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Cross-Sectional Exploration of Plasma Biomarkers of Alzheimer’s Disease in Down Syndrome: Early Data from the Longitudinal Investigation for Enhancing Down Syndrome Research (LIFE-DSR) Study

Authors :
Kristi Wilmes
Jason Woodward
Carolyn Revta
Tatiana Foroud
Kavita Krell
Priya S. Kishnani
James Hendrix
H. Diana Rosas
Hampus Hillerstrom
Amy Talboy
Kelley Faber
Casey L. Evans
Jennifer Mason
Frederick A. Schmitt
Jennifer A. Zimmer
Jessie Nicodemus-Johnson
Sarah J. Hart
Anna J. Esbensen
Howard Feldman
Jeffrey L. Dage
Cesar Ochoa-Lubinoff
Amy Torres
Melissa R. Stasko
David C. Airey
Anna D. Burke
Stephanie L. Santoro
Suzanne Hendrix
Ira T. Lott
Elizabeth Head
Angela Britton
Brian G. Skotko
Kelsey Haugen
Alberto C.S. Costa
Brian Chicoine
Duvia Lara Ledesma
Kim Schafer
Florence Lai
Jacqueline Chen
Ronelyn Chavez
Margaret B. Pulsifer
Nicholas K. Proctor
George T. Capone
William C. Mobley
Thomas Scheidemantel
Tracie C. Rosser
Eric Doran
Source :
Journal of Clinical Medicine, Volume 10, Issue 9, Journal of Clinical Medicine, Vol 10, Iss 1907, p 1907 (2021), Journal of clinical medicine, vol 10, iss 9
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

With improved healthcare, the Down syndrome (DS) population is both growing and aging rapidly. However, with longevity comes a very high risk of Alzheimer’s disease (AD). The LIFE-DSR study (NCT04149197) is a longitudinal natural history study recruiting 270 adults with DS over the age of 25. The study is designed to characterize trajectories of change in DS-associated AD (DS-AD). The current study reports its cross-sectional analysis of the first 90 subjects enrolled. Plasma biomarkers phosphorylated tau protein (p-tau), neurofilament light chain (NfL), amyloid β peptides (Aβ1-40, Aβ1-42), and glial fibrillary acidic protein (GFAP) were undertaken with previously published methods. The clinical data from the baseline visit include demographics as well as the cognitive measures under the Severe Impairment Battery (SIB) and Down Syndrome Mental Status Examination (DS-MSE). Biomarker distributions are described with strong statistical associations observed with participant age. The biomarker data contributes to understanding DS-AD across the spectrum of disease. Collectively, the biomarker data show evidence of DS-AD progression beginning at approximately 40 years of age. Exploring these data across the full LIFE-DSR longitudinal study population will be an important resource in understanding the onset, progression, and clinical profiles of DS-AD pathophysiology.

Details

ISSN :
20770383
Volume :
10
Database :
OpenAIRE
Journal :
Journal of Clinical Medicine
Accession number :
edsair.doi.dedup.....acffc2d78ff7d459333ec8d37ba8644f
Full Text :
https://doi.org/10.3390/jcm10091907