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Detección e identificación de la infección por el virus del papiloma humano en muestras cervicales mediante técnicas moleculares

Translated title of the contribution: Detection and identification of Human papilloma Virus infection in cervical samples using molecular techniques
  • Universidad de Chile

Research output: Contribution to journalArticlepeer-review

Abstract

HPV genomes antigens were detected in 30 women who attended to San Jose Hospital in Santiago of Chile, for early detection of cervical cancer. Colposcopically directed biopsies were obtained for hystological confirmation of cervical lesions. Genomes and antigens of papilloma virus detection was done in the same material. Slot blot techniq was used for presence of HPV6, 11, 16 and 18 genomes. DNA probes were detected by immunoenzimatic were assay using alkaline phosphatase and cromogenic substratum. Viral antigens were detected using specific antisera for capsid proteins, by means of sterptavidine peroxidase system and cromogenic substratum. The results showed 23/30 positive viral genomes; 8 were positive for 6b+ 11 and 15 samples were positive for 16+18. This result show a great frequency for 16+ 18 genotypes. This type of virus was observed in low and high lesion. (Bethesda system). 8 cases were positive for viral capsid antigens. Only one case was positive for antigen and negative for genome. The results confirm the higher frequency of viral genomes detection with respect to antigens. The presence of 16 and 18 viral genomes in low grade lesions is very important because these genotypes are asscoiated with the cervical cancer development. These molecular technics are useful in the genital HPV infection studies in countries like Chile, where a high incidence of cervical cancer exists.
Translated title of the contributionDetection and identification of Human papilloma Virus infection in cervical samples using molecular techniques
Original languageSpanish (Chile)
Pages (from-to)98-102
Number of pages5
JournalRevista Chilena de Infectologia
Volume2
StatePublished - Jan 1992
Externally publishedYes

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This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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