The Interaction Between Dietary Total Antioxidant Capacity and MC4R Gene and HOMA-IR in Metabolically Healthy and Unhealthy Overweight and Obese Women.
Maryam ElhamKia, Leila Setayesh, Habib Yarizadeh, Sara Pooyan, Zahra Veisy, Vajihe Aghamohammadi, Krista Casazza, Khadijeh Mirzaei
{"title":"The Interaction Between Dietary Total Antioxidant Capacity and MC4R Gene and HOMA-IR in Metabolically Healthy and Unhealthy Overweight and Obese Women.","authors":"Maryam ElhamKia, Leila Setayesh, Habib Yarizadeh, Sara Pooyan, Zahra Veisy, Vajihe Aghamohammadi, Krista Casazza, Khadijeh Mirzaei","doi":"10.1177/11786388221105984","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>The current prevalence of the metabolically healthy obesity is about 3%. Genetic and nutrition are influencers of such phenotypes. The main goal of this study was to assess the interaction between Dietary Total Antioxidant Capacity (DTAC) and the genotypes of MC4R and Insulin resistance in metabolically healthy/unhealthy overweight and obese women in Iran.</p><p><strong>Material and methods: </strong>This cross-sectional study was conducted on 237 overweight-obese women with a mean age of 36. The value of Dietary total antioxidant capacity (DTAC) was calculated using the following indices: Total reactive antioxidant potential (TRAP), Trolox equivalent antioxidant capacity (TEAC), and ferric reducing ability of plasma (FRAP). The Metabolic health status was evaluated using the Karelis criteria. Melanocortin 4 receptor single nucleotide polymorphisms were determined by the restriction fragment length polymorphism (PCR-RFLP) method. Also, insulin resistance was evaluated through homeostasis model assessment (HOMA).</p><p><strong>Result: </strong>Our data noted that 72.96% of participants presented Unhealthy Metabolically and 26.94% Healthy Metabolically including 33.5% of the total had T/T genotype, 23.8% had the C/T genotype, and 42.5% had the C/C genotype (<i>P</i> = .05). A linear regression model test showed that the probability of metabolically healthy obesity was significantly higher in patients with the T/C genotype. The test value was statistically significant (95% CI: 0.000-0.001; <i>P</i> = .056, β = 0). No statistically significant relation was observed between study parameters and DTAC values. HOMA-Index was higher in all unhealthy subjects significantly.</p><p><strong>Conclusions: </strong>The findings indicated that there are significant associations between genotypes of rs1333048 SNP and DTAC. The C/C genotype subjects with higher DTAC had a better lipid profile and were metabolically healthier.</p>","PeriodicalId":19396,"journal":{"name":"Nutrition and Metabolic Insights","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/b9/51/10.1177_11786388221105984.PMC9208029.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition and Metabolic Insights","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/11786388221105984","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: The current prevalence of the metabolically healthy obesity is about 3%. Genetic and nutrition are influencers of such phenotypes. The main goal of this study was to assess the interaction between Dietary Total Antioxidant Capacity (DTAC) and the genotypes of MC4R and Insulin resistance in metabolically healthy/unhealthy overweight and obese women in Iran.
Material and methods: This cross-sectional study was conducted on 237 overweight-obese women with a mean age of 36. The value of Dietary total antioxidant capacity (DTAC) was calculated using the following indices: Total reactive antioxidant potential (TRAP), Trolox equivalent antioxidant capacity (TEAC), and ferric reducing ability of plasma (FRAP). The Metabolic health status was evaluated using the Karelis criteria. Melanocortin 4 receptor single nucleotide polymorphisms were determined by the restriction fragment length polymorphism (PCR-RFLP) method. Also, insulin resistance was evaluated through homeostasis model assessment (HOMA).
Result: Our data noted that 72.96% of participants presented Unhealthy Metabolically and 26.94% Healthy Metabolically including 33.5% of the total had T/T genotype, 23.8% had the C/T genotype, and 42.5% had the C/C genotype (P = .05). A linear regression model test showed that the probability of metabolically healthy obesity was significantly higher in patients with the T/C genotype. The test value was statistically significant (95% CI: 0.000-0.001; P = .056, β = 0). No statistically significant relation was observed between study parameters and DTAC values. HOMA-Index was higher in all unhealthy subjects significantly.
Conclusions: The findings indicated that there are significant associations between genotypes of rs1333048 SNP and DTAC. The C/C genotype subjects with higher DTAC had a better lipid profile and were metabolically healthier.
期刊介绍:
Nutrition and Metabolic Insights is a peer-reviewed, open-access online journal focusing on all aspects of nutrition and metabolism. This encompasses nutrition, including the biochemistry of metabolism, exercise and associated physical processes and also includes clinical articles that relate to metabolism, such as obesity, lipidemias and diabetes. It includes research at the molecular, cellular and organismal levels. This journal welcomes new manuscripts for peer review on the following topics: Nutrition, including the biochemistry of metabolism, Exercise and associated physical processes, Clinical articles that relate to metabolism, such as obesity, lipidemias and diabetes, Research at the molecular, cellular and organismal levels, Other areas of interest include gene-nutrient interactions, the effects of hormones, models of metabolic function, macronutrient interactions, outcomes of changes in diet, and pathophysiology.