期刊
NEURAL REGENERATION RESEARCH
卷 17, 期 12, 页码 2643-2648出版社
WOLTERS KLUWER MEDKNOW PUBLICATIONS
DOI: 10.4103/1673-5374.336135
关键词
agonists; antagonists; growth hormone-releasing hormone receptor; macrophages; neuroprotection; ocular inflammation; optic nerve injury; retinal ganglion cells; uveitis
资金
- National Natural Science Foundation of China [81570849]
- Joint Regional Basic Science and Applied Basic Science Research Fund of Guangdong Province [2019A1515110685]
- Special Fund for Chinese Medicine Development of Guangdong Province [20202089]
- Natural Science Foundation of Guangdong Province [2020A1515010415]
- Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong
- Chinese University of Hong Kong [2020.067]
- Grant for Key Disciplinary Project of Clinical Medicine under the Guangdong High-level University Development Program, China
Both agonists and antagonists of the growth hormone-releasing hormone receptor have been found to alleviate death of ocular neural cells in experimental models, showing potent anti-inflammatory properties and protection against inflammatory responses induced by extrinsic agents or neurologic injuries in ocular animal models.
Both inflammation and anti-inflammation are involved in the protection of retinal cells. Antagonists of the hypothalamic growth hormone-releasing hormone receptor (GHRHR) have been shown to possess potent anti-inflammatory properties in experimental disease models of various organs, some with systemic complications. Such effects are also found in ocular inflammatory and neurologic injury studies. In experimental models of mice and rats, both growth hormone-releasing hormone receptor agonists and antagonists may alleviate death of ocular neural cells under certain experimental conditions. This review explores the properties of growth hormone-releasing hormone receptor agonists and antagonists that lead to its protection against inflammatory responses induced by extrinsic agents or neurologic injures in ocular animal models.
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