Recent trends in molecular diagnostics of yeast infections: from PCR to NGS.

Recent trends in molecular diagnostics of yeast infections: from PCR to NGS.
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DOI:
10.1093/femsre/fuz015
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发表时间:
2019-09-01
影响因子:
11.3
通讯作者:
Gabaldón T
Gabaldón T
中科院分区:
生物学1区
文献类型:
--
作者:
Consortium OPATHY;Gabaldón T

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近年来,人类机会性酵母菌感染的发病率一直在增加。这些感染很难治疗和诊断,部分原因是可能导致感染的物种数量众多且多样性广泛。此外,感染菌株对一种或几种抗真菌药物的耐药性越来越多地被报道,严重限制了治疗选择,并表明需要快速检测感染因子及其药物敏感性。目前用于物种和抗性鉴定的方法缺乏令人满意的灵敏度和特异性,并且通常需要预先培养感染因子,这延迟了诊断。最近开发的高通量技术,如下一代测序或蛋白质组学,为更灵敏、准确和快速地诊断酵母病原体开辟了全新的途径。这些方法是深入研究的重点,但转化为临床需要克服重大挑战。在这篇综述中,我们提供了一个概述现有的和最近出现的方法,可用于酵母菌病原体及其耐药性的鉴定。在整个文本中,我们强调了每种方法的优点和缺点,并讨论了他们从板凳到床边的道路上最有前途的发展。作者讨论了高通量(组学)技术在酵母菌感染诊断中的应用现状。
The incidence of opportunistic yeast infections in humans has been increasing over recent years. These infections are difficult to treat and diagnose, in part due to the large number and broad diversity of species that can underlie the infection. In addition, resistance to one or several antifungal drugs in infecting strains is increasingly being reported, severely limiting therapeutic options and showcasing the need for rapid detection of the infecting agent and its drug susceptibility profile. Current methods for species and resistance identification lack satisfactory sensitivity and specificity, and often require prior culturing of the infecting agent, which delays diagnosis. Recently developed high-throughput technologies such as next generation sequencing or proteomics are opening completely new avenues for more sensitive, accurate and fast diagnosis of yeast pathogens. These approaches are the focus of intensive research, but translation into the clinics requires overcoming important challenges. In this review, we provide an overview of existing and recently emerged approaches that can be used in the identification of yeast pathogens and their drug resistance profiles. Throughout the text we highlight the advantages and disadvantages of each methodology and discuss the most promising developments in their path from bench to bedside. The authors discuss the current status of the use of high-throughput (-omics) technologies on the diagnostics of yeast infections.
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