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巴西中部新发现的人乳头瘤病毒16型欧洲和非欧洲变体

New HPV-16 European and non-European variants in Central Brazil.

作者信息

Alencar Tainá Raiol, Cerqueira Daniela Marreco, da Cruz Márcio Rojas, Wyant Patrícia Soares, Ramalho Eduardo Dias, Martins Cláudia Renata Fernandes

机构信息

Departamento de Biologia Celular, Instituto de Biologia, Universidade de Brasília, Instituto de Biologia, ICC - Ala Sul, Campus da Universidade de Brasília, Brasília, DF, 70919-900, Brazil.

出版信息

Virus Genes. 2007 Aug;35(1):1-4. doi: 10.1007/s11262-006-0040-5. Epub 2006 Oct 18.

Abstract

HPV-16 is the most prevalent human papillomavirus genotype found in cervical intraepithelial neoplasias. The regulatory region of the HPV genome, LCR, has several binding sites for cellular and viral transcription factors, and nucleotide substitutions in this genomic region can interfere with the viral oncogenic expression. The present study aims to determine the LCR variability of European and non-European HPV-16 variants found in Brazil. Through automated sequencing, it was possible to characterize the LCR of ten non-European (eight Asian-American, one African 1, one African 2) and twelve European isolates. Among the 22 isolates analyzed, nine may be new variants of HPV-16, with different combinations of previously reported nucleotide substitutions, and three showed new substitutions not previously reported. Two new nucleotide substitutions, the insertion of T at position 7621 and the substitution of A to G at position 7836, were found in a single isolate, Bsb-14, a putative new African 1 variant. The characterization of the LCR of human papillomaviruses can be of pivotal importance to the understanding of the viral replication and pathogenicity.

摘要

HPV - 16是在宫颈上皮内瘤变中发现的最常见的人乳头瘤病毒基因型。HPV基因组的调控区域LCR有多个细胞和病毒转录因子的结合位点,该基因组区域的核苷酸替换可干扰病毒致癌基因的表达。本研究旨在确定在巴西发现的欧洲和非欧洲HPV - 16变体的LCR变异性。通过自动测序,得以对10个非欧洲(8个亚裔美国人型、1个非洲1型、1个非洲2型)和12个欧洲分离株的LCR进行特征分析。在分析的22个分离株中,9个可能是HPV - 16的新变体,具有先前报道的核苷酸替换的不同组合,3个显示出先前未报道的新替换。在一个单独的分离株Bsb - 14(一种假定的新非洲1型变体)中发现了两个新的核苷酸替换,即7621位的T插入和7836位的A到G替换。人乳头瘤病毒LCR的特征分析对于理解病毒复制和致病性可能至关重要。

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