{"doi":"10.1002/alz.70900","title":"Longitudinal plasma proteomics: relation to incident Alzheimer's disease dementia and biomarkers","abstract":"INTRODUCTION: We investigated whether longitudinal changes in plasma proteins were associated with baseline cognitive stages related to Alzheimer's disease (AD), their progression, and AD biomarkers. METHODS: We analyzed longitudinal proteomics (SomaScan 7K) data (N = 347) from the Indiana AD Research Center using linear mixed-effects models for associations with baseline cognitive stages, AD dementia (ADD) conversion, and AD imaging/plasma biomarkers, followed by machine learning analysis to evaluate predictive performance for incident ADD. RESULTS: Our analysis identified two proteins (ACES and IGFALS) associated with baseline diagnosis stages and six proteins (ACES, C7, ZCD1, IL-17C, CC055, and SO5A1) associated with incident ADD. Longitudinal changes of the identified proteins were also associated with AD imaging/plasma biomarkers. The inclusion of longitudinal protein changes yielded an AUC of 84.8% for predicting incident ADD. CONCLUSION: Our findings showed molecular signatures for AD progression and the potential of dynamic changes in plasma proteins as biomarkers for predicting incident ADD. HIGHLIGHTS: Changes in plasma ACES and IGFALS linked to baseline AD cognitive stages Changes in ACES, C7, ZCD1, IL-17C, CC055, and SO5A1 associated with incident ADD Changes in those proteins correlated with baseline AD imaging and plasma biomarkers Proteomics model achieved 84.8% AUC-ROC in predicting incident ADD.","journal":"Alzheimer s & Dementia","year":2025,"id":535410,"datarank":0.16479184330021646,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"self_citation_contribution":0.16479184330021646,"citation_network_contribution":0.0,"self_endowment_contribution":0.16479184330021646,"citer_contribution":0.0,"corpus_percentile":29.844511487584125,"corpus_rank":8690,"citation_count":2,"citer_count":2,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.635,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":4.1667,"fair_percentile":4.891470498318557,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1220247,"name":"Yen‐Ning Huang","orcid":null,"position":1,"is_corresponding":false},{"id":1220245,"name":"Tamina Park","orcid":null,"position":2,"is_corresponding":false},{"id":620207,"name":"Shiwei Liu","orcid":"0000-0002-6766-7518","position":3,"is_corresponding":false},{"id":1067915,"name":"Nicholas K. Adzibolosu","orcid":"0000-0002-3829-5786","position":4,"is_corresponding":false},{"id":1219729,"name":"Soumilee Chaudhuri","orcid":"0000-0002-8488-6114","position":5,"is_corresponding":false},{"id":295078,"name":"Changgee Chang","orcid":"0000-0003-3426-1295","position":6,"is_corresponding":false},{"id":789797,"name":"Paula J. Bice","orcid":"0000-0001-5357-9966","position":7,"is_corresponding":false},{"id":230948,"name":"Jeffrey L. Dage","orcid":"0000-0002-2192-1699","position":8,"is_corresponding":false},{"id":479734,"name":"Jared R. Brosch","orcid":"0000-0002-6578-0584","position":9,"is_corresponding":false},{"id":324302,"name":"Sujuan Gao","orcid":"0000-0002-6741-6380","position":10,"is_corresponding":false},{"id":278826,"name":"Liana G. Apostolova","orcid":"0000-0003-1823-2451","position":11,"is_corresponding":false},{"id":244992,"name":"Donna M. Wilcock","orcid":"0000-0003-3388-1564","position":12,"is_corresponding":false},{"id":53156,"name":"Shannon L. Risacher","orcid":"0000-0002-3304-7943","position":13,"is_corresponding":false},{"id":27595,"name":"Andrew J. Saykin","orcid":"0000-0002-1376-8532","position":14,"is_corresponding":false},{"id":285082,"name":"Taeho Jo","orcid":"0000-0001-7448-9433","position":15,"is_corresponding":false},{"id":53300,"name":"Kwangsik Nho","orcid":"0000-0002-7624-3872","position":16,"is_corresponding":false},{"id":304762,"name":"Eun Hye Lee","orcid":"0000-0001-8090-6571","position":0,"is_corresponding":true}],"reference_count":38,"raw_metadata":null,"created_at":"2026-07-19T02:51:56.297114Z","pmid":"41246827","pmcid":"PMC12621001","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":22.2222,"fair_a":18.75,"fair_i":0.0,"fair_r":25.0,"fair_zscore":-1.1986,"fair_rationale":{"fair_score":4.17,"has_llm":true,"taxonomy_version":"fair_taxonomy_v5","dimensions":{"F":{"name":"Findable","score":22.22,"criteria":[{"key":"f_dataset_pid","label":"Persistent identifier for the data","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No persistent identifier string (DOI, accession, etc.) is provided for the dataset.","anchors":["RDA-F1-01D — FAIR Data Maturity Model: 'Data is identified by a persistent identifier' (priorit","RDA-F1-02D — FAIR Data Maturity Model: 'Data is identified by a globally unique identifier'","FsF-F1-02D — F-UJI/FAIRsFAIR: 'Data is assigned a persistent identifier'"],"scored":true,"signal":null},{"key":"f_repository_named","label":"Named repository","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No repository is named; the data are held by the corresponding author.","anchors":["RDA-F4-01M — FAIR Data Maturity Model: metadata is offered so it can be harvested and indexed (","NIH DMS Policy Element 4 (NOT-OD-21-014) — name the repository where data will be archived","NSTC Desirable Characteristics of Data Repositories (2022) — 'Long-Term Sustainability', 'Reten"],"scored":true,"signal":null},{"key":"f_data_availability_statement","label":"Data-availability statement","kind":"llm","weight":2.0,"fraction":0.5,"verdict":"partial","evidence":"The IADRC dataset used and analyzed in this study will be provided by the corresponding author upon approval request.","grounded":true,"rationale":"The statement points to a person (author request) rather than a repository record, corresponding to Colavizza category 1.","anchors":["Colavizza, Hrynaszkiewicz, Staden, Whitaker & McGillivray (2020), 'The citation advantage of li","Springer Nature research data policy — Data Availability Statements: standard statement templat","RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes"],"scored":false,"signal":null},{"key":"f_discovery_metadata","label":"Description of the dataset as an object","kind":"llm","weight":2.0,"fraction":0.5,"verdict":"partial","evidence":"The final dataset comprised 7181 aptamers mapping to 6301 unique proteins.","grounded":true,"rationale":"The dataset content is described in running prose, not in an itemized inventory (section, table, or list). 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