Literature DB >> 26112986

The use of gene arrays and corresponding connectivity mapping (Cmap) to identify novel anti-ageing ingredients.

J M Gillbro1, E Merinville2, M Olsson3, T Al-Bader1, A Klack1, L Visdal-Johnsen1, A Mavon1.   

Abstract

OBJECTIVE: The need for effective 'anti-ageing' treatments, in particular for the management of photodamaged skin, prompted us to develop a novel method to identify new active ingredients. The model utilized a gene profiling study with corresponding connectivity mapping (Cmap) to identify novel anti-ageing compounds using all-trans retinoic acid (RA) as the lead compound due to its beneficial effect on photodamaged skin and skin firmness.
METHOD: A vehicle-controlled clinical study including nine healthy Caucasian female volunteers aged 57 ± 7 (mean ± SEM) exhibiting photodamage on their lower outer forearms was conducted. The volunteers applied RA once daily on photodamaged skin for 7 days, and biopsies were subjected to Affymetrix gene arrays. Connectivity mapping (Cmap), examining hundreds of gene expression profiles, was run on the gene signature of RA-treated photodamaged skin to identify small bioactive compounds.
RESULTS: Affymetrix gene array identified 19 genes significantly differentially expressed after application of RA. Corresponding Cmap analysis revealed six natural bioactive compounds including N-acetyl aspartic acid (A-A-A) showing similar activity to RA on the differentially expressed genes identified.
CONCLUSION: Based on RA mimicking gene array activity, potential use within skincare on molecular size, safety assessment and sourcing, we identified the natural amino acid, A-A-A as a potential candidate to treat ageing skin.
© 2015 Society of Cosmetic Scientists and the Société Française de Cosmétologie.

Entities:  

Keywords:  acetyl aspartic acid (A-A-A); connectivity mapping (Cmap); gene array; retinoic acid; retinoids

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Year:  2015        PMID: 26112986     DOI: 10.1111/ics.12251

Source DB:  PubMed          Journal:  Int J Cosmet Sci        ISSN: 0142-5463            Impact factor:   2.970


  2 in total

1.  Epigenetic Biomarkers Screening of Non-Coding RNA and DNA Methylation Based on Peripheral Blood Monocytes in Smokers.

Authors:  Xiaowei Huang; Bian Wu; Fangxue Zhang; Fancheng Chen; Yong Zhang; Huizhi Guo; Hongtao Zhang
Journal:  Front Genet       Date:  2022-02-11       Impact factor: 4.772

2.  Identification of hub genes, key pathways, and therapeutic agents in Hutchinson-Gilford Progeria syndrome using bioinformatics analysis.

Authors:  Dengchuan Wang; Shengshuo Liu; Shi Xu
Journal:  Medicine (Baltimore)       Date:  2020-02       Impact factor: 1.817

  2 in total

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