{"doi":"10.1007/s11910-025-01451-5","title":"Sleep Abnormalities and Risk of Alzheimer’s Disease","abstract":"<jats:title>Abstract</jats:title>\n          <jats:sec>\n            <jats:title>Purpose of Review</jats:title>\n            <jats:p>This review aimed at investigating sleep abnormalities as risk factors for Alzheimer’s disease (AD), with a focus on their potential utility in early disease detection and risk modification.</jats:p>\n          </jats:sec>\n          <jats:sec>\n            <jats:title>Recent Findings</jats:title>\n            <jats:p>Impaired sleep quality, circadian misalignment, and disruptions in sleep architecture are significantly associated with an elevated risk of AD. Moreover, excessive or insufficient sleep, reductions in slow-wave and REM sleep, and fragmented rest-activity rhythms have been linked to early alterations in amyloid-β and tau biomarkers, even in cognitively unimpaired individuals. Various sleep disorders have also been identified as independent contributors to AD risk, particularly among genetically susceptible populations.</jats:p>\n          </jats:sec>\n          <jats:sec>\n            <jats:title>Summary</jats:title>\n            <jats:p>Sleep and circadian disturbances, as well as changes in sleep architecture, represent easily detectable and modifiable risk factors for Alzheimer’s disease. Integrating sleep and sleep-based metrics into preventive strategies may enhance early identification and offer novel avenues for intervention, modulating the risk of Alzheimer’s disease.</jats:p>\n          </jats:sec>","journal":"Current Neurology and Neuroscience Reports","year":2025,"id":625802,"datarank":0.32958368660043297,"base_score":2.1972245773362196,"endowment":2.1972245773362196,"self_citation_contribution":0.32958368660043297,"citation_network_contribution":0.0,"self_endowment_contribution":0.32958368660043297,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":8,"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":934958,"name":"Qi Tang","orcid":"0009-0004-7166-7854","position":1,"is_corresponding":false},{"id":301067,"name":"Ambra Stefani","orcid":"0000-0003-4259-8824","position":2,"is_corresponding":false},{"id":1497781,"name":"Merve Aktan Süzgün","orcid":"0000-0002-0332-8453","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Sleep Abnormalities and Risk of Alzheimer’s Disease","abstract":"<jats:title>Abstract</jats:title>\n          <jats:sec>\n            <jats:title>Purpose of Review</jats:title>\n            <jats:p>This review aimed at investigating sleep abnormalities as risk factors for Alzheimer’s disease (AD), with a focus on their potential utility in early disease detection and risk modification.</jats:p>\n          </jats:sec>\n          <jats:sec>\n            <jats:title>Recent Findings</jats:title>\n            <jats:p>Impaired sleep quality, circadian misalignment, and disruptions in sleep architecture are significantly associated with an elevated risk of AD. Moreover, excessive or insufficient sleep, reductions in slow-wave and REM sleep, and fragmented rest-activity rhythms have been linked to early alterations in amyloid-β and tau biomarkers, even in cognitively unimpaired individuals. Various sleep disorders have also been identified as independent contributors to AD risk, particularly among genetically susceptible populations.</jats:p>\n          </jats:sec>\n          <jats:sec>\n            <jats:title>Summary</jats:title>\n            <jats:p>Sleep and circadian disturbances, as well as changes in sleep architecture, represent easily detectable and modifiable risk factors for Alzheimer’s disease. Integrating sleep and sleep-based metrics into preventive strategies may enhance early identification and offer novel avenues for intervention, modulating the risk of Alzheimer’s disease.</jats:p>\n          </jats:sec>","is_dataset_classified":null,"base_score":2.0794415416798357,"endowment":2.0794415416798357,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"41082137","pmcid":"PMC12518432","openalex_id":"https://openalex.org/W4415101864","authors":[],"funders":[{"funder_name":"University of Innsbruck and Medical University of Innsbruck","grant_id":"","title":null}],"total_grants":1,"fwci":7.7158,"citation_percentile":0.97582187,"influential_citations":0,"citation_trend":[{"year":2025,"count":1},{"year":2026,"count":6}],"oa_status":"hybrid","license":"cc-by","oa_locations":[{"url":"https://link.springer.com/content/pdf/10.1007/s11910-025-01451-5.pdf","host_type":"journal"},{"url":"https://link.springer.com/content/pdf/10.1007/s11910-025-01451-5.pdf","host_type":"publisher"},{"url":"https://link.springer.com/article/10.1007/s11910-025-01451-5/fulltext.html","host_type":"publisher"},{"url":"https://doi.org/10.1007/s11910-025-01451-5","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/41082137","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12518432","host_type":"repository"},{"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12518432/pdf/11910_2025_Article_1451.pdf","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC12518432","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC12518432?pdf=render","host_type":"Europe_PMC"}],"fields_of_study":["Sleep and related disorders","Sleep and Wakefulness Research","Circadian rhythm and melatonin","Humans","Alzheimer Disease","Sleep Wake Disorders","Risk Factors"],"mesh_terms":["Alzheimer Disease","Humans","Risk Factors","Sleep Wake Disorders"],"keywords":["Sleep (system call)","Circadian rhythm","Disease","Neurology","Sleep architecture","Identification (biology)","Non-rapid eye movement sleep","Sleep Stages","Sleep disorders","AD","Cognitive Decline"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-04T09:55:34.830073Z","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":[]}