{"doi":"10.3389/fnut.2024.1472002","title":"Associations between dietary coenzyme Q10 intake and lipid profiles in adults: a national cross-sectional study","abstract":"Objective This study aimed to determine the average intake of CoQ10 from dietary sources and explore the dose–response relationships between the dietary-derived CoQ10 intake and lipid profiles. Methods We performed a cross-sectional study based on the China Health and Nutrition Survey, which included 7,938 adults. The dietary intake assessment used three consecutive 24-h recalls combined with a household inventory. Serum was used for lipid profiling. Results The average dietary-derived CoQ10 intake was 5.4 mg/day in Chinese adults. The dietary CoQ10 intake of the highest quartile (Q4 ≥ 6.96 mg/day) was negatively associated with total cholesterol (TC) [−0.12 (−0.19, −0.06) mmol/L], low-density lipoprotein cholesterol (LDL-C) [−0.17 (−0.23, −0.10) mmol/L], and non-high-density lipoprotein cholesterol (non-HDL-C) [−0.12 (−0.18, −0.05) mmol/L], while positively associated with apolipoprotein A-1 (ApoA1) [0.10 (0.08, 0.13) g/L] and triglycerides (TG) [0.14 (0.05, 0.23) mmol/L], compared to the lowest quartile (Q1 < 1.88 mg/day). Besides, dietary CoQ10 intake showed nonlinear dose–response associations with the above lipid variables (all P nonlinear < 0.05). Conclusion Dietary-derived CoQ10 intake may be associated with some lipid profiles, such as TG, ApoA1, TC, LDL-C, and non-HDL-C. However, CoQ10 from dietary sources may not be a good choice for individuals who need to CoQ10 supplement.","journal":"Frontiers in Nutrition","year":2024,"id":477935,"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":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8242,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1279697,"name":"Zezhong Tian","orcid":"0000-0001-6456-8285","position":1,"is_corresponding":false},{"id":304631,"name":"Dan Zhao","orcid":"0000-0002-5749-1467","position":2,"is_corresponding":false},{"id":1281164,"name":"Huiying Kuang","orcid":null,"position":3,"is_corresponding":false},{"id":659884,"name":"Ying Liang","orcid":"0000-0001-7824-5399","position":4,"is_corresponding":false},{"id":1316090,"name":"Zhihao Liu","orcid":"0000-0002-3541-5543","position":5,"is_corresponding":false},{"id":1045077,"name":"Yixuan Xu","orcid":"0000-0002-2411-2715","position":6,"is_corresponding":false},{"id":1280135,"name":"Shanshan Hou","orcid":null,"position":7,"is_corresponding":false},{"id":1280134,"name":"Zepei Zhong","orcid":null,"position":8,"is_corresponding":false},{"id":893234,"name":"Yan Yang","orcid":"0000-0002-5662-4600","position":9,"is_corresponding":false},{"id":1316498,"name":"Mingzhu Zhao","orcid":null,"position":0,"is_corresponding":true}],"reference_count":46,"raw_metadata":null,"created_at":"2026-07-19T02:06:37.812633Z","pmid":"39606570","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":[]}