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实际疫苗接种方案后高危型非疫苗型人乳头瘤病毒类型的动态变化。

Dynamics of high-risk nonvaccine human papillomavirus types after actual vaccination scheme.

机构信息

Departamento de Matemáticas, Facultad de Ciencias, UNAM. Avenida Universidad 3000, Circuito Exterior S/N Delegación Coyoacán, C.P. 04510 Ciudad Universitaria, D.F., Mexico ; Centro de Ciencias de la Complejidad (C3), Torre de Ingeniería, UNAM. Avenida Universidad 3000, Circuito Exterior S/N Delegación Coyoacán, C.P. 04510 Ciudad Universitaria, D.F., Mexico.

Hospital General de México, Dr Balmis No. 148. Col. Doctores C.P. 06726 México, D.F., Mexico ; Unidad Académica de Matemáticas, Universidad Autónoma de Guerrero, Avenida Lázaro Cárdenas S/N, Ciudad Universitaria, C.P. 39090 Chilpancingo, GRO, Mexico.

出版信息

Comput Math Methods Med. 2014;2014:542923. doi: 10.1155/2014/542923. Epub 2014 Apr 3.

Abstract

Human papillomavirus (HPV) has been identified as the main etiological factor in the developing of cervical cancer (CC). This finding has propitiated the development of vaccines that help to prevent the HPVs 16 and 18 infection. Both genotypes are associated with 70% of CC worldwide. In the present study, we aimed to determine the emergence of high-risk nonvaccine HPV after actual vaccination scheme to estimate the impact of the current HPV vaccines. A SIR-type model was used to study the HPV dynamics after vaccination. According to the results, our model indicates that the application of the vaccine reduces infection by target or vaccine genotypes as expected. However, numerical simulations of the model suggest the presence of the phenomenon called vaccine-induced pathogen strain replacement. Here, we report the following replacement mechanism: if the effectiveness of cross-protective immunity is not larger than the effectiveness of the vaccine, then the high-risk nonvaccine genotypes emerge. In this scenario, further studies of infection dispersion by HPV are necessary to ascertain the real impact of the current vaccines, primarily because of the different high-risk HPV types that are found in CC.

摘要

人乳头瘤病毒(HPV)已被确定为宫颈癌(CC)发展的主要病因。这一发现促进了疫苗的开发,有助于预防 HPV 16 和 18 感染。这两种基因型与全球 70%的 CC 有关。在本研究中,我们旨在确定实际疫苗接种方案后高危非疫苗 HPV 的出现,以评估当前 HPV 疫苗的影响。我们使用 SIR 型模型来研究疫苗接种后的 HPV 动态。根据结果,我们的模型表明,疫苗的应用如预期的那样减少了目标或疫苗基因型的感染。然而,模型的数值模拟表明存在所谓的疫苗诱导病原体菌株替代现象。在这里,我们报告以下替代机制:如果交叉保护免疫的有效性不比疫苗的有效性大,那么高危非疫苗基因型就会出现。在这种情况下,有必要进一步研究 HPV 感染的传播,以确定当前疫苗的实际影响,主要是因为在 CC 中发现了不同的高危 HPV 类型。

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