Evaluation of the association between the concentrations of key vaginal bacteria and the increased risk of HIV acquisition in African women from five cohorts: a nested case-control study

Abstract

Background: Disruptions of vaginal microbiota might increase women's susceptibility to HIV infection. Advances in molecular microbiology have enabled detailed examination of associations between vaginal bacteria and HIV acquisition. Therefore, this study aimed to evaluate the association between the concentrations of specific vaginal bacteria and increased risk of HIV acquisition in African women.

Methods: We did a nested case-control study of participants from eastern and southern Africa. Data from five cohorts of African women (female sex workers, pregnant and post-partum women, and women in serodiscordant relationships) were used to form a nested case-control analysis between women who acquired HIV infection versus those who remained seronegative. Deep sequence analysis of broad-range 16S rRNA gene PCR products was applied to a subset of 55 cases and 55 controls. From these data, 20 taxa were selected for bacterium-specific real-time PCR assays, which were examined in the full cohort as a four-category exposure (undetectable, first tertile, second tertile, and third tertile of concentrations). Conditional logistic regression was used to generate odds ratios (ORs) and 95% CIs. Regression models were stratified by cohort, and adjusted ORs (aORs) were generated from a multivariable model controlling for confounding variables. The Shannon Diversity Index was used to measure bacterial diversity. The primary analyses were the associations between bacterial concentrations and risk of HIV acquisition.

Findings: Between November, 2004, and August, 2014, we identified 87 women who acquired HIV infection (cases) and 262 controls who did not acquire HIV infection. Vaginal bacterial community diversity was higher in women who acquired HIV infection (median 1·3, IQR 0·4-2·3) than in seronegative controls (0·7, 0·1-1·5; p=0·03). Seven of the 20 taxa showed significant concentration-dependent associations with increased odds of HIV acquisition: Parvimonas species type 1 (first tertile aOR 1·67, 95% CI 0·61-4·57; second tertile 3·01, 1·13-7·99; third tertile 4·64, 1·73-12·46; p=0·005) and type 2 (first tertile 3·52, 1·63-7·61; second tertile 0·85, 0·36-2·02; third tertile 2·18, 1·01-4·72; p=0·004), Gemella asaccharolytica (first tertile 2·09, 1·01-4·36; second tertile 2·02, 0·98-4·17; third tertile 3·03, 1·46-6·30; p=0·010), Mycoplasma hominis (first tertile 1·46, 0·69-3·11; second tertile 1·40, 0·66-2·98; third tertile 2·76, 1·36-5·63; p=0·048), Leptotrichia/Sneathia (first tertile 2·04, 1·02-4·10; second tertile 1·45, 0·70-3·00; third tertile 2·59, 1·26-5·34; p=0·046), Eggerthella species type 1 (first tertile 1·79, 0·88-3·64; second tertile 2·62, 1·31-5·22; third tertile 1·53, 0·72-3·28; p=0·041), and vaginal Megasphaera species (first tertile 3·15, 1·45-6·81; second tertile 1·43, 0·65-3·14; third tertile 1·32, 0·57-3·05; p=0·038).

Interpretation: Differences in the vaginal microbial diversity and concentrations of key bacteria were associated with greater risk of HIV acquisition in women. Defining vaginal bacterial taxa associated with HIV risk could point to mechanisms that influence HIV susceptibility and provide important targets for future prevention research.

Funding: National Institute of Child Health and Human Development.

Figure 1:. Forest plot showing point estimate and 95% confidence interval for the association between the highest bacterial quantile and HIV acquisition for each of 20 bacterial taxa

BVAB2, bacterial vaginosis associated bacterium 2; spp., species. Each bacterial taxon was analyzed using conditional logistic regression in a multivariable model as a four category variable including undetectable, first tertile, second tertile and third tertile with one exception. Prevotella genus was modeled as four quartiles as it had few samples with bacterial DNA levels that were not detected. This plot shows the association between the highest quantile of bacterial concentration and HIV acquisition for each taxon. Adjusted odds ratios with 95% confidence intervals are shown. Bacteria that showed a significant concentration-dependent association with HIV acquisition after adjustment for potential confounding factors are shown in black, with point estimates illustrated by circles. Those bacteria that did not show an overall concentration-dependent association with HIV acquisition across the four quantiles are shown in grey, with point estimates shown as diamonds.

Figure 2:. Heat map illustrating Spearman’s correlation for quantity of 20 bacterial taxa in the cohort of 349 women from eastern and southern Africa

BVAB2, bacterial vaginosis associated bacterium 2; sp., species.