脂联素基因变体rs266729与两种不同低热量饮食中不同常量营养素分布的相互作用

IF 2 4区 医学 Q3 GENETICS & HEREDITY Lifestyle Genomics Pub Date : 2019-11-20 DOI:10.1159/000503863
D. D. de Luis, D. Primo, O. Izaola, R. Aller
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引用次数: 5

摘要

背景:ADIPOQ基因变异在不同膳食脂肪量后减肥中的作用尚不清楚。目的:分析ADIPOQ基因多态性rs266729对两种低热量日粮中添加两种不同量脂肪后代谢变化的影响。设计:在一项随机临床试验中,招募了283名肥胖患者,采用两种饮食:饮食HF(高脂肪饮食:38%碳水化合物、24%蛋白质和38%脂肪)和饮食LF(低脂饮食:53%碳水化合物、20%蛋白质和27%脂肪)。在3个月之前和之后,进行了人体测量评估、营养摄入评估和生化分析。通过实时PCR评估ADIPOQ基因的变体。结果:在两种基因型中,两种饮食的减肥效果相似(CC与CG+GG)。饮食HF干预后,只有CC基因型受试者的胰岛素水平(-3.3±0.6 vs.-1.8±0.9 mU/L;p=0.03)和胰岛素抵抗稳态模型评估(HOMA-IR)(-1.3±0.1 vs.-0.8±0.2单位;p=0.02)有显著改善。饮食LF后,CC基因型受试者的总胆固醇水平(CC vs.CG+GG)(–15.3±1.4 vs.–6.4±1.3 mg/dL;p=0.01)、低密度脂蛋白胆固醇(–14.6±1.8 vs.–6.4+1.3 mg/dL,p=0.01)和胰岛素水平(–4.6±1.0 vs.–1.6±0.5 mU/L,p=0.001)显著改善,HOMA-IR(-1.6±0.1 vs.-1.0±0.2单位;p=0.02)。只有CC基因型受试者在两种饮食后脂联素水平显著升高(CC vs。CG+GG):日粮HF(10.6±2.0 vs.1.8±1.0 ng/dL;p=0.01)和日粮LF(16.1±2.8 vs.1.3±1.0 ng/dL:p=0.03)。此外,饮食LF显著改善了G等位基因非携带者的脂质状况。
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Adiponectin Gene Variant rs266729 Interacts with Different Macronutrient Distribution of Two Different Hypocaloric Diets
Background: The role of ADIPOQ gene variants in weight loss after different dietary fat amounts remains unclear. Objective: Our aim was to analyze the effects of ADIPOQ gene polymorphism rs266729 on metabolic changes after two different amounts of dietary fat in two hypocaloric diets. Design: A population of 283 obese patients was recruited in a randomized clinical trial with two diets: Diet HF (high-fat diet: 38% carbohydrates, 24% proteins, and 38% fats) versus Diet LF (low-fat diet: 53% carbohydrates, 20% proteins, and 27% fats). Before and after 3 months, an anthropometric evaluation, an assessment of nutritional intake, and a biochemical analysis were carried out. The variant of the ADIPOQgene was assessed by real-time PCR. Results: Weight loss was similar with both diets in both genotypes (CC vs. CG+GG). After dietary intervention with Diet HF, only subjects with CC genotype showed a significant improvement in insulin levels (–3.3 ± 0.6 vs. –1.8 ± 0.9 mU/L; p = 0.03) and the homeostasis model assessment for insulin resistance (HOMA-IR) (–1.3 ± 0.1 vs. –0.8 ± 0.2 units; p = 0.02). After Diet LF, subjects with CC genotype showed a significant improvement in total cholesterol levels (CC vs. CG+GG) (–15.3 ± 1.4 vs. –6.4 ± 1.3 mg/dL; p = 0.01), LDL cholesterol (–14.6 ± 1.8 vs. –6.4 ± 1.3 mg/dL; p = 0.01), insulin levels (–4.6 ± 1.0 vs. –1.6 ± 0.5 mU/L; p = 0.01), and HOMA-IR (–1.6 ± 0.1 vs. –1.0 ± 0.2 units; p = 0.02). Only subjects with CC genotype showed a significant increase of adiponectin levels after both diets (CC vs. CG+GG): Diet HF (10.6 ± 2.0 vs. 1.8 ± 1.0 ng/dL; p = 0.01) and Diet LF (16.1 ± 2.8 vs. 1.3 ± 1.0 ng/dL: p = 0.03). Conclusion: CC genotype of ADIPOQgene variantrs266729 was associated with a better metabolic response after both diets. Additionally, Diet LF produced a significant improvement in lipid profile in noncarriers of allele G.
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来源期刊
Lifestyle Genomics
Lifestyle Genomics Agricultural and Biological Sciences-Food Science
CiteScore
4.00
自引率
7.70%
发文量
11
审稿时长
28 weeks
期刊介绍: Lifestyle Genomics aims to provide a forum for highlighting new advances in the broad area of lifestyle-gene interactions and their influence on health and disease. The journal welcomes novel contributions that investigate how genetics may influence a person’s response to lifestyle factors, such as diet and nutrition, natural health products, physical activity, and sleep, amongst others. Additionally, contributions examining how lifestyle factors influence the expression/abundance of genes, proteins and metabolites in cell and animal models as well as in humans are also of interest. The journal will publish high-quality original research papers, brief research communications, reviews outlining timely advances in the field, and brief research methods pertaining to lifestyle genomics. It will also include a unique section under the heading “Market Place” presenting articles of companies active in the area of lifestyle genomics. Research articles will undergo rigorous scientific as well as statistical/bioinformatic review to ensure excellence.
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