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Updated: Jan 18, 2026

Selection of Aptamers for Amyloid β-Protein, the Causative Agent of Alzheimer's Disease
Published on: May 13, 2010
Structural and Functional Determinants of ARIA-H Risk in Anti-Amyloid Monoclonal Antibodies: A Comparative
Dinghao An1,2, Xinxin Zou2,3,4, Yun Xu1,2,3,4
1Department of Neurology, Nanjing Drum Tower Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, China.
Introduction:
Amyloid-beta-targeting monoclonal antibodies (mAbs) for Alzheimer's disease frequently induce amyloid-related imaging abnormalities with hemorrhage (ARIA-H), yet systematic comparisons of ARIA-H incidence across therapeutic agents remain limited. Post-approval research prioritizes dosing over mechanism, leaving unresolved whether ARIA-H variations originate from intrinsic mAb properties. We address two gaps: comparative ARIA-H risk stratification among clinically available/investigational mAbs, and elucidation of structural/functional features influencing ARIA-H susceptibility.
Methods:
A systematic comparison of seven mAbs (donanemab, aducanumab, bapineuzumab, lecanemab, gantenerumab, crenezumab, solanezumab) was conducted, analyzing clinical trial data and molecular characteristics.
Results:
ARIA-H incidence ranked as follows (highest to lowest): donanemab > aducanumab > bapineuzumab > lecanemab > gantenerumab > crenezumab > solanezumab. Five mAb-specific determinants emerged: (1) Types of Aβ Binding: Enhanced clearance of mature amyloid plaques correlated with elevated ARIA-H risk. (2) Polymer binding Affinity: Reduced small oligomer-binding capacity predicted higher ARIA-H incidence. (3) Epitope location: N-terminal-targeting mAbs showed greater ARIA-H incidence vs. mid/C-terminal binders. (4) Fc region structure: IgG4-based constructs showed higher ARIA-H incidence than IgG1 analogs. (5) Clearance kinetics: Rapid attainment of amyloid reduction thresholds amplified ARIA-H incidence.
Discussion:
We identify a risk hierarchy for ARIA-H among anti-Aβ mAbs and link specific mAb biophysical properties-Aβ binding type, affinity for soluble oligomers, epitope specificity, Fc structure, and plaque clearance dynamics-directly to ARIA-H pathogenesis.
Conclusion:
These findings establish a mechanistic framework for ARIA-H risk and provide concrete molecular predictors to guide antibody engineering strategies. Prioritizing mAbs with controlled amyloid clearance, C-terminal binding domains, and IgG1 frameworks may enhance therapeutic safety, advancing precision immunotherapy for Alzheimer's disease.
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