{"doi":"10.1101/2025.09.19.25336183","title":"Cross-sectional associations between lifecourse dementia risk factors, plasma neurodegenerative biomarkers, and cognition in older adults in India","abstract":"BACKGROUND: Plasma neurodegenerative biomarkers are a potential low-cost tool for studying Alzheimer's disease and dementia in population-based research, especially in low- and middle-income countries (LMIC). However, their associations with modifiable risk factors and utility as an outcome in epidemiologic studies remain unclear. OBJECTIVE: Our objective was to estimate the cross-sectional association between modifiable lifecourse risk factors for dementia and plasma-based neurodegenerative biomarkers, and to compare those with the associations between lifecourse risk factors and cognition in a population-representative Indian sample. METHODS: Using nationally representative data from the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (N=1625, average age 68.2 years), we estimated linear regressions to compare cross-sectional associations between lifecourse risk factors and both neurodegenerative biomarkers (β-amyloid 42/40, total-tau, phosphorylated Tau181, GFAP, NfL) and cognitive outcomes (general cognition, memory). RESULTS: Despite significant associations between seven of thirteen risk factors and cognitive outcomes, associations between risk factors and neurodegenerative biomarkers were largely null with some exceptions; for example, hypertension (β=0.17SD; 95% CI:0.08,0.26) and diabetes (β=0.21SD; 95% CI:0.09, 0.32) were associated with higher NfL. CONCLUSIONS: While we found expected associations between lifecourse risk factors for dementia and cognition, there was not strong evidence of cross-sectional associations between risk factors for dementia and plasma-based biomarkers.","journal":"medRxiv","year":2025,"id":575688,"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":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.936,"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":322305,"name":"Alden L. Gross","orcid":"0000-0002-4678-0562","position":1,"is_corresponding":false},{"id":562030,"name":"Leon Aksman","orcid":"0000-0003-2342-0780","position":2,"is_corresponding":false},{"id":1394078,"name":"Masroor Anwar","orcid":"0000-0001-7529-7388","position":3,"is_corresponding":false},{"id":256213,"name":"Eileen M. Crimmins","orcid":"0000-0001-5459-5239","position":4,"is_corresponding":false},{"id":1130042,"name":"Sharmistha Dey","orcid":"0000-0003-4122-7415","position":5,"is_corresponding":false},{"id":1483921,"name":"Abhishek Gupta","orcid":"0000-0003-1056-8479","position":6,"is_corresponding":false},{"id":303810,"name":"Bharat Thyagarajan","orcid":"0000-0001-6968-6985","position":7,"is_corresponding":false},{"id":626466,"name":"Jinkook Lee","orcid":"0000-0002-6209-719X","position":8,"is_corresponding":false},{"id":61294,"name":"Emma Nichols","orcid":"0000-0002-9005-3872","position":9,"is_corresponding":false},{"id":1146224,"name":"Sarah Gao","orcid":"0000-0001-5497-9638","position":0,"is_corresponding":true}],"reference_count":43,"raw_metadata":null,"created_at":"2026-07-19T02:57:52.712371Z","pmid":"41001466","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":[]}