单位:[1]Department of Laboratory Medicine, China-Japan Friendship Hospital, Beijing, China,[2]Community Health Service Center of Hepingli of Dongcheng District, Beijing, China,[3]Blood Screening Laboratory, Beijing Red Cross Blood Center, Beijing, China,[4]Institute of Clinical Medicine, China-Japan Friendship Hospital, Beijing, China
Objective Several studies have indicated that elevated levels of circulating ferritin are associated with disturbances in energy metabolism. But none of this gave a clearly pathologic mechanism. We aimed to explore the independent relationship between serum ferritin levels and dyslipidemia. Methods We performed multivariable logistic regression analyses to estimate the odds ratios (ORs) for dyslipidemia, lipid parameters, the homeostasis model assessment of insulin resistance (HOMA-IR) and the risk of diabetes, according to sex-specific quartiles of serum ferritin by using the data of China Health and Nutrition Survey (2009 CHNS). We used three models to estimate the strength of the correlation. The basic model (Model 1) is without adjustment and the Model 2 and Model 3 are adjusted for demographic, anthropometric, and lifestyle confounding factors. Results In both genders, the ORs for high TG level, TC level and LDL-C level increased progressively and for HDL-C decreased across the ferritin quartiles (P<0.001 for trend). After adjustment for confounding factors in different logistic regression models, the results remained unchanged. The ORs for the risk of diabetes and high HOMA-IR level in the highest quartile group of serum ferritin levels were significantly increased in Model 1, but after adjustment for lipid parameters, the ORs for the risk of diabetes was decreased from 1.91 (95% CI: 1.37 +/- 2.67; P<0.001 for trend) to 1.48 (95% CI: 1.03 +/- 2.12; P = 0.036 for trend) in men, and from 5.40 (95% CI: 3.38 +/- 8.63; P<0.001 for trend) to 1.43 (95% CI: 0.83 +/- 2.43; P = 0.498 for trend) in women, and the ORs for IR was decreased from 1.86 (95% CI: 1.57 +/- 2.20; P<0.001 for trend) to 1.25 (95% CI: 1.05 +/- 1.50; P = 0.114 for trend) in men, and from 1.93 (95% CI: 1.63 +/- 2.28; P<0.001 for trend) to 1.24 (95% CI: 1.01 +/- 1.51; P = 0.012 for trend) in women. Conclusion Our results provide evidence that serum ferritin levels are significantly associated with lipid parameters, independent of glucose metabolism disorders and components of metabolic syndrome (MetS). Thus, serum ferritin plays a key role in energy metabolism disorders and may affect glucose metabolism through lipid metabolism.
基金:
National Institute for Nutrition and Health; China Center for Disease Control and Prevention; Carolina Population Center [P2C HD050924, T32 HD007168]; University of North Carolina at Chapel Hill; NIHUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USA [R01-HD30880, DK056350, R24 HD050924, R01-HD38700]; NIH Fogarty International CenterUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH Fogarty International Center (FIC) [D43 TW009077, D43 TW007709]; China-Japan Friendship Hospital, Ministry of Health; National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [81400356, 81373773]; NIH Fogarty International CenterUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH Fogarty International Center (FIC); Carolina Population Center
第一作者单位:[1]Department of Laboratory Medicine, China-Japan Friendship Hospital, Beijing, China,
通讯作者:
推荐引用方式(GB/T 7714):
Li Jiang,Bao Weimin,Zhang Tie,et al.Independent relationship between serum ferritin levels and dyslipidemia in Chinese adults: A population study[J].PLOS ONE.2017,12(12):doi:10.1371/journal.pone.0190310.
APA:
Li, Jiang,Bao, Weimin,Zhang, Tie,Zhou, Yun,Yang, Hui...&Xiao, Cheng.(2017).Independent relationship between serum ferritin levels and dyslipidemia in Chinese adults: A population study.PLOS ONE,12,(12)
MLA:
Li, Jiang,et al."Independent relationship between serum ferritin levels and dyslipidemia in Chinese adults: A population study".PLOS ONE 12..12(2017)