{"doi":"10.1101/2025.04.27.25326360","title":"Plasma biomarkers identify brain ATN abnormalities in a dementia-free population-based cohort","abstract":"INTRODUCTION: Using the ATN framework, we evaluated the potential of plasma biomarkers to identify abnormal brain amyloid-beta (Aβ) positron emission tomography (PET), tau-PET and neurodegeneration in a socioeconomically disadvantaged population-based cohort. METHODS: Community-dwelling dementia-free (n=113, including 102 (91%) cognitively normal) participants underwent ATN neuroimaging and plasma biomarker assessments. RESULTS: respectively [p-values<0.05]), with p-tau217 demonstrating the highest classification accuracy for Aβ-PET status (AUC=0.94). Plasma p-tau181 and p-tau217 showed significant associations with tau-PET status (AOR: 1.50 and 22.24, respectively, p-values<0.05), with comparable classification accuracies for tau-PET status (AUC=0.74 and 0.70, respectively). Only plasma NfL showed significant association with neurodegeneration based on cortical thickness (AOR=1.09, p-value<0.05). CONCLUSION: Our findings highlight potential of plasma p-tau217 as a biomarker for brain Aβ and tau pathophysiology, p-tau181 for tau abnormalities, and NfL for neurodegeneration in the community.","journal":"medRxiv","year":2025,"id":557693,"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":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.6318,"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":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":805699,"name":"Pâmela C.L. Ferreira","orcid":"0000-0003-2134-9829","position":1,"is_corresponding":false},{"id":1458183,"name":"Akshay Prasadan","orcid":null,"position":2,"is_corresponding":false},{"id":1241111,"name":"Jihui L. Diaz","orcid":null,"position":3,"is_corresponding":false},{"id":518875,"name":"Xuemei Zeng","orcid":"0000-0003-4885-4788","position":4,"is_corresponding":false},{"id":805700,"name":"Bruna Bellaver","orcid":"0000-0002-2212-3373","position":5,"is_corresponding":false},{"id":805703,"name":"Guilherme Povala","orcid":"0000-0002-2023-6569","position":6,"is_corresponding":false},{"id":236168,"name":"Victor L. Villemagne","orcid":"0000-0002-5832-9875","position":7,"is_corresponding":false},{"id":544014,"name":"M. Ilyas Kamboh","orcid":"0000-0002-3453-1438","position":8,"is_corresponding":false},{"id":329924,"name":"Ann D. Cohen","orcid":"0000-0001-7395-9624","position":9,"is_corresponding":false},{"id":272069,"name":"Tharick A. Pascoal","orcid":"0000-0001-9057-8014","position":10,"is_corresponding":false},{"id":251490,"name":"Mary Ganguli","orcid":"0000-0003-2762-7105","position":11,"is_corresponding":false},{"id":251492,"name":"Beth E. Snitz","orcid":"0000-0002-9978-1374","position":12,"is_corresponding":false},{"id":703888,"name":"C. Elizabeth Shaaban","orcid":"0000-0002-3016-1951","position":13,"is_corresponding":false},{"id":241105,"name":"Thomas K. Karikari","orcid":"0000-0003-1422-4358","position":14,"is_corresponding":false},{"id":1457808,"name":"Menayit Tamrat Dresse","orcid":"0000-0003-4830-8242","position":0,"is_corresponding":true}],"reference_count":64,"raw_metadata":null,"created_at":"2026-07-19T02:55:21.727661Z","pmid":"40343022","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":[]}