{"doi":"10.1002/dad2.12033","title":"Proteomic profiles of incident mild cognitive impairment and Alzheimer's disease among adults with Down syndrome","abstract":"Introduction We sought to determine if proteomic profiles could predict risk for incident mild cognitive impairment (MCI) and Alzheimer's disease (AD) among adults with Down syndrome (DS). Methods In a cohort of 398 adults with DS, a total of n = 186 participants were determined to be non-demented and without MCI or AD at baseline and throughout follow-up; n = 103 had incident MCI and n = 81 had incident AD. Proteomics were conducted on banked plasma samples from a previously generated algorithm. Results The proteomic profile was highly accurate in predicting incident MCI (area under the curve [AUC] = 0.92) and incident AD (AUC = 0.88). For MCI risk, the support vector machine (SVM)-based high/low cut-point yielded an adjusted hazard ratio (HR) = 6.46 (P < .001). For AD risk, the SVM-based high/low cut-point score yielded an adjusted HR = 8.4 (P < .001). Discussion The current results provide support for our blood-based proteomic profile for predicting risk for MCI and AD among adults with DS.","journal":"Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring","year":2020,"id":83889,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":11,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9066,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":412178,"name":"Fan Zhang","orcid":"0000-0003-4692-0526","position":1,"is_corresponding":false},{"id":270472,"name":"Wayne Silverman","orcid":"0000-0002-7842-8600","position":2,"is_corresponding":false},{"id":270463,"name":"Joseph H. Lee","orcid":"0000-0002-2000-4821","position":3,"is_corresponding":false},{"id":270468,"name":"Sharon J. Krinsky‐McHale","orcid":"0000-0002-7205-7319","position":4,"is_corresponding":false},{"id":324422,"name":"Deborah Pang","orcid":null,"position":5,"is_corresponding":false},{"id":326972,"name":"James Hall","orcid":"0000-0002-8153-1537","position":6,"is_corresponding":false},{"id":266059,"name":"Nicole Schupf","orcid":"0000-0001-7560-7657","position":7,"is_corresponding":false},{"id":270462,"name":"Sid E. O’Bryant","orcid":"0000-0003-0582-5266","position":0,"is_corresponding":true}],"reference_count":51,"raw_metadata":null,"created_at":"2026-07-18T21:54:32.422022Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}