查加斯病的寄生虫学和临床治疗失败的基于系统的见解。

IF 5 2区 生物学 Q1 MICROBIOLOGY mSystems Pub Date : 2025-01-07 DOI:10.1128/msystems.00038-24
Luis Ernst, Giovana C Macedo, Laura-Isobel McCall
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引用次数: 0

摘要

传染病治疗的成功需要症状的解决(临床治疗的成功),这通常但并不总是包括病原体的清除。这两种治疗目标都面临特定疾病和一般疾病的挑战。在这篇综述中,我们总结了目前关于恰加斯病的临床和寄生虫治疗失败机制的知识现状,恰加斯病是一种被忽视的引起心脏和胃肠道症状的热带疾病。寄生虫的耐药性和持久性、药物药代动力学和动力学以及宿主免疫反应的持续改变和组织损伤是导致恰加斯病治疗失败的最常见原因。我们讨论了在监管机构批准之前失败的治疗方法,当前治疗选择的局限性以及克服持久性寄生虫,炎症反应和代谢改变的新治疗策略。大规模组学分析对于产生这些见解至关重要,并将继续在解决南美锥虫病药物治疗仍然面临的挑战方面发挥突出作用。
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System-based insights into parasitological and clinical treatment failure in Chagas disease.

Infectious disease treatment success requires symptom resolution (clinical treatment success), which often but not always involves pathogen clearance. Both of these treatment goals face disease-specific and general challenges. In this review, we summarize the current state of knowledge in mechanisms of clinical and parasitological treatment failure in the context of Chagas disease, a neglected tropical disease causing cardiac and gastrointestinal symptoms. Parasite drug resistance and persistence, drug pharmacokinetics and dynamics, as well as persistently altered host immune responses and tissue damage are the most common reasons for Chagas disease treatment failure. We discuss the therapeutics that failed before regulatory approval, limitations of current therapeutic options and new treatment strategies to overcome persistent parasites, inflammatory responses, and metabolic alterations. Large-scale omics analyses were critical in generating these insights and will continue to play a prominent role in addressing the challenges still facing Chagas disease drug treatment.

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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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