Application of an entropy-based computational strategy to identify genomic markers for molecular detection and typing of human papillomavirus

Characteristic of persistent human papillomavirus infection in women worldwide: a meta-analysis

Objectives

We aimed to estimate the genotype distribution of persistent human papillomavirus (HPV) infection in females worldwide, and provided a scientific basis for the prevention strategies of cervical cancer (CC) and the development of HPV vaccines.

Methods

Both English and Chinese databases were researched from the inception to July 2023. The pooled persistent HPV infection prevalence was calculated using a random effects model. The subgroup analysis was performed to explore the heterogeneity. Publication bias was evaluated using funnel plot, Egger's and Begg's test.

Results

Twenty-eight studies with 27,335 participants were included. The pooled prevalence of persistent HPV infection was 29.37% (95% CI [24.05%∼35.31%]), and the genotypes with the persistent infection prevalence were HPV16 (35.01%), HPV52 (28.19%), HPV58 (27.06%), HPV18 (25.99%), HPV33 (24.37%), HPV31 (23.35%), HPV59 (21.87%), HPV39 (19.54%), HPV68 (16.61%) and HPV45 (15.05%). The prevalence of multiple and single HPV persistent infection were 48.66% and 36.71%, respectively; the prevalence of persistent HPV infection in different age groups (<30, 30∼39, 40∼49, >50) were 29.83%, 28.39%, 22.24% and 30.22%, respectively. The follow-up time was significantly associated with heterogeneity by subgroup analysis (P < 0.05), and the prevalence of persistent infection decreased with longer follow-up time.

Conclusions

Multiple infections were more likely to occur persistent HPV infection than single infection. In addition to HPV vaccination, we should emphasize the follow-up management for women under 30 and over 50 years old, those with high-risk HPV infection (HPV59, 39, 68) and multiple infections.

Comparative analysis of different PCR-based strategies for HPV detection and genotyping from cervical samples

BACKGROUND

Human papillomavirus (HPV) is the main cause of cervical cancer. Polymerase chain reaction (PCR)-based techniques are associated with accurate results with respect to HPV detection and genotyping, being able to identify viral DNA at low levels. However, differences in primer design influence their sensibility and specificity, depending on the HPV type assessed.

OBJECTIVE

The aim of the study was to comparatively evaluate the effectiveness of three different PCR-based strategies for HPV detection and genotyping from cervical samples.

STUDY DESIGN

The procedures were based on different primer design strategies, using MY09/MY11, EntroA, and type specific multiplex PCR primers.

RESULTS

Out of 411 samples of cervical scrapings, 45 (10.9%), 50 (12.2%), and 117 (28.5%) were positive for MY09/MY11, EntroA, and multiplex PCR, respectively. For MY09/MY11 positive samples, 36 were negative for EntroA and 23 for multiplex PCR. For EntroA positive samples, 40 were negative for MY09/MY11 and 26 for multiplex PCR. For multiplex PCR positive samples, 96 were negative for MY09/MY11 and 94 for EntroA. MY09/MY11 identified 12 different HPV types, EntroA detected eight types and multiplex PCR detected 11 HPV types. EntroA primers were able to detect HPV in more samples than MY09/MY11, while multiplex PCR, despite the limited targeted HPV types, presented higher sensibility than the other methods.

CONCLUSIONS

The three methods presented different advantages and disadvantages, and the present study reinforces the need to use more than one molecular strategy for HPV detection and genotyping, and the development of novel methods which could overcome the limitations of the existing tests.

EntroPhylo: An entropy-based tool to select phylogenetic informative regions and primer design

We present a novel entropy-based computational tool that selects phylogenetic informative genomic regions associated with degenerate primer design. This tool identifies proper phylogenetic markers and proposes suitable degenerate primers to amplify and sequence them. The algorithm calculates the entropy value per site, and the selected region is used for primer design. In order to evaluate the tool, sequences of bovine papillomavirus L1 gene were obtained. Once the molecular region was selected, the primers were designed by the software and used in a PCR reaction for viral detection. Three positive samples were tested with four different concentrations, and it was possible to detect the virus in all samples. The results show the applicability of a tool that can select informative regions for phylogenetic analysis and design primers to amplify and sequence these regions, becoming relevant for several studies focusing on pathogen detection, as well as phylogenetic and genetics studies of populations.