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Early detection of amyloid load using (18)F-florbetaben PET
BACKGROUND: A low amount and extent of Aβ deposition at early stages of Alzheimer’s disease (AD) may limit the use of previously developed pathology-proven composite SUVR cutoffs. This study aims to characterize the population with earliest abnormal Aβ accumulation using (18)F-florbetaben PET. Quant...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8005243/ https://www.ncbi.nlm.nih.gov/pubmed/33773598 http://dx.doi.org/10.1186/s13195-021-00807-6 |
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author | Bullich, Santiago Roé-Vellvé, Núria Marquié, Marta Landau, Susan M. Barthel, Henryk Villemagne, Victor L. Sanabria, Ángela Tartari, Juan Pablo Sotolongo-Grau, Oscar Doré, Vincent Koglin, Norman Müller, Andre Perrotin, Audrey Jovalekic, Aleksandar De Santi, Susan Tárraga, Lluís Stephens, Andrew W. Rowe, Christopher C. Sabri, Osama Seibyl, John P. Boada, Mercè |
author_facet | Bullich, Santiago Roé-Vellvé, Núria Marquié, Marta Landau, Susan M. Barthel, Henryk Villemagne, Victor L. Sanabria, Ángela Tartari, Juan Pablo Sotolongo-Grau, Oscar Doré, Vincent Koglin, Norman Müller, Andre Perrotin, Audrey Jovalekic, Aleksandar De Santi, Susan Tárraga, Lluís Stephens, Andrew W. Rowe, Christopher C. Sabri, Osama Seibyl, John P. Boada, Mercè |
author_sort | Bullich, Santiago |
collection | PubMed |
description | BACKGROUND: A low amount and extent of Aβ deposition at early stages of Alzheimer’s disease (AD) may limit the use of previously developed pathology-proven composite SUVR cutoffs. This study aims to characterize the population with earliest abnormal Aβ accumulation using (18)F-florbetaben PET. Quantitative thresholds for the early (SUVR(early)) and established (SUVR(estab)) Aβ deposition were developed, and the topography of early Aβ deposition was assessed. Subsequently, Aβ accumulation over time, progression from mild cognitive impairment (MCI) to AD dementia, and tau deposition were assessed in subjects with early and established Aβ deposition. METHODS: The study population consisted of 686 subjects (n = 287 (cognitively normal healthy controls), n = 166 (subjects with subjective cognitive decline (SCD)), n = 129 (subjects with MCI), and n = 101 (subjects with AD dementia)). Three categories in the Aβ-deposition continuum were defined based on the developed SUVR cutoffs: Aβ-negative subjects, subjects with early Aβ deposition (“gray zone”), and subjects with established Aβ pathology. RESULTS: SUVR using the whole cerebellum as the reference region and centiloid (CL) cutoffs for early and established amyloid pathology were 1.10 (13.5 CL) and 1.24 (35.7 CL), respectively. Cingulate cortices and precuneus, frontal, and inferior lateral temporal cortices were the regions showing the initial pathological tracer retention. Subjects in the “gray zone” or with established Aβ pathology accumulated more amyloid over time than Aβ-negative subjects. After a 4-year clinical follow-up, none of the Aβ-negative or the gray zone subjects progressed to AD dementia while 91% of the MCI subjects with established Aβ pathology progressed. Tau deposition was infrequent in those subjects without established Aβ pathology. CONCLUSIONS: This study supports the utility of using two cutoffs for amyloid PET abnormality defining a “gray zone”: a lower cutoff of 13.5 CL indicating emerging Aβ pathology and a higher cutoff of 35.7 CL where amyloid burden levels correspond to established neuropathology findings. These cutoffs define a subset of subjects characterized by pre-AD dementia levels of amyloid burden that precede other biomarkers such as tau deposition or clinical symptoms and accelerated amyloid accumulation. The determination of different amyloid loads, particularly low amyloid levels, is useful in determining who will eventually progress to dementia. Quantitation of amyloid provides a sensitive measure in these low-load cases and may help to identify a group of subjects most likely to benefit from intervention. TRIAL REGISTRATION: Data used in this manuscript belong to clinical trials registered in ClinicalTrials.gov (NCT00928304, NCT00750282, NCT01138111, NCT02854033) and EudraCT (2014-000798-38). |
format | Online Article Text |
id | pubmed-8005243 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80052432021-03-30 Early detection of amyloid load using (18)F-florbetaben PET Bullich, Santiago Roé-Vellvé, Núria Marquié, Marta Landau, Susan M. Barthel, Henryk Villemagne, Victor L. Sanabria, Ángela Tartari, Juan Pablo Sotolongo-Grau, Oscar Doré, Vincent Koglin, Norman Müller, Andre Perrotin, Audrey Jovalekic, Aleksandar De Santi, Susan Tárraga, Lluís Stephens, Andrew W. Rowe, Christopher C. Sabri, Osama Seibyl, John P. Boada, Mercè Alzheimers Res Ther Research BACKGROUND: A low amount and extent of Aβ deposition at early stages of Alzheimer’s disease (AD) may limit the use of previously developed pathology-proven composite SUVR cutoffs. This study aims to characterize the population with earliest abnormal Aβ accumulation using (18)F-florbetaben PET. Quantitative thresholds for the early (SUVR(early)) and established (SUVR(estab)) Aβ deposition were developed, and the topography of early Aβ deposition was assessed. Subsequently, Aβ accumulation over time, progression from mild cognitive impairment (MCI) to AD dementia, and tau deposition were assessed in subjects with early and established Aβ deposition. METHODS: The study population consisted of 686 subjects (n = 287 (cognitively normal healthy controls), n = 166 (subjects with subjective cognitive decline (SCD)), n = 129 (subjects with MCI), and n = 101 (subjects with AD dementia)). Three categories in the Aβ-deposition continuum were defined based on the developed SUVR cutoffs: Aβ-negative subjects, subjects with early Aβ deposition (“gray zone”), and subjects with established Aβ pathology. RESULTS: SUVR using the whole cerebellum as the reference region and centiloid (CL) cutoffs for early and established amyloid pathology were 1.10 (13.5 CL) and 1.24 (35.7 CL), respectively. Cingulate cortices and precuneus, frontal, and inferior lateral temporal cortices were the regions showing the initial pathological tracer retention. Subjects in the “gray zone” or with established Aβ pathology accumulated more amyloid over time than Aβ-negative subjects. After a 4-year clinical follow-up, none of the Aβ-negative or the gray zone subjects progressed to AD dementia while 91% of the MCI subjects with established Aβ pathology progressed. Tau deposition was infrequent in those subjects without established Aβ pathology. CONCLUSIONS: This study supports the utility of using two cutoffs for amyloid PET abnormality defining a “gray zone”: a lower cutoff of 13.5 CL indicating emerging Aβ pathology and a higher cutoff of 35.7 CL where amyloid burden levels correspond to established neuropathology findings. These cutoffs define a subset of subjects characterized by pre-AD dementia levels of amyloid burden that precede other biomarkers such as tau deposition or clinical symptoms and accelerated amyloid accumulation. The determination of different amyloid loads, particularly low amyloid levels, is useful in determining who will eventually progress to dementia. Quantitation of amyloid provides a sensitive measure in these low-load cases and may help to identify a group of subjects most likely to benefit from intervention. TRIAL REGISTRATION: Data used in this manuscript belong to clinical trials registered in ClinicalTrials.gov (NCT00928304, NCT00750282, NCT01138111, NCT02854033) and EudraCT (2014-000798-38). BioMed Central 2021-03-27 /pmc/articles/PMC8005243/ /pubmed/33773598 http://dx.doi.org/10.1186/s13195-021-00807-6 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Bullich, Santiago Roé-Vellvé, Núria Marquié, Marta Landau, Susan M. Barthel, Henryk Villemagne, Victor L. Sanabria, Ángela Tartari, Juan Pablo Sotolongo-Grau, Oscar Doré, Vincent Koglin, Norman Müller, Andre Perrotin, Audrey Jovalekic, Aleksandar De Santi, Susan Tárraga, Lluís Stephens, Andrew W. Rowe, Christopher C. Sabri, Osama Seibyl, John P. Boada, Mercè Early detection of amyloid load using (18)F-florbetaben PET |
title | Early detection of amyloid load using (18)F-florbetaben PET |
title_full | Early detection of amyloid load using (18)F-florbetaben PET |
title_fullStr | Early detection of amyloid load using (18)F-florbetaben PET |
title_full_unstemmed | Early detection of amyloid load using (18)F-florbetaben PET |
title_short | Early detection of amyloid load using (18)F-florbetaben PET |
title_sort | early detection of amyloid load using (18)f-florbetaben pet |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8005243/ https://www.ncbi.nlm.nih.gov/pubmed/33773598 http://dx.doi.org/10.1186/s13195-021-00807-6 |
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