{"doi":"10.1002/alz.13823","title":"Assessment of brain‐derived extracellular vesicle enrichment for blood biomarker analysis in age‐related neurodegenerative diseases: An international overview","abstract":"INTRODUCTION: Brain-derived extracellular vesicles (BEVs) in blood allows for minimally-invasive investigations of central nervous system (CNS) -specific markers of age-related neurodegenerative diseases (NDDs). Polymer-based EV- and immunoprecipitation (IP)-based BEV-enrichment protocols from blood have gained popularity. We systematically investigated protocol consistency across studies, and determined CNS-specificity of proteins associated with these protocols. METHODS: NDD articles investigating BEVs in blood using polymer-based and/or IP-based BEV enrichment protocols were systematically identified, and protocols compared. Proteins used for BEV-enrichment and/or post-enrichment were assessed for CNS- and brain-cell-type-specificity, extracellular domains (ECD+), and presence in EV-databases. RESULTS: A total of 82.1% of studies used polymer-based (ExoQuick) EV-enrichment, and 92.3% used L1CAM for IP-based BEV-enrichment. Centrifugation times differed across studies. A total of 26.8% of 82 proteins systematically identified were CNS-specific: 50% ECD+, 77.3% were listed in EV-databases. CONCLUSIONS: We identified protocol steps requiring standardization, and recommend additional CNS-specific proteins that can be used for BEV-enrichment or as BEV-biomarkers. HIGHLIGHTS: Across NDDs, we identified protocols commonly used for EV/BEV enrichment from blood. We identified protocol steps showing variability that require harmonization. We assessed CNS-specificity of proteins used for BEV-enrichment or found in BEV cargo. CNS-specific EV proteins with ECD+ or without were identified. We recommend evaluation of blood-BEV enrichment using these additional ECD+ proteins.","journal":"Alzheimer s & Dementia","year":2024,"id":421948,"datarank":0.5050943744979712,"base_score":3.367295829986474,"endowment":3.367295829986474,"self_citation_contribution":0.5050943744979712,"citation_network_contribution":0.0,"self_endowment_contribution":0.5050943744979712,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":28,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9597,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1167790,"name":"Yael Hirschberg","orcid":"0000-0001-7810-9303","position":1,"is_corresponding":false},{"id":1215446,"name":"Natalia Valle‐Tamayo","orcid":null,"position":2,"is_corresponding":false},{"id":338699,"name":"M. Florencia Iulita","orcid":"0000-0002-3360-4498","position":3,"is_corresponding":false},{"id":1004333,"name":"Chinedu Udeh‐Momoh","orcid":"0000-0002-7357-4692","position":4,"is_corresponding":false},{"id":392423,"name":"Anna Matton","orcid":"0000-0002-7819-0495","position":5,"is_corresponding":false},{"id":67065,"name":"Rawan Tarawneh","orcid":"0000-0002-7328-9568","position":6,"is_corresponding":false},{"id":230262,"name":"Robert A. Rissman","orcid":"0000-0001-9245-8278","position":7,"is_corresponding":false},{"id":305911,"name":"Aurélie Ledreux","orcid":"0000-0001-6232-7672","position":8,"is_corresponding":false},{"id":459243,"name":"Charisse N. Winston","orcid":"0000-0002-1966-9252","position":9,"is_corresponding":false},{"id":875310,"name":"Arsalan S. Haqqani","orcid":"0000-0003-2454-8989","position":10,"is_corresponding":false},{"id":490334,"name":"AmanPreet Badhwar","orcid":"0000-0003-3414-3395","position":0,"is_corresponding":true}],"reference_count":63,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T01:57:41.370244Z","pmid":"38864416","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":[]}