Abstract
Unbiased genomic screening analyses have highlighted novel immunomodulatory properties of the active form of vitamin D, 1,25-dihydroxyvitamin D (1,25(OH)2D). However, clearer interpretation of the resulting gene expression data is limited by cell model specificity. The aim of the current study was to provide a broader perspective on common gene regulatory pathways associated with innate immune responses to 1,25(OH)2D, through systematic re-interrogation of existing gene expression databases from multiple related monocyte models (the THP-1 monocytic cell line (THP-1), monocyte-derived dendritic cells (DCs), and monocytes). Vitamin D receptor (VDR) expression is common to multiple immune cell types, and thus pathway analysis of gene expression using data from multiple related models provides an inclusive perspective on the immunomodulatory impact of vitamin D. A bioinformatic workflow incorporating pathway analysis using PathVisio and WikiPathways was utilised to compare each set of gene expression data based on pathway level context. Using this strategy, pathways related to the TCA cycle, oxidative phosphorylation and ATP synthesis and metabolism were shown to significantly regulated by 1,25(OH)2D in each of the repository models (Z-scores 3.52 - 8.22). Common regulation by 1,25(OH)2D was also observed for pathways associated with apoptosis and the regulation of apoptosis (Z-scores 2.49 - 3.81). In contrast to the primary culture DC and monocyte models, the THP-1 myelomonocytic cell line showed strong regulation of pathways associated with cell proliferation and DNA replication (Z-scores 6.1 - 12.6). In short, data presented here support a fundamental role for active 1,25(OH)2D as a pivotal regulator of immunometabolism.
Original language | English |
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Journal | Journal of Molecular Endocrinology |
Early online date | 12 Dec 2017 |
DOIs | |
Publication status | E-pub ahead of print - 12 Dec 2017 |
Keywords
- Journal Article
- innate immunity
- immunometabolism
- transcriptomics data
- pathway analysis
- gene ontology analysis