Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

High-risk human papillomavirus prevalence among South African women diagnosed with other STIs and BV

  • Wenkosi Qulu ,

    Contributed equally to this work with: Wenkosi Qulu, Andile Mtshali

    Roles Conceptualization, Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing

    Affiliations Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa

  • Andile Mtshali ,

    Contributed equally to this work with: Wenkosi Qulu, Andile Mtshali

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliations Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa

  • Farzana Osman,

    Roles Formal analysis, Writing – review & editing

    Affiliation Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa

  • Nonsikelelo Ndlela,

    Roles Formal analysis, Methodology, Writing – review & editing

    Affiliations Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa

  • Lungelo Ntuli,

    Roles Data curation, Investigation, Methodology, Writing – review & editing

    Affiliations Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa

  • Gugulethu Mzobe,

    Roles Data curation, Formal analysis, Writing – review & editing

    Affiliations Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa

  • Nivashnee Naicker,

    Roles Data curation, Project administration, Writing – review & editing

    Affiliation Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa

  • Nigel Garrett,

    Roles Conceptualization, Funding acquisition, Investigation, Resources, Validation, Writing – review & editing

    Affiliations Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa, School of Nursing and Public Health, Discipline of Public Health Medicine, University of KwaZulu-Natal, Durban, South Africa

  • Anne Rompalo,

    Roles Funding acquisition, Investigation, Methodology

    Affiliation Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America

  • Adrian Mindel,

    Roles Conceptualization, Funding acquisition, Resources

    Affiliation Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa

  • Sinaye Ngcapu,

    Roles Conceptualization, Funding acquisition, Supervision, Writing – original draft, Writing – review & editing

    Affiliations Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa

  • Lenine Liebenberg

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Writing – original draft, Writing – review & editing

    Liebenbergl@sun.ac.za

    Affiliations Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa, Centre for Epidemic Response and Innovation, Stellenbosch University, Cape Town, South Africa

Abstract

Introduction

Human papillomavirus (HPV) infection is a leading cause of cervical cancer. Although this relies on infection and persistence of HPV in epithelial cells, often occurring in the context of other sexually transmitted infections (STIs) and bacterial vaginosis (BV), data on the relationships between these and their relative effects on epithelial barrier integrity in women remain sparse. This study describes the epidemiology of HPV combined with STI and/or BV prevalence and the relative impact on matrix metalloproteinases (MMPs) among South African women.

Methods

Roche Linear Array was used for HPV genotyping in menstrual cup pellets of 243 HIV-negative women participating in the CAPRISA 083 cohort study. Vulvovaginal swabs were tested for Chlamydia trachomatis, Neisseria gonorrhoeae, and Trichomonas vaginalis using Xpert® CT/NG assay and lateral flow assay, and Gram staining was performed to diagnose BV using Nugent scoring criteria. Concentrations of 5 MMPs were measured in menstrual cup supernatants by multiplexed ELISA. Fisher’s exact tests, Mann-Whitney U tests, and multivariable regression models determined associations between HPV infection, STI and/or BV, and MMP concentrations.

Results

HPV was prevalent in 34% of women (83/243; median 23 years, interquartile range (IQR) 21–27 years). Low-risk (lr) (71%, 59/83) and high-risk (hr)-HPV infections (54.2%, 45/83) were common. Hr-HPV was frequently detected in STI and/or BV-positive women compared to women without STIs or BV (p = 0.029). In multivariable analysis, BV was associated with increased odds of hr-HPV detection (OR: 2.64, 95%CI: 1.02–6.87, p = 0.046). Furthermore, Gardasil®9 vaccine-type strains were more frequently detected in women diagnosed with STI and/or BV (55.2%, 32/58 vs 24%, 6/25; p = 0.009). Among STI and/or BV-positive women, HPV detection was significantly associated with increased MMP-10 concentrations (b = 0.55, 95% CI 0.79–1.01; p = 0.022).

Conclusion

Most women with hr-HPV had another STI and/or BV, emphasizing an urgent need for STI and BV screening and intensive scale-up of cervical cancer screening and HPV vaccination programmes. Furthermore, the study highlights the need for more extensive research to confirm and understand the relationship between HPV infection and barrier integrity.

Introduction

Human papillomavirus (HPV), the most prevalent sexually transmitted virus worldwide, is the main etiologic agent for the development of cervical cancer [1, 2]. Although there are geographical disparities in HPV prevalence, sub-Saharan Africa has the highest global prevalence of HPV (ranging from 8.5 to 74.6%) among women with normal cervical cytology [35]. The risk for HPV infection is skewed toward young women who engage in sexual intercourse early in their reproductive years [6, 7]. In South Africa, young women <25 years of age are disproportionately affected by HPV and high-risk (hr)-HPV, with prevalence reaching up to 70% and 50%, respectively [8, 9]. The prevalence of multiple HPV infections and incidence of cervical cancer in young women varies widely depending on the different ethnic groups and geographic areas [1012].

Young women are biologically susceptible to sexually transmitted infections (STIs), including HIV infection [13]. Studies have demonstrated that women living with HIV are 6 times more likely to develop cervical cancer compared to women without HIV [14]. STIs such as Chlamydia trachomatis, Neisseria gonorrhoeae, and Trichomonas vaginalis have been associated with HPV infection and persistence, leading to delayed infection clearance and possible induction of precancerous lesions or cervical intraepithelial neoplasia (CIN) type 1, 2, or 3 [15, 16]. Furthermore, bacterial vaginosis (BV), the most common cause of abnormal vaginal discharge among women of childbearing age, is associated with incident HPV infection and HPV persistence [17, 18]. The high prevalence of BV and multiple infections with sexually transmitted pathogens (such as HPV and other STIs) has been associated with increased HIV acquisition risk in sub-Saharan African women [1921].

Although cervical cancer is preventable through HPV vaccination if it is administered before exposure, HPV vaccination coverage has been low while incidence rates remain high in resource-limited settings [19]. Data from South Africa have shown that approximately 3.2% of women in the general population harbour cervical HPV-16 or HPV-18 infection and 64.2% of invasive cervical cancers have been attributed to these genotypes [22]. In addition, HPV-35 and HPV-45 associated cervical precancers are more common in women of African descent and account for nearly 10% of cervical cancer cases [1, 2325]. While the existing highly effective HPV vaccines have decreased HPV-16 prevalence, these do not target HPV-35 and may explain the increased prevalence observed in sub-Saharan African women [12, 2527].

An intact squamous epithelium effectively protects against pathogen entry [28]. As HPV infects and replicates in the epithelium [29] cells might lose their epithelial characteristics and develop a mesenchymal phenotype [30]. However the contribution of HPV infection to this transformation has not yet been fully elucidated. Matrix metalloproteinases (MMPs) are biomarkers of epithelial barrier integrity that play a critical role in the degradation of extracellular matrix, including remodelling of the tumour microenvironment, cell invasion, and development of metastatic disease [3135]. In addition, MMPs are involved as essential molecules in multiple and diverse physiological processes of cancer, such as cell migration, differentiation, proliferation, apoptosis, inflammatory reactions, angiogenesis, and platelet aggregation [36]. While there is a relationship between MMPs and cervical cancer, it remains unknown whether HPV infection induces MMP expression in the female genital tract.

In this study, we determined the prevalence of HPV in a population of 243 young South African women attending primary healthcare in Durban, South Africa. We identified the most common circulating oncogenic genotypes and determined associations of BV and other STIs with HPV prevalence to test the hypothesis that HPV and concurrent STI and/or BV weaken the epithelial barrier integrity in the genital mucosa.

Materials and methods

Study design and population

This was a cross-sectional analysis of 243 young South African women who participated in the CAPRISA 083 cohort study between May 2016 and January 2017. All women provided written informed consent for participation in the study, and participants were only included in this study if consenting to specimen storage for assessment of the study’s secondary objectives and any future research. CAPRISA 083 evaluated a combination of point-of-care (POC) STI testing, immediate treatment, and expedited partner therapy in non-pregnant, HIV-negative women, 18 years and older, who attended for sexual and reproductive care at a public healthcare clinic in eThekwini, South Africa [37, 38]. Gram stain (Nugent score with 0–3 considered BV negative, 4–6 intermediate BV, and 7–10 BV positive) was used for BV screening [39]. STI testing included screening for C. trachomatis, N. gonorrhoeae by Xpert® CT/NG (Cepheid, Sunnydale, California, US) and for Trichomonas vaginalis (TV) by the OSOM® Rapid Trichomonas Test (Sekisui Diagnostics, Lexington, MA, US). Women with confirmed STIs and/or BV were treated appropriately as per international guidelines. Any data that could potentially identify participants’ information were anonymised throughout the research process. The authors adhered to the relevant data protection regulations and ethical guidelines to minimize the risk of unintentional disclosure of participants’ identities. The study was approved by the Biomedical Research Ethics Committee of the University of KwaZulu-Natal (BE303/17).

Measurement of matrix metalloproteinases in SoftCup supernatants

Concentrations of 5 MMPs (MMP-1, -2, -7, -9, and -10; MMP Panel-2 kit, Merck-Millipore, Missouri, U.S.A.) were measured in SoftCup supernatants collected at enrollment were measured on a Bio-Plex 200 Array Reader system (Bio-Rad Laboratories Inc®, Hercules, California). Assays were conducted according to the manufacturer’s instructions. The sensitivity of the kits ranged between 0.2 and 45.2 pg/ml for each cytokine measured and between 2 and 200 pg/ml for each MMP. Bio-Plex manager software (version 5.0; Bio-Rad Laboratories Inc®) was used to analyze the data and all analyte concentrations were extrapolated from the standard curves using a 5-parameter logistic (PL) regression equation. Analyte concentrations that were below the lower limit of quantification were reported as the mid-point between zero and the lowest concentration measured for each analyte. For analyte readings above the upper limit of detection, concentrations were reported as halfway between the highest concentration and the upper limit of the standard curve.

HPV DNA detection and genotyping in cervicovaginal specimens

HPV DNA was extracted in matching menstrual cup pellet specimen using an automated MagNA pure instrument (Roche Diagnostics, Indianapolis, IN, USA) and amplified using the Roche Linear Array® HPV Genotyping Test kit (Roche Diagnostics, Indianapolis, IN, USA) according to the manufacturer instructions. The assay identifies 37 HPV genotypes [HPV-6, -11, -16, -18, -26, -31, -33, -35, -39, -40, -42, -45, -51, -52, -53, -54, -55, -56, -58, -59, -61, -62, -64, -66, -67, -68, -69, -70, -71, -72, -73, -81, -82, -83, -84, -89 (HPV-CP6108) and–IS39] [8]. Hr-HPV genotypes include HPV-16, -18, -31, -33, -35, -39, -45, -51, -52, -56, -58, -59, or -68, while low-risk HPV include HPV-6, -11, -26, -40, -42, -53, -54, -55, -61, -62, -64, -67, -69, -70, -71, -72, -73, -81, -82 subtype (IS39), -83, -84, and -89 (CP6108).

Statistical analysis

Baseline characteristics were summarized using median and interquartile ranges for continuous variables, and proportions for categorical variables. Differences between proportions were tested by Fisher’s exact test, whilst the difference between medians was computed using the Mann-Whitney U test. Log binomial logistic regression was used to determine the association between HPV infection and STI or BV infection. HPV infection was defined as follows: infection with any HPV type, infection with any low-risk type, and infection with any high-risk type. Additionally, HPV infection was defined as the detection of any types targeted by the Cervarix® vaccine (HPV-16 and -18), the detection of any HPV types targeted by the Gardasil®4 vaccine (HPV-6, -11, -16, -18), and the detection of HPV types targeted by Gardasil®9 vaccine (HPV-6, -11, -16, -18, -31, -33, -45, -52, -58) to determine the association of vaccine-preventable HPV types with STI or BV acquisition. Single HPV infection is defined as the detection of only one HPV type in the same sample. Multiple HPV infections were defined as the detection of two or more HPV types in the same sample. In cases where multiple infections were identified, individuals were counted as infected for the specific category if they have one or more infections in that category. However, these women were counted more than once when determining the prevalence of lr-HPV, and hr-HPV, if they have HPV types that belong to more than one category. A p-value less than 0.05 was considered significant. Statistical analysis was carried out using STATA v17 (STATA Corp, College Station, TX, USA) and SAS ®9.4 software (SAS Institute Inc., Cary, NC, USA).

Results

Baseline characteristics by HPV infection status

A total of 243 sexually active women with a median age of 23 years (interquartile range IQR 21–27 years) were included in the analysis. HPV genotypes were detected in 34% (83/243) of women (Table 1). The majority of women reported condom use (69.5%, 169/243) and this was similar among women with detectable HPV genotypes and those without (71.1% and 68.8%, respectively; p = 0.770). Furthermore, there were no differences in the proportion of women using hormonal contraceptives (42.5%, and 34.0%, p = 0.204), and the median number of sex partners in the past 12 months was 1 partner (IQR 1–2; p = 0.834) in both groups. More than half of the women in this cohort had intermediate BV or BV, and this did not differ significantly between women with detectable HPV genotypes and those without HPV infection (36.1% and 31.3%, respectively; p = 0.359). Nearly 15% (36/243) of women were infected with C. trachomatis and this was similar between groups (16.9% versus 13.8%; p = 0.569). The prevalence of N. gonorrhoeae (4.5%) and T. vaginalis (3.3%) were relatively low in this cohort and were also similar between groups (Table 1).

thumbnail
Table 1. Sociodemographic and clinical characteristics of study participants.

https://doi.org/10.1371/journal.pone.0294698.t001

Type-specific HPV frequency and genotype distribution

Of the 83/243 (34%) women with detectable HPV genotypes, the proportions of hr-HPV and lr-HPV infections were 54.2% (45/83) and 71% (59/83), respectively (Fig 1A). The most prevalent hr-HPV genotypes were HPV-51, HPV-52, HPV-45, and HPV-59 with corresponding proportions of 12% (10/83), 9.6% (8/83), 9.6% (8/83), and 9.6% (8/83), respectively. HPV-16 (8.4%, 7/83) was more prevalent than HPV-18 (1.2%, 1/83). The most frequently detected lr-HPV genotypes were HPV-81 (14.5%, 12/83), HPV-66 (9.6%, 8/83), HPV-62 (9.6%, 8/83), and HPV-11 (9.6%, 8/83). Infection with a single HPV type (54.2%, 45/83) was slightly more common than multiple HPV infections (45.8%, 38/83) in this cohort (Fig 1B). The multiple HPV infections were observed as follows: 28.9% of women were infected with 2 HPV types (24/83), 7.2% with 3 HPV types (6/83), 7.2% with 4 HPV genotypes (6/83), and 7.2% with 5 HPV genotypes (6/83), respectively. Hr-HPV types targeted by the Cervarix® HPV vaccine (HPV-16 and/or 18) were detected in 9.6% (8/83) of women with HPV infection. HPV types targeted by the Gardasil®4 vaccine (HPV-6, -11, -16 and -18) were detected in 27.7% (23/83) and those targeted by Gardasil®9 vaccine types (HPV-6, -11, -16, -18, -31, -33, -45, -52 and -58) were detected in 45.8% (38/83) of women (Fig 1B).

thumbnail
Fig 1. A: Genotype distribution of hr- and lr-HPV among women with HPV infection (N = 83).

Frequency of HPV genotypes for all women at baseline. The salmon bars indicate hr- HPV genotypes, the blue bars indicate lr-HPV genotypes and the dotted bars indicate strains included in vaccines. B: Type-specific HPV genotype frequency at baseline (N = 83). The blue bars indicate lr-HPV genotypes, salmon bars indicate hr-HPV genotypes, and solid gray bars indicate, any HPV genotype, number of HPV genotypes, single and multiple HPV genotypes, and vaccine type strains. Hr-HPV is defined as infection with any of the following HPV genotypes: HPV-16, -18, -31, -33, -35, -39, -45, -51, -52, -56, -58, -59, or -68. Lr-HPV is defined as infection with any of the following HPV genotypes: HPV-6, -11, -26, -40, -42, -53, -54, -55, -61, -62, -64, -67, -69, -70, -71, -72, -73, -81, -82 subtype (IS39), -83, -84, and -89 (CP6108). Cervarix® HPV vaccine is defined as infection with HPV types-16 and -18. Gardasil®4 HPV vaccine is defined as infection with any of the following HPV types: HPV-6, -11, -16, or -18. Gardasil®9 HPV vaccine is defined as infection with HPV-6, -11, -16, -18, -31, -33, -45, -52, or -58.

https://doi.org/10.1371/journal.pone.0294698.g001

Factors associated with HPV prevalence in women

Fisher’s exact tests were used to assess the relationship between HPV type and STIs and/or BV. Among women with HPV infection, infection with hr-HPV genotypes was more prevalent in women diagnosed with STIs and/or BV compared to those with no STI and/or BV (62%, 36/58 vs 36%, 9/25; p = 0.029). Gardasil®9 vaccine-type strains were more frequently detected in women diagnosed with STI and/or BV compared to women with no STI and/or BV (55.2%, 32/58 vs 24%, 6/25; p = 0.009) (Table 2).

thumbnail
Table 2. Co-detection of HPV and other STIs and/or BV (N = 83).

https://doi.org/10.1371/journal.pone.0294698.t002

Next, multivariable analysis was used to determine whether the presence of STIs and/or BV in this cohort was associated with hr-HPV or multiple HPV genotypes, as previously demonstrated [40, 41]. None of the STIs/BV were associated with any HPV or multiple HPV type infection (Table 3). In multivariate analysis adjusting for age, pelvic exam assessment, and number of sexual partners in the last 12 months, women diagnosed with intermediate BV or BV (aOR 2.64, 95% confidence interval (CI) 1.02–6.87, p = 0.046 and those co-infected with BV and any STI (OR 3.16, 95% CI 1.15–8.64, p = 0.025) were more likely to have detectable hr-HPV genotype than women without BV (Nugent ≤3) or STI (Table 3).

The association between HPV infection and the exact mechanism such as markers of epithelial barrier integrity that may contribute to cervical cancer disease progression remains an active area of research. Next, we compared MMPs in women with and without HPV, and no differences in MMP concentrations were observed (S1 Fig). A linear mixed regression analysis was used to estimate the association of HPV and MMPs concentrations among STI and/or BV-positive women, adjusting for age, number of sexual partners in the last 12 months, and pelvic examination assessment. Of the five MMPs tested, the concentration of MMP-10 (β = 0.55, 95% CI 0.79–1.01; p = 0.022)] was significantly increased among HPV-positive women with STI and/or BV relative to women without HPV even after adjusting for multiple comparisons. No differences were observed in other MMP concentrations of women with and without HPV (Table 4).

thumbnail
Table 4. Association between HPV, STI, and/BV and biomarkers of epithelial barrier integrity.

https://doi.org/10.1371/journal.pone.0294698.t004

Discussion

This study characterized the genital HPV prevalence and type-specific distribution in menstrual cup specimens of young women enrolled in a cohort study that combined an STI care model of point-of-care STI testing, immediate treatment, and expedited partner therapy. In addition, the relationship between HPV and STI and/or BV was assessed, including the relative effects on MMP concentrations. Our study demonstrated a high prevalence of hr and lr HPV infection among these women. Hr-HPV was frequently detected in STI and/or BV-positive women compared to women without. Women with STI and/or BV and with concurrent HPV exhibited significantly higher levels of MMP-10.

The overall HPV prevalence was 34% (83/243) and 54.2% of these were high-risk genotypes. This is consistent with previous studies that reported hr-HPV prevalence of 54% among women in South Africa [8, 4244]. In contrast, other studies within the Southern Africa region have reported either lower (28–46%) [7, 45, 46] or higher (70–80%) [25, 47] hr-HPV prevalence than observed here. The inconsistency in hr-HPV prevalence within this region may be attributed to the population, sample type, collection method, and transient nature of HPV infection. Furthermore, our sample type of choice was menstrual cup pellets while others either used cervicovaginal lavage pellets [8], cervical biopsies [25], swabs or brushes [9, 48] collected from the cervix.

Studies have identified that STIs and/or BV are associated with HPV infection [17, 43], and may facilitate HPV persistence, leading to complications like cervical cancer [8]. In addition, there is evidence for multiple interactions between HPV, BV, and other STIs, and increased risk of HIV acquisition and transmission [49]. BV detection, but not STIs, showed a strong correlation with hr-HPV infection. These findings can be explained by a high burden of both BV and HPV among women of African descent. Additionally, many young, healthy, black African women have vaginal communities with low Lactobacillus abundance and high diversity [50, 51]. BV has been previously associated with prevalent or new HPV infections and low-grade squamous intraepithelial cervical lesions [52]. Studies have demonstrated that an optimal female genital tract environment dominated by Lactobacillus species may be protective against HPV infection whereas those with diverse microbiota, reminiscent of BV, are not [53, 54]. Women with high relative abundances of Atopobium vaginae and Gardnerella vaginalis have been shown to increase the risk of acquiring new HPV infections and facilitate HPV persistence [55, 56]. It has been hypothesized that the mechanism behind increased HPV risk in women with BV may involve the disruption of epithelial barrier integrity by G. vaginalis [57]. These findings highlight the need for more effective treatments for BV, including Lactobacillus-based probiotics, which may support HPV clearance and other multi-component strategies for preventing sexually transmitted diseases (including HPV) among women.

HPV infection of the dividing basal layer requires disruption of epithelial barriers. Disruption of epithelial cells might involve the degradation of the extracellular matrix (ECM). Hr-HPV infection, including cancer progression, has been associated with increased expression of specific ECM-degrading MMPs in the cervical cancer [32, 58, 59]. In healthy tissue, MMP expression and activity is well coordinated, however, upon HPV infection this regulation is disrupted [60]. We showed that although HPV was not associated with MMP concentrations in the general population, the additive effect of concurrent HPV infection was associated with increased concentrations of MMP-10 in women with STI and/or BV. Elevated levels of MMP-10 may likely induce the expression of crucial molecules involved in angiogenesis, metastasis, and apoptosis, fostering a favourable environment that supports the survival and growth of malignant tumours [61]. Evidently, increased MMP-10 expression has been associated with resistance to apoptosis and stimulation of pro-angiogenic factors such as hypoxia-inducible factor-1 alpha (HIF)-1α and MMP-2, and pro-metastatic factors including plasminogen activator inhibitor-1 (PAI-1) and chemokine (CXC motif) receptor 2 (CXCR2) [61]. Accordingly, in vivo siRNA therapeutics targeting MMP-10 have demonstrated a reduction in tumour growth and angiogenesis [61]. In summary, the increased expression of MMP-10 in women with STIs and/or BV suggests a potential correlation with the development of cervical intraepithelial lesions. These findings collectively underscore the significance of MMPs as a viable target for therapeutic intervention in HPV-associated cervical cancer. The findings indicate that HPV alone may not be sufficient to induce the expression of MMP-10 but in combination with STIs and/or BV. The interplay between these factors could have implications for HPV persistence and the development of cervical cancer. Further research is needed to fully understand the complex interactions between cervical HPV, STIs, BV, and MMP-10 expression in women.

This study had some limitations. First, the sample size was relatively small, which impacted the statistical power and the generalizability, particularly to older women. Second, the study did not elicit whether participants were vaccinated for HPV. Although HPV vaccinations are available in the private healthcare sector, the high cost of the vaccines would have excluded this option for the majority of participants. Furthermore, the roll-out of the Cervarix® vaccine started in 2014 for 9–12-year-old girls in South Africa, while this study started in 2016 and it is therefore unlikely that participants received the vaccination in school. Nevertheless, HPV prevalence was as high or similar to reports from our region. Finally, this study only conducted a cross-sectional analysis of HPV prevalence among the cohort; hence, we were unable to assess HPV infection dynamics associated with STI and/or BV status.

In conclusion, the prevalence of hr-HPV infection among women in this population was high; underscoring an urgent need for improved cervical cancer screening and prevention programmes, including roll-out, and scale-up of HPV vaccines to curb the reported increase in HPV acquisition and cervical cancer incidence. Furthermore, the observed association between HPV infection and BV emphasizes the need to develop better BV treatments, such as biofilm dissolving agents and live biotherapeutics that could shift the vaginal microbiota towards Lactobacillus-dominant communities, and multicomponent STI strategies with the potential to prevent sexually transmitted diseases and improve the reproductive health of women.

Supporting information

S1 Fig. Comparisons of MMP concentrations against HPV status in women at baseline (N = 243).

The t-test was used to compare median log-transformed MMP concentrations between HPV-infected and uninfected groups.

https://doi.org/10.1371/journal.pone.0294698.s001

(TIF)

Acknowledgments

We would like to thank the CAPRISA 083 study participants for their contribution to the research and the clinical and laboratory teams for the collection of clinical data and specimens.

References

  1. 1. Bruni L., et al., Information Centre on HPV and Cancer (HPV Information Centre). Human papillomavirus and related diseases report. ICO/IARC 2019. p. 307–307.
  2. 2. Walboomers J.M., et al., Human papillomavirus is a necessary cause of invasive cervical cancer worldwide. The Journal of Pathology, 1999. 189(1): p. 12–19. pmid:10451482
  3. 3. Richter K. and Dreyer G., Paradigm shift needed for cervical cancer: HPV infection is the real epidemic. South African Medical Journal, 2013. 103(5): p. 290–292. pmid:23971116
  4. 4. Bruni L., et al., Information Centre on HPV and Cancer (HPV Information Centre). Human Papillomavirus and Related Diseases in Saudi Arabia. ICO/IARC. Summary Report 22 October 2021. 2021,.
  5. 5. Forman D., et al., Global burden of human papillomavirus and related diseases. Vaccine, 2012. 30: p. F12–F23. pmid:23199955
  6. 6. Itarat Y., et al., Sexual behavior and infection with cervical human papillomavirus types 16 and 18. International Journal of Women’s Health, 2019. 11: p. 489–494. pmid:31692583
  7. 7. Mbulawa Z.Z., et al., High human papillomavirus (HPV) prevalence in South African adolescents and young women encourages expanded HPV vaccination campaigns. PloS One, 2018. 13(1): p. 1–15. pmid:29293566
  8. 8. Liebenberg L.J., et al., HPV infection and the genital cytokine milieu in women at high risk of HIV acquisition. Nature Communications, 2019. 10(1): p. 5227. pmid:31745084
  9. 9. Taku O., et al., Distribution of human papillomavirus (HPV) genotypes in HIV-negative and HIV-positive women with cervical intraepithelial lesions in the Eastern Cape Province, South Africa. Viruses, 2021. 13(2): p. 1–30. pmid:33670231
  10. 10. Okoye J.O., et al., Racial disparities associated with the prevalence of vaccine and non-vaccine HPV types and multiple HPV infections between Asia and Africa: a systematic review and meta-analysis. Asian Pacific Journal of Cancer Prevention, 2021. 22(9): p. 2729–2741. pmid:34582640
  11. 11. Musselwhite L.W., et al., Racial/ethnic disparities in cervical cancer screening and outcomes. Acta Cytologica, 2016. 60(6): p. 518–526. pmid:27825171
  12. 12. Jordaan S., et al., A review of cervical cancer in South Africa: previous, current and future. Health Care Current Reviews, 2016. 4(4): p. 1–6.
  13. 13. Karim S.S.A. and Baxter C., HIV incidence trends in Africa: young women at highest risk. The Lancet HIV, 2021. 8(7): p. e389–e390. pmid:34197769
  14. 14. Stelzle D., et al., Estimates of the global burden of cervical cancer associated with HIV. The Lancet Global Health, 2021. 9(2): p. e161–e169. pmid:33212031
  15. 15. Paba P., et al., Co-expression of HSV2 and Chlamydia trachomatis in HPV-positive cervical cancer and cervical intraepithelial neoplasia lesions is associated with aberrations in key intracellular pathways. Intervirology, 2008. 51(4): p. 230–234. pmid:18812695
  16. 16. Tovo S.F., et al., Molecular epidemiology of human papillomaviruses, Neisseria gonorrhoeae, chlamydia trachomatis and mycoplasma genitalium among female sex Workers in Burkina Faso: Prevalence, coinfections and drug resistance genes. Tropical Medicine and Infectious Disease, 2021. 6(2): p. 1–9. pmid:34072200
  17. 17. Brusselaers N., et al., Vaginal dysbiosis and the risk of human papillomavirus and cervical cancer: systematic review and meta-analysis. American Journal of Obstetrics and Gynecology, 2019. 221(1): p. 9–18. e8. pmid:30550767
  18. 18. Happel A.-U., et al., Cervicovaginal Human Papillomavirus Genomes, Microbiota Composition and Cytokine Concentrations in South African Adolescents. Viruses, 2023. 15(3): p. 1–22. pmid:36992467
  19. 19. Liu G., et al., Prevalent HPV infection increases the risk of HIV acquisition in African women: advancing the argument for HPV immunization. AIDS (London, England), 2022. 36(2): p. 257–265.
  20. 20. Torrone E.A., et al., Prevalence of sexually transmitted infections and bacterial vaginosis among women in sub-Saharan Africa: an individual participant data meta-analysis of 18 HIV prevention studies. PLoS Medicine, 2018. 15(2): p. 1–38.
  21. 21. Johnson L.F., et al., The role of sexually transmitted infections in the evolution of the South African HIV epidemic. Tropical Medicine & International Health, 2012. 17(2): p. 161–168. pmid:22035250
  22. 22. ICO/IARC Information Centre on HPV and Cancer. Human Papillomavirus and Related Cancers, Fact Sheet 2023. 2023: United States of America.
  23. 23. Pinheiro M., et al., Association of HPV35 with cervical carcinogenesis among women of African ancestry: evidence of viral‐host interaction with implications for disease intervention. International Journal of Cancer, 2020. 147(10): p. 2677–2686. pmid:32363580
  24. 24. Denny L., et al., Human papillomavirus prevalence and type distribution in invasive cervical cancer in sub‐Saharan Africa. International Journal of Cancer, 2014. 134(6): p. 1389–1398. pmid:23929250
  25. 25. Mbulawa Z.Z., et al., High human papillomavirus (HPV)-35 prevalence among South African women with cervical intraepithelial neoplasia warrants attention. PloS One, 2022. 17(3): p. 1–14. pmid:35263376
  26. 26. De Martel C., et al., Worldwide burden of cancer attributable to HPV by site, country and HPV type. International Journal of Cancer, 2017. 141(4): p. 664–670. pmid:28369882
  27. 27. WHO, One-dose Human Papillomavirus (HPV) vaccine offers solid protection against cervical cancer. 2022.
  28. 28. Wira C.R., Rodriguez-Garcia M., and Patel M.V., The role of sex hormones in immune protection of the female reproductive tract. Nature Reviews Immunology, 2015. 15(4): p. 217–230. pmid:25743222
  29. 29. Ntuli L., et al., Role of immunity and vaginal microbiome in clearance and persistence of human papillomavirus infection. Frontiers in Cellular and Infection Microbiology, 2022: p. 1–10. pmid:35873158
  30. 30. Lee M.-Y. and Shen M.-R., Epithelial-mesenchymal transition in cervical carcinoma. American Journal of Translational Research, 2012. 4(1): p. 1–13. pmid:22347518
  31. 31. Egeblad M. and Werb Z., New functions for the matrix metalloproteinases in cancer progression. Nature Reviews Cancer, 2002. 2(3): p. 161–174. pmid:11990853
  32. 32. Cardeal L.B.d.S., et al., Higher expression and activity of metalloproteinases in human cervical carcinoma cell lines is associated with HPV presence. Biochemistry and Cell Biology, 2006. 84(5): p. 713–719. pmid:17167534
  33. 33. Smola-Hess S., et al., Expression of membrane type 1 matrix metalloproteinase in papillomavirus-positive cells: role of the human papillomavirus (HPV) 16 and HPV8 E7 gene products. Journal of General Virology, 2005. 86(5): p. 1291–1296. pmid:15831939
  34. 34. Zhu D., Ye M., and Zhang W., E6/E7 oncoproteins of high risk HPV-16 upregulate MT1-MMP, MMP-2 and MMP-9 and promote the migration of cervical cancer cells. International Journal of Clinical and Experimental Pathology, 2015. 8(5): p. 4981–4989. pmid:26191191
  35. 35. Hadler-Olsen E., Winberg J.-O., and Uhlin-Hansen L., Matrix metalloproteinases in cancer: their value as diagnostic and prognostic markers and therapeutic targets. Tumor Biology, 2013. 34: p. 2041–2051. pmid:23681802
  36. 36. Mustafa S., Koran S., and AlOmair L., Insights into the Role of Matrix Metalloproteinases in Cancer and its Various Therapeutic Aspects: A Review. Frontiers in Molecular Biosciences, 2022. 9: p. 1–10. pmid:36250005
  37. 37. Garrett N.J., et al., Beyond syndromic management: opportunities for diagnosis-based treatment of sexually transmitted infections in low-and middle-income countries. PloS One, 2018. 13(4): p. 1–13. pmid:29689080
  38. 38. Mtshali A., et al., Temporal changes in vaginal microbiota and genital tract cytokines among South African women treated for bacterial vaginosis. Frontiers in Immunology, 2021. 12: p. 1–13. pmid:34594336
  39. 39. Nugent R.P., Krohn M.A., and Hillier S.L., Reliability of diagnosing bacterial vaginosis is improved by a standardized method of gram stain interpretation. Journal of Clinical Microbiology, 1991. 29(2): p. 297–301. pmid:1706728
  40. 40. Lin W., et al., The prevalence of human papillomavirus and bacterial vaginosis among young women in China: a cross-sectional study. BMC Women’s Health, 2021. 21(1): p. 1–10.
  41. 41. Kim H.-S., et al., Associations between sexually transmitted infections, high-risk human papillomavirus infection, and abnormal cervical Pap smear results in OB/GYN outpatients. Journal of Gynecologic Oncology, 2016. 27(5). pmid:27329197
  42. 42. Ebrahim S., et al., High burden of human papillomavirus (HPV) infection among young women in KwaZulu-Natal, South Africa. PloS One, 2016. 11(1): p. 1–10. pmid:26785408
  43. 43. Onywera H., et al., Microbiological Determinants of Genital HPV Infections among Adolescent Girls and Young Women Warrant the Need for Targeted Policy Interventions to Reduce HPV Risk. Frontiers in Reproductive Health, 2022. 4: p. 1–17.
  44. 44. Richter K., et al., Age-specific prevalence of cervical human papillomavirus infection and cytological abnormalities in women in Gauteng Province, South Africa. South African Medical Journal, 2013. 103(5): p. 313–317. pmid:23971121
  45. 45. Ginindza T.G., et al., Prevalence of and associated risk factors for high risk human papillomavirus among sexually active women, Swaziland. PloS One, 2017. 12(1): p. 1–18. pmid:28114325
  46. 46. Taku O., et al., Human papillomavirus prevalence and risk factors among HIV-negative and HIV-positive women residing in rural Eastern Cape, South Africa. International Journal of Infectious Diseases, 2020. 95: p. 176–182. pmid:32114194
  47. 47. McDonald A.C., et al., Distribution of human papillomavirus genotypes among HIV-positive and HIV-negative women in Cape Town, South Africa. Frontiers in Oncology, 2014. 13(2): p. 1–3.
  48. 48. Mbulawa Z.Z., et al., High human papillomavirus prevalence among females attending high school in the Eastern Cape Province of South Africa. PLoS One, 2021. 16(6): p. 1–15.
  49. 49. Di Pietro M., et al., HPV/Chlamydia trachomatis co-infection: metagenomic analysis of cervical microbiota in asymptomatic women. New Microbiologica, 2018. 41(1): p. 34–41. pmid:29313867
  50. 50. Anahtar M.N., et al., Cervicovaginal bacteria are a major modulator of host inflammatory responses in the female genital tract. Immunity, 2015. 42(5): p. 965–976. pmid:25992865
  51. 51. Borgdorff H., et al., The association between ethnicity and vaginal microbiota composition in Amsterdam, the Netherlands. PLoS One, 2017. 12(7): p. 1–17. pmid:28700747
  52. 52. Liang Y., et al., A meta-analysis of the relationship between vaginal microecology, human papillomavirus infection and cervical intraepithelial neoplasia. Infectious Agents and Cancer, 2019. 14(1): p. 1–8.
  53. 53. Dareng E.O., et al., Vaginal microbiota diversity and paucity of Lactobacillus species are associated with persistent hrHPV infection in HIV negative but not in HIV positive women. Scientific Reports, 2020. 10(1): p. 19095. pmid:33154533
  54. 54. Brotman R.M., et al., Interplay between the temporal dynamics of the vaginal microbiota and human papillomavirus detection. The Journal of Infectious Diseases, 2014. 210(11): p. 1723–1733. pmid:24943724
  55. 55. Berggrund M., et al., Temporal changes in the vaginal microbiota in self-samples and its association with persistent HPV16 infection and CIN2+. Virology journal, 2020. 17: p. 1–9.
  56. 56. Godoy-Vitorino F., et al., Cervicovaginal fungi and bacteria associated with cervical intraepithelial neoplasia and high-risk human papillomavirus infections in a hispanic population. Frontiers in microbiology, 2018. 9: p. 2533. pmid:30405584
  57. 57. Zevin A.S., et al., Microbiome composition and function drives wound-healing impairment in the female genital tract. PLoS Pathogens, 2016. 12(9): p. 1–20. pmid:27656899
  58. 58. Li Y., et al., Matrix metalloproteinase-9 is a prognostic marker for patients with cervical cancer. Medical Oncology, 2012. 29: p. 3394–3399. pmid:22752570
  59. 59. Mendonca F., et al., Human Papillomavirus Modulates Matrix Metalloproteinases During Carcinogenesis: Clinical Significance and Role of Viral Oncoproteins. In vivo, 2022. 36(6): p. 2531–2541. pmid:36309355
  60. 60. Herbster S., et al., Alterations in the expression and activity of extracellular matrix components in HPV-associated infections and diseases. Clinics, 2018. 73. pmid:30208169
  61. 61. Zhang G., et al., Matrix metalloproteinase-10 promotes tumor progression through regulation of angiogenic and apoptotic pathways in cervical tumors. BMC Cancer, 2014. 14(1): p. 1–14. pmid:24885595