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Stojković L, Zec M, Zivkovic M, Bundalo M, Bošković M, Glibetić M, Stankovic A. Polyphenol-Rich Aronia melanocarpa Juice Consumption Affects LINE-1 DNA Methylation in Peripheral Blood Leukocytes in Dyslipidemic Women. Front Nutr 2021; 8:689055. [PMID: 34222308 PMCID: PMC8247759 DOI: 10.3389/fnut.2021.689055] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 05/26/2021] [Indexed: 12/27/2022] Open
Abstract
Cardiovascular disease (CVD) is associated with alterations in DNA methylation and polyunsaturated fatty acid (PUFA) profile, both modulated by dietary polyphenols. The present parallel, placebo-controlled study (part of the original clinical study registered as NCT02800967 at www.clinicaltrials.gov) aimed to determine the impact of 4-week daily consumption of polyphenol-rich Aronia melanocarpa juice (AMJ) treatment on Long Interspersed Nucleotide Element-1 (LINE-1) methylation in peripheral blood leukocytes and on plasma PUFAs, in subjects (n = 54, age range of 40.2 ± 6.7 years) at moderate CVD risk, including an increased body mass index, central obesity, high normal blood pressure, and/or dyslipidemia. The goal was also to examine whether factors known to affect DNA methylation (folate intake levels, MTHFR C677T gene variant, anthropometric and metabolic parameters) modulated the LINE-1 methylation levels upon the consumption of polyphenol-rich aronia juice. Experimental analysis of LINE-1 methylation was done by MethyLight method. MTHFR C677T genotypes were determined by the polymerase chain reaction–restriction fragment length polymorphism method, and folate intake was assessed by processing the data from the food frequency questionnaire. PUFAs were measured by gas–liquid chromatography, and serum lipid profile was determined by using Roche Diagnostics kits. The statistical analyses were performed using Statistica software package. In the comparison after vs. before the treatment period, in dyslipidemic women (n = 22), we observed significant decreases in LINE-1 methylation levels (97.54 ± 1.50 vs. 98.39 ± 0.86%, respectively; P = 0.01) and arachidonic acid/eicosapentaenoic acid ratio [29.17 ± 15.21 vs. 38.42 (25.96–89.58), respectively; P = 0.02]. The change (after vs. before treatment) in LINE-1 methylation directly correlated with the presence of MTHFR 677T allele, average daily folate intake, and the change in serum low-density lipoprotein cholesterol but inversely correlated with the change in serum triacylglycerols (R = 0.72, R2 = 0.52, adjusted R2 = 0.36, P = 0.03). The current results imply potential cardioprotective effects of habitual polyphenol-rich aronia juice consumption achieved through the modifications of DNA methylation pattern and PUFAs in subjects at CVD risk, which should be further confirmed. Hence, the precision nutrition-driven modulations of both DNA methylation and PUFA profile may become targets for new approaches in the prevention of CVD.
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Affiliation(s)
- Ljiljana Stojković
- Laboratory for Radiobiology and Molecular Genetics, Department of Health and Environmental Research, "Vinča" Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Manja Zec
- Centre of Research Excellence in Nutrition and Metabolism, Institute for Medical Research-National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia.,Department of Nutritional Sciences, University of Arizona, Tucson, AZ, United States
| | - Maja Zivkovic
- Laboratory for Radiobiology and Molecular Genetics, Department of Health and Environmental Research, "Vinča" Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Maja Bundalo
- Laboratory for Radiobiology and Molecular Genetics, Department of Health and Environmental Research, "Vinča" Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia.,Institute of Experimental Biomedicine, University Hospital Würzburg, Würzburg, Germany
| | - Maja Bošković
- Laboratory for Radiobiology and Molecular Genetics, Department of Health and Environmental Research, "Vinča" Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Marija Glibetić
- Centre of Research Excellence in Nutrition and Metabolism, Institute for Medical Research-National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Aleksandra Stankovic
- Laboratory for Radiobiology and Molecular Genetics, Department of Health and Environmental Research, "Vinča" Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
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Li S, Chen Y, Xie L, Meng Y, Zhu L, Chu H, Gu D, Zhang Z, Du M, Wang M. Sex hormones and genetic variants in hormone metabolic pathways associated with the risk of colorectal cancer. ENVIRONMENT INTERNATIONAL 2020; 137:105543. [PMID: 32059146 DOI: 10.1016/j.envint.2020.105543] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 02/02/2020] [Accepted: 02/02/2020] [Indexed: 06/10/2023]
Abstract
OBJECTIVE The different incidence of colorectal cancer between the sexes suggests that sex hormones may be involved in the susceptibility to colorectal cancer. The association between sex hormones and genetic variants in hormone metabolic pathways and the colorectal cancer risk remains unclear. METHODS We detected sex hormone levels in plasma from colorectal cancer patients and controls in males by ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). We evaluated the clinical significance of sex hormones on colorectal cancer diagnosis with the area under the receiver operating characteristic curve (AUC). The role of genetic variants in hormone metabolic pathways in the colorectal cancer risk was assessed by a logistic regression model. The biological functions were detected by luciferase reporter assays and cell behavior experiments. RESULTS We found that 2-methoxyestrone (2-MeO-E1) was highly expressed in cases (PFDR = 3.48 × 10-19). The expression of 2-MeO-E1 in plasma showed improved accuracy for predicting colorectal cancer (AUC = 0.88). In the 2-MeO-E1 metabolic pathway, rs165599 in COMT was significantly associated with an increased risk of colorectal cancer (P = 0.009). Mechanistically, we found that the rs165599 G allele could decrease the binding ability of miR-22-3p to the COMT 3'-UTR. Furthermore, knockdown of COMT inhibited cell proliferation, induced cell apoptosis and arrested the cell cycle in the G1 phase. CONCLUSION This is the first study to show that 2-MeO-E1 and a genetic variant in COMT contribute to the susceptibility to colorectal cancer. These results shed light on the different incidence of colorectal cancer between the sexes.
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Affiliation(s)
- Shuwei Li
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China; Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yehua Chen
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China; Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Lisheng Xie
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China; Department of Infection Control, Zhongshan Hospital Qingpu Branch, Fudan University, Shanghai, China
| | - Yixuan Meng
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Lingjun Zhu
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Haiyan Chu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Dongying Gu
- Department of Oncology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Zhengdong Zhang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Mulong Du
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China; Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Meilin Wang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China; Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
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