Evidence map›Paper›PMID 40257423›Full record

ArticleVeterinary medicine and science2025

Evaluation of Antibacterial Activity of Trichilia dregeana Sond. (Meliaceae) Methanolic Extract Against Gram-Positive and Gram-Negative Bacteria.

Tesfa Mossie, Temesgen Kassa, Beksisa Urge

Abstract read
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Article in Veterinary medicine and science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

3 authors.

Tesfa MossieEthiopian Institute of Agricultural Research, Jimma Research Center, Addis Ababa, Ethiopia.ORCID 0000-0003-1799-8770
Temesgen KassaEthiopian Institute of Agricultural Research, Holeta Research Center, Addis Ababa, Ethiopia.ORCID 0000-0002-8006-624X
Beksisa UrgeEthiopian Institute of Agricultural Research, Holeta Research Center, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medicinal plants have been playing a crucial role in drug discovery and development against infectious diseases. The antibacterial activity of methanolic crude extract of traditionally used Trichilia dregeana Sond. was evaluated against common bacterial pathogens. Agar well diffusion and broth dilution assays were used to evaluate the antimicrobial activity and minimum inhibitory concentration (MIC) of methanolic extract. The methanolic crude extract of Trichilia dregeana Sond. showed promising antibacterial activity against all tested bacterial isolates. A significant difference (p < 0.05) was observed in terms of susceptibility among Escherichia coli, Staphylococcus aureus and Pseudomonas aeruginosa species isolates. A higher mean susceptibility or inhibition zone diameter to methanolic extract was observed in E. coli (19.6 ± 5.9 mm) and P. aeruginosa (18.4 ± 5.9 mm) compared to S. aureus isolates. Significant differences were also observed in the susceptibility of tested bacterial isolates at different concentrations of crude extract. A higher inhibition zone diameter was recorded in P. aeruginosa (27.2 ± 1.5 mm), followed by E. coli (25.2 ± 1.5 mm) and S. aureus (21.1 ± 1.4 mm) at a concentration of 100 mg/mL. A comparable inhibition zone of crude extract was observed with that of the positive control at a 100 mg/mL concentration against S. aureus and E. coli isolates. The findings indicated that bacterial growth inhibition increased as the concentration of the crude extract increased. All tested pathogenic bacterial species (Gram-positive and Gram-negative) were susceptible to plant leaf extract, even at lower levels of concentration. This showed the broad-spectrum activity of the plant extract against both Gram-positive and Gram-negative bacteria. The methanolic extract of plants is an effective antibacterial agent to treat bacterial infections since the extract showed significant antibacterial potency, comparable with that of the standard antibiotic disc. The findings are promising and encourage further investigation on the phytochemical, toxicological and pharmacological aspects of the crude extract to support their potential rational use in antimicrobial therapy.

Indexed as

Anti-Bacterial AgentsGram-Negative BacteriaGram-Positive BacteriaMeliaceaePlant ExtractsMicrobial Sensitivity TestsAnti-Bacterial AgentsPlant Extractsantibacterial activityisolatesmethanolic extractMICTrichilia dregeana Sond

Identifiers

PMID40257423
PMCPMC12010763

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LicenceCC BY-NC-ND
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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.