Evidence map›Paper›PMID 29599613›Full record

ArticleInternational journal of nanomedicine2018

Dexibuprofen nanocrystals with improved therapeutic performance: fabrication, characterization, in silico modeling, and in vivo evaluation.

Naseem Ullah, Shahzeb Khan, Shaimaa Ahmed, Thirumala Govender, Hani S Faidah, Marcel de Matas, Muhammad Shahid, Muhammad Usman Minhas, Muhammad Sohail, Muhammad Khurram

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2018. 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
1.6field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 33 citations in OpenAlex.

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  11. Intranasal delivery of paeoniflorin nanocrystals for brain targeting.Asian journal of pharmaceutical sciences · 2020
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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

10 authors at 7 institutions in 4 countries.

Naseem UllahDepartment of Pharmacy, University of Malakand, Chakdara, Pakistan.
Shahzeb KhanDepartment of Pharmacy, University of Malakand, Chakdara, Pakistan.
Shaimaa AhmedDiscipline of Pharmaceutical Sciences, School of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
Thirumala GovenderDiscipline of Pharmaceutical Sciences, School of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
Hani S FaidahDepartment of Microbiology, Faculty of Medicine, Umm Al Qura University, Makkah, Kingdom of Saudi Arabia.
Marcel de MatasSEDA Pharmaceutical Development Services, The BioHub at Alderley Park, Cheshire, UK.
Muhammad ShahidDepartment of Pharmacy, Sarhad University of Science and Information Technology, Peshawar, Pakistan.
Muhammad Usman MinhasFaculty of Pharmacy and Alternative Medicine, The Islamia University of Bahawalpur, Punjab, Pakistan.
Muhammad SohailDepartment of Pharmacy, COMSATS, Abbottabad, Pakistan.
Muhammad KhurramDepartment of Pharmacy, Shaheed Benazir Bhutto University, Sheringal, Pakistan.
Shaheed Benazir Bhutto University · PKUniversity of KwaZulu-Natal · ZAUniversity of Malakand · PKAstraZeneca (United Kingdom) · GBCOMSATS University Islamabad · PKSarhad University of Science and Information Technology · PKUmm al-Qura University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to prepare and evaluate the impact of polymers on fabricating stable dexibuprofen (Dexi) nanocrystals with enhanced therapeutic potential, using a low energy, anti-solvent precipitation method coupled with molecular modelling approach.

methodsDexi nanocrystals were prepared using antisolvent precipitation with syringe pump. Crystallinity of the processed Dexi particles was confirmed using differential scanning calorimetry and powdered X-ray diffraction and transmission electron microscopy. Dissolution of Dexi nanocrystals was compared with raw Dexi and marketed tablets. Molecular modelling study was coupled with experimental studies to rationalise the appropriate polymers for stable Dexi nanocrystals. Antinociceptive study was carried out using balb mice.

resultsCombinations of hydroxypropyl methylcellulose (HPMC)-polyvinyl pyrrolidone (PVP) and HPMC-Eudragit (EUD) were shown to be very effective in producing stable Dexi nanocrystals with particle sizes of 85.0±2.5 nm and 90±3.0 nm, and polydispersity of 0.179±0.01, 0.182±0.02, respectively. The stability studies conducted for 90 days demonstrated that nanocrystals stored at 2°C-8°C and 25°C were more stable than those at 40°C. The maximum recovery of Dexi nanocrystals was observed from the formulations using the combination of HPMC-PVP and HPMC-EUD, which equated to 98% and 94% of the nominal active drug content respectively. The saturation solubility of the Dexi nanocrystals was substantially increased to 270.0±3.5 μg/mL compared to the raw Dexi in water (51.0±2.0 μg/mL) and stabilizer solution (92.0±3.0 μg/mL). Enhanced dissolution rate (

conclusionHPMC-PVP and HPMC-EUD were found the best polymer combination to stabilise Dexi nanocrystals. The Dexi nanocrystals exhibited significant dissolution, solubility and analgesic effect compared to the raw Dexi and the control standard diclofenac sodium.

Indexed as

Analgesics, Non-NarcoticAnimalsCalorimetry, Differential ScanningComputer SimulationDrug Delivery SystemsHypromellose DerivativesIbuprofenMaleMice, Inbred BALB CModels, MolecularNanoparticlesParticle SizePolymersPowder DiffractionPowdersSolubilityAnalgesics, Non-NarcoticdexibuprofenHypromellose DerivativesIbuprofenPolymersPowdersTabletsantinociceptive activitydexibuprofendissolutionmolecular modelingnanocrystalsstability

Identifiers

PMID29599613
PMCPMC5866724
OpenAlexW2791526401

What OpenQuestion holds

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LicenceCC BY-NC
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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.