Literature DB >> 32486109

Testing the Effectiveness of Curcuma longa Leaf Extract on a Skin Equivalent Using a Pumpless Skin-on-a-Chip Model.

Kyunghee Kim1,2, Hye Mi Jeon1,2, Kyung Chan Choi3, Gun Yong Sung1,2,4.   

Abstract

The in vitro tests in current research employ simple culture methods that fail to mimic the real human tissue. In this study, we report drug testing with a 'pumpless skin-on-a-chip' that mimics the structural and functional responses of human skin. This model is a skin equivalent constituting two layers of the skin, dermis and epidermis, developed using human primary fibroblasts and keratinocytes. Using the gravity flow device system, the medium was rotated at an angle of 15 degrees on both sides so as to circulate through the pumpless skin-on-a-chip microfluidic channel. This pumpless skin-on-a-chip is composed of upper and lower chips, and is manufactured using porous membranes so that medium can be diffused and supplied to the skin equivalent. Drug testing was performed using Curcuma longa leaf extract (CLLE), a natural product cosmetic ingredient, to evaluate the usefulness of the chip and the efficacy of the cosmetic ingredient. It was found that the skin barrier function of the skin epidermis layer is enhanced to exhibit antiaging effects. This result indicates that the pumpless skin-on-a-chip model can be potentially used not only in the cosmetics and pharmaceutical industries but also in clinical applications as an alternative to animal studies.

Entities:  

Keywords:  Curcuma longa; antiaging; human-skin equivalents; microphysiological system; pumpless skin-on-a-chip

Year:  2020        PMID: 32486109     DOI: 10.3390/ijms21113898

Source DB:  PubMed          Journal:  Int J Mol Sci        ISSN: 1422-0067            Impact factor:   5.923


  9 in total

Review 1.  Microfluidic Organ-on-a-Chip System for Disease Modeling and Drug Development.

Authors:  Zening Li; Jianan Hui; Panhui Yang; Hongju Mao
Journal:  Biosensors (Basel)       Date:  2022-05-27

Review 2.  Microphysiological systems: What it takes for community adoption.

Authors:  Passley Hargrove-Grimes; Lucie A Low; Danilo A Tagle
Journal:  Exp Biol Med (Maywood)       Date:  2021-04-25

3.  Effect of α-Lipoic Acid on the Development of Human Skin Equivalents Using a Pumpless Skin-on-a-Chip Model.

Authors:  Kyunghee Kim; Jisue Kim; Hyoungseob Kim; Gun Yong Sung
Journal:  Int J Mol Sci       Date:  2021-02-22       Impact factor: 5.923

4.  Development of an Aged Full-Thickness Skin Model Using Flexible Skin-on-a-Chip Subjected to Mechanical Stimulus Reflecting the Circadian Rhythm.

Authors:  Subin Jeong; Jisue Kim; Hye Mi Jeon; Kyunghee Kim; Gun Yong Sung
Journal:  Int J Mol Sci       Date:  2021-11-26       Impact factor: 5.923

Review 5.  Modeling an Optimal 3D Skin-on-Chip within Microfluidic Devices for Pharmacological Studies.

Authors:  Estibaliz Fernandez-Carro; Maricke Angenent; Tamara Gracia-Cazaña; Yolanda Gilaberte; Clara Alcaine; Jesús Ciriza
Journal:  Pharmaceutics       Date:  2022-07-06       Impact factor: 6.525

Review 6.  Tear Biomarkers in Alzheimer's and Parkinson's Diseases, and Multiple Sclerosis: Implications for Diagnosis (Systematic Review).

Authors:  Angelika Król-Grzymała; Edyta Sienkiewicz-Szłapka; Ewa Fiedorowicz; Dominika Rozmus; Anna Cieślińska; Andrzej Grzybowski
Journal:  Int J Mol Sci       Date:  2022-09-04       Impact factor: 6.208

7.  Skin Barrier Reinforcement Effect Assessment of a Spot-on Based on Natural Ingredients in a Dog Model of Tape Stripping.

Authors:  Adrien Idée; Marion Mosca; Didier Pin
Journal:  Vet Sci       Date:  2022-07-28

8.  Skin-on-a-chip models: General overview and future perspectives.

Authors:  I Risueño; L Valencia; J L Jorcano; D Velasco
Journal:  APL Bioeng       Date:  2021-07-08

Review 9.  Development of Skin-On-A-Chip Platforms for Different Utilizations: Factors to Be Considered.

Authors:  J Ponmozhi; S Dhinakaran; Zsófia Varga-Medveczky; Katalin Fónagy; Luca Anna Bors; Kristóf Iván; Franciska Erdő
Journal:  Micromachines (Basel)       Date:  2021-03-10       Impact factor: 2.891

  9 in total

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