Evidence map›Paper›PMID 34131152›Full record

ArticleNPJ biofilms and microbiomes2021

Proteome-wide prediction of bacterial carbohydrate-binding proteins as a tool for understanding commensal and pathogen colonisation of the vaginal microbiome.

François Bonnardel, Stuart M Haslam, Anne Dell, Ten Feizi, Yan Liu, Virginia Tajadura-Ortega, Yukie Akune, Lynne Sykes, Phillip R Bennett, David A MacIntyre and 2 more

Open access · goldAbstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Microbial Lectin-Targeting Mucus: A Glycobioinformatic Approach.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  7. Influence of cervicovaginal microbiota onMicrobial cell (Graz, Austria) · 2025
    Review
  8. Article
  9. Chemical biology tools to probe bacterial glycans.Current opinion in chemical biology · 2024
    Review
  10. Review
  11. Infection and immunity · 2023
    Review
  12. Article
  13. Article
  14. Article
  15. Microbiome research reports · 2022
    Article
  16. LectinOracle: A Generalizable Deep Learning Model for Lectin-Glycan Binding Prediction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  17. Article
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

12 authors at 5 institutions in 3 countries.

François BonnardelUniversity Grenoble Alpes, CNRS, CERMAV, Grenoble, France.
Stuart M HaslamDepartment of Life Sciences, Imperial College London, London, UK.ORCID 0000-0002-5563-679X
Anne DellDepartment of Life Sciences, Imperial College London, London, UK.
Ten FeiziMarch of Dimes European Prematurity Research Centre, Imperial College London, London, UK.
Yan LiuMarch of Dimes European Prematurity Research Centre, Imperial College London, London, UK.
Virginia Tajadura-OrtegaMarch of Dimes European Prematurity Research Centre, Imperial College London, London, UK.
Yukie AkuneGlycosciences Laboratory, Department of Metabolism Digestion and Reproduction, Imperial College London, London, UK.
Lynne SykesMarch of Dimes European Prematurity Research Centre, Imperial College London, London, UK.ORCID 0000-0002-7806-5707
Phillip R BennettMarch of Dimes European Prematurity Research Centre, Imperial College London, London, UK.ORCID 0000-0002-6253-4919
David A MacIntyreMarch of Dimes European Prematurity Research Centre, Imperial College London, London, UK. d.macintyre@imperial.ac.uk.ORCID 0000-0002-4186-5567
Frédérique LisacekSwiss Institute of Bioinformatics, Geneva, Switzerland. frederique.lisacek@sib.swiss.
Anne ImbertyUniversity Grenoble Alpes, CNRS, CERMAV, Grenoble, France. anne.imberty@cermav.cnrs.fr.ORCID 0000-0001-6825-9527
Imperial College London · GBImperial College Healthcare NHS Trust · GBUniversity of Geneva · CHCentre National de la Recherche Scientifique · FRMiscarriage Association · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteria use carbohydrate-binding proteins (CBPs), such as lectins and carbohydrate-binding modules (CBMs), to anchor to specific sugars on host surfaces. CBPs in the gut microbiome are well studied, but their roles in the vagina microbiome and involvement in sexually transmitted infections, cervical cancer and preterm birth are largely unknown. We established a classification system for lectins and designed Hidden Markov Model (HMM) profiles for data mining of bacterial genomes, resulting in identification of >100,000 predicted bacterial lectins available at unilectin.eu/bacteria. Genome screening of 90 isolates from 21 vaginal bacterial species shows that those associated with infection and inflammation produce a larger CBPs repertoire, thus enabling them to potentially bind a wider array of glycans in the vagina. Both the number of predicted bacterial CBPs and their specificities correlated with pathogenicity. This study provides new insights into potential mechanisms of colonisation by commensals and potential pathogens of the reproductive tract that underpin health and disease states.

Indexed as

ProteomeProteomicsBacteriaBacterial ProteinsCarrier ProteinsComputational BiologyFemaleHumansLectinsMicrobiotaVaginaVaginosis, BacterialBacterial ProteinsCarrier ProteinsLectinsProteome

Identifiers

PMID34131152
PMCPMC8206207
OpenAlexW3172906132

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.