Khan Md Anik Ashfaq, Faisal Khaledul, Chowdhury Rajashree, Ghosh Prakash, Hossain Faria, Weidmann Manfred, Mondal Dinesh, Abd El Wahed Ahmed
Institute of Animal Hygiene and Veterinary Public Health, University of Leipzig, An den Tierkliniken 1, 04103 Leipzig, Germany.
Nutrition and Clinical Services Division, International Centre for Diarrheal Disease Research, Dhaka 1212, Bangladesh.
Diagnostics (Basel). 2021 Oct 22;11(11):1963. doi: 10.3390/diagnostics11111963.
Quantification of pathogen load, although challenging, is of paramount importance for accurate diagnosis and clinical management of a range of infectious diseases in a point-of-need testing (PONT) scenario such as in resource-limited settings. We formulated a quantification approach to test the standard-curve based absolute quantification ability of isothermal recombinase polymerase amplification (RPA) assay. As a test of principle, a 10-fold dilution series of (LD) genomic DNA prepared in nuclease-free-water (NFW), and from culture-spiked-blood (CSB) were tested, and a 15 min assay was performed. A modified algorithm was formulated to derive the detection outcome. The threshold-record times (Tr) in seconds thus obtained were plotted against the initial load of parasite genomes for log-linear regression analysis. The quantitative RPA (Q-RPA) assay was further evaluated against a LD quantitative (q)-PCR assay with DNA extracted from visceral and post-Kala-azar dermal leishmaniasis case specimens and stratified into different ranges of threshold cycle (Ct). The best-fitted regression models were found linear with mean r/root mean square error (RMSE) values of residual points (in seconds) estimated as 0.996/8.063 and 0.992/7.46 for replicated series of NFW and CSB, respectively. In both series, the lower limit of detection reached less than 0.1 parasite genome equivalent DNA. Absolute agreement between Q-RPA and LD-qPCR was found for test positivity, and strong positive correlations were observed between the Tr and Ct values (r = 0.89; < 0.0001) as well as between the absolute parasite loads (r = 0.87; < 0.0001) quantified by respective assays. The findings in this very first Q-RPA assay for leishmaniasis are suggestive of its potential in monitoring LD load in clinical specimens, and the development of rapid Q-RPA assays for other infectious diseases.
病原体载量的定量尽管具有挑战性,但在即时检测(PONT)场景中,如资源有限的环境中,对于一系列传染病的准确诊断和临床管理至关重要。我们制定了一种定量方法,以测试等温重组酶聚合酶扩增(RPA)检测基于标准曲线的绝对定量能力。作为原理验证,对在无核酸酶水(NFW)中制备的利什曼原虫(LD)基因组DNA的10倍稀释系列以及来自加有培养物的血液(CSB)进行了测试,并进行了15分钟的检测。制定了一种改进的算法来得出检测结果。将由此获得的以秒为单位的阈值记录时间(Tr)与寄生虫基因组的初始载量作图,进行对数线性回归分析。使用从内脏利什曼病和黑热病后皮肤利什曼病病例标本中提取的DNA,针对LD定量(q)-PCR检测进一步评估了定量RPA(Q-RPA)检测,并将其分层到不同的阈值循环(Ct)范围。发现最佳拟合回归模型呈线性,对于NFW和CSB的重复系列,残差点(以秒为单位)的平均r/均方根误差(RMSE)值分别估计为0.996/8.063和0.992/7.46。在两个系列中,检测下限均低于0.1个寄生虫基因组等效DNA。在检测阳性方面,Q-RPA和LD-qPCR之间存在绝对一致性,并且在Tr与Ct值之间(r = 0.89;P < 0.0001)以及通过各自检测定量的绝对寄生虫载量之间(r = 0.87;P < 0.0001)观察到强正相关。在利什曼病的首次Q-RPA检测中的这些发现表明其在监测临床标本中LD载量方面的潜力,以及开发用于其他传染病的快速Q-RPA检测的潜力。