Relevance of plasma biomarkers to imaging biomarkers

Background Recent advances in blood-based biomarkers have shown promising abilities to estimate brain pathological statuses related amyloid-β (Aβ) deposition, phosphorylated tau and neurodegeneration using minimally invasive methods. The objective of this study was evaluate the potential ATN classification, by analyzing relevance plasma imaging biomarkers. Method There were 161 subjects, consisting 62 cognitively normal (CN), 13 MCI, 40 Alzheimer’s dementia (AD) 46 non-Alzheimer’s (non-AD) individuals. Plasma Aβ composite biomarker measured immunoprecipitation-mass spectrometry assay combining ratios APP669-711/Aβ1-42 Aβ1-40/Aβ1-42. levels p-tau 181, glial fibrillary acidic protein (GFAP) neurofilament light (NfL) SimoaⓇ platform. PiB-PET, THK5351-PET, FDG-PET structural MRI images, their representative semiquantitative values; PiB-SUVR, THK-SUVR, scores (representing degree AD-like glucose hypometabolism), VSRAD® medial temporal atrophy), respectively, used analyze relationships with Result ROC analyses showed that AUCs composite, GFAP NfL discriminate status (PiB-positive vs. negative) 0.934, 0.835, 0.720 0.583, respectively. Whereas those clinical (CN/MCI dementia) 0.649, 0.655, 0.800 0.803, Correlations PiB-SUVR stronger (r = 0.657) 181 0.551). Both higher correlations THK-SUVR 0.444 0.416, respectively), 0.533 0.541, respectively) compared other VSRAD only significant 0.319). also highest correlation MMSE -0.583) (all above r values p < 0.001). These results supported multiple regression between each data SPM8 adjusting for age sex. Conclusion demonstrated reasonable biomarkers, suggesting utility classification. are expected reflect different aspects like MRI.