Department of Molecular Reproduction, Development and Genetics, Indian Institute of Science, Bengaluru, India.
Centre for Biosystems Science and Engineering, Indian Institute of Science, Bengaluru, India.
Front Endocrinol (Lausanne). 2022 Jun 29;13:911459. doi: 10.3389/fendo.2022.911459. eCollection 2022.
Receptor Guanylyl Cyclase C (GC-C) was initially characterized as an important regulator of intestinal fluid and ion homeostasis. Recent findings demonstrate that GC-C is also causally linked to intestinal inflammation, dysbiosis, and tumorigenesis. These advances have been fueled in part by identifying mutations or changes in gene expression in GC-C or its ligands, that disrupt the delicate balance of intracellular cGMP levels and are associated with a wide range of clinical phenotypes. In this review, we highlight aspects of the current knowledge of the GC-C signaling pathway in homeostasis and disease, emphasizing recent advances in the field. The review summarizes extra gastrointestinal functions for GC-C signaling, such as appetite control, energy expenditure, visceral nociception, and behavioral processes. Recent research has expanded the homeostatic role of GC-C and implicated it in regulating the ion-microbiome-immune axis, which acts as a mechanistic driver in inflammatory bowel disease. The development of transgenic and knockout mouse models allowed for in-depth studies of GC-C and its relationship to whole-animal physiology. A deeper understanding of the various aspects of GC-C biology and their relationships with pathologies such as inflammatory bowel disease, colorectal cancer, and obesity can be leveraged to devise novel therapeutics.
肠上皮细胞鸟苷酸环化酶 C(GC-C)最初被认为是调节肠道液体和离子稳态的重要调节剂。最近的研究发现,GC-C 还与肠道炎症、菌群失调和肿瘤发生有关。这些进展部分归因于鉴定出 GC-C 或其配体中的突变或基因表达变化,这些变化破坏了细胞内 cGMP 水平的微妙平衡,并与广泛的临床表型相关。在这篇综述中,我们强调了 GC-C 信号通路在稳态和疾病中的当前知识的各个方面,强调了该领域的最新进展。综述总结了 GC-C 信号的胃肠道外功能,如食欲控制、能量消耗、内脏痛觉和行为过程。最近的研究扩展了 GC-C 的稳态作用,并表明它参与调节离子-微生物群-免疫轴,作为炎症性肠病的机械驱动因素。转基因和基因敲除小鼠模型的发展允许对 GC-C 及其与整个动物生理学的关系进行深入研究。深入了解 GC-C 生物学的各个方面及其与炎症性肠病、结直肠癌和肥胖等疾病的关系,可以利用这些知识来设计新的治疗方法。