Evidence map›Paper›PMID 29572457›Full record

ArticleScientific reports2018

Chitosan and cloxacillin combination improve antibiotic efficacy against different lifestyle of coagulase-negative Staphylococcus isolates from chronic bovine mastitis.

María L Breser, Verónica Felipe, Luciana P Bohl, María S Orellano, Paula Isaac, Agustín Conesa, Virginia E Rivero, Silvia G Correa, Ismael D Bianco, Carina Porporatto

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 42 citations in OpenAlex.

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  12. Regulation ofPharmaceutics · 2023
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  19. Inhibition of Drug Resistance ofPolish journal of microbiology · 2019
    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

10 authors at 3 institutions in 1 country.

María L BreserCentro de Investigación y Transferencia (CIT-CONICET), Universidad Nacional de Villa María, Arturo Jauretche 1555, Ciudad Universitaria, Villa María, Argentina.
Verónica FelipeInstituto A.P. de Ciencias Básicas y Aplicadas, Universidad Nacional de Villa María, Arturo Jauretche 1555, Ciudad Universitaria, Villa María, Argentina.
Luciana P BohlCentro de Investigación y Transferencia (CIT-CONICET), Universidad Nacional de Villa María, Arturo Jauretche 1555, Ciudad Universitaria, Villa María, Argentina.
María S OrellanoCentro de Investigación y Transferencia (CIT-CONICET), Universidad Nacional de Villa María, Arturo Jauretche 1555, Ciudad Universitaria, Villa María, Argentina.
Paula IsaacCentro de Investigación y Transferencia (CIT-CONICET), Universidad Nacional de Villa María, Arturo Jauretche 1555, Ciudad Universitaria, Villa María, Argentina.
Agustín ConesaCentro de Investigación y Transferencia (CIT-CONICET), Universidad Nacional de Villa María, Arturo Jauretche 1555, Ciudad Universitaria, Villa María, Argentina.
Virginia E RiveroCentro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI-CONICET), Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
Silvia G CorreaCentro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI-CONICET), Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
Ismael D BiancoCentro de Excelencia en Productos y Procesos de Córdoba (CEPROCOR), Ministerio de Industria, Comercio, Minería y Desarrollo Científico Tecnológico, Córdoba, Argentina.
Carina PorporattoCentro de Investigación y Transferencia (CIT-CONICET), Universidad Nacional de Villa María, Arturo Jauretche 1555, Ciudad Universitaria, Villa María, Argentina. cporporatto@unvm.edu.ar.ORCID 0000-0002-8874-3305
Consejo Nacional de Investigaciones Científicas y Técnicas · ARNational University of Villa María · ARCentro de Excelencia en Procesos y Productos de Córdoba · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine mastitis affects the health of dairy cows and the profitability of herds worldwide. Coagulase-negative staphylococci (CNS) are the most frequently isolated pathogens in bovine intramammary infection. Based on the wide range of antimicrobial, mucoadhesive and immunostimulant properties demonstrated by chitosan, we have evaluated therapy efficiency of chitosan incorporation to cloxacillin antibiotic as well as its effect against different bacterial lifestyles of seven CNS isolates from chronic intramammary infections. The therapeutic effects of combinations were evaluated on planktonic cultures, bacterial biofilms and intracellular growth in mammary epithelial cells. We found that biofilms and intracellular growth forms offered a strong protection against antibiotic therapy. On the other hand, we found that chitosan addition to cloxacillin efficiently reduced the antibiotic concentration necessary for bacterial killing in different lifestyle. Remarkably, the combined treatment was not only able to inhibit bacterial biofilm establishment and increase preformed biofilm eradication, but it also reduced intracellular bacterial viability while it increased IL-6 secretion by infected epithelial cells. These findings provide a new approach to prophylactic drying therapy that could help to improve conventional antimicrobial treatment against different forms of bacterial growth in an efficient, safer and greener manner reducing multiresistant bacteria generation and spread.

Indexed as

AnimalsAnti-Bacterial AgentsBiofilmsCattleChitosanCloxacillinFemaleMastitis, BovineMicrobial Sensitivity TestsStaphylococcal InfectionsStaphylococcusAnti-Bacterial AgentsChitosanCloxacillin

Identifiers

PMID29572457
PMCPMC5865155
OpenAlexW2806089694

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.