Predicting future rates of tau accumulation on PET.


Journal

Brain : a journal of neurology
ISSN: 1460-2156
Titre abrégé: Brain
Pays: England
ID NLM: 0372537

Informations de publication

Date de publication:
01 10 2020
Historique:
received: 21 02 2020
revised: 08 06 2020
accepted: 24 06 2020
pubmed: 24 10 2020
medline: 17 2 2021
entrez: 23 10 2020
Statut: ppublish

Résumé

Clinical trials with anti-tau drugs will need to target individuals at risk of accumulating tau. Our objective was to identify variables available in a research setting that predict future rates of tau PET accumulation separately among individuals who were either cognitively unimpaired or cognitively impaired. All 337 participants had: a baseline study visit with MRI, amyloid PET, and tau PET exams, at least one follow-up tau PET exam; and met clinical criteria for membership in one of two clinical diagnostic groups: cognitively unimpaired (n = 203); or cognitively impaired (n = 134, a combined group of participants with either mild cognitive impairment or dementia with Alzheimer's clinical syndrome). Our primary analyses were in these two clinical groups; however, we also evaluated subgroups dividing the unimpaired group by normal/abnormal amyloid PET and the impaired group by clinical phenotype (mild cognitive impairment, amnestic dementia, and non-amnestic dementia). Linear mixed effects models were used to estimate associations between age, sex, education, APOE genotype, amyloid and tau PET standardized uptake value ratio (SUVR), cognitive performance, cortical thickness, and white matter hyperintensity volume at baseline, and the rate of subsequent tau PET accumulation. Log-transformed tau PET SUVR was used as the response and rates were summarized as annual per cent change. A temporal lobe tau PET meta-region of interest was used. In the cognitively unimpaired group, only higher baseline amyloid PET was a significant independent predictor of higher tau accumulation rates (P < 0.001). Higher rates of tau accumulation were associated with faster rates of cognitive decline in the cognitively unimpaired subgroup with abnormal amyloid PET (P = 0.03), but among the subgroup with normal amyloid PET. In the cognitively impaired group, younger age (P = 0.02), higher baseline amyloid PET (P = 0.05), APOE ε4 (P = 0.05), and better cognitive performance (P = 0.05) were significant independent predictors of higher tau accumulation rates. Among impaired individuals, faster cognitive decline was associated with faster rates of tau accumulation (P = 0.01). While we examined many possible predictor variables, our results indicate that screening of unimpaired individuals for potential inclusion in anti-tau trials may be straightforward because the only independent predictor of high tau rates was amyloidosis. In cognitively impaired individuals, imaging and clinical variables consistent with early onset Alzheimer's disease phenotype were associated with higher rates of tau PET accumulation suggesting this may be a highly advantageous group in which to conduct proof-of-concept clinical trials that target tau-related mechanisms. The nature of the dementia phenotype (amnestic versus non-amnestic) did not affect this conclusion.

Identifiants

pubmed: 33094327
pii: 5930009
doi: 10.1093/brain/awaa248
pmc: PMC7586089
doi:

Substances chimiques

MAPT protein, human 0
tau Proteins 0

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

3136-3150

Subventions

Organisme : NIA NIH HHS
ID : R01 AG041851
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG056366
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG034676
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG016574
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG011378
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS097495
Pays : United States
Organisme : NIA NIH HHS
ID : R37 AG011378
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG006786
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG050603
Pays : United States

Informations de copyright

© The Author(s) (2020). Published by Oxford University Press on behalf of the Guarantors of Brain.

Références

Neurobiol Aging. 2013 Mar;34(3):822-31
pubmed: 22878163
Nature. 2016 Aug 31;537(7618):50-6
pubmed: 27582220
Can J Neurol Sci. 2016 Apr;43 Suppl 1:S51-82
pubmed: 27307128
Neurology. 2012 Oct 9;79(15):1570-7
pubmed: 22972644
JAMA. 2019 Jun 18;321(23):2316-2325
pubmed: 31211344
Arch Neurol. 2002 Oct;59(10):1589-93
pubmed: 12374497
Ann Neurol. 2016 Aug;80(2):247-58
pubmed: 27323247
Brain. 2017 Sep 1;140(9):2286-2294
pubmed: 29050382
Alzheimers Dement. 2018 Apr;14(4):535-562
pubmed: 29653606
Alzheimers Dement. 2012 Sep;8(5):389-98
pubmed: 22285638
JAMA. 2018 Sep 18;320(11):1151-1162
pubmed: 30326496
J Nucl Med. 2019 Nov;60(11):1611-1621
pubmed: 30926651
Brain. 2018 Jan 1;141(1):271-287
pubmed: 29228201
Alzheimers Dement. 2017 Aug;13(8):870-884
pubmed: 28259709
Ann Neurol. 2014 Apr;75(4):563-73
pubmed: 24623176
J Neuropathol Exp Neurol. 2012 May;71(5):362-81
pubmed: 22487856
Ann Neurol. 1997 Jan;41(1):17-24
pubmed: 9005861
JAMA. 1997 Oct 22-29;278(16):1349-56
pubmed: 9343467
Alzheimers Dement. 2015 Jan;11(1):1-15.e1-4
pubmed: 25443857
Ann Neurol. 2019 Feb;85(2):229-240
pubmed: 30597624
Alzheimers Dement. 2013 Nov;9(6):666-76
pubmed: 23411393
Neuroreport. 2002 Oct 7;13(14):1825-8
pubmed: 12395133
J Intern Med. 2004 Sep;256(3):183-94
pubmed: 15324362
Brain. 2019 Jun 1;142(6):1723-1735
pubmed: 31009046
Neurology. 2016 Jul 26;87(4):375-83
pubmed: 27358341
Sci Transl Med. 2014 Mar 19;6(228):228fs13
pubmed: 24648338
Neuroimage. 2017 Nov 1;161:171-178
pubmed: 28756238
Ann Neurol. 2019 Feb;85(2):181-193
pubmed: 30549303
Neurobiol Aging. 2013 Jan;34(1):1-12
pubmed: 22633529
Brain. 2017 Dec 1;140(12):3286-3300
pubmed: 29053874
Neurology. 2018 Mar 13;90(11):e940-e946
pubmed: 29438037
Brain. 2018 May 1;141(5):1517-1528
pubmed: 29538647
Brain. 2019 Oct 1;142(10):3230-3242
pubmed: 31501889
Brain Commun. 2020;2(1):fcaa068
pubmed: 32671341
Brain. 2019 Jun 1;142(6):1503-1527
pubmed: 31039256
Lancet Neurol. 2013 Apr;12(4):357-67
pubmed: 23477989
J Nucl Med. 1999 Dec;40(12):2053-65
pubmed: 10616886
Nat Commun. 2020 Jan 17;11(1):347
pubmed: 31953405
JAMA Psychiatry. 2018 Jan 1;75(1):84-95
pubmed: 29188296
Neuroepidemiology. 2008;30(1):58-69
pubmed: 18259084
Neurology. 2019 Feb 5;92(6):e601-e612
pubmed: 30626656
JAMA Neurol. 2017 Oct 1;74(10):1178-1189
pubmed: 28846757
Alzheimers Res Ther. 2019 Dec 12;11(1):101
pubmed: 31831056
Neurology. 1996 Jan;46(1):136-41
pubmed: 8559362
Brain. 2019 Aug 1;142(8):2483-2491
pubmed: 31199475
Alzheimers Dement. 2020 Feb;16(2):335-344
pubmed: 31672482
Alzheimers Dement (Amst). 2020 Feb 13;12(1):e12007
pubmed: 32211502
Nat Med. 2020 Mar;26(3):387-397
pubmed: 32123386
Acta Neuropathol Commun. 2019 Feb 15;7(1):22
pubmed: 30767766
Brain. 2019 Apr 1;142(4):1063-1076
pubmed: 30753379
Neuron. 2016 Mar 2;89(5):971-982
pubmed: 26938442
JAMA. 2017 Jun 13;317(22):2305-2316
pubmed: 28609533
Acta Neuropathol. 2011 May;121(5):571-87
pubmed: 21516511
Neurology. 2011 Mar 15;76(11):1006-14
pubmed: 21325651
Alzheimers Dement (N Y). 2019 Jul 09;5:272-293
pubmed: 31334330
J Prev Alzheimers Dis. 2019;6(3):157-163
pubmed: 31062825
Brain. 2018 Apr 1;141(4):1201-1217
pubmed: 29538658
Arch Neurol. 1991 Jul;48(7):725-8
pubmed: 1859300
Alzheimers Dement. 2016 Sep;12(9):977-986
pubmed: 27109039
J Am Geriatr Soc. 2005 Apr;53(4):695-9
pubmed: 15817019
Neurology. 1999 Dec 10;53(9):1992-7
pubmed: 10599770
Neurobiol Aging. 2015 Dec;36(12):3152-3162
pubmed: 26422359
Alzheimers Dement. 2017 Sep;13(9):1004-1012
pubmed: 28253478
Brain. 2019 Apr 1;142(4):1148-1160
pubmed: 30759182
Brain. 2017 Mar 1;140(3):748-763
pubmed: 28077397
Alzheimers Dement. 2018 Aug;14(8):989-997
pubmed: 29626426
JAMA Neurol. 2019 Jun 3;:
pubmed: 31157827
Ann Neurol. 2016 Jan;79(1):110-9
pubmed: 26505746
Lancet Neurol. 2016 Sep;15(10):1044-53
pubmed: 27450471
Neuroimage Clin. 2016 May 30;11:802-812
pubmed: 28050342
J Alzheimers Dis. 2019;67(1):181-195
pubmed: 30475770
Sci Transl Med. 2020 Jan 1;12(524):
pubmed: 31894103
Int J Epidemiol. 2012 Dec;41(6):1614-24
pubmed: 23159830
Neurology. 2015 Mar 17;84(11):1136-44
pubmed: 25681451
JAMA Neurol. 2018 May 1;75(5):536-538
pubmed: 29435570
Mayo Clin Proc. 2019 Aug;94(8):1516-1523
pubmed: 31280871
Cell. 2019 Oct 3;179(2):312-339
pubmed: 31564456
Nature. 2018 Feb 8;554(7691):249-254
pubmed: 29420472
Neurology. 1992 Mar;42(3 Pt 1):631-9
pubmed: 1549228
Brain. 2016 May;139(Pt 5):1551-67
pubmed: 26962052
JAMA Neurol. 2017 Apr 1;74(4):427-436
pubmed: 28241163
Mol Psychiatry. 2018 Jul;23(7):1666-1673
pubmed: 28507319
Alzheimers Dement. 2011 Jan;7(1):61-73
pubmed: 21255744
Sci Transl Med. 2016 May 11;8(338):338ra66
pubmed: 27169802
Neurology. 2015 Aug 11;85(6):535-42
pubmed: 26180144
Lancet Neurol. 2020 May;19(5):422-433
pubmed: 32333900
Alzheimers Dement. 2017 Mar;13(3):205-216
pubmed: 27697430
Neurobiol Aging. 2017 May;53:103-111
pubmed: 28254589
Alzheimers Dement. 2012 Jan;8(1):1-13
pubmed: 22265587
Mol Psychiatry. 2019 Aug;24(8):1112-1134
pubmed: 30635637
Brain. 2014 Jan;137(Pt 1):221-31
pubmed: 24176981
Alzheimers Dement. 2017 Aug;13(8):841-849
pubmed: 28734653
Ann Neurol. 2011 Jun;69(6):1032-42
pubmed: 21437929
Neurology. 1993 Nov;43(11):2412-4
pubmed: 8232972
Neuroimage Clin. 2019;23:101823
pubmed: 31004914
Arch Neurol. 2004 Mar;61(3):378-84
pubmed: 15023815
Alzheimers Dement (Amst). 2018 Mar 06;10:245-252
pubmed: 29780869
Alzheimers Dement. 2011 May;7(3):263-9
pubmed: 21514250
Nat Med. 2020 Mar;26(3):398-407
pubmed: 32161412
Neuroimage. 2017 Aug 15;157:448-463
pubmed: 28587897
JAMA. 2015 May 19;313(19):1924-38
pubmed: 25988462
Ann Neurol. 2004 Mar;55(3):306-19
pubmed: 14991808

Auteurs

Clifford R Jack (CR)

Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Heather J Wiste (HJ)

Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.

Stephen D Weigand (SD)

Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.

Terry M Therneau (TM)

Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.

Val J Lowe (VJ)

Department of Nuclear Medicine, Mayo Clinic, Rochester, MN, USA.

David S Knopman (DS)

Department of Neurology, Mayo Clinic, Rochester, MN, USA.

Hugo Botha (H)

Department of Neurology, Mayo Clinic, Rochester, MN, USA.

Jonathan Graff-Radford (J)

Department of Neurology, Mayo Clinic, Rochester, MN, USA.

David T Jones (DT)

Department of Neurology, Mayo Clinic, Rochester, MN, USA.

Tanis J Ferman (TJ)

Department of Psychology, Mayo Clinic, Jacksonville, FL, USA.

Bradley F Boeve (BF)

Department of Neurology, Mayo Clinic, Rochester, MN, USA.

Kejal Kantarci (K)

Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Prashanthi Vemuri (P)

Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Michelle M Mielke (MM)

Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.

Jennifer Whitwell (J)

Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Keith Josephs (K)

Department of Neurology, Mayo Clinic, Rochester, MN, USA.

Christopher G Schwarz (CG)

Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Matthew L Senjem (ML)

Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Jeffrey L Gunter (JL)

Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Ronald C Petersen (RC)

Department of Neurology, Mayo Clinic, Rochester, MN, USA.

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