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Elucidating mechanistic insights into drug action for atopic dermatitis: a systems biology approach
BACKGROUND: Topical Betamethasone (BM) and Pimecrolimus (PC) are widely used drugs in the treatment of atopic dermatitis (AD). Though the biomolecules and biological pathways affected by the drugs are known, the causal inter-relationships among these pathways in the context of skin is not available....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5803917/ https://www.ncbi.nlm.nih.gov/pubmed/29415693 http://dx.doi.org/10.1186/s12895-018-0070-4 |
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author | Subramanian, Indhupriya Singh, Vivek K. Jere, Abhay |
author_facet | Subramanian, Indhupriya Singh, Vivek K. Jere, Abhay |
author_sort | Subramanian, Indhupriya |
collection | PubMed |
description | BACKGROUND: Topical Betamethasone (BM) and Pimecrolimus (PC) are widely used drugs in the treatment of atopic dermatitis (AD). Though the biomolecules and biological pathways affected by the drugs are known, the causal inter-relationships among these pathways in the context of skin is not available. We aim to derive this insight by using transcriptomic data of AD skin samples treated with BM and PC using systems biology approach. METHODS: Transcriptomic datasets of 10 AD patients treated with Betamethasone and Pimecrolimus were obtained from GEO datasets. We used a novel computational platform, eSkIN (www.persistent.com/eskin), to perform pathway enrichment analysis for the given datasets. eSkIN consists of 35 skin specific pathways, thus allowing skin-centric analysis of transcriptomic data. Fisher’s exact test was used to compute the significance of the pathway enrichment. The enriched pathways were further analyzed to gain mechanistic insights into the action of these drugs. RESULTS: Our analysis highlighted the molecular details of the mechanism of action of the drugs and corroborated the known facts about these drugs i.e. BM is more effective in triggering anti-inflammatory response but also causes more adverse effect on skin barrier than PC. In particular, eSkIN helped enunciate the biological pathways activated by these drugs to trigger anti-inflammatory response and its effect on skin barrier. BM suppresses pathways like TNF and TLRs, thus inhibiting NF-κB while PC targets inflammatory genes like IL13 and IL6 via known calcineurin-NFAT pathway. Furthermore, we show that the reduced skin barrier function by BM is due to the suppression of activators like AP1 transcription factors, CEBPs. CONCLUSION: We thus demonstrate the detailed mechanistic insight into drug action of AD using a novel computational approach. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12895-018-0070-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5803917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58039172018-02-14 Elucidating mechanistic insights into drug action for atopic dermatitis: a systems biology approach Subramanian, Indhupriya Singh, Vivek K. Jere, Abhay BMC Dermatol Research Article BACKGROUND: Topical Betamethasone (BM) and Pimecrolimus (PC) are widely used drugs in the treatment of atopic dermatitis (AD). Though the biomolecules and biological pathways affected by the drugs are known, the causal inter-relationships among these pathways in the context of skin is not available. We aim to derive this insight by using transcriptomic data of AD skin samples treated with BM and PC using systems biology approach. METHODS: Transcriptomic datasets of 10 AD patients treated with Betamethasone and Pimecrolimus were obtained from GEO datasets. We used a novel computational platform, eSkIN (www.persistent.com/eskin), to perform pathway enrichment analysis for the given datasets. eSkIN consists of 35 skin specific pathways, thus allowing skin-centric analysis of transcriptomic data. Fisher’s exact test was used to compute the significance of the pathway enrichment. The enriched pathways were further analyzed to gain mechanistic insights into the action of these drugs. RESULTS: Our analysis highlighted the molecular details of the mechanism of action of the drugs and corroborated the known facts about these drugs i.e. BM is more effective in triggering anti-inflammatory response but also causes more adverse effect on skin barrier than PC. In particular, eSkIN helped enunciate the biological pathways activated by these drugs to trigger anti-inflammatory response and its effect on skin barrier. BM suppresses pathways like TNF and TLRs, thus inhibiting NF-κB while PC targets inflammatory genes like IL13 and IL6 via known calcineurin-NFAT pathway. Furthermore, we show that the reduced skin barrier function by BM is due to the suppression of activators like AP1 transcription factors, CEBPs. CONCLUSION: We thus demonstrate the detailed mechanistic insight into drug action of AD using a novel computational approach. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12895-018-0070-4) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-07 /pmc/articles/PMC5803917/ /pubmed/29415693 http://dx.doi.org/10.1186/s12895-018-0070-4 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Subramanian, Indhupriya Singh, Vivek K. Jere, Abhay Elucidating mechanistic insights into drug action for atopic dermatitis: a systems biology approach |
title | Elucidating mechanistic insights into drug action for atopic dermatitis: a systems biology approach |
title_full | Elucidating mechanistic insights into drug action for atopic dermatitis: a systems biology approach |
title_fullStr | Elucidating mechanistic insights into drug action for atopic dermatitis: a systems biology approach |
title_full_unstemmed | Elucidating mechanistic insights into drug action for atopic dermatitis: a systems biology approach |
title_short | Elucidating mechanistic insights into drug action for atopic dermatitis: a systems biology approach |
title_sort | elucidating mechanistic insights into drug action for atopic dermatitis: a systems biology approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5803917/ https://www.ncbi.nlm.nih.gov/pubmed/29415693 http://dx.doi.org/10.1186/s12895-018-0070-4 |
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