Evidence map›Paper›PMID 37631287›Full record

ArticlePharmaceutics2023

SARS-CoV-2 Papain-like Protease Responsive ZnO/Daclatasvir-Loaded Chitosan/Gelatin Nanofibers as Smart Antimicrobial Medical Textiles: In Silico, In Vitro and Cell Studies.

Mohamed Hamdi, Akram M Elkashlan, Mohamed A Hammad, Isra H Ali

Abstract read
In one paragraph

Article in Pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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

4 authors.

Mohamed HamdiDepartment of Pharmaceutics, Faculty of Pharmacy, University of Sadat City, Sadat City P.O. Box 32897, Egypt.
Akram M ElkashlanDepartment of Biochemistry, Faculty of Pharmacy, University of Sadat City, Sadat City P.O. Box 32897, Egypt.ORCID 0000-0002-5261-8043
Mohamed A HammadDepartment of Analytical Chemistry, Faculty of Pharmacy, University of Sadat City, Sadat City P.O. Box 32897, Egypt.ORCID 0000-0003-2091-7660
Isra H AliDepartment of Pharmaceutics, Faculty of Pharmacy, University of Sadat City, Sadat City P.O. Box 32897, Egypt.ORCID 0000-0003-4859-4971

Funding

University of Sadat City 20
6 · The paper itself

Abstract

A significant number of deaths are reported annually worldwide due to microbial and viral infections. The development of protective medical textiles for patients and healthcare professionals has attracted many researchers' attention. Therefore, this study aims to develop smart drug-eluting nanofibrous matrices to be used as a basic material for medical textile fabrication. First, chitosan/gelatin nanofibers were selected as the basic material owing to the wide antimicrobial activity of chitosan and the capability of gelatin to be hydrolyzed in the abundance of the papain-like protease (PLpro) enzyme secreted by SARS-CoV-2. Daclatasvir (DAC), an NS5A inhibitor, was selected as the model drug based on in silico studies where it showed high anti-SARS-CoV-2 potential compared to FDA-approved references. Due to their reported antimicrobial and antiviral activities, ZnO NPs were successfully prepared and incorporated with daclatasvir in chitosan/gelatin nanofibrous matrices through electrospinning. Afterward, an in vitro release study in a simulated buffer revealed the controlled release of DAC over 21 days from the nanofibers compared to only 6 h for free DAC. On the other hand, the abundance of PLpro induced the complete release of DAC from the nanofibers in only 4-8 h. Finally, the nanofibers demonstrated a wide antimicrobial activity against

Indexed as

chitosandaclatasvirgelatininfectionmedical textilesmicrobialnanofibersviralZnO NPs

Identifiers

PMID37631287
PMCPMC10457880

What OpenQuestion holds

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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.