The effectiveness of organic vegetable oils with high biocompatibility in preventing epidural fibrosis: An experimental study

Author:

Akgul Mehmet HuseyinORCID,Akgun Mehmet YigitORCID,Anteplioglu TugceORCID,Kul OguzORCID

Abstract

Background and purpose – Epidural fibrosis after all spinal surgeries is an important surgical issue. Various biological and non-biological materials have been tried to inhibit epidural fibrosis, which is deemed to be the most important cause of pain after spinal surgery. Olive oil, nigella sativa oil and soybean oil employed in oral nutrition in clinics involving liquid fatty acids, palmatic acid, linoleic acid, stearic acid and palmitoleic acid. The effectiveness of olive oil, nigella sativa oil and soybean oil on epidural fibrosis was researched on for the first time in laminectomy model. Methods – Fifty adult male Wistar albino rats weighing between 300 and 400 grams were used in the research. A total of 5 groups were formed: sham (Group I) (n = 10), no application was created; Group II (n = 10) 1 cc saline; Group III (n = 10) 1 cc olive oil; Group IV (n = 10) 1 cc nigella sativa oil; Group V (n = 10); 1 cc soybean oil was applied topically to the epidural region after laminectomy. The total spine of the rats was dissected, histopathological and immunochemical measurements were conducted. Neuro-histopathological results were scored semi-quantitatively in terms of vascular modification, neuron degeneration, gliosis and bleeding criteria. Results – The lowest level of fibrosis and connective tissue proliferation was observed in the group where nigella sativa oil was used after the operation, followed by the group treated with olive oil and lastly with the group given soybean oil. Conclusion – Nigella sativa oil and olive oil are very efficient for lowering the degree of epidural fibrosis and adhesions following laminectomy and can be employed as a simple, inexpensive and highly biocompatible material in clinical practice.

Publisher

Ideggyogyaszati Szemle Journal

Subject

Neurology (clinical),Neurology

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