Table 1.
Studies using molecular techniques to examine the vaginal microbiome and HIV acquisition
| Author (Year) | Country/Region | Study Population | N (# HIV events) | Method | Main Findings | Measure of Association | Limitations |
|---|---|---|---|---|---|---|---|
| Gosmann et al (2017) [92] | South Africa | Women in Females Rising Through Education, Support, and Healthy (FRESH) Study | 236 (31) | 16S rRNA V4 gene sequencing |
|
CT3: HR 4.22 (95% CI 1.06–16.88), p=0.042 CT4: HR 4.03 (95% CI 1.14–14.27) p=0.031 |
|
| Passmore and Williams (2016) [90] | South Africa | Women in CAPRISA 004 Trial | 119 (49) | V1-V3 rDNA sequencing |
|
aOR 12.7, 95% CI 2.1–77.8, p=0.006 |
|
| McClellandet al. (2018) [78] | Eastern and Southern Africa | Female sex workers, pregnant/ postpartum, and HIV-negative women in discordant couples |
349 (87) | Broad range PCR with deep sequencing and quantitative PCR |
|
Shannon Diversity Index median 0.9, (IQR 0.4–2.3) in HIV sero-converters compared to controls with median 0.7, (IQR 0.1–1.4), p=0.03 |
|
Abbreviations: PCR: polymerase chain reaction; CT: cervicotypes; CST: community state types; aOR: adjusted odds ratio; IQR: interquartile range; HR: hazard ratio; CI: confidence interval
While CTs and CSTs both describe vaginal communities by relative abundance, the specific processes for defining these communities are different.