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Artificial Neural Network Modeling of Nanostructured Lipid Carriers Containing 5-O-Caffeoylquinic Acid-Rich Cratoxylum formosum Leaf Extract for Skin Application
Purpose: To investigate the in vitro anti-skin-aging properties of Cratoxylum formosum extract and encapsulate this plant extract in nanostructured lipid carriers (CFE-NLCs) for dermal application. Methods: The biological properties of the plant extract, including enhanced procollagen type I synthes...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tabriz University of Medical Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675925/ https://www.ncbi.nlm.nih.gov/pubmed/36415630 http://dx.doi.org/10.34172/apb.2022.082 |
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author | Navabhatra, Abhiruj Brantner, Adelheid Yingngam, Bancha |
author_facet | Navabhatra, Abhiruj Brantner, Adelheid Yingngam, Bancha |
author_sort | Navabhatra, Abhiruj |
collection | PubMed |
description | Purpose: To investigate the in vitro anti-skin-aging properties of Cratoxylum formosum extract and encapsulate this plant extract in nanostructured lipid carriers (CFE-NLCs) for dermal application. Methods: The biological properties of the plant extract, including enhanced procollagen type I synthesis and anti-matrix metalloproteinase activity, were evaluated to assess its cosmetic benefits. An artificial neural network (ANN) coupled with K-fold cross-validation was applied to investigate the effects of the formulants and optimize the CFE-NLCs. The physicochemical properties, percutaneous absorption, and irritation potential of the CFE-NLCs were analyzed. Results: Liquid chromatography-mass spectrometry analysis revealed that CFE contained 5-O-caffeoylquinic acid as the vital constituent. Appropriate skin-care properties were also demonstrated with respect to enhanced type I procollagen synthesis and the inhibition of MMP-1, MMP-3, and MMP-9 in primary human dermal fibroblasts. The optimal CFE-NLCs exhibited better skin absorption and biocompatibility and lower irritation potential than the free botanical extract solution. Conclusion: The findings obtained highlight CFE-NLCs as promising skin-care ingredients. |
format | Online Article Text |
id | pubmed-9675925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Tabriz University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-96759252022-11-21 Artificial Neural Network Modeling of Nanostructured Lipid Carriers Containing 5-O-Caffeoylquinic Acid-Rich Cratoxylum formosum Leaf Extract for Skin Application Navabhatra, Abhiruj Brantner, Adelheid Yingngam, Bancha Adv Pharm Bull Research Article Purpose: To investigate the in vitro anti-skin-aging properties of Cratoxylum formosum extract and encapsulate this plant extract in nanostructured lipid carriers (CFE-NLCs) for dermal application. Methods: The biological properties of the plant extract, including enhanced procollagen type I synthesis and anti-matrix metalloproteinase activity, were evaluated to assess its cosmetic benefits. An artificial neural network (ANN) coupled with K-fold cross-validation was applied to investigate the effects of the formulants and optimize the CFE-NLCs. The physicochemical properties, percutaneous absorption, and irritation potential of the CFE-NLCs were analyzed. Results: Liquid chromatography-mass spectrometry analysis revealed that CFE contained 5-O-caffeoylquinic acid as the vital constituent. Appropriate skin-care properties were also demonstrated with respect to enhanced type I procollagen synthesis and the inhibition of MMP-1, MMP-3, and MMP-9 in primary human dermal fibroblasts. The optimal CFE-NLCs exhibited better skin absorption and biocompatibility and lower irritation potential than the free botanical extract solution. Conclusion: The findings obtained highlight CFE-NLCs as promising skin-care ingredients. Tabriz University of Medical Sciences 2022-08 2021-10-06 /pmc/articles/PMC9675925/ /pubmed/36415630 http://dx.doi.org/10.34172/apb.2022.082 Text en ©2022 The Authors. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution (CC BY), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers. |
spellingShingle | Research Article Navabhatra, Abhiruj Brantner, Adelheid Yingngam, Bancha Artificial Neural Network Modeling of Nanostructured Lipid Carriers Containing 5-O-Caffeoylquinic Acid-Rich Cratoxylum formosum Leaf Extract for Skin Application |
title |
Artificial Neural Network Modeling of Nanostructured Lipid Carriers Containing 5-O-Caffeoylquinic Acid-Rich Cratoxylum formosum Leaf Extract for Skin Application
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title_full |
Artificial Neural Network Modeling of Nanostructured Lipid Carriers Containing 5-O-Caffeoylquinic Acid-Rich Cratoxylum formosum Leaf Extract for Skin Application
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title_fullStr |
Artificial Neural Network Modeling of Nanostructured Lipid Carriers Containing 5-O-Caffeoylquinic Acid-Rich Cratoxylum formosum Leaf Extract for Skin Application
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title_full_unstemmed |
Artificial Neural Network Modeling of Nanostructured Lipid Carriers Containing 5-O-Caffeoylquinic Acid-Rich Cratoxylum formosum Leaf Extract for Skin Application
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title_short |
Artificial Neural Network Modeling of Nanostructured Lipid Carriers Containing 5-O-Caffeoylquinic Acid-Rich Cratoxylum formosum Leaf Extract for Skin Application
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title_sort | artificial neural network modeling of nanostructured lipid carriers containing 5-o-caffeoylquinic acid-rich cratoxylum formosum leaf extract for skin application |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675925/ https://www.ncbi.nlm.nih.gov/pubmed/36415630 http://dx.doi.org/10.34172/apb.2022.082 |
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