Evidence map›Paper›PMID 37648880›Full record

ArticleVeterinary research communications2024

Delivery of florfenicol in veterinary medicine through a PLGA-based nanodelivery system: improving its performance and overcoming some of its limitations.

Emilia Trif, Constantin Cerbu, Carlos E Astete, Sumit Libi, Emoke Pall, Septimiu Tripon, Diana Olah, Adrian Valentin Potârniche, Lucjan Witkowski, Gheorghe Florinel Brudască and 2 more

Open access · greenAbstract read
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In one paragraph

Article in Veterinary research communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

12 authors at 4 institutions in 3 countries.

Emilia TrifDepartment of Infectious Diseases, University of Agricultural Sciences and Veterinary Medicine, Cluj-Napoca, Romania.
Constantin CerbuDepartment of Infectious Diseases, University of Agricultural Sciences and Veterinary Medicine, Cluj-Napoca, Romania. constantin.cerbu@usamvcluj.ro.
Carlos E AsteteDepartment of Biological and Agricultural Engineering, Louisiana State University, Baton Rouge, LA, 70803, USA.
Sumit LibiDepartment of Biological and Agricultural Engineering, Louisiana State University, Baton Rouge, LA, 70803, USA.
Emoke PallDepartment of Infectious Diseases, University of Agricultural Sciences and Veterinary Medicine, Cluj-Napoca, Romania.
Septimiu TriponDepartment of Molecular Biology and Biotechnology, Electron Microscopy Laboratory, Biology and Geology Faculty, Babes-Bolyai University, Cluj-Napoca, Romania.
Diana OlahDepartment of Infectious Diseases, University of Agricultural Sciences and Veterinary Medicine, Cluj-Napoca, Romania.
Adrian Valentin PotârnicheDepartment of Infectious Diseases, University of Agricultural Sciences and Veterinary Medicine, Cluj-Napoca, Romania.
Lucjan WitkowskiLaboratory of Veterinary Epidemiology and Economic, Institute of Veterinary Medicine, Warsaw University of Life Sciences (SGGW), Warsaw, Poland.
Gheorghe Florinel BrudascăDepartment of Infectious Diseases, University of Agricultural Sciences and Veterinary Medicine, Cluj-Napoca, Romania.
Marina SpînuDepartment of Infectious Diseases, University of Agricultural Sciences and Veterinary Medicine, Cluj-Napoca, Romania.
Cristina M SabliovDepartment of Biological and Agricultural Engineering, Louisiana State University, Baton Rouge, LA, 70803, USA.
University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca · ROLouisiana State University · USBabeș-Bolyai University · ROWarsaw University of Life Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As is the case with other veterinary antibiotics, florfenicol (FFC) faces certain limitations, such as low solubility in water, or the fact that it is reported to interfere with the immune response after some immunoprofilactic actions in livestock. Aiming to improve its efficacy and overall performance, FFC was loaded into a polymeric nanobased delivery system by succesfully using the emulsion-evaporation technique. The poly(lactic-co-glycolic acid) (PLGA) nanoparticles loaded with FFC were characterized in terms of size (101 ± 0.52 nm), zeta potential (26.80 ± 1.30 mV) and poly-dispersity index (0.061 ± 0.019). The achieved loading was 2.24 μg FFC/mg of NPs, with an entrapment efficiency of 7.9%. The antimicrobial effect, the anti-biofilm formation and the cytotoxicity properties of the NPs were evaluated. The results indicated a MIC decreased by ~97.13% for S. aureus, 99.33% for E.coli and 64.1% for P. aeruginosa when compared to free FFC. The minimum inhibitory concentration (MIC) obtained indicated the potential for using a significantly lower dose of florfenicol. The delivery system produced biofilm inhibition while showing no cytotoxic effects when tested on porcine primary fibroblasts and horse mesenchymal stem cells. These findings suggest that florfenicol can be improved and formulations optimized for use in veterinary medicine through its incorporation into a nanobased delivery system designed to release in a controlled manner over time.

Indexed as

NanoparticlesPolyglycolic AcidAnimalsHorsesLactic AcidNanoparticle Drug Delivery SystemPolylactic Acid-Polyglycolic Acid CopolymerStaphylococcus aureusSwineThiamphenicolflorfenicolLactic AcidNanoparticle Drug Delivery SystemPolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerThiamphenicolFlorfenicolNanodelivery systemsPLGA nanoparticlesVeterinary medicine

Identifiers

PMID37648880
OpenAlexW4386279762

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.