Cargando…
The bivariate distribution of amyloid-β and tau: relationship with established neurocognitive clinical syndromes
Large phenotypically diverse research cohorts with both amyloid and tau PET have only recently come into existence. Our objective was to determine relationships between the bivariate distribution of amyloid-β and tau on PET and established clinical syndromes that are relevant to cognitive ageing and...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6763736/ https://www.ncbi.nlm.nih.gov/pubmed/31501889 http://dx.doi.org/10.1093/brain/awz268 |
_version_ | 1783454262085287936 |
---|---|
author | Jack, Clifford R Wiste, Heather J Botha, Hugo Weigand, Stephen D Therneau, Terry M Knopman, David S Graff-Radford, Jonathan Jones, David T Ferman, Tanis J Boeve, Bradley F Kantarci, Kejal Lowe, Val J Vemuri, Prashanthi Mielke, Michelle M Fields, Julie A Machulda, Mary M Schwarz, Christopher G Senjem, Matthew L Gunter, Jeffrey L Petersen, Ronald C |
author_facet | Jack, Clifford R Wiste, Heather J Botha, Hugo Weigand, Stephen D Therneau, Terry M Knopman, David S Graff-Radford, Jonathan Jones, David T Ferman, Tanis J Boeve, Bradley F Kantarci, Kejal Lowe, Val J Vemuri, Prashanthi Mielke, Michelle M Fields, Julie A Machulda, Mary M Schwarz, Christopher G Senjem, Matthew L Gunter, Jeffrey L Petersen, Ronald C |
author_sort | Jack, Clifford R |
collection | PubMed |
description | Large phenotypically diverse research cohorts with both amyloid and tau PET have only recently come into existence. Our objective was to determine relationships between the bivariate distribution of amyloid-β and tau on PET and established clinical syndromes that are relevant to cognitive ageing and dementia. All individuals in this study were enrolled in the Mayo Clinic Study of Aging, a longitudinal population-based study of cognitive ageing, or the Mayo Alzheimer Disease Research Center, a longitudinal study of individuals recruited from clinical practice. We studied 1343 participants who had amyloid PET and tau PET from 2 April 2015 to 3 May 2019, and met criteria for membership in one of five clinical diagnostic groups: cognitively unimpaired, mild cognitive impairment, frontotemporal dementia, probable dementia with Lewy bodies, and Alzheimer clinical syndrome. We examined these clinical groups in relation to the bivariate distribution of amyloid and tau PET values. Individuals were grouped into amyloid (A)/tau (T) quadrants based on previously established abnormality cut points of standardized uptake value ratio 1.48 (A) and 1.33 (T). Individual participants largely fell into one of three amyloid/tau quadrants: low amyloid and low tau (A−T−), high amyloid and low tau (A+T−), or high amyloid and high tau (A+T+). Seventy per cent of cognitively unimpaired and 74% of FTD participants fell into the A−T− quadrant. Participants with mild cognitive impairment spanned the A−T− (42%), A+T− (28%), and A+T+ (27%) quadrants. Probable dementia with Lewy body participants spanned the A−T− (38%) and A+T− (44%) quadrants. Most (89%) participants with Alzheimer clinical syndrome fell into the A+T+ quadrant. These data support several conclusions. First, among 1343 participants, abnormal tau PET rarely occurred in the absence of abnormal amyloid PET, but the reverse was common. Thus, with rare exceptions, amyloidosis appears to be required for high levels of 3R/4R tau deposition. Second, abnormal amyloid PET is compatible with normal cognition but highly abnormal tau PET is not. These two conclusions support a dynamic biomarker model in which Alzheimer’s disease is characterized first by the appearance of amyloidosis and later by tauopathy, with tauopathy being the proteinopathy associated with clinical symptoms. Third, bivariate amyloid and tau PET relationships differed across clinical groups and thus have a role for clarifying the aetiologies underlying neurocognitive clinical syndromes. |
format | Online Article Text |
id | pubmed-6763736 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-67637362019-10-02 The bivariate distribution of amyloid-β and tau: relationship with established neurocognitive clinical syndromes Jack, Clifford R Wiste, Heather J Botha, Hugo Weigand, Stephen D Therneau, Terry M Knopman, David S Graff-Radford, Jonathan Jones, David T Ferman, Tanis J Boeve, Bradley F Kantarci, Kejal Lowe, Val J Vemuri, Prashanthi Mielke, Michelle M Fields, Julie A Machulda, Mary M Schwarz, Christopher G Senjem, Matthew L Gunter, Jeffrey L Petersen, Ronald C Brain Original Articles Large phenotypically diverse research cohorts with both amyloid and tau PET have only recently come into existence. Our objective was to determine relationships between the bivariate distribution of amyloid-β and tau on PET and established clinical syndromes that are relevant to cognitive ageing and dementia. All individuals in this study were enrolled in the Mayo Clinic Study of Aging, a longitudinal population-based study of cognitive ageing, or the Mayo Alzheimer Disease Research Center, a longitudinal study of individuals recruited from clinical practice. We studied 1343 participants who had amyloid PET and tau PET from 2 April 2015 to 3 May 2019, and met criteria for membership in one of five clinical diagnostic groups: cognitively unimpaired, mild cognitive impairment, frontotemporal dementia, probable dementia with Lewy bodies, and Alzheimer clinical syndrome. We examined these clinical groups in relation to the bivariate distribution of amyloid and tau PET values. Individuals were grouped into amyloid (A)/tau (T) quadrants based on previously established abnormality cut points of standardized uptake value ratio 1.48 (A) and 1.33 (T). Individual participants largely fell into one of three amyloid/tau quadrants: low amyloid and low tau (A−T−), high amyloid and low tau (A+T−), or high amyloid and high tau (A+T+). Seventy per cent of cognitively unimpaired and 74% of FTD participants fell into the A−T− quadrant. Participants with mild cognitive impairment spanned the A−T− (42%), A+T− (28%), and A+T+ (27%) quadrants. Probable dementia with Lewy body participants spanned the A−T− (38%) and A+T− (44%) quadrants. Most (89%) participants with Alzheimer clinical syndrome fell into the A+T+ quadrant. These data support several conclusions. First, among 1343 participants, abnormal tau PET rarely occurred in the absence of abnormal amyloid PET, but the reverse was common. Thus, with rare exceptions, amyloidosis appears to be required for high levels of 3R/4R tau deposition. Second, abnormal amyloid PET is compatible with normal cognition but highly abnormal tau PET is not. These two conclusions support a dynamic biomarker model in which Alzheimer’s disease is characterized first by the appearance of amyloidosis and later by tauopathy, with tauopathy being the proteinopathy associated with clinical symptoms. Third, bivariate amyloid and tau PET relationships differed across clinical groups and thus have a role for clarifying the aetiologies underlying neurocognitive clinical syndromes. Oxford University Press 2019-10 2019-09-09 /pmc/articles/PMC6763736/ /pubmed/31501889 http://dx.doi.org/10.1093/brain/awz268 Text en © The Author(s) (2019). Published by Oxford University Press on behalf of the Guarantors of Brain. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Articles Jack, Clifford R Wiste, Heather J Botha, Hugo Weigand, Stephen D Therneau, Terry M Knopman, David S Graff-Radford, Jonathan Jones, David T Ferman, Tanis J Boeve, Bradley F Kantarci, Kejal Lowe, Val J Vemuri, Prashanthi Mielke, Michelle M Fields, Julie A Machulda, Mary M Schwarz, Christopher G Senjem, Matthew L Gunter, Jeffrey L Petersen, Ronald C The bivariate distribution of amyloid-β and tau: relationship with established neurocognitive clinical syndromes |
title | The bivariate distribution of amyloid-β and tau: relationship with established neurocognitive clinical syndromes |
title_full | The bivariate distribution of amyloid-β and tau: relationship with established neurocognitive clinical syndromes |
title_fullStr | The bivariate distribution of amyloid-β and tau: relationship with established neurocognitive clinical syndromes |
title_full_unstemmed | The bivariate distribution of amyloid-β and tau: relationship with established neurocognitive clinical syndromes |
title_short | The bivariate distribution of amyloid-β and tau: relationship with established neurocognitive clinical syndromes |
title_sort | bivariate distribution of amyloid-β and tau: relationship with established neurocognitive clinical syndromes |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6763736/ https://www.ncbi.nlm.nih.gov/pubmed/31501889 http://dx.doi.org/10.1093/brain/awz268 |
work_keys_str_mv | AT jackcliffordr thebivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT wisteheatherj thebivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT bothahugo thebivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT weigandstephend thebivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT therneauterrym thebivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT knopmandavids thebivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT graffradfordjonathan thebivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT jonesdavidt thebivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT fermantanisj thebivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT boevebradleyf thebivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT kantarcikejal thebivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT lowevalj thebivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT vemuriprashanthi thebivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT mielkemichellem thebivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT fieldsjuliea thebivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT machuldamarym thebivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT schwarzchristopherg thebivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT senjemmatthewl thebivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT gunterjeffreyl thebivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT petersenronaldc thebivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT jackcliffordr bivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT wisteheatherj bivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT bothahugo bivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT weigandstephend bivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT therneauterrym bivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT knopmandavids bivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT graffradfordjonathan bivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT jonesdavidt bivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT fermantanisj bivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT boevebradleyf bivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT kantarcikejal bivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT lowevalj bivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT vemuriprashanthi bivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT mielkemichellem bivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT fieldsjuliea bivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT machuldamarym bivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT schwarzchristopherg bivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT senjemmatthewl bivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT gunterjeffreyl bivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes AT petersenronaldc bivariatedistributionofamyloidbandtaurelationshipwithestablishedneurocognitiveclinicalsyndromes |