Vitamin D Receptor Polymorphisms Associated with Susceptibility to Obesity: A Meta-Analysis

Chen, Xi; Wang, Wenjing; Wang, Yanyan; Han, Xiao; Gao, Lei

doi:10.12659/msm.915678

Cited by 10 publications

(3 citation statements)

References 28 publications

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“…Another meta-analysis by Zeng et al [62] confirmed that the BsmI (rs739837) SNP was associated with GDM, and Wang et al [82] confirmed that the FokI SNP may confer susceptibility to GDM. In addition, meta-analysis studies have documented other human diseases, such as T2DM [63], obesity [83], CVD [84], and polycystic ovary syndrome (PCOS) [85], which are all risk factors for GDM and showed associations with specific SNPs in the VDR gene [63,[83][84][85].…”

Section: Discussionmentioning

confidence: 99%

Relevance of Serum Levels and Functional Genetic Variants in Vitamin D Receptor Gene among Saudi Women with Gestational Diabetes Mellitus

Ali Khan,

Alhaizan,

Neyazi

et al. 2023

Nutrients

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Background: This study explored the association between ApaI–TaqI Single Nucleotide Polymorphisms (SNPs) in a Vitamin D receptor (VDR) and the risk of Gestational Diabetes Mellitus (GDM) in Saudi women, along with the serum levels of vitamin D. Methods: Ninety women with GDM and 90 non-GDM women were enrolled, based on the inclusion and exclusion criteria for pregnant women enrolled in a single-center study. Blood samples were retrieved from 180 pregnant women using ethylenediaminetetraacetic acid (EDTA) tubes. Serum samples were used to measure the vitamin D, 25-hydroxyvitamin D (25(OH)D or calcidiol), and lipid profiles. Blood was used to measure the hemoglobin A1c levels and to isolate the DNA. The polymerase chain reaction (PCR) was performed for the ApaI (rs79785232), BsmI (rs1544410), FokI (rs2228570), and TaqI (rs731236) SNPs in the VDR gene using restriction fragment length polymorphism analysis. Validation was performed using Sanger sequencing. Statistical analyses were performed between the patients with and without GDM using various statistical software packages. Results: The Hardy–Weinberg equilibrium analysis was statistically significant (p > 0.05). The ApaI, BsmI, and TaqI SNPs were associated with alleles, genotypes, and different genetic models (p < 0.05). Vitamin D levels were associated with deficient levels (p = 0.0002), as well as with a normal and overweight body mass index (p = 0.0004). When vitamin D levels were measured with GDM covariates, the fasting plasma glucose (FPG) (p = 0.0001), postprandial blood glucose (PPBG) (p < 0.0001), oral glucose tolerance test (OGTT)-1 h (p = 0.005), high-density lipoprotein (p = 0.022), and low-density lipoprotein cholesterol (LDLc) (p = 0.001) levels were significantly different. When similar vitamin D levels were measured for each genotype, we confirmed that the ApaI SNP was associated with sufficient levels (p < 0.0001), whereas the BsmI, FokI, and TaqI (p < 0.05) were associated with insufficient levels. The logistic regression model confirmed that the first hour of the OGTT (p = 0.005) was strongly associated with GDM, whereas the analysis of variance confirmed that FPG and PPBG (p < 0.05) were strongly associated with all the SNPs evaluated in the VDR gene. Additionally, the second hour of the OGTT (p = 0.048) and LDLc (p = 0.049) were associated with the ApaI and FokI SNP. Moreover, the first hour OGTT (p = 0.045) and lipid profile parameters (p < 0.05) were associated. Haplotype analysis revealed positive associations among the examined SNPs, which seemed compatible with the hypothesis that variants and combinations of multiple SNP genotypes enhance the risk of GDM in women. Haplotype analysis revealed that different combinations of alleles, such as AGCC, CATT, CGTC, AGTC, and CATT (p < 0.05), were strongly associated. The linkage disequilibrium (LD) analysis showed a strong association with all combinations (p < 0.05). Among the gene–gene interactions, all possible combinations showed a positive association (p < 0.05). Conclusions: Low vitamin D levels were observed in women with GDM. The ApaI, BsmI, and TaqI SNPs were associated with genotype and allele frequencies (p < 0.05). Vitamin D and the SNPs in the VDR gene were associated, according to the ANOVA, logistic regression, haplotype analysis, LD analysis, and the generalized multifactor dimensionality reduction model (p < 0.05).

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Section: Discussionmentioning

confidence: 99%

Relevance of Serum Levels and Functional Genetic Variants in Vitamin D Receptor Gene among Saudi Women with Gestational Diabetes Mellitus

Ali Khan,

Alhaizan,

Neyazi

et al. 2023

Nutrients

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“…Moreover, Mirzazadeh et al reported the prevalence of obesity as 13.7% in men and as 27.3% in women (9). VDR gene polymorphisms have been frequently found to be related to obesity, although these findings differ by population (10)(11)(12).…”

Section: Conclusiónmentioning

confidence: 99%

“…Mirzazadeh, et al ., have reported an obesity prevalence of 13.7% in men and 27.3% in women 9 . Frequently, VDR gene polymorphisms have been found to be related to obesity, although these findings differ depending on the population 10 - 12 . Considering them as risk factors for obesity, we studied three of these polymorphisms: Taq I, Apa I, and Bsm I, and their relationships with serum factors in an obese Iranian population.…”

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confidence: 99%

Association of VDR gene ApaI polymorphism with obesity in Iranian population

Ostadsharif

Rashidi

2021

biomedica

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Introduction: Identifying the risk factors of obesity as a problem facing communities is crucial given its complexity. The vitamin D receptor (VDR) gene has been reported as a candidate for this disease in literature. Objective: To investigate the association of ApaI, BsmI and TaqI polymorphisms of VDR gene with obesity in part of Iranian population. Material and methods: In this study, genotypes of 348 obese (BMI ≥30 kg/m2) and 320 non-obese (BMI: 18.5-24.9 kg/m2) were analyzed by using PCR-RFLP method. The levels of FBS, TG, Total Cholesterol, HDL- Cholesterol and LDL- Cholesterol were measured by using an automatic biochemical analyzer. Results: The present findings showed significantly higher BMI, FBS and TG in the obese group compared to in the controls. In the obese individuals, the frequency of genotype AA was 47.1% and that of combined genotype Aa+aa 52.9%, whereas these figures were respectively 30% and 70% in the controls [P=0.024, 95% confidence interval (CI)=1.100-3.933, odds ratio (OR)=2.08]. The frequencies of A and a alleles for the ApaI polymorphism were statistically significant in the two groups (allele A vs. a, P=0.017). No significant relationships were also observed between TaqI genotypes and alleles in the controls and obese subjects. Conclusion: The present study found VDR ApaI (rs7975232 C/A) polymorphism appeared to be a risk factor for obesity. In particular, A allele and genotype of AA in ApaI were associated with the obesity phenotypes.

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The Future of Obesity Management through Precision Nutrition: Putting the Individual at the Center

Ulusoy-Gezer,

Rakıcıoğlu

2024

Curr Nutr Rep

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Purpose of Review The prevalence of obesity continues to rise steadily. While obesity management typically relies on dietary and lifestyle modifications, individual responses to these interventions vary widely. Clinical guidelines for overweight and obesity stress the importance of personalized approaches to care. This review aims to underscore the role of precision nutrition in delivering tailored interventions for obesity management. Recent Findings Recent technological strides have expanded our ability to detect obesity-related genetic polymorphisms, with machine learning algorithms proving pivotal in analyzing intricate genomic data. Machine learning algorithms can also predict postprandial glucose, triglyceride, and insulin levels, facilitating customized dietary interventions and ultimately leading to successful weight loss. Additionally, given that adherence to dietary recommendations is one of the key predictors of weight loss success, employing more objective methods for dietary assessment and monitoring can enhance sustained long-term compliance. Summary Biomarkers of food intake hold promise for a more objective dietary assessment. Acknowledging the multifaceted nature of obesity, precision nutrition stands poised to transform obesity management by tailoring dietary interventions to individuals' genetic backgrounds, gut microbiota, metabolic profiles, and behavioral patterns. However, there is insufficient evidence demonstrating the superiority of precision nutrition over traditional dietary recommendations. The integration of precision nutrition into routine clinical practice requires further validation through randomized controlled trials and the accumulation of a larger body of evidence to strengthen its foundation.

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Vitamin D Receptor Polymorphisms Associated with Susceptibility to Obesity: A Meta-Analysis

Cited by 10 publications

References 28 publications

Relevance of Serum Levels and Functional Genetic Variants in Vitamin D Receptor Gene among Saudi Women with Gestational Diabetes Mellitus

Relevance of Serum Levels and Functional Genetic Variants in Vitamin D Receptor Gene among Saudi Women with Gestational Diabetes Mellitus

Association of VDR gene ApaI polymorphism with obesity in Iranian population

The Future of Obesity Management through Precision Nutrition: Putting the Individual at the Center

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