MINOS-EMaS, Department of Electronics, Electrical and Automatic Engineering , Rovira i Virgili University , Tarragona 43007 , Spain.
Institut Pasteur de Tunis, LR11IPT03, Laboratory of Epidemiology and Veterinary Microbiology (LEMV), University Tunis El Manar , Tunis-Belvédère 1002 , Tunisia.
ACS Sens. 2018 Dec 28;3(12):2532-2540. doi: 10.1021/acssensors.8b00759. Epub 2018 Nov 16.
Human cutaneous leishmaniasis, although designated as one of the most neglected tropical diseases, remains underestimated due to its misdiagnosis. The diagnosis is mainly based on the microscopic detection of amastigote forms, isolation of the parasite, or the detection of Leishmania DNA, in addition to its differential clinical characterization; these tools are not always available in routine daily practice, and they are expensive and time-consuming. Here, we present a simple-to-use, noninvasive approach for human cutaneous leishmaniasis diagnosis, which is based on the analysis of volatile organic compounds in exhaled breath with an array of specifically designed chemical gas sensors. The study was realized on a group of n = 28 volunteers diagnosed with human cutaneous leishmaniasis and a group of n = 32 healthy controls, recruited in various sites from Tunisia, an endemic country of the disease. The classification success rate of human cutaneous leishmaniasis patients achieved by our sensors test was 98.2% accuracy, 96.4% sensitivity, and 100% specificity. Remarkably, one of the sensors, based on CuNPs functionalized with 2-mercaptobenzoxazole, yielded 100% accuracy, 100% sensitivity, and 100% specificity for human cutaneous leishmaniasis discrimination. While AuNPs have been the most extensively used in metal nanoparticle-ligand sensing films for breath sensing, our results demonstrate that chemical sensors based on ligand-capped CuNPs also hold great potential for breath volatile organic compounds detection. Additionally, the chemical analysis of the breath samples with gas chromatography coupled to mass spectrometry identified nine putative breath biomarkers for human cutaneous leishmaniasis.
人皮肤利什曼病虽然被列为最被忽视的热带病之一,但由于误诊,仍然被低估。诊断主要基于对无鞭毛体形式的显微镜检测、寄生虫的分离,或利什曼原虫 DNA 的检测,此外还有其差异临床特征;这些工具在常规日常实践中并不总是可用,而且它们昂贵且耗时。在这里,我们提出了一种简单易用的人皮肤利什曼病诊断方法,该方法基于对呼出呼吸中挥发性有机化合物的分析,使用一组专门设计的化学气体传感器。该研究在一组 n = 28 名被诊断为人皮肤利什曼病的志愿者和一组 n = 32 名来自突尼斯的健康对照者中进行,突尼斯是该病的流行国家,在不同地点招募了这些志愿者。我们的传感器测试对人皮肤利什曼病患者的分类成功率达到了 98.2%的准确率、96.4%的灵敏度和 100%的特异性。值得注意的是,基于 2-巯基苯并恶唑功能化的 CuNPs 的传感器之一,对人皮肤利什曼病的区分产生了 100%的准确率、100%的灵敏度和 100%的特异性。虽然 AuNPs 已被广泛应用于金属纳米粒子-配体传感膜中的呼吸传感,但我们的结果表明,基于配体封端的 CuNPs 的化学传感器也具有很大的潜力用于呼吸挥发性有机化合物的检测。此外,气相色谱-质谱联用仪对呼吸样本的化学分析鉴定了九个人皮肤利什曼病的潜在呼吸生物标志物。