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Chen Q, Yao L, Wu Q, Xu J, Yan C, Guo C, Zhang C, Xu T, Qin P, Chen W. Rapid and simultaneous visual typing of high-risk HPV-16/18 with use of integrated lateral flow strip platform. Mikrochim Acta 2022; 189:350. [PMID: 36008739 PMCID: PMC9409624 DOI: 10.1007/s00604-022-05449-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 07/31/2022] [Indexed: 11/25/2022]
Abstract
A biosensor for rapid and simultaneous visual identification of high-risk human papillomavirus (HPV) genotypes 16 and 18 in clinical samples based on polymerase chain reaction (PCR) integrated lateral flow strip platform was developed. Using an one-step protocol to extract nucleic acid rapidly and the functionalized primer sets specific to HPV-16 and 18 were designed for the simultaneous amplification. In the presence of target HPV genotypes, the corresponding functionalized primer sets will participate in the PCR process and produce numerous duplex functionalized dsDNA amplicons. With the bridge effect of duplex functionalized dsDNA amplicons between gold nanoparticles-fluorescein isothiocyanate antibody conjugates (AuNP-FITC antibody conjugates) and other two antibodies on corresponding test line (T1 or T2), visualized color signals on test lines could be obtained directly visible with a naked eye. Combining the high amplification efficiency of PCR and the visualized sensing of LFS, as low as 700 copies of HPV-16 and 18 DNA were detected simultaneously within 75 min, which can promote application in the resource limited settings. High-risk genotypes of HPV-16 and HPV-18 were easily and simultaneously screened with the amplification-assisted molecular lateral flow strip by on-site observation in the resource-limited settings.
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Affiliation(s)
- Qi Chen
- Engineering Research Center of Bio-Process, MOE; School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, People's Republic of China
| | - Li Yao
- Engineering Research Center of Bio-Process, MOE; School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, People's Republic of China
| | - Qian Wu
- Engineering Research Center of Bio-Process, MOE; School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, People's Republic of China
| | - Jianguo Xu
- Engineering Research Center of Bio-Process, MOE; School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, People's Republic of China
| | - Chao Yan
- Engineering Research Center of Bio-Process, MOE; School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, People's Republic of China
| | - Chuanxiang Guo
- Anhui Deepblue Medical Technology Co. Ltd., Hefei, 230088, People's Republic of China
| | - Chao Zhang
- Anhui Deepblue Medical Technology Co. Ltd., Hefei, 230088, People's Republic of China
| | - Tao Xu
- Anhui Medical University, Hefei, 230009, People's Republic of China
| | - Panzhu Qin
- Engineering Research Center of Bio-Process, MOE; School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, People's Republic of China.
- Anhui Medical University, Hefei, 230009, People's Republic of China.
| | - Wei Chen
- Engineering Research Center of Bio-Process, MOE; School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, People's Republic of China.
- Intelligent Manufacturing Institute, Hefei University of Technology, Hefei, 230009, People's Republic of China.
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Escobar-Escamilla N, González-Martínez BE, Araiza-Rodríguez A, Fragoso-Fonseca DE, Pedroza-Torres A, Landa-Flores MG, Garcés-Ayala F, Mendieta-Condado E, Díaz-Quiñonez JA, Castro-Escarpulli G, Ramírez-González JE. Mutational landscape and intra-host diversity of human papillomavirus type 16 long control region and E6 variants in cervical samples. Arch Virol 2019; 164:2953-2961. [PMID: 31552532 DOI: 10.1007/s00705-019-04407-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Accepted: 08/17/2019] [Indexed: 11/24/2022]
Abstract
Human papillomavirus genotype 16 (HPV16) is the most frequent high-risk HPV (HR-HPV) identified in cervical precursor lesions and cervical cancer (CC) worldwide. The oncogenic potential of HPV16 is partly dependent on the lineage involved in the infection and the presence of clinically relevant mutations. In this report, we present the distribution of HR-HPV and the mutational profile and intra-host variability of HPV16 lineages, based on analysis of the long control region (LCR) and the E6 gene in samples with normal cytology (n = 39), squamous intraepithelial lesions (n = 25), and CC (n = 39). HR-HPV genotyping was performed using multiplex real-time PCR. HPV16 lineage assignments and mutation frequencies were determined by conventional PCR and Sanger DNA sequencing, and intra-patient viral populations were analyzed using next-generation sequencing (NGS). The most frequent HR-HPV type was HPV16, followed by HPV31 and HPV18. The frequency of HPV16 sublineages was A1/A2 > D2 > D3 and B1. Moreover, the most frequent mutations, both in samples from this study and in the available sequences from Mexican isolates in the GenBank database were LCR-G7518A, which is involved in carcinogenesis, and E6-T350G (producing L83V), associated with persistence of infection. Otherwise, deep sequencing revealed high conservation of viral lineages and mutations, independently of the stages studied. In conclusion, the high frequency and stability of these molecular markers, as well as the circulating viral lineages, could be related to the incidence of CC associated with HPV16. Hence, they deserve a broader analysis to determine the risk of specific populations for progression of the disease.
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Affiliation(s)
- Noé Escobar-Escamilla
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE) "Dr. Manuel Martínez Báez", Secretaría de Salud, Mexico City, Mexico. .,Laboratorio de Investigación Clínica y Ambiental, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional (IPN), Mexico City, Mexico.
| | - Blanca Estela González-Martínez
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE) "Dr. Manuel Martínez Báez", Secretaría de Salud, Mexico City, Mexico
| | - Adnan Araiza-Rodríguez
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE) "Dr. Manuel Martínez Báez", Secretaría de Salud, Mexico City, Mexico
| | - David Esaú Fragoso-Fonseca
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE) "Dr. Manuel Martínez Báez", Secretaría de Salud, Mexico City, Mexico
| | - Abraham Pedroza-Torres
- Cátedra CONACyT, Clínica de Cáncer Hereditario, Instituto Nacional de Cancerología (INCan), Secretaría de Salud, Mexico City, Mexico
| | - Magaly Guadalupe Landa-Flores
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE) "Dr. Manuel Martínez Báez", Secretaría de Salud, Mexico City, Mexico
| | - Fabiola Garcés-Ayala
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE) "Dr. Manuel Martínez Báez", Secretaría de Salud, Mexico City, Mexico
| | - Edgar Mendieta-Condado
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE) "Dr. Manuel Martínez Báez", Secretaría de Salud, Mexico City, Mexico
| | - José Alberto Díaz-Quiñonez
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE) "Dr. Manuel Martínez Báez", Secretaría de Salud, Mexico City, Mexico.,División de Estudios de Posgrado, Facultad de Medicina, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
| | - Graciela Castro-Escarpulli
- Laboratorio de Investigación Clínica y Ambiental, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional (IPN), Mexico City, Mexico
| | - José Ernesto Ramírez-González
- Instituto de Diagnóstico y Referencia Epidemiológicos (InDRE) "Dr. Manuel Martínez Báez", Secretaría de Salud, Mexico City, Mexico.
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