Evidence map›Paper›PMID 29558494›Full record

ArticlePloS one2018

Ursolic acid rich Ocimum sanctum L leaf extract loaded nanostructured lipid carriers ameliorate adjuvant induced arthritis in rats by inhibition of COX-1, COX-2, TNF-α and IL-1: Pharmacological and docking studies.

Aftab Ahmad, Mohammed F Abuzinadah, Huda M Alkreathy, Babajan Banaganapalli, Mohd Mujeeb

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.5field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 61 citations in OpenAlex.

  1. Review
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  8. Life (Basel, Switzerland) · 2023
    Article
  9. ACS omega · 2023
    Article
  10. Phytochemical characterization ofFrontiers in chemistry · 2023
    Article
  11. Review
  12. Article
  13. Article
  14. Nanostructured lipid carriers (NLCs) as drug delivery platform: Advances in formulation and delivery strategies.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2021
    Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Ursolic Acid-Based Derivatives as Potential Anti-Cancer Agents: An Update.International journal of molecular sciences · 2020
    Review
  20. 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 2 countries.

Aftab AhmadHealth Information Technology Department, Jeddah Community College, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia.ORCID 0000-0001-8268-3412
Mohammed F AbuzinadahDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia.
Huda M AlkreathyDepartment of Pharmacology, Faculty of Medicine, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia.
Babajan BanaganapalliPrincess Al-Jawhara Al-Brahim Center of Excellence in Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia.
Mohd MujeebDepartment of Pharmacognosy & Phytochemistry, School of Pharmaceutical Education and Research, Jamia Hamdard (Hamdard University), New Delhi, India.
King Abdulaziz University · SAJamia Hamdard · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrsolic acid (UA) is a promising molecule with anti-inflammatory, analgesic and potential anti-arthritic activity.

methodsThis study was undertaken to make formulation and evaluation of Ocimum sanctum L. leaf extract (OLE) loaded nano-structured lipid carriers (OLE-NLCs) for improved transdermal delivery of UA. Different surfactants, solid lipids and liquid lipids were used for the preparation of NLCs. The NLCs were developed using emulsion solvent diffusion and evaporation method. Different physicochemical properties, entrapment efficacy, in vitro release evaluation, and ex vivo permeation studies of the prepared NLCs were carried out. The in vivo anti-arthritic activity of OLE-loaded NLC gel and control gel formulation (OLE free NLC gel) against Complete Freund's Adjuvant (CFA) induced arthritis in wister albino rats was also carried out.

resultsOLE-NLCs were composed of spherical particles having a mean particle size of ~120 nm, polydispersity index of ~0.162 and zeta potential of ~ -27 mV. The high entrapment efficiency (EE) of UA ~89.56% was attained. The in vitro release study demonstrated a prolonged release of UA from the NLCs up to 12 h. The developed formulation was found to be significantly better with respect to the drug permeation amount with an enhancement ratio of 2.69 as compared with marketed formulation. The in vivo biological activity investigations, studies showed that the newly prepared NLCs formulation of OLE showed excellent anti-arthritic activity and the results were found at par with standard marketed diclofenac gel for its analgesic and anti-arthritic activities. These results were also supported by radiological analysis and molecular docking studies.

conclusionThe overall results proved that the prepared OLE-NLCs were very effective for the treatment of arthritis and the results were found at par with standard marketed the standard formulation of diclofenac gel.

Indexed as

Molecular Docking SimulationAnalgesicsAnimalsArthritis, ExperimentalCyclooxygenase 1Cyclooxygenase 2Drug CarriersDrug LiberationFemaleInterleukin-1LipidsMaleMiceOcimum sanctumParticle SizePermeabilityAnalgesicsCyclooxygenase 1Cyclooxygenase 2Drug CarriersInterleukin-1LipidsPlant ExtractsTriterpenesTumor Necrosis Factor-alphaUrsolic Acid

Identifiers

PMID29558494
PMCPMC5860693
OpenAlexW2793402252

What OpenQuestion holds

Textmetadata
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.