Evidence map›Paper›PMID 16059698›Full record

ArticleMedical microbiology and immunology2006

Adhesion of Moraxella catarrhalis to human bronchial epithelium characterized by a novel fluorescence-based assay.

Hortense Slevogt, Krishna N Tiwari, Bernd Schmeck, Andreas Hocke, Bastian Opitz, Norbert Suttorp, Joachim Seybold

Abstract readComparative StudyEvaluation Study
PubMed Publisher
In one paragraph

Article in Medical microbiology and immunology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

1 citing paper in PubMed, 14 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Hortense SlevogtDepartment of Internal Medicine/Infectious Diseases, Charité - University Medicine Berlin, Augustenburger Platz 1, 13353 Berlin, Germany. hortense.slevogt@charite.de
Krishna N Tiwari
Bernd Schmeck
Andreas Hocke
Bastian Opitz
Norbert Suttorp
Joachim Seybold
Charité - Universitätsmedizin Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Moraxella catarrhalis is a major cause of infectious exacerbations of chronic obstructive lung disease. Adhesion of this pathogen to epithelial cells is critical for its pathogenicity. Although much work has been done on identifying surface molecules of M. catarrhalis as adhesins, several adhesion assays were used in these studies which has never been validated or compared to each other. In the present study, we have examined the capacity of M. catarrhalis to adhere to different human epithelial cells. By using the two most commonly used adhesion assays based on the enumeration of colony-forming units or on the counting of adherent bacteria per epithelial cell by light microscopy, we identified significant limitations of both methods. These arose either from differences in strain-specific adhesion pattern on the epithelial cell surface or the dependence on the state of confluence of the epithelial cell layer. We developed a new fluorescence-based adhesion assay and compared our results to the two conventional methods. We demonstrated that the fluorescence-based adhesion assay offers a reliable and convenient method for the quantification of M. catarrhalis adhesion to confluent epithelial cell monolayers.

Indexed as

Bacterial AdhesionBronchiCell Line, TransformedColony Count, MicrobialFluorescent Antibody Technique, IndirectHumansMicroscopy, ConfocalMoraxella catarrhalisRespiratory Mucosa

Identifiers

PMID16059698
OpenAlexW2079510091

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.