Evidence map›Paper›PMID 23884123›Full record

ArticleMolecules (Basel, Switzerland)2013

In vitro antimicrobial activity of plant-derived diterpenes against bovine mastitis bacteria.

Ariana P Fonseca, Fernanda T Estrela, Thaís S Moraes, Luiza J Carneiro, Jairo K Bastos, Raquel A dos Santos, Sérgio R Ambrósio, Carlos H G Martins, Rodrigo C S Veneziani

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Deciphering the antimicrobial, antibiofilm and membrane stabilizing synergism ofBiotechnology reports (Amsterdam, Netherlands) · 2023
    Article
  7. Molecules (Basel, Switzerland) · 2022
    Article
  8. The Role ofMicroorganisms · 2021
    Review
  9. Article
  10. Review
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 at 2 institutions in 1 country.

Ariana P FonsecaNucleus of Research in Sciences and Technology, University of Franca, Armando Salles de Oliveira Road, 201, Franca 1404-600, Brazil.
Fernanda T Estrela
Thaís S Moraes
Luiza J Carneiro
Jairo K Bastos
Raquel A dos Santos
Sérgio R Ambrósio
Carlos H G Martins
Rodrigo C S Veneziani
Universidade de Franca · BRUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated the antibacterial activity of three diterpenes isolated from natural sources against a panel of microorganisms responsible for bovine mastitis. ent-Copalic acid (CA) was the most active metabolite, with promising MIC values (from 1.56 to 6.25 µg mL-1) against Staphylococcus aureus (ATCC and clinical isolate), Staphylococcus epidermidis, Streptococcus agalactiae, and Streptococcus dysgalactiae. We conducted time-kill assays of CA against S. aureus, a commensal organism considered to be a ubiquitous etiological agent of bovine mastitis in dairy farms worldwide. In the first 12 h, CA only inhibited the growth of the inoculums (bacteriostatic effect), but its bactericidal effect was clearly noted thereafter (between 12 and 24 h). In conclusion, CA should be considered for the control of several Gram-positive bacteria related to bovine mastitis.

Indexed as

AnimalsAnti-Bacterial AgentsCattleDiterpenesFemaleMastitis, BovineMikaniaPlant ExtractsStaphylococcus aureusAnti-Bacterial Agentscopalic acidDiterpenesPlant Extracts

Identifiers

PMID23884123
PMCPMC6269972
OpenAlexW2146750104

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.