Evidence map›Paper›PMID 39665002›Full record

ArticleFrontiers in chemistry2024

Antioxidant potential, antimicrobial activity, polyphenol profile analysis, and cytotoxicity against breast cancer cell lines of hydro-ethanolic extracts of leaves of (

Aziz Tikent, Salah Laaraj, Toufik Bouddine, Mohamed Chebaibi, Mohamed Bouhrim, Kaoutar Elfazazi, Ali S Alqahtani, Omar M Noman, Lhoussain Hajji, Larbi Rhazi and 2 more

Abstract read
In one paragraph

Article in Frontiers in chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Effects of Common Fig (International journal of molecular sciences · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Iranian journal of basic medical sciences · 2025
    Article
  9. OverallFrontiers in microbiology · 2025
    Article
  10. Review
  11. Article
  12. 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

12 authors.

Aziz TikentLaboratoire d'Amélioration des Productions agricoles, Biotechnologie and Environnement (LAPABE), Faculté des Sciences, Université Mohammed Premier, Oujda, Morocco.
Salah LaarajRegional Center of Agricultural Research of Tadla, National Institute of Agricultural Research (INRA), Rabat, Morocco.
Toufik BouddineBioactive and Environmental Health Laboratory, Moulay Ismail University of Meknes, Meknes, Morocco.
Mohamed ChebaibiMinistry of Health and Social Protection, Higher Institute of Nursing Professions and Health Techniques, Fez, Morocco.
Mohamed BouhrimBiological Engineering Laboratory, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, Beni Mellal, Morocco.
Kaoutar ElfazaziRegional Center of Agricultural Research of Tadla, National Institute of Agricultural Research (INRA), Rabat, Morocco.
Ali S AlqahtaniDepartment of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Omar M NomanDepartment of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Lhoussain HajjiBioactive and Environmental Health Laboratory, Moulay Ismail University of Meknes, Meknes, Morocco.
Larbi RhaziInstitut Polytechnique UniLaSalle, Université d'Artois, Beauvais Cédex, France.
Ahmed ElamraniLaboratoire d'Amélioration des Productions agricoles, Biotechnologie and Environnement (LAPABE), Faculté des Sciences, Université Mohammed Premier, Oujda, Morocco.
Mohamed AddiLaboratoire d'Amélioration des Productions agricoles, Biotechnologie and Environnement (LAPABE), Faculté des Sciences, Université Mohammed Premier, Oujda, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Many beneficial compounds found in fig leaves can be used in tea and medicine. These compounds aid with digestion, reduce inflammation, and treat diabetes and bronchitis. Chetoui, Malha, Ghoudane, and Onk Hmam fig leaf hydro-ethanol extracts from Eastern Morocco were analyzed for metabolites and biological activities. Methods results and discussion: HPLC-UV examination revealed that the leaf extract included mainly caffeine, rutin, and ferrulic acid. Spectrophometric results show that Malha leaf is rich in polyphenols (62.6 ± 1.3 mg GAE/g) and flavonoids (26.2 ± 0.1 mg QE/g). Chetoui leaf contains the highest vitamin C content (8.2 ± 0.1 mg Asc A/100 g DW), while Onk Hmam leaf has the highest condensed tannin (4.9 ± 0.1 mg CatE/g). The investigations found that all leaf extracts were antioxidant-rich, with strong Pearson bivariate correlation between bioactive polyphenol levels and antioxidant tests for DPPH, β-carotene, ABTS, and TAC (values of -0.93, -0.94, -0.85, and 0.98, respectively). The coefficients for flavonoid content were -0.89, -0.89, -0.97, and 0.80, respectively. Disk diffusion and MIC results show that the hydro-ethanol fig leaf extracts eliminate fungi and bacteria. In addition, these fig leaf extracts showed promise cytotoxicity against the breast cancer cell lines MCF-7, MDA-MB-231, and MDA-MB-436 and an interesting selectivity index. In silico leaf bioactive component analysis revealed that myricitin inhibited NADPH oxidase the greatest (gscore -6.59 Kcal/mol). Trans-ferulic acid inhibits Escherichia coli beta-ketoacyl-[acyl carrier protein] synthase (-6.55 kcal/mol), whereas quercetin inhibits Conclusion: This research indicates that fig leaf extracts from the region can be used in medicine, food, natural cosmetics, and breast cancer prevention. To maximize the value of these leaves, their use must be carefully studied. Naturally, this fortunate tree's diversity must be preserved and enhanced.

Indexed as

anticancerantimicrobialantioxidantEastern Moroccofig leaf

Identifiers

PMID39665002
PMCPMC11631630

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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.