| Literature DB >> 25148517 |
Janneke H H M van de Wijgert1, Hanneke Borgdorff2, Rita Verhelst3, Tania Crucitti4, Suzanna Francis5, Hans Verstraelen6, Vicky Jespers4.
Abstract
We conducted a systematic review of the Medline database (U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD, U.S.A) to determine if consistent molecular vaginal microbiota (VMB) composition patterns can be discerned after a decade of molecular testing, and to evaluate demographic, behavioral and clinical determinants of VMB compositions. Studies were eligible when published between 1 January 2008 and 15 November 2013, and if at least one molecular technique (sequencing, PCR, DNA fingerprinting, or DNA hybridization) was used to characterize the VMB. Sixty three eligible studies were identified. These studies have now conclusively shown that lactobacilli-dominated VMB are associated with a healthy vaginal micro-environment and that bacterial vaginosis (BV) is best described as a polybacterial dysbiosis. The extent of dysbiosis correlates well with Nugent score and vaginal pH but not with the other Amsel criteria. Lactobacillus crispatus is more beneficial than L. iners. Longitudinal studies have shown that a L. crispatus-dominated VMB is more likely to shift to a L. iners-dominated or mixed lactobacilli VMB than to full dysbiosis. Data on VMB determinants are scarce and inconsistent, but dysbiosis is consistently associated with HIV, human papillomavirus (HPV), and Trichomonas vaginalis infection. In contrast, vaginal colonization with Candida spp. is more common in women with a lactobacilli-dominated VMB than in women with dysbiosis. Cervicovaginal mucosal immune responses to molecular VMB compositions have not yet been properly characterized. Molecular techniques have now become more affordable, and we make a case for incorporating them into larger epidemiological studies to address knowledge gaps in etiology and pathogenesis of dysbiosis, associations of different dysbiotic states with clinical outcomes, and to evaluate interventions aimed at restoring and maintaining a lactobacilli-dominated VMB.Entities:
Mesh:
Year: 2014 PMID: 25148517 PMCID: PMC4141851 DOI: 10.1371/journal.pone.0105998
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of molecular vaginal microbiota articles published between 1 January 2008 and 15 November 2013.
| Number ofarticles | References | ||
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| 2008 | 6 | 18–23 |
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| 2009 | 11 | 24–34 |
| 2010 | 7 | 35–41 | |
| 2011 | 13 | 42–54 | |
| 2012 | 14 | 55–68 | |
| 2013 | 12 | 69–80 | |
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| USA & Canada | 31 | 19–21, 23–25, 27, 28, 30–32, 35–39, 42, 44, 49, 59–61, 64–70, 77, 78 |
| Belgium | 6 | 26, 33, 34, 54, 62, 63 | |
| Europe – other | 7 | 18, 22, 43, 55, 72, 76, 79 | |
| China | 6 | 29, 41, 47, 57, 74, 80 | |
| Asia – other | 3 | 35, 50, 71 | |
| South Africa | 4 | 45, 46, 53, 73 | |
| East Africa | 4 | 25, 40, 48, 77 | |
| West Africa | 2 | 51, 58 | |
| Central America | 3 | 52, 56, 75 | |
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| ≤10 | 4 | 28, 29, 56, 70 |
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| 11–50 | 22 | 18–20, 22, 23, 25–27, 31, 36–38, 43, 44, 48–50, 54, 59, 61, 69, 73 |
| 51–100 | 18 | 24, 30, 33, 41, 45–47, 52, 55, 57, 58, 62, 63, 65, 66, 74, 78, 80 | |
| 101–200 | 14 | 21, 32, 34, 35, 39, 40, 53, 67, 68, 71, 75–77, 79 | |
| >200 | 5 | 42, 51, 60, 64, 72 | |
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| Adults, healthy or with BV | 28 | 19, 22, 23, 26, 28, 29, 35, 36, 38, 41–43, 50, 54, 57, 59, 60, 62–64, 67, 68, 70, 72, 73, 75, 79, 80 |
| Adolescents/virgins | 3 | 24, 25, 66 | |
| Pregnant women | 7 | 33, 34, 52, 55, 58, 68, 78 | |
| Postmenopausal women | 5 | 43, 49, 55, 57, 71 | |
| STD clinic attendees | 7 | 19, 37, 38, 60, 62, 65, 76 | |
| Female sex workers | 2 | 25, 48 | |
| WSW | 3 | 21, 39, 61 | |
| By HIV status | 11 | 20, 30, 40, 44–46, 48, 51, 53, 58, 77 | |
| By HPV/cytology status | 5 | 46, 56, 66, 71, 74 | |
| Women undergoing IVF | 2 | 18, 69 | |
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| TOTAL | |
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| NGS sequencing 454 | 18 | 20, 36, 41, 42, 44, 48, 56, 58–60, 64, 65, 67, 68, 70–72, 76 |
| NGS sequencing other | 4 | 40, 49, 56, 67 | |
| Culture & sequencing | 15 | 18, 19, 23, 28, 29, 35, 50, 53, 54, 56, 57, 69, 73, 75, 78 | |
| qPCR | 19 | 21, 26, 30, 37–39, 41, 42, 47, 51, 55, 57, 61, 62, 63, 66, 77, 79, 80 | |
| Multiplex PCR | 4 | 27, 43, 51, 55 | |
| Fingerprinting | 13 | 20, 24, 31, 33–36, 41, 43, 47, 52, 55, 74 | |
| Hybridisation | 5 | 22, 25, 32, 45, 46 | |
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| Clustering of VMB | 17 | 24, 28, 31, 35, 36, 40, 42, 48, 50, 56, 58, 60, 62, 65, 71, 72, 79 |
| Improving BV diagnosis | 5 | 30, 47, 76, 79, 80 | |
| Descriptive – other | 27 | 18, 21, 24, 28, 33, 35, 38, 39, 42, 48, 51, 54–56, 59, 60, 62, 63, 66, 68–70, 72, 73, 77–79 | |
| Longitudinal VMB changes | 20 | 18, 21, 23, 25, 26, 33, 38, 39, 42, 49, 54, 56, 59, 62, 63, 66, 67, 69, 77, 78 | |
| Extravaginal reservoirs | 6 | 34, 43, 47, 55, 56, 61 | |
| VMB associations with HIV | 11 | 20, 30, 40, 44, 45, 46, 48, 51, 53, 58, 77 | |
| VMB associations with HPV | 5 | 46, 56, 66, 71, 74 | |
| VMB associations with other STIs | 4 | 51, 64, 72, 79 | |
| VMB associations with other infections | 5 | 27, 32, 47, 65 | |
| VMB associations with non-infectious reproductive health outcomes | 4 | 32, 49, 69, 78 | |
| VMB associations with immune activation | 1 | 22 | |
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BV = bacterial vaginosis; DGGE = Denaturing Gradient Gel Electrophoresis; HIV = human immunodeficiency virus; HPV = human papillomavirus; IVF = in-vitro fertilisation; LH-PCR = Length Heterogeneity PCR; NGS = next generation sequencing; qPCR = quantitative polymerase chain reaction; Randomly Amplified Polymorphic DNA (RAPD); STD clinic = sexually transmitted disease clinic; STI = sexually transmitted infection; TRLFP = Terminal Restriction Fragment Length Polymorphism; USA = United States of America; VMB = vaginal microbiota; WSW = women having sex with women.
Until 15 November 20131;
One article could include more than one category;
Europe other: Sweden (4), Greenland (1), Estonia (1), Austria (1);
Asia other: Japan (2), South Korea (1);
East Africa: Kenya (3), Tanzania (1);
West Africa: Burkina Faso (1), Ghana, Togo, Guinea and Mali (1);
Central America: Mexico (2), Costa Rica (1);
5 publications representing only 3 studies;
Genes sequenced: 16S rRNA gene V1–V2 (8), V2–V3 (2), V3 (2), V3–V5 (3), V4–V6 (2), V6 (2), V6–V9 (1), chaperonin gene (1), and not reported (1);
Fingerprinting techniques used: TRFLP (5), DGGE (5), RAPD (2), and LH-PCR (1);
Hybridisation techniques used: DNA microarray (4) and Luminex (oligonucleotides coupled to beads; 1);
Descriptive other includes effects of race/ethnicity, pregnancy, menstrual cycle, menopause, tampon/pad use, vaginal douching, sexual debut and other sexual and contraceptive behaviours;
Cervical or endometrial microbiota (3) and oral and/or rectal reservoirs (3);
Other confirmed infections: Candidiasis (2), cervicitis (1), endometritis (1), and gingivitis (1).
Vaginal microbiota communities identified by clustering techniques in 17 articles.
| Cluster | Molecular techniques | References | Total |
| Dominated by | All except qPCR | 24, 31, 35, 36, 40, 42, 50,56, 65, 71, 72 | 11 |
| Dominated by | All | 24, 31, 35, 36, 40, 42, 48,50, 56, 58, 60, 65, 71, 72, 79 | 15 |
| Dominated by | Direct sequencingand fingerprinting | 35, 42 | 2 |
| Dominated by | Direct sequencing and fingerprinting | 31, 35, 36, 42, 56 | 5 |
| Dominated by lactobacillibut unspecified | Sequencing of culture colonies | 28 | 1 |
| Dominated by lactobacillibut multiple species | All | 24, 35, 60, 62, 65 | 5 |
| Dominated by | Direct sequencing and qPCR | 40, 48, 56, 79 | 4 |
| Mixture of lactobacilliand | Direct sequencing andsequencing of culture colonies | 28, 40, 56 | 3 |
| Mixture of lactobacilli, | All except qPCR | 28, 31, 42, 48, 56, 58, 60, 65 | 8 |
| Mixed anaerobes | All | 24, 28, 35, 36, 40, 50,56, 58, 60, 62, 71, 72, 79 | 13 |
| Dominated by aerobes | Direct sequencing and fingerprinting | 35, 58, 65 | 3 |
qPCR = quantitative polymerase chain reaction.
Includes direct sequencing (next generation sequencing) of DNA extracted from vaginal samples (10), sequencing of culture colonies (2), fingerprinting (3), and qPCR (2); the 5 studies using DNA hybridisation techniques did not employ data clustering and this technique is therefore not represented in this table.
One qPCR study only assessed L. iners and the other qPCR study did not find clusters dominated by just one Lactobacillus species.
Other than Lactobacillus spp., the 25 most abundant taxa in the 10 direct sequencing studies consistently (in at least 50% of studies) include: Phylum Actinobacteria: G. vaginalis, A. vaginae, Eggerthella spp., Mobiluncus spp.; Phylum Fermicutes: Lachnospiraceae (including BVAB1-3), Dialister spp., Megasphaera spp., Parvimonas (formerly Peptostreptococcus) spp., Veillonella spp., Streptococcus spp., Staphylococcus, spp., Gemella spp.; Phylum Sfingobacteria: Prevotella spp., Porphyromonas spp., Bacteroides spp.; Phylum Fusobacteria: Sneathia spp., Leptotrichia spp.; Phylum Tenericutes: Mycoplasma spp., Ureaplasma spp.; Phylum Proteobacteria: Escherichia/Shigella spp.
Includes Streptococcus spp., Staphylococcus spp., Escherichia/Shigella spp., Proteus spp.