Accuracy of Tau Positron Emission Tomography as a Prognostic Marker in Preclinical and Prodromal Alzheimer Disease: A Head-to-Head Comparison Against Amyloid Positron Emission Tomography and Magnetic Resonance Imaging.


Journal

JAMA neurology
ISSN: 2168-6157
Titre abrégé: JAMA Neurol
Pays: United States
ID NLM: 101589536

Informations de publication

Date de publication:
01 08 2021
Historique:
pubmed: 29 6 2021
medline: 14 1 2022
entrez: 28 6 2021
Statut: ppublish

Résumé

Tau positron emission tomography (PET) tracers have proven useful for the differential diagnosis of dementia, but their utility for predicting cognitive change is unclear. To examine the prognostic accuracy of baseline fluorine 18 (18F)-flortaucipir and [18F]RO948 (tau) PET in individuals across the Alzheimer disease (AD) clinical spectrum and to perform a head-to-head comparison against established magnetic resonance imaging (MRI) and amyloid PET markers. This prognostic study collected data from 8 cohorts in South Korea, Sweden, and the US from June 1, 2014, to February 28, 2021, with a mean (SD) follow-up of 1.9 (0.8) years. A total of 1431 participants were recruited from memory clinics, clinical trials, or cohort studies; 673 were cognitively unimpaired (CU group; 253 [37.6%] positive for amyloid-β [Aβ]), 443 had mild cognitive impairment (MCI group; 271 [61.2%] positive for Aβ), and 315 had a clinical diagnosis of AD dementia (315 [100%] positive for Aβ). [18F]Flortaucipir PET in the discovery cohort (n = 1135) or [18F]RO948 PET in the replication cohort (n = 296), T1-weighted MRI (n = 1431), and amyloid PET (n = 1329) at baseline and repeated Mini-Mental State Examination (MMSE) evaluation. Baseline [18F]flortaucipir/[18F]RO948 PET retention within a temporal region of interest, MRI-based AD-signature cortical thickness, and amyloid PET Centiloids were used to predict changes in MMSE using linear mixed-effects models adjusted for age, sex, education, and cohort. Mediation/interaction analyses tested whether associations between baseline tau PET and cognitive change were mediated by baseline MRI measures and whether age, sex, and APOE genotype modified these associations. Among 1431 participants, the mean (SD) age was 71.2 (8.8) years; 751 (52.5%) were male. Findings for [18F]flortaucipir PET predicted longitudinal changes in MMSE, and effect sizes were stronger than for AD-signature cortical thickness and amyloid PET across all participants (R2, 0.35 [tau PET] vs 0.24 [MRI] vs 0.17 [amyloid PET]; P < .001, bootstrapped for difference) in the Aβ-positive MCI group (R2, 0.25 [tau PET] vs 0.15 [MRI] vs 0.07 [amyloid PET]; P < .001, bootstrapped for difference) and in the Aβ-positive CU group (R2, 0.16 [tau PET] vs 0.08 [MRI] vs 0.08 [amyloid PET]; P < .001, bootstrapped for difference). These findings were replicated in the [18F]RO948 PET cohort. MRI mediated the association between [18F]flortaucipir PET and MMSE in the groups with AD dementia (33.4% [95% CI, 15.5%-60.0%] of the total effect) and Aβ-positive MCI (13.6% [95% CI, 0.0%-28.0%] of the total effect), but not the Aβ-positive CU group (3.7% [95% CI, -17.5% to 39.0%]; P = .71). Age (t = -2.28; P = .02), but not sex (t = 0.92; P = .36) or APOE genotype (t = 1.06; P = .29) modified the association between baseline [18F]flortaucipir PET and cognitive change, such that older individuals showed faster cognitive decline at similar tau PET levels. The findings of this prognostic study suggest that tau PET is a promising tool for predicting cognitive change that is superior to amyloid PET and MRI and may support the prognostic process in preclinical and prodromal stages of AD.

Identifiants

pubmed: 34180956
pii: 2781465
doi: 10.1001/jamaneurol.2021.1858
pmc: PMC8240013
doi:

Substances chimiques

Amyloid beta-Peptides 0
Apolipoproteins E 0
Carbolines 0
MAPT protein, human 0
Radiopharmaceuticals 0
tau Proteins 0
7-(6-fluoropyridin-3-yl)-5H-pyrido(4,3-b)indole J09QS3Z3WB

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

961-971

Subventions

Organisme : NIA NIH HHS
ID : P01 AG019724
Pays : United States

Commentaires et corrections

Type : CommentIn

Auteurs

Rik Ossenkoppele (R)

Clinical Memory Research Unit, Lund University, Malmö, Sweden.
Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam University Medical Center, Amsterdam, the Netherlands.

Ruben Smith (R)

Clinical Memory Research Unit, Lund University, Malmö, Sweden.

Niklas Mattsson-Carlgren (N)

Clinical Memory Research Unit, Lund University, Malmö, Sweden.
Department of Neurology, Skåne University Hospital, Lund, Sweden.
Wallenberg Centre for Molecular Medicine, Lund University, Lund, Sweden.

Colin Groot (C)

Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam University Medical Center, Amsterdam, the Netherlands.

Antoine Leuzy (A)

Clinical Memory Research Unit, Lund University, Malmö, Sweden.

Olof Strandberg (O)

Clinical Memory Research Unit, Lund University, Malmö, Sweden.

Sebastian Palmqvist (S)

Clinical Memory Research Unit, Lund University, Malmö, Sweden.

Tomas Olsson (T)

Department of Radiation Physics, Skåne University Hospital, Lund, Sweden.

Jonas Jögi (J)

Department of Clinical Physiology and Nuclear Medicine, Skåne University Hospital, Lund, Sweden.

Erik Stormrud (E)

Clinical Memory Research Unit, Lund University, Malmö, Sweden.
Memory Clinic, Skåne University Hospital, Malmö, Sweden.

Hanna Cho (H)

Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.

Young Hoon Ryu (YH)

Department of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.

Jae Yong Choi (JY)

Department of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Division of Applied Radiological Imaging, Korea Institute Radiological and Medical Sciences, Seoul, South Korea.

Adam L Boxer (AL)

Department of Neurology, Memory and Aging Center, University of California, San Francisco.

Maria L Gorno-Tempini (ML)

Department of Neurology, Memory and Aging Center, University of California, San Francisco.

Bruce L Miller (BL)

Department of Neurology, Memory and Aging Center, University of California, San Francisco.

David Soleimani-Meigooni (D)

Department of Neurology, Memory and Aging Center, University of California, San Francisco.

Leonardo Iaccarino (L)

Department of Neurology, Memory and Aging Center, University of California, San Francisco.

Renaud La Joie (R)

Department of Neurology, Memory and Aging Center, University of California, San Francisco.

Suzanne Baker (S)

Lawrence Berkeley National Laboratory, Berkeley, California.

Edilio Borroni (E)

F. Hoffmann-La Roche Ltd, Basel, Switzerland.

Gregory Klein (G)

F. Hoffmann-La Roche Ltd, Basel, Switzerland.

Michael J Pontecorvo (MJ)

Avid Radiopharmaceuticals, Philadelphia, Pennsylvania.

Michael D Devous (MD)

Avid Radiopharmaceuticals, Philadelphia, Pennsylvania.

William J Jagust (WJ)

Lawrence Berkeley National Laboratory, Berkeley, California.
Helen Wills Neuroscience Institute, University of California, Berkeley.

Chul Hyoung Lyoo (CH)

Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.

Gil D Rabinovici (GD)

Department of Neurology, Memory and Aging Center, University of California, San Francisco.
Department of Radiology and Biomedical Imaging, University of California, San Francisco.
Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, California.
Associate Editor, JAMA Neurology.

Oskar Hansson (O)

Clinical Memory Research Unit, Lund University, Malmö, Sweden.
Memory Clinic, Skåne University Hospital, Malmö, Sweden.

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Classifications MeSH