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将代谢组学整合到抗蠕虫药耐药性的诊断和研究中。

Integrating metabolomics into the diagnosis and investigation of anthelmintic resistance.

作者信息

Shaver Amanda O, Andersen Erik C

机构信息

Department of Biology, Johns Hopkins University, Baltimore, MD, USA.

Department of Biology, Johns Hopkins University, Baltimore, MD, USA.

出版信息

Trends Parasitol. 2024 Dec;40(12):1097-1106. doi: 10.1016/j.pt.2024.10.020. Epub 2024 Nov 20.

Abstract

Anthelmintic resistance (AR) in parasitic nematodes poses a global health problem in livestock and domestic animals and is an emerging problem in humans. Consequently, we must understand the mechanisms of AR, including target-site resistance (TSR), in which mutations affect drug binding, and non-target site resistance (NTSR), which involves alterations in drug metabolism and detoxification processes. Because much of the focus has been on TSR, NTSR has received less attention. Here, we describe how metabolomics approaches using Caenorhabditis elegans offer the ability to disentangle nematode drug metabolism, identify metabolic changes associated with resistance, uncover novel biomarkers, and enhance diagnostic methods.

摘要

寄生线虫的抗蠕虫药耐药性(AR)给家畜和宠物带来了全球性的健康问题,并且在人类中也逐渐成为一个问题。因此,我们必须了解AR的机制,包括靶点耐药性(TSR),即突变影响药物结合,以及非靶点耐药性(NTSR),这涉及药物代谢和解毒过程的改变。由于大部分研究都集中在TSR上,NTSR受到的关注较少。在这里,我们描述了利用秀丽隐杆线虫的代谢组学方法如何能够解析线虫的药物代谢,识别与耐药性相关的代谢变化,发现新的生物标志物,并改进诊断方法。

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