Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA.
Present address: Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, USA.
BMC Bioinformatics. 2019 Apr 15;20(1):186. doi: 10.1186/s12859-019-2756-y.
Malaria is a major global health problem, with the Plasmodium falciparum protozoan parasite causing the most severe form of the disease. Prevalence of drug-resistant P. falciparum highlights the need to understand the biology of resistance and to identify novel combination therapies that are effective against resistant parasites. Resistance has compromised the therapeutic use of many antimalarial drugs, including chloroquine, and limited our ability to treat malaria across the world. Fortunately, chloroquine resistance comes at a fitness cost to the parasite; this can be leveraged in developing combination therapies or to reinstate use of chloroquine.
To understand biological changes induced by chloroquine treatment, we compared transcriptomics data from chloroquine-resistant parasites in the presence or absence of the drug. Using both linear models and a genome-scale metabolic network reconstruction of the parasite to interpret the expression data, we identified targetable pathways in resistant parasites. This study identified an increased importance of lipid synthesis, glutathione production/cycling, isoprenoids biosynthesis, and folate metabolism in response to chloroquine.
We identified potential drug targets for chloroquine combination therapies. Significantly, our analysis predicts that the combination of chloroquine and sulfadoxine-pyrimethamine or fosmidomycin may be more effective against chloroquine-resistant parasites than either drug alone; further studies will explore the use of these drugs as chloroquine resistance blockers. Additional metabolic weaknesses were found in glutathione generation and lipid synthesis during chloroquine treatment. These processes could be targeted with novel inhibitors to reduce parasite growth and reduce the burden of malaria infections. Thus, we identified metabolic weaknesses of chloroquine-resistant parasites and propose targeted chloroquine combination therapies.
疟疾是一个全球性的重大卫生问题,由疟原虫原生动物寄生虫引起最严重的疾病形式。抗药性疟原虫的流行突出表明有必要了解耐药性的生物学特性,并确定对耐药寄生虫有效的新的联合疗法。耐药性已经损害了许多抗疟药物的治疗用途,包括氯喹,并限制了我们在全球范围内治疗疟疾的能力。幸运的是,疟原虫对氯喹的耐药性存在适应性成本;这可以在开发联合疗法或恢复氯喹的使用中得到利用。
为了了解氯喹治疗引起的生物学变化,我们比较了有或没有药物存在时氯喹耐药寄生虫的转录组学数据。我们使用线性模型和寄生虫的基因组规模代谢网络重建来解释表达数据,确定了耐药寄生虫中可靶向的途径。这项研究确定了脂质合成、谷胱甘肽产生/循环、异戊二烯生物合成和叶酸代谢在对氯喹的反应中增加的重要性。
我们确定了氯喹联合疗法的潜在药物靶点。重要的是,我们的分析预测,氯喹与磺胺多辛-乙胺嘧啶或福米多司的联合使用可能比单独使用任何一种药物更能有效对抗氯喹耐药寄生虫;进一步的研究将探索这些药物作为氯喹耐药性阻滞剂的使用。在氯喹治疗期间还发现了谷胱甘肽生成和脂质合成过程中的其他代谢弱点。可以使用新型抑制剂来靶向这些过程,以减少寄生虫的生长并降低疟疾感染的负担。因此,我们确定了氯喹耐药寄生虫的代谢弱点,并提出了靶向氯喹联合疗法。