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. 2020 May 7;21:107. doi: 10.1186/s12931-020-01351-x

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© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

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Fig. 5 — miRNAs correlated to increased inhaled corticosteroid usage are enriched in immune associated genes. As miR-155 and miR-146a both positively correlated to inhaled corticosteroid usage, common gene targets were identified and pathway analysis was performed. (a) Predicted and verified targets for miR-155 and miR-146a were compared. Common gene targets are shown in the box. (b) Shows all common connected gene targets. The protein-protein interaction value for the analysis was significant (p = 0.00336). Targets identified as being involved in immune processes are colored: response to glucocorticoid (red), positive regulation of leukocyte migration (blue) and leukocyte activation (green). Pathways were generated using String [39]