Evidence map›Paper›PMID 25312507›Full record

ArticleExperimental animals2015

Identification of causative pathogens in mouse eyes with bacterial keratitis by sequence analysis of 16S rDNA libraries.

Hong-Yan Song, Bao-Feng Qiu, Chun Liu, Shun-Xing Zhu, Sheng-Cun Wang, Jin Miao, Jing Jing, Yi-Xiang Shao

Open access · bronzeAbstract read
In one paragraph

Article in Experimental animals, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Poloxamer and Chitosan-BasedTurkish journal of pharmaceutical sciences · 2022
    Article
  4. Article
  5. 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

8 authors at 2 institutions in 1 country.

Hong-Yan SongLaboratory Animal Center of Nantong University, No. 19 Qixiu Road, Chongchuan District, Nantong, Jiangsu 226001, P. R. China.
Bao-Feng Qiu
Chun Liu
Shun-Xing Zhu
Sheng-Cun Wang
Jin Miao
Jing Jing
Yi-Xiang Shao
Nantong University · CNZhejiang Entry-Exit Inspection and Quarantine Bureau · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clone library method using PCR amplification of the 16S ribosomal RNA (rRNA) gene was used to identify pathogens from corneal scrapings of C57BL/6-corneal opacity (B6-Co) mice with bacterial keratitis. All 10 samples from the eyes with bacterial keratitis showed positive PCR results. All 10 samples from the normal cornea showed negative PCR results. In all 10 PCR-positive samples, the predominant and second most predominant species accounted for 20.9 to 40.6% and 14.7 to 26.1%, respectively, of each clone library. The predominant species were Staphylococcus lentus, Pseudomonas aeruginosa, and Staphylococcus epidermidis. The microbiota analysis detected a diverse group of microbiota in the eyes of B6-Co mice with bacterial keratitis and showed that the causative pathogens could be determined based on percentages of bacterial species in the clone libraries. The bacterial species detected in this study were mostly in accordance with results of studies on clinical bacterial keratitis in human eyes. Based on the results of our previous studies and this study, the B6-Co mouse should be considered a favorable model for studying bacterial keratitis.

Indexed as

Disease Models, AnimalGene LibraryPseudomonas InfectionsStaphylococcal InfectionsAnimalsFemaleKeratitisMaleMice, Inbred C57BLMice, Mutant StrainsNucleic Acid Amplification TechniquesPolymerase Chain ReactionPseudomonas aeruginosaRNA, BacterialRNA, Ribosomal, 16SSequence AnalysisRNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID25312507
PMCPMC4329515
OpenAlexW2078132510

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.