Mathur Sandeep Kumar, Jain Priyanka, Mathur Prashant
Department of Endocrinology, S. M. S. Medical College, India.
J Obes. 2011;2011:587495. doi: 10.1155/2011/587495. Epub 2011 Apr 28.
Clustering of insulin resistance and dysmetabolism with obesity is attributed to pathologic adipose tissue. The morphologic hallmarks of this pathology are adipocye hypertrophy and heightened inflammation. However, it's underlying molecular mechanisms remains unknown. Study of gene function in metabolically active tissues like adipose tissue, skeletal muscle and liver is a promising strategy. Microarray is a powerful technique of assessment of gene function by measuring transcription of large number of genes in an array. This technique has several potential applications in understanding pathologic adipose tissue. They are: (1) transcriptomic differences between various depots of adipose tissue, adipose tissue from obese versus lean individuals, high insulin resistant versus low insulin resistance, brown versus white adipose tissue, (2) transcriptomic profiles of various stages of adipogenesis, (3) effect of diet, cytokines, adipokines, hormones, environmental toxins and drugs on transcriptomic profiles, (4) influence of adipokines on transcriptomic profiles in skeletal muscle, hepatocyte, adipose tissue etc., and (5) genetics of gene expression. The microarray evidences of molecular basis of obesity and insulin resistance are presented here. Despite the limitations, microarray has potential clinical applications in finding new molecular targets for treatment of insulin resistance and classification of adipose tissue based on future risk of insulin resistance syndrome.
胰岛素抵抗、代谢紊乱与肥胖的聚集归因于病理性脂肪组织。这种病理状态的形态学特征是脂肪细胞肥大和炎症加剧。然而,其潜在的分子机制仍不清楚。研究脂肪组织、骨骼肌和肝脏等代谢活跃组织中的基因功能是一种很有前景的策略。微阵列是一种通过测量阵列中大量基因的转录来评估基因功能的强大技术。该技术在理解病理性脂肪组织方面有几个潜在应用。它们是:(1)不同脂肪组织库、肥胖个体与瘦个体的脂肪组织、高胰岛素抵抗与低胰岛素抵抗、棕色脂肪组织与白色脂肪组织之间的转录组差异;(2)脂肪生成不同阶段的转录组图谱;(3)饮食、细胞因子、脂肪因子、激素、环境毒素和药物对转录组图谱的影响;(4)脂肪因子对骨骼肌、肝细胞、脂肪组织等转录组图谱的影响;(5)基因表达的遗传学。本文展示了肥胖和胰岛素抵抗分子基础的微阵列证据。尽管存在局限性,但微阵列在寻找治疗胰岛素抵抗的新分子靶点以及基于胰岛素抵抗综合征未来风险对脂肪组织进行分类方面具有潜在的临床应用价值。