Anti-Cancer and Anti-Inflammatory Potential of the Green Synthesized Silver Nanoparticles of the Red Sea Sponge Phyllospongia lamellosa Supported by Metabolomics Analysis and Docking Study Article Swipe
Areej A. Al-Khalaf
,
Hossam M. Hassan
,
Aisha M. H. Al‐Rajhi
,
Rania Ali El Hadi Mohamed
,
Wael N. Hozzein
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/antibiotics10101155
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/antibiotics10101155
Background: The Red Sea sponges have been endorsed as a plentiful source of bioactive compounds with promising anti-cancer and anti-inflammatory activities; therefore, exploring their potential as a source of anti-cancer metabolites has stimulated a growing research interest. Purpose: To investigate the anti-cancer and anti-inflammatory potential of the Red Sea sponges, in their bulk and silver nanostructure. Metabolomics analysis of the selected sponge followed by molecular docking studies, will be conducted to explore and predict the secondary metabolites that might provide its capability of inhibiting cancer. Materials and Methods: We prepared a chloroform extract (CE) and ethyl acetate extract (EE) of the Red Sea sponge Phyllospongia lamellosa synthesized silver nanoparticles. The prepared silver nanoparticles were characterized through UV–vis spectrophotometric, transmission electron microscopy (TEM), and Fourier-transform infrared spectroscopy (FTIR) analyses. Testing for their anti-cancer activities was performed against MCF-7, MDB-231, and MCF-10A cells. Anti-inflammatory activity against COX-1 and 2 was assessed. Furthermore, liquid chromatography–mass spectrometry (LC–MS)-based metabolomics analysis and molecular docking were also applied.
Related Topics
Concepts
Silver nanoparticle
Metabolomics
Chemistry
Fourier transform infrared spectroscopy
Anti-inflammatory
Chloroform
Nanoparticle
Sponge
Cancer cell
Nuclear chemistry
Nanotechnology
Combinatorial chemistry
Cancer
Chromatography
Materials science
Biology
Chemical engineering
Pharmacology
Botany
Engineering
Genetics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/antibiotics10101155
- https://www.mdpi.com/2079-6382/10/10/1155/pdf?version=1632477466
- OA Status
- gold
- Cited By
- 12
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3204933829
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3204933829Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/antibiotics10101155Digital Object Identifier
- Title
-
Anti-Cancer and Anti-Inflammatory Potential of the Green Synthesized Silver Nanoparticles of the Red Sea Sponge Phyllospongia lamellosa Supported by Metabolomics Analysis and Docking StudyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-09-24Full publication date if available
- Authors
-
Areej A. Al-Khalaf, Hossam M. Hassan, Aisha M. H. Al‐Rajhi, Rania Ali El Hadi Mohamed, Wael N. HozzeinList of authors in order
- Landing page
-
https://doi.org/10.3390/antibiotics10101155Publisher landing page
- PDF URL
-
https://www.mdpi.com/2079-6382/10/10/1155/pdf?version=1632477466Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2079-6382/10/10/1155/pdf?version=1632477466Direct OA link when available
- Concepts
-
Silver nanoparticle, Metabolomics, Chemistry, Fourier transform infrared spectroscopy, Anti-inflammatory, Chloroform, Nanoparticle, Sponge, Cancer cell, Nuclear chemistry, Nanotechnology, Combinatorial chemistry, Cancer, Chromatography, Materials science, Biology, Chemical engineering, Pharmacology, Botany, Engineering, GeneticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
12Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1, 2023: 8, 2022: 2Per-year citation counts (last 5 years)
- References (count)
-
34Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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