Evidence map›Paper›PMID 27107961›Full record

ArticleBMC infectious diseases2016

Molecular assessment of bacterial vaginosis by Lactobacillus abundance and species diversity.

Joke A M Dols, Douwe Molenaar, Jannie J van der Helm, Martien P M Caspers, Alie de Kat Angelino-Bart, Frank H J Schuren, Adrianus G C L Speksnijder, Hans V Westerhoff, Jan Hendrik Richardus, Mathilde E Boon and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
8.9field-weighted citation impact, top 2% 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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 92 citations in OpenAlex.

  1. Pooled it
  2. Guideline
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  16. Article
  17. Nutrients · 2023
    Article
  18. Optimal sampling and analysis methods for clinical diagnostics of vaginal microbiome.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2023
    Article
  19. Endometriosis and dysbiosis: State of art.Frontiers in endocrinology · 2023
    Review
  20. The Role of the Human Microbiome in the Pathogenesis of Pain.International journal of molecular sciences · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 7 institutions in 3 countries.

Joke A M DolsMolecular Cell Physiology, Faculty of Earth and Life Sciences, VU University, Amsterdam, The Netherlands.
Douwe MolenaarMolecular Cell Physiology, Faculty of Earth and Life Sciences, VU University, Amsterdam, The Netherlands.
Jannie J van der HelmSTI Outpatient Clinic, Public Health Service of Amsterdam (GGD Amsterdam), Amsterdam, The Netherlands.
Martien P M CaspersNetherlands Organisation for Applied Scientific Research (TNO), Microbiology and Systems Biology, Utrechtseweg 48, 3704HE, Zeist, The Netherlands.
Alie de Kat Angelino-BartNetherlands Organisation for Applied Scientific Research (TNO), Microbiology and Systems Biology, Utrechtseweg 48, 3704HE, Zeist, The Netherlands.
Frank H J SchurenNetherlands Organisation for Applied Scientific Research (TNO), Microbiology and Systems Biology, Utrechtseweg 48, 3704HE, Zeist, The Netherlands.
Adrianus G C L SpeksnijderSTI Outpatient Clinic, Public Health Service of Amsterdam (GGD Amsterdam), Amsterdam, The Netherlands.
Hans V WesterhoffMolecular Cell Physiology, Faculty of Earth and Life Sciences, VU University, Amsterdam, The Netherlands.
Jan Hendrik RichardusDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Mathilde E BoonLeiden Cytology and Pathology Laboratory, Leiden, The Netherlands.
Gregor ReidCanadian Center for Human Microbiome and Probiotic Research, Lawson Health Research Institute, London, Ontorio, Canada; Department of Microbiology and Immunology, Division of Urology, Department of Surgery, Western University, London, Ontario, Canada.
Henry J C de VriesSTI Outpatient Clinic, Public Health Service of Amsterdam (GGD Amsterdam), Amsterdam, The Netherlands.
Remco KortMolecular Cell Physiology, Faculty of Earth and Life Sciences, VU University, Amsterdam, The Netherlands. remco.kort@tno.nl.
Netherlands Organisation for Applied Scientific Research · NLErasmus MC · NLGGD Amsterdam · NLAcademic Medical Center · NLLawson Health Research Institute · CALeiden University · NLUniversity of Amsterdam · NL

Funding

Biotechnology and Biological Sciences Research Council BB/C008219/1Biotechnology and Biological Sciences Research Council BB/D019079/1Biotechnology and Biological Sciences Research Council BB/F003528/1Biotechnology and Biological Sciences Research Council BB/F003536/1Biotechnology and Biological Sciences Research Council BB/F003544/1Biotechnology and Biological Sciences Research Council BB/F003552/1Biotechnology and Biological Sciences Research Council BB/I004688/1Biotechnology and Biological Sciences Research Council BB/I004696/1Biotechnology and Biological Sciences Research Council BB/I00470X/1
6 · The paper itself

Abstract

backgroundTo date, women are most often diagnosed with bacterial vaginosis (BV) using microscopy based Nugent scoring or Amsel criteria. However, the accuracy is less than optimal. The aim of the present study was to confirm the identity of known BV-associated composition profiles and evaluate indicators for BV using three molecular methods.

methodsEvaluation of indicators for BV was carried out by 16S rRNA amplicon sequencing of the V5-V7 region, a tailor-made 16S rRNA oligonucleotide-based microarray, and a PCR-based profiling technique termed IS-profiling, which is based on fragment variability of the 16S-23S rRNA intergenic spacer region. An inventory of vaginal bacterial species was obtained from 40 females attending a Dutch sexually transmitted infection outpatient clinic, of which 20 diagnosed with BV (Nugent score 7-10), and 20 BV negative (Nugent score 0-3).

resultsAnalysis of the bacterial communities by 16S rRNA amplicon sequencing revealed two clusters in the BV negative women, dominated by either Lactobacillus iners or Lactobacillus crispatus and three distinct clusters in the BV positive women. In the former, there was a virtually complete, negative correlation between L. crispatus and L. iners. BV positive subjects showed cluster profiles that were relatively high in bacterial species diversity and dominated by anaerobic species, including Gardnerella vaginalis, and those belonging to the Families of Lachnospiraceae and Leptotrichiaceae. Accordingly, the Gini-Simpson index of species diversity, and the relative abundance Lactobacillus species appeared consistent indicators for BV. Under the conditions used, only the 16S rRNA amplicon sequencing method was suitable to assess species diversity, while all three molecular composition profiling methods were able to indicate Lactobacillus abundance in the vaginal microbiota.

conclusionAn affordable and simple molecular test showing a depletion of the genus Lactobacillus in combination with an increased species diversity of vaginal microbiota could serve as an alternative and practical diagnostic method for the assessment of BV.

Indexed as

AdolescentAdultBacteriaCluster AnalysisDNA, BacterialFemaleGardnerella vaginalisHumansLactobacillusMicrobiotaMiddle AgedOligonucleotide Array Sequence AnalysisPolymerase Chain ReactionRNA, Ribosomal, 16SSequence Analysis, DNASpecies SpecificityDNA, BacterialRNA, Ribosomal, 16S16S rRNA amplicon sequencingBacterial vaginosisGardnerella vaginalisGini-Simpson indexIS-profilingLactobacillus crispatusLactobacillus inersNucleotide-based microarraysVaginal microbiota

Identifiers

PMID27107961
PMCPMC4841971
OpenAlexW2341407152

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.