Suppr超能文献

监测抗疟药耐药性:将从过去吸取的经验教训应用于瞬息万变的当下。

Monitoring antimalarial drug resistance: Applying lessons learned from the past in a fast-moving present.

作者信息

Sibley Carol Hopkins, Price Ric N

机构信息

WorldWide Antimalarial Resistance Network, Box 355065, University of Washington, Seattle, WA 98195 5065, USA.

Global Health Division, Menzies School of Health Research and Charles Darwin University, Darwin, Northern Territory, Australia ; Center for Tropical Medicine, Nuffield Department of Clinical Medicine, University of Oxford, United Kingdom.

出版信息

Int J Parasitol Drugs Drug Resist. 2012 Apr 20;2:126-33. doi: 10.1016/j.ijpddr.2012.03.004. eCollection 2012 Dec.

Abstract

The need for robust surveillance of antimalarial drugs is more urgent than it has ever been. In the western region of Cambodia, artemisinin resistance has emerged in Plasmodium falciparum and threatens to undermine the efficacy of highly effective artemisinin combination therapies. Although some manfestations of artemisinin tolerance are unique to this class of drug, many of its properties mirror previous experience in understanding and tracking resistance to other antimalarials. In this review we outline the spectrum of approaches that were developed to understand the evolution and spread of antifolate resistance, highlighting the importance of integrating information from different methodologies towards a better understanding of the underlying biologic processes. We consider how to apply our experience in investigating and attempting to contain antifolate resistance to inform our prospective assessment of novel antimalarial resistance patterns and their subsequent spread.

摘要

对抗疟药物进行有力监测的需求比以往任何时候都更加迫切。在柬埔寨西部地区,恶性疟原虫已出现对青蒿素的耐药性,这有可能破坏高效青蒿素联合疗法的疗效。尽管青蒿素耐受性的某些表现是这类药物所特有的,但其许多特性反映了以往在理解和追踪对其他抗疟药物耐药性方面的经验。在本综述中,我们概述了为了解抗叶酸耐药性的演变和传播而开发的一系列方法,强调了整合来自不同方法的信息对于更好地理解潜在生物学过程的重要性。我们思考如何运用我们在调查和试图控制抗叶酸耐药性方面的经验,为我们对新型抗疟耐药模式及其后续传播的前瞻性评估提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef24/3862427/43a7b3bc9936/fx1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验