years (and even decades) before the onset of symptoms. In addition, we discuss genetic variation underlying EOAD, including pathogenic variants responsible for the well-known mendelian forms of EOAD as well as variants that may increase risk for the much more common forms of EOAD that are either considered to be sporadic or lack a clear autosomal-dominant inheritance pattern. Intriguingly, specific pathogenic variants in PRNP and MAPT-genes which are more commonly associated with other neurodegenerative diseases-may provide unexpectedly important insights into the formation of AD tau pathology. Genetic analysis of the atypical clinical syndromes associated with EOAD will continue to be challenging given their rarity, but integration of fluid biomarker data, multimodal imaging, and various 'omics techniques and their application to the study of large, multicenter cohorts will enable future discoveries of fundamental mechanisms underlying the development of EOAD and its varied clinical presentations.
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Malpetti M, La Joie R. Imaging Alzheimer's pathology stage by stage. NATURE AGING 2022; 2:465-467. [PMID: 37118453 DOI: 10.1038/s43587-022-00236-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
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Malpetti M, Joie RL, Rabinovici GD. Tau Beats Amyloid in Predicting Brain Atrophy in Alzheimer Disease: Implications for Prognosis and Clinical Trials. J Nucl Med 2022; 63:830-832. [PMID: 35649659 PMCID: PMC9157718 DOI: 10.2967/jnumed.121.263694] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 03/10/2022] [Indexed: 11/16/2022] Open
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Ranasinghe KG, Verma P, Cai C, Xie X, Kudo K, Gao X, Lerner H, Mizuiri D, Strom A, Iaccarino L, La Joie R, Miller BL, Gorno-Tempini ML, Rankin KP, Jagust WJ, Vossel K, Rabinovici GD, Raj A, Nagarajan SS. Altered excitatory and inhibitory neuronal subpopulation parameters are distinctly associated with tau and amyloid in Alzheimer's disease. eLife 2022; 11:e77850. [PMID: 35616532 PMCID: PMC9217132 DOI: 10.7554/elife.77850] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Accepted: 05/19/2022] [Indexed: 11/13/2022] Open
Abstract
Background Neuronal- and circuit-level abnormalities of excitation and inhibition are shown to be associated with tau and amyloid-beta (Aβ) in preclinical models of Alzheimer's disease (AD). These relationships remain poorly understood in patients with AD. Methods Using empirical spectra from magnetoencephalography and computational modeling (neural mass model), we examined excitatory and inhibitory parameters of neuronal subpopulations and investigated their specific associations to regional tau and Aβ, measured by positron emission tomography, in patients with AD. Results Patients with AD showed abnormal excitatory and inhibitory time-constants and neural gains compared to age-matched controls. Increased excitatory time-constants distinctly correlated with higher tau depositions while increased inhibitory time-constants distinctly correlated with higher Aβ depositions. Conclusions Our results provide critical insights about potential mechanistic links between abnormal neural oscillations and cellular correlates of impaired excitatory and inhibitory synaptic functions associated with tau and Aβ in patients with AD. Funding This study was supported by the National Institutes of Health grants: K08AG058749 (KGR), F32AG050434-01A1 (KGR), K23 AG038357 (KAV), P50 AG023501, P01 AG19724 (BLM), P50-AG023501 (BLM and GDR), R01 AG045611 (GDR); AG034570, AG062542 (WJ); NS100440 (SSN), DC176960 (SSN), DC017091 (SSN), AG062196 (SSN); a grant from John Douglas French Alzheimer's Foundation (KAV); grants from Larry L. Hillblom Foundation: 2015-A-034-FEL (KGR), 2019-A-013-SUP (KGR); grants from the Alzheimer's Association: AARG-21-849773 (KGR); PCTRB-13-288476 (KAV), and made possible by Part the CloudTM (ETAC-09-133596); a grant from Tau Consortium (GDR and WJJ), and a gift from the S. D. Bechtel Jr. Foundation.
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Lee WJ, Brown JA, Kim HR, La Joie R, Cho H, Lyoo CH, Rabinovici GD, Seong JK, Seeley WW. Regional Aβ-tau interactions promote onset and acceleration of Alzheimer's disease tau spreading. Neuron 2022; 110:1932-1943.e5. [PMID: 35443153 DOI: 10.1016/j.neuron.2022.03.034] [Citation(s) in RCA: 57] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 02/19/2022] [Accepted: 03/28/2022] [Indexed: 12/22/2022]
Abstract
Amyloid-beta and tau are key molecules in the pathogenesis of Alzheimer's disease, but it remains unclear how these proteins interact to promote disease. Here, by combining cross-sectional and longitudinal molecular imaging and network connectivity analyses in living humans, we identified two amyloid-beta/tau interactions associated with the onset and propagation of tau spreading. First, we show that the lateral entorhinal cortex, an early site of tau neurofibrillary tangle formation, is subject to remote, connectivity-mediated amyloid-beta/tau interactions linked to initial tau spreading. Second, we identify the inferior temporal gyrus as the region featuring the greatest local amyloid-beta/tau interactions and a connectivity profile well suited to accelerate tau propagation. Taken together, our data address long-standing questions regarding the topographical dissimilarity between early amyloid-beta and tau deposition.
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