Evidence map›Paper›PMID 35719212›Full record

ArticleDrug design, development and therapy2022

Evaluation of Different Surface Coating Agents for Selenium Nanoparticles: Enhanced Anti-Inflammatory Activity and Drug Loading Capacity.

Aml I Mekkawy, M Fathy, Hebatallah B Mohamed

Abstract read
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Article in Drug design, development and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Aml I MekkawyDepartment of Pharmaceutics and Clinical Pharmacy, Faculty of Pharmacy, Sohag University, Sohag, 82524, Egypt.ORCID 0000-0003-1372-1192
M FathyDepartment of Pharmaceutics, Faculty of Pharmacy, Assiut University, Assiut, 71526, Egypt.
Hebatallah B MohamedDepartment of Pharmaceutics, Faculty of Pharmacy, South Valley University, Qena, 83523, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inflammation is the keystone in the disease's pathological process in response to any damaging stimuli. Therefore, any agent that inhibits the inflammatory response is under focus, either a drug or a bioactive compound. Selenium nanoparticles have drawn attention in various biomedical applications, including the anti-inflammatory activity. Purpose: In the current study, we aimed to evaluate the capacity of different surface coating materials (soybean lecithin, PEG 6000, and β-cyclodextrin) to enhance the anti-inflammatory activity of the synthesized selenium nanoparticles (SeNPs). The capability of the coated SeNPs to adsorb indomethacin (IND) on their surfaces compared to the uncoated SeNPs was also evaluated. Methods: SeNPs were synthesized, coated with different materials, and characterized in vitro using X-ray diffraction, UV-Vis spectrophotometer, FTIR, SEM, TEM, and particle size and zeta potential measurements. The in vivo anti-inflammatory activity of the uncoated/coated SeNPs loaded into hydrogel was evaluated using a carrageenan-induced paw edema rat model. The effect of SeNPs surface coatings was further evaluated for IND loading capacity. Results: Our findings proved the superior anti-inflammatory activity of all coated SeNPs compared to the uncoated SeNPs, especially with β-cyclodextrin surface coating. Regarding the IND loading capacity of the prepared uncoated/coated SeNPs, the amount of drug loaded was 0.12, 1.12, 0.3, and 0.14 µg IND/µg SeNPs for the uncoated, lecithin-, PEG- and β-CD-coated SeNPs, respectively. Conclusion: Surface functionalization of SeNPs can provide a synergistic therapeutic activity. Our results are promising for further investigation of the in vivo anti-inflammatory synergistic activity of the IND-loaded surface-coated SeNPs.

Indexed as

beta-CyclodextrinsNanoparticlesSeleniumAnimalsAnti-Inflammatory AgentsLecithinsRatsAnti-Inflammatory Agentsbeta-CyclodextrinsLecithinsSeleniumcarrageenanindomethacinpolyethylene glycolselenium nanoparticlessoybean lecithinsynergistic activityβ-cyclodextrin

Identifiers

PMID35719212
PMCPMC9205440

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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.