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Zawieja E, Chmurzynska A. Betaine and aging: A narrative review of findings, possible mechanisms, research perspectives, and practical recommendations. Ageing Res Rev 2025; 104:102634. [PMID: 39647584 DOI: 10.1016/j.arr.2024.102634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2024] [Revised: 11/28/2024] [Accepted: 12/05/2024] [Indexed: 12/10/2024]
Abstract
The rapid aging of the global population necessitates addressing age-related conditions through innovative strategies. Nutritional supplements have emerged as potential interventions for preventing or slowing age-related changes, with betaine being a promising candidate. This systematic review aims to provide a comprehensive analysis of current literature on the impact of betaine on the aging process. Specifically, we summarize the mechanisms through which betaine is proposed to affect aging, we integrate existing findings, we identify gaps in the literature, and we discuss practical implications for promoting healthy aging. Evidence suggests that betaine may counteract aging-related changes in methylation potential by increasing concentration of S-adenosylmethionine, a key methyl donor. Additionally, betaine reduces homocysteine concentrations, potentially mitigating vascular, neurodegenerative, and oxidative damage. Betaine has also been shown to enhance mitochondrial function, to reduce oxidative stress, and to attenuate inflammation. It may serve as a preventive agent against sarcopenia by promoting anabolic signaling pathways and improving muscle strength in younger adults. Betaine may also exert an effect on bone remodeling and adipose tissue metabolism, with animal studies indicating enhanced fat oxidation and reduced fat synthesis. Although certain limited studies have suggested betaine's potential in mitigating age-related neurodegenerative diseases, the currently available evidence does not establish a clear link between dietary betaine intake and the incidence of cardiovascular diseases or type-2 diabetes. In conclusion, emerging evidence highlights the potential of betaine in attenuating age-related changes. However, further research is required to elucidate the efficacy and safety of betaine supplementation in older populations.
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Affiliation(s)
- Emilia Zawieja
- Department of Human Nutrition and Dietetics, Poznań University of Life Sciences, ul. Wojska Polskiego 31, Poznań 60-624, Poland.
| | - Agata Chmurzynska
- Department of Human Nutrition and Dietetics, Poznań University of Life Sciences, ul. Wojska Polskiego 31, Poznań 60-624, Poland
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Mlodzik-Czyzewska MA, Szwengiel A, Chmurzynska A. Betaine and B 12 Intake, Glutathione Concentration, and MTHFR, PEMT, and MTHFD1 Genotypes Are Associated with Diabetes-Related Parameters in Polish Adults. J Nutr 2025; 155:111-121. [PMID: 39442756 DOI: 10.1016/j.tjnut.2024.10.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2024] [Revised: 10/07/2024] [Accepted: 10/15/2024] [Indexed: 10/25/2024] Open
Abstract
BACKGROUND There is a growing body of evidence on associations between one-carbon metabolism (OCM) and diabetes-related parameters. OBJECTIVES For this reason, we aimed to examine the associations of plasma choline, betaine, trimethylamine N-oxide (TMAO), glutathione (GSH), serum folate, vitamin B12, dihydrofolate reductase (rs70991108) genotype, methylenetetrahydrofolate reductase (MTHFR) (rs180113) genotype, methylenetetrahydrofolate dehydrogenase (MTHFD1) (rs2236225) genotype, and phosphatidylethanolamine N-methyltransferase (rs7946 and rs12325817) genotype with fasting glucose level, insulin level, and diabetes-related indices. METHODS The study group consisted of 421 Polish adults aged 20-40 y. Food intake was assessed using a 3-d food diary. Plasma concentrations of choline, betaine, and TMAO were determined by ultra-high-performance liquid chromatography-electrospray ionization mass spectrometry. The total plasma GSH level was measured by high-performance liquid chromatography. Insulin, folate, and vitamin B12 concentrations were estimated by enzyme-linked immunosorbent assay method. Genotyping was performed with TaqMan probes. RESULTS GSH level was negatively associated with insulin (β = -0.11, P < 0.05) and gamma-glutamyl transferase (GGTP) (β = -0.12, P < 0.05), and positively associated with fasting glucose (β = 0.11, P < 0.05). Betaine intake was negatively associated with serum insulin concentration (β = -0.13, P < 0.05) and HOMA-IR (β = -0.12, P < 0.05). Choline intake was negatively associated with insulin (β = -0.17, P < 0.01). Serum folate level was negatively associated with GGTP (β = -0.11; P < 0.05). The methylenetetrahydrofolate reductase (MTHFR) CC genotype was associated with higher serum insulin levels (β = 0.15; P < 0.01) and higher HOMA-IR (β = 0.15, P < 0.01), whereas the MTHFD1 AA genotype was negatively associated with Quantitative Insulin Sensitivity Check Index (β = -0.11, P < 0.05). CONCLUSIONS Our findings suggest that higher GSH level and higher intake of betaine, B12, and choline, as well as the TT genotype of MTHFR and the AA genotype of MTHFD1, are associated with lower diabetes-related parameters among adults.
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Affiliation(s)
| | - Artur Szwengiel
- Department of Fermentation and Biosynthesis, Institute of Food Technology of Plant Origin, Poznań University of Life Sciences, Poznań, Poland
| | - Agata Chmurzynska
- Department of Human Nutrition and Dietetics, Poznań University of Life Sciences, Poznań, Poland.
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Sprinkles JK, Lulla A, Hullings AG, Trujillo-Gonzalez I, Klatt KC, Jacobs DR, Shah RV, Murthy VL, Howard AG, Gordon-Larsen P, Meyer KA. Choline Metabolites and 15-Year Risk of Incident Diabetes in a Prospective Cohort of Adults: Coronary Artery Risk Development in Young Adults (CARDIA) Study. Diabetes Care 2024; 47:1985-1994. [PMID: 39259767 PMCID: PMC11502527 DOI: 10.2337/dc24-1033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2024] [Accepted: 08/22/2024] [Indexed: 09/13/2024]
Abstract
OBJECTIVE The potential for choline metabolism to influence the development of diabetes has received increased attention. Previous studies on circulating choline metabolites and incident diabetes have been conducted in samples of older adults, often with a high prevalence of risk factors. RESEARCH DESIGN AND METHODS Participants were from year 15 of follow-up (2000-2001) in the Coronary Artery Risk Development in Young Adults (CARDIA) Study (n = 3,133, aged 33-45 years) with plasma choline metabolite (choline, betaine, and trimethylamine N-oxide [TMAO]) data. We quantified associations between choline metabolites and 15-year risk of incident diabetes (n = 387) among participants free of diabetes at baseline using Cox proportional hazards regression models adjusted for sociodemographics, health behaviors, and clinical variables. RESULTS Betaine was inversely associated with 15-year risk of incident diabetes (hazard ratio 0.76 [95% CI 0.67, 0.88] per 1-SD unit betaine), and TMAO was positively associated with 15-year risk of incident diabetes (1.11 [1.01, 1.22] per 1-SD unit). Choline was not significantly associated with 15-year risk of incident diabetes (1.05 [0.94, 1.16] per 1-SD). CONCLUSIONS Our findings are consistent with other published literature supporting a role for choline metabolism in diabetes. Our study extends the current literature by analyzing a racially diverse population-based cohort of early middle-aged individuals in whom preventive activities may be most relevant.
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Affiliation(s)
- Jessica K. Sprinkles
- Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Anju Lulla
- Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC
| | - Autumn G. Hullings
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Isis Trujillo-Gonzalez
- Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Kevin C. Klatt
- Department of Nutrition Sciences and Toxicology, University of California, Berkeley, Berkeley, CA
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota-Twin Cities, Minneapolis, MN
| | - Ravi V. Shah
- Department of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN
| | | | - Annie Green Howard
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Penny Gordon-Larsen
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Katie A. Meyer
- Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC
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Lamkin K, Xu L, Wang K, Liu Y, Yang K, Wu H, Lu L, Shen X, Johnson CM, Jia J, Zhu J. Choline and betaine intakes during pregnancy in relation to risk of gestational diabetes mellitus among Chinese women. Br J Nutr 2024; 132:971-978. [PMID: 39429119 PMCID: PMC11576091 DOI: 10.1017/s0007114524001995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 06/04/2024] [Accepted: 07/11/2024] [Indexed: 10/22/2024]
Abstract
Previous animal studies found beneficial effects of choline and betaine on maternal glucose metabolism during pregnancy, but few human studies explored the association between choline or betaine intake and incident gestational diabetes mellitus (GDM). We aimed to explore the correlation of dietary choline or betaine intake with GDM risk among Chinese pregnant women. A total of 168 pregnant women with GDM cases and 375 healthy controls were enrolled at the Seventh People's Hospital in Shanghai during their GDM screening at 24-28 gestational weeks. A validated semi-quantitative FFQ was used to estimate choline and betaine consumption through face-to-face interviews. An unconditional logistic regression model was adopted to examine OR and 95 % CI. Compared with the controls, those women with GDM incidence were likely to have higher pre-pregnancy BMI, be older, have more parities and have higher plasma TAG and lower plasma HDL-cholesterol. No significant correlation was observed between the consumption of choline or betaine and incident GDM (adjusted OR (95 % CI), 0·77 (0·41, 1·43) for choline; 0·80 (0·42, 1·52) for betaine). However, there was a significant interaction between betaine intake and parity on the risk of GDM (Pfor interaction = 0·01). Among those women with no parity history, there was a significantly inverse correlation between betaine intake and GDM risk (adjusted OR (95 % CI), 0·25 (0·06, 0·81)). These findings indicated that higher dietary betaine intake during pregnancy might be considered a protective factor for GDM among Chinese women with no parity history.
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Affiliation(s)
- Kallie Lamkin
- Nutrition and Foods Program, School of Family and Consumer Sciences, Texas State University, San Marcos, TX78666, USA
| | - Lan Xu
- Department of Epidemiology, School of Medicine, Shanghai Jiao Tong University, Shanghai200025, People’s Republic of China
| | - Kaipeng Wang
- Graduate School of Social Work, University of Denver, Denver, CO80208, USA
| | - Yuhong Liu
- Department of Gynecology and Obstetrics, Shanghai Seventh People’s Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai200137, People’s Republic of China
| | - Kefeng Yang
- Department of Clinical Nutrition, College of Heath Science and Technology, School of Medicine, Shanghai Jiao Tong University, Shanghai200025, People’s Republic of China
- Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai200092, People’s Republic of China
| | - Hui Wu
- Department of Clinical Nutrition, Shanghai Seventh People’s Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai200137, People’s Republic of China
| | - Lingpeng Lu
- Department of Clinical Laboratory, Shanghai Seventh People’s Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai200137, People’s Republic of China
| | - Xiaoxi Shen
- Department of Mathematics, Texas State University, San Marcos, TX78666, USA
| | - Cassandra M. Johnson
- Nutrition and Foods Program, School of Family and Consumer Sciences, Texas State University, San Marcos, TX78666, USA
| | - Jie Jia
- Department of Clinical Nutrition, College of Heath Science and Technology, School of Medicine, Shanghai Jiao Tong University, Shanghai200025, People’s Republic of China
- Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai200092, People’s Republic of China
| | - Jie Zhu
- Nutrition and Foods Program, School of Family and Consumer Sciences, Texas State University, San Marcos, TX78666, USA
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Sharifi-Zahabi E, Soltani S, Asiaei S, Dehesh P, Mohsenpour MA, Shidfar F. Higher dietary choline intake is associated with increased risk of all-cause and cause-specific mortality: A systematic review and dose-response meta-analysis of cohort studies. Nutr Res 2024; 130:48-66. [PMID: 39341000 DOI: 10.1016/j.nutres.2024.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 09/01/2024] [Accepted: 09/01/2024] [Indexed: 09/30/2024]
Abstract
Evidence indicates that choline and betaine intakes are associated with mortality. Based on the available evidence, we hypothesized that dietary choline and betaine do not increase mortality risk. This meta-analysis was conducted to investigate the association of dietary choline and betaine with mortality from all causes, cardiovascular diseases, and stroke. Online databases including PubMed, Scopus, Web of Science, Embase, and Google Scholar were searched up to 9 March 2024. Six cohort studies comprising 482,778 total participants, 57,235 all-cause, 9351 cardiovascular disease, and 4,400 stroke deaths were included in this study. The linear dose-response analysis showed that each 100 mg/day increase in choline intake was significantly associated with 6% and 11% increases in risk of all-cause (RR = 1.06, 95% CI: 1.03, 1.10, I2 =83.7%, P < .001) and cardiovascular diseases mortality (RR = 1.11, 95% CI: 1.06, 1.16, I2 = 54.3%, P = .02) respectively. However, dietary betaine, was not associated with the risk of mortality. Furthermore, the result of the nonlinear dose-response analysis showed a significant relationship between betaine intake and stroke mortality at the dosages of 50 to 250 mg/day (Pnon-linearity= .0017). This study showed that each 100 mg/day increment in choline consumption was significantly associated with a 6% and 11% higher risk of all-cause and cardiovascular disease mortality respectively. In addition, a significant positive relationship between betaine intake and stroke mortality at doses of 50 to 250 mg/day was observed. Due to the small number of the included studies and heterogeneity among them more well-designed prospective observational studies considering potential confounding variables are required.
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Affiliation(s)
| | - Sepideh Soltani
- Yazd Cardiovascular Research Center, Noncommunicable Diseases Research Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Sahar Asiaei
- Department of Exercise Physiology, Central Tehran Branch, Islamic Azad University, Tehran, Iran
| | - Paria Dehesh
- Social Determinants of Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran; Department of Biostatistics and Epidemiology, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran
| | - Mohammad Ali Mohsenpour
- Department of Clinical Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran; Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Farzad Shidfar
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
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Al-Sulaiti H, Anwardeen N, Bashraheel SS, Naja K, Elrayess MA. Alterations in Choline Metabolism in Non-Obese Individuals with Insulin Resistance and Type 2 Diabetes Mellitus. Metabolites 2024; 14:457. [PMID: 39195553 DOI: 10.3390/metabo14080457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Revised: 08/06/2024] [Accepted: 08/13/2024] [Indexed: 08/29/2024] Open
Abstract
The prevalence of non-obese individuals with insulin resistance (IR) and type 2 diabetes (T2D) is increasing worldwide. This study investigates the metabolic signature of phospholipid-associated metabolites in non-obese individuals with IR and T2D, aiming to identify potential biomarkers for these metabolic disorders. The study cohort included non-obese individuals from the Qatar Biobank categorized into three groups: insulin sensitive, insulin resistant, and patients with T2D. Each group comprised 236 participants, totaling 708 individuals. Metabolomic profiling was conducted using high-resolution mass spectrometry, and statistical analyses were performed to identify metabolites associated with the progression from IS to IR and T2D. The study observed significant alterations in specific phospholipid metabolites across the IS, IR, and T2D groups. Choline phosphate, glycerophosphoethanolamine, choline, glycerophosphorylcholine (GPC), and trimethylamine N-oxide showed significant changes correlated with disease progression. A distinct metabolic signature in non-obese individuals with IR and T2D was characterized by shifts in choline metabolism, including decreased levels of choline and trimethylamine N-oxide and increased levels of phosphatidylcholines, phosphatidylethanolamines, and their degradation products. These findings suggest that alterations in choline metabolism may play a critical role in the development of glucose intolerance and insulin resistance. Targeting choline metabolism could offer potential therapeutic strategies for treating T2D. Further research is needed to validate these biomarkers and understand their functional significance in the pathogenesis of IR and T2D in non-obese populations.
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Affiliation(s)
- Haya Al-Sulaiti
- Department of Biomedical Sciences, College of Health Sciences, QU Health, Qatar University, Doha P.O. Box 2713, Qatar
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar
| | - Najeha Anwardeen
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar
| | - Sara S Bashraheel
- College of Medicine, QU Health, Qatar University, Doha P.O. Box 2713, Qatar
| | - Khaled Naja
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar
| | - Mohamed A Elrayess
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar
- College of Medicine, QU Health, Qatar University, Doha P.O. Box 2713, Qatar
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Toyama M, Satoh M, Nakayama S, Hashimoto H, Muroya T, Murakami T, Hirose T, Obara T, Nakaya N, Mori T, Ohkubo T, Imai Y, Hozawa A, Metoki H. Combined effects of blood pressure and glucose status on the risk of chronic kidney disease. Hypertens Res 2024; 47:1831-1841. [PMID: 38671217 PMCID: PMC11224015 DOI: 10.1038/s41440-024-01683-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 03/24/2024] [Accepted: 03/31/2024] [Indexed: 04/28/2024]
Abstract
This study aimed to assess the combined effects of blood pressure (BP) and glucose status on chronic kidney disease (CKD) incidence in young and middle-aged adults. We examined data from 1,297,341 Japanese individuals aged <60 years (60.1% men; mean age 41.4 ± 9.3 years) with no history of CKD at baseline. The interval-censored Cox proportional hazards model with covariates was used. During a median follow-up period of 2.1 years, new onset CKD (estimated glomerular filtration rate <60 ml/min/1.73 m2 and/or proteinuria) occurred in 80,187 participants. In participants without antihypertensive treatment (AHT), the adjusted hazard ratios (95% confidence interval) per 1-standard deviation, that is, 15 mmHg increase in systolic BP for CKD incidence, were 1.08 (1.07-1.09), 1.12 (1.10-1.13), and 1.15 (1.12-1.18) in normoglycemia, borderline glycemia, and diabetes groups, respectively. These ratios were significantly higher in the borderline glycemia and diabetes groups compared with those in the normoglycemia group (interaction p < 0.0001). The interaction between BP and borderline glycemia was evident when the outcome definition was restricted to proteinuria. In participants under AHT, systolic BP was most strongly associated with CKD risk in the diabetes group, although no significant interaction was observed. High BP and high glucose status may synergistically increase the incidence of CKD. Strict BP management may play an important role in the early prevention of CKD in individuals with worse glucose status within the young and middle-aged population. This large-scale longitudinal cohort study showed high BP and diabetes synergistically increased the risk of CKD in individuals without AHT. Strict BP management may play an important role in the early prevention of CKD in individuals with worse glucose status within the young and middle-aged population.
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Affiliation(s)
- Maya Toyama
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Division of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
- Department of Nephrology, Self-Defense Forces Sendai Hospital, Sendai, Japan
| | - Michihiro Satoh
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
- Division of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan.
- Department of Pharmacy, Tohoku Medical and Pharmaceutical University Hospital, Sendai, Japan.
| | - Shingo Nakayama
- Division of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
- Division of Nephrology and Endocrinology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Hideaki Hashimoto
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Division of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
- Division of Nephrology and Endocrinology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Tomoko Muroya
- Division of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
- Division of Internal Medicine, Izumi Hospital, Sendai, Japan
| | - Takahisa Murakami
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Division of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
- Division of Aging and Geriatric Dentistry, Department of Rehabilitation Dentistry, Tohoku University Graduate School of Dentistry, Sendai, Japan
| | - Takuo Hirose
- Division of Nephrology and Endocrinology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
- Department of Endocrinology and Applied Medical Science, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Taku Obara
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Naoki Nakaya
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Takefumi Mori
- Division of Nephrology and Endocrinology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Takayoshi Ohkubo
- Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
- Tohoku Institute for Management of Blood Pressure, Sendai, Japan
| | - Yutaka Imai
- Tohoku Institute for Management of Blood Pressure, Sendai, Japan
| | - Atsushi Hozawa
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Hirohito Metoki
- Division of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
- Tohoku Institute for Management of Blood Pressure, Sendai, Japan
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Zhu J, Saikia G, Zhang X, Shen X, Kahe K. One-Carbon Metabolism Nutrients, Genetic Variation, and Diabetes Mellitus. Diabetes Metab J 2024; 48:170-183. [PMID: 38468500 PMCID: PMC10995489 DOI: 10.4093/dmj.2023.0272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 02/22/2024] [Indexed: 03/13/2024] Open
Abstract
Diabetes mellitus (DM) affects about 9.3% of the population globally. Hyperhomocysteinemia (HHcy) has been implicated in the pathogenesis of DM, owing to its promotion of oxidative stress, β-cell dysfunction, and insulin resistance. HHcy can result from low status of one-carbon metabolism (OCM) nutrients (e.g., folate, choline, betaine, vitamin B6, B12), which work together to degrade homocysteine by methylation. The etiology of HHcy may also involve genetic variation encoding key enzymes in OCM. This review aimed to provide an overview of the existing literature assessing the link between OCM nutrients status, related genetic factors, and incident DM. We also discussed possible mechanisms underlying the role of OCM in DM development and provided recommendations for future research and practice. Even though the available evidence remains inconsistent, some studies support the potential beneficial effects of intakes or blood levels of OCM nutrients on DM development. Moreover, certain variants in OCM-related genes may influence metabolic handling of methyl-donors and presumably incidental DM. Future studies are warranted to establish the causal inference between OCM and DM and examine the interaction of OCM nutrients and genetic factors with DM development, which will inform the personalized recommendations for OCM nutrients intakes on DM prevention.
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Affiliation(s)
- Jie Zhu
- Nutrition and Foods Program, School of Family and Consumer Sciences, Texas State University, San Marcos, TX, USA
| | - Gunjana Saikia
- Nutrition and Foods Program, School of Family and Consumer Sciences, Texas State University, San Marcos, TX, USA
| | - Xiaotao Zhang
- Institute for Translational Epidemiology & Division of Liver Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Xiaoxi Shen
- Department of Mathematics, Texas State University, San Marcos, TX, USA
| | - Ka Kahe
- Department of Obstetrics and Gynecology, Vagelos College of Physician and Surgeons, Columbia University, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
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Piccionello AP, Sassaroli S, Pennasilico L, Rossi G, Di Cerbo A, Riccio V, Di Bella C, Laghi L, Angelini M, Marini C, Magi GE. Comparative study of 1H-NMR metabolomic profile of canine synovial fluid in patients affected by four progressive stages of spontaneous osteoarthritis. Sci Rep 2024; 14:3627. [PMID: 38351089 PMCID: PMC10864333 DOI: 10.1038/s41598-024-54144-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 02/08/2024] [Indexed: 02/16/2024] Open
Abstract
The study aimed to assess the metabolomic profile of the synovial fluid (SF) of dogs affected by spontaneous osteoarthritis (OA) and compare any differences based on disease progression. Sixty client-owned dogs affected by spontaneous OA underwent clinical, radiographic, and cytologic evaluations to confirm the diagnosis. The affected joints were divided into four study groups based on the Kallgreen-Lawrence classification: OA1 (mild), OA2 (moderate), OA3 (severe), and OA4 (extremely severe/deforming). The osteoarthritic joint's SF was subjected to cytologic examination and 1H-NMR analysis. The metabolomic profiles of the study groups' SF samples were statistically compared using one-way ANOVA. Sixty osteoarthritic joints (45 stifles, 10 shoulders and 5 elbows) were included in the study. Fourteen, 28, and 18 joints were included in the OA1, OA2, and OA3 groups, respectively (0 joints in the OA4 group). Metabolomic analysis identified 48 metabolites, five of which were significantly different between study groups: Mannose and betaine were elevated in the OA1 group compared with the OA2 group, and the 2-hydroxyisobutyrate concentration decreased with OA progression; in contrast, isoleucine was less concentrated in mild vs. moderate OA, and lactate increased in severe OA. This study identified different 1H-NMR metabolomic profiles of canine SF in patients with progressive degrees of spontaneous OA, suggesting 1H-NMR metabolomic analysis as a potential alternative method for monitoring OA progression. In addition, the results suggest the therapeutic potentials of the metabolomic pathways that involve mannose, betaine, 2-hydroxyisobutyrate, isoleucine, and lactate.
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Affiliation(s)
| | - Sara Sassaroli
- School of Biosciences and Veterinary Medicine, University of Camerino, 62024, Matelica, Italy
| | - Luca Pennasilico
- School of Biosciences and Veterinary Medicine, University of Camerino, 62024, Matelica, Italy.
| | - Giacomo Rossi
- School of Biosciences and Veterinary Medicine, University of Camerino, 62024, Matelica, Italy
| | - Alessandro Di Cerbo
- School of Biosciences and Veterinary Medicine, University of Camerino, 62024, Matelica, Italy
| | - Valentina Riccio
- School of Biosciences and Veterinary Medicine, University of Camerino, 62024, Matelica, Italy
| | - Caterina Di Bella
- School of Biosciences and Veterinary Medicine, University of Camerino, 62024, Matelica, Italy
| | - Luca Laghi
- Department of Agro-Food Science and Technology, University of Bologna, 47023, Cesena, Italy
| | - Maddalena Angelini
- School of Biosciences and Veterinary Medicine, University of Camerino, 62024, Matelica, Italy
| | - Carlotta Marini
- School of Biosciences and Veterinary Medicine, University of Camerino, 62024, Matelica, Italy
| | - Gian Enrico Magi
- School of Biosciences and Veterinary Medicine, University of Camerino, 62024, Matelica, Italy
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10
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Hosseini-Esfahani F, Koochakpoor G, Golzarand M, Mirmiran P, Azizi F. Dietary Intakes of Choline and Betaine and Incidence of Type 2 Diabetes: Tehran Lipid and Glucose Study. Metab Syndr Relat Disord 2023; 21:573-580. [PMID: 37816243 DOI: 10.1089/met.2023.0096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/12/2023] Open
Abstract
Background: Our knowledge for the possible link between choline and betaine and the risk of type 2 diabetes (T2D) is very limited and contradictory. This study aimed to investigate the prospective association of dietary choline and betaine intakes with the risk of T2D in a group of Tehranian adults. Methods: In this prospective study, 6022 eligible subjects aged ≥18 years were chosen from the participants of the Tehran Lipid and Glucose Study in a secondary analysis. Diet was assessed based on a valid and reliable semiquantitative food frequency questionnaire. At baseline and follow-up examinations, biochemical and anthropometric variables were assessed. Multivariable Cox proportional hazard regression models was used to estimate the new onset of T2D concerning choline and betaine intake. Results: The mean age ± SD of 2707 men and 3315 women were, respectively, 41.4 ± 14.2 and 39.1 ± 13.1. During a median follow-up of 6.63 years, 528 cases of T2D incidence were diagnosed. Participants with a higher intake of choline had a higher intake of protein, fiber, and B12 and a lower intake of energy and carbohydrates. After controlling of confounders a significant positive association was observed between choline intake and the hazard ratio (HR) of T2D across quartiles of choline intake [HR (CI) in the fourth quartile: 1.25 (1.14-1.38), P trend = 0.01], but this significant finding was not reported for betaine intake. For every 100 milligram increase in choline consumption, the HR of T2D increased significantly in all age, sex, and BMI subgroups. Conclusions: Choline consumption increased the risk of T2D in total population and subgroups. No statistically significant association was found between dietary betaine intake and the risk of T2D in total population and subgroups.
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Affiliation(s)
- Firoozeh Hosseini-Esfahani
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Mahdieh Golzarand
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Parvin Mirmiran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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11
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Kumar A, Prajapati P, Raj V, Kim SC, Mishra V, Raorane CJ, Raj R, Kumar D, Kushwaha S. Salbutamol ameliorates skeletal muscle wasting and inflammatory markers in streptozotocin (STZ)-induced diabetic rats. Int Immunopharmacol 2023; 124:110883. [PMID: 37666067 DOI: 10.1016/j.intimp.2023.110883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 08/13/2023] [Accepted: 08/29/2023] [Indexed: 09/06/2023]
Abstract
Diabetes accelerates muscle atrophy, leading to the deterioration of skeletal muscles. This study aimed to assess the potential of the β2-adrenoceptor agonist, salbutamol (SLB), to alleviate muscle atrophy in streptozotocin (STZ)-induced diabetic rats. Male Sprague Dawley rats were randomized into four groups (n=6): control, SLB, STZ (55 mg/kg, single i.p.), and STZ + SLB (6 mg/kg, orally for 4 weeks). After the final SLB dose, animals underwent tests to evaluate muscle strength and coordination, including forelimb grip strength, wire-hanging, actophotometer, rotarod, and footprint assessments. Rats were then sacrificed, and serum and gastrocnemius (GN) muscles were collected for further analysis. Serum evaluations included proinflammatory markers (tumor necrosis factor α, interleukin-1β, interleukin-6), muscle markers (creatine kinase, myostatin), testosterone, and lipidemic markers. Muscle oxidative stress (malonaldehyde, protein carbonyl), antioxidants (glutathione, catalase, superoxide dismutase), and histology were also performed. Additionally, 1H nuclear magnetic resonance serum profiling was conducted. SLB notably enhanced muscle grip strength, coordination, and antioxidant levels, while reduced proinflammatory markers and oxidative stress in STZ-induced diabetic rats. Reduced serum muscle biomarkers, increased testosterone, restored lipidemic levels, and improved muscle cellular architecture indicated SLB's positive effect on muscle condition in diabetic rats. Metabolomics profiling revealed that the STZ group significantly increased the phenylalanine-to-tyrosine ratio (PTR), lactate-to-pyruvate ratio (LPR), acetate, succinate, isobutyrate, and histidine. SLB administration restored these perturbed serum metabolites in the STZ-induced diabetic group. In conclusion, salbutamol significantly protected against skeletal muscle wasting in STZ-induced diabetic rats.
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Affiliation(s)
- Anand Kumar
- Department of Pharmaceutical Sciences, School of Pharmaceutical Sciences, Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Raebareli Road, Lucknow 226025, India
| | - Priyanka Prajapati
- Department of Pharmaceutical Sciences, School of Pharmaceutical Sciences, Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Raebareli Road, Lucknow 226025, India
| | - Vinit Raj
- School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea
| | - Seong-Cheol Kim
- School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea
| | - Vikas Mishra
- Department of Pharmaceutical Sciences, School of Pharmaceutical Sciences, Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Raebareli Road, Lucknow 226025, India.
| | | | - Ritu Raj
- Centre of Biomedical Research, SGPGIMS Campus, Lucknow 226014, India
| | - Dinesh Kumar
- Centre of Biomedical Research, SGPGIMS Campus, Lucknow 226014, India
| | - Sapana Kushwaha
- National Institutes of Pharmaceutical Education and Research (NIPER), Raebareli, Transit Campus, Bijnor-Sisendi Road, Sarojini Nagar, Lucknow 226002, India.
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12
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Soleimani E, Ardekani AM, Fayyazishishavan E, Farhangi MA. The interactive relationship of dietary choline and betaine with physical activity on circulating creatine kinase (CK), metabolic and glycemic markers, and anthropometric characteristics in physically active young individuals. BMC Endocr Disord 2023; 23:158. [PMID: 37491240 PMCID: PMC10367233 DOI: 10.1186/s12902-023-01413-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 07/12/2023] [Indexed: 07/27/2023] Open
Abstract
BACKGROUND There is conflicting evidence on the relationship between dietary choline and betaine with metabolic markers and anthropometric characteristics. The aim of this study is to investigate the relationship between the interaction effects of dietary choline and betaine and physical activity (PA) on circulating creatine kinase (CK), metabolic and glycemic markers, and anthropometric characteristics in active youth. METHODS In this cross-sectional study, data were collected from 120 to 18 to 35-year-old people. The food frequency questionnaire was used to assess dietary data; United States Department of Agriculture website was used to calculate choline and betaine in foods. CK, fasting blood sugar (FBS) and lipid profile markers were measured with ELISA kits. Low-density lipoprotein, and insulin sensitivity markers were calculated. Sociodemographic status, physical activity, and anthropometric characteristics were assessed based on a valid and reliable method. Analysis of co-variance (ANCOVA) tests adjusted for sex, PA, age, energy, and body mass index were used. RESULTS Increasing dietary betaine and total choline and betaine was positively related to weight, waist-to-hip ratio, fat-free mass and bone mass (P < 0.05). Increasing dietary betaine lowered total cholesterol (P = 0.032) and increased high density lipoprotein (HDL) (P = 0.049). The interaction effect of dietary choline and physical activity improved insulin resistance (P < 0.05). As well as dietary betaine interacted with physical activity increased HDL (P = 0.049). In addition, dietary total choline and betaine interacted with physical activity decreased FBS (P = 0.047). CONCLUSIONS In general, increasing dietary choline and betaine along with moderate and high physical activity improved insulin resistance, increased HDL, and lowered FBS in the higher tertiles of dietary choline and betaine.
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Affiliation(s)
- Ensiye Soleimani
- Department of Community Nutrition, Faculty of Nutrition, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Abnoos Mokhtari Ardekani
- Endocrinology and Metabolism Research Center, Institute of Basic and Clinical Physiology Science, & Physiology Research Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Ehsan Fayyazishishavan
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX77030, USA
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13
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Abbasi MSP, Tousi AZ, Yazdani Y, Vahdat S, Gharebakhshi F, Nikrad N, Manzouri A, Ardekani AM, Jafarzadeh F. Dietary choline and betaine intake, cardio-metabolic risk factors and prevalence of metabolic syndrome among overweight and obese adults. BMC Endocr Disord 2023; 23:67. [PMID: 36973700 PMCID: PMC10041695 DOI: 10.1186/s12902-023-01323-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 03/15/2023] [Indexed: 03/29/2023] Open
Abstract
BACKGROUND Choline is an important metabolite involved in phospholipids synthesis, including serum lipids, and is the immediate precursor of betaine. There are numerous studies with inconsistent results that evaluated the association between dietary choline intakes with cardiovascular risk factors. In addition, the association between dietary betaine and choline intakes with cardio-metabolic risk factors is not well studied. In the current study, our aim was to evaluate dietary choline and betaine intakes in the usual diet of obese individuals and to assess its association with serum lipids, blood pressure and glycemic markers among obese individuals. METHODS We recruited a total number of 359 obese people aged between 20 and 50 years in the present study. A semi-quantitative food frequency questionnaire (FFQ) was used for dietary assessment; dietary choline and betaine intakes were calculated using the United States Department of Agriculture (USDA) database. National cholesterol education program adult treatment panel (NCEP-ATP)-III criteria was used metabolic syndrome (MetS) definition. Enzymatic methods were used to assess biochemical variables. Body composition was measured with the bioelectrical impedance analysis (BIA) method. RESULTS Higher body mass index (BMI), waist to hip ratio (WHR), fat-free mass (FFM) and basal metabolic rate (BMR) were observed in higher tertiles of dietary choline intake (P < 0.01). There was no significant difference in terms of biochemical parameters among different tertiles of dietary choline intake, while systolic blood pressure (SBP) and diastolic blood pressure (DBP) were reduced in higher betaine tertiles (P < 0.05). For total dietary choline and betaine intakes, there was a reduction in DBP and low density lipoprotein (LDL) concentrations (P < 0.05). Also, a non-significant reduction in serum total cholesterol (TC), triglyceride (TG) and MetS prevalence was observed in higher tertiles of dietary choline and betaine intakes. After classification of the study population according to MetS status, there was no significant difference in biochemical variables in subjects with MetS (P > 0.05), while in the non-MetS group, SBP, DBP, TG and insulin levels reduced in higher tertiles of dietary betaine and choline (P > 0.05). CONCLUSION According to our findings, higher dietary intakes of choline and betaine were associated with lower levels of blood pressure and LDL concentrations among obese individuals. Further studies are warranted to confirm the results of the current study.
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Affiliation(s)
| | - Ayda Zahiri Tousi
- Razavi Cancer Research Center, Razavi Hospital, Imam Reza International University, Mashhad, Iran
| | - Yalda Yazdani
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Sahar Vahdat
- Isfahan Kidney Disease Research Center, School of Medicine, Khorshid Hospital, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Farshad Gharebakhshi
- Department of Radiology, School of Medicne, Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Negin Nikrad
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Ali Manzouri
- Health Policy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Abnoos Mokhtari Ardekani
- Endocrinology and Metabolism Research Center, Institute of Basic and Clinical Physiology Science, & Physiology Research Center, Kerman University of Medical Sciences, Kerman, Iran.
| | - Faria Jafarzadeh
- Department of Internal Medicine, School of Medicine, North Khorasan University of Medical Sciences, Bojnourd, Iran
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14
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Nakayama S, Satoh M, Metoki H, Murakami T, Tatsumi Y, Asayama K, Hara A, Hirose T, Tsubota-Utsugi M, Kikuya M, Mori T, Hozawa A, Imai Y, Ohkubo T. Association Between Ambulatory Blood Pressure and Risk of Home Hypertension in a Normotensive Population: The Ohasama Study. Am J Hypertens 2023; 36:151-158. [PMID: 36309880 DOI: 10.1093/ajh/hpac121] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 08/16/2022] [Accepted: 10/28/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND We investigated the association between ambulatory blood pressure (BP) and the risk of home hypertension in a normotensive population and whether considering ambulatory BP improves the 10-year prediction model for home hypertension risk, which was developed in the previous Ohasama Study. METHODS In this prospective study, we followed up with 410 participants (83.2% women; age, 53.6 years) without a home and ambulatory hypertension in the general population of Ohasama, Japan. The Cox model was used to assess the hazard ratios (HRs) for home hypertension (home BP ≥ 135/≥85 mmHg or the initiation of antihypertensive treatment) and model improvement. RESULTS During a mean 14.2-year follow-up, 225 home hypertension incidences occurred. The HR (95% confidence interval) for home hypertension incidence per 1-SD higher (=6.76 mmHg) 24-hour systolic BP (SBP) was 1.59 (1.33 to 1.90), after adjustments for possible confounding factors, including baseline home SBP. Harrell's C-statistics increased from 0.72 to 0.73 (P = 0.11) when 24-hour SBP was added to the basic 10-year home hypertension prediction model, which includes sex, age, body mass index, smoking status, office SBP, and baseline home SBP. Continuous net reclassification improvement (0.53, P < 0.0001) and integrated discrimination improvement (0.028, P = 0.0014) revealed improvement in the model. CONCLUSIONS A total of 24-hour SBP could be an independent predictor of future home hypertension. Home BP and 24-hour BP can longitudinally influence each other in the long term.
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Affiliation(s)
- Shingo Nakayama
- Division of Nephrology and Endocrinology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan.,Division of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Michihiro Satoh
- Division of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan.,Division of Personalized Prevention and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Hirohito Metoki
- Division of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan.,Tohoku Institute for Management of Blood Pressure, Sendai, Japan
| | - Takahisa Murakami
- Division of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan.,Division of Personalized Prevention and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Division of Aging and Geriatric Dentistry, Department of Rehabilitation Dentistry, Tohoku University Graduate School of Dentistry, Sendai, Japan
| | - Yukako Tatsumi
- Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
| | - Kei Asayama
- Tohoku Institute for Management of Blood Pressure, Sendai, Japan.,Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
| | - Azusa Hara
- Division of Drug Development and Regulatory Science, Faculty of Pharmacy, Keio University, Tokyo, Japan
| | - Takuo Hirose
- Division of Nephrology and Endocrinology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan.,Department of Endocrinology and Applied Medical Science, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Megumi Tsubota-Utsugi
- Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan.,Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine, Yahaba, Japan
| | - Masahiro Kikuya
- Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
| | - Takefumi Mori
- Division of Nephrology and Endocrinology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Atsushi Hozawa
- Division of Personalized Prevention and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Yutaka Imai
- Tohoku Institute for Management of Blood Pressure, Sendai, Japan
| | - Takayoshi Ohkubo
- Tohoku Institute for Management of Blood Pressure, Sendai, Japan.,Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
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15
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Qi S, Liu L, He S, Wang L, Li J, Sun X. Trimethylamine N-Oxide and Related Metabolites in the Serum and Risk of Type 2 Diabetes in the Chinese Population: A Case-Control Study. Diabetes Metab Syndr Obes 2023; 16:547-555. [PMID: 36874557 PMCID: PMC9983576 DOI: 10.2147/dmso.s398008] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 02/14/2023] [Indexed: 03/03/2023] Open
Abstract
BACKGROUND Trimethylamine N-oxide (TMAO) and its precursors have an association with type 2 diabetes mellitus (T2DM); however, the evidence is unclear. The current study examined the association of serial measures of serum TMAO and related metabolite concentrations with the risk of T2DM. METHODS Our study was designed as a community case-control study with 300 participants (150 T2DM and 150 non-T2DM). We examined the association of serum concentrations of TMAO and its related metabolites [trimethylamine, choline, betaine, and L-carnitine] using UPLC-MS/MS. The association between these metabolites and the risk of T2DM was analyzed using a restricted cubic spline and binary logistic regression. RESULTS A higher serum choline concentration was significantly associated with an increased risk of T2DM. Serum choline > 22.62 μmol/L was independently associated with an increased risk of T2DM, and the odds ratio was 3.615 [95% CI: (1.453,8.993), P = 0.006]. Similarly, serum betaine and L-carnitine concentrations had a markedly decreased risk of T2DM even after adjusting for the traditional risk factors for T2DM and betaine (0.978 [95% CI:0.964-0.992], P = 0.002) and L-carnitine (0.949 [95% CI: 0.9222-0.978], P = 0.001), respectively. CONCLUSION Choline, betaine, and L-carnitine are associated with the risk of T2DM and may be appropriate risk markers to protect high-risk individuals from T2DM.
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Affiliation(s)
- Shenghong Qi
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China
- The Key Laboratory of Environmental Factors and Chronic Disease Control of Ningxia, Yinchuan, Ningxia, People’s Republic of China
| | - Lan Liu
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China
- The Key Laboratory of Environmental Factors and Chronic Disease Control of Ningxia, Yinchuan, Ningxia, People’s Republic of China
| | - Shulan He
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China
- The Key Laboratory of Environmental Factors and Chronic Disease Control of Ningxia, Yinchuan, Ningxia, People’s Republic of China
| | - Liqun Wang
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China
- The Key Laboratory of Environmental Factors and Chronic Disease Control of Ningxia, Yinchuan, Ningxia, People’s Republic of China
| | - Jiangping Li
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China
- The Key Laboratory of Environmental Factors and Chronic Disease Control of Ningxia, Yinchuan, Ningxia, People’s Republic of China
| | - Xian Sun
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China
- The Key Laboratory of Environmental Factors and Chronic Disease Control of Ningxia, Yinchuan, Ningxia, People’s Republic of China
- Correspondence: Xian Sun, Tel +86 1 370 958 4072, Email
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16
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Díez-Ricote L, San-Cristobal R, Concejo MJ, Martínez-González MÁ, Corella D, Salas-Salvadó J, Goday A, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Bueno-Cavanillas A, Tur JA, Martín Sánchez V, Pintó X, Gaforio JJ, Matía-Martín P, Vidal J, Mas Fontao S, Ros E, Vázquez-Ruiz Z, Ortega-Azorín C, García-Gavilán JF, Malcampo M, Martínez-Urbistondo D, Tojal-Sierra L, García Rodríguez A, Gómez-Bellvert N, Chaplin A, García-Ríos A, Bernal-López RM, Santos-Lozano JM, Basterra-Gortari J, Sorlí JV, Murphy M, Gasulla G, Micó V, Salaverria-Lete I, Goñi Ochandorena E, Babio N, Herraiz X, Ordovás JM, Daimiel L. One-year longitudinal association between changes in dietary choline or betaine intake and cardiometabolic variables in the PREvención con DIeta MEDiterránea-Plus (PREDIMED-Plus) trial. Am J Clin Nutr 2022; 116:1565-1579. [PMID: 36124652 PMCID: PMC9761742 DOI: 10.1093/ajcn/nqac255] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 09/09/2022] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Choline and betaine intakes have been related to cardiovascular health. OBJECTIVES We aimed to explore the relation between 1-y changes in dietary intake of choline or betaine and 1-y changes in cardiometabolic and renal function traits within the frame of the PREDIMED (PREvención con DIeta MEDiterránea)-Plus trial. METHODS We used baseline and 1-y follow-up data from 5613 participants (48.2% female and 51.8% male; mean ± SD age: 65.01 ± 4.91 y) to assess cardiometabolic traits, and 3367 participants to assess renal function, of the Spanish PREDIMED-Plus trial. Participants met ≥3 criteria of metabolic syndrome and had overweight or obesity [BMI (in kg/m2) ≥27 and ≤40]. These criteria were similar to those of the PREDIMED parent study. Dietary intakes of choline and betaine were estimated from the FFQ. RESULTS The greatest 1-y increase in dietary choline or betaine intake (quartile 4) was associated with improved serum glucose concentrations (-3.39 and -2.72 mg/dL for choline and betaine, respectively) and HbA1c levels (-0.10% for quartile 4 of either choline or betaine intake increase). Other significant changes associated with the greatest increase in choline or betaine intake were reduced body weight (-2.93 and -2.78 kg, respectively), BMI (-1.05 and -0.99, respectively), waist circumference (-3.37 and -3.26 cm, respectively), total cholesterol (-4.74 and -4.52 mg/dL, respectively), and LDL cholesterol (-4.30 and -4.16 mg/dL, respectively). Urine creatinine was reduced in quartile 4 of 1-y increase in choline or betaine intake (-5.42 and -5.74 mg/dL, respectively). CONCLUSIONS Increases in dietary choline or betaine intakes were longitudinally related to improvements in cardiometabolic parameters. Markers of renal function were also slightly improved, and they require further investigation.This trial was registered at https://www.isrctn.com/ as ISRCTN89898870.
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Affiliation(s)
- Laura Díez-Ricote
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Rodrigo San-Cristobal
- Cardiometabolic Health Group, Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | | | - Miguel Á Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, Navarra Institute of Health Research (IdISNA), University of Navarra, Pamplona, Spain
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament of Biochemistry and Biotechnology, Human Nutrition Unit, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
- Unit of Preventive Medicine & Public Health, Faculty of Medicine & Health Sciences, Universitat Rovira i Virgili, Reus, Spain
| | - Albert Goday
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar d`Investigació Médica (IMIM), Barcelona, Spain
- Department of Medicine, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - J Alfredo Martínez
- Cardiometabolic Health Group, Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Center for Nutrition Research, Department of Nutrition, Food Sciences, and Physiology, University of Navarra, Pamplona, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Cardiovascular, Respiratory and Metabolic Area, Bioaraba Health Research Institute; Araba University Hospital, Osakidetza Basque Health Service; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Nursing, University of Málaga, Institute of Biomedical Research in Malaga (IBIMA), Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Carlos III Institute of Health (ISCIII), Madrid, Spain
- Institute of Health and Biomedical Research of Alicante, Miguel Hernández University (ISABIAL-UMH), Alicante, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology, Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, Málaga Biomedical Research Institute (IBIMA), University of Málaga, Málaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Unit, Department of Family Medicine, Sevilla Primary Care Health District, Sevilla, Spain
| | - Lluís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria and Maternal and Child Insular University Hospital Center (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Carlos III Institute of Health (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of the Balearic Islands, Palma de Mallorca, Spain
| | - Vicente Martín Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Carlos III Institute of Health (ISCIII), Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Bellvitge University Hospital, Barcelona, Spain
| | - José J Gaforio
- CIBER de Epidemiología y Salud Pública (CIBERESP), Carlos III Institute of Health (ISCIII), Madrid, Spain
- Department of Health Sciences, University Institute for Research on Olives and Olive Oils, University of Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, San Carlos Clinical Hospital Institute of Health Research (IdISSC), Madrid, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Carlos III Institute of Health (ISCIII), Madrid, Spain
- Department of Endocrinology, Institut d` Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Sebastián Mas Fontao
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Jimenez Díaz Foundation Hospital Biomedical Research Institute (IISFJD), Autonomous University of Madrid, Madrid, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Zenaida Vázquez-Ruiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, Navarra Institute of Health Research (IdISNA), University of Navarra, Pamplona, Spain
- Endocrinology Service, Navarra Hospital Complex, Osasunbidea, Navarro Health Service, Pamplona, Spain
| | - Carolina Ortega-Azorín
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Jesús F García-Gavilán
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament of Biochemistry and Biotechnology, Human Nutrition Unit, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
| | - Mireia Malcampo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar d`Investigació Médica (IMIM), Barcelona, Spain
| | | | - Lucas Tojal-Sierra
- Cardiovascular, Respiratory and Metabolic Area, Bioaraba Health Research Institute; Araba University Hospital, Osakidetza Basque Health Service; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Antonio García Rodríguez
- Division of Preventive Medicine and Public Health, University of Malaga, Institute of Biomedical Research in Málaga (IBIMA-University of Malaga), Málaga, Spain
| | | | - Alice Chaplin
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology, Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Antonio García-Ríos
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Rosa M Bernal-López
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, Málaga Biomedical Research Institute (IBIMA), University of Málaga, Málaga, Spain
| | - José M Santos-Lozano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Unit, Department of Family Medicine, Sevilla Primary Care Health District, Sevilla, Spain
| | - Javier Basterra-Gortari
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, Navarra Institute of Health Research (IdISNA), University of Navarra, Pamplona, Spain
- Endocrinology Service, Navarra Hospital Complex, Osasunbidea, Navarro Health Service, Pamplona, Spain
| | - José V Sorlí
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Michelle Murphy
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament of Biochemistry and Biotechnology, Human Nutrition Unit, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
| | - Griselda Gasulla
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar d`Investigació Médica (IMIM), Barcelona, Spain
| | - Víctor Micó
- Cardiometabolic Health Group, Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Itziar Salaverria-Lete
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Cardiovascular, Respiratory and Metabolic Area, Bioaraba Health Research Institute; Araba University Hospital, Osakidetza Basque Health Service; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Estibaliz Goñi Ochandorena
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, Navarra Institute of Health Research (IdISNA), University of Navarra, Pamplona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Virgili, Departament of Biochemistry and Biotechnology, Human Nutrition Unit, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
| | - Xavier Herraiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar d`Investigació Médica (IMIM), Barcelona, Spain
| | - José M Ordovás
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Nutritional Genomics and Epigenomics Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
- Nutrition and Genomics Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
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17
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Ding L, Yang Q, Sun Z, Liu L, Meng Z, Zhao X, Tao N, Liu J. Association between dietary intake of one-carbon metabolism nutrients and hyperglycemia in coal-burning fluorosis areas of Guizhou, China. Front Nutr 2022; 9:1002044. [PMID: 36299987 PMCID: PMC9589113 DOI: 10.3389/fnut.2022.1002044] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Accepted: 09/23/2022] [Indexed: 11/13/2022] Open
Abstract
Background and aims There are limited studies describing the association between dietary intake of one-carbon metabolism nutrients and hyperglycemia. The present study aimed to investigate the association of habitual dietary intake of one-carbon metabolism nutrients with hyperglycemia in a fluorosis area in China, and explored the interaction between these nutrients and fluorosis related to hyperglycemia. Method In a cross-sectional study, we recruited 901 villagers, ages ranging from 18–75, in Guizhou Province. Dietary data and other covariate data were obtained through an interviewer-administered questionnaire. We collected venous blood samples from participants who had fasted for one night to obtain fasting blood glucose levels and we categorized dietary intake of betaine, total choline, methionine, folate, vitamins B6 and B12, and choline subclasses into quartiles (Q1–Q4). The lowest quartile (Q1) served as the reference group. An unconditional logistic regression model was used to evaluate the protective effects of a dietary intake of one-carbon nutrients against hyperglycemia. We calculated Odds Ratios (ORs) with 95% confidence intervals (CIs). A presence or absence of fluorosis subgroup analysis was performed to determine the potential effect of fluorosis on hyperglycemia. Result After adjusting for potential confounding factors, we found that a greater intake of dietary vitamin B6, total choline and methyl-donor index was inversely associated with the occurrence of hyperglycemia (P-trend <0.05). However, there were no significant associations between hyperglycemia and the dietary intake of folate, vitamin B12, methionine, and betaine. As for the choline subgroups, it showed that the dietary intake of free choline, phosphatidylcholine, and glycerol phosphatidylcholine was negatively correlated with the occurrence of hyperglycemia (P < 0.05). In contrast, there was no statistical association between dietary phosphatidylcholine and sphingomyelin and hyperglycemia (all P > 0.05). The results of subgroup analysis showed that dietary intake of folate, vitamin B6, total choline, free choline, glycerol phosphorylcholine, and phosphocholine had a protective effect against the occurrence of hyperglycemia in the non-fluorosis subgroup, although no effects were observed in the fluorosis subgroup. There were significant interactions between these nutrients and fluorosis (P = 0.010–0.048). Conclusion The study demonstrated that higher dietary intake of vitamin B6, total choline, methyl-donor index, free choline, glycerol phosphorylcholine, and phosphocholine in choline compounds were associated with a lower incidence of hyperglycemia. Moreover, the associations were modified by the presence or absence of fluorosis. Further investigation is needed to test the association in large-scale follow-up studies.
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Affiliation(s)
- Li Ding
- Department of Preventive Medicine, School of Public Health, Zunyi Medical University, Zunyi, China,Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China
| | - Qinglin Yang
- Department of Preventive Medicine, School of Public Health, Zunyi Medical University, Zunyi, China
| | - Zhongming Sun
- Department of Preventive Medicine, School of Public Health, Zunyi Medical University, Zunyi, China
| | - Lu Liu
- Department of Preventive Medicine, School of Public Health, Zunyi Medical University, Zunyi, China
| | - Zeyu Meng
- Department of Preventive Medicine, School of Public Health, Zunyi Medical University, Zunyi, China
| | - Xun Zhao
- Department of Chronic Disease, Center of Disease Control and Prevention of Zhijin County, Bijie, China
| | - Na Tao
- Department of Pharmacy, Affiliated Hospital of Zunyi Medical University, Zunyi, China,*Correspondence: Na Tao
| | - Jun Liu
- Department of Preventive Medicine, School of Public Health, Zunyi Medical University, Zunyi, China,Jun Liu
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18
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Wang H, Li J, Liu J, Leng J, Li W, Yu Z, Tam CHT, Hu G, Ma RCW, Fang Z, Wang Y, Yang X. Interactions of CDKAL1 rs7747752 polymorphism and serum levels of L-carnitine and choline are related to increased risk of gestational diabetes mellitus. GENES & NUTRITION 2022; 17:14. [PMID: 36183068 PMCID: PMC9526259 DOI: 10.1186/s12263-022-00716-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 09/20/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND Interactions between genetic, metabolic, and environmental factors lead to gestational diabetes mellitus (GDM). We aimed to examine interactive effects of cyclin-dependent kinase 5 regulatory subunit-associated protein1-like 1(CDKAL1) rs7747752 polymorphism with low serum levels of L-carnitine, choline, and betaine for GDM. METHODS A nested case-control study of 207 GDM women and their one-to-one, age-matched controls was organized from a prospective cohort of pregnant women in Tianjin, China. Conditional logistic regressions were used to test associations between CDKAL1 rs7747752 and serum levels of L-carnitine, choline, and betaine, and the risk of GDM. Additive interactions were performed to examine interactive effects of rs7747752 and low serum levels of L-carnitine, choline, and betaine on the risk of GDM. RESULTS The CDKAL1 rs7747752 G > C was associated with GDM in additive, dominant, and recessive model (P <0.05). The rs7747752 CC genotype enhanced the OR of L-carnitine ≤ vs. > 150 nmol/mL for GDM from 6.14 (2.61-14.4) to 19.6 (5.65-68.1) and the OR of choline ≤ vs. > 110 nmol/mL from 2.37 (1.07-5.28) to 12.1 (3.22-45.6), with significant additive interactions. Similarly, CG genotype also enhanced the OR of L-carnitine ≤ vs. > 150 nmol/mL for GDM from 4.70 (2.01-11.0) to 11.4 (3.98-32.9), with a significant additive interaction. However, the additive interaction between rs7747752 and betaine ≤ 200 nmol/mL on the risk of GDM was not significant. CONCLUSIONS The CC or CG genotype carriers in rs7747752 of CDKAL1 who have a low serum level of L-carnitine or choline are at a particular high risk of GDM. Randomized controlled trials are warranted to test the effect of supplement of L-carnitine or choline on the risk of GDM in the high-risk group.
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Affiliation(s)
- Hui Wang
- grid.265021.20000 0000 9792 1228Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, 300070 China
| | - Jing Li
- grid.265021.20000 0000 9792 1228Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, 300070 China ,grid.265021.20000 0000 9792 1228Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, 300070 China ,grid.265021.20000 0000 9792 1228Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, 300070 China
| | - Jinnan Liu
- grid.265021.20000 0000 9792 1228Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, 300070 China
| | - Junhong Leng
- Project Office, Tianjin Women and Children’s Health Center, Tianjin, 300041 China
| | - Weiqin Li
- Project Office, Tianjin Women and Children’s Health Center, Tianjin, 300041 China
| | - Zhijie Yu
- grid.55602.340000 0004 1936 8200Population Cancer Research Program and Department of Pediatrics, Dalhousie University, Halifax, B3H 4R2 Canada
| | - Claudia H. T. Tam
- grid.10784.3a0000 0004 1937 0482Department of Medicine and Therapeutics and Li Ka Shing Institute of Health Sciences, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, 999077 China
| | - Gang Hu
- grid.250514.70000 0001 2159 6024Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana 70808 USA
| | - Ronald C. W. Ma
- grid.10784.3a0000 0004 1937 0482Department of Medicine and Therapeutics and Li Ka Shing Institute of Health Sciences, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, 999077 China
| | - Zhongze Fang
- grid.265021.20000 0000 9792 1228Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, 300070 China ,grid.265021.20000 0000 9792 1228Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, 300070 China ,grid.265021.20000 0000 9792 1228Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, 300070 China
| | - Ying Wang
- grid.410560.60000 0004 1760 3078Scientific Research Platform of the Second School of Clinical Medicine & Key Laboratory of 3D Printing Technology in Stomatology, Guangdong Medical University, Dongguan, 523808 Guangdong China
| | - Xilin Yang
- grid.265021.20000 0000 9792 1228Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, 300070 China ,grid.265021.20000 0000 9792 1228Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, 300070 China ,grid.265021.20000 0000 9792 1228Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, 300070 China
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Ilyas A, Wijayasinghe YS, Khan I, El Samaloty NM, Adnan M, Dar TA, Poddar NK, Singh LR, Sharma H, Khan S. Implications of trimethylamine N-oxide (TMAO) and Betaine in Human Health: Beyond Being Osmoprotective Compounds. Front Mol Biosci 2022; 9:964624. [PMID: 36310589 PMCID: PMC9601739 DOI: 10.3389/fmolb.2022.964624] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 07/11/2022] [Indexed: 11/13/2022] Open
Abstract
Osmolytes are naturally occurring small molecular weight organic molecules, which are accumulated in large amounts in all life forms to maintain the stability of cellular proteins and hence preserve their functions during adverse environmental conditions. Trimethylamine N-oxide (TMAO) and N,N,N-trimethylglycine (betaine) are methylamine osmolytes that have been extensively studied for their diverse roles in humans and have demonstrated opposing relations with human health. These osmolytes are obtained from food and synthesized endogenously using dietary constituents like choline and carnitine. Especially, gut microbiota plays a vital role in TMAO synthesis and contributes significantly to plasma TMAO levels. The elevated plasma TMAO has been reported to be correlated with the pathogenesis of numerous human diseases, including cardiovascular disease, heart failure, kidney diseases, metabolic syndrome, etc.; Hence, TMAO has been recognized as a novel biomarker for the detection/prediction of several human diseases. In contrast, betaine acts as a methyl donor in one-carbon metabolism, maintains cellular S-adenosylmethionine levels, and protects the cells from the harmful effects of increased plasma homocysteine. Betaine also demonstrates antioxidant and anti-inflammatory activities and has a promising therapeutic value in several human diseases, including homocystinuria and fatty liver disease. The present review examines the multifarious functions of TMAO and betaine with possible molecular mechanisms towards a better understanding of their emerging and diverging functions with probable implications in the prevention, diagnosis, and treatment of human diseases.
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Affiliation(s)
- Ashal Ilyas
- Department of Biotechnology, Invertis University, Bareilly, Uttar Pradesh, India
| | - Yasanandana Supunsiri Wijayasinghe
- Department of Biochemistry and Clinical Chemistry, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka,*Correspondence: Yasanandana Supunsiri Wijayasinghe, , Nitesh Kumar Poddar, , , Shahanavaj Khan,
| | - Ilyas Khan
- Department of Mathematics, College of Science Al-Zulfi, Majmaah University, Al-Majmaah, Saudi Arabia
| | - Nourhan M. El Samaloty
- Department of Pharmacology, Toxicology and Biochemistry, Faculty of Pharmacy, Future University in Egypt, Cairo, Egypt
| | - Mohd Adnan
- Department of Biology, College of Science, University of Hail, Hail, Saudi Arabia
| | - Tanveer Ali Dar
- Department of Clinical Biochemistry, University of Kashmir, Srinagar, Jammu and Kashmir, India
| | - Nitesh Kumar Poddar
- Department of Biosciences, Manipal University Jaipur, Jaipur, Rajasthan, India,*Correspondence: Yasanandana Supunsiri Wijayasinghe, , Nitesh Kumar Poddar, , , Shahanavaj Khan,
| | - Laishram R. Singh
- Dr. B.R. Ambedkar Center for Biomedical Research, University of Delhi, Delhi, India
| | - Hemlata Sharma
- Department of Biosciences, Manipal University Jaipur, Jaipur, Rajasthan, India
| | - Shahanavaj Khan
- Department of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia,Department of Medical Lab Technology, Indian Institute of Health and Technology (IIHT), Saharanpur, Uttar Pradesh, India,*Correspondence: Yasanandana Supunsiri Wijayasinghe, , Nitesh Kumar Poddar, , , Shahanavaj Khan,
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20
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The Role of Betaine in Patients With Chronic Kidney Disease: a Narrative Review. Curr Nutr Rep 2022; 11:395-406. [PMID: 35792998 DOI: 10.1007/s13668-022-00426-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/13/2022] [Indexed: 10/17/2022]
Abstract
PURPOSE OF REVIEW This narrative review aimed to explore the functions of betaine and discuss its role in patients with chronic kidney disease (CKD). RECENT FINDINGS Some studies on CKD animal models have shown the benefits of betaine supplementation, including decreased kidney damage, antioxidant recovery status, and decreased inflammation. Betaine (N-trimethylglycine) is an N-trimethylated amino acid with an essential regulatory osmotic function. Moreover, it is a methyl donor and has anti-inflammatory and antioxidant properties. Additionally, betaine has positive effects on intestinal health by regulating the osmolality and gut microbiota. Due to these crucial functions, betaine has been studied in several diseases, including CKD, in which betaine plasma levels decline with the progression of the disease. Low betaine levels are linked to increased kidney damage, inflammation, oxidative stress, and intestinal dysbiosis. Furthermore, betaine is considered an essential metabolite for identifying CKD stages.
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Associations between Serum Betaine, Methyl-Metabolizing Genetic Polymorphisms and Risk of Incident Type 2 Diabetes: A Prospective Cohort Study in Community-Dwelling Chinese Adults. Nutrients 2022; 14:nu14020362. [PMID: 35057543 PMCID: PMC8778868 DOI: 10.3390/nu14020362] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 01/06/2022] [Accepted: 01/11/2022] [Indexed: 12/21/2022] Open
Abstract
Previous studies have explored associations between betaine and diabetes, but few have considered the effects of genes on them. We aimed to examine associations between serum betaine, methyl-metabolizing genetic polymorphisms and the risk of type 2 diabetes in Chinese adults. This prospective study comprised 1565 subjects aged 40–75 without type 2 diabetes at baseline. Serum betaine was measured by high-performance liquid chromatography tandem mass spectrometry. Genotyping of methyl-metabolizing genes was detected by Illumina ASA-750K arrays. Cox proportional hazards model was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). During a median of 8.9 years of follow-up, 213 participants developed type 2 diabetes. Compared with participants in the lowest quartile of serum betaine, those in the highest quartile had lower risk of type 2 diabetes, adjusted HRs (95%CIs) was 0.46 (0.31, 0.69). For methylenetetrahydrofolate reductase (MTHFR) G1793A (rs2274976) and MTHFR A1298C (rs1801131), participants carrying 1793GA + AA and 1298AC + CC had lower risk of type 2 diabetes. Interactions of serum betaine and genotype of MTHFR G1793A and MTHFR A1298C could be found influencing type 2 diabetes risk. Our findings indicate that higher serum betaine, mutations of MTHFR G1793A and A1298C, as well as the joint effects of them, are associated with lower risk of type 2 diabetes.
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22
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Yajun W, Jin C, Zhengrong G, Chao F, Yan H, Weizong W, Xiaoqun L, Qirong Z, Huiwen C, Hao Z, Jiawei G, Xinchen Z, Shihao S, Sicheng W, Xiao C, Jiacan S. Betaine Attenuates Osteoarthritis by Inhibiting Osteoclastogenesis and Angiogenesis in Subchondral Bone. Front Pharmacol 2021; 12:723988. [PMID: 34658862 PMCID: PMC8511433 DOI: 10.3389/fphar.2021.723988] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 09/13/2021] [Indexed: 12/28/2022] Open
Abstract
Osteoarthritis (OA) is the most common type of arthritis with no effective therapy. Subchondral bone and overlying articular cartilage are closely associated and function as “osteo-chondral unit” in the joint. Abnormal mechanical load leads to activated osteoclast activity and increased bone resorption in the subchondral bone, which is implicated in the onset of OA pathogenesis. Thus, inhibiting subchondral bone osteoclast activation could prevent OA onset. Betaine, isolated from the Lycii Radicis Cortex (LRC), has been demonstrated to exert anti-inflammatory, antifibrotic and antiangiogenic properties. Here, we evaluated the effects of betaine on anterior cruciate ligament transection (ACLT)-induced OA mice. We observed that betaine decreased the number of matrix metalloproteinase 13 (MMP-13)-positive and collagen X (Col X)-positive cells, prevented articular cartilage proteoglycan loss and lowered the OARSI score. Betaine decreased the thickness of calcified cartilage and increased the expression level of lubricin. Moreover, betaine normalized uncoupled subchondral bone remodeling as defined by lowered trabecular pattern factor (Tb.pf) and increased subchondral bone plate thickness (SBP). Additionally, aberrant angiogenesis in subchondral bone was blunted by betaine treatment. Mechanistically, we demonstrated that betaine suppressed osteoclastogenesis in vitro by inhibiting reactive oxygen species (ROS) production and subsequent mitogen-activated protein kinase (MAPK) signaling. These data demonstrated that betaine attenuated OA progression by inhibiting hyperactivated osteoclastogenesis and maintaining microarchitecture in subchondral bone.
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Affiliation(s)
- Wang Yajun
- Graduate Management Unit, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Cui Jin
- Department of Orthopedics, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Gu Zhengrong
- Department of Orthopedics, Luodian Hospital, Shanghai, China
| | - Fang Chao
- Graduate Management Unit, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Hu Yan
- Department of Orthopedics, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China.,Institute of Translational Medicine, Shanghai University, Shanghai, China
| | - Weng Weizong
- Department of Orthopedics, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Li Xiaoqun
- Department of Orthopedics, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Zhou Qirong
- Department of Orthopedics, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Chen Huiwen
- Graduate Management Unit, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Zhang Hao
- Graduate Management Unit, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Guo Jiawei
- Graduate Management Unit, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Zhuang Xinchen
- Graduate Management Unit, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Sheng Shihao
- Graduate Management Unit, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Wang Sicheng
- Institute of Translational Medicine, Shanghai University, Shanghai, China.,Department of Orthopedics, Zhongye Hospital, Shanghai, China
| | - Chen Xiao
- Department of Orthopedics, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Su Jiacan
- Department of Orthopedics, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China.,Institute of Translational Medicine, Shanghai University, Shanghai, China.,Shanghai Clinical Research Center for Aging and Medicine, Shanghai, China
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23
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Greenberg JA, Jiang X, Tinker LF, Snetselaar LG, Saquib N, Shadyab AH. Eggs, dietary cholesterol, choline, betaine, and diabetes risk in the Women's Health Initiative: a prospective analysis. Am J Clin Nutr 2021; 114:368-377. [PMID: 33829251 PMCID: PMC8246612 DOI: 10.1093/ajcn/nqab036] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 01/29/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Epidemiological studies have been inconsistent regarding the relations between diabetes risk and the consumption of eggs and nutrients in eggs, such as choline, betaine, and cholesterol. There have been few studies among elderly women. OBJECTIVES The objective of this study was to examine associations between consumption of eggs, cholesterol, choline, and betaine and the risk of diabetes among elderly US women. METHODS Multivariable Cox regression was used with data from the prospective Women's Health Initiative. Population attributable risks were calculated. Consumption of eggs alone (not mixed in foods) and nutrients were assessed with an FFQ. Diabetes incidence was defined as the first incidence of self-reported diabetes treated with oral diabetes medication or insulin injections. RESULTS There were 46,263 women at follow-up baseline. During 13.3 y and 592,984 person-years of follow-up, there were 5480 incident diabetes cases. Higher egg, cholesterol, and choline consumption were each significantly associated with increases in diabetes risk. The associations for eggs and choline were not significant after adjustment for cholesterol consumption. The association for eggs was attenuated after adjustment for non-egg cholesterol consumption, with 1 significant HR in the top consumption quintile (≥3 eggs/wk) of 1.15 (95% CI: 1.05, 1.27; P for linear trend = 0.0001). The population attributable risks for obesity, overweight, consumption of ≥3 eggs/wk, inadequate exercise, and poor diet were 25.0 (95% CI: 22.3, 27.6), 12.8 (95% CI: 11.1, 14.5), 4.2 (95% CI: 2.3, 6.1), 3.5 (95% CI: 1.2, 5.8), and 3.1 (95% CI: 0.5, 5.7), respectively. CONCLUSIONS As egg consumption increased to ≥3 eggs/wk, there was a steady increase in diabetes risk that may have been due to the cholesterol in the eggs. The population attributable risk for ≥3 eggs/wk was far lower than that for being obese or overweight.
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Affiliation(s)
- James A Greenberg
- Department of Health and Nutrition Sciences, Brooklyn College of the City University of New York, Brooklyn, NY, USA
| | - Xinyin Jiang
- Department of Health and Nutrition Sciences, Brooklyn College of the City University of New York, Brooklyn, NY, USA
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Linda G Snetselaar
- Department of Epidemiology, School of Public Health, University of Iowa, Iowa City, IA, USA
| | - Nazmus Saquib
- Research Unit, College of Medicine, Sulaiman Al-Rajhi Colleges, Al Bukairiyah, Saudi Arabia
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
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24
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Chirita-Emandi A, Serban CL, Paul C, Andreescu N, Velea I, Mihailescu A, Serafim V, Tiugan DA, Tutac P, Zimbru C, Puiu M, Niculescu MD. CHDH-PNPLA3 Gene-Gene Interactions Predict Insulin Resistance in Children with Obesity. Diabetes Metab Syndr Obes 2020; 13:4483-4494. [PMID: 33239899 PMCID: PMC7682614 DOI: 10.2147/dmso.s277268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Accepted: 09/26/2020] [Indexed: 11/26/2022] Open
Abstract
INTRODUCTION Insulin resistance plays a major role in metabolic syndrome and is recognized as the most common risk factor for non-alcoholic fatty liver disease (NAFLD). Identifying predictors for insulin resistance could optimize screening and prevention. PURPOSE To evaluate the contribution of multiple single nucleotide polymorphisms across genes related to NAFLD and choline metabolism, in predicting insulin resistance in children with obesity. METHODS One hundred fifty-three children with obesity (73 girls), aged 7-18 years, were evaluated within the NutriGen Study (ClinicalTrials.gov-NCT02837367). Insulin resistance was defined by Homeostatic Model Assessment for insulin-resistance cut-offs that accommodated pubertal and gender differences. Anthropometric, metabolic, intake-related variables, and 55 single nucleotide polymorphisms related to NAFLD and choline metabolism were evaluated. Gene-gene interaction effects were assessed using Multiple Data Reduction Software. RESULTS Sixty percent (93/153) of participants showed insulin resistance (58.7% of boys, 63% of girls). Children with insulin resistance presented significantly higher values for standardized body mass index, triglycerides, transaminases and plasma choline when compared to those without insulin resistance. Out of 52 single nucleotide polymorphisms analysed, the interaction between genotypes CHDH(rs12676) and PNPLA3(rs738409) predicted insulin resistance. The model presented a 6/10 cross-validation consistency and 0.58 testing accuracy. Plasma choline levels and alanine aminotransferase modulated the gene interaction effect, significantly improving the model. CONCLUSION The interaction between genotypes in CHDH and PNPLA3 genes, modulated by choline and alanine aminotransferase levels, predicted insulin-resistance status in children with obesity. If replicated in larger cohorts, these findings could help identify metabolic risk in children with obesity.
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Affiliation(s)
- Adela Chirita-Emandi
- Department of Microscopic Morphology - Genetics, Center of Genomic Medicine, University of Medicine and Pharmacy “Victor Babes”, Timisoara, Romania
- Regional Center of Medical Genetics Timis, Clinical Emergency Hospital for Children “Louis Turcanu”, Timisoara, Romania
| | - Costela Lacrimioara Serban
- Regional Center of Medical Genetics Timis, Clinical Emergency Hospital for Children “Louis Turcanu”, Timisoara, Romania
- Department of Functional Sciences, University of Medicine and Pharmacy “Victor Babes”, Timisoara, Romania
| | - Corina Paul
- Pediatrics Department – Pediatrics Discipline II, University of Medicine and Pharmacy “Victor Babes”, Timisoara, Romania
- Pediatrics, Endocrinology and Diabetes Department, Clinic II Pediatrics, “Pius Branzeu” Clinical Emergency County Hospital, Timisoara, Romania
| | - Nicoleta Andreescu
- Department of Microscopic Morphology - Genetics, Center of Genomic Medicine, University of Medicine and Pharmacy “Victor Babes”, Timisoara, Romania
- Regional Center of Medical Genetics Timis, Clinical Emergency Hospital for Children “Louis Turcanu”, Timisoara, Romania
- Correspondence: Nicoleta Andreescu Department of Microscopic Morphology - Genetics, Center of Genomic Medicine, University of Medicine and Pharmacy “Victor Babes”, Timisoara, Romania Email
| | - Iulian Velea
- Pediatrics Department – Pediatrics Discipline II, University of Medicine and Pharmacy “Victor Babes”, Timisoara, Romania
- Pediatrics, Endocrinology and Diabetes Department, Clinic II Pediatrics, “Pius Branzeu” Clinical Emergency County Hospital, Timisoara, Romania
| | - Alexandra Mihailescu
- Department of Microscopic Morphology - Genetics, Center of Genomic Medicine, University of Medicine and Pharmacy “Victor Babes”, Timisoara, Romania
| | - Vlad Serafim
- Department of Microscopic Morphology - Genetics, Center of Genomic Medicine, University of Medicine and Pharmacy “Victor Babes”, Timisoara, Romania
- The National Institute of Research and Development for Biological Sciences, Bucharest, Romania
| | - Diana-Andreea Tiugan
- Department of Microscopic Morphology - Genetics, Center of Genomic Medicine, University of Medicine and Pharmacy “Victor Babes”, Timisoara, Romania
| | - Paul Tutac
- Department of Microscopic Morphology - Genetics, Center of Genomic Medicine, University of Medicine and Pharmacy “Victor Babes”, Timisoara, Romania
| | - Cristian Zimbru
- Department of Microscopic Morphology - Genetics, Center of Genomic Medicine, University of Medicine and Pharmacy “Victor Babes”, Timisoara, Romania
- Department of Automation and Applied Informatics, Politehnica University of Timisoara, Timisoara, Romania
| | - Maria Puiu
- Department of Microscopic Morphology - Genetics, Center of Genomic Medicine, University of Medicine and Pharmacy “Victor Babes”, Timisoara, Romania
- Regional Center of Medical Genetics Timis, Clinical Emergency Hospital for Children “Louis Turcanu”, Timisoara, Romania
| | - Mihai Dinu Niculescu
- Department of Microscopic Morphology - Genetics, Center of Genomic Medicine, University of Medicine and Pharmacy “Victor Babes”, Timisoara, Romania
- Advanced Nutrigenomics, Cary, NC27511, USA
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