Genetic Determination of Serum Levels of Diabetes-Associated Adipokines.

IF 4.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Applied Mathematical Modelling Pub Date : 2015-09-01 Epub Date: 2016-01-28 DOI:10.1900/RDS.2015.12.277
Dorit Schleinitz
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Abstract

Adipose tissue secretes an abundance of proteins. Some of these proteins are known as adipokines and adipose-derived hormones which have been linked with metabolic disorders, including type 2 diabetes, and even with cancer. Variance in serum adipokine concentration is often closely associated with an increase (obesity) or decrease (lipodystrophy) in fat tissue mass, and it is affected by age, gender, and localization of the adipose tissue. However, there may be genetic variants which, in consequence, influence the serum concentration of a certain adipokine, and thereby promote metabolic disturbances or, with regard to the "protective" allele, exert beneficial effects. This review focuses on the genetic determination of serum levels of the following adipokines: adiponectin, chemerin, leptin, progranulin, resistin, retinol binding protein 4, vaspin, adipsin, apelin, and omentin. The article reports on the latest findings from genome-wide association studies (GWAS) and candidate gene studies, showing variants located in/nearby the adipokine genes and other (non-receptor) genes. An extra chapter highlights adipokine-receptor variants. Epigenetic studies on adipokines are also addressed.

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糖尿病相关脂肪因子血清水平的基因测定
脂肪组织会分泌大量蛋白质。其中一些蛋白质被称为脂肪因子和脂肪衍生激素,它们与代谢紊乱(包括 2 型糖尿病)甚至癌症都有关联。血清脂肪因子浓度的变化通常与脂肪组织质量的增加(肥胖)或减少(脂肪营养不良)密切相关,并受年龄、性别和脂肪组织位置的影响。然而,基因变异可能会影响血清中某种脂肪因子的浓度,从而导致新陈代谢紊乱,或者在 "保护性 "等位基因的作用下,产生有益的影响。这篇综述主要探讨了以下脂肪因子血清水平的遗传学决定因素:脂肪连通素、螯合素、瘦素、前谷蛋白、抵抗素、视黄醇结合蛋白 4、vaspin、adipsin、apelin 和网织蛋白。文章报告了全基因组关联研究(GWAS)和候选基因研究的最新发现,显示了脂肪因子基因和其他(非受体)基因中/附近的变异。另有一章重点介绍脂肪因子受体变异。此外,还讨论了有关脂肪因子的表观遗传学研究。
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来源期刊
Applied Mathematical Modelling
Applied Mathematical Modelling 数学-工程:综合
CiteScore
9.80
自引率
8.00%
发文量
508
审稿时长
43 days
期刊介绍: Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged. This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering. Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.
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