代谢健康和不健康的超重和肥胖女性的膳食总抗氧化能力与 MC4R 基因和 HOMA-IR 之间的相互作用

IF 2.3 Q3 NUTRITION & DIETETICS Nutrition and Metabolic Insights Pub Date : 2022-06-16 eCollection Date: 2022-01-01 DOI:10.1177/11786388221105984
Maryam ElhamKia, Leila Setayesh, Habib Yarizadeh, Sara Pooyan, Zahra Veisy, Vajihe Aghamohammadi, Krista Casazza, Khadijeh Mirzaei
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引用次数: 0

摘要

导言目前,代谢健康型肥胖的发病率约为 3%。遗传和营养是此类表型的影响因素。本研究的主要目的是评估伊朗代谢健康/不健康超重和肥胖妇女的膳食总抗氧化能力(DTAC)与 MC4R 基因型和胰岛素抵抗之间的相互作用:这项横断面研究的对象是 237 名超重-肥胖妇女,平均年龄为 36 岁。膳食总抗氧化能力(DTAC)值通过以下指标计算得出:总活性抗氧化潜能(TRAP)、三氧化碳当量抗氧化能力(TEAC)和血浆铁还原能力(FRAP)。代谢健康状况采用 Karelis 标准进行评估。采用限制性片段长度多态性(PCR-RFLP)方法测定黑色素皮质素 4 受体的单核苷酸多态性。此外,还通过稳态模型评估(HOMA)对胰岛素抵抗进行了评估:我们的数据显示,72.96%的参与者代谢不健康,26.94%的参与者代谢健康,其中33.5%的参与者基因型为T/T,23.8%的参与者基因型为C/T,42.5%的参与者基因型为C/C(P = .05)。线性回归模型试验显示,T/C 基因型患者代谢健康肥胖的概率明显更高。检验值具有统计学意义(95% CI:0.000-0.001;P = .056,β = 0)。研究参数与 DTAC 值之间没有统计学意义。所有不健康受试者的 HOMA 指数都明显较高:结论:研究结果表明,rs1333048 SNP 的基因型与 DTAC 之间存在明显关联。DTAC 较高的 C/C 基因型受试者的血脂状况更好,代谢更健康。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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The Interaction Between Dietary Total Antioxidant Capacity and MC4R Gene and HOMA-IR in Metabolically Healthy and Unhealthy Overweight and Obese Women.

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.

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来源期刊
Nutrition and Metabolic Insights
Nutrition and Metabolic Insights NUTRITION & DIETETICS-
CiteScore
3.30
自引率
0.00%
发文量
27
审稿时长
8 weeks
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.
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