A novel approach was applied to screen a panel of ~190 CSF analytes quantified by multiplex immunoassay, and common associations were detected in the Knight Alzheimer鈥檚 Disease Research Center (N = 311) and the Alzheimer鈥檚 Disease Neuroimaging Initiative (N = 293) cohorts. Rather than case-control status, the ratio of CSF levels of tau phosphorylated at threonine 181 (ptau181) and A尾42 was used as a continuous trait in these analyses.
The ptau181-A尾42 ratio has more statistical power than traditional modeling approaches, and the levels of CSF heart-type fatty acid binding protein (FABP) and 12 other correlated analytes increase as AD progresses. These results were validated using the traditional case-control status model. Stratification of the dataset demonstrated that increases in these analytes occur very early in the disease course and were apparent even in nondemented individuals with AD pathology (low ptau181, low A尾42) compared with elderly control subjects with no pathology (low ptau181, high A尾42). The FABP-A尾42 ratio demonstrates a similar hazard ratio for disease conversion to ptau181-A尾42 even though the overlap in classification is incomplete suggesting that FABP contributes independent information as a predictor of AD.
Our results indicate that the approach presented here can be used to identify novel biomarkers for AD correctly and that CSF heart FABP levels start to increase at very early stages of AD.