Ratajczak Piotr, Martyński Jakub, Zięba Jan Kazimierz, Świło Katarzyna, Kopciuch Dorota, Paczkowska Anna, Zaprutko Tomasz, Kus Krzysztof
Department of Pharmacoeconomics and Social Pharmacy, Poznan University of Medical Sciences, Rokietnicka 3, 60-806 Poznan, Poland.
Institute of Human Genetics, Polish Academy of Sciences, Strzeszyńska 32, 60-479 Poznan, Poland.
Pharmaceutics. 2024 Aug 29;16(9):1144. doi: 10.3390/pharmaceutics16091144.
Animal models are critical tools in the study of psychiatric disorders; however, none of the current models fully reflect human stress-related disorders, even though most of the knowledge about the mechanisms of depression comes from animal studies. Animal studies are useful in pharmacological research, whereby we can obtain results that translate into patient treatment by controlling environmental factors, especially in behavioural research. The authors systematically reviewed this issue since medical databases provide access to many primary studies.
A systematic review and meta-analysis were conducted based on 25 primary studies. The studies were identified in databases such as PubMed, Embase, and Web of Science (December 2022) according to the inclusion and exclusion criteria established at the beginning of the research and published in the form of a protocol, following the PRISMA and Cochrane Collaboration methodology for secondary studies and CAMARADES (CAMARADES Berlin, QUEST-BIH Charité) for secondary studies on animals. Forest plot analyses were performed (data presented as Mean Difference, Random Model, Inverse Variance), Risk of Bias assessment (Systematic Review Center for Laboratory animal Experimentation (SYRCLE) evaluation), quality assessment of included studies (Animal research: Reporting of In Vivo Experiments (ARRIVE)), and a range of data from source publications were compiled in tabular form. The study analysed the popularity of both animal depression models (ADM) and rat strains used in pharmacological research to test the efficacy of antidepressant drugs based on the immobility time (IT) factor (Forced Swimming Test). The study examined selective serotonin reuptake inhibitors, namely fluoxetine, sertraline, paroxetine, citalopram, and escitalopram. Additionally, the study addressed issues concerning the "data availability statement" because precise IT data analysis was impossible in the case of 212 papers.
Our data confirm that the Chronic Unpredictable Mild Stress (CUMS) model is the most popular and versatile model used in preclinical depression research, while the two most popular rat strains were Wistar and Sprague-Dawley. The quality of included papers based on the ARRIVE assessment showed a ratio value equal to 0.63, meaning that studies were of intermediate overall quality. The Risk of Bias assessment based on the SYRCLE tool revealed a high risk related to the blinding and the random outcome assessment. In the meta-analysis, the results indicate that all analysed drugs demonstrated efficacy in reducing IT, and the most analysed drug was fluoxetine (confirmed based on 17 studies (19 models)). The analysis of the efficacy of ADMs showed that the most effective models were CUMS, Flinders Sensitive Line (genetic model), Social Isolation, Restraint Stress, and Low-dose Lipopolysaccharide (pharmacological model). Only 2.35% (5 out of 212) of corresponding authors responded to our data request.
The study highlights the dominance of the CUMS model and the Wistar and Sprague-Dawley rat strains in preclinical depression research, affirming the efficacy of SSRIs, particularly fluoxetine, in reducing IT. The findings underscore the need for better data availability and methodological improvements despite intermediate overall study quality and notable bias risks. Enhanced transparency and rigorous assessment standards are essential for advancing the reliability of animal models in depression research.
动物模型是精神疾病研究中的关键工具;然而,尽管目前关于抑郁症机制的大部分知识都来自动物研究,但现有的模型都不能完全反映人类与压力相关的疾病。动物研究在药理学研究中很有用,通过控制环境因素,我们可以获得能转化为患者治疗的结果,尤其是在行为研究中。由于医学数据库能提供许多原始研究,作者对这个问题进行了系统综述。
基于25项原始研究进行了系统综述和荟萃分析。根据研究开始时确定的纳入和排除标准,在PubMed、Embase和Web of Science等数据库(2022年12月)中识别这些研究,并按照PRISMA和Cochrane协作组针对二次研究的方法以及CAMARADES(柏林CAMARADES,QUEST - BIH夏里特)针对动物二次研究的方法,以方案形式发表。进行了森林图分析(数据以均值差异、随机模型、逆方差表示)、偏倚风险评估(实验动物实验系统综述中心(SYRCLE)评估)、纳入研究的质量评估(动物研究:体内实验报告(ARRIVE)),并以表格形式整理了来自原始出版物的一系列数据。该研究基于不动时间(IT)因素(强迫游泳试验)分析了动物抑郁模型(ADM)和用于测试抗抑郁药物疗效的药理学研究中使用的大鼠品系的受欢迎程度。该研究考察了选择性5-羟色胺再摄取抑制剂,即氟西汀、舍曲林、帕罗西汀、西酞普兰和艾司西酞普兰。此外,该研究还涉及了“数据可用性声明”的问题,因为在212篇论文中无法进行精确的IT数据分析。
我们的数据证实,慢性不可预测轻度应激(CUMS)模型是临床前抑郁症研究中最常用且用途广泛的模型,而最常用的两种大鼠品系是Wistar和Sprague - Dawley。基于ARRIVE评估的纳入论文质量显示比值为0.63,这意味着研究的整体质量处于中等水平。基于SYRCLE工具的偏倚风险评估显示与盲法和随机结果评估相关的高风险。在荟萃分析中,结果表明所有分析的药物在降低IT方面都显示出疗效,分析最多的药物是氟西汀(基于17项研究(19个模型)得到证实)。对ADM疗效的分析表明,最有效的模型是CUMS、弗林德斯敏感品系(遗传模型)、社会隔离、束缚应激和低剂量脂多糖(药理学模型)。只有2.35%(212篇中的5篇)的通讯作者回复了我们的数据请求。
该研究突出了CUMS模型以及Wistar和Sprague - Dawley大鼠品系在临床前抑郁症研究中的主导地位,肯定了SSRI类药物,尤其是氟西汀,在降低IT方面的疗效。研究结果强调,尽管整体研究质量中等且存在明显的偏倚风险,但仍需要更好的数据可用性和方法学改进。提高透明度和严格的评估标准对于提高抑郁症研究中动物模型的可靠性至关重要。