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Mlodzik-Czyzewska MA, Malinowska AM, Szwengiel A, Chmurzynska A. Associations of plasma betaine, plasma choline, choline intake and MTHFR polymorphism (rs1801133) with anthropometric parameters of healthy adults are sex-dependent. J Hum Nutr Diet 2022; 35:701-712. [PMID: 35668704 DOI: 10.1111/jhn.13046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 05/27/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVE Choline and its metabolites seem to have relationships with body mass index (BMI), body fat, and body weight, but research results have proved inconsistent. We thus investigated the associations of plasma levels of TMAO, choline, and betaine, with anthropometric measurements, including modulatory effects of genetics and diet. METHODS The study was performed on a group of 421 adults aged 20 to 40, who had been recruited in Poland. Plasma concentrations of choline, betaine, and TMAO were determined using RP-UHPLC-ESI-MS. The following polymorphisms were genotyped using TaqMan probes: rs180113 (MTHFR), the rs70991108 (DHFR), rs2236225 (MTHFD1), and rs7946 and rs12325817 (PEMT). We employed multivariate linear regression to examine the associations between anthropometric measurements, one carbon metabolism metabolites, and genotypes. RESULTS Higher plasma choline was associated with higher BMI (β=0.17; p< 0.01), body weight (β=0.11; p< 0.05), body fat mass (β=0.10; p<0.05), and waist circumference (WC) (β=0.14; p<0.01), whereas higher choline intake was associated with lower body fat mass (β=-0.14; p< 0.01), and lower WC (β=-0.12; p<0.01). After stratification by sex, plasma betaine was found to be associated with BMI (β=-0.20; p<0.05) and body weight (β=-0.16; p<0.05) in men only, while choline intake was associated with body fat mass (β=-0.19; p<0.05), and WHR (β=-0.19; p<0.05), and MTHFR CC genotype was associated with WHR (β=0.15; p<0.05) in women only. CONCLUSIONS Higher plasma betaine and higher dietary choline are associated with lower fat mass and body weight, whereas higher plasma choline is positively associated with body weight status and adiposity. Moreover, these associations seem to be sex-specific. This article is protected by copyright. All rights reserved.
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Affiliation(s)
| | - Anna M Malinowska
- Department of Human Nutrition and Dietetics, Poznań University of Life Sciences, Poland
| | - Artur Szwengiel
- Department of Fermentation and Biosynthesis, Institute of Food Technology of Plant Origin, Poznań University of Life Sciences, Poland
| | - Agata Chmurzynska
- Department of Human Nutrition and Dietetics, Poznań University of Life Sciences, Poland
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Li Y, Nieuwenhuis LM, Voskuil MD, Gacesa R, Hu S, Jansen BH, Venema WTU, Hepkema BG, Blokzijl H, Verkade HJ, Lisman T, Weersma RK, Porte RJ, Festen EAM, de Meijer VE. Donor genetic variants as risk factors for thrombosis after liver transplantation: A genome-wide association study. Am J Transplant 2021; 21:3133-3147. [PMID: 33445220 PMCID: PMC8518362 DOI: 10.1111/ajt.16490] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 12/30/2020] [Accepted: 01/04/2021] [Indexed: 01/25/2023]
Abstract
Thrombosis after liver transplantation substantially impairs graft- and patient survival. Inevitably, heritable disorders of coagulation originating in the donor liver are transmitted by transplantation. We hypothesized that genetic variants in donor thrombophilia genes are associated with increased risk of posttransplant thrombosis. We genotyped 775 donors for adult recipients and 310 donors for pediatric recipients transplanted between 1993 and 2018. We determined the association between known donor thrombophilia gene variants and recipient posttransplant thrombosis. In addition, we performed a genome-wide association study (GWAS) and meta-analyzed 1085 liver transplantations. In our donor cohort, known thrombosis risk loci were not associated with posttransplant thrombosis, suggesting that it is unnecessary to exclude liver donors based on thrombosis-susceptible polymorphisms. By performing a meta-GWAS from children and adults, we identified 280 variants in 55 loci at suggestive genetic significance threshold. Downstream prioritization strategies identified biologically plausible candidate genes, among which were AK4 (rs11208611-T, p = 4.22 × 10-05 ) which encodes a protein that regulates cellular ATP levels and concurrent activation of AMPK and mTOR, and RGS5 (rs10917696-C, p = 2.62 × 10-05 ) which is involved in vascular development. We provide evidence that common genetic variants in the donor, but not previously known thrombophilia-related variants, are associated with increased risk of thrombosis after liver transplantation.
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Affiliation(s)
- Yanni Li
- Department of Gastroenterology and HepatologyUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands,Department of GeneticsUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands
| | - Lianne M. Nieuwenhuis
- Department of SurgerySection of Hepatobiliary Surgery and Liver TransplantationUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands
| | - Michiel D. Voskuil
- Department of Gastroenterology and HepatologyUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands
| | - Ranko Gacesa
- Department of Gastroenterology and HepatologyUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands
| | - Shixian Hu
- Department of Gastroenterology and HepatologyUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands
| | - Bernadien H. Jansen
- Department of Gastroenterology and HepatologyUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands
| | - Werna T. U. Venema
- Department of Gastroenterology and HepatologyUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands
| | - Bouke G. Hepkema
- Department of Laboratory MedicineUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands
| | - Hans Blokzijl
- Department of Gastroenterology and HepatologyUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands
| | - Henkjan J. Verkade
- Department of Pediatric Gastroenterology and HepatologyUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands
| | - Ton Lisman
- Department of SurgerySection of Hepatobiliary Surgery and Liver TransplantationUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands
| | - Rinse K. Weersma
- Department of Gastroenterology and HepatologyUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands
| | - Robert J. Porte
- Department of SurgerySection of Hepatobiliary Surgery and Liver TransplantationUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands
| | - Eleonora A. M. Festen
- Department of Gastroenterology and HepatologyUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands,Department of GeneticsUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands
| | - Vincent E. de Meijer
- Department of SurgerySection of Hepatobiliary Surgery and Liver TransplantationUniversity of GroningenUniversity Medical Center GroningenGroningenthe Netherlands
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Razbekova M, Issanov A, Chan MY, Chan R, Yerezhepov D, Kozhamkulov U, Akilzhanova A, Chan CK. Genetic factors associated with obesity risks in a Kazakhstani population. BMJ Nutr Prev Health 2021; 4:90-101. [PMID: 34308116 PMCID: PMC8258080 DOI: 10.1136/bmjnph-2020-000139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 12/03/2020] [Accepted: 01/06/2021] [Indexed: 11/03/2022] Open
Abstract
Objectives There is limited published literature on the genetic risks of chronic inflammatory related disease (eg, obesity and cardiovascular disease) among the Central Asia population. The aim is to determine potential genetic loci as risk factors for obesity for the Kazakhstani population. Setting Kazakhstan. Participants One hundred and sixty-three Kazakhstani nationals (ethnic groups: both Russians and Kazakhs) were recruited for the cross-sectional study. Linear regression models, adjusted for confounding factors, were used to examine the genetic associations of single nucleotide polymorphisms (SNPs) in 19 genetic loci with obesity (73 obese/overweight individuals and 90 controls). Results Overall, logistic regression analyses revealed genotypes C/T in CRP (rs1205), A/C in AGTR1 (rs5186), A/G in CBS (rs234706), G/G in FUT2 (rs602662), A/G in PAI-1 (rs1799889), G/T (rs1801131) and A/G (rs1801133) in MTHFR genes significantly decrease risk of overweight/obesity. After stratification for ethnicity, rs234706 was significantly associated with overweight/obesity in both Russians and Kazakhs, while rs1800871 was significant in Kazakhs only. Conclusions This study revealed that variations in SNPs known to be associated with cardiovascular health can also contribute to the risks of developing obesity in the population of Kazakhstan.
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Affiliation(s)
- Madina Razbekova
- School of Medicine, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Alpamys Issanov
- School of Medicine, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Mei-Yen Chan
- School of Medicine, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Robbie Chan
- Eastern Health, Melbourne, Victoria, Australia
| | | | | | | | - Chee-Kai Chan
- School of Medicine, Nazarbayev University, Nur-Sultan, Kazakhstan
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Pang H, Zong Z, Hao L, Cao Q. ABO blood group influences risk of venous thromboembolism and myocardial infarction. J Thromb Thrombolysis 2019; 50:430-438. [DOI: 10.1007/s11239-019-02012-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Leal-Ugarte E, Peralta-Leal V, Meza-Espinoza JP, Durán-González J, Macías-Gómez N, Bocanegra-Alonso A, Lara-Ramos JR. Association of the MTHFR 677C>T Polymorphism with Obesity and Biochemical Variables in a Young Population of Mexico. J Med Biochem 2019; 38:461-467. [PMID: 31496910 PMCID: PMC6708291 DOI: 10.2478/jomb-2018-0046] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Accepted: 12/05/2018] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Methylenetetrahydrofolate reductase (MTHFR) gene polymorphisms have been associated with overweight people and obesity. The goal of this study was to investigate the relationship of the MTHFR 677C>T polymorphism with obesity and biochemical variables in young individuals of Mexico. METHODS A total of 316 young individuals were included in the study, 172 with normal weight (NW) and 144 with over weight/obesity. Body mass index (BMI) was classified as NW, overweight, and obesity. Also, waist circumference was measured. Moreover, glucose, total cholesterol, and triglycerides were determined. Genotyping for MTHFR 677C>T polymorphism was performed by the PCR-RFLP method. RESULTS There was no difference in the distribution of the MTHFR 677C>T polymorphism between individuals with NW and overweight/obesity; neither when they were divided by overweight vs NW, nor when we contrasted obese vs NW. However, an analysis stratified by gender showed a significant protector effect of the TT genotype against obesity in males and elevated waist circumference in females. Also, overweight/obese individuals with TT genotype had less risk of high cholesterol or triglycerides than overweight/obese subjects with the other genotypes. CONCLUSIONS These results suggest that the MTHFR 677T polymorphism might not be a risk factor for being overweight/obesity. Rather, on the basis of our results, this variant could be a protector effect. However, further large-scale population-based studies are still necessary to clarify the role of the MTHFR 677C>T polymorphism in overweight, obesity, and lipid profile level.
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Affiliation(s)
- Evelia Leal-Ugarte
- Facultad de Medicina e Ingeniería en Sistemas Computacionales de Matamoros, Universidad Autónoma de Tamaulipas, Sendero Nacional km 3, Col San José, Matamoros, Tamps., México
| | - Valeria Peralta-Leal
- Facultad de Medicina e Ingeniería en Sistemas Computacionales de Matamoros, Universidad Autónoma de Tamaulipas, Sendero Nacional km 3, Col San José, Matamoros, Tamps., México
| | - Juan Pablo Meza-Espinoza
- Facultad de Medicina e Ingeniería en Sistemas Computacionales de Matamoros, Universidad Autónoma de Tamaulipas, Sendero Nacional km 3, Col San José, Matamoros, Tamps., México
| | - Jorge Durán-González
- Facultad de Medicina e Ingeniería en Sistemas Computacionales de Matamoros, Universidad Autónoma de Tamaulipas, Sendero Nacional km 3, Col San José, Matamoros, Tamps., México
| | - Nelly Macías-Gómez
- Centro Universitario del Sur, Universidad de Guadalajara, Av. Enrique Arreola Silva # 883, Col Centro, Ciudad Guzmán, Jal., México
| | - Anabel Bocanegra-Alonso
- Unidad Académica Multidisciplinaria Reynosa-Aztlán, Universidad Autónoma de Tamaulipas, Calle 16 y Lago de Chapala, Col Aztlán, Reynosa, Tamps., México
| | - José Ramón Lara-Ramos
- Unidad Académica Multidisciplinaria Reynosa-Aztlán, Universidad Autónoma de Tamaulipas, Calle 16 y Lago de Chapala, Col Aztlán, Reynosa, Tamps., México
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Fu L, Li YN, Luo D, Deng S, Hu YQ. Plausible relationship between homocysteine and obesity risk via MTHFR gene: a meta-analysis of 38,317 individuals implementing Mendelian randomization. Diabetes Metab Syndr Obes 2019; 12:1201-1212. [PMID: 31413611 PMCID: PMC6662519 DOI: 10.2147/dmso.s205379] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Accepted: 05/31/2019] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE Numerous studies have explored the role of methylenetetrahydrofolate reductase gene (MTHFR) C677T polymorphism and homocysteine (Hcy) concentration in obesity, but the results are inconsistent. Hence, we performed a meta-analysis implementing Mendelian randomization approach to test the assumption that the increased Hcy concentration is plausibly related to the elevated risk of obesity. METHODS Eligible studies were selected based on several inclusion and exclusion criteria. Correlations between MTHFR C677T and obesity risk, MTHFR C677T and Hcy concentration in obesity, Hcy concentration, and obesity were estimated by ORs, effect size and standard mean difference with their corresponding 95% CIs, respectively. Furthermore, Mendelian randomization analysis was performed to estimate the relationship between Hcy level and obesity. RESULTS Consequently, this meta-analysis implemented with Mendelian randomization approach was conducted among 8,622 cases and 29,695 controls. The results indicated that MTHFR C677T is associated with an increased risk of obesity (for T vs C: OR=1.06, 95% CI=1.02-1.10; for TT vs CC: OR=1.13, 95% CI=1.03-1.24). Moreover, in obese subjects, the pooled Hcy concentration in individuals of TT genotype was 2.91 mmol/L (95% CI: 0.27-5.55) higher than that in individuals of CC genotype. Furthermore, the pooled Hcy concentration in subjects with obesity was 0.74 mmol/L (95% CI: 0.36-1.12) higher than that in controls. The evaluated plausible OR associated with obesity was 1.23 for 5 μmol/L Hcy level increase. CONCLUSIONS Through this meta-analysis, we emphasize a strong relationship between Hcy level and obesity by virtue of MTHFR C677T polymorphism.
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Affiliation(s)
- Liwan Fu
- State Key Laboratory of Genetic Engineering, Institute of Biostatistics, School of Life Sciences, Fudan University, Shanghai, People’s Republic of China
| | - Ya-nan Li
- State Key Laboratory of Genetic Engineering, Institute of Biostatistics, School of Life Sciences, Fudan University, Shanghai, People’s Republic of China
| | - Dongmei Luo
- State Key Laboratory of Genetic Engineering, Institute of Biostatistics, School of Life Sciences, Fudan University, Shanghai, People’s Republic of China
- Department of Information and Computing Science, School of Mathematics and Physics, Anhui University of Technology, Maanshan, Anhui, People’s Republic of China
| | - Shufang Deng
- State Key Laboratory of Genetic Engineering, Institute of Biostatistics, School of Life Sciences, Fudan University, Shanghai, People’s Republic of China
| | - Yue-Qing Hu
- State Key Laboratory of Genetic Engineering, Institute of Biostatistics, School of Life Sciences, Fudan University, Shanghai, People’s Republic of China
- Shanghai Center for Mathematical Sciences, Fudan University, Shanghai, People’s Republic of China
- Correspondence: Yue-Qing HuState Key Laboratory of Genetic Engineering, Institute of Biostatistics, School of Life Sciences, Fudan University, 2005, Songhu Road, Shanghai200438, People’s Republic of ChinaTel +86 21 3124 6718Fax +86 21 3124 6381Email
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