Dataset Information

A systems biology approach identifies ANP32E and other biomarkers of glucocorticoid refractoriness in ulcerative colitis [microarray]

ABSTRACT: BACKGROUND: Glucocorticoid (GC) refractoriness is a common and unpredictable phenomenon in ulcerative colitis (UC). Although it has been demonstrated that NFkB is involved in its mechanism of action (MoA), there are no conclusive studies on the molecular functions involved. The current study describes in depth the MoA related to GC failure, by integrating transcriptomic data from UC patients, and updated molecular data on UC and GC. METHODS: miRNA and mRNA expression from rectal biopsies of active UC patients, obtained before and on the 3rd day of GC treatment, were evaluated by sequencing and microarrays, respectively. The differential results obtained were integrated into the mathematical models generated by Systems Biology. RESULTS: This computational approach identified 64 proteins, among which 18 stand out, either by being associated to the MoA or by providing a major capacity to classify the patients according to GC response. The biological functions of these proteins have been linked with inflammation, machinery GC-induced transcription and angiogenesis. All the selected proteins but one —Acidic leucine-rich Nuclear Phosphoprotein 32 family member E (ANP32E) — had previously been related to UC and/or GC-induced biological actions. ANP32E has been linked to the exchange of H2A to H2A.z histone, which promotes CG receptor complex-activated transcription. Western blot and immunofluorescence assays confirmed the predictive results obtained by Systems Biology. CONCLUSIONS: A comprehensive MoA of GC refractoriness has been described, highlighting the key role of GC-induced transcription in this phenomenon. Several proteins have been identified as putative predictors of GC refractoriness.

ORGANISM(S): Homo sapiens

PROVIDER: GSE114527 | GEO | 2018/11/06

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Our group used rectal biopsies from patients with active ulcerative colitis (UC) and differential response to glucocorticoid treatment, to generate a predictive computational strategy based on systems biology. Contrasting mRNA and miRNAs intestinal expression profiles with updated molecular information related to UC and glucocorticoids, we were able to identify a mechanism of action (MoA) associated with corticosteroid failure in UC. ith the aim of transferring these results to clinical practice, the MoA-models created previously were implemented with plasmatic miRNAs profiles, to describe in silico non-invasive potential biomarkers of glucocorticoid refractoriness. Small RNA-seq analysis was perfomed using Illumina next generation sequencing and standard statistical criteria were applied to compare the miRNA profiles, incluidng paired samples before clucocorticoid treatment to the third day of the steroidal treatment. The selection these miRNA with predictive capacity was done using two complementary strategies: the first one using all the obtained miRNAs, and the second taking into account those miRNAs that are directly related to MoA, through various statistical restrictions (RELIEF, ENTROPY + CORRELATION, WILCOXON, ROC, and simple REGRESSION). These computational approaches from all miRNAs identified hsa-miR218-5p as the best to classify patients according their respond at basal time (Accuracy = 84.21%, Generalization Capability = 84.21%, Sensitivity = 100% and Specificity = 66.67%). In addition, the combination of this miRNA with hsa-miR6754-5p and hsa-miR4767, increases the diagnosis accuracy of the disease (Accuracy = 94.74%, Generalization Capability = 75.44%, Sensitivity = 70% and specificity = 81.48%). On the other hand, the combination of hsa-miR218-5p and the plasma levels of the Protein C Reactive increases the ability to classify patients towards their response to glucocorticoids up to 89%. Taking in account all this data, we can conclude that by means of a computer strategy based on Biology of Systems we have identified the plasmatic miR-218-5p as a potential biomarker to glucocorticoid response in UC before start the treatment.

Dataset Information

A systems biology approach identifies ANP32E and other biomarkers of glucocorticoid refractoriness in ulcerative colitis [microarray]

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets