{"doi":"10.1002/alz.70397","title":"Impact of kidney function on biomarkers of neurodegeneration, white matter hyperintensities, and cognition in older adults","abstract":"BACKGROUND: We evaluated the association between kidney function, neurodegenerative biomarkers (i.e., neurofilament light chain [NfL], total tau [t-tau], and glial fibrillary acidic protein [GFAP]), white matter hyperintensities, and global cognition. METHODS: The study consisted of 1207 participants living on the south side of Chicago, Illinois, enrolled in the Chicago Health and Aging Project, a population-based cohort since 1993. Kidney function was assessed using the estimated glomerular filtration rate (eGFRcr), calculated according to the 2021 Chronic Kidney Disease Epidemiology (CKD-EPI) based on age, sex, and serum creatinine levels. RESULTS: In a multivariable-adjusted model, lower levels of eGFRcr were associated with higher levels of biomarkers of neurodegeneration. Specifically, for a 1-SD decrease of eGFRcr, there was a 22% increase in NfL levels in serum. eGFRcr levels were not associated with white matter hyperintensities or global cognition. DISCUSSION: Kidney function may be considered when interpreting NfL, GFAP, and t-tau levels for risk stratification in research and clinical applications. HIGHLIGHTS: Kidney function is associated with higher neurfilament light chain (NfL), total tau (t-tau), and glial fibrillary acidic protein (GFAP) serum concentrations, while there was no association with white matter hyperintensities or global cognition. Individuals with severely impaired kidney function had 146.7% higher serum concentrations of NfL when compared to people with normal kidney function. This study suggests assessing kidney function in older adults when interpreting NfL, GFAP, and t-tau levels in the serum for risk stratification.","journal":"Alzheimer s & Dementia","year":2025,"id":527175,"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":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8248,"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":277082,"name":"Charles DeCarli","orcid":"0000-0003-1914-2693","position":1,"is_corresponding":false},{"id":38611,"name":"Klodian Dhana","orcid":"0000-0002-6397-7009","position":2,"is_corresponding":false},{"id":668400,"name":"Pankaja Desai","orcid":"0000-0002-0904-5905","position":3,"is_corresponding":false},{"id":844214,"name":"Kristin R. Krueger","orcid":"0000-0001-6388-4083","position":4,"is_corresponding":false},{"id":1373619,"name":"Kyle Dennis","orcid":null,"position":5,"is_corresponding":false},{"id":894350,"name":"Ted Kheng Siang Ng","orcid":"0000-0001-7348-0410","position":6,"is_corresponding":false},{"id":280507,"name":"Denis A. Evans","orcid":"0000-0003-4755-5401","position":7,"is_corresponding":false},{"id":280508,"name":"Kumar B. Rajan","orcid":"0000-0003-1268-4617","position":8,"is_corresponding":false},{"id":844215,"name":"Anisa Dhana","orcid":"0000-0001-5073-8669","position":0,"is_corresponding":true}],"reference_count":41,"raw_metadata":null,"created_at":"2026-07-19T02:50:39.280101Z","pmid":"41085221","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":[]}