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1.
Diabetol Metab Syndr ; 14(1): 23, 2022 Jan 29.
Article in English | MEDLINE | ID: mdl-35093150

ABSTRACT

BACKGROUND: The comparatively low 25 hydroxyvitamin D [25(OH)D] levels have been reported in patients with metabolic syndrome (MetS). Herein we investigated the cross-sectional and longitudinal relationships between serum 25(OH)D levels and MetS risk profile in northern middle-aged Chinese subjects without vitamin D supplementation. METHODS: A cohort of 211 participants including 151 MetS patients and 60 controls at 20-69 years of age were enrolled from suburban Beijing, China. The recruited MetS patients were subjected to diet and exercise counselling for 1-year. All subjects at baseline and MetS patients after intervention underwent clinical evaluations. RESULTS: Serum 25(OH)D levels were significantly decreased in MetS patients. 25(OH)D levels were inversely related to MetS score, fasting blood glucose (FBG) and triglyceride-glucose index (TyG) after adjusting for cofounders (all P < 0.05). Participants in the lowest tertile of 25(OH)D levels had increased odds for MetS (P = 0.045), elevated FBG (P = 0.004) in all subjects, and one MetS score gain in MetS patients (P = 0.005). Longitudinally, the metabolic statuses as well as 25(OH)D levels of MetS patients were significantly improved (all P < 0.05), and the increase of 25(OH)D levels were inversely related to MetS scores, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), FBG, and TyG, while positively related to high-density lipoprotein cholesterol (HDL-C) after adjusting for confounders. CONCLUSIONS: 25(OH)D levels were significantly decreased in MetS patients, and it was negatively associated with metabolic dysfunctions at baseline and 1-year after. Metabolic aberrations of MetS patients were significantly ameliorated with 1-year follow-up counselling accompanying by notably elevated 25(OH)D levels.

2.
Gene ; 500(2): 211-5, 2012 Jun 01.
Article in English | MEDLINE | ID: mdl-22425975

ABSTRACT

OBJECTIVE: Zinc-α2-glycoprotein (ZAG) has been identified recently as a novel adipokine due to its close link with lipid and glucose metabolism, as well as regulation of body weight. The aim of our present study is to investigate the ZAG genetic polymorphism association with obesity in Chinese north Han population. DESIGN AND METHODS: Five SNPs of ZAG gene including rs2247607 (A>T), rs4727442 (G>T), rs4215 (A>G), rs2527923 (C>T) and rs2527882 (C>T) were genotyped in 648 overweight/obese patients and 313 healthy controls by TaqMan-PCR methods. Crosstabs statistical analysis method with subjects stratifying by age (≦ 30 y, 31-45 y, ≧ 46 y) and gender was used. RESULTS: The results showed the constitution of three genotype frequencies in rs4215 (A>G) site significantly differs in male subgroup (aged 31-45 y) between overweight/obese and healthy control group (χ(2)=6.401, P=0.041). GG genotype frequency in overweight/obese group is 19.3% which is much higher than 6.1% in healthy control group. Further statistical analysis under a recessive inheritance model demonstrated odd ratio (OR) for GG vs. AA+AG in overweight/obese group was 3.674 (95% CI 1.049-12.866; P=0.035). Among three genotypes of rs4215, the subjects with GG genotype have much more higher body weight, BMI, waist circumference and SBP. CONCLUSION: Our data, for the first time, suggest the genotypes of rs4215 in ZAG gene are significantly associated with obesity in Chinese north Han population. GG genotype subjects in rs4215 site have an increased susceptibility to obesity when compared with the AA+AG genotype subjects.


Subject(s)
Adipokines/genetics , Asian People/genetics , Body Weight/genetics , Obesity/genetics , Polymorphism, Single Nucleotide/genetics , Seminal Plasma Proteins/genetics , Adult , Base Sequence , Body Weights and Measures , Case-Control Studies , Female , Genetic Association Studies , Genetic Predisposition to Disease , Genotype , Humans , Linkage Disequilibrium , Male , Middle Aged , Molecular Sequence Data , Polymorphism, Restriction Fragment Length , Sequence Analysis, DNA , Zn-Alpha-2-Glycoprotein
3.
Gene ; 494(2): 237-41, 2012 Feb 25.
Article in English | MEDLINE | ID: mdl-22209717

ABSTRACT

CONTEXT: Myostatin (MSTN) is a member of the TGF-ß superfamily of signal transduction proteins, which plays an important role in muscular growth and lipid metabolism. OBJECTIVE: To study the association of myostatin gene polymorphisms with obesity in Chinese north Han human subjects. DESIGN: 297 healthy and 606 over-weight/obesity Chinese north Han subjects were selected as healthy control group and overweight/obesity group, respectively. The methods of DNA Sequencing, Restriction Fragment Length Polymorphism (RFLP) and TaqMan® probe were used to screen myostatin gene SNPs and clarify genotype in every individual. RESULTS: Total 11 SNPs in MSTN gene were identified by DNA sequencing and three SNPs including rs35781413 (G/A), rs3791783 (A/G) and rs3791782 (A/G) were selected for further study in total 903 samples. The results showed that the frequency of AA genotype of rs3791783 A/G SNP was significantly higher (56.4% vs. 50.8%) and the frequency GG genotype was significantly lower (3.2% vs. 6.7%) in overweight/obese patients than in normal weight subjects. A logistic regression analysis under a recessive inheritance model (AA+AG vs.GG) demonstrated that the Odd ratio for AA+AG vs.GG were 1.985 (95% CI 1.078-3.643; P=0.029). Among three genotypes of rs3791783, the subjects with AA genotype have much more higher body weight, BMI, waist circumference, TC, TG and LDL-C than those with GG genotype. CONCLUSIONS: Our data firstly suggest that genetic variant rs3791783 A/G in myostatin gene are associated with obesity. The A allele carriers in rs3791783 SNP have an increased susceptibility to obesity compared with the G allele carriers. Participants with AA genotype in rs3791783 SNP site will have higher risk suffered from overweight or obesity than those with GG genotype.


Subject(s)
Asian People/genetics , Myostatin/genetics , Obesity/genetics , Polymorphism, Single Nucleotide , Body Mass Index , Body Weight/genetics , Female , Humans , Male
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