Factors affecting the reliability of behavioral assessments for rodent osteoarthritis models.

Factors affecting the reliability of behavioral assessments for rodent osteoarthritis models.
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DOI:
10.1177/0023677219867715
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发表时间:
2020-08
期刊:
影响因子:
2.4
通讯作者:
Allen KD
Allen KD
中科院分区:
医学4区
文献类型:
--
作者:
Jacobs BY;Allen KD

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骨关节炎(OA)模型的翻译价值经常受到争议,因为大量研究表明,动物模型经常无法预测人类治疗的效果。在一定程度上,这一失败可能是由于缺乏在其指标中包括行为评估的临床前研究。对动物骨性关节炎模型的行为评估可以提供与疾病后遗症相关的疼痛和残疾的有价值的数据,具有重要的临床意义。临床上对骨性关节炎疗法疗效的定义往往集中在它们的缓解作用上。因此,在临床前动物研究中广泛纳入表示疼痛和残疾的行为可能有助于更成功地确定临床相关干预措施。不幸的是,包括行为分析在内的研究仍然经常在分析选择、方案一致性和数据/方法透明度方面遇到陷阱。有针对性地选择行为分析,考虑到临床上的一系列OA表型和个体行为分析的局限性,对于在OA动物模型中适当地确定临床相关的结果是必要的。此外,为了促进研究小组和研究之间的准确比较,有必要提高方法的透明度。最后,对行为数据建立一致和明确的定义将减少研究内部和研究之间的数据交织。这些领域的改进对于临床前动物研究作为翻译相关数据在OA研究中的持续受益至关重要。因此,这篇综述强调了临床前骨性关节炎模型中行为分析的现状。
The translational value of osteoarthritis (OA) models is often debated because numerous studies have shown that animal models frequently fail to predict the efficacy of therapies in humans. In part, this failing may be due to the paucity of preclinical studies that include behavioral assessments in their metrics. Behavioral assessments of animal OA models can provide valuable data on the pain and disability associated with disease—sequelae of significant clinical relevance. Clinical definitions of efficacy for OA therapeutics often center on their palliative effects. Thus, the widespread inclusion of behaviors indicative of pain and disability in preclinical animal studies may contribute to greater success identifying clinically relevant interventions. Unfortunately, studies that include behavioral assays still frequently encounter pitfalls in assay selection, protocol consistency, and data/methods transparency. Targeted selection of behavioral assays, with consideration of the array of clinical OA phenotypes and the limitations of individual behavioral assays, is necessary to identify clinically relevant outcomes in OA animal models appropriately. Furthermore, to facilitate accurate comparisons across research groups and studies, it is necessary to improve the transparency of methods. Finally, establishing agreed-upon and clear definitions of behavioral data will reduce the convolution of data both within and between studies. Improvement in these areas is critical to the continued benefit of preclinical animal studies as translationally relevant data in OA research. As such, this review highlights the current state of behavioral analyses in preclinical OA models.
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