Suppr超能文献

用于抗炎药物筛选的特征明确且可预测的兔葡萄膜炎模型。

Characterized and predictable rabbit uveitis model for antiinflammatory drug screening.

作者信息

Jamieson L, Meckoll-Brinck D, Keller N

机构信息

InSite Vision, Tutzing, Federal Republic of Germany.

出版信息

J Pharmacol Methods. 1989 Jul;21(4):329-38. doi: 10.1016/0160-5402(89)90070-3.

Abstract

A model has been developed for the screening of antiinflammatory ophthalmic drugs in rabbits. This simple and rapid method is reproducible and uses fewer animals than do some other methods. Rabbits are sensitized to bovine serum proteins, then challenged intravitreally to induce a uveitis. The basis of the inflammatory response is shown to be due primarily to an immunologic mechanism. At 24 hr postchallenge, animals are sorted into treatment groups of approximately equal "titer" as defined by the slit lamp examination iris score which measures the magnitude of the immunologic response. Topical ocular treatment (control or drug) is then initiated and continued for a total of four days. Iris inflammation is evaluated by daily slit lamp exams. Results indicate that this model has statistically narrower frequency distribution of iris ratings than another published method, and is faster than other equally accurate and precise methods that depend upon blood antibody titer to sort animals.

摘要

已开发出一种用于筛选兔用抗炎眼科药物的模型。这种简单快速的方法具有可重复性,且与其他一些方法相比使用的动物数量更少。使兔对牛血清蛋白致敏,然后玻璃体内激发以诱导葡萄膜炎。炎症反应的基础显示主要是由于免疫机制。在激发后24小时,根据裂隙灯检查虹膜评分(该评分测量免疫反应的程度)将动物分为“滴度”大致相等的治疗组。然后开始局部眼部治疗(对照或药物)并持续总共四天。通过每日裂隙灯检查评估虹膜炎症。结果表明,该模型虹膜评分的频率分布在统计学上比另一种已发表的方法更窄,并且比其他同样准确和精确但依赖于血液抗体滴度来对动物进行分类的方法更快。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验