Evidence map›Paper›PMID 40751117›Full record

ArticleAMB Express2025

Insight into the biological activities of Fagonia Arabica L. and its phytochemical constituents.

Nashaat N Mahmoud, Alsayed E Mekky, Esawy Mahmoud, Mayada M El-Azab, Muhammad I Haggag

Abstract read
In one paragraph

Article in AMB Express, 2025. 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

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

5 citing papers in PubMed.

  1. Natural Product-Based Therapeutic Potential ofPharmaceuticals (Basel, Switzerland) · 2026
    Article
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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.

Nashaat N MahmoudDepartment of Botany and Microbiology, Faculty of Science, Al-Azhar University, Cairo, 11884, Egypt. nashaat_mahmoud@azhar.edu.eg.
Alsayed E MekkyDepartment of Botany and Microbiology, Faculty of Science, Al-Azhar University, Cairo, 11884, Egypt.
Esawy MahmoudDepartment of Soil and Water Science, Faculty of Agriculture, Tanta University, Tanta , Egypt. esawy.rezk@agr.tanta.edu.eg.
Mayada M El-AzabDepartment of Medicinal and Aromatic Plants, Desert Research Center, Cairo, Egypt.
Muhammad I HaggagDepartment of Botany and Microbiology, Faculty of Science, Al-Azhar University, Cairo, 11884, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Egypt, the genus Fagonia is found in all the deserts of Egypt and the Sinai Peninsula. It is widely used to treat many diseases as a home remedy without sufficient scientific studies, especially Fagonia arabica L. Therefore, the purpose of this work was to evaluate the comprehensive phytochemical profile and biological evaluation of F. Arabica using HPLC method, antimicrobial activity, antioxidants, and cytotoxicity assays. The results showed that the phytochemical components detected in the aerial flowering parts of F. arabica were tannins, steroids, terpenoids, diterpenes, glycosides, saponins, flavonoids, phenols, alkaloids, fixed oils, carbohydrates, proteins, and amino acids. HPLC highlighted the presence of fifteen phenolic compounds present in F. arabica aqueous extract, and the highest of them were chlorogenic acid, gallic acid, and catechin. The antibacterial study of F. arabica extract showed significant inhibitory actions against Staphylococcus epidermidis, Staphylococcus aureus, Enterococcus faecalis, Escherichia coli, Klebsiella pneumoniae, and Acinetobacter baumannii with zone diameters of 20.0, 22.0, 23.0, 21.0, 17.0, and 18.0 mm, respectively. The extract of aerial flowering parts of F. arabica showed high value (IC

Indexed as

AntibacterialAnticancerAntioxidantFagonia Arabica L.Phytochemical analysis

Identifiers

PMID40751117
PMCPMC12316655

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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.