The Cerebrospinal Fluid Proteome of Alzheimer’s Disease Patients: Differentiation and Prediction of Responders and Non-Responders to Lymphatic-Venous Anastomosis

化学 蛋白质组 脑脊液 疾病 吻合 病理 蛋白质组学 脑脊液蛋白质类 梅德林 内科学
作者
Yan Li,Anqi Du,Qinghua Zhang,Guangqi Xu,X.G Xu,Xiaoxue Ma,Joey C. H. Chu,Vengatesen Thiyagarajan,Zhaoyan Yu,Ivan K. Chu,K. W. Michael Siu
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:98 (27): 20189-20203
标识
DOI:10.1021/acs.analchem.6c01031
摘要

Herein, we describe the identification of protein biomarkers in the cerebrospinal fluid (CSF) of Alzheimer's disease (AD) patients that enable the differentiation of Responders from Non-Responders to lymphatic-venous anastomosis (LVA). Discovery of these potential biomarkers was achieved by deep proteomic analysis on the pre-LVA cerebrospinal fluid in a cohort of 90 patients. A combination of two CSF processing modalities and two computational platforms allowed us to secure the largest CSF proteome ever reported (6711 proteins identified with 4506 proteins quantified at a false-discovery rate of ≤1%). Importantly, we discovered 16 CSF proteins that are expressed differentially between patients who showed documented improvements after LVA (the Responders) and those who showed no improvements (the Non-Responders). Pairing of two of the best-performing potential biomarkers─NPTX2 and IGSF10─gave an accuracy of 0.790 (AUC = 0.854) in correctly identifying Responders and Non-Responders, which improved to 0.827 (AUC = 0.880) after we added a second pair of classical AD biomarkers─p-tau181 and Aβ42─to the test. We found that the classical ELISA biomarker ratio p-tau181/Aβ42 has, by itself, a marginally acceptable accuracy of 0.644 (AUC = 0.662). Our reported observation (in 2025) of a correlation between elevated p-tau181/Aβ42 and responding to LVA is in accordance with the interpretation that Responders have a higher abundance of NPTX2, which indicates better synaptic health. Apparently, the Responders are more resilient, despite an indication of more advanced pathology. In a simulation of the performance in future testing, we performed a 5-fold cross-validation that gave an AUC of 0.859 ± 0.074 and an accuracy of 0.740 ± 0.048 for the small testing group.
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