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1.
J Transl Med ; 19(1): 350, 2021 08 16.
Article in English | MEDLINE | ID: mdl-34399781

ABSTRACT

BACKGROUND: The roles of FTO gene and the level of serum 25-OH-vitamin D in obesity are frequently reported. This study aimed to investigate the interactions of serum 25-OH-vitamin D level, FTO and IRX3 genes expression, and FTO genotype in obese and overweight boys. METHODS: This study was carried out on the 120 male adolescents with overweight in Tehran, Iran. Blood samples were collected from the participants in order to evaluate the serum level of 25-OH-vitamin D, the expression level of FTO and IRX3 genes, and FTO genotype for rs9930506 at baseline and after 18 weeks of the study. RESULTS: In general, no significant association was found between serum 25-OH-vitamin D level and IRX3 and FTO genes expression. The results of linear regression on the relationship between 25-OH-vitamin D serum level and FTO and IRX3 genes expression based on FTO genotypes for rs9930506 indicated that in AA/AG genotype carriers, serum 25-OH-vitamin D level was positively associated with FTO gene expression (B = 0.07, p = 0.02) and inversely associated with IRX3 gene expression (B = - 0.07, p = 0.03). In GG carriers, serum 25-OH-vitamin D level was not associated with expression of IRX3 and FTO genes. CONCLUSION: There are significant interactions between 25-OH-vitamin D and the expression of FTO and IRX3 genes in the subset of obese patients with specific genotypes for FTO rs9930506. There was no association between serum 25-OH-vitamin D levels and the expression of FTO and IRX genes in individuals with a homozygous genotype for the risk allele of the FTO gene polymorphism.


Subject(s)
Alpha-Ketoglutarate-Dependent Dioxygenase FTO , Polymorphism, Single Nucleotide , Adolescent , Alpha-Ketoglutarate-Dependent Dioxygenase FTO/genetics , Gene Expression , Genotype , Homeodomain Proteins/genetics , Humans , Iran , Male , Obesity/genetics , Overweight , Polymorphism, Single Nucleotide/genetics , Transcription Factors/genetics , Vitamin D
2.
Mol Biol Rep ; 47(4): 2459-2473, 2020 Apr.
Article in English | MEDLINE | ID: mdl-32140960

ABSTRACT

Low levels of coenzyme Q10 (CoQ10) have been reported in the circulation of patients with breast cancer, particularly in metastatic features. Our objective was to study the correlation between plasma levels of CoQ10 and the tumoral expression levels of AMPK, PFKFB3, VEGF, and VEGFR2. This study was a part of consecutive case series conducted on 100 women with newly diagnosed invasive ductal breast carcinoma, with an age range of 30-60 years. Plasma levels of CoQ10 were measured using HPLC coupled to an UV detector. The expression levels were quantified using quantitative real-time PCR. Structural equation modeling (SEM) was applied to generate pathways describing gene-to-gene inter-correlations. Using SEM identified AMPK expression to contribute positively to VEGF-A/VEGFR2 ratio (coefficient b = 0.64, P < 0.001). The VEGFR2 expression positively correlated with tumor size (coefficient b = 0.31, P < 0.001). A linear correlation between expression levels of AMPK and PFKFB3 was observed (rAdj = - 0.273, P = 0.02). Similarly, VEGF-A was correlated with VEGFR2 (rAdj = 0.698, P < 0.001). There were inverse significant correlations between CoQ10 and the fold changes of AMPK (rAdj = - 0.276, P = 0.030), VEGF-A (rAdj = - 0.319, P = 0.011) and VEGFR2 (rAdj = - 0.262, P = 0.045). The correlation between CoQ10 and the fold changes of PFKFB3 was significantly progesterone receptor (PR) dependent (rAdj = - 0.284, P = 0.041). Plasma CoQ10 was correlated with VEGF-A in hormone receptor-dependent mode (ER + : rAdj = - 0.286, P = 0.032 and PR + : rAdj = - 0.313, P = 0.025). Our findings could provide new insights suggesting CoQ10 can inversely correlate to the expression levels of VEGF-A/VEGFR2 as angiogenic factors and AMPK/PFKFB3 as biomarkers for tumoral glycolysis, especially in a hormone receptor-dependent manner to possibly prevent the progression of breast carcinogenesis.


Subject(s)
Breast Neoplasms/metabolism , Gene Expression Regulation, Neoplastic/genetics , Ubiquinone/analogs & derivatives , AMP-Activated Protein Kinases/metabolism , Adenylate Kinase/analysis , Adult , Biomarkers, Tumor/metabolism , Breast/metabolism , Breast Neoplasms/genetics , Female , Gene Expression/genetics , Humans , Middle Aged , Phosphofructokinase-2/analysis , Transcriptome/genetics , Ubiquinone/analysis , Ubiquinone/blood , Ubiquinone/metabolism , Vascular Endothelial Growth Factor A/analysis , Vascular Endothelial Growth Factor A/metabolism , Vascular Endothelial Growth Factor Receptor-2/analysis , Vascular Endothelial Growth Factor Receptor-2/metabolism
3.
Int J Prev Med ; 8: 73, 2017.
Article in English | MEDLINE | ID: mdl-29026505

ABSTRACT

BACKGROUND: Obesity in adolescence is the strongest risk factor for obesity in adulthood. This study aimed to evaluate the effects of a comprehensive lifestyle intervention on different anthropometric indices in 12-16-year-old boy adolescents after 12 Weeks of Intervention. METHODS: A total of 96 male adolescents from two schools participated in this study. The schools were randomly assigned to intervention (53 students) and control school (43 students). Height and weight of students were measured and their body mass index (BMI) was calculated. Body fat percent (BF) and body muscle percent (BM) was assessed using a bioimpedance analyzer considering the age, gender, and height of students at baseline and after intervention. The obesity reduction intervention was implemented in the intervention school based on the Ottawa charter for health promotion. RESULTS: Twelve weeks of intervention decreased BF percent in the intervention group in comparison with the control group (decreased by 1.81% in the intervention group and increased by 0.39% in the control group, P < 0.01). However, weight, BMI, and BM did not change significantly. CONCLUSIONS: The result of this study showed that a comprehensive lifestyle intervention decreased the body fat percent in obese adolescents, although these changes was not reflected in the BMI. It is possible that BMI is not a good indicator in assessment of the success of obesity management intervention.

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