{"doi":"10.2147/nss.s363437","title":"Simulated Night- Shift Schedule Disrupts the Plasma Lipidome and Reveals Early Markers of Cardiovascular Disease Risk","abstract":"Introduction: The circadian system coordinates daily rhythms in lipid metabolism, storage and utilization. Disruptions of internal circadian rhythms due to altered sleep/wake schedules, such as in night-shift work, have been implicated in increased risk of cardiovascular disease and metabolic disorders. To determine the impact of a night-shift schedule on the human blood plasma lipidome, an in-laboratory simulated shift work study was conducted. Methods: Fourteen healthy young adults were assigned to 3 days of either a simulated day or night-shift schedule, followed by a 24-h constant routine protocol with fixed environmental conditions, hourly isocaloric snacks, and constant wakefulness to investigate endogenous circadian rhythms. Blood plasma samples collected at 3-h intervals were subjected to untargeted lipidomics analysis. Results: More than 400 lipids were identified and quantified across 21 subclasses. Focusing on lipids with low between-subject variation per shift condition, alterations in the circulating plasma lipidome revealed generally increased mean triglyceride levels and decreased mean phospholipid levels after night-shift relative to day-shift. The circadian rhythms of triglycerides containing odd chain fatty acids peaked earlier during constant routine after night-shift. Regardless of shift condition, triglycerides tended to either peak or be depleted at 16:30 h, with chain-specific differences associated with the direction of change. Discussion: The simulated night-shift schedule was associated with altered temporal patterns in the lipidome. This may be premorbid to the elevated cardiovascular risk that has been found epidemiologically in night-shift workers.","journal":"Nature and Science of Sleep","year":2022,"id":270280,"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":14,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9522,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":237663,"name":"Lisa Bramer","orcid":"0000-0002-8384-1926","position":1,"is_corresponding":false},{"id":934046,"name":"Daniel Claborne","orcid":"0000-0001-5293-3628","position":2,"is_corresponding":false},{"id":237664,"name":"Kelly G. Stratton","orcid":"0000-0002-1721-9688","position":3,"is_corresponding":false},{"id":362137,"name":"Kent Bloodsworth","orcid":"0000-0002-7596-1565","position":4,"is_corresponding":false},{"id":638040,"name":"Justin Teeguarden","orcid":"0000-0003-3817-4391","position":5,"is_corresponding":false},{"id":339527,"name":"Shobhan Gaddameedhi","orcid":"0000-0002-4978-6951","position":6,"is_corresponding":false},{"id":12782,"name":"Thomas Metz","orcid":"0000-0001-6049-3968","position":7,"is_corresponding":false},{"id":199450,"name":"Hans PA Van Dongen","orcid":"0000-0002-4678-2971","position":8,"is_corresponding":false},{"id":261969,"name":"Jennifer Kyle","orcid":"0000-0002-9282-9005","position":0,"is_corresponding":true}],"reference_count":59,"raw_metadata":null,"created_at":"2026-07-19T00:27:26.772098Z","pmid":"35645584","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":[]}