Evidence map›Paper›PMID 22199109›Full record

ArticleThe Indian journal of medical research2011

Non invasive real-time monitoring of bacterial infection & therapeutic effect of anti-microbials in five mouse models.

Tarani Kanta Barman, Madhvi Rao, Ashish Bhati, Krishna Kishore, Gunjan Shukla, Manoj Kumar, Tarun Mathur, Manisha Pandya, Dilip J Upadhyay

Open access · diamondAbstract read
In one paragraph

Article in The Indian journal of medical research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Azithromycin Exhibits Activity AgainstFrontiers in microbiology · 2021
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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

9 authors.

Tarani Kanta BarmanDepartment of Infectious Diseases, New Drug Discovery Research, Ranbaxy Research Laboratories, Gurgaon, India. tarani.barman.ud@dsin.co.in
Madhvi Rao
Ashish Bhati
Krishna Kishore
Gunjan Shukla
Manoj Kumar
Tarun Mathur
Manisha Pandya
Dilip J Upadhyay

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

objectivesIn vivo imaging system has contributed significantly to the understanding of bacterial infection and efficacy of drugs in animal model. We report five rapid, reproducible, and non invasive murine pulmonary infection, skin and soft tissue infection, sepsis, and meningitis models using Xenogen bioluminescent strains and specialized in vivo imaging system (IVIS).

methodsThe progression of bacterial infection in different target organs was evaluated by the photon intensity and target organ bacterial counts. Genetically engineered bioluminescent bacterial strains viz. Staphylococcus aureus Xen 8.1, 29 and 31; Streptococcus pneumoniae Xen 9 and 10 and Pseudomonas aeruginosa Xen-5 were used to induce different target organs infection and were validated with commercially available antibiotics.

resultsThe lower limit of detection of colony forming unit (cfu) was 1.7-log10 whereas the lower limit of detection of relative light unit (RLU) was 4.2-log10 . Recovery of live bacteria from different target organs showed that the bioluminescent signal correlated to the live bacterial count. INTERPRETATION &

conclusionsThis study demonstrated the real time monitoring and non-invasive analysis of progression of infection and pharmacological efficacy of drugs. These models may be useful for pre-clinical discovery of new antibiotics.

Indexed as

AnimalsAnti-Bacterial AgentsAnti-Infective AgentsBacterial InfectionsDisease Models, AnimalGenes, SyntheticHumansLuminescent MeasurementsLungMeningitisMicePseudomonas aeruginosaSepsisSkinSoft Tissue InfectionsStaphylococcus aureusAnti-Bacterial AgentsAnti-Infective Agents

Identifiers

PMID22199109
PMCPMC3249968
OpenAlexW2123394668

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.