Evidence map›Paper›PMID 27716154›Full record

ArticleBMC complementary and alternative medicine2016

Effect of the herbal mixture composed of Aloe Vera, Henna, Adiantum capillus-veneris, and Myrrha on wound healing in streptozotocin-induced diabetic rats.

Hamid Galehdari, Samira Negahdari, Mahnaz Kesmati, Anahita Rezaie, Gholamreza Shariati

Open access · goldAbstract read
In one paragraph

Article in BMC complementary and alternative medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. A critical overview of challenging roles of medicinal plants in improvement of wound healing technology.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2024
    Pooled it
  3. Review
  4. Wound healing and photodynamic potential ofFrontiers in pharmacology · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Synergistic Antimicrobial Effect ofInfection and drug resistance · 2022
    Article
  10. Article
  11. Wound Healing and the Use of Medicinal Plants.Evidence-based complementary and alternative medicine : eCAM · 2019
    Review
  12. Medicinal Properties ofIranian journal of public health · 2018
    Review
  13. Article
  14. 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

5 authors at 2 institutions in 1 country.

Hamid GalehdariToxicology Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. galehdari187@yahoo.com.
Samira NegahdariDepartment of Genetics, Shahid Chamran University, Ahvaz, Iran.
Mahnaz KesmatiDepartment of Genetics, Shahid Chamran University, Ahvaz, Iran.
Anahita RezaieDepartment of Pathobiology, Faculty of Veterinary Medicine, Shahid Chamran University of Ahvaz, Ahvaz, Iran.
Gholamreza ShariatiDepartment of Medical Genetics, Faculty of Medicine, Jundishapur University of Medical Sciences, Ahvaz, Iran.
Shahid Chamran University of Ahvaz · IRAhvaz Jundishapur University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWound healing is often impaired in diabetic animals and humans. Matrix metalloproteases act as pro-inflammatory agents in physiological wound healing pathways by stimulating cytokines including the interleukins, IL6, IL1A and IL1B, and the tumor necrosis factor and transforming growth factor beta1. Botanicals are traditionally used to assist healing of different types of wounds, because they produce fewer side effects. Our specific aim here was to develop a plant-based recipe supporting effective wound healing in diabetic animals.

methodsPlant materials from Adiantum capillus-veneris, Commiphora molmol, Aloe Vera, and henna were collected for this study, and oven-dried at 60 °C. The dried leaves and resins were then crumbled into a powder and mixed in equal parts with Vaseline as a preservative. This mixture was used as an ointment on wounds induced in 60 diabetic and non-diabetic rats that were divided into 6 subgroups receiving agent or control treatments. Necrotic tissue surrounding the wound was periodically removed during wound healing. RNA was extracted from the healing region of the wound at days 7, 14 and 21 for cDNA synthesis to monitor changes in Tgfb1, Mmp3, Mmp9, Il6 and Tnf α expression using real-time PCR.

resultsThe expression of the Mmp3, the Tnf α, and the Tgfb1 genes from wound tissue were significantly different (p < 0.05) between diabetic and non-diabetic (control) rats treated with the herbal mixture after 14 and 21 days. There was no significant difference (p > 0.05) of the Mmp9 gene expression in diabetic and non-diabetic rats treated only with Vaseline after 7, 14, and 21 days. But, the expression of the Mmp9 gene decreased significantly (p < 0.05) in diabetic rats after 14 days in comparison to non-diabetic rats, when the herbal mixture was added to Vaseline.

conclusionsOur study presents an herbal treatment that alters the gene expression signature at wounds induced in the rat model for type I diabetes in a manner consistent with accelerated healing, and demonstrates that this herbal treatment might be effective to treat wounds in diabetic patients.

Indexed as

AdiantumAloeAnimalsDiabetes Mellitus, ExperimentalGene ExpressionLawsonia PlantMaleMatrix MetalloproteinasesPlant ExtractsRatsRats, WistarWound HealingMatrix MetalloproteinasesPlant ExtractsDiabeticHerbal remediesMatrix metalloproteasesWound healing

Identifiers

PMID27716154
PMCPMC5053342
OpenAlexW2528549485

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.