{"doi":"10.1038/s41562-024-01924-6","title":"Multiplex cerebrospinal fluid proteomics identifies biomarkers for diagnosis and prediction of Alzheimer’s disease","abstract":null,"journal":"Nature Human Behaviour","year":2024,"id":654485,"datarank":0.637274286307404,"base_score":4.248495242049359,"endowment":4.248495242049359,"self_citation_contribution":0.637274286307404,"citation_network_contribution":0.0,"self_endowment_contribution":0.637274286307404,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":69,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":578555,"name":"Shi-Dong Chen","orcid":"0000-0002-1114-622X","position":1,"is_corresponding":false},{"id":1391637,"name":"Jia You","orcid":"0000-0002-7079-8041","position":2,"is_corresponding":false},{"id":66111,"name":"Shu-Yi Huang","orcid":"0000-0002-3522-0500","position":3,"is_corresponding":false},{"id":507235,"name":"Yi-Lin Chen","orcid":null,"position":4,"is_corresponding":false},{"id":700554,"name":"Yi Zhang","orcid":"0009-0002-1010-9205","position":5,"is_corresponding":false},{"id":578754,"name":"Linbo Wang","orcid":"0000-0002-6982-103X","position":6,"is_corresponding":false},{"id":1682780,"name":"Xiao-Yu He","orcid":null,"position":7,"is_corresponding":false},{"id":1682775,"name":"Yue-Ting Deng","orcid":"0000-0002-9962-7860","position":8,"is_corresponding":false},{"id":650485,"name":"Ya-Ru Zhang","orcid":null,"position":9,"is_corresponding":false},{"id":1708101,"name":"Yu-Yuan Huang","orcid":null,"position":10,"is_corresponding":false},{"id":291632,"name":"Qiang Dong","orcid":"0000-0002-3874-0130","position":11,"is_corresponding":false},{"id":334370,"name":"Jianfeng Feng","orcid":"0000-0001-5987-2258","position":12,"is_corresponding":false},{"id":316788,"name":"Wei Cheng","orcid":"0000-0003-1118-1743","position":13,"is_corresponding":false},{"id":590342,"name":"Jin‐Tai Yu","orcid":"0000-0002-2532-383X","position":14,"is_corresponding":false},{"id":1085725,"name":"Yu Guo","orcid":"0009-0003-7024-9426","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Multiplex cerebrospinal fluid proteomics identifies biomarkers for diagnosis and prediction of Alzheimer’s disease","abstract":"Recent expansion of proteomic coverage opens unparalleled avenues to unveil new biomarkers of Alzheimer's disease (AD). Among 6,361 cerebrospinal fluid (CSF) proteins analysed from the ADNI database, YWHAG performed best in diagnosing both biologically (AUC = 0.969) and clinically (AUC = 0.857) defined AD. Four- (YWHAG, SMOC1, PIGR and TMOD2) and five- (ACHE, YWHAG, PCSK1, MMP10 and IRF1) protein panels greatly improved the accuracy to 0.987 and 0.975, respectively. Their superior performance was validated in an independent external cohort and in discriminating autopsy-confirmed AD versus non-AD, rivalling even canonical CSF ATN biomarkers. Moreover, they effectively predicted the clinical progression to AD dementia and were strongly associated with AD core biomarkers and cognitive decline. Synaptic, neurogenic and infectious pathways were enriched in distinct AD stages. Mendelian randomization did not support the significant genetic link between CSF proteins and AD. Our findings revealed promising high-performance biomarkers for AD diagnosis and prediction, with implications for clinical trials targeting different pathomechanisms.","is_dataset_classified":null,"base_score":4.189654742026425,"endowment":4.189654742026425,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"38987357","pmcid":null,"openalex_id":"https://openalex.org/W4400503111","authors":[],"funders":[{"funder_name":"National Institutes of Health","grant_id":"1U01AG024904-01","title":"Alzheimers Disease Neuroimaging Initiative"},{"funder_name":"Canadian Institutes of Health Research","grant_id":"unidentified","title":"unidentified"}],"total_grants":2,"fwci":15.4556,"citation_percentile":0.99440824,"influential_citations":0,"citation_trend":[{"year":2024,"count":7},{"year":2025,"count":30},{"year":2026,"count":28}],"oa_status":"closed","license":"Springer Nature TDM","oa_locations":[{"url":"https://www.nature.com/articles/s41562-024-01924-6.pdf","host_type":"publisher"},{"url":"https://www.nature.com/articles/s41562-024-01924-6","host_type":"publisher"},{"url":"https://doi.org/10.1038/s41562-024-01924-6","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/38987357","host_type":"repository"}],"fields_of_study":["Alzheimer's disease research and treatments","Dementia and Cognitive Impairment Research","Health, Environment, Cognitive Aging","0303 health sciences","03 medical and health sciences","Humans","Alzheimer Disease","Biomarkers","Proteomics","Aged","Male","Female","Aged, 80 and over","Disease Progression","Cerebrospinal Fluid Proteins"],"mesh_terms":["Aged","Aged, 80 and over","Alzheimer Disease","Cerebrospinal Fluid Proteins","Female","Humans","Male","Biomarkers","Disease Progression","Proteomics"],"keywords":["Multiplex","Proteomics","Cerebrospinal fluid","Disease","Alzheimer's disease","Medicine","Computational biology","Pathology","Bioinformatics","Biology","Genetics","Gene","Male","Aged, 80 and over","Alzheimer Disease","Disease Progression","Humans","Female","Cerebrospinal Fluid Proteins","Biomarkers","Aged"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-11T06:54:27.076897Z","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":[]}