A Non-invasive Method of Cerebrospinal fluid collection from rats for assessing the Cerebrospinal fluid drug content

Author:

M. Atulya.1,Alex Angel2,Mathew. A Jesil2

Affiliation:

1. CCS National Institute of Animal Health, Baghpat, Uttar Pradesh, India 250609.

2. Department of Pharmaceutical Biotechnology, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Udupi, Karnataka. India 576104.

Abstract

The drug discovery and pharmacokinetic studies of drugs of the central nervous system depend on the successful collection of cerebrospinal fluid from lab animal models. Many a time, the treatment regime and management of diseases depends on the penetration and distribution of medicaments across the blood-brain barrier and for which a non-contaminated cerebrospinal fluid sample is essential. The present study was to simplify the cerebrospinal fluid collection from cisterna magna of rat, maximizing the quantity and minimizing the contamination. The rat is anaesthetized with Xylazine Ketamine combination intravenously and was kept on an inverted polypropylene tray with its head down at 45° angle. A depressible surface which look like a rhomb between occipital protuberances and the spine of the atlas becomes noticeable. A butterfly needle attached to a syringe was introduced into the cisterna magna, and cerebrospinal fluid is aspirated. The method is non-invasive and doesn’t require any sophisticated equipment and lessens the chance of contamination of the sample with blood. The technique is also less time consuming and easy to perform.

Publisher

A and V Publications

Subject

Pharmacology (medical),Pharmacology, Toxicology and Pharmaceutics (miscellaneous)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3