Evidence map›Paper›PMID 30723162›Full record

ArticleThe Journal of biological chemistry2019

Identification and characterization of NanH2 and NanH3, enzymes responsible for sialidase activity in the vaginal bacterium

Lloyd S Robinson, Jane Schwebke, Warren G Lewis, Amanda L Lewis

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
5.6field-weighted citation impact, top 3% 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, 70 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. The VaginalMicroorganisms · 2026
    Article
  5. Further dissection ofInternational journal of systematic and evolutionary microbiology · 2026
    Article
  6. Article
  7. Article
  8. Genetic transformation ofInfection and immunity · 2025
    Article
  9. Sialidases derived frombioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Article
  12. Transformation ofMicrobiology spectrum · 2025
    Article
  13. Review
  14. Article
  15. mBio · 2024
    Article
  16. Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  17. Article
  18. Article
  19. Review
  20. 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

4 authors at 2 institutions in 1 country.

Lloyd S RobinsonFrom the Departments of Molecular Microbiology and.
Jane Schwebkethe Division of Infectious Diseases, University of Alabama, Birmingham, Alabama 35294.
Warren G LewisFrom the Departments of Molecular Microbiology and.
Amanda L LewisFrom the Departments of Molecular Microbiology and allewis@wustl.edu.
Washington University in St. Louis · USUniversity of Alabama at Birmingham · US

Funding

ROLES OF SIALIDASE IN G. VAGINALIS-HOST INTERACTIONS DURING BACTERIAL VAGINOSISR01AI114635 · NIAID · WASHINGTON UNIVERSITY · PI LEWIS, AMANDA L., LEWIS, WARREN G · 2015 to 2025
$5.9M
Glycogen in Bacterial Vaginosis & How Carbohydrates Shape the Vaginal MicrobiomeR01AI127554 · NIAID · WASHINGTON UNIVERSITY · PI LEWIS, WARREN G · 2017 to 2021
$1.9M
NIAID NIH HHS R01 AI114635NIAID NIH HHS R01 AI127554
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Bacterial ProteinsGardnerella vaginalisNeuraminidaseVaginosis, BacterialFemaleHumansN-Acetylneuraminic AcidSubstrate SpecificityBacterial ProteinsN-Acetylneuraminic AcidNeuraminidaseBacterial vaginosisenzyme catalysisGardnerella vaginalisglycoside hydrolase family 33recombinant protein expressionsialic acidsialidasevirulence

Identifiers

PMID30723162
PMCPMC6462536
OpenAlexW2913485648

What OpenQuestion holds

Textmetadata
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.