Evidence map›Paper›PMID 35705723›Full record

ArticleAMB Express2022

Chemical characterization, antimicrobial, antioxidant, and cytotoxic potentials of Swietenia mahagoni.

Sohier M Syame, Samy M Mohamed, E A Elgabry, Yousof A A Darwish, Asmaa S Mansour

Abstract read
In one paragraph

Article in AMB Express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

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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

5 citing papers in PubMed.

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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.

Sohier M SyameDepartment of Microbiology and Immunology, National Research Centre, Dokki, 12622, Cairo, Egypt.
Samy M MohamedDepartment of Medicinal and Aromatic Plants, National Research Centre, Dokki, 12622, Cairo, Egypt.
E A ElgabryDepartment of Microbiology and Immunology, National Research Centre, Dokki, 12622, Cairo, Egypt.
Yousof A A DarwishFaculty of Medicine, Alexandria University, Alexandria, Egypt.
Asmaa S MansourDepartment of Microbiology and Immunology, National Research Centre, Dokki, 12622, Cairo, Egypt. as.mansour@nrc.sci.eg.ORCID https://orcid.org/0000-0002-2307-0760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious diseases are the most important cause of death worldwide. Many of these diseases show great resistance to drugs and antibiotics with long-term use. Extracts of some medicinal plants have antimicrobial properties, which can treat and overcome these diseases. Meliaceae is a family of timber trees used extensively in treating many bacterial and fungal diseases, especially Swietenia mahagoni (L.) Jacq. In this study, phytochemical screening, gas chromatography/mass spectrometry (GC/MS) analysis, and antimicrobial, antioxidant, and antitumor activities of the methanolic extract of S. mahagoni (L.) leaves were performed. Phytochemical screening exhibited the presence of alkaloids, flavonoids, saponins, phenols, triterpenoids, glycosides, and tannins. GC/MS analysis exhibited 40 compounds, mainly 7-hexadecene, (Z)-, imidazole-4,5-d2, and 1-acetyl-4,4-bis[4-(3-bromopropoxy)-3,5-dimethoxyphenyl] piperidine. The antibacterial and antifungal potentials of the methanolic extract of S. mahagoni (L.) leaves was investigated using the agar well diffusion technique. Potent antibacterial activity against Staphylococcus aureus, Escherichia coli, Salmonella enterica, Enterobacter aerogenes, and Proteus vulgaris and antifungal activity against Aspergillus flavus, Aspergillus niger, and Candida albicans were found. The minimum inhibitory concentration and minimum bactericidal and fungicidal concentrations ranged from 12.5 to 25 mg/mL. Antioxidant activity was studied using the free radical scavenging assay, and the IC

Indexed as

AntimicrobialAntioxidantCytotoxic activityGC/MS analysisPhytochemical screeningSwietenia mahagoni (L.) leaves

Identifiers

PMID35705723
PMCPMC9200926

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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.