神经周围网在新陈代谢中的作用

IF 4.2 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM American journal of physiology. Endocrinology and metabolism Pub Date : 2024-10-01 Epub Date: 2024-08-14 DOI:10.1152/ajpendo.00154.2024
Nan Zhang, Beite Song, Peng Bai, Li Du, Lulu Chen, Yong Xu, Tianshu Zeng
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引用次数: 0

摘要

神经元周围网(PNN)是包裹神经元的特化细胞外基质结构,最近被认为是调节新陈代谢的关键角色。这篇综述探讨了有关神经元周围网及其在新陈代谢调控中作用的不断增长的知识,并从最新研究和相关研究中汲取了深刻的见解。综述探讨了 PNN 在能量平衡和全身血糖中的关键作用。综述还重点介绍了一些新发现,包括星形胶质细胞、小胶质细胞、性激素和性腺激素、营养调节、昼夜节律和年龄对 PNNs 动态的影响。这些发现阐明了 PNNs 在代谢健康中的复杂和多方面作用。
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Perineuronal nets' role in metabolism.

Perineuronal nets (PNNs), specialized extracellular matrix (ECM) structures that envelop neurons, have recently been recognized as key players in the regulation of metabolism. This review explores the growing body of knowledge concerning PNNs and their role in metabolic control, drawing insights from recent research and relevant studies. The pivotal role of PNNs in the context of energy balance and whole body blood glucose is examined. This review also highlights novel findings, including the effects of astroglia, microglia, sex and gonadal hormones, nutritional regulation, circadian rhythms, and age on PNNs dynamics. These findings illuminate the complex and multifaceted role of PNNs in metabolic health.

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来源期刊
CiteScore
9.80
自引率
0.00%
发文量
98
审稿时长
1 months
期刊介绍: The American Journal of Physiology-Endocrinology and Metabolism publishes original, mechanistic studies on the physiology of endocrine and metabolic systems. Physiological, cellular, and molecular studies in whole animals or humans will be considered. Specific themes include, but are not limited to, mechanisms of hormone and growth factor action; hormonal and nutritional regulation of metabolism, inflammation, microbiome and energy balance; integrative organ cross talk; paracrine and autocrine control of endocrine cells; function and activation of hormone receptors; endocrine or metabolic control of channels, transporters, and membrane function; temporal analysis of hormone secretion and metabolism; and mathematical/kinetic modeling of metabolism. Novel molecular, immunological, or biophysical studies of hormone action are also welcome.
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