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代谢综合征发病机制中的脂肪组织改变和脂肪细胞功能障碍。

Altered adipose tissue and adipocyte function in the pathogenesis of metabolic syndrome.

机构信息

Section on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA.

Department of Biomedical Sciences, Heritage College of Osteopathic Medicine, and.

出版信息

J Clin Invest. 2019 Oct 1;129(10):3990-4000. doi: 10.1172/JCI129187.

Abstract

Over the past decade, great progress has been made in understanding the complexity of adipose tissue biology and its role in metabolism. This includes new insights into the multiple layers of adipose tissue heterogeneity, not only differences between white and brown adipocytes, but also differences in white adipose tissue at the depot level and even heterogeneity of white adipocytes within a single depot. These inter- and intra-depot differences in adipocytes are developmentally programmed and contribute to the wide range of effects observed in disorders with fat excess (overweight/obesity) or fat loss (lipodystrophy). Recent studies also highlight the underappreciated dynamic nature of adipose tissue, including potential to undergo rapid turnover and dedifferentiation and as a source of stem cells. Finally, we explore the rapidly expanding field of adipose tissue as an endocrine organ, and how adipose tissue communicates with other tissues to regulate systemic metabolism both centrally and peripherally through secretion of adipocyte-derived peptide hormones, inflammatory mediators, signaling lipids, and miRNAs packaged in exosomes. Together these attributes and complexities create a robust, multidimensional signaling network that is central to metabolic homeostasis.

摘要

在过去的十年中,人们在理解脂肪组织生物学的复杂性及其在代谢中的作用方面取得了巨大进展。这包括对脂肪组织异质性的多层次有了新的认识,不仅是白色和棕色脂肪细胞之间的差异,还有脂肪组织库水平的白色脂肪组织差异,甚至是单个脂肪库内的白色脂肪细胞的异质性。这些脂肪细胞的细胞间和细胞内差异是发育编程的,并导致在脂肪过多(超重/肥胖)或脂肪丧失(脂肪营养不良)的疾病中观察到的广泛影响。最近的研究还强调了脂肪组织被低估的动态性质,包括快速更新和去分化的潜力,以及作为干细胞的来源。最后,我们探讨了脂肪组织作为内分泌器官的快速扩展领域,以及脂肪组织如何通过分泌脂肪细胞衍生的肽激素、炎症介质、信号脂质和包裹在外泌体中的 miRNAs,与其他组织进行交流,从而在中枢和外周调节全身代谢。这些特性和复杂性共同构成了一个强大的、多维的信号网络,是代谢稳态的核心。

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