- Hendrix, James A;
- Airey, David C;
- Britton, Angela;
- Burke, Anna D;
- Capone, George T;
- Chavez, Ronelyn;
- Chen, Jacqueline;
- Chicoine, Brian;
- Costa, Alberto CS;
- Dage, Jeffrey L;
- Doran, Eric;
- Esbensen, Anna;
- Evans, Casey L;
- Faber, Kelley M;
- Foroud, Tatiana M;
- Hart, Sarah;
- Haugen, Kelsey;
- Head, Elizabeth;
- Hendrix, Suzanne;
- Hillerstrom, Hampus;
- Kishnani, Priya S;
- Krell, Kavita;
- Ledesma, Duvia Lara;
- Lai, Florence;
- Lott, Ira;
- Ochoa-Lubinoff, Cesar;
- Mason, Jennifer;
- Nicodemus-Johnson, Jessie;
- Proctor, Nicholas Kyle;
- Pulsifer, Margaret B;
- Revta, Carolyn;
- Rosas, H Diana;
- Rosser, Tracie C;
- Santoro, Stephanie;
- Schafer, Kim;
- Scheidemantel, Thomas;
- Schmitt, Frederick;
- Skotko, Brian G;
- Stasko, Melissa R;
- Talboy, Amy;
- Torres, Amy;
- Wilmes, Kristi;
- Woodward, Jason;
- Zimmer, Jennifer A;
- Feldman, Howard H;
- Mobley, William
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.