Evidence map›Paper›PMID 20530224›Full record

ArticleAntimicrobial agents and chemotherapy2010

Evaluation of biophotonic imaging to estimate bacterial burden in mice infected with highly virulent compared to less virulent Streptococcus pneumoniae serotypes.

Stefanie Henken, Jennifer Bohling, A David Ogunniyi, James C Paton, Vyvyan C Salisbury, Tobias Welte, Ulrich A Maus

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Frontiers in microbiology · 2020
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  4. Review
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  12. Local delivery of GM-CSF protects mice from lethal pneumococcal pneumonia.Journal of immunology (Baltimore, Md. : 1950) · 2011
    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 3 institutions in 3 countries.

Stefanie HenkenDepartment of Experimental Pneumology, Hannover School of Medicine, Hannover 30625, Germany.
Jennifer Bohling
A David Ogunniyi
James C Paton
Vyvyan C Salisbury
Tobias Welte
Ulrich A Maus
University of Adelaide · AUMedizinische Hochschule Hannover · DEUniversity of the West of England · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioluminescence imaging is an innovative, noninvasive tool to analyze infectious disease progression under real-life conditions in small laboratory animals. However, the relevance of bioluminescence imaging to monitor invasive compared to noninvasive bacterial infections of the lung has not been examined so far. In the current study, we systematically evaluated the importance of bioluminescence imaging to monitor pneumococcal disease progression by correlating biophotonic signals with lung bacterial loads in two mouse strains (BALB/c, C57BL/6) infected with either self-glowing, bioluminescent serotype 19 Streptococcus pneumoniae causing focal pneumonia or serotype 2 S. pneumoniae causing invasive pneumococcal disease. The best correlations between bioluminescence signals and lung CFU counts were observed in BALB/c mice compared to C57BL/6 mice just on day 3 after infection with invasive serotype 2 S. pneumoniae, while excellent correlations between photon counts and bacterial loads were observed in isolated lungs of BALB/c and C57BL/6 mice, irrespective of the employed pneumococcal serotype. Moreover, good correlations between biophotonic signals and CFU counts were also observed in mice upon infection with serotype 19 S. pneumoniae causing focal pneumonia in mice, again with best correlation values obtained for BALB/c mice at day 3 postinfection. Collectively, we show that the relevance of biophotonic imaging to monitor S. pneumoniae-induced lung infections in mice is largely influenced by the disease model under investigation. The provided data may be important for studies of infectious diseases.

Indexed as

Disease Models, AnimalPhotonsAnimalsColony Count, MicrobialDiagnostic ImagingFemaleHumansImage Processing, Computer-AssistedLuminescent MeasurementsLungMiceMice, Inbred BALB CMice, Inbred C57BLPneumonia, PneumococcalSerotypingStreptococcus pneumoniae

Identifiers

PMID20530224
PMCPMC2916300
OpenAlexW2095608902

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.