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Functional interpretation of metabolomics data as a new method for predicting long-term side effects: treatment of atopic dermatitis in infants

Topical steroids are used for the treatment of primary atopic dermatitis (AD); however, their associated risk of serious complications is great due to the presence of vulnerable lesions in young children with AD. Topical calcineurin inhibitors (TCIs) are steroid-free, anti-inflammatory agents used f...

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Autores principales: Lee, Seul Ji, Woo, Sung-il, Ahn, Soo Hyun, Lim, Dong Kyu, Hong, Ji Yeon, Park, Jeong Hill, Lim, Johan, Kim, Mi-kyeong, Kwon, Sung Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5376984/
https://www.ncbi.nlm.nih.gov/pubmed/25491116
http://dx.doi.org/10.1038/srep07408
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author Lee, Seul Ji
Woo, Sung-il
Ahn, Soo Hyun
Lim, Dong Kyu
Hong, Ji Yeon
Park, Jeong Hill
Lim, Johan
Kim, Mi-kyeong
Kwon, Sung Won
author_facet Lee, Seul Ji
Woo, Sung-il
Ahn, Soo Hyun
Lim, Dong Kyu
Hong, Ji Yeon
Park, Jeong Hill
Lim, Johan
Kim, Mi-kyeong
Kwon, Sung Won
author_sort Lee, Seul Ji
collection PubMed
description Topical steroids are used for the treatment of primary atopic dermatitis (AD); however, their associated risk of serious complications is great due to the presence of vulnerable lesions in young children with AD. Topical calcineurin inhibitors (TCIs) are steroid-free, anti-inflammatory agents used for topical AD therapy. However, their use is prohibited in infants <2 years of age because of their carcinogenic potential. We conducted a randomized, double-blind trial to evaluate the efficacy of TCIs as a secondary AD treatment for children <2 years of age by comparing 1% pimecrolimus cream with 0.05% desonide cream. We performed urinary metabolomics to predict long-term side effects. The 1% pimecrolimus cream displayed similar efficacy and exceptional safety compared with the 0.05% desonide cream. Metabolomics-based long-term toxicity tests effectively predicted long-term side effects using short-term clinical models. This applicable method for the functional interpretation of metabolomics data sets the foundation for future studies involving the prediction of the toxicity and systemic reactions caused by long-term medication administration.
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spelling pubmed-53769842017-04-05 Functional interpretation of metabolomics data as a new method for predicting long-term side effects: treatment of atopic dermatitis in infants Lee, Seul Ji Woo, Sung-il Ahn, Soo Hyun Lim, Dong Kyu Hong, Ji Yeon Park, Jeong Hill Lim, Johan Kim, Mi-kyeong Kwon, Sung Won Sci Rep Article Topical steroids are used for the treatment of primary atopic dermatitis (AD); however, their associated risk of serious complications is great due to the presence of vulnerable lesions in young children with AD. Topical calcineurin inhibitors (TCIs) are steroid-free, anti-inflammatory agents used for topical AD therapy. However, their use is prohibited in infants <2 years of age because of their carcinogenic potential. We conducted a randomized, double-blind trial to evaluate the efficacy of TCIs as a secondary AD treatment for children <2 years of age by comparing 1% pimecrolimus cream with 0.05% desonide cream. We performed urinary metabolomics to predict long-term side effects. The 1% pimecrolimus cream displayed similar efficacy and exceptional safety compared with the 0.05% desonide cream. Metabolomics-based long-term toxicity tests effectively predicted long-term side effects using short-term clinical models. This applicable method for the functional interpretation of metabolomics data sets the foundation for future studies involving the prediction of the toxicity and systemic reactions caused by long-term medication administration. Nature Publishing Group 2014-12-10 /pmc/articles/PMC5376984/ /pubmed/25491116 http://dx.doi.org/10.1038/srep07408 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Article
Lee, Seul Ji
Woo, Sung-il
Ahn, Soo Hyun
Lim, Dong Kyu
Hong, Ji Yeon
Park, Jeong Hill
Lim, Johan
Kim, Mi-kyeong
Kwon, Sung Won
Functional interpretation of metabolomics data as a new method for predicting long-term side effects: treatment of atopic dermatitis in infants
title Functional interpretation of metabolomics data as a new method for predicting long-term side effects: treatment of atopic dermatitis in infants
title_full Functional interpretation of metabolomics data as a new method for predicting long-term side effects: treatment of atopic dermatitis in infants
title_fullStr Functional interpretation of metabolomics data as a new method for predicting long-term side effects: treatment of atopic dermatitis in infants
title_full_unstemmed Functional interpretation of metabolomics data as a new method for predicting long-term side effects: treatment of atopic dermatitis in infants
title_short Functional interpretation of metabolomics data as a new method for predicting long-term side effects: treatment of atopic dermatitis in infants
title_sort functional interpretation of metabolomics data as a new method for predicting long-term side effects: treatment of atopic dermatitis in infants
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5376984/
https://www.ncbi.nlm.nih.gov/pubmed/25491116
http://dx.doi.org/10.1038/srep07408
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