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Adepu VK, Kumar HSS, Ravibabu K, Nagaraju R. Effect of Lead Exposure and Lifestyle Factors on Methylation Index Markers Among Pb-Exposed Workers. Biol Trace Elem Res 2025; 203:1342-1350. [PMID: 38935257 DOI: 10.1007/s12011-024-04270-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 06/06/2024] [Indexed: 06/28/2024]
Abstract
S-Adenosylmethionine (SAM) and S-adenosylhomocysteine (SAH) and the ratio of SAM and SAH in Pb-exposed workers need to be assessed. In this study, we investigated the effects of Pb exposure on SAM, SAH, and methylation index (MI) in Pb-exposed workers with contemplation of lifestyle factors. Blood lead levels (BLLs), SAM, SAH, MI, and lifestyle factors were assessed in 338 male Pb-exposed workers. BLLs are estimated by ICP-OES method. SAM and SAH levels in serum were determined by ELISA method. The MI was calculated using SAM and SAH individual values. The lifestyle factors were collected using standard questionnaire. Levels of SAM and MI were significantly decreased with increased age, experience > 5 years, habits of tobacco chewing, smoking, alcohol consumption, and BLLs 10-30, 30-50, and > 50 µg/dL. Levels of SAH were significantly increased with increased age, habits of tobacco chewing and smoking, and BLLs 10-30, 30-50, and > 50 µg/dL. The association between BLLs and methylation index markers (SAM and MI) was reported as negative and significant. The association between BLLs and SAH was noted positive and significant. The influence of BLLs and lifestyle factors on SAM was noted at 12%, SAH at 35%, and MI at 27%, respectively. The highest percentage of influence was noted in SAH, followed by MI and SAM. In the workers exposed to Pb, lifestyle factors resulted in decreased SAM and MI and increased SAH levels. Adaptation of healthy lifestyle factors, personal hygiene practices, and use of PPE were suggested to minimize the reduction of methylation index markers.
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Affiliation(s)
- Vinay Kumar Adepu
- Department of Biochemistry, Regional Occupational Health Centre (Southern), Indian Council of Medical Research, ICMR Complex, Kannamangala Post, Poojanahalli Road Devanahalli Taluk, Bengaluru, 562110, Karnataka, India
| | - H S Santosh Kumar
- Department of Biotechnology, Kuvempu University, Jnana Sahyadri, Shimoga, Karnataka, 577451, India
| | - Kalahasthi Ravibabu
- Department of Biochemistry, Regional Occupational Health Centre (Southern), Indian Council of Medical Research, ICMR Complex, Kannamangala Post, Poojanahalli Road Devanahalli Taluk, Bengaluru, 562110, Karnataka, India.
| | - Raju Nagaraju
- Department of Biochemistry, Regional Occupational Health Centre (Southern), Indian Council of Medical Research, ICMR Complex, Kannamangala Post, Poojanahalli Road Devanahalli Taluk, Bengaluru, 562110, Karnataka, India
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Kubo Y, Shoji K, Tajima A, Horiguchi S, Fukuoka H, Nishikawa M, Kagawa Y, Kawabata T. Serum 5-Methyltetrahydrofolate Status Is Associated with One-Carbon Metabolism-Related Metabolite Concentrations and Enzyme Activity Indicators in Young Women. Int J Mol Sci 2023; 24:10993. [PMID: 37446171 DOI: 10.3390/ijms241310993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 06/25/2023] [Accepted: 06/28/2023] [Indexed: 07/15/2023] Open
Abstract
Maintaining optimal one-carbon metabolism (OCM) is essential for health and pregnancy. In this cross-sectional study, folate status was assessed based on 5-methyltetrahydrofolate (5-MTHF) levels, and the association between 5-MTHF and OCM-related metabolites was investigated in 227 female Japanese university students aged 18-25 years. The participants were divided into high and low 5-MTHF groups based on their folate status. Serum samples of the participants were collected while they were fasting, and 18 OCM-related metabolites were measured using stable-isotope dilution liquid chromatography-electrospray tandem mass spectrometry. The association between serum 5-MTHF and OCM-related metabolite concentrations was assessed using Spearman's rank correlation coefficient. Serum 5-MTHF concentrations were negatively correlated with total homocysteine (tHcy) concentrations and positively correlated with S-adenosylmethionine (SAM) and total cysteine (tCys) concentrations. Serum 5-MTHF concentrations demonstrated a stronger negative correlation with tHcy/tCys than with tHcy alone. The negative correlation between betaine and tHcy concentrations was stronger in the low 5-MTHF group than in the high 5-MTHF group. The 5-MTHF status could be linked to Hcy flux into the transsulfuration pathway via SAM. Therefore, the tHcy/tCys ratio may be a more sensitive indicator of the 5-MTHF status than tHcy alone. Furthermore, a low 5-MTHF status can enhance Hcy metabolism via betaine.
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Affiliation(s)
- Yoshinori Kubo
- Faculty of Nutrition, Kagawa Nutrition University, 3-9-21 Chiyoda, Sakado 350-0288, Japan
- Division of Anatomy and Cell Biology, Department of Anatomy, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu 520-2192, Japan
| | - Kumiko Shoji
- Faculty of Nutrition, Kagawa Nutrition University, 3-9-21 Chiyoda, Sakado 350-0288, Japan
| | - Akiko Tajima
- Faculty of Nutrition, Kagawa Nutrition University, 3-9-21 Chiyoda, Sakado 350-0288, Japan
| | - Sayaka Horiguchi
- Faculty of Nutrition, Kagawa Nutrition University, 3-9-21 Chiyoda, Sakado 350-0288, Japan
| | - Hideoki Fukuoka
- Department of Perinatal Mesenchymal Stem Cell Research, Fukushima Medical University School of Medicine, 1 Hikarigaoka, Fukushima 960-1295, Japan
| | - Masazumi Nishikawa
- Department of Food Management, School of Food, Agricultural and Environmental Sciences, Miyagi University, 2-2-1 Hatadate, Taihaku-ku, Sendai 982-0215, Japan
| | - Yasuo Kagawa
- Faculty of Nutrition, Kagawa Nutrition University, 3-9-21 Chiyoda, Sakado 350-0288, Japan
| | - Terue Kawabata
- Faculty of Nutrition, Kagawa Nutrition University, 3-9-21 Chiyoda, Sakado 350-0288, Japan
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Vitamin B12 deficiency and altered one-carbon metabolites in early pregnancy is associated with maternal obesity and dyslipidaemia. Sci Rep 2020; 10:11066. [PMID: 32632125 PMCID: PMC7338455 DOI: 10.1038/s41598-020-68344-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 04/22/2020] [Indexed: 02/07/2023] Open
Abstract
Vitamin B12 (B12) is a micronutrient essential for one-carbon (1C) metabolism. B12 deficiency disturbs the 1C cycle and alters DNA methylation which is vital for most metabolic processes. Studies show that B12 deficiency may be associated with obesity, insulin resistance and gestational diabetes; and with obesity in child-bearing women. We therefore hypothesised that the associations between B12 deficiency, BMI and the metabolic risk could be mediated through altered 1C metabolites in early pregnancy. We explored these associations in two different early pregnancy cohorts in the UK (cohort 1; n = 244 and cohort 2; n = 60) with anthropometric data at 10-12 weeks and plasma/serum sampling at 16-18 weeks. B12, folate, total homocysteine (tHcy), methionine, MMA, metabolites of 1C metabolism (SAM, SAH) and anthropometry were measured. B12 deficiency (< 150 pmol/l) in early pregnancy was 23% in cohort 1 and 18% in cohort 2. Regression analysis after adjusting for likely confounders showed that B12 was independently and negatively associated with BMI (Cohort 1: β = - 0.260, 95% CI (- 0.440, - 0.079), p = 0.005, Cohort 2: (β = - 0.220, 95% CI (- 0.424, - 0.016), p = 0.036) and positively with HDL cholesterol (HDL-C) (β = 0.442, 95% CI (0.011,0.873), p = 0.045). We found that methionine (β = - 0.656, 95% CI (- 0.900, - 0.412), p < 0.0001) and SAH (β = 0.371, 95% CI (0.071, 0.672), p = 0.017) were independently associated with triglycerides. Low B12 status and alteration in metabolites in 1C metabolism are common in UK women in early pregnancy and are independently associated with maternal obesity and dyslipidaemia. Therefore, we suggest B12 monitoring in women during peri-conceptional period and future studies on the pathophysiological relationship between changes in 1C metabolites and its association with maternal and fetal outcomes on larger cohorts. This in turn may offer potential to reduce the metabolic risk in pregnant women and their offspring.
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Wang X, Liu Y, Sun H, Ge A, Li D, Fu J, Li Y, Pang D, Zhao Y. DNA Methylation in RARβ Gene as a Mediator of the Association Between Healthy Lifestyle and Breast Cancer: A Case-Control Study. Cancer Manag Res 2020; 12:4677-4684. [PMID: 32606959 PMCID: PMC7308131 DOI: 10.2147/cmar.s244606] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Accepted: 05/20/2020] [Indexed: 12/12/2022] Open
Abstract
Purpose Lifestyle factors and methylation in the retinoic acid receptor β (RARβ) gene are associated with breast cancer (BC). This study aims to examine the mediation effect of RARβ methylation on the association between healthy lifestyle and BC in Chinese women. Patients and Methods This case–control study consisted of 408 BC patients and 573 controls. A healthy lifestyle score (HLS) was constructed based on diet, alcohol use, physical activity, body mass index and smoking. The mediation effect of RARβ methylation in peripheral blood leukocytes was assessed in a causal mediation model using R package Lavaan. Results A higher HLS was significantly associated with lower risk of BC (P-value<0.001). In mediation analyses, the total effect of HLS on BC measured as a regression coefficient was significant (−0.237). The indirect effects of HLS on RARβ methylation (−0.153) and RARβ methylation on BC (0.220) were both significant. The significant mediation effect of RARβ methylation on the HLS-BC association was estimated at 14.3%. Conclusion The relationship between healthy lifestyle and BC is partly mediated by RARβ methylation, suggesting that epigenetic modifications play a role in the underlying mechanisms in response to lifestyles and contribute to the development of BC.
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Affiliation(s)
- Xuan Wang
- Department of Epidemiology, College of Public Health, Harbin Medical University, Harbin 150081, Heilong Jiang Province, People's Republic of China
| | - Yupeng Liu
- Department of Epidemiology, College of Public Health, Harbin Medical University, Harbin 150081, Heilong Jiang Province, People's Republic of China
| | - Hongru Sun
- Department of Epidemiology, College of Public Health, Harbin Medical University, Harbin 150081, Heilong Jiang Province, People's Republic of China
| | - Anqi Ge
- Department of Epidemiology, College of Public Health, Harbin Medical University, Harbin 150081, Heilong Jiang Province, People's Republic of China
| | - Dapeng Li
- Department of Epidemiology, College of Public Health, Harbin Medical University, Harbin 150081, Heilong Jiang Province, People's Republic of China
| | - Jinming Fu
- Department of Epidemiology, College of Public Health, Harbin Medical University, Harbin 150081, Heilong Jiang Province, People's Republic of China
| | - Yan Li
- Department of Epidemiology, College of Public Health, Harbin Medical University, Harbin 150081, Heilong Jiang Province, People's Republic of China
| | - Da Pang
- Department of Breast Surgery, The Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, Heilong Jiang Province, People's Republic of China
| | - Yashuang Zhao
- Department of Epidemiology, College of Public Health, Harbin Medical University, Harbin 150081, Heilong Jiang Province, People's Republic of China
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Impact of the MTHFR C677T polymorphism on one-carbon metabolites: Evidence from a randomised trial of riboflavin supplementation. Biochimie 2020; 173:91-99. [PMID: 32330571 DOI: 10.1016/j.biochi.2020.04.004] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Revised: 04/04/2020] [Accepted: 04/06/2020] [Indexed: 12/11/2022]
Abstract
Homozygosity for the C677T polymorphism in MTHFR (TT genotype) is associated with a 24-87% increased risk of hypertension. Blood pressure (BP) lowering was previously reported in adults with the TT genotype, in response to supplementation with the MTHFR cofactor, riboflavin. Whether the BP phenotype associated with the polymorphism is related to perturbed one-carbon metabolism is unknown. This study investigated one-carbon metabolites and their responsiveness to riboflavin in adults with the TT genotype. Plasma samples from adults (n 115) screened for the MTHFR genotype, who previously participated in RCTs to lower BP, were analysed for methionine, S-adenosylmethionine (SAM), S-adenosylhomocysteine (SAH), betaine, choline and cystathionine by liquid chromatography tandem mass spectrometry (LC-MS/MS). The one-carbon metabolite response to riboflavin (1.6 mg/d; n 24) or placebo (n 23) for 16 weeks in adults with the TT genotype was also investigated. Plasma SAM (74.7 ± 21.0 vs 85.2 ± 22.6 nmol/L, P = 0.013) and SAM:SAH ratio (1.66 ± 0.55 vs 1.85 ± 0.51, P = 0.043) were lower and plasma homocysteine was higher (P = 0.043) in TT, compared to CC individuals. In response to riboflavin, SAM (P = 0.008) and cystathionine (P = 0.045) concentrations increased, with no responses in other one-carbon metabolites observed. These findings confirm perturbed one-carbon metabolism in individuals with the MTHFR 677TT genotype, and for the first time demonstrate that SAM, and cystathionine, increase in response to riboflavin supplementation in this genotype group. The genotype-specific, one-carbon metabolite responses to riboflavin intervention observed could offer some insight into the role of this gene-nutrient interaction in blood pressure.
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Köse S, Sözlü S, Bölükbaşi H, Ünsal N, Gezmen-Karadağ M. Obesity is associated with folate metabolism. INT J VITAM NUTR RES 2019; 90:353-364. [PMID: 31512572 DOI: 10.1024/0300-9831/a000602] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Objective: The aim of the present study is to perform a systemic review of the previous studies executed on the association between obesity and folate. Method: In the present research, the selected keywords were scanned on the PubMed, Web of Science, Cochrane and Lilac databases between May and June, 2017 through Gazi University's network. In total, 4236 clinical, randomized controlled, cross-sectional and prospective studies were determined and 17 of these that specifically fit the aims of the present research were reviewed. This study involved an electronic literature search of databases on folic acid and obesity published in the English language between 2000 and 2016. Results: Of the 17 studies, 5 were based on folic acid supplementation and 12 were related with participants' folate status. As a general consequence of both intake and serum/status measurements of folic acid supplementation: It was found that obesity-associated metabolic changes might affect individual folate use and obese individuals had lower serum folate levels, although there was no change in folate intake. Conclusion: Overweight and obese individuals have lower serum folate concentrations when compared with individuals with normal weight. It is explained by increased use of folic acid, urinary excretion, dilution of blood volume, different levels in different tissues and changes in the endocrine functions of folate. Individuals with higher Body Mass Indexes have less supplement use, unhealthier diets and donot consume sufficient vegetables and fruits, all of which can affect decrease in folate levels. Furthermore, adiposity may affect folate absorption by intestinal epithelium.
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Affiliation(s)
- Süleyman Köse
- Gazi University, Faculty of Health Sciences, Department of Nutrition and Dietetics, 06560 Beşevler, Ankara, Turkey
| | - Saniye Sözlü
- Gazi University, Faculty of Health Sciences, Department of Nutrition and Dietetics, 06560 Beşevler, Ankara, Turkey
| | - Hatice Bölükbaşi
- Gazi University, Faculty of Health Sciences, Department of Nutrition and Dietetics, 06560 Beşevler, Ankara, Turkey
| | - Nüket Ünsal
- Gazi University, Faculty of Health Sciences, Department of Nutrition and Dietetics, 06560 Beşevler, Ankara, Turkey
| | - Makbule Gezmen-Karadağ
- Gazi University, Faculty of Health Sciences, Department of Nutrition and Dietetics, 06560 Beşevler, Ankara, Turkey
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Central But Not General Obesity Is Positively Associated with the Risk of Hyperhomocysteinemia in Middle-Aged Women. Nutrients 2019; 11:nu11071614. [PMID: 31315230 PMCID: PMC6683268 DOI: 10.3390/nu11071614] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2019] [Revised: 07/08/2019] [Accepted: 07/11/2019] [Indexed: 11/16/2022] Open
Abstract
Objective: Obesity and homocysteine (Hcy) are two important risk factors for cardiovascular disease (CVD). However, evidence on the association between obesity and Hcy concentration was conflicting. The aim of our study is to explore the associations of general and central obesity with hyperhomocysteinemia (HHcy) in middle-aged women. Methods: The current analysis was based on data from 11,007 women aged 40–60 years. Height, weight, and waist circumference (WC) were measured and serum homocysteine was determined. Multiple logistic regression models were used to assess the associations of the risk of hyperhomocysteinemia (HHcy, Hcy > 15 μmol/L) with BMI and WC. Results: 13.71% women had HHcy. The prevalences of BMI-based general obesity and WC-based central obesity were 11.17% and 22.88%, respectively. Compared with non-obese women, the mean serum Hcy concentration was significantly higher in WC-based central obese women (p = 0.002), but not in BMI-based general obese women (p > 0.05). In the multiple logistic regression models, central obesity was positively related to the risk of HHcy (OR = 1.30, 95% CI = 1.10 to 1.52), while general obesity was inversely related to the risk of HHcy (OR = 0.82, 95% CI = 0.72 to 0.93 and OR = 0.71, 95% CI = 0.57 to 0.89). Conclusions: Central obesity was positively related to the risk of HHcy, while general obesity was negatively related. Menopause showed no effect modification on these associations.
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Lind MV, Lauritzen L, Vestergaard H, Hansen T, Pedersen O, Kristensen M, Ross AB. One-carbon metabolism markers are associated with cardiometabolic risk factors. Nutr Metab Cardiovasc Dis 2018; 28:402-410. [PMID: 29499850 DOI: 10.1016/j.numecd.2018.01.005] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Revised: 01/03/2018] [Accepted: 01/16/2018] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND AIMS Alterations to one-carbon metabolism, especially elevated plasma homocysteine (Hcy), have been suggested to be both a cause and a consequence of the metabolic syndrome (MS). A deeper understanding of the role of other one-carbon metabolites in MS, including s-adenosylmethionine (SAM), s-adenosylhomocysteine (SAH), and the methylation capacity index (SAM:SAH ratio) is required. METHODS AND RESULTS 118 men and women with MS-risk factors were included in this cross-sectional study and cardiometabolic outcomes along with markers of one-carbon metabolism, including fasting plasma SAM, SAH, Hcy and vitamin B12 concentrations, were analysed. Multiple linear regression models were also used to examine the association between plasma one-carbon metabolites and cardiometabolic health features. We found that fasting plasma concentrations of Hcy, SAM and SAH were all positively correlated with markers of adiposity, including BMI (increase in BMI per 1-SD increase in one-carbon metabolite: 0.92 kg/m2 95% CI (0.28; 1.56), p = 0.005; 0.81 (0.15; 1.47), p = 0.02; 0.67 (-0.01; 1.36), p = 0.05, respectively). Hcy, but not SAM, SAH or SAM:SAH ratio was associated with BMI and body fat percentage after mutual adjustments. SAM concentrations were associated with higher fasting insulin (9.5% 95% CI (0.3; 19.5) per SD increase in SAM, p = 0.04), HOMA-IR (10.8% (0.8; 21.9), p = 0.03) and TNF-α (11.8% (5.0; 19.0), p < 0.001). CONCLUSION We found little evidence for associations between SAM:SAH ratio and cardiometabolic variables, but higher plasma concentrations of SAM, SAH and Hcy are related to an overall higher risk of metabolic dysfunctions. The studies were registered at www.clinicaltrials.gov (NCT01719913 &NCT01731366).
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Affiliation(s)
- M V Lind
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Frederiksberg, Denmark; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
| | - L Lauritzen
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Frederiksberg, Denmark
| | - H Vestergaard
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Steno Diabetes Center, Gentofte, Denmark
| | - T Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - O Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - M Kristensen
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Frederiksberg, Denmark
| | - A B Ross
- Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
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Koning IV, Dudink J, Groenenberg IAL, Willemsen SP, Reiss IKM, Steegers-Theunissen RPM. Prenatal cerebellar growth trajectories and the impact of periconceptional maternal and fetal factors. Hum Reprod 2018; 32:1230-1237. [PMID: 28453631 DOI: 10.1093/humrep/dex079] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Accepted: 03/30/2017] [Indexed: 01/08/2023] Open
Abstract
STUDY QUESTION CAN WE assess human prenatal cerebellar growth from the first until the third trimester of pregnancy and create growth trajectories to investigate associations with periconceptional maternal and fetal characteristics? SUMMARY ANSWER Prenatal growth trajectories of the human cerebellum between 9 and 32 weeks gestational age (GA) were created using three-dimensional ultrasound (3D-US) and show negative associations with pre-pregnancy and early first trimester BMI calculated from self-reported and standardized measured weight and height, respectively. WHAT IS KNOWN ALREADY The cerebellum is essential for normal neurodevelopment and abnormal cerebellar development has been associated with neurodevelopmental impairments and psychiatric diseases. Cerebellar development is particularly susceptible to exposures during the prenatal period, including maternal folate status, smoking habit and alcohol consumption. STUDY DESIGN, SIZE, DURATION From 2013 until 2015, we included 182 singleton pregnancies during the first trimester as a subgroup in a prospective periconception cohort with follow-up until birth. For the statistical analyses, we selected 166 pregnancies ending in live born infants without congenital malformations. PARTICIPANTS/MATERIALS, SETTING, METHODS We measured transcerebellar diameter (TCD) at 9, 11, 22, 26 and 32 weeks GA on ultrasound scans. Growth rates were calculated and growth trajectories of the cerebellum were created. Linear mixed models were used to estimate associations between cerebellar growth and maternal age, parity, mode of conception, geographic origin, pre-pregnancy and first trimester BMI, periconceptional smoking, alcohol consumption, timing of folic acid supplement initiation and fetal gender. MAIN RESULTS AND THE ROLE OF CHANCE In total, 166 pregnancies provided 652 (87%) ultrasound images eligible for TCD measurements. Cerebellar growth rates increased with advancing GA being 0.1691 mm/day in the first trimester, 0.2336 mm/day in the second trimester and 0.2702 mm/day in the third trimester. Pre-pregnancy BMI, calculated from self-reported body weight and height, was significantly associated with decreased cerebellar growth trajectories (β = -0.0331 mm, 95% CI = -0.0638; -0.0024, P = 0.035). A similar association was found between cerebellar growth trajectories and first trimester BMI, calculated from standardized measurements of body weight and height (β = -0.0325, 95% CI = -0.0642; -0.0008, P = 0.045, respectively). LIMITATIONS, REASONS FOR CAUTION As the study population largely consisted of tertiary hospital patients, external validity should be studied in the general population. Whether small differences in prenatal cerebellar growth due to a higher pre-pregnancy and first trimester BMI have consequences for neurodevelopmental outcome needs further investigation. WIDER IMPLICATIONS OF THE FINDINGS Our findings further substantiate previous evidence for the detrimental impact of a higher maternal BMI on neurodevelopmental health of offspring in later life. STUDY FUNDING/COMPETING INTEREST(S) This study was funded by the Department of Obstetrics and Gynecology, Erasmus MC University Medical Centre and Sophia Children's Hospital Fund, Rotterdam, The Netherlands (SSWO grant number 644). No competing interests are declared.
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Affiliation(s)
- I V Koning
- Department of Obstetrics and Gynecology, Erasmus MC University Medical Center, Postbus 2040, 3000CA Rotterdam, The Netherlands.,Department of Pediatrics, Division of Neonatology, Erasmus MC University Medical Center, Postbus 2040, 3000CA Rotterdam, The Netherlands
| | - J Dudink
- Department of Pediatrics, Division of Neonatology, Erasmus MC University Medical Center, Postbus 2040, 3000CA Rotterdam, The Netherlands.,Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Lundlaan 6, 3584 EA Utrecht, The Netherlands
| | - I A L Groenenberg
- Department of Obstetrics and Gynecology, Erasmus MC University Medical Center, Postbus 2040, 3000CA Rotterdam, The Netherlands
| | - S P Willemsen
- Department of Obstetrics and Gynecology, Erasmus MC University Medical Center, Postbus 2040, 3000CA Rotterdam, The Netherlands.,Department of Biostatistics, Erasmus MC University Medical Center, Postbus 2040, 3000CA Rotterdam, The Netherlands
| | - I K M Reiss
- Department of Pediatrics, Division of Neonatology, Erasmus MC University Medical Center, Postbus 2040, 3000CA Rotterdam, The Netherlands
| | - R P M Steegers-Theunissen
- Department of Obstetrics and Gynecology, Erasmus MC University Medical Center, Postbus 2040, 3000CA Rotterdam, The Netherlands.,Department of Pediatrics, Division of Neonatology, Erasmus MC University Medical Center, Postbus 2040, 3000CA Rotterdam, The Netherlands
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10
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Paul HA, Collins KH, Bomhof MR, Vogel HJ, Reimer RA. Potential Impact of Metabolic and Gut Microbial Response to Pregnancy and Lactation in Lean and Diet-Induced Obese Rats on Offspring Obesity Risk. Mol Nutr Food Res 2018; 62. [PMID: 29193674 DOI: 10.1002/mnfr.201700820] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Revised: 11/03/2017] [Indexed: 12/21/2022]
Abstract
SCOPE Maternal obesity programs metabolic dysfunction in offspring, increasing their susceptibility to obesity and metabolic diseases in later life. Moreover, pregnancy and lactation are associated with many metabolic adaptations, yet it is unclear how diet-induced maternal obesity may interrupt these processes. METHODS AND RESULTS 1 H NMR serum metabolomics analysis was performed on samples collected pre-pregnancy and in pregnant and lactating lean and high fat/sucrose (HFS) diet-induced obese Sprague-Dawley rats to identify maternal metabolic pathways associated with developmental programming of offspring obesity. Gut microbial composition was assessed using qPCR. Offspring of HFS dams had nearly 40% higher adiposity at weaning compared to offspring of lean dams. While pregnancy and lactation were associated with distinct maternal metabolic changes common to both lean and obese dams, we identified several metabolic differences, potentially implicating dysregulated one-carbon and mammary gland metabolism in the metabolic programming of obesity. Gut microbial composition was significantly altered with obesity, and both gestation and lactation were accompanied by changes in gut microbiota. CONCLUSION Diet-induced maternal obesity and consumption of an obesogenic maternal diet results in differential metabolic and gut microbial adaptations to pregnancy and lactation; these maladaptations may be directly involved in maternal programming of offspring susceptibility to obesity.
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Affiliation(s)
- Heather A Paul
- Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Kelsey H Collins
- Biomedical Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada.,Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada
| | - Marc R Bomhof
- Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada.,Department of Kinesiology and Physical Education, Faculty of Arts and Science, University of Lethbridge, Lethbridge, AB, Canada
| | - Hans J Vogel
- Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Biological Sciences, Bio-NMR Center, University of Calgary, Calgary, AB, Canada
| | - Raylene A Reimer
- Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada
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Lind MV, Lauritzen L, Pedersen O, Vestergaard H, Stark KD, Hansen T, Ross AB, Kristensen M. Higher intake of fish and fat is associated with lower plasma s-adenosylhomocysteine: a cross-sectional study. Nutr Res 2017; 46:78-87. [PMID: 29129471 DOI: 10.1016/j.nutres.2017.09.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Revised: 09/25/2017] [Accepted: 09/30/2017] [Indexed: 11/26/2022]
Abstract
Several B-vitamins act as co-factors in one-carbon metabolism, a pathway that plays a central role in several chronic diseases. However, there is a lack of knowledge of how diet affects markers in one-carbon metabolism. The aim of this study was to explore dietary patterns and components associated with one-carbon metabolites. We hypothesized that intake of whole-grains and fish would be associated with lower Hcy, and higher SAM:SAH ratio due to their nutrient content. We assessed dietary information using a four-day dietary record in 118 men and women with features of the metabolic syndrome. In addition we assessed whole-blood fatty acid composition and plasma alkylresorcinols. Plasma s-adenosylmethionine (SAM), s-adenosylhomocysteine (SAH), homocysteine (Hcy) and vitamin B12 was included as one-carbon metabolism markers. We used principal component analysis (PCA) to explore dietary patterns and multiple linear regression models to examine associations between dietary factors and one-carbon metabolites. PCA separated subjects based on prudent and unhealthy dietary patterns, but the dietary pattern score was not related to the one-carbon metabolites. Whole grain intake was found to be inversely associated to plasma Hcy (-4.7% (-9.3; 0.0), P=.05) and total grain intake tended to be positively associated with SAM and SAH (2.4% (-0.5; 5.5), P=.08; 5.8% (-0.2; 12.1), P=.06, respectively, per SD increase in cereal intake). Fish intake was inversely associated with plasma Hcy and SAH concentrations (-5.4% (-9.7; -0.8), P=.02 and -7.0% (-12.1; -1.5), P=.01, respectively) and positively associated with the SAM:SAH ratio (6.2% (1.6; 11.0), P=.008). In conclusion, intake and fish and whole-grain appear to be associated with a beneficial one-carbon metabolism profile. This indicates that dietary components could play a role in regulation of one-carbon metabolism with a potential impact on disease prevention.
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Affiliation(s)
- Mads V Lind
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Frederiksberg, Denmark; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
| | - Lotte Lauritzen
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Frederiksberg, Denmark
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Vestergaard
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Steno Diabetes Center, Gentofte, Denmark
| | - Ken D Stark
- Department of Kinesiology, University of Waterloo, 200 University Avenue, Waterloo, ON, Canada N2L 3G1
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Alastair B Ross
- Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Mette Kristensen
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Frederiksberg, Denmark
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van Wijngaarden JP, Dhonukshe-Rutten RAM, Brouwer-Brolsma EM, Enneman AW, Swart KMA, van Dijk SC, In 't Veld PH, van Schoor NM, van der Velde N, de Jonge R, Lips P, Uitterlinden AG, de Groot LCPGM. Vitamin B12 Intake and Related Biomarkers: Associations in a Dutch Elderly Population. J Nutr Health Aging 2017; 21:1268-1276. [PMID: 29188889 DOI: 10.1007/s12603-017-0911-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
BACKGROUND Vitamin B12 status is measured by four plasma/ serum biomarkers: total vitamin B12 (total B12), holotranscobalamin (holoTC), methylmalonic acid (MMA) and homocysteine (tHcy). Associations of B12 intake with holoTC and tHcy and associations between all four biomarkers have not been extensively studied. A better insight in these associations may contribute to an improved differentiation between vitamin B12 deficiency and a normal vitamin B12 status. OBJECTIVE This study investigates associations between vitamin B12 intake and biomarkers and associations between biomarkers. DESIGN In this cross-sectional observational study, levels of total B12, HoloTC, MMA and tHcy were determined in participants of the B-PROOF study: 2919 elderly people (≥65 years, with a mean age of 74.1 years, a mean BMI of 27.1 and 50% women) with elevated tHcy levels (≥12 µmol/L). B12 intake was assessed in a subsample. We assessed the association between intake and status with multivariate regression analysis. We explored the dose-response association between B12 intake and biomarkers and the association of total B12 and holoTC with tHcy and MMA with restricted cubic spline plots. RESULTS A doubling of B12 intake was associated with 9% higher total B12, 15% higher HoloTC, 9% lower MMA and 2% lower tHcy. Saturation of biomarkers occurs with dietary intakes of >5 μg B12. Spline regression showed that levels of MMA and tHcy started to rise when vitamin B12 levels fall below 330 pmol/L and with HoloTC levels below 100 pmol/L, with a sharp increase with levels of B12 and HoloTC below 220 and 50 pmol/L respectively. CONCLUSIONS In this study we observed a significant association between vitamin B12 intake and vitamin B12 biomarkers and between the biomarkers. The observed inflections for total B12 and holoTC with MMA and tHcy could indicate cut-off levels for further testing for B12 deficiency and determining subclinical B12 deficiency.
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Affiliation(s)
- J P van Wijngaarden
- JP van Wijngaarden, Wageningen University, Division of Human Nutrition, P.O. Box 8129, 6700 EV Wageningen, The Netherlands.
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13
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Troesch B, Weber P, Mohajeri MH. Potential Links between Impaired One-Carbon Metabolism Due to Polymorphisms, Inadequate B-Vitamin Status, and the Development of Alzheimer's Disease. Nutrients 2016; 8:E803. [PMID: 27973419 PMCID: PMC5188458 DOI: 10.3390/nu8120803] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2016] [Revised: 12/06/2016] [Accepted: 12/07/2016] [Indexed: 12/24/2022] Open
Abstract
Alzheimer's disease (AD) is the major cause of dementia and no preventive or effective treatment has been established to date. The etiology of AD is poorly understood, but genetic and environmental factors seem to play a role in its onset and progression. In particular, factors affecting the one-carbon metabolism (OCM) are thought to be important and elevated homocysteine (Hcy) levels, indicating impaired OCM, have been associated with AD. We aimed at evaluating the role of polymorphisms of key OCM enzymes in the etiology of AD, particularly when intakes of relevant B-vitamins are inadequate. Our review indicates that a range of compensatory mechanisms exist to maintain a metabolic balance. However, these become overwhelmed if the activity of more than one enzyme is reduced due to genetic factors or insufficient folate, riboflavin, vitamin B6 and/or vitamin B12 levels. Consequences include increased Hcy levels and reduced capacity to synthetize, methylate and repair DNA, and/or modulated neurotransmission. This seems to favor the development of hallmarks of AD particularly when combined with increased oxidative stress e.g., in apolipoprotein E (ApoE) ε4 carriers. However, as these effects can be compensated at least partially by adequate intakes of B-vitamins, achieving optimal B-vitamin status for the general population should be a public health priority.
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Affiliation(s)
- Barbara Troesch
- DSM Nutritional Products Ltd., Wurmisweg 576, Kaiseraugst 4303, Switzerland.
| | - Peter Weber
- DSM Nutritional Products Ltd., Wurmisweg 576, Kaiseraugst 4303, Switzerland.
| | - M Hasan Mohajeri
- DSM Nutritional Products Ltd., Wurmisweg 576, Kaiseraugst 4303, Switzerland.
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14
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Daan NMP, Muka T, Koster MPH, Roeters van Lennep JE, Lambalk CB, Laven JSE, Fauser CGKM, Meun C, de Rijke YB, Boersma E, Franco OH, Kavousi M, Fauser BCJM. Cardiovascular Risk in Women With Premature Ovarian Insufficiency Compared to Premenopausal Women at Middle Age. J Clin Endocrinol Metab 2016; 101:3306-15. [PMID: 27300572 DOI: 10.1210/jc.2016-1141] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
CONTEXT A young age at menopause has been associated with increased cardiovascular disease (CVD) risk. OBJECTIVE To compare the cardiovascular risk profile between women with premature ovarian insufficiency (POI) and premenopausal controls of comparable age. DESIGN Cross-sectional case control study. SETTING Two university medical centers. PARTICIPANTS Women above 45 years of age who were previously diagnosed with POI (n = 83) and premenopausal population controls of comparable age (n = 266). MAIN OUTCOME MEASURES Blood pressure, body mass index, waist circumference, electrocardiogram, bilateral carotid intima media thickness, estradiol, T, androstenedione, dehydroepiandrosterone sulfate, SHBG, insulin, glucose, lipids, TSH, free T4, N-terminal pro-B-type natriuretic peptide, C-reactive protein, uric acid, creatinine, and homocysteine were measured. Potential associations between POI status and subclinical atherosclerosis were assessed. RESULTS Women with POI exhibited an increased waist circumference (β = 5.7; 95% confidence interval [CI], 1.6, 9.9), C-reactive protein (β = 0.75; 95% CI, 0.43, 1.08), free T4 levels (β = 1.5; 95% CI, 0.6, 2.4), and lower N-terminal pro-B-type natriuretic peptide (β = -0.35; 95% CI, -0.62, -0.08), estradiol (β = -1.98; 95% CI, -2.48, -1.48), T (β = -0.21; 95% CI, -0.37, -0.06), and androstenedione (β = -0.54; 95% CI, -0.71, -0.38) concentrations compared to controls, after adjusting for confounders. After adjustment, a trend toward increased hypertension (odds ratio = 2.1; 95% CI, 0.99; 4.56) and decreased kidney function was observed in women with POI (creatinine β = 3.5; 95% CI, -0.05, 7.1; glomerular filtration rate β = -3.5; 95% CI, -7.5, 0.46). Women with POI exhibited a lower mean carotid intima media thickness (β = -0.17; 95% CI, -0.21, -0.13) and decreased odds of plaque presence compared to controls (odds ratio = 0.08; 95% CI, 0.03; 0.26). CONCLUSIONS Women with POI exhibited an unfavorable cardiovascular risk profile, including higher abdominal fat, elevated chronic inflammatory factors, and a trend toward increased hypertension and impaired kidney function compared to controls. However, we observed no signs of increased subclinical atherosclerosis in women with POI. Additional studies are required to identify specific determinants of long-term CVD risk in women with POI.
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Affiliation(s)
- Nadine M P Daan
- Department of Reproductive Medicine and Gynecology (N.M.P.D., M.P.H.K., B.C.J.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Epidemiology (T.M., O.H.F., M.K.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Internal Medicine (J.E.R.v.L.), Division Vascular Medicine, Erasmus Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Obstetrics and Gynecology (C.B.L.), VU University Medical Center Amsterdam, 1081 HV Amsterdam, The Netherlands; Department of Obstetrics and Gynecology (J.S.E.L., C.M.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Cardiology (C.G.K.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Clinical Chemistry (Y.B.d.R.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; and Department of Cardiology (E.B.), Erasmus MC, University Medical Center Rotterdam, Cardiovascular Research School Erasmus University Rotterdam, 3015 CE Rotterdam, The Netherlands
| | - Taulant Muka
- Department of Reproductive Medicine and Gynecology (N.M.P.D., M.P.H.K., B.C.J.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Epidemiology (T.M., O.H.F., M.K.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Internal Medicine (J.E.R.v.L.), Division Vascular Medicine, Erasmus Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Obstetrics and Gynecology (C.B.L.), VU University Medical Center Amsterdam, 1081 HV Amsterdam, The Netherlands; Department of Obstetrics and Gynecology (J.S.E.L., C.M.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Cardiology (C.G.K.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Clinical Chemistry (Y.B.d.R.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; and Department of Cardiology (E.B.), Erasmus MC, University Medical Center Rotterdam, Cardiovascular Research School Erasmus University Rotterdam, 3015 CE Rotterdam, The Netherlands
| | - Maria P H Koster
- Department of Reproductive Medicine and Gynecology (N.M.P.D., M.P.H.K., B.C.J.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Epidemiology (T.M., O.H.F., M.K.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Internal Medicine (J.E.R.v.L.), Division Vascular Medicine, Erasmus Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Obstetrics and Gynecology (C.B.L.), VU University Medical Center Amsterdam, 1081 HV Amsterdam, The Netherlands; Department of Obstetrics and Gynecology (J.S.E.L., C.M.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Cardiology (C.G.K.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Clinical Chemistry (Y.B.d.R.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; and Department of Cardiology (E.B.), Erasmus MC, University Medical Center Rotterdam, Cardiovascular Research School Erasmus University Rotterdam, 3015 CE Rotterdam, The Netherlands
| | - Jaenine E Roeters van Lennep
- Department of Reproductive Medicine and Gynecology (N.M.P.D., M.P.H.K., B.C.J.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Epidemiology (T.M., O.H.F., M.K.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Internal Medicine (J.E.R.v.L.), Division Vascular Medicine, Erasmus Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Obstetrics and Gynecology (C.B.L.), VU University Medical Center Amsterdam, 1081 HV Amsterdam, The Netherlands; Department of Obstetrics and Gynecology (J.S.E.L., C.M.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Cardiology (C.G.K.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Clinical Chemistry (Y.B.d.R.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; and Department of Cardiology (E.B.), Erasmus MC, University Medical Center Rotterdam, Cardiovascular Research School Erasmus University Rotterdam, 3015 CE Rotterdam, The Netherlands
| | - Cornelis B Lambalk
- Department of Reproductive Medicine and Gynecology (N.M.P.D., M.P.H.K., B.C.J.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Epidemiology (T.M., O.H.F., M.K.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Internal Medicine (J.E.R.v.L.), Division Vascular Medicine, Erasmus Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Obstetrics and Gynecology (C.B.L.), VU University Medical Center Amsterdam, 1081 HV Amsterdam, The Netherlands; Department of Obstetrics and Gynecology (J.S.E.L., C.M.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Cardiology (C.G.K.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Clinical Chemistry (Y.B.d.R.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; and Department of Cardiology (E.B.), Erasmus MC, University Medical Center Rotterdam, Cardiovascular Research School Erasmus University Rotterdam, 3015 CE Rotterdam, The Netherlands
| | - Joop S E Laven
- Department of Reproductive Medicine and Gynecology (N.M.P.D., M.P.H.K., B.C.J.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Epidemiology (T.M., O.H.F., M.K.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Internal Medicine (J.E.R.v.L.), Division Vascular Medicine, Erasmus Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Obstetrics and Gynecology (C.B.L.), VU University Medical Center Amsterdam, 1081 HV Amsterdam, The Netherlands; Department of Obstetrics and Gynecology (J.S.E.L., C.M.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Cardiology (C.G.K.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Clinical Chemistry (Y.B.d.R.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; and Department of Cardiology (E.B.), Erasmus MC, University Medical Center Rotterdam, Cardiovascular Research School Erasmus University Rotterdam, 3015 CE Rotterdam, The Netherlands
| | - Clemens G K M Fauser
- Department of Reproductive Medicine and Gynecology (N.M.P.D., M.P.H.K., B.C.J.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Epidemiology (T.M., O.H.F., M.K.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Internal Medicine (J.E.R.v.L.), Division Vascular Medicine, Erasmus Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Obstetrics and Gynecology (C.B.L.), VU University Medical Center Amsterdam, 1081 HV Amsterdam, The Netherlands; Department of Obstetrics and Gynecology (J.S.E.L., C.M.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Cardiology (C.G.K.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Clinical Chemistry (Y.B.d.R.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; and Department of Cardiology (E.B.), Erasmus MC, University Medical Center Rotterdam, Cardiovascular Research School Erasmus University Rotterdam, 3015 CE Rotterdam, The Netherlands
| | - Cindy Meun
- Department of Reproductive Medicine and Gynecology (N.M.P.D., M.P.H.K., B.C.J.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Epidemiology (T.M., O.H.F., M.K.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Internal Medicine (J.E.R.v.L.), Division Vascular Medicine, Erasmus Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Obstetrics and Gynecology (C.B.L.), VU University Medical Center Amsterdam, 1081 HV Amsterdam, The Netherlands; Department of Obstetrics and Gynecology (J.S.E.L., C.M.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Cardiology (C.G.K.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Clinical Chemistry (Y.B.d.R.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; and Department of Cardiology (E.B.), Erasmus MC, University Medical Center Rotterdam, Cardiovascular Research School Erasmus University Rotterdam, 3015 CE Rotterdam, The Netherlands
| | - Yolanda B de Rijke
- Department of Reproductive Medicine and Gynecology (N.M.P.D., M.P.H.K., B.C.J.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Epidemiology (T.M., O.H.F., M.K.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Internal Medicine (J.E.R.v.L.), Division Vascular Medicine, Erasmus Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Obstetrics and Gynecology (C.B.L.), VU University Medical Center Amsterdam, 1081 HV Amsterdam, The Netherlands; Department of Obstetrics and Gynecology (J.S.E.L., C.M.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Cardiology (C.G.K.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Clinical Chemistry (Y.B.d.R.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; and Department of Cardiology (E.B.), Erasmus MC, University Medical Center Rotterdam, Cardiovascular Research School Erasmus University Rotterdam, 3015 CE Rotterdam, The Netherlands
| | - Eric Boersma
- Department of Reproductive Medicine and Gynecology (N.M.P.D., M.P.H.K., B.C.J.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Epidemiology (T.M., O.H.F., M.K.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Internal Medicine (J.E.R.v.L.), Division Vascular Medicine, Erasmus Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Obstetrics and Gynecology (C.B.L.), VU University Medical Center Amsterdam, 1081 HV Amsterdam, The Netherlands; Department of Obstetrics and Gynecology (J.S.E.L., C.M.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Cardiology (C.G.K.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Clinical Chemistry (Y.B.d.R.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; and Department of Cardiology (E.B.), Erasmus MC, University Medical Center Rotterdam, Cardiovascular Research School Erasmus University Rotterdam, 3015 CE Rotterdam, The Netherlands
| | - Oscar H Franco
- Department of Reproductive Medicine and Gynecology (N.M.P.D., M.P.H.K., B.C.J.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Epidemiology (T.M., O.H.F., M.K.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Internal Medicine (J.E.R.v.L.), Division Vascular Medicine, Erasmus Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Obstetrics and Gynecology (C.B.L.), VU University Medical Center Amsterdam, 1081 HV Amsterdam, The Netherlands; Department of Obstetrics and Gynecology (J.S.E.L., C.M.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Cardiology (C.G.K.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Clinical Chemistry (Y.B.d.R.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; and Department of Cardiology (E.B.), Erasmus MC, University Medical Center Rotterdam, Cardiovascular Research School Erasmus University Rotterdam, 3015 CE Rotterdam, The Netherlands
| | - Maryam Kavousi
- Department of Reproductive Medicine and Gynecology (N.M.P.D., M.P.H.K., B.C.J.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Epidemiology (T.M., O.H.F., M.K.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Internal Medicine (J.E.R.v.L.), Division Vascular Medicine, Erasmus Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Obstetrics and Gynecology (C.B.L.), VU University Medical Center Amsterdam, 1081 HV Amsterdam, The Netherlands; Department of Obstetrics and Gynecology (J.S.E.L., C.M.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Cardiology (C.G.K.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Clinical Chemistry (Y.B.d.R.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; and Department of Cardiology (E.B.), Erasmus MC, University Medical Center Rotterdam, Cardiovascular Research School Erasmus University Rotterdam, 3015 CE Rotterdam, The Netherlands
| | - Bart C J M Fauser
- Department of Reproductive Medicine and Gynecology (N.M.P.D., M.P.H.K., B.C.J.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Epidemiology (T.M., O.H.F., M.K.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Internal Medicine (J.E.R.v.L.), Division Vascular Medicine, Erasmus Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Obstetrics and Gynecology (C.B.L.), VU University Medical Center Amsterdam, 1081 HV Amsterdam, The Netherlands; Department of Obstetrics and Gynecology (J.S.E.L., C.M.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; Department of Cardiology (C.G.K.M.F.), University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; Department of Clinical Chemistry (Y.B.d.R.), Erasmus MC, University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands; and Department of Cardiology (E.B.), Erasmus MC, University Medical Center Rotterdam, Cardiovascular Research School Erasmus University Rotterdam, 3015 CE Rotterdam, The Netherlands
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15
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Elshorbagy AK, Jernerén F, Samocha-Bonet D, Refsum H, Heilbronn LK. Serum S-adenosylmethionine, but not methionine, increases in response to overfeeding in humans. Nutr Diabetes 2016; 6:e192. [PMID: 26807510 PMCID: PMC4742722 DOI: 10.1038/nutd.2015.44] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2015] [Revised: 10/19/2015] [Accepted: 11/10/2015] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Plasma concentration of the methyl donor S-adenosylmethionine (SAM) is linearly associated with body mass index (BMI) and fat mass. As SAM is a high-energy compound and a sensor of cellular nutrient status, we hypothesized that SAM would increase with overfeeding. METHODS Forty normal to overweight men and women were overfed by 1250 kcal per day for 28 days. RESULTS Serum SAM increased from 106 to 130 nmol/l (P=0.006). In stratified analysis, only those with weight gain above the median (high-weight gainers; average weight gain 3.9±0.3 kg) had increased SAM (+42%, P=0.001), whereas low-weight gainers (weight gain 1.5±0.2 kg) did not (Pinteraction=0.018). Overfeeding did not alter serum concentrations of the SAM precursor, methionine or the products, S-adenosyl-homocysteine and homocysteine. The SAM/SAH (S-adenosylhomocysteine) ratio was unchanged in the total population, but increased in high-weight gainers (+52%, P=0.006, Pinteraction =0.005). Change in SAM correlated positively with change in weight (r=0.33, P=0.041) and fat mass (r=0.44, P=0.009), but not with change in protein intake or plasma methionine, glucose, insulin or low-density lipoprotein (LDL)-cholesterol. CONCLUSION Overfeeding raised serum SAM in proportion to the fat mass gained. The increase in SAM may help stabilize methionine levels, and denotes a responsiveness of SAM to nutrient state in humans. The role of SAM in human energy metabolism deserves further attention.
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Affiliation(s)
- A K Elshorbagy
- Department of Physiology, Faculty of Medicine, University of Alexandria, Alexandria, Egypt
| | - F Jernerén
- Department of Pharmacology, University of Oxford, Oxford, UK
| | - D Samocha-Bonet
- Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.,Division of Diabetes and Metabolism, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
| | - H Refsum
- Department of Pharmacology, University of Oxford, Oxford, UK.,Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - L K Heilbronn
- Division of Diabetes and Metabolism, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.,Discipline of Medicine, University of Adelaide, Adelaide, South Australia, Australia
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16
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Dietary Sources of Vitamin B-12 and Their Association with Vitamin B-12 Status Markers in Healthy Older Adults in the B-PROOF Study. Nutrients 2015; 7:7781-97. [PMID: 26389945 PMCID: PMC4586559 DOI: 10.3390/nu7095364] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Revised: 08/21/2015] [Accepted: 08/27/2015] [Indexed: 11/30/2022] Open
Abstract
Low vitamin B-12 concentrations are frequently observed among older adults. Malabsorption is hypothesized to be an important cause of vitamin B-12 inadequacy, but serum vitamin B-12 may also be differently affected by vitamin B-12 intake depending on food source. We examined associations between dietary sources of vitamin B-12 (meat, fish and shellfish, eggs, dairy) and serum vitamin B-12, using cross-sectional data of 600 Dutch community-dwelling adults (≥65 years). Dietary intake was assessed with a validated food frequency questionnaire. Vitamin B-12 concentrations were measured in serum. Associations were studied over tertiles of vitamin B-12 intake using P for trend, by calculating prevalence ratios (PRs), and splines. Whereas men had significantly higher vitamin B-12 intakes than women (median (25th–75th percentile): 4.18 (3.29–5.38) versus 3.47 (2.64–4.40) μg/day), serum vitamin B-12 did not differ between the two sexes (mean ± standard deviation (SD): 275 ± 104 pmol/L versus 290 ± 113 pmol/L). Higher intakes of dairy, meat, and fish and shellfish were significantly associated with higher serum vitamin B-12 concentrations, where meat and dairy—predominantly milk were the most potent sources. Egg intake did not significantly contribute to higher serum vitamin B-12 concentrations. Thus, dairy and meat were the most important contributors to serum vitamin B-12, followed by fish and shellfish.
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17
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Xiao Y, Su X, Huang W, Zhang J, Peng C, Huang H, Wu X, Huang H, Xia M, Ling W. Role of S-adenosylhomocysteine in cardiovascular disease and its potential epigenetic mechanism. Int J Biochem Cell Biol 2015; 67:158-66. [PMID: 26117455 DOI: 10.1016/j.biocel.2015.06.015] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2015] [Revised: 06/08/2015] [Accepted: 06/16/2015] [Indexed: 12/28/2022]
Abstract
Transmethylation reactions utilize S-adenosylmethionine (SAM) as a methyl donor and are central to the regulation of many biological processes: more than fifty SAM-dependent methyltransferases methylate a broad spectrum of cellular compounds including DNA, histones, phospholipids and other small molecules. Common to all SAM-dependent transmethylation reactions is the release of the potent inhibitor S-adenosylhomocysteine (SAH) as a by-product. SAH is reversibly hydrolyzed to adenosine and homocysteine by SAH hydrolase. Hyperhomocysteinemia is an independent risk factor for cardiovascular disease. However, a major unanswered question is if homocysteine is causally involved in disease pathogenesis or simply a passive and indirect indicator of a more complex mechanism. A chronic elevation in homocysteine levels results in a parallel increase in intracellular or plasma SAH, which is a more sensitive biomarker of cardiovascular disease than homocysteine and suggests that SAH is a critical pathological factor in homocysteine-associated disorders. Previous reports indicate that supplementation with folate and B vitamins efficiently lowers homocysteine levels but not plasma SAH levels, which possibly explains the failure of homocysteine-lowering vitamins to reduce vascular events in several recent clinical intervention studies. Furthermore, more studies are focusing on the role and mechanisms of SAH in different chronic diseases related to hyperhomocysteinemia, such as cardiovascular disease, kidney disease, diabetes, and obesity. This review summarizes the current role of SAH in cardiovascular disease and its effect on several related risk factors. It also explores possible the mechanisms, such as epigenetics and oxidative stress, of SAH. This article is part of a Directed Issue entitled: Epigenetic dynamics in development and disease.
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Affiliation(s)
- Yunjun Xiao
- Department of Nutrition and Food Hygiene, Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, China.
| | - Xuefen Su
- The Jockey Club School of Public Health and Primary Care, School of Public Health, The Chinese University of Hong Kong, Hong Kong, China
| | - Wei Huang
- Department of Nutrition and Food Hygiene, Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Jinzhou Zhang
- Department of Nutrition and Food Hygiene, Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Chaoqiong Peng
- Department of Nutrition and Food Hygiene, Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Haixiong Huang
- Department of Nutrition and Food Hygiene, Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Xiaomin Wu
- Department of Nutrition and Food Hygiene, Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Haiyan Huang
- Department of Nutrition and Food Hygiene, Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Min Xia
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wenhua Ling
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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18
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van Dijk SC, Enneman AW, van Meurs J, Swart KMA, Ham AH, van Wijngaarden JP, Brouwer-Brolsma EM, van der Zwaluw NL, van Schoor NM, Dhonukshe-Rutten RAM, de Groot LCPGM, Lips P, Uitterlinden AG, Blom H, Geleijnse JM, Feskens E, de Jongh RT, Smulders YM, van den Meiracker AH, Mattace-Raso FUS, van der Velde N. B-vitamin levels and genetics of hyperhomocysteinemia are not associated with arterial stiffness. Nutr Metab Cardiovasc Dis 2014; 24:760-766. [PMID: 24656138 DOI: 10.1016/j.numecd.2014.01.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2013] [Revised: 01/11/2014] [Accepted: 01/20/2014] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND AIMS Hyperhomocysteinemia is associated with arterial stiffness, but underlying pathophysiological mechanisms explaining this association are to be revealed. This study was aimed to explore two potential pathways concerning the one-carbon metabolism. A potential causal effect of homocysteine was explored using a genetic risk score reflecting an individual's risk of having a long-term elevated plasma homocysteine level and also associations with B-vitamin levels were investigated. METHODS AND RESULTS Baseline cross-sectional data of the B-PROOF study were used. In the cardiovascular subgroup (n = 567, 56% male, age 72.6 ± 5.6 yrs) pulse wave velocity (PWV) was determined using applanation tonometry. Plasma concentrations of vitamin B12, folate, methylmalonic acid (MMA) and holo transcobalamin (holoTC) were assessed and the genetic risk score was based on 13 SNPs being associated with elevated plasma homocysteine. Associations were examined using multivariable linear regression analysis. B-vitamin levels were not associated with PWV. The genetic risk score was also not associated with PWV. However, the homocysteine-gene interaction was significant (p < 0.001) in the association of the genetic risk score and PWV. Participants with the lowest genetic risk of having long-term elevated homocysteine levels, but with higher measured homocysteine levels, had the highest PWV levels. CONCLUSION Homocysteine is unlikely to be causally related to arterial stiffness, because there was no association with genetic variants causing hyperhomocysteinemia, whereas non-genetically determined hyperhomocysteinemia was associated with arterial stiffness. Moreover, the association between homocysteine and arterial stiffness was not mediated by B-vitamins. Possibly, high plasma homocysteine levels reflect an unidentified factor, that causes increased arterial stiffness.
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Affiliation(s)
- S C van Dijk
- Erasmus Medical Center, Department of Internal Medicine, Section of Geriatrics, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands.
| | - A W Enneman
- Erasmus Medical Center, Department of Internal Medicine, Section of Geriatrics, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands
| | - J van Meurs
- Erasmus Medical Center, Department of Internal Medicine, Section of Geriatrics, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands
| | - K M A Swart
- VU University Medical Center, EMGO Institute for Health and Care Research, Department of Epidemiology and Biostatistics, Amsterdam, the Netherlands
| | - A H Ham
- Erasmus Medical Center, Department of Internal Medicine, Section of Geriatrics, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands
| | - J P van Wijngaarden
- Wageningen University, Division of Human Nutrition, Wageningen, the Netherlands
| | - E M Brouwer-Brolsma
- Wageningen University, Division of Human Nutrition, Wageningen, the Netherlands
| | - N L van der Zwaluw
- Wageningen University, Division of Human Nutrition, Wageningen, the Netherlands
| | - N M van Schoor
- VU University Medical Center, EMGO Institute for Health and Care Research, Department of Epidemiology and Biostatistics, Amsterdam, the Netherlands
| | | | - L C P G M de Groot
- Wageningen University, Division of Human Nutrition, Wageningen, the Netherlands
| | - P Lips
- VU University Medical Center, EMGO Institute for Health and Care Research, Department of Epidemiology and Biostatistics, Amsterdam, the Netherlands
| | - A G Uitterlinden
- Erasmus Medical Center, Department of Internal Medicine, Section of Geriatrics, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands; Netherlands Consortium of Healthy Ageing, Rotterdam, the Netherlands; Netherlands Consortium of Healthy Ageing, Leiden, the Netherlands
| | - H Blom
- VU University Medical Center, Department of Clinical Chemistry, Metabolic Unit, Amsterdam, the Netherlands
| | - J M Geleijnse
- Wageningen University, Division of Human Nutrition, Wageningen, the Netherlands
| | - E Feskens
- Wageningen University, Division of Human Nutrition, Wageningen, the Netherlands
| | - R T de Jongh
- VU University Medical Center, Department of Internal Medicine, Amsterdam, the Netherlands
| | - Y M Smulders
- VU University Medical Center, Department of Internal Medicine, Amsterdam, the Netherlands; Institute for Cardiovascular Research ICaR-VU, Amsterdam, the Netherlands
| | - A H van den Meiracker
- Erasmus Medical Center, Department of Internal Medicine, Section of Geriatrics, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands
| | - F U S Mattace-Raso
- Erasmus Medical Center, Department of Internal Medicine, Section of Geriatrics, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands
| | - N van der Velde
- Erasmus Medical Center, Department of Internal Medicine, Section of Geriatrics, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands; Academic Medical Center, Department of Internal Medicine, Section of Geriatrics, Amsterdam, the Netherlands
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19
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Na YK, Hong HS, Lee DH, Lee WK, Kim DS. Effect of body mass index on global DNA methylation in healthy Korean women. Mol Cells 2014; 37:467-72. [PMID: 24938226 PMCID: PMC4086340 DOI: 10.14348/molcells.2014.0073] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2014] [Revised: 05/21/2014] [Accepted: 05/26/2014] [Indexed: 12/19/2022] Open
Abstract
Obesity is known to be strongly associated with cardiovascular disease and cancer, the leading causes of mortality worldwide, and develops owing to interactions between genes and the environment. DNA methylation can act as a downstream effector of environmental signals, and analysis of this process therefore holds substantial promise for identifying mechanisms through which genetic and environmental factors jointly contribute to disease risk. Global DNA methylation of peripheral blood cells has recently been proposed as a potential biomarker for disease risk. Repetitive element DNA methylation has been shown to be associated with prominent obesity-related chronic diseases, but little is known about its relationship with weight status. In this study, we quantified the methylation of Alu elements in the peripheral blood DNA of 244 healthy women with a range of body mass indexes (BMIs) using pyrosequencing technology. Among the study participants, certain clinical laboratory parameters, including hemoglobin, serum glutamic oxaloacetic transaminase, serum glutamic-pyruvic transaminase, total cholesterol, and triglyceride levels were found to be strongly associated with BMI. Moreover, a U-shaped association between BMI and Alu methylation was observed, with the lowest methylation levels occurring at BMIs of between 23 and 30 kg/m(2). However, there was no significant association between Alu methylation and age, smoking status, or alcohol consumption. Overall, we identified a differential influence of BMI on global DNA methylation in healthy Korean women, indicating that BMI-related changes in Alu methylation might play a complex role in the etiology and pathogenesis of obesity. Further studies are required to elucidate the mechanisms underlying this relationship.
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Affiliation(s)
| | | | | | | | - Dong Sun Kim
- Department of Anatomy and Brain Korea 21 Plus KNU Biomedical Convergence Program
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20
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Monteiro JP, Wise C, Morine MJ, Teitel C, Pence L, Williams A, McCabe-Sellers B, Champagne C, Turner J, Shelby B, Ning B, Oguntimein J, Taylor L, Toennessen T, Priami C, Beger RD, Bogle M, Kaput J. Methylation potential associated with diet, genotype, protein, and metabolite levels in the Delta Obesity Vitamin Study. GENES & NUTRITION 2014; 9:403. [PMID: 24760553 PMCID: PMC4026438 DOI: 10.1007/s12263-014-0403-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2014] [Accepted: 04/06/2014] [Indexed: 12/28/2022]
Abstract
Micronutrient research typically focuses on analyzing the effects of single or a few nutrients on health by analyzing a limited number of biomarkers. The observational study described here analyzed micronutrients, plasma proteins, dietary intakes, and genotype using a systems approach. Participants attended a community-based summer day program for 6-14 year old in 2 years. Genetic makeup, blood metabolite and protein levels, and dietary differences were measured in each individual. Twenty-four-hour dietary intakes, eight micronutrients (vitamins A, D, E, thiamin, folic acid, riboflavin, pyridoxal, and pyridoxine) and 3 one-carbon metabolites [homocysteine (Hcy), S-adenosylmethionine (SAM), and S-adenosylhomocysteine (SAH)], and 1,129 plasma proteins were analyzed as a function of diet at metabolite level, plasma protein level, age, and sex. Cluster analysis identified two groups differing in SAM/SAH and differing in dietary intake patterns indicating that SAM/SAH was a potential marker of nutritional status. The approach used to analyze genetic association with the SAM/SAH metabolites is called middle-out: SNPs in 275 genes involved in the one-carbon pathway (folate, pyridoxal/pyridoxine, thiamin) or were correlated with SAM/SAH (vitamin A, E, Hcy) were analyzed instead of the entire 1M SNP data set. This procedure identified 46 SNPs in 25 genes associated with SAM/SAH demonstrating a genetic contribution to the methylation potential. Individual plasma metabolites correlated with 99 plasma proteins. Fourteen proteins correlated with body mass index, 49 with group age, and 30 with sex. The analytical strategy described here identified subgroups for targeted nutritional interventions.
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Affiliation(s)
- Jacqueline Pontes Monteiro
- />Department of Pediatrics, Faculty of Medicine, Faculty of Nutrition and Metabolism, University of São Paulo, Ribeirão Prêto, SP Brazil
| | - Carolyn Wise
- />Division of Personalized Nutrition and Medicine, National Center for Toxicological Research (NCTR), Food and Drug Administration (FDA), Jefferson, AR USA
| | - Melissa J. Morine
- />Department of Mathematics, University of Trento, Trento, Italy
- />The Microsoft Research, University of Trento Centre for Computational and Systems Biology (COSBI), Rovereto, Italy
| | - Candee Teitel
- />Division of Personalized Nutrition and Medicine, National Center for Toxicological Research (NCTR), Food and Drug Administration (FDA), Jefferson, AR USA
| | - Lisa Pence
- />Division of Systems Biology, NCTR/FDA, Jefferson, AR USA
| | - Anna Williams
- />Division of Personalized Nutrition and Medicine, National Center for Toxicological Research (NCTR), Food and Drug Administration (FDA), Jefferson, AR USA
| | - Beverly McCabe-Sellers
- />Delta Obesity Prevention Research Unit, United States Department of Agriculture, Agricultural Research Service, Little Rock, AR USA
| | - Catherine Champagne
- />Dietary Assessment and Nutrition Counseling, Pennington Biomedical Research Center, Baton Rouge, LA USA
| | - Jerome Turner
- />Boys, Girls, Adults Community Development Center & The Phillips County Community Partners, Marvell, AR USA
| | - Beatrice Shelby
- />Boys, Girls, Adults Community Development Center & The Phillips County Community Partners, Marvell, AR USA
| | - Baitang Ning
- />Division of Personalized Nutrition and Medicine, National Center for Toxicological Research (NCTR), Food and Drug Administration (FDA), Jefferson, AR USA
| | - Joan Oguntimein
- />Shepherd Program for the Interdisciplinary Study of Poverty and Human Capability, Washington and Lee University, Lexington, VA USA
- />Medical School, Drexel University, Philadelphia, PA USA
| | - Lauren Taylor
- />Shepherd Program for the Interdisciplinary Study of Poverty and Human Capability, Washington and Lee University, Lexington, VA USA
- />Emory School of Public Health, Atlanta, GA USA
| | - Terri Toennessen
- />Division of Personalized Nutrition and Medicine, National Center for Toxicological Research (NCTR), Food and Drug Administration (FDA), Jefferson, AR USA
| | - Corrado Priami
- />Department of Mathematics, University of Trento, Trento, Italy
- />The Microsoft Research, University of Trento Centre for Computational and Systems Biology (COSBI), Rovereto, Italy
| | | | - Margaret Bogle
- />Delta Obesity Prevention Research Unit, United States Department of Agriculture, Agricultural Research Service, Little Rock, AR USA
| | - Jim Kaput
- />Systems Nutrition and Health Unit, Nestle Institute of Health Sciences, Innovation Square, EPFL Campus, 1015 Lausanne, Switzerland
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21
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Elshorbagy AK, Nijpels G, Valdivia-Garcia M, Stehouwer CDA, Ocke M, Refsum H, Dekker JM. S-adenosylmethionine is associated with fat mass and truncal adiposity in older adults. J Nutr 2013; 143:1982-8. [PMID: 24068793 DOI: 10.3945/jn.113.179192] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
S-adenosylmethionine (SAM) is synthesized from methionine, which is abundant in animal-derived protein, in an energy-consuming reaction. SAM and S-adenosylhomocysteine (SAH) correlate with body mass index (BMI). Plasma total concentration of the SAM-associated product cysteine (tCys) correlates with fat mass in humans and cysteine promotes adiposity in animals. In a cross-sectional study of 610 participants, we investigated whether SAM and SAH are associated with BMI via lean mass or fat mass and dietary protein sources as determinants of SAM and tCys concentrations. Plasma SAM was not associated with lean mass, but mean adjusted fat mass increased from 24 kg (95% CI: 22.6, 25.1) to 30 kg (95% CI: 28.7, 31.3) across SAM quartiles (P < 0.001) and trunk fat:total fat ratio increased from 0.48 to 0.52 (P < 0.001). Erythrocyte SAM was also positively associated with fat mass and trunk fat:total fat ratio. The association of SAM with fat mass was not weakened by adjustment for serum tCys, lipids, creatinine, or dietary or lifestyle confounders. Concentrations of the SAM precursor, methionine, and the SAM product, SAH, were not independently associated with adiposity. Intake of animal-derived protein was not related to serum methionine but was positively associated with plasma SAM (partial r = 0.11) and serum tCys (partial r = 0.13; P < 0.05 for both after adjustment for age, gender, and total energy intake). In conclusion, plasma SAM, but not methionine, is independently associated with fat mass and truncal adiposity, suggesting increased conversion of methionine to SAM in obese individuals. Prospective studies are needed to investigate the interactions among dietary energy and animal protein content, SAM concentrations, and change in body weight and cardiometabolic risk.
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22
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Jackson MI, Lunøe K, Gabel-Jensen C, Gammelgaard B, Combs GF. Metabolism of selenite to selenosugar and trimethylselenonium in vivo: tissue dependency and requirement for S-adenosylmethionine-dependent methylation. J Nutr Biochem 2013; 24:2023-30. [PMID: 24139672 DOI: 10.1016/j.jnutbio.2013.04.007] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2012] [Revised: 04/18/2013] [Accepted: 04/18/2013] [Indexed: 11/17/2022]
Abstract
Impaired S-adenosylmethionine (SAM)-dependent transmethylation and methylation capacity feature in diseases related to obesity or aging, and selenium (Se) metabolism is altered in these states. We tested the hypothesis that SAM metabolism is required for methylation and excretion of Se in a rat model. Four hours after selenite and periodate-oxidized adenosine (POA; an inhibitor of SAM metabolism) were administered, circulating markers of single-carbon status were unchanged, except for decreased circulating phosphatidylcholine (P<.05). In contrast, liver and kidney SAM and S-adenosylhomocysteine were elevated (P<.05 for all). Concentrations of total Se were significantly elevated in both liver (P<.001) and kidney (P<.01), however the degree of accumulation in liver was significantly greater than that of kidney (P<.05). Red blood cell Se levels were decreased (P=.01). Trimethylselenonium levels were decreased in liver and kidney (P=.001 for both tissues) and Se-methyl-N-acetylselenohexosamine selenosugar was decreased in liver (P=.001). Urinary output of both trimethylselenonium (P=.001) and selenosugar (P=.01) was decreased as well. Trimethylselenonium production is more inhibited by POA than is selenosugar production (P<.05). This work indicates that low molecular weight Se metabolism requires SAM-dependent methylation, and disrupting the conversion of SAM to S-adenosylhomocysteine prevents conversion of selenite and intermediate metabolites to final excretory forms, suggesting implications for selenium supplementation under conditions where transmethylation is suboptimal, such as in the case of obese or aging individuals.
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Affiliation(s)
- Matthew I Jackson
- Grand Forks Human Nutrition Research Center; ARS-USDA, North Dakota, USA.
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23
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Vinknes KJ, Dekker JM, Drevon CA, Refsum H, Nurk E, Nijpels G, Stehouwer CDA, Teerlink T, Tell GS, Nygård O, Vollset SE, Ueland PM, Elshorbagy AK. Plasma sulfur amino acids and stearoyl-CoA desaturase activity in two Caucasian populations. Prostaglandins Leukot Essent Fatty Acids 2013; 89:297-303. [PMID: 24120123 DOI: 10.1016/j.plefa.2013.09.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2013] [Revised: 09/04/2013] [Accepted: 09/09/2013] [Indexed: 12/29/2022]
Abstract
In rats, dietary restriction of the cysteine precursor methionine suppresses hepatic stearoyl-CoA desaturase (SCD)-1 expression and activity, whereas cysteine supplementation reverses these effects. In 2 independent cohorts: Hordaland Health Study (HUSK; N=2021, aged 71-74y), Norway, and Hoorn study (N=686, aged 50-87y), Netherlands, we examined the cross-sectional associations of plasma sulfur-containing compounds (SCC; methionine, S-adenosylmethionine, S-adenosylhomocysteine, homocysteine, cystathionine, total cysteine (tCys), glutathione and cysteinylglycine) with SCD-16 index (16:1n-7/16:0), estimated from fatty acid profiles of total plasma or serum lipids. Only tCys was consistently associated with SCD-16 index after adjustments for sex and age (HUSK: partial r=0.14; Hoorn: partial r=0.11, P<0.001 for both), and after further adjustments for other SCC, body fat, diet, exercise and plasma lipids (HUSK: partial r=0.07, P=0.004; Hoorn: partial r=0.12, P=0.013). Together with animal data showing an effect of dietary cysteine on SCD1, our results suggest a role for cysteine in SCD1 regulation in humans.
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Affiliation(s)
- K J Vinknes
- Department of Nutrition, Institute of Basic Medical Science, Faculty of Medicine, University of Oslo, Post box 1046 Blindern, 0317 Oslo, Norway.
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24
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Inoue-Choi M, Nelson HH, Robien K, Arning E, Bottiglieri T, Koh WP, Yuan JM. Plasma S-adenosylmethionine, DNMT polymorphisms, and peripheral blood LINE-1 methylation among healthy Chinese adults in Singapore. BMC Cancer 2013; 13:389. [PMID: 23957506 PMCID: PMC3765398 DOI: 10.1186/1471-2407-13-389] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2012] [Accepted: 08/15/2013] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Global hypomethylation of repetitive DNA sequences is believed to occur early in tumorigenesis. There is a great interest in identifying factors that contribute to global DNA hypomethylation and associated cancer risk. We tested the hypothesis that plasma S-adenosylmethionine (SAM) level alone or in combination with genetic variation in DNA methyltransferases (DNMT1, DNMT3A and DNMT3B) was associated with global DNA methylation extent at long interspersed nucleotide element-1 (LINE-1) sequences. METHODS Plasma SAM level and LINE-1 DNA methylation index were measured using stored blood samples collected from 440 healthy Singaporean Chinese adults during 1994-1999. Genetic polymorphisms of 13 loci in DNMT1, DNMT3A and DNMT3B were determined. RESULTS LINE-1 methylation index was significantly higher in men than in women (p = 0.001). LINE-1 methylation index was positively associated with plasma SAM levels (p ≤ 0.01), with a plateau at approximately 78% of LINE-1 methylation index (55 nmol/L plasma SAM) in men and 77% methylation index (50 nmol/L plasma SAM) in women. In men only, the T allele of DNMT1 rs21124724 was associated with a statistically significantly higher LINE-1 methylation index (ptrend = 0.001). The DNMT1 rs2114724 genotype modified the association between plasma SAM and LINE-1 methylation index at low levels of plasma SAM in men. CONCLUSIONS Circulating SAM level was associated with LINE-1 methylation status among healthy Chinese adults. The DNMT1 genetic polymorphism may exert a modifying effect on the association between SAM and LINE-1 methylation status in men, especially when plasma SAM level is low. Our findings support a link between plasma SAM and global DNA methylation status at LINE-1 sequences.
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Affiliation(s)
- Maki Inoue-Choi
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, USA
| | - Heather H Nelson
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, USA
| | - Kim Robien
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, USA
- Department of Epidemiology and Biostatistics, George Washington University, Washington, USA
| | - Erland Arning
- Institute of Metabolic Disease, Baylor Research Institute, Dallas, USA
| | | | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Jian-Min Yuan
- Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, USA
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, USA
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25
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Beurskens LWJE, Schrijver LH, Tibboel D, Wildhagen MF, Knapen MFCM, Lindemans J, de Vries J, Steegers-Theunissen RPM. Dietary vitamin A intake below the recommended daily intake during pregnancy and the risk of congenital diaphragmatic hernia in the offspring. ACTA ACUST UNITED AC 2013; 97:60-6. [PMID: 23283831 DOI: 10.1002/bdra.23093] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2012] [Revised: 09/17/2012] [Accepted: 09/25/2012] [Indexed: 01/26/2023]
Abstract
BACKGROUND Vitamin A has been related to the etiology of congenital diaphragmatic hernia (CDH). We performed a case-control study to investigate whether maternal dietary vitamin A intake is related to CDH in the offspring. METHODS Thirty-one pregnancies diagnosed with CDH and 46 control pregnancies were included during the study. After CDH diagnosis and inclusion of controls by risk set sampling, maternal vitamin A intake was investigated with a food frequency questionnaire. Serum retinol and retinol-binding protein were determined. Univariable and multivariable logistic regression models were used to calculate risk estimates with adjustment for potential confounders. RESULTS We found no significant differences in the overall nutrient and vitamin A intake between case and control mothers. After stratification in body mass index (BMI) categories, case mothers with normal weight showed a lower energy adjusted vitamin A intake (685 vs. 843 μg retinol activity equivalents [RAEs] / day; p = 0.04) and a slightly lower serum retinol (1.58 vs. 1.67 μmol/L; p = 0.08) than control mothers. Vitamin A intake <800 μg retinol activity equivalents (recommended daily intake) in normal weight mothers was associated with a significantly increased CDH risk (odds ratio [OR], 7.2; 95% confidence interval [CI], 1.5-34.4; p = 0.01). Associations were not significantly different in underweight and overweight mothers. CONCLUSIONS In normal-weight mothers, dietary vitamin A intake during pregnancy below the recommended daily intake is significantly associated with an increased risk of a child with CDH. This finding supports the retinoid hypothesis in human CDH, but warrants further investigation in larger study populations. Birth Defects Research (Part A), 2013. © 2013 Wiley Periodicals, Inc.
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Jackson MI, Cao J, Zeng H, Uthus E, Combs GF. S-adenosylmethionine-dependent protein methylation is required for expression of selenoprotein P and gluconeogenic enzymes in HepG2 human hepatocytes. J Biol Chem 2012; 287:36455-64. [PMID: 22932905 DOI: 10.1074/jbc.m112.412932] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
Cellular methylation processes enable expression of gluconeogenic enzymes and metabolism of the nutrient selenium. Selenium status has been proposed to relate to type II diabetes risk, and plasma levels of selenoprotein P (SEPP1) have been positively correlated with insulin resistance. Increased expression of gluconeogenic enzymes glucose-6-phosphatase (G6PC) and phosphoenolpyruvate carboxykinase 1 (PCK1) has negative consequences for blood glucose management in type II diabetics. Transcriptional regulation of SEPP1 is directed by the same transcription factors that control the expression of G6PC and PCK1, and these factors are activated by methylation of arginine residues. We sought to determine whether expression of SEPP1 and the aforementioned glucoconeogenic enzymes are regulated by protein methylation, the levels of which are reliant upon adequate S-adenosylmethionine (SAM) and inhibited by S-adenosylhomocysteine (SAH). We treated a human hepatocyte cell line, HepG2, with inhibitors of adenosylhomocysteine hydrolase (AHCY) known to increase concentration of SAH before analysis of G6PC, PCK1, and SEPP1 expression. Increasing SAH decreased 1) the SAM/SAH ratio, 2) protein-arginine methylation, and 3) expression of SEPP1, G6PC, and PCK1 transcripts. Furthermore, hormone-dependent induction of gluconeogenic enzymes was reduced by inhibition of protein methylation. When protein-arginine methyltransferase 1 expression was reduced by siRNA treatment, G6PC expression was inhibited. These findings demonstrate that hepatocellular SAM-dependent protein methylation is required for both SEPP1 and gluconeogenic enzyme expression and that inhibition of protein arginine methylation might provide a route to therapeutic interventions in type II diabetes.
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Affiliation(s)
- Matthew I Jackson
- Grand Forks Human Nutrition Research Center, Agricultural Research Service, United States Department of Agriculture, Grand Forks, North Dakota 58203, USA.
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Beurskens LW, de Jonge R, Schoonderwaldt EM, Tibboel D, Steegers-Theunissen RP. Biomarkers of the one-carbon pathway in association with congenital diaphragmatic hernia. ACTA ACUST UNITED AC 2012; 94:557-60. [DOI: 10.1002/bdra.23039] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2012] [Revised: 05/01/2012] [Accepted: 05/02/2012] [Indexed: 01/27/2023]
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Enneman AW, van der Velde N, de Jonge R, Heil SG, Stolk L, Hofman A, Rivadeneira F, Zillikens MC, Uitterlinden AG, van Meurs JBJ. The association between plasma homocysteine levels, methylation capacity and incident osteoporotic fractures. Bone 2012; 50:1401-5. [PMID: 22465697 DOI: 10.1016/j.bone.2012.03.013] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2011] [Revised: 03/02/2012] [Accepted: 03/13/2012] [Indexed: 02/03/2023]
Abstract
BACKGROUND An elevated level of plasma homocysteine (Hcy) is a known risk factor for osteoporotic fractures. In addition, Hcy is related to DNA-methylation metabolism. To determine whether the association between Hcy and fractures is explained by an altered methylation capacity, we investigated the associations between levels of s-adenosylmethionine (SAM) and S-adenosylhomocysteine (SAH) and fracture risk. METHODS We studied 503 females aged 55 years and over from the Rotterdam Study (RS) in whom plasma Hcy, SAM and SAH levels were measured. Bone mineral density (BMD) at the hip was assessed using DXA. Incident fractures were recorded over a mean period of 7.0 years. Cox proportional hazards analysis and linear regression were used to assess relationships between plasma metabolite levels, incident osteoporotic fractures and BMD. RESULTS Over a total of 3502 person-years of follow-up, 103 subjects sustained at least one osteoporotic fracture. Whereas incidence of osteoporotic fractures was associated with quartiles of Hcy (p=0.047), it was not associated with quartiles of SAM, SAH or SAM/SAH-ratio (all p for trend>0.6). Stepwise linear regression showed that SAM/SAH-ratio, but not Hcy, was independently associated with hip BMD (β=0.073, p=0.025). CONCLUSION Since SAM, SAH and SAM/SAH-ratio were not associated with osteoporotic fractures, alterations in methylation capacity most likely do not appear to be an important factor in the association between Hcy and fractures.
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Affiliation(s)
- A W Enneman
- Erasmus MC, Department of Internal Medicine, Postbus 2040, 3000 CA Rotterdam, The Netherlands.
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King WD, Ho V, Dodds L, Perkins SL, Casson RI, Massey TE. Relationships among biomarkers of one-carbon metabolism. Mol Biol Rep 2012; 39:7805-12. [PMID: 22528334 DOI: 10.1007/s11033-012-1623-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2011] [Accepted: 04/16/2012] [Indexed: 01/13/2023]
Abstract
One-carbon metabolism is a network of metabolic pathways, disruption of which has been associated with cancer and other pathological conditions. Biomarkers of these pathways include homocysteine (HCY), S-adenosylmethionine (SAM), and S-adenosylhomocysteine (SAH). A better understanding of the relationships between these biomarkers is needed for their utilization in research. This study investigated the relationships between fasting concentrations of plasma HCY, SAM, SAH and the ratio of SAM:SAH, and serum folate, vitamin B(12) and creatinine in a healthy adult population. A cross-sectional study recruited 678 volunteers; only subjects with complete data (n = 581) were included in this analysis. Correlations were used to examine bivariate relationships among the biomarkers and multivariate linear regression determined independent relationships with HCY, SAM and SAH treated as dependent variables in separate models. Multivariate logistic regression examined determinants of a low SAM:SAH ratio (defined as having a SAM:SAH ratio in the bottom quartile and SAH value in the top quartile). HCY correlated inversely with folate and vitamin B(12) and weakly correlated with SAH and creatinine. Both SAM and SAH correlated with creatinine but were independent of serum folate and vitamin B(12). In multivariate analyses, folate, vitamin B(12), creatinine, sex and age were associated with HCY; age and creatinine were determinants of SAM, and sex and creatinine determinants of SAH. Finally, male sex and increasing creatinine levels were associated with having a low SAM:SAH ratio. Findings suggest that HCY, SAM and SAH are relatively independent parameters and reflect distinct aspects of one-carbon metabolism.
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Affiliation(s)
- Will D King
- Department of Community Health and Epidemiology, Queen's University, Carruthers Hall, Kingston, ON K7L 3N6, Canada.
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Jung AY, Smulders Y, Verhoef P, Kok FJ, Blom H, Kok RM, Kampman E, Durga J. No effect of folic acid supplementation on global DNA methylation in men and women with moderately elevated homocysteine. PLoS One 2011; 6:e24976. [PMID: 21966393 PMCID: PMC3179474 DOI: 10.1371/journal.pone.0024976] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2011] [Accepted: 08/23/2011] [Indexed: 11/19/2022] Open
Abstract
A global loss of cytosine methylation in DNA has been implicated in a wide range of diseases. There is growing evidence that modifications in DNA methylation can be brought about by altering the intake of methyl donors such as folate. We examined whether long-term daily supplementation with 0.8 mg of folic acid would increase global DNA methylation compared with placebo in individuals with elevated plasma homocysteine. We also investigated if these effects were modified by MTHFR C677T genotype. Two hundred sixteen participants out of 818 subjects who had participated in a randomized double-blind placebo-controlled trial were selected, pre-stratified on MTHFR C677T genotype and matched on age and smoking status. They were allocated to receive either folic acid (0.8 mg/d; n = 105) or placebo treatment (n = 111) for three years. Peripheral blood leukocyte DNA methylation and serum and erythrocyte folate were assessed. Global DNA methylation was measured using liquid chromatography-tandem mass spectrometry and expressed as a percentage of 5-methylcytosines versus the total number of cytosine. There was no difference in global DNA methylation between those randomized to folic acid and those in the placebo group (difference = 0.008, 95%CI = −0.05,0.07, P = 0.79). There was also no difference between treatment groups when we stratified for MTHFR C677T genotype (CC, n = 76; CT, n = 70; TT, n = 70), baseline erythrocyte folate status or baseline DNA methylation levels. In moderately hyperhomocysteinemic men and women, long-term folic acid supplementation does not increase global DNA methylation in peripheral blood leukocytes. ClinicalTrials.gov NCT00110604
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Affiliation(s)
- Audrey Y Jung
- Department of Epidemiology, Biostatistics, and HTA, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands.
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Tao MH, Marian C, Nie J, Ambrosone C, Krishnan SS, Edge SB, Trevisan M, Shields PG, Freudenheim JL. Body mass and DNA promoter methylation in breast tumors in the Western New York Exposures and Breast Cancer Study. Am J Clin Nutr 2011; 94:831-8. [PMID: 21775555 PMCID: PMC3155934 DOI: 10.3945/ajcn.110.009365] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND The mechanism of the observed association between body mass, particularly centralized body fat, and postmenopausal breast cancer risk is not well understood. OBJECTIVE We hypothesized that body mass may affect DNA methylation through increased estrogen and chronic inflammation. The association between body mass and promoter methylation in breast tumors was investigated in a population-based, case-control study. DESIGN The promoter methylation of E-cadherin, p16, and RAR-β(2) genes was assessed in breast tumor blocks from 803 pre- and postmenopausal cases by using real-time methylation-specific polymerase chain reaction. Unconditional logistic regression was used to derive the adjusted OR and 95% CI for case-case comparisons of tumors with and without promoter methylation of the genes. RESULTS The frequency of promoter methylation was 20% for E-cadherin, 25.9% for p16, and 27.5% for RAR-β(2). There was no difference in the prevalence of the DNA methylation of individual genes by BMI, waist-to-hip ratio (WHR), or lifetime weight change between the age of 20 y and the present. However, in a case-case comparison of postmenopausal breast cancer, a greater WHR was associated with an increased likelihood of ≥1 of the 3 genes being methylated (OR: 1.85; 95% CI: 1.10, 3.11; P-trend < 0.02). CONCLUSIONS We showed that WHR was associated with DNA promoter methylation of ≥1 of 3 genes in postmenopausal breast tumors. It may be that the association of body fat composition and postmenopausal breast cancer is related to altered DNA methylation. However, future studies in other populations and with an examination of the methylation of more genes are needed.
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Affiliation(s)
- Meng-Hua Tao
- Department of Social and Preventive Medicine, School of Public Health and Health Professions, University at Buffalo, NY, USA.
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Obermann-Borst SA, Vujkovic M, de Vries JH, Wildhagen MF, Looman CW, de Jonge R, Steegers EAP, Steegers-Theunissen RPM. A maternal dietary pattern characterised by fish and seafood in association with the risk of congenital heart defects in the offspring. BJOG 2011; 118:1205-15. [PMID: 21585642 DOI: 10.1111/j.1471-0528.2011.02984.x] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
OBJECTIVE To identify maternal dietary patterns related to biomarkers of methylation and to investigate associations between these dietary patterns and the risk of congenital heart defects (CHDs) in the offspring. DESIGN Case-control study. SETTING Western part of the Netherlands, 2003-08. POPULATION One hundred and seventy-nine mothers of children with CHD and 231 mothers of children without a congenital malformation. METHODS Food intake was obtained by food frequency questionnaires. The reduced rank regression method was used to identify dietary patterns related to the biomarker concentrations of methylation in blood. MAIN OUTCOME MEASURES Dietary patterns, vitamin B and homocysteine concentrations, biomarkers of methylation (S-adenosylmethionine [SAM] and S-adenosylhomocysteine [SAH]) and the risk of CHD estimated by odds ratios and 95% confidence intervals. RESULTS The one-carbon-poor dietary pattern, comprising a high intake of snacks, sugar-rich products and beverages, was associated with SAH (β = 0.92, P < 0.001). The one-carbon-rich dietary pattern with high fish and seafood intake was associated with SAM (β = 0.44, P < 0.001) and inversely with SAH (β =-0.08, P < 0.001). Strong adherence to this dietary pattern resulted in higher serum (P <0.05) and red blood cell (P < 0.01) folate and a reduced risk of CHD in offspring: odds ratio, 0.3 (95% confidence interval, 0.2-0.6). CONCLUSIONS The one-carbon-rich dietary pattern, characterised by the high intake of fish and seafood, is associated with a reduced risk of CHD. This finding warrants further investigation in a randomised intervention trial.
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Affiliation(s)
- S A Obermann-Borst
- Division of Obstetrics and Prenatal Medicine, Department of Obstetrics and Gynaecology, Erasmus MC, University Medical Centre, Rotterdam, The Netherlands
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Relation of body mass index to blood folate and total homocysteine concentrations in Japanese adults. Eur J Nutr 2011; 50:581-5. [PMID: 21221977 DOI: 10.1007/s00394-010-0165-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2010] [Accepted: 12/22/2010] [Indexed: 12/16/2022]
Abstract
PURPOSE Plasma folate concentrations are suggested to be negatively associated with body mass index (BMI, kg/m(2)), although these findings are controversial. Our objective was to evaluate the association of BMI with blood folate and total homocysteine (tHcy) concentrations. METHODS We measured plasma and erythrocyte folate and plasma tHcy concentrations in 434 healthy adults (343 women and 91 men; mean age of 63.8 ± 10.7 [SD, range 23-88] years), who participated in a 2007 population-based survey in western Japan. RESULTS The overall mean plasma and erythrocyte folate and tHcy were 21.6 (±11.0, SD) nmol/L, 844 (±291) nmol/L and 11.6 (±3.9) μmol/L, respectively. The mean BMI was 22.8 (±3.0; 15.6-33.3) kg/m(2), and only 72 subjects (17%) had BMI > 26.0 kg/m(2). Mean plasma folate decreased as BMI increased (p-trend < 0.01), whereas mean erythrocyte folate and plasma tHcy were similar regardless of BMI (p-trends = 0.49 and 0.28, respectively). CONCLUSION Our data indicate that the interpretation of plasma folate concentrations to assess folate nutritional status is complicated by BMI, although the impact of BMI on plasma folate was relatively small. It is important to take this association into account for the selection of subjects for future large-scale studies. The mechanism of this inverse association between BMI and plasma folate concentrations should be investigated.
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van Driel LM, Zwolle LJ, de Vries JH, Boxmeer JC, Lindemans J, Steegers EA, Steegers-Theunissen RP. The preconception nutritional status of women undergoing fertility treatment: Use of a one-year post-delivery assessment. ACTA ACUST UNITED AC 2010. [DOI: 10.1016/j.eclnm.2010.10.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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MTHFR genotype and differential evolution of metabolic parameters after initiation of a second generation antipsychotic: an observational study. Int Clin Psychopharmacol 2010; 25:270-6. [PMID: 20523222 DOI: 10.1097/yic.0b013e32833bc60d] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Most second-generation antipsychotics (SGAs) induce metabolic disturbances, but large differences exist in the degree to which individual patients develop these. Little is known about genetic factors associated with differential liability. Cross-sectional studies suggested an association between polymorphisms in 5,10-methylenetetraydrofolate reductase (MTHFR) and metabolic syndrome in patients with schizophrenia. This study aimed to assess whether the C677T (rs1801133) or A1298C (rs1801131) polymorphism in the MTHFR gene predict differential evolution of metabolic parameters over the course of a 3-month follow-up period after initiation of an SGA. One hundred and four patients with schizophrenia initiated on a SGA were measured at baseline, 6 weeks and 3 months. MTHFR A1298C, but not C677T, genotype predicted pos-baseline increases in weight [beta=2.5, standard error (SE)=0.92, P=0.006], waist circumference (beta=2.0, SE=1.0, P=0.050), fasting glucose (beta=2.8, SE=1.2, P=0.024) and glucose at 120 min during the Oral Glucose Tolerance Test (beta=10.7, SE=4.5, P=0.018) following a de novo metabolic challenge with a specific SGA. A1298C allele carriers consistently displayed the most unfavorable evolution of metabolic parameters. Thus, MTHFR A1298C genotype may explain part of the individual liability to metabolic disturbances in patients with schizophrenia.
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