Mentzel Caroline M Junker, Cardoso Tainã Figueiredo, Pipper Christian Bressen, Jacobsen Mette Juul, Jørgensen Claus Bøttcher, Cirera Susanna, Fredholm Merete
Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Grønnegårdsvej 3, 1870, Frederiksberg C, Denmark.
Department of Animal Genetics, Center for Research in Agricultural Genomics (CSIC-IRTA-UAB-UB), Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.
Mol Genet Genomics. 2018 Feb;293(1):129-136. doi: 10.1007/s00438-017-1369-2. Epub 2017 Sep 14.
The aim of this study was to elucidate the relative impact of three phenotypes often used to characterize obesity on perturbation of molecular pathways involved in obesity. The three obesity-related phenotypes are (1) body mass index (BMI), (2) amount of subcutaneous adipose tissue (SATa), and (3) amount of retroperitoneal adipose tissue (RPATa). Although it is generally accepted that increasing amount of RPATa is 'unhealthy', a direct comparison of the relative impact of the three obesity-related phenotypes on gene expression has, to our knowledge, not been performed previously. We have used multiple linear models to analyze altered gene expression of selected obesity-related genes in tissues collected from 19 female pigs phenotypically characterized with respect to the obesity-related phenotypes. Gene expression was assessed by high-throughput qPCR in RNA from liver, skeletal muscle and abdominal adipose tissue. The stringent statistical approach used in the study has increased the power of the analysis compared to the classical approach of analysis in divergent groups of individuals. Our approach led to the identification of key components of cellular pathways that are modulated in the three tissues in association with changes in the three obesity-relevant phenotypes (BMI, SATa and RPATa). The deregulated pathways are involved in biosynthesis and transcript regulation in adipocytes, in lipid transport, lipolysis and metabolism, and in inflammatory responses. Deregulation seemed more comprehensive in liver (23 genes) compared to abdominal adipose tissue (10 genes) and muscle (3 genes). Notably, the study supports the notion that excess amount of intra-abdominal adipose tissue is associated with a greater metabolic disease risk. Our results provide molecular support for this notion by demonstrating that increasing amount of RPATa has a higher impact on perturbation of cellular pathways influencing obesity and obesity-related metabolic traits compared to increase in BMI and amount of SATa.
本研究的目的是阐明常用于表征肥胖的三种表型对肥胖相关分子途径扰动的相对影响。这三种与肥胖相关的表型分别是:(1)体重指数(BMI),(2)皮下脂肪组织量(SATa),以及(3)腹膜后脂肪组织量(RPATa)。尽管人们普遍认为RPATa量增加是“不健康的”,但据我们所知,此前尚未对这三种与肥胖相关的表型对基因表达的相对影响进行过直接比较。我们使用多元线性模型来分析从19头经肥胖相关表型特征化的雌性猪采集的组织中选定的肥胖相关基因的基因表达变化。通过高通量qPCR对肝脏、骨骼肌和腹部脂肪组织的RNA中的基因表达进行评估。与在不同个体组中进行分析的经典方法相比,本研究中使用的严格统计方法提高了分析效能。我们的方法导致鉴定出与三种肥胖相关表型(BMI、SATa和RPATa)变化相关的、在三种组织中受到调节的细胞途径的关键成分。失调的途径涉及脂肪细胞中的生物合成和转录调控、脂质运输、脂解和代谢以及炎症反应。与腹部脂肪组织(10个基因)和肌肉(3个基因)相比,肝脏中失调的途径似乎更广泛(23个基因)。值得注意的是,该研究支持腹内脂肪组织过多与更高的代谢疾病风险相关这一观点。我们的结果通过证明与BMI和SATa量的增加相比,RPATa量的增加对影响肥胖和肥胖相关代谢特征的细胞途径的扰动具有更高的影响,为这一观点提供了分子支持。