Evidence map›Paper›PMID 29440875›Full record

ArticleDrug design, development and therapy2018

Experimental and molecular modeling approach to optimize suitable polymers for fabrication of stable fluticasone nanoparticles with enhanced dissolution and antimicrobial activity.

Shaimaa Ahmed, Thirumala Govender, Inamullah Khan, Nisar Ur Rehman, Waqar Ali, Syed Muhammad Hassan Shah, Shahzeb Khan, Zahid Hussain, Riaz Ullah, Mansour S Alsaid

Open access · goldAbstract readComparative Study
In one paragraph

Article in Drug design, development and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 30 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

10 authors at 4 institutions in 5 countries.

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.
Inamullah KhanDepartment of Pharmacy, COMSATS Institute of Information Technology (CIIT), Abbotabad.
Nisar Ur RehmanDepartment of Pharmacy, COMSATS Institute of Information Technology (CIIT), Abbotabad.
Waqar AliDepartment of Pharmacy, COMSATS Institute of Information Technology (CIIT), Abbotabad.
Syed Muhammad Hassan ShahDepartment of Pharmacy, Sarhad University of Science and Technology, Peshawar.
Shahzeb KhanDepartment of Pharmacy, University of Malakand Dir (Lower), Chakdara, Khyber Pakhtunkhwa, Pakistan.
Zahid HussainDepartment of Pharmaceutics, Faculty of Pharmacy, Universiti Teknologi Mara, Puncak Alam, Selangor, Malaysia.
Riaz UllahDepartment of Pharmacognosy and Medicinal, Aromatic & Poisonous Plants Research Center (MAPPRC), College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Mansour S AlsaidDepartment of Pharmacognosy and Medicinal, Aromatic & Poisonous Plants Research Center (MAPPRC), College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
COMSATS University Islamabad · PKKing Saud University · SAUniversity of KwaZulu-Natal · ZAAmerican Pharmacists Association · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimThe challenges with current antimicrobial drug therapy and resistance remain a significant global health threat. Nanodrug delivery systems are playing a crucial role in overcoming these challenges and open new avenues for effective antimicrobial therapy. While fluticasone (FLU), a poorly water-soluble corticosteroid, has been reported to have potential antimicrobial activity, approaches to optimize its dissolution profile and antimicrobial activity are lacking in the literature. This study aimed to combine an experimental study with molecular modeling to design stable FLU nanopolymeric particles with enhanced dissolution rates and antimicrobial activity.

methodsSix different polymers were used to prepare FLU nanopolymeric particles: hydroxyl propyl methylcellulose (HPMC), poly (vinylpyrrolidone) (PVP), poly (vinyl alcohol) (PVA), ethyl cellulose (EC), Eudragit (EUD), and Pluronics RESULTS AND

conclusionThe combination of HPMC-PVP and EUD-PVP was found most effective to produce stable FLU nanoparticles, with particle sizes of 250 nm ±2.0 and 280 nm ±4.2 and polydispersity indices of 0.15 nm ±0.01 and 0.25 nm ±0.03, respectively. The molecular modeling studies endorsed the same results, showing highest polymer drug binding free energies for HPMC-PVP-FLU (-35.22 kcal/mol ±0.79) and EUD-PVP-FLU (-25.17 kcal/mol ±1.12). In addition, it was observed that Ethocel

Indexed as

Drug CarriersMolecular Docking SimulationMolecular Dynamics SimulationNanoparticlesAnti-Bacterial AgentsCrystallizationDrug CompoundingDrug LiberationDrug StabilityFluticasoneHypromellose DerivativesMolecular StructureNanomedicinePolymersPolymethacrylic AcidsPovidoneAnti-Bacterial AgentsDrug CarriersFluticasoneHypromellose Derivativesmethylmethacrylate-methacrylic acid copolymerPolymersPolymethacrylic AcidsPovidoneantimicrobialdrug delivery systemsfluticasonemolecular dynamicsmolecular modelingnanoparticles

Identifiers

PMID29440875
PMCPMC5804124
OpenAlexW2793005752

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Registered trials

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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.