Metabolomic Profiles of Plasma Retinol-Associated Dyslipidemia in Men and Women
Background and Aims: Studies of both animals and humans show that a high intake of vitamin A is associated with a lower risk of dyslipidemia. However, an association of plasma retinol levels with dyslipidemia is unclear. Therefore, the aim of this study is to investigate an association between plasm...
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Frontiers Media S.A.
2021-11-01
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnut.2021.740435/full |
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| author | Ninglin Wang Ninglin Wang Yuan Ru Yuan Ru Zhiying Yang Zhiying Yang Changxuan Sun Changxuan Sun Shanshan Li Shanshan Li Yan Min Xueyin Zhao Xueyin Zhao Ying Lu Ann W. Hsing Ann W. Hsing Ann W. Hsing Shankuan Zhu Shankuan Zhu |
| author_facet | Ninglin Wang Ninglin Wang Yuan Ru Yuan Ru Zhiying Yang Zhiying Yang Changxuan Sun Changxuan Sun Shanshan Li Shanshan Li Yan Min Xueyin Zhao Xueyin Zhao Ying Lu Ann W. Hsing Ann W. Hsing Ann W. Hsing Shankuan Zhu Shankuan Zhu |
| author_sort | Ninglin Wang |
| collection | DOAJ |
| description | Background and Aims: Studies of both animals and humans show that a high intake of vitamin A is associated with a lower risk of dyslipidemia. However, an association of plasma retinol levels with dyslipidemia is unclear. Therefore, the aim of this study is to investigate an association between plasma retinol and dyslipidemia and to identify related metabolites and pathways in the general population.Methods: We included 250 participants aged 20–80 years from the Wellness Living Laboratory (WELL) China cohort. Associations between plasma retinol levels and dyslipidemia were analyzed using adjusted logistic models. Related metabolites were identified using ANCOVA, adjusted for the false discovery rate (FDR) and used for pathway analyses. Because there are sex differences in plasma retinol levels, all analyses were conducted separately by sex.Results: Plasma retinol was significantly higher in men than in women. A positive association between plasma retinol and dyslipidemia was found in both sexes. In men, the 2nd and 3rd tertiles showed significantly higher proportions of dyslipidemia than the 1st tertile (1st tertile vs. 2nd tertile: p = 0.026; 1st tertile vs. 3rd tertile: p = 0.003). In women, the 3rd tertile showed a significantly higher proportion of dyslipidemia than the 1st and 2nd tertile (3rd tertile vs. 1st tertile: p = 0.002, 3rd tertile vs. 2nd tertile: p = 0.002). Overall, 75 and 30 metabolites were significantly associated with retinol levels in men and women, respectively. According to these metabolites, lipid metabolic pathways, including glycerophospholipid, arachidonic acid, linoleic acid, alpha-linolenic acid, and glycosylphosphatidylinositol (GPI), as well as steroid hormone biosynthesis pathways were found to overlap across the sexes. These pathways showed that elevated retinol levels might be associated with hormone metabolism and inflammation status.Conclusions: We found a positive association between plasma retinol levels and dyslipidemia. Related metabolomic profiles and interrupted pathways showed that such an increase might be associated with steroid hormone synthesis and inflammation. In addition, large, population-based longitudinal studies and intervention studies are needed to confirm the role of retinol in lipid metabolism and the prevention of cardiovascular disease (CVD). |
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| spelling | doaj.art-08520a97e8c14dbeb6181f18fd9d65722022-12-21T20:47:38ZengFrontiers Media S.A.Frontiers in Nutrition2296-861X2021-11-01810.3389/fnut.2021.740435740435Metabolomic Profiles of Plasma Retinol-Associated Dyslipidemia in Men and WomenNinglin Wang0Ninglin Wang1Yuan Ru2Yuan Ru3Zhiying Yang4Zhiying Yang5Changxuan Sun6Changxuan Sun7Shanshan Li8Shanshan Li9Yan Min10Xueyin Zhao11Xueyin Zhao12Ying Lu13Ann W. Hsing14Ann W. Hsing15Ann W. Hsing16Shankuan Zhu17Shankuan Zhu18Chronic Disease Research Institute, The Children's Hospital and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Nutrition and Food Hygiene, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, ChinaChronic Disease Research Institute, The Children's Hospital and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Nutrition and Food Hygiene, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, ChinaChronic Disease Research Institute, The Children's Hospital and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Nutrition and Food Hygiene, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, ChinaChronic Disease Research Institute, The Children's Hospital and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Nutrition and Food Hygiene, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, ChinaChronic Disease Research Institute, The Children's Hospital and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Nutrition and Food Hygiene, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, ChinaStanford Prevention Research Center, Department of Medicine, Stanford School of Medicine, Stanford University, Stanford, CA, United StatesChronic Disease Research Institute, The Children's Hospital and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Nutrition and Food Hygiene, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Biomedical Data Sciences, Stanford School of Medicine, Stanford, CA, United StatesStanford Prevention Research Center, Department of Medicine, Stanford School of Medicine, Stanford University, Stanford, CA, United StatesDepartment of Epidemiology and Population Health, Stanford School of Medicine, Stanford, CA, United StatesStanford Cancer Institute, School of Medicine, Stanford University, Stanford, CA, United StatesChronic Disease Research Institute, The Children's Hospital and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Nutrition and Food Hygiene, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, ChinaBackground and Aims: Studies of both animals and humans show that a high intake of vitamin A is associated with a lower risk of dyslipidemia. However, an association of plasma retinol levels with dyslipidemia is unclear. Therefore, the aim of this study is to investigate an association between plasma retinol and dyslipidemia and to identify related metabolites and pathways in the general population.Methods: We included 250 participants aged 20–80 years from the Wellness Living Laboratory (WELL) China cohort. Associations between plasma retinol levels and dyslipidemia were analyzed using adjusted logistic models. Related metabolites were identified using ANCOVA, adjusted for the false discovery rate (FDR) and used for pathway analyses. Because there are sex differences in plasma retinol levels, all analyses were conducted separately by sex.Results: Plasma retinol was significantly higher in men than in women. A positive association between plasma retinol and dyslipidemia was found in both sexes. In men, the 2nd and 3rd tertiles showed significantly higher proportions of dyslipidemia than the 1st tertile (1st tertile vs. 2nd tertile: p = 0.026; 1st tertile vs. 3rd tertile: p = 0.003). In women, the 3rd tertile showed a significantly higher proportion of dyslipidemia than the 1st and 2nd tertile (3rd tertile vs. 1st tertile: p = 0.002, 3rd tertile vs. 2nd tertile: p = 0.002). Overall, 75 and 30 metabolites were significantly associated with retinol levels in men and women, respectively. According to these metabolites, lipid metabolic pathways, including glycerophospholipid, arachidonic acid, linoleic acid, alpha-linolenic acid, and glycosylphosphatidylinositol (GPI), as well as steroid hormone biosynthesis pathways were found to overlap across the sexes. These pathways showed that elevated retinol levels might be associated with hormone metabolism and inflammation status.Conclusions: We found a positive association between plasma retinol levels and dyslipidemia. Related metabolomic profiles and interrupted pathways showed that such an increase might be associated with steroid hormone synthesis and inflammation. In addition, large, population-based longitudinal studies and intervention studies are needed to confirm the role of retinol in lipid metabolism and the prevention of cardiovascular disease (CVD).https://www.frontiersin.org/articles/10.3389/fnut.2021.740435/fullvitamin Aplasma retinoldyslipidemiametabolomics profilespathway analysis |
| spellingShingle | Ninglin Wang Ninglin Wang Yuan Ru Yuan Ru Zhiying Yang Zhiying Yang Changxuan Sun Changxuan Sun Shanshan Li Shanshan Li Yan Min Xueyin Zhao Xueyin Zhao Ying Lu Ann W. Hsing Ann W. Hsing Ann W. Hsing Shankuan Zhu Shankuan Zhu Metabolomic Profiles of Plasma Retinol-Associated Dyslipidemia in Men and Women Frontiers in Nutrition vitamin A plasma retinol dyslipidemia metabolomics profiles pathway analysis |
| title | Metabolomic Profiles of Plasma Retinol-Associated Dyslipidemia in Men and Women |
| title_full | Metabolomic Profiles of Plasma Retinol-Associated Dyslipidemia in Men and Women |
| title_fullStr | Metabolomic Profiles of Plasma Retinol-Associated Dyslipidemia in Men and Women |
| title_full_unstemmed | Metabolomic Profiles of Plasma Retinol-Associated Dyslipidemia in Men and Women |
| title_short | Metabolomic Profiles of Plasma Retinol-Associated Dyslipidemia in Men and Women |
| title_sort | metabolomic profiles of plasma retinol associated dyslipidemia in men and women |
| topic | vitamin A plasma retinol dyslipidemia metabolomics profiles pathway analysis |
| url | https://www.frontiersin.org/articles/10.3389/fnut.2021.740435/full |
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