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Therefore, identifying novel proteins to characterize symptomatic AD samples is important.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Proteins were profiled using a multianalyte platform by Rules Based Medicine (MAP\u2010RBM). Due to underlying heterogeneity and unbalanced sample size, we combined subjects (344 AD and 325 CN) from three cohorts: Alzheimer's Disease Neuroimaging Initiative, Penn Center for Neurodegenerative Disease Research of the University of Pennsylvania, and Knight Alzheimer's Disease Research Center at Washington University in St. Louis. We focused on samples whose cognitive and amyloid status was consistent. We performed linear regression (accounted for age, gender, number of apolipoprotein E (<jats:italic>APOE<\/jats:italic>) e4 alleles, and cohort variable) to identify amyloid\u2010related proteins for symptomatic AD subjects in this largest ever CSF\u2013based MAP\u2010RBM study. ANOVA and Tukey's test were used to evaluate if\u00a0these proteins were related to cognitive impairment changes as measured by mini\u2010mental state examination (MMSE).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Seven proteins were significantly associated with A\u03b2<jats:sub>1\u201342<\/jats:sub> levels in the combined cohort (false discovery rate adjusted <jats:italic>P<\/jats:italic> &lt; .05), of which lipoprotein a (Lp(a)), prolactin (PRL), resistin, and vascular endothelial growth factor (VEGF) have consistent direction of associations across every individual cohort. VEGF was strongly associated with MMSE scores, followed by pancreatic polypeptide and immunoglobulin A (IgA), suggesting they may be related to staging of AD.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>Lp(a), PRL, IgA, and tissue factor\/thromboplastin have never been reported for AD diagnosis in previous individual CSF\u2013based MAP\u2010RBM studies. Although some of our reported analytes are related to AD pathophysiology, other's roles in symptomatic AD samples worth further explorations.<\/jats:p><\/jats:sec>","DOI":"10.1016\/j.dadm.2015.06.008","type":"journal-article","created":{"date-parts":[[2015,8,1]],"date-time":"2015-08-01T09:08:37Z","timestamp":1438420117000},"page":"339-348","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["Identifying amyloid pathology\u2013related cerebrospinal fluid biomarkers for Alzheimer's disease in a multicohort study"],"prefix":"10.1002","volume":"1","author":[{"given":"Yuk Yee","family":"Leung","sequence":"first","affiliation":[{"name":"Department of Pathology &amp; Laboratory Medicine Institute on Aging, Institute for Biomedical Informatics, Perelman School of Medicine at the University of Pennsylvania Philadelphia PA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jon 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