利用硅学方法设计针对耐药性恶性疟原虫的 CRISPR-Cas12 和 LAMP 混合检测系统

Narra J Pub Date : 2023-12-25 DOI:10.52225/narra.v3i3.301
A. A. Parikesit, Rio Hermantara, Gregorius Kevin, Elizabeth Sidhartha
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引用次数: 0

摘要

目前已发现与恶性疟原虫一线药物耐药性相关的基因,其中最常见的三个耐药基因是恶性疟原虫氯喹耐药转运体基因(PfCRT)、恶性疟原虫多药耐药基因1(PfMDR1)和恶性疟原虫凯尔奇蛋白K13基因(PfKelch13)。这些基因的多态性可作为鉴定耐药菌株的分子标记。核酸扩增试验(NAAT)和 DNA 测序是一种强大的诊断工具,可以识别这些多态性。然而,目前的核酸扩增试验和 DNA 测序技术需要特定的仪器,这可能会限制其在农村地区的应用。最近,等温扩增与 CRISPR 检测系统的结合在核酸水平上检测突变方面取得了可喜的成果。此外,环路介导等温扩增(LAMP)-CRISPR 系统具有强大和直接的检测功能,可在农村和偏远地区使用。本研究旨在开发一种新型诊断方法,该方法基于目标基因的 LAMP,能够识别耐药恶性疟原虫菌株。这些方法主要包括恶性疟原虫基因组序列分析、LAMP 引物设计和 CRISPR 目标预测。我们设计的引物在鉴定 PfCRT、PfMDR1 和 PfKelch13 中与耐药性相关的多态性方面效果令人满意。总之,所开发的系统有望用作恶性疟原虫耐药菌株的检测方法。然而,还需要对所开发的 CRISPR-LAMP 检测方法进行优化和进一步验证,以确保其准确性、可靠性和可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing hybrid CRISPR-Cas12 and LAMP detection systems for treatment-resistant Plasmodium falciparum with in silico method
Genes associated with drug resistance of first line drugs for Plasmodium falciparum have been identified and characterized of which three genes most commonly associated with drug resistance are P. falciparum chloroquine resistance transporter gene (PfCRT), P. falciparum multidrug drug resistance gene 1 (PfMDR1), and P. falciparum Kelch protein K13 gene (PfKelch13). Polymorphism in these genes could be used as molecular markers for identifying drug resistant strains. Nucleic acid amplification test (NAAT) along with DNA sequencing is a powerful diagnostic tool that could identify these polymorphisms. However, current NAAT and DNA sequencing technologies require specific instruments which might limit its application in rural areas. More recently, a combination of isothermal amplification and CRISPR detection system showed promising results in detecting mutations at a nucleic acid level. Moreover, the Loop-mediated isothermal amplification (LAMP)-CRISPR systems offer robust and straightforward detection, enabling it to be deployed in rural and remote areas. The aim of this study was to develop a novel diagnostic method, based on LAMP of targeted genes, that would enable the identification of drug-resistant P. falciparum strains. The methods were centered on sequence analysis of P. falciparum genome, LAMP primers design, and CRISPR target prediction. Our designed primers are satisfactory for identifying polymorphism associated with drug resistant in PfCRT, PfMDR1, and PfKelch13. Overall, the developed system is promising to be used as a detection method for P. falciparum treatment-resistant strains. However, optimization and further validation the developed CRISPR-LAMP assay are needed to ensure its accuracy, reliability, and feasibility
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