TY - JOUR
T1 - Plasma ATN biomarkers across the alzheimer’s disease continuum in a Chilean community- and clinic-based cohort
AU - Orellana, Paulina
AU - Henríquez, Fernando
AU - Cabral-Miranda, Felipe
AU - Hernandez, Hernán
AU - Ferreira, Pamela C.L.
AU - Bellaver, Bruna
AU - Caviedes, Ariel
AU - Pizarro, Matias
AU - Gonzalez-Silva, Carolina
AU - Marin-Diaz, Nickole
AU - Riquelme, Patricio
AU - Pozo, Natalia
AU - Damm, Francisca
AU - Court, Felipe A.
AU - Gonzalez-Billault, Christian
AU - Lillo, Patricia
AU - Thumala-Dockendorff, Daniela
AU - Cerda, Mauricio
AU - Villagra, Roque
AU - de la Cruz, Rolando
AU - Karikari, Thomas
AU - Ibañez, Agustín
AU - Zetterberg, Henrik
AU - A Pascoal, Tharick
AU - Duran-Aniotz, Claudia
AU - Slachevsky, Andrea
N1 - Publisher Copyright:
© The Author(s) 2026.
PY - 2026/12
Y1 - 2026/12
N2 - Background: Plasma biomarkers have emerged as robust indicators of Alzheimer’s disease (AD) pathology, offering accessible tools for staging and stratification. However, their expression across globally diverse populations remains poorly characterized. The aim of this study was to evaluate whether the combination of plasma biomarkers could distinguish different stages along the AD continuum and assess their clinical associations in a Latin American cohort. Methods: We evaluated plasma amyloid, tau, and neurodegeneration (ATN) biomarkers in 318 older adults from a Chilean community- and clinic-based cohort, including individuals with subjective cognitive complaints (SCC), mild cognitive impairment (MCI), and Alzheimer’s disease dementia (ADD), alongside cognitively unimpaired (CU) participants. Plasma ATN biomarkers (Aβ42/Aβ40, p-tau217, NfL, and GFAP) were quantified using Simoa technology. Global cognition was assessed with the Addenbrooke’s Cognitive Examination (ACE), memory with the Free and Cued Selective Reminding Test (FCSRT), and functional ability with the Technology–Activities of Daily Living Questionnaire (T-ADLQ). Group differences in plasma biomarkers were examined using ANCOVA models adjusted for age, sex, and education, and associations with cognitive performance were evaluated through linear regression analyses. In addition, supervised machine-learning models were implemented to classify participants across diagnostic categories based on plasma biomarker profiles, using cross-validation to evaluate predictive performance. Results: We observed a progressive decline in the Aβ42/Aβ40 ratio and elevations in p-tau217 and GFAP across the clinical continuum. Additionally, p-tau217 and NfL levels were inversely associated with cognitive, memory, and functional performance. Notably, p-tau217 distinguished ADD from CU with high accuracy (AUC = 0.88), although its performance in earlier stages was limited. Conclusion: These findings support the biological consistency of plasma biomarkers in AD-related neurodegeneration and provide novel evidence from a Latin American population. Further studies are needed to improve early-stage detection and to better understand how genetic, environmental, and health factors shape biomarker expressions in underrepresented regions.
AB - Background: Plasma biomarkers have emerged as robust indicators of Alzheimer’s disease (AD) pathology, offering accessible tools for staging and stratification. However, their expression across globally diverse populations remains poorly characterized. The aim of this study was to evaluate whether the combination of plasma biomarkers could distinguish different stages along the AD continuum and assess their clinical associations in a Latin American cohort. Methods: We evaluated plasma amyloid, tau, and neurodegeneration (ATN) biomarkers in 318 older adults from a Chilean community- and clinic-based cohort, including individuals with subjective cognitive complaints (SCC), mild cognitive impairment (MCI), and Alzheimer’s disease dementia (ADD), alongside cognitively unimpaired (CU) participants. Plasma ATN biomarkers (Aβ42/Aβ40, p-tau217, NfL, and GFAP) were quantified using Simoa technology. Global cognition was assessed with the Addenbrooke’s Cognitive Examination (ACE), memory with the Free and Cued Selective Reminding Test (FCSRT), and functional ability with the Technology–Activities of Daily Living Questionnaire (T-ADLQ). Group differences in plasma biomarkers were examined using ANCOVA models adjusted for age, sex, and education, and associations with cognitive performance were evaluated through linear regression analyses. In addition, supervised machine-learning models were implemented to classify participants across diagnostic categories based on plasma biomarker profiles, using cross-validation to evaluate predictive performance. Results: We observed a progressive decline in the Aβ42/Aβ40 ratio and elevations in p-tau217 and GFAP across the clinical continuum. Additionally, p-tau217 and NfL levels were inversely associated with cognitive, memory, and functional performance. Notably, p-tau217 distinguished ADD from CU with high accuracy (AUC = 0.88), although its performance in earlier stages was limited. Conclusion: These findings support the biological consistency of plasma biomarkers in AD-related neurodegeneration and provide novel evidence from a Latin American population. Further studies are needed to improve early-stage detection and to better understand how genetic, environmental, and health factors shape biomarker expressions in underrepresented regions.
KW - Alzheimer disease
KW - Alzheimer’s disease dementia
KW - Machine learning
KW - Mild cognitive impairment
KW - Plasma ATN biomarkers
KW - Subjective cognitive complaints
KW - p-tau217
UR - https://www.scopus.com/pages/publications/105034579179
U2 - 10.1186/s13195-026-01974-0
DO - 10.1186/s13195-026-01974-0
M3 - Article
C2 - 41691306
AN - SCOPUS:105034579179
SN - 1758-9193
VL - 18
JO - Alzheimer's Research and Therapy
JF - Alzheimer's Research and Therapy
IS - 1
M1 - 70
ER -