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PET measurement of longitudinal amyloid load identifies the earliest stages of amyloid-beta accumulation during Alzheimer's disease progression in Down syndrome.
Zammit, Matthew D; Tudorascu, Dana L; Laymon, Charles M; Hartley, Sigan L; Zaman, Shahid H; Ances, Beau M; Johnson, Sterling C; Stone, Charles K; Mathis, Chester A; Klunk, William E; Cohen, Ann D; Handen, Benjamin L; Christian, Bradley T.
Afiliação
  • Zammit MD; University of Wisconsin-Madison, Waisman Center, 1500 Highland Avenue, Madison, WI 53705, United States. Electronic address: mzammit@wisc.edu.
  • Tudorascu DL; University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, United States. Electronic address: dlt30@pitt.edu.
  • Laymon CM; University of Pittsburgh, Department of Radiology, Pittsburgh, PA, United States; University of Pittsburgh, Department of Bioengineering, Pittsburgh, PA, United States. Electronic address: cml14@pitt.edu.
  • Hartley SL; University of Wisconsin-Madison, Waisman Center, 1500 Highland Avenue, Madison, WI 53705, United States. Electronic address: slhartley@wisc.edu.
  • Zaman SH; Cambridge Intellectual Disability Research Group, University of Cambridge, Cambridge, United Kingdom. Electronic address: shz10@medschl.cam.ac.uk.
  • Ances BM; Washington University in St. Louis Department of Neurology, St. Louis, MO, United States. Electronic address: bances@wustl.edu.
  • Johnson SC; University of Wisconsin-Madison, Alzheimer's Disease Research Center, Madison, WI, United States. Electronic address: scj@medicine.wisc.edu.
  • Stone CK; University of Wisconsin-Madison, Department of Medicine, Madison, WI, United States. Electronic address: cks@medicine.wisc.edu.
  • Mathis CA; University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, United States. Electronic address: mathca@upmc.edu.
  • Klunk WE; University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, United States.
  • Cohen AD; University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, United States. Electronic address: cohenad@upmc.edu.
  • Handen BL; University of Pittsburgh, Department of Psychiatry, Pittsburgh, PA, United States. Electronic address: handenbl@upmc.edu.
  • Christian BT; University of Wisconsin-Madison, Waisman Center, 1500 Highland Avenue, Madison, WI 53705, United States. Electronic address: bchristian@wisc.edu.
Neuroimage ; 228: 117728, 2021 03.
Article em En | MEDLINE | ID: mdl-33421595
ABSTRACT

INTRODUCTION:

Adults with Down syndrome (DS) are predisposed to Alzheimer's disease (AD) and reveal early amyloid beta (Aß) pathology in the brain. Positron emission tomography (PET) provides an in vivo measure of Aß throughout the AD continuum. Due to the high prevalence of AD in DS, there is need for longitudinal imaging studies of Aß to better characterize the natural history of Aß accumulation, which will aid in the staging of this population for clinical trials aimed at AD treatment and prevention.

METHODS:

Adults with DS (N = 79; Mean age (SD) = 42.7 (7.28) years) underwent longitudinal [C-11]Pittsburgh compound B (PiB) PET. Global Aß burden was quantified using the amyloid load metric (AßL). Modeled PiB images were generated from the longitudinal AßL data to visualize which regions are most susceptible to Aß accumulation in DS. AßL change was evaluated across Aß(-), Aß-converter, and Aß(+) groups to assess longitudinal Aß trajectories during different stages of AD-pathology progression. AßL change values were used to identify Aß-accumulators within the Aß(-) group prior to reaching the Aß(+) threshold (previously reported as 20 AßL) which would have resulted in an Aß-converter classification. With knowledge of trajectories of Aß(-) accumulators, a new cutoff of Aß(+) was derived to better identify subthreshold Aß accumulation in DS. Estimated sample sizes necessary to detect a 25% reduction in annual Aß change with 80% power (alpha 0.01) were determined for different groups of Aß-status.

RESULTS:

Modeled PiB images revealed the striatum, parietal cortex and precuneus as the regions with earliest detected Aß accumulation in DS. The Aß(-) group had a mean AßL change of 0.38 (0.58) AßL/year, while the Aß-converter and Aß(+) groups had change of 2.26 (0.66) and 3.16 (1.34) AßL/year, respectively. Within the Aß(-) group, Aß-accumulators showed no significant difference in AßL change values when compared to Aß-converter and Aß(+) groups. An Aß(+) cutoff for subthreshold Aß accumulation was derived as 13.3 AßL. The estimated sample size necessary to detect a 25% reduction in Aß was 79 for Aß(-) accumulators and 59 for the Aß-converter/Aß(+) group in DS.

CONCLUSION:

Longitudinal AßL changes were capable of distinguishing Aß accumulators from non-accumulators in DS. Longitudinal imaging allowed for identification of subthreshold Aß accumulation in DS during the earliest stages of AD-pathology progression. Detection of active Aß deposition evidenced by subthreshold accumulation with longitudinal imaging can identify DS individuals at risk for AD development at an earlier stage.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Peptídeos beta-Amiloides / Síndrome de Down / Doença de Alzheimer Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Peptídeos beta-Amiloides / Síndrome de Down / Doença de Alzheimer Idioma: En Ano de publicação: 2021 Tipo de documento: Article