Biomarker affliction classes contribute additively to observed dementia severity and prospective conversion risk

Background Dementia is likely to be overdetermined by the independent contributions of its biomarkers, of which Alzheimer's disease (AD)-specific biomarkers are a subset. Objective To assess the impact of affliction by multiple biomarkers on dementia severity. Methods Using previously validated algorithms, N = 988 PET (+) subjects of the Alzheimer's Disease Neuroimaging Initiative (ADNI) were assigned to groups “afflicted by” or “resilient against” the effects of central nervous system amyloid-β (Aβ), plasma adipokines, and/or neurodegeneration and tested against Clinical Dementia Rating Scale-Sum of Boxes (CDR-SB) and time to dementia conversion. Results CDR-SB rose as a function of the number of afflicting biomarkers in both demented and non-demented cases. 327/988 (33.1%) were afflicted by a single biomarker. That biomarker was Aβ in only 19.88% of these PET (+) subjects. 221/988 (22.4%) were afflicted by all three. Only 124/988 (12.6%) were resilient to all three. Affliction by adipokines had the strongest effect (r = 0.33, p < 0.001). Affliction by Aβ was weakest (r = 0.18, p < 0.001). The number of afflicting biomarkers explained 25.2% of CDR variance and significantly impacted conversion risk over 48 months (by χ2 (df = 3) = 56.69, p < 0.001) independently of baseline CDR-SB (by Cox Proportional Hazards Wald χ2 (df = 3) = 26.24, p < 0.001). Conclusions The biomarkers that determine dementia severity in PET (+) subjects may ultimately comprise ad hoc combinations and do not necessarily include Aβ. These findings have implications for A/T/N diagnoses.

Authors

Institutions

Publication Details

Journal
Journal of Alzheimer s Disease
Published
2026-06-24
DOI
https://doi.org/10.1177/13872877261458678
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Biomarker affliction classes contribute additively to observed dementia severity and prospective conversion risk

Donald R. Royall, Raymond F. Palmer, for the Alzheimer's Disease Neuroimaging Initiative
Journal of Alzheimer s Disease
Dementia and Cognitive Impairment Research
article

Biomarker affliction classes contribute additively to observed dementia severity and prospective conversion risk

Donald R. Royall, Raymond F. Palmer, for the Alzheimer's Disease Neuroimaging Initiative
article en

Abstract

Background Dementia is likely to be overdetermined by the independent contributions of its biomarkers, of which Alzheimer's disease (AD)-specific biomarkers are a subset. Objective To assess the impact of affliction by multiple biomarkers on dementia severity. Methods Using previously validated algorithms, N = 988 PET (+) subjects of the Alzheimer's Disease Neuroimaging Initiative (ADNI) were assigned to groups “afflicted by” or “resilient against” the effects of central nervous system amyloid-β (Aβ), plasma adipokines, and/or neurodegeneration and tested against Clinical Dementia Rating Scale-Sum of Boxes (CDR-SB) and time to dementia conversion. Results CDR-SB rose as a function of the number of afflicting biomarkers in both demented and non-demented cases. 327/988 (33.1%) were afflicted by a single biomarker. That biomarker was Aβ in only 19.88% of these PET (+) subjects. 221/988 (22.4%) were afflicted by all three. Only 124/988 (12.6%) were resilient to all three. Affliction by adipokines had the strongest effect (r = 0.33, p < 0.001). Affliction by Aβ was weakest (r = 0.18, p < 0.001). The number of afflicting biomarkers explained 25.2% of CDR variance and significantly impacted conversion risk over 48 months (by χ2 (df = 3) = 56.69, p < 0.001) independently of baseline CDR-SB (by Cox Proportional Hazards Wald χ2 (df = 3) = 26.24, p < 0.001). Conclusions The biomarkers that determine dementia severity in PET (+) subjects may ultimately comprise ad hoc combinations and do not necessarily include Aβ. These findings have implications for A/T/N diagnoses.

Journal of Alzheimer s Disease
Institute for Neurodegenerative Disorders (US), The University of Texas Health Science Center at Houston (US)
National Institute on Aging
Openalex Percentile: Top 7%
Dementia and Cognitive Impairment Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.