[HTML][HTML] Whole blood expression profiling from the TREAT trial: insights for the pathogenesis of polyarticular juvenile idiopathic arthritis
K Jiang, L Wong, AD Sawle, MB Frank, Y Chen… - Arthritis research & …, 2016 - Springer
K Jiang, L Wong, AD Sawle, MB Frank, Y Chen, CA Wallace, JN Jarvis
Arthritis research & therapy, 2016•SpringerAbstract Background The Trial of Early Aggressive Therapy in Juvenile Idiopathic Arthritis
(TREAT trial) was accompanied by a once-in-a-generation sample collection for
translational research. In this paper, we report the results of whole blood gene expression
analyses and genomic data-mining designed to cast light on the immunopathogenesis of
polyarticular juvenile idiopathic arthritis (JIA). Methods TREAT samples and samples from
an independent cohort were analyzed on Affymetrix microarrays and compared to healthy …
(TREAT trial) was accompanied by a once-in-a-generation sample collection for
translational research. In this paper, we report the results of whole blood gene expression
analyses and genomic data-mining designed to cast light on the immunopathogenesis of
polyarticular juvenile idiopathic arthritis (JIA). Methods TREAT samples and samples from
an independent cohort were analyzed on Affymetrix microarrays and compared to healthy …
Background
The Trial of Early Aggressive Therapy in Juvenile Idiopathic Arthritis (TREAT trial) was accompanied by a once-in-a-generation sample collection for translational research. In this paper, we report the results of whole blood gene expression analyses and genomic data-mining designed to cast light on the immunopathogenesis of polyarticular juvenile idiopathic arthritis (JIA).
Methods
TREAT samples and samples from an independent cohort were analyzed on Affymetrix microarrays and compared to healthy controls. Data from the independent cohort were used to validate the TREAT data. Pathways analysis was used to characterize gene expression profiles. Furthermore, we correlated differential gene expression with new information about functional regulatory elements within the genome to develop models of aberrant gene expression in JIA.
Results
There was a strong concordance in gene expression between TREAT samples and the independent cohort. In addition, rheumatoid factor (RF)-positive and RF-negative patients showed only small differences on whole blood expression profiles. Analysis of the combined samples showed 158 genes represented by 176 probes that showed differential expression between TREAT subjects at baseline and healthy controls. None of the differentially expressed genes were encoded within linkage disequilibrium blocks containing single nucleotide polymorphisms known to be associated with risk for JIA. Functional analysis of these genes showed functional associations with multiple processes associated with innate and adaptive immunity, and appeared to reflect overall suppression of STAT1–3/interferon response factor-mediated pathways.
Conclusions
Despite their limitations, whole blood expression profiles clearly distinguish children with polyarticular JIA from healthy controls. Whole blood expression profiles identify several immunologic pathways of biologic relevance that will need to be pursued in homogeneous cell populations in order to clarify mechanisms of pathogenesis.
Trial registration
ClinicalTrials.gov registry #NCT00443430 , originally registered 2 March 2007 and last updated 30 May 2013.
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