Evidence map›Paper›PMID 35189869›Full record

ArticleBMC complementary medicine and therapies2022

Antibacterial activities of plant leaf extracts against multi-antibiotic resistant Staphylococcus aureus associated with skin and soft tissue infections.

P A Akinduti, V Emoh-Robinson, H F Obamoh-Triumphant, Y D Obafemi, T T Banjo

Open access · goldAbstract read
In one paragraph

Article in BMC complementary medicine and therapies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  13. Antibacterial efficacy of the cassava (Journal of advanced pharmaceutical technology & research
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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

5 authors at 2 institutions in 1 country.

P A AkindutiMicrobiology Unit, Department of Biological Sciences, Covenant University, Ota, PMB 1023, Ogun State, Nigeria. paul.akinduti@covenantuniversity.edu.ng.
V Emoh-RobinsonMicrobiology Unit, Department of Biological Sciences, Covenant University, Ota, PMB 1023, Ogun State, Nigeria.
H F Obamoh-TriumphantMicrobiology Unit, Department of Biological Sciences, Covenant University, Ota, PMB 1023, Ogun State, Nigeria.
Y D ObafemiMicrobiology Unit, Department of Biological Sciences, Covenant University, Ota, PMB 1023, Ogun State, Nigeria.
T T BanjoDepartment of Microbiology, Crawford University, Igbesa, Ogun State, Nigeria.
Covenant University · NGCrawford University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe antibacterial activities of aqueous leaf extracts of Moringa oleifera, Vernonia amygdalina, Azadirachta indica and Acalypha wilkesiana against multidrug resistance (MDR) Staphylococcus aureus associated with skin and soft tissue infections were investigated.

methodsStaphylococcus aureus (n = 183) from the skin and soft tissue infections with evidence of purulent pus, effusions from aspirates, wounds, and otorrhea were biotyped, and evaluated for biofilm production. The phenotypic antibiotic resistance and MDR strains susceptibility to plant leaves extract were determined using disc diffusion and micro-broth dilution assays respectively. The correlation of plant extract bioactive components with inhibitory activities was determined.

resultsHigh occurrence rate of S. aureus were recorded among infant and adult age groups and 13.2% mild biofilm producers from the wound (p < 0.05). Of 60.2% MDR strains with overall significant MARI of more than 0.85 (p < 0.05), high resistant rates to linozidine (92.7%; 95% CI:7.27-10.52), ofloxacin (94.2%; 95% CI:6.09-8.15), chloramphenicol (91.2%; 95% CI:6.11-8.32), gentamicin (97.3%; 95% CI:6.20-8.22), ciprofloxacin (92.7%; 95% CI: 5.28-7.99) and vancomycin (86.6%; 95% CI:6.81-9.59) were observed. Vernonia amygdalina and Azadirachta indica showed significant antimicrobial activity at 100 mg/ml and 75 mg/ml, with low susceptibility of less than 10% to 25 mg/ml, 50 mg/ml, and 75 mg/ml Moringa oleifera. Alkaloids, saponin and terpenoids were significant in Moringa oleifera, Acalypha wilkesiana, Azadirachta indica and Vernonia amygdalina leaves extracts (p < 0.05). High inhibitory concentrations at IC50; 3.23, 3.75 and 4.80 mg/ml (p = 0.02, CI: - 0.08 - 11.52) and IC90; 12.9, 7.5, and 9.6 mg/ml (p = 0.028, CI: 2.72-23.38) were shown by Acalypha wilkesiana, Vernonia amygdalina and Moringa oleifera respectively. Comparative outcome of the plant extracts showed Acalypha wilkesiana, Vernonia amygdalina and Moringa oleifera to exhibit significant inhibition activities (p < 0.05) compared to other extracts. Significant median inhibitory concentration (15.3 mg/ml) of Azadirachta indica were observed (p < 0.01) and strong associations of phytochemical compounds of Azadirachta indica (eta = 0.527,p = 0.017), Vernonia amygdalina (eta = 0.123,p = 0.032) and Acalypha wilkesiana (eta = 0.492,p = 0.012) with their respective inhibitory values.

conclusionObserved high occurrence rate of skin and soft tissue infections caused by biofilm-producing MDR S. aureus requires alternative novel herbal formulations with rich bioactive compounds from Moringa oleifera, Acalypha wilkesiana, Azadirachta indica and Vernonia amygdalina as skin therapeutic agents.

Indexed as

Methicillin-Resistant Staphylococcus aureusSoft Tissue InfectionsAnti-Bacterial AgentsHumansPlant ExtractsPlant LeavesStaphylococcus aureusAnti-Bacterial AgentsPlant ExtractsAntibiotic resistanceBiofilmPlant extractsS. aureusSkin and soft tissue infections

Identifiers

PMID35189869
PMCPMC8862250
OpenAlexW4213340653

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LicenceCC BY
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Registered trials

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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.