Kidgell Claire, Winzeler Elizabeth A
The Scripps Research Institute, ICND 202, La Jolla, CA 92037, USA.
Future Microbiol. 2006 Aug;1(2):185-99. doi: 10.2217/17460913.1.2.185.
The need to understand the genetic basis of drug resistance in human pathogens has never been greater. The global incidence of drug-resistant organisms, such as those that cause malaria, continues to rise, while the repertoire of effective, inexpensive drugs is declining. Genomic technologies, such as DNA microarrays and full-genome sequencing offer new hope in advancing our understanding of the underlying genetic processes that facilitate a resistance phenotype. Importantly, evidence that drug resistance in many organisms can be a multigene, complex phenomenon implies that unbiased, genome-wide scans of diversity will be required to fully understand the molecular mechanisms of both established and novel resistance traits. While the potential application of full-genome approaches for deciphering mechanisms of drug resistance has yet to be fully realized, this review evaluates drug resistance in human malaria parasites and discusses the exciting role genome-based systems could play in monitoring drug resistance, as well as guiding the implementation of efficient therapeutic strategies for malaria. The approaches reviewed within this article will be applicable to all known or emerging microbial pathogens.
了解人类病原体耐药性的遗传基础的需求从未如此迫切。耐药生物体的全球发病率,比如那些引发疟疾的生物体,持续上升,而有效且廉价药物的种类却在减少。诸如DNA微阵列和全基因组测序等基因组技术为增进我们对促成耐药表型的潜在遗传过程的理解带来了新希望。重要的是,有证据表明许多生物体中的耐药性可能是一种多基因的复杂现象,这意味着需要进行无偏差的全基因组多样性扫描,才能全面了解已有的和新出现的耐药性状的分子机制。虽然全基因组方法在破译耐药机制方面的潜在应用尚未完全实现,但本综述评估了人类疟原虫中的耐药性,并讨论了基于基因组的系统在监测耐药性以及指导疟疾高效治疗策略实施方面可能发挥的令人兴奋的作用。本文所综述的方法将适用于所有已知的或新出现的微生物病原体。