混合膳食挑战对肝脏脂肪含量高与低的健康腹部肥胖受试者脂肪组织代谢途径的差异调节:一项随机临床试验的二次分析。

IF 4.1 2区 医学 Q2 NUTRITION & DIETETICS
Yan Fang, Guido J E J Hooiveld, Lydia A Afman
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引用次数: 0

摘要

背景:肝脏脂肪增加会增加慢性代谢性疾病的风险。本研究是一项探索性的二次分析,旨在(1)研究腹部皮下脂肪组织(SAT)对高脂肪-高葡萄糖膳食挑战的转录组反应是否会因肝脏脂肪积累水平的不同而不同;(2)确定腹部皮下脂肪组织代谢中可能与肝脏脂肪积累相关的途径。我们比较了不同肝脏脂肪水平的个体,研究了空腹和混合饮食时腹部SAT基因表达和通路活性的差异。方法:从先前干预研究的110名中年参与者中选取66名,按肝内脂质(IHL)的位数将参与者分为高肝脂组(n = 22, IHL: 8.0%-32.6%)、中肝脂组(n = 22, IHL: 2.5%-8.0%)和低肝脂组(n = 22, IHL: 0.1%-2.5%)。参与者接受高脂肪高葡萄糖混合膳食挑战(3833 kJ)。攻毒前和攻毒后4 h采集腹腔SAT样本,进行微阵列基因表达分析。结果:在空腹时,87组基因表达不同(FDR)。结论:与低肝脂肪个体相比,高肝脂肪个体在空腹和高脂高糖刺激后,腹部SAT的基因表达较低,但能量相关通路的反应较高。这是肝脏脂肪储存增加的原因还是结果,还是胰岛素抵抗的早期阶段,都需要进一步研究。试验注册:该试验在clinicaltrials.gov注册为NCT02194504。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mixed-meal challenge differentially modulates metabolic pathways in adipose tissue in healthy abdominally obese subjects with high versus low liver fat: a secondary analysis of a randomized clinical trial.

Background: Increased liver fat increases the risk of chronic metabolic diseases. This study is an exploratory secondary analysis aimed at (1) investigating whether transcriptomic responses of abdominal subcutaneous adipose tissue (SAT) to a high-fat-high-glucose meal challenge differ according to varying levels of liver fat accumulation and (2) identifying pathways in abdominal SAT metabolism that may be related to liver fat accumulation. We examined differences in abdominal SAT gene expression and pathway activity both at fasting and in response to a mixed-meal challenge, comparing individuals with varying levels of liver fat.

Method: From the subset of 66 of 110 middle-aged participants of a previous intervention study, we grouped participants by tertiles of intrahepatic lipids (IHL) into high liver fat group (n = 22, IHL: 8.0%-32.6%), middle liver fat group (n = 22, IHL: 2.5%-8.0%) and low liver fat group (n = 22, IHL: 0.1%-2.5%). Participants received a high-fat-high-glucose mixed-meal challenge (3833 kJ). Abdominal SAT samples were collected before and 4 h after the challenge for microarray gene expression analysis.

Results: At fasting, 87 gene sets were differently expressed (FDR < 0.25) between the high and the low liver fat group, and 66 gene sets were differently expressed between the high and middle liver fat group, pathways related to energy metabolism were lower expressed in the high compared to the low liver fat group. Postprandially, 17 gene sets responded differently to the mixed meal challenge, of which 7 changed within the high liver fat group, 2 changed within the middle liver fat group and 4 within the low liver fat group. The challenge increased the expression of genes involved in oxidative phosphorylation more in the high compared to the low liver fat group.

Conclusions: Compared to individuals with low liver fat, individuals with high liver fat have lower gene expression but a higher response of energy-related pathways in abdominal SAT at fasting and after a high-fat-high-glucose challenge. Whether this is the cause or consequence of increased liver fat storage or an early stage of insulin resistance needs to be investigated.

Trial registration: This trial was registered at clinicaltrials.gov as NCT02194504.

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来源期刊
Nutrition & Metabolism
Nutrition & Metabolism 医学-营养学
CiteScore
8.40
自引率
0.00%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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