A good practice guide to the administration of substances and removal of blood, including routes and volumes

欧洲联盟 指令 良好实验室规范 协议(科学) 义务 托换 欧盟委员会 医学 良好制造规范 考试(生物学) 过程(计算) 工程伦理学 公共关系 遗产管理(遗嘱认证法) 业务 政治学 计算机科学 公共行政 替代医学 法学 工程类 监管事务 病理 操作系统 程序设计语言 土木工程 生物 古生物学 外部质量评估 经济政策 质量保证
作者
Karl‐Heinz Diehl,Robin Hull,David B. Morton,Rudolf Pfister,Y. Rabémampianina,David Smith,J Vidal,Cor Van De Vorstenbosch
出处
期刊:Journal of Applied Toxicology [Wiley]
卷期号:21 (1): 15-23 被引量:1534
标识
DOI:10.1002/jat.727
摘要

This article is the result of an initiative between the European Federation of Pharmaceutical Industries Associations (EFPIA) and the European Centre for the Validation of Alternative Methods (ECVAM). Its objectives are to provide the researcher in the safety evaluation laboratory with an up-to-date, easy-to-use set of data sheets to aid in the study design process whilst at the same time affording maximum welfare considerations to the experimental animals. Although this article is targeted at researchers in the European Pharmaceutical Industry, it is considered that the principles underpinning the data sets and refinement proposals are equally applicable to all those who use these techniques on animals in their research, whether in research institutes, universities or other sectors of industry. The implications of this article may lead to discussion with regulators, such as those responsible for pharmacopoeial testing. There are numerous publications dealing with the administration of test substances and the removal of blood samples, and many laboratories also have their own "in-house" guidelines that have been developed by custom and practice over many years. Within European Union Directive 86/609EEC1 we have an obligation to refine experiments to cause the minimum amount of stress. We hope that this article will provide background data useful to those responsible for protocol design and review. This guide is based on peer-reviewed publications whenever possible, but where this is not possible we have used "in-house" data and the experience of those on the working party (as well as helpful comments submitted by the industry) for a final opinion. The guide also addresses the continuing need to refine the techniques associated with the administration of substances and the withdrawal of blood, and suggests ways of doing so. Data-sharing between laboratories should be encouraged to avoid duplication of animal work, as well as sharing practical skills concerning animal welfare and scientific problems caused by "overdosing" in some way or another. The recommendations in this guide refer to the "normal" animal, and special consideration is needed, for instance, during pregnancy and lactation. Interpretation of studies may be confounded when large volumes are administered or excessive sampling employed, particularly if anaesthetics are used.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
研友_VZG7GZ应助刘辉采纳,获得10
刚刚
DR.秋发布了新的文献求助10
刚刚
刚刚
谷云发布了新的文献求助10
1秒前
cdercder应助Cjl10610采纳,获得10
1秒前
情怀应助像风又像云采纳,获得30
3秒前
3秒前
橘落完成签到,获得积分10
3秒前
cat应助像风又像云采纳,获得10
3秒前
核桃应助像风又像云采纳,获得30
3秒前
Nole应助像风又像云采纳,获得10
4秒前
木心宇应助像风又像云采纳,获得10
4秒前
4秒前
华仔应助像风又像云采纳,获得10
4秒前
木心宇应助像风又像云采纳,获得10
4秒前
大气世平发布了新的文献求助10
5秒前
从容聪展发布了新的文献求助10
5秒前
elf发布了新的文献求助10
5秒前
ZICEY发布了新的文献求助10
6秒前
科研通AI6.4应助淏瀚采纳,获得10
7秒前
8秒前
1433223发布了新的文献求助10
9秒前
10秒前
11秒前
科研通AI6.2应助霸气若男采纳,获得10
11秒前
我是老大应助金刚大王采纳,获得10
12秒前
lessormoto发布了新的文献求助10
12秒前
Ava应助Lila_Z采纳,获得10
13秒前
夹心大王发布了新的文献求助30
14秒前
14秒前
绝迹天明完成签到,获得积分10
14秒前
今后应助Martian采纳,获得10
15秒前
StarTrr发布了新的文献求助20
17秒前
zhan发布了新的文献求助10
18秒前
19秒前
绝迹天明发布了新的文献求助10
20秒前
able发布了新的文献求助10
20秒前
23秒前
大狒狒发布了新的文献求助10
24秒前
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7631476
求助须知:如何正确求助?哪些是违规求助? 9205953
关于积分的说明 19743091
捐赠科研通 7200762
什么是DOI,文献DOI怎么找? 3274614
关于科研通互助平台的介绍 2436554
邀请新用户注册赠送积分活动 2271207