PMID- 37880399 OWN - NLM STAT- MEDLINE DCOM- 20231129 LR - 20231205 IS - 1614-7499 (Electronic) IS - 0944-1344 (Linking) VI - 30 IP - 54 DP - 2023 Nov TI - Association of exposures to serum terpenes with the prevalence of dyslipidemia: a population-based analysis. PG - 115295-115309 LID - 10.1007/s11356-023-30546-0 [doi] AB - This study sought to examine hitherto unresearched relationships between serum terpenes and the prevalence of dyslipidemia. Serum terpenes such as limonene, alpha-pinene, and beta-pinene from the 2013-2014 National Health and Nutrition Examination Survey (NHANES) were used as independent variables in this cross-sectional study. Continuous lipid variables included total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), non-HDL-C, triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), residual cholesterol (RC), and apolipoprotein B (Apo B). Binary lipid variables (elevated TC, >/=5.18 mmol/L; lowered HDL-C, <1.04 mmol/L in men, and <1.30 mmol/L in women; elevated non-HDL-C, >/=4.2 mmol/L; elevated TG, >/=1.7 mmol/L; elevated LDL-C, >/=3.37 mmol/L; elevated RC, >/=1.0 mmol/L; and elevated Apo B, >/=1.3 g/L) suggest dyslipidemia. The relationships between the mixture of serum terpenes with lipid variables were investigated using weighted quantile sum (WQS) regression and Bayesian kernel machine regression (BKMR). The study for TC, HDL-C, and non-HDL-C included a total of 1,528 people, whereas the analysis for TG, LDL-C, RC, and Apo B comprised 714 participants. The mean age of the overall participants was 47.69 years, and 48.77% were male. We found that tertiles of serum terpene were positively associated with binary (elevated TC, non-HDL-C, TG, LDL-C, RC, Apo B, and lowered HDL-C) and continuous (TC, non-HDL-C, TG, LDL-C, RC, and Apo B, but not HDL-C) serum lipid variables. WQS regression and BKMR analysis revealed that the mixture of serum terpenes was linked with the prevalence of dyslipidemia. According to our data, the prevalence of dyslipidemia was correlated with serum concentrations of three terpenes both separately and collectively. CI - (c) 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. FAU - Ba, Yanqun AU - Ba Y AD - Department of Cardiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Huansha Road, Shangcheng District, Hangzhou, 310006, China. FAU - Guo, Qixin AU - Guo Q AD - Department of Cardiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Huansha Road, Shangcheng District, Hangzhou, 310006, China. AD - Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Guangzhou Road 300, Nanjing, 210029, China. FAU - Meng, Shasha AU - Meng S AD - Department of Cardiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Huansha Road, Shangcheng District, Hangzhou, 310006, China. FAU - Tong, Guoxin AU - Tong G AD - Department of Cardiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Huansha Road, Shangcheng District, Hangzhou, 310006, China. FAU - He, Ying AU - He Y AD - Department of Cardiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Huansha Road, Shangcheng District, Hangzhou, 310006, China. FAU - Guan, Yihong AU - Guan Y AD - Department of Cardiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Huansha Road, Shangcheng District, Hangzhou, 310006, China. FAU - Zheng, Beibei AU - Zheng B AD - Department of Cardiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Huansha Road, Shangcheng District, Hangzhou, 310006, China. njmutongguoxin@126.com. LA - eng PT - Journal Article DEP - 20231025 PL - Germany TA - Environ Sci Pollut Res Int JT - Environmental science and pollution research international JID - 9441769 RN - 0 (Cholesterol, LDL) RN - 0 (Terpenes) RN - 97C5T2UQ7J (Cholesterol) RN - 0 (Triglycerides) RN - 0 (Cholesterol, HDL) RN - 0 (Lipoproteins) RN - 0 (Apolipoproteins B) SB - IM MH - Humans MH - Male MH - Female MH - Middle Aged MH - Cholesterol, LDL MH - Nutrition Surveys MH - Terpenes MH - Prevalence MH - Cross-Sectional Studies MH - Bayes Theorem MH - Cholesterol MH - Triglycerides MH - Cholesterol, HDL MH - *Hypercholesterolemia MH - *Dyslipidemias/epidemiology MH - Lipoproteins MH - Apolipoproteins B OTO - NOTNLM OT - Dyslipidemia OT - Limonene OT - Lipid profiles OT - Terpenes OT - alpha-Pinene OT - beta-Pinene EDAT- 2023/10/26 00:42 MHDA- 2023/11/29 06:43 CRDT- 2023/10/25 23:39 PHST- 2023/07/21 00:00 [received] PHST- 2023/10/13 00:00 [accepted] PHST- 2023/11/29 06:43 [medline] PHST- 2023/10/26 00:42 [pubmed] PHST- 2023/10/25 23:39 [entrez] AID - 10.1007/s11356-023-30546-0 [pii] AID - 10.1007/s11356-023-30546-0 [doi] PST - ppublish SO - Environ Sci Pollut Res Int. 2023 Nov;30(54):115295-115309. doi: 10.1007/s11356-023-30546-0. Epub 2023 Oct 25.