Evidence map›Paper›PMID 29396006›Full record

ArticleThe Lancet. Infectious diseases2018

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.

R Scott McClelland, Jairam R Lingappa, Sujatha Srinivasan, John Kinuthia, Grace C John-Stewart, Walter Jaoko, Barbra A Richardson, Krista Yuhas, Tina L Fiedler, Kishorchandra N Mandaliya and 7 more

Open access · greenAbstract read
In one paragraph

Article in The Lancet. Infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 178 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
178citing papers in PubMed, 2 pooled it
18.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

178 citing papers in PubMed, 2 syntheses or guidelines pooled it, 257 citations in OpenAlex.

  1. Pooled it
  2. Sexually Transmitted Infections Treatment Guidelines, 2021.MMWR. Recommendations and reports : Morbidity and mortality weekly report. Recommendations and reports · 2021
    Guideline
  3. Trial
  4. Trial
  5. Trial
  6. Vaginal microbiota stability over 18 months in young student women in France.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Trial
  7. Trial
  8. Trial
  9. Trial
  10. Trial
  11. Relationship between vitamin D status and the vaginal microbiome during pregnancy.Journal of perinatology : official journal of the California Perinatal Association · 2019
    Trial
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. The HIV Reservoir and Immune Landscape Across the Life Course of Women: Implications for Cure Strategies.American journal of reproductive immunology (New York, N.Y. : 1989) · 2026
    Review
  18. The Gut-Vagina Axis.Microorganisms · 2026
    Review
  19. Article
  20. Review

118 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 6 institutions in 2 countries.

R Scott McClellandDepartment of Medicine, University of Washington, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA; Department of Global Health, University of Washington, Seattle, WA, USA; Institute of Tropical and Infectious Diseases, University of Nairobi, Nairobi, Kenya. Electronic address: mcclell@uw.edu.
Jairam R LingappaDepartment of Medicine, University of Washington, Seattle, WA, USA; Department of Global Health, University of Washington, Seattle, WA, USA; Department of Pediatrics, University of Washington, Seattle, WA, USA.
Sujatha SrinivasanVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
John KinuthiaKenyatta National Hospital, Nairobi, Kenya.
Grace C John-StewartDepartment of Epidemiology, University of Washington, Seattle, WA, USA; Department of Global Health, University of Washington, Seattle, WA, USA.
Walter JaokoDepartment of Medical Microbiology, University of Nairobi, Nairobi, Kenya.
Barbra A RichardsonDepartment of Biostatistics, University of Washington, Seattle, WA, USA; Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Krista YuhasDepartment of Global Health, University of Washington, Seattle, WA, USA.
Tina L FiedlerVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Kishorchandra N MandaliyaDepartment of Global Health, University of Washington, Seattle, WA, USA.
Matthew M MunchVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Nelly R MugoKenya Medical Research Institute, Nairobi, Kenya.
Craig R CohenDepartment of Obstetrics, Gynecology & Reproductive Sciences, University of California at San Francisco, San Francisco, CA, USA.
Jared M BaetenDepartment of Medicine, University of Washington, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA; Department of Global Health, University of Washington, Seattle, WA, USA.
Connie CelumDepartment of Medicine, University of Washington, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA; Department of Global Health, University of Washington, Seattle, WA, USA.
Julie OverbaughPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA; Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
David N FredricksDepartment of Medicine, University of Washington, Seattle, WA, USA; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
University of Washington · USFred Hutch Cancer Center · USUniversity of Nairobi · KEKenya Medical Research Institute · KEKenyatta National Hospital · KEUniversity of California, San Francisco · US

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI CONNIE L CELUM · 1988 to 2026
$104.9M
EARLY INFECTION IN WOMEN EXPOSED MUCOSALLY TO HIV-1R37AI038518 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI OVERBAUGH, JULIE M. · 1999 to 2019
$12.9M
Vaginal Health and the Risk of HIV-1 Acquistion in Kenyan WomenP01HD064915 · NICHD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI JOHN-STEWART, GRACE C. · 2009 to 2013
$8.9M
NIAID NIH HHS P30 AI027757NIAID NIH HHS R37 AI038518NICHD NIH HHS P01 HD064915
6 · The paper itself

Abstract

backgroundDisruptions 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.

methodsWe 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.

findingsBetween 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).

interpretationDifferences 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.

fundingNational Institute of Child Health and Human Development.

Indexed as

AdultBacteriaCase-Control StudiesFemaleHIV InfectionsHumansPostpartum PeriodPregnancyRisk FactorsSex WorkersVagina

Identifiers

PMID29396006
PMCPMC6445552
OpenAlexW2784439478

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.