Evidence map›Paper›PMID 34416332›Full record

ArticleInternational journal of pharmaceutics2021

Fluoxetine hydrochloride loaded lipid polymer hybrid nanoparticles showed possible efficiency against SARS-CoV-2 infection.

Shaymaa Elsayed Khater, Ahmed El-Khouly, Hend Mohamed Abdel-Bar, Abdulaziz Mohsen Al-Mahallawi, Dalia Mahmoud Ghorab

Open access · greenAbstract read
In one paragraph

Article in International journal of pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.9field-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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Psychotropic drug repurposing for COVID-19: A Systematic Review and Meta-Analysis.European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology · 2023
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. Review
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

5 authors at 3 institutions in 2 countries.

Shaymaa Elsayed KhaterDepartment of Pharmaceutics, Faculty of Pharmacy, University of Sadat City, Sadat City, Egypt.
Ahmed El-KhoulyDepartment of Organic and Medicinal Chemistry, Faculty of Pharmacy, University of Sadat City, Sadat City, Egypt; Department of Pharmaceutical Sciences, Faculty of Pharmacy, Jerash University, Jerash, Jordan.
Hend Mohamed Abdel-BarDepartment of Pharmaceutics, Faculty of Pharmacy, University of Sadat City, Sadat City, Egypt. Electronic address: hend.abdelbar@fop.usc.edu.eg.
Abdulaziz Mohsen Al-MahallawiDepartment of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Cairo University, Egypt; School of Life and Medical Sciences, University of Hertfordshire Hosted by Global Academic Foundation, New Administrative Capital, Cairo, Egypt.
Dalia Mahmoud GhorabDepartment of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Cairo University, Egypt.
Cairo University · EGUniversity of Sadat City · EGJerash University · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Up to date, there were no approved drugs against coronavirus (COVID-19) disease that dangerously affects global health and the economy. Repurposing the existing drugs would be a promising approach for COVID-19 management. The antidepressant drugs, selective serotonin reuptake inhibitors (SSRIs) class, have antiviral, anti-inflammatory, and anticoagulant effects, which makes them auspicious drugs for COVID 19 treatment. Therefore, this study aimed to predict the possible therapeutic activity of SSRIs against COVID-19. Firstly, molecular docking studies were performed to hypothesize the possible interaction of SSRIs to the Severe Acute Respiratory Syndrome coronavirus 2 (SARS-COV-2) main protease. Secondly, the candidate drug was loaded in lipid polymer hybrid (LPH) nanoparticles to enhance its activity. The studied SSRIs were Fluoxetine hydrochloride (FH), Atomoxteine, Paroxetine, Nisoxteine, Repoxteine RR, and Repoxteine SS. Interestingly, FH could effectively bind with SARS-COV-2 main protease via hydrogen bond formation with low binding energy (-6.7 kcal/mol). Moreover, the optimization of FH-LPH formulation achieved 65.1 ± 2.7% encapsulation efficiency, 10.3 ± 0.4% loading efficiency, 98.5 ± 3.5 nm particle size, and -10.5 ± 0.45 mV zeta potential. Additionally, it improved cellular internalization in a time-dependent manner with good biocompatibility on Human lung fibroblast (CCD-19Lu) cells. Therefore, the study suggested the potential activity of FH-LPH nanoparticles against the COVID-19 pandemic.

Indexed as

COVID-19 Drug TreatmentNanoparticlesDrug RepositioningFluoxetineHumansLipidsMolecular Docking SimulationPandemicsPolymersSARS-CoV-2FluoxetineLipidsPolymersCOVID-19Drug repurposingFluoxetine hydrochlorideLipid polymer hybridMolecular dockingSARS-COV-2 main proteaseSSRIs

Identifiers

PMID34416332
PMCPMC8372442
OpenAlexW3193590905

What OpenQuestion holds

Textmetadata
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.