Diagnostic accuracy of plasma cell-free DNA qPCR for Schistosoma haematobium assessed by Bayesian latent class analysis in a cohort of pregnant women from Lambaréné, Gabon.

IF 5.5 1区 医学
Youssef Hamway, Theresa Josten, Sherif Abdellatif, Piyas Mukherjee, Julia Schluckebier, Sèyigbéna P Déo-Gracias Berry, Yabo Josiane Honkpèhedji, Moustapha Nzamba Maloum, Romeo Laclong Lontchi, Paul A Nguema Moure, Brice Meulah, Pytsje T Hoekstra, Inge Kroidl, Govert J van Dam, Andrea Kreidenweiss, Meral Esen, Ayôla Akim Adégnika, Clarissa Prazeres da Costa
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引用次数: 0

Abstract

Background: Effective diagnosis of Schistosoma haematobium is critical for disease management. However, current tools often lack sensitivity for low-intensity infections, a challenge noted in the recent WHO Roadmap for Neglected Tropical Diseases. This study aimed to evaluate a novel cell-free DNA (cfDNA) quantitative Polymerase Chain Reaction (qPCR) assay, utilizing 20 µl of plasma with crude DNA extraction. This approach intends to improve diagnostic accuracy and lower implementation barriers for molecular tests in field settings. We compared its performance against urine filtration microscopy and the Up-converting Reporter Particle Lateral Flow Circulating Anodic Antigen (UCP-LF CAA) test in pregnant women from Lambaréné, Gabon.

Methods: A prospective cross-sectional study was conducted on 296 pregnant women in Gabon. EDTA blood, urine, and stool samples were collected from December 2018 to November 2020. Urine samples were analyzed by urine filtration microscopy and UCP-LF CAA. The cfDNA qPCR assay was performed retrospectively on 20 µl of frozen plasma using a simplified DNA extraction method. Diagnostic accuracy was assessed via sensitivity, specificity, and agreement measures. Bayesian latent class analysis (BLCA) was used to estimate test performance in the absence of a gold standard.

Results: Diagnostic positivity varied: 24.3% by cfDNA qPCR, 18.6% by urine filtration microscopy, and 20.9% by UCP-LF CAA. Agreement between tests was limited. BLCA indicated qPCR to be the most sensitive (74.0%, 95% CrI: 57.2-90.8), followed by UCP-LF CAA (65.7%, 95% CrI: 49.0-82.8). Microscopy was the most specific (94.9%, 95% CrI : 89.6-99.3). Estimated prevalence ranged between 22.5 and 27.1%. Receiver operating characteristic (ROC) analysis confirmed good individual performance (AUC 0.837-0.868), with performance improving when combining any two tests (AUC up to 0.931).

Conclusions: This study validates the high sensitivity of a novel cfDNA qPCR approach using only 20 µl of plasma, demonstrating performance comparable to microscopy and UCP-LF CAA. While microscopy maintains high specificity, combining it with a high-sensitivity test such as qPCR or UCP-LF CAA provides significant diagnostic improvement. Further optimizing the specificity of this streamlined qPCR assay brings us closer to a highly accurate, feasible point-of-care diagnostic crucial for schistosomiasis control programs in resource-limited settings.

利用贝叶斯潜类分析评估加蓬兰巴尼什纳斯孕妇队列中血血吸虫的无浆细胞DNA qPCR诊断准确性。
背景:有效诊断血血吸虫病对疾病管理至关重要。然而,目前的工具往往缺乏对低强度感染的敏感性,这是世卫组织最近发布的被忽视热带病路线图所指出的一个挑战。本研究旨在评估一种新的无细胞DNA (cfDNA)定量聚合酶链反应(qPCR)检测方法,该方法使用20µl血浆,提取粗DNA。这种方法旨在提高诊断准确性和降低实施障碍分子测试在现场设置。我们比较了其与尿液过滤显微镜和上转换报告粒子侧流循环阳极抗原(UCP-LF CAA)测试的性能,这些测试来自加蓬lambar奈斯纳斯孕妇。方法:对加蓬296名孕妇进行前瞻性横断面研究。2018年12月至2020年11月采集EDTA血液、尿液和粪便样本。尿样采用尿液过滤显微镜和UCP-LF CAA进行分析。采用简化的DNA提取方法对20µl冷冻血浆进行回顾性cfDNA qPCR检测。通过敏感性、特异性和一致性测量来评估诊断的准确性。在没有金标准的情况下,使用贝叶斯潜类分析(BLCA)来估计测试性能。结果:cfDNA qPCR阳性率为24.3%,尿滤镜检阳性率为18.6%,UCP-LF CAA阳性率为20.9%。试验之间的一致意见有限。BLCA显示qPCR最敏感(74.0%,95% CrI: 57.2 ~ 90.8),其次是UCP-LF CAA (65.7%, 95% CrI: 49.0 ~ 82.8)。显微镜下特异性最高(94.9%,95% CrI: 89.6-99.3)。估计患病率在22.5%至27.1%之间。受试者工作特征(ROC)分析证实个体表现良好(AUC 0.837 ~ 0.868),任意两项检验合并后表现均有所改善(AUC高达0.931)。结论:本研究验证了一种新型cfDNA qPCR方法的高灵敏度,仅使用20 μ l血浆,其性能与显微镜和UCP-LF CAA相当。虽然显微镜保持了高特异性,但将其与高灵敏度测试(如qPCR或UCP-LF CAA)结合使用可显著提高诊断水平。进一步优化这种简化的qPCR检测的特异性,使我们更接近一种高度准确、可行的即时诊断方法,这对资源有限地区的血吸虫病控制规划至关重要。
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来源期刊
Infectious Diseases of Poverty
Infectious Diseases of Poverty INFECTIOUS DISEASES-
自引率
1.20%
发文量
368
期刊介绍: Infectious Diseases of Poverty is an open access, peer-reviewed journal that focuses on addressing essential public health questions related to infectious diseases of poverty. The journal covers a wide range of topics including the biology of pathogens and vectors, diagnosis and detection, treatment and case management, epidemiology and modeling, zoonotic hosts and animal reservoirs, control strategies and implementation, new technologies and application. It also considers the transdisciplinary or multisectoral effects on health systems, ecohealth, environmental management, and innovative technology. The journal aims to identify and assess research and information gaps that hinder progress towards new interventions for public health problems in the developing world. Additionally, it provides a platform for discussing these issues to advance research and evidence building for improved public health interventions in poor settings.
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