Evidence map›Paper›PMID 37496047›Full record

ArticleBMC complementary medicine and therapies2023

Exploring the antibacterial, antidiabetic, and anticancer potential of Mentha arvensis extract through in-silico and in-vitro analysis.

Shah Faisal, Muhammad Hamza Tariq, Riaz Ullah, Sania Zafar, Muhammad Rizwan, Nadia Bibi, Aishma Khattak, Noora Amir, Abdullah

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Article in BMC complementary medicine and therapies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  5. Investigating the Health Potential ofPharmaceuticals (Basel, Switzerland) · 2025
    Review
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  13. Article
  14. MultifunctionalMolecules (Basel, Switzerland) · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Shah Faisal *Institute of Biotechnology and Microbiology, Bacha Khan University, Charsadda, 24460, Pakistan. shahfaisal11495@gmail.com.
Muhammad Hamza Tariq *Department of Biotechnology, Virtual University of Pakistan, Lahore, Pakistan.
Riaz UllahDepartment of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Sania ZafarInstitute of Molecular Biology and Biotechnology, Bahauddin Zakariya University, Multan, Pakistan.
Muhammad RizwanCenter for Biotechnology and Microbiology, University of Swat, Swat, Pakistan.
Nadia BibiDepartment of Microbiology, Shaheed Benazir Bhutto Women University, Peshawar, Pakistan.
Aishma KhattakDepartment of Bioinformatics, Shaheed Benazir Bhutto Women University, Peshawar, Pakistan.
Noora AmirCenter for Biotechnology and Microbiology, University of Swat, Swat, Pakistan.
AbdullahDepartment of Physical Chemistry and Technology of Polymers, Silesian University of Technology, M. Strzody 9, 44-100, Gliwice, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMentha arvensis has been utilized in diverse traditional medicines as an antidiabetic, anticarcinogenic, antiallergic, antifungal, and antibacterial agent. In this work, we have explored the phytochemical analyses and pharmacological potential of Mentha arvensis using both in silico and in vitro approaches for drug discovery.

methodsTo determine the extract with the highest potential for powerful bioactivity, ethanol was used as the solvent. The phytochemical components of the extracts were quantified using liquid chromatography-mass spectrometry analysis. The potential bioactivities of extracts and lead phytocompounds, including their antibacterial, cytotoxic, and anti-diabetic effects, were evaluated.

resultsThe compounds oleanolic acid, rosmarinic acid, luteolin, isoorientin, and ursolic acid have been identified through liquid chromatography mass spectrometry analysis. Based on antimicrobial research, it has been found that the Mentha arvensis extract shows potential activity against K. pneumoniae which was 13.39 ± 0.16. Mentha arvensis has demonstrated a greater degree of efficacy in inhibiting α-glucosidase, with an inhibition rate of 58.36 ± 0.12, and in inhibiting α-amylase, with an inhibition rate of 42.18 ± 0.83. The growth of HepG2 cells was observed to be significantly suppressed upon treatment with extracts obtained from Mentha arvensis. Finally, In-silico methods demonstrated that the Luteolin and Rosmarinic acid exhibit acceptable drug-like characteristics. Furthermore, Molecular docking studies further demonstrated that both compounds have strong potential to inhibit the active sites of therapeutically relevant enzymes involved in Diabetes, Bacterial infections, and Cancer.

conclusionsThe results of this study suggest that the Mentha arvensis extract possesses potent pharmacological potentials, particularly in terms of antibacterial, anti-diabetic, and cytotoxic effects. Particularly, Luteolin and Rosmarinic acid were identified as the top contenders for potential bioactivity with acceptable drug-like properties.

Indexed as

MenthaAnti-Bacterial AgentsHypoglycemic AgentsLuteolinMolecular Docking SimulationPlant ExtractsRosmarinic AcidAnti-Bacterial AgentsHypoglycemic AgentsLuteolinPlant ExtractsRosmarinic AcidAntibacterialAnticancerAntidiabeticMentha arvensisMolecular dockingPhytochemical analyses

Identifiers

PMID37496047
PMCPMC10373235

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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.