Evidence map›Paper›PMID 36925532›Full record

ArticleHeliyon2023

Development and

Rimsha Yousaf, Muhammad Imran Khan, Muhammad Furqan Akhtar, Asadullah Madni, Muhammad Farhan Sohail, Ammara Saleem, Kanwal Irshad, Ali Sharif, Maria Rana

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 29 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Rimsha YousafRiphah Institute of Pharmaceutical Sciences, Riphah International University, Lahore Campus, 54000, Lahore, Pakistan.
Muhammad Imran KhanRiphah Institute of Pharmaceutical Sciences, Riphah International University, Lahore Campus, 54000, Lahore, Pakistan.
Muhammad Furqan AkhtarRiphah Institute of Pharmaceutical Sciences, Riphah International University, Lahore Campus, 54000, Lahore, Pakistan.
Asadullah MadniDepartment of Pharmaceutics, Faculty of Pharmacy, The Islamia University of Bahawalpur, Bahawalpur, 63100, Pakistan.
Muhammad Farhan SohailRiphah Institute of Pharmaceutical Sciences, Riphah International University, Lahore Campus, 54000, Lahore, Pakistan.
Ammara SaleemDepartment of Pharmacology, Faculty of Pharmaceutical Sciences, Government College University Faisalabad, Pakistan.
Kanwal IrshadDepartment of Pharmaceutical Chemistry, Faculty of Pharmaceutical Sciences, Government College University Faisalabad, Pakistan.
Ali SharifInstitute of Pharmacy, Faculty of Pharmaceutical and Allied Health Sciences, Lahore College for Women University, Lahore, Pakistan.
Maria RanaRiphah Institute of Pharmaceutical Sciences, Riphah International University, Lahore Campus, 54000, Lahore, Pakistan.
Riphah International University · PKGovernment College University, Faisalabad · PKIslamia University of Bahawalpur · PKLahore College for Women University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Itraconazole (ICZ) is a broad spectrum antifungal drug, but used as second or third line therapy due to its low and erratic oral bioavailability. This work was carried out to prepare and characterize matrix type lipid-polymer hybrid nanoparticles (LPHNPs) for dissolution enhancement of ICZ. LPHNPs were prepared using solvent diffusion/emulsification technique. Matrix LPHNPs were composed of chitosan (polymer), glyceryl monostearate (lipid) and poloxamer 188 (stabilizer). LPHNPs loaded with ICZ (LPHNPs-1, LPHNPs-2, LPHNPs-3 and LPHNPs-4) were developed using varying concentration of chitosan whereas LPHNPs (LPHNPs-5, LPHNPs-6, LPHNPs-7 and LPHNPs-8) were prepared using varying concentrations of poloxamer 188. LPHNPs loaded with ICZ were further evaluated for entrapment efficiency, particle size, polydispersity index (PDI), zeta potential and dissolution profiles at biorelevant pH conditions. The particle size (LPHNPs-1 to LPHNPs-4) was found to be in range of 421-588 nm with PDI values 0.34-0.41. The particles size of LPHNPs-5 to LPHNPs-8 was found to be in range of 489-725 nm with PDI 0.34-0.74. The entrapment efficiency of LPHNPs-1 to LPHNPs-4 was found to be in range of 85.21%-91.34%. The entrapment efficiency of LPHNPs-5 to LPHNPs-8 was found to be in range 78.32%-90.44%. . The scanning electron microscopy of optimized formulations LPHNPs-1 and LPHNPs-5 indicated formation of oval shaped nanoparticles. DSC thermogram of ICZ loaded LPHNPs also depicted the conversion of crystalline form of ICZ into amorphous form demonstrating the internalization and dissolution enhancement of drug in the hybrid matrix. The cumulative drug dissolved at acidic pH 1.2 was found to be 23.3% and 19.8% for LPHNPs-1 and LPHNPs-5 respectively. Similarly at basic pH values 7.4, cumulative amount of drug dissolved was 90.2% and 83.4% for LPHNPs-1 and LPHNPs-5 respectively. Drug dissolution kinetics exhibited fickian diffusion best described by Korse-meyer Peppas model. The results suggested that chitosan and glyceryl monostearate based matrix LPHNPs could be used as promising approach for dissolution enhancement of ICZ which could further increase its bioavailability.

Indexed as

attenuated total reflectance Fourier transform infrared spectroscopy, ATR-FTIRBiopharmaceutical classification system, BCSChitosanDissolution enhancementGlyceryl monostearate, GMSGlyceryl monostearteItraconazoleItraconazole, ICZLipid-polymer hybrid nanoparticlesLipid-polymer hybrid nanoparticles, LPHNPsPoloxamer 188

Identifiers

PMID36925532
PMCPMC10010992
OpenAlexW4323670209

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.