Magnetic resonance imaging‐negative cerebral amyloid angiopathy: cerebrospinal fluid amyloid‐β₄₂ over amyloid positron emission tomography

Abstract Background Cerebral amyloid angiopathy (CAA) pathology is becoming increasingly important in Alzheimer’s disease (AD) because of its potential link to amyloid‐related imaging abnormalities, a critical side effect observed during AD immunotherapy. Identification of CAA without typical magnetic resonance imaging (MRI) markers (MRI‐negative CAA) is challenging, and novel detection biomarkers are needed. Method We included 69 participants with high neuritic plaques (NP) burden, with and without CAA pathology (NP with CAA vs. NP without CAA) based on autopsy data from the Alzheimer’s Disease Neuroimaging Initiative. Two participants with hemorrhagic CAA markers based on MRI were excluded and the final analysis involved 36 NP without CAA and 31 NP with CAA. A logistic regression model was used to compare the cerebrospinal fluid (CSF) amyloid‐β 42 (Aβ 42 ), phosphorylated tau 181 , and total tau levels, the amyloid positron emission tomography (PET) standardized uptake ratio (SUVR), and cognitive profiles between NP with and without CAA. Regression models for CSF and PET were adjusted for age at death, sex, and the last assessed clinical dementia rating sum of boxes score. Models for cognitive performances was adjusted for age at death, sex, and education level. Result NP with CAA had significantly lower CSF Aβ 42 levels when compared with those without CAA (110.5 pg/mL vs. 134.5 pg/mL, p‐value = 0.002). Logistic regression analysis revealed that low CSF Aβ 42 levels were significantly associated with NP with CAA (odds ratio [OR]: 0.957, 95% confidence interval [CI]: 0.928, 0.987, p‐value = 0.005). However, amyloid PET SUVR did not differ between NP with CAA and those without CAA (1.39 vs. 1.48, p‐value = 0.666). Logistic regression model analysis did not reveal an association between amyloid PET SUVR and NP with CAA (OR: 0.360, 95% CI: 0.007, 1.741, p‐value = 0.606). Conclusion CSF Aβ 42 is more sensitive to predict MRI‐negative CAA in high NP burden than amyloid PET.