Matson David J, Broom Daniel C, Cortright Daniel N
Amgen Inc, Cambridge, MA, USA.
Methods Mol Biol. 2010;617:67-78. doi: 10.1007/978-1-60327-323-7_6.
Creating a robust and unbiased assay for the study of current and novel analgesics has been a daunting task. Traditional rodent models of pain and inflammation typically rely on a negative reaction to various forms of evoked stimuli to elicit a pain response and are subject to rater interpretation. Recently, models such as weight bearing and gait analysis have been developed to address these drawbacks while detecting a drug's analgesic properties. We have recently developed the Reduction of Spontaneous Activity by Adjuvant (RSAA) model as a quick, unbiased method for the testing of potential analgesics. Rats, following prior administration of an activity-decreasing inflammatory insult, will positively increase spontaneous locomotor exploration when given single doses of known analgesics. The RSAA model capitalizes on a rat's spontaneous exploratory behavior in a novel environment with the aid of computer tracking software to quantify movement and eliminate rater bias.
创建一种用于研究现有和新型镇痛药的强大且无偏差的检测方法一直是一项艰巨的任务。传统的啮齿动物疼痛和炎症模型通常依赖于对各种形式诱发刺激的负面反应来引发疼痛反应,并且容易受到评分者的主观解读影响。最近,诸如负重和步态分析等模型已经被开发出来,以解决这些缺点,同时检测药物的镇痛特性。我们最近开发了佐剂诱导自发活动减少(RSAA)模型,作为一种快速、无偏差的潜在镇痛药测试方法。在预先给予降低活动的炎性刺激后,当给予单剂量已知镇痛药时,大鼠的自发运动探索将显著增加。RSAA模型借助计算机跟踪软件,利用大鼠在新环境中的自发探索行为来量化运动并消除评分者偏差。