Fast and Accurate Pneumocystis Pneumonia Diagnosis in Human Samples Using a Label-Free Plasmonic Biosensor

被引:14
作者
Calvo-Lozano, Olalla [1 ]
Avino, Anna [2 ]
Friaza, Vicente [3 ,4 ]
Medina-Escuela, Alfonso [5 ]
Huertas, Cesar S. [1 ,6 ]
Calderon, Enrique J. [3 ,4 ,7 ]
Eritja, Ramon [2 ]
Lechuga, Laura M. [1 ]
机构
[1] CSIC, CIBER Bioengn Biomat & Nanomed & BIST, Catalan Inst Nanosci & Nanotechnol ICN2, Nanobiosensors & Bioanalyt Applicat Grp Nano, Campus UAB Bellaterra, Barcelona 08193, Spain
[2] CSIC, Inst Adv Chem Catalonia IQAC, CIBER Bioengn Biomat & Nanomed, C Jordi Girona 18-26, Barcelona 08034, Spain
[3] Univ Seville, CSIC, Univ Hosp Virgen del Rocio, Inst Biomed Seville IBiS, Seville 41013, Spain
[4] CIBER Epidemiol & Publ Hlth, Seville 41013, Spain
[5] Univ Las Palmas Gran Canaria, Inst Appl Microelect IUMA, Las Palmas Gran Canaria 35017, Spain
[6] RMIT Univ, Integrated Photon & Applicat Ctr, Sch Engn, Melbourne, Vic 3001, Australia
[7] Univ Seville, Dept Med, Seville 41013, Spain
关键词
Pneumocystis jirovecii; surface plasmon resonance; optical biosensor; clinical diagnosis; triplex; DNA capture; DNA; JIROVECII; MANAGEMENT;
D O I
10.3390/nano10061246
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Pneumocystis jiroveciiis 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 toP. jiroveciidetection. 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 ofP. jiroveciiin 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.
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页数:18
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