Calvo-Lozano Olalla, Aviñó Anna, Friaza Vicente, Medina-Escuela Alfonso, S Huertas César, Calderón Enrique J, Eritja Ramón, Lechuga Laura M
Nanobiosensors and Bioanalytical Applications Group (NanoB2A), Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC, CIBER in Bioengineering, Biomaterials and Nanomedicine and BIST, Campus UAB Bellaterra, 08193 Barcelona, Spain.
Institute for Advanced Chemistry of Catalonia (IQAC), CSIC, CIBER in Bioengineering, Biomaterials and Nanomedicine c/Jordi Girona 18-26, 08034 Barcelona, Spain.
Nanomaterials (Basel). 2020 Jun 26;10(6):1246. doi: 10.3390/nano10061246.
is a fungus responsible for human Pneumocystis pneumonia, one of the most severe infections encountered in immunodepressed individuals. The diagnosis of Pneumocystis pneumonia continues to be challenging due to the absence of specific symptoms in infected patients. Moreover, the standard diagnostic method employed for its diagnosis involves mainly PCR-based techniques, which besides being highly specific and sensitive, require specialized personnel and equipment and are time-consuming. Our aim is to demonstrate an optical biosensor methodology based on surface plasmon resonance to perform such diagnostics in an efficient and decentralized scheme. The biosensor methodology employs poly-purine reverse-Hoogsteen hairpin probes for the detection of the mitochondrial large subunit ribosomal RNA (mtLSU rRNA) gene, related to detection. The biosensor device performs a real-time and label-free identification of the mtLSU rRNA gene with excellent selectivity and reproducibility, achieving limits of detection of around 2.11 nM. A preliminary evaluation of clinical samples showed rapid, label-free and specific identification of in human lung fluids such as bronchoalveolar lavages or nasopharyngeal aspirates. These results offer a door for the future deployment of a sensitive diagnostic tool for fast, direct and selective detection of Pneumocystis pneumonia disease.
是一种导致人类肺孢子菌肺炎的真菌，这是免疫抑制个体中遇到的最严重感染之一。由于感染患者缺乏特定症状，肺孢子菌肺炎的诊断仍然具有挑战性。此外，用于其诊断的标准诊断方法主要涉及基于PCR的技术，这些技术除了具有高度特异性和敏感性外，还需要专业人员和设备，并且耗时。我们的目标是展示一种基于表面等离子体共振的光学生物传感器方法，以高效、分散的方案进行此类诊断。该生物传感器方法采用多嘌呤反向-霍格施泰因发夹探针检测与检测相关的线粒体大亚基核糖体RNA（mtLSU rRNA）基因。该生物传感器设备对mtLSU rRNA基因进行实时、无标记识别，具有出色的选择性和重现性，检测限约为2.11 nM。对临床样本的初步评估显示，在支气管肺泡灌洗或鼻咽抽吸物等人肺液中能够快速、无标记且特异性地识别。这些结果为未来部署一种用于快速、直接和选择性检测肺孢子菌肺炎疾病的灵敏诊断工具打开了一扇门。
