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Home » Meeting Abstracts » ACR/ARHP Annual Meeting 2017

Abstract Number: 2326

Modeling Transcriptional Rewiring in Neutrophils through the Course of Treated Juvenile Idiopathic Arthritis

Zihua Hu1, Kaiyu Jiang2, Mark B. Frank3, Yanmin Chen2 and James Jarvis4, 1Center for Computational Research, University at Buffalo, Buffalo, NY, 2Pediatrics, University at Buffalo, Buffalo, NY, 3Arthritis and Clinical Immunology Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, 4Department of Genetics, Genomics & Bioinformatics, University at Buffalo, Buffalo, NY

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Meeting: ACR/ARHP Annual Meeting 2017

Date of first publication: September 18, 2017

Keywords: Gene Expression, Juvenile Arthritis, MicroRNA, neutrophils and treatment

Session Information

Date: Tuesday, November 7, 2017

Title: Pediatric Rheumatology – Pathogenesis and Genetics Poster

Session Type: ACR Poster Session C

Session Time: 9:00AM-11:00AM

Background/Purpose: We have previously shown that neutrophils in children with polyarticular juvenile idiopathic arthritis (JIA) display abnormal transcriptional patterns linked to fundamental metabolic derangements. These transcriptional abnormalities include complex re-ordering of miRNA-RNA expression networks. In the current study, we sought to determine the effects of therapy of the reorganization of miRNA-RNA networks in polyarticular JIA.

Methods: In this cross-sectional analysis, we studied children with untreated, active JIA (ADU-n=35), 26 children with active disease on therapy with methotrexate + etanercept (ADT), and 14 children with inactive disease also on therapy (ID). We used Affymetrix exon and miRNA microarrays to identify expressed transcripts and compared results to findings from 35 healthy control (HC) children.

Results: Computational modeling demonstrated substantial re-ordering of miRNA-RNA networks after the initiation of therapy. Each of the 3 disease states, i.e., ADU, ADT, and ID, was associated with its own distinct transcriptional profile that showed only modest overlaps with the other 2. Gene ontology analysis corroborated this finding, as the genes showing differential expression between each of the disease states and HC were associated with different biological functions. Among the networks, the ADT state differed the most from HC while ID more strongly resembled HC. Computational modeling demonstrated complex interactions between transcription factors and miRNA that determine the gene expression signatures of each disease state.

Conclusion: Therapy for JIA induces substantial re-organization of neutrophil transcriptomes. It is interesting to note that each of the different treatment stages, which we derived from clinical observations (Wallace criteria), appear to be biologically distinct. These findings affirm the value of using the Wallace criteria for staging treatment response in JIA. Furthermore, these findings demonstrate that treatment response is not a linear process that results in gradual “normalization” of transcriptomes. Rather, treatment response occurs in distinct phases each with its own specific pattern of gene expression.


Disclosure: Z. Hu, None; K. Jiang, None; M. B. Frank, None; Y. Chen, None; J. Jarvis, None.

To cite this abstract in AMA style:

Hu Z, Jiang K, Frank MB, Chen Y, Jarvis J. Modeling Transcriptional Rewiring in Neutrophils through the Course of Treated Juvenile Idiopathic Arthritis [abstract]. Arthritis Rheumatol. 2017; 69 (suppl 10). https://acrabstracts.org/abstract/modeling-transcriptional-rewiring-in-neutrophils-through-the-course-of-treated-juvenile-idiopathic-arthritis-2/. Accessed .

ACR Meeting Abstracts - https://acrabstracts.org/abstract/modeling-transcriptional-rewiring-in-neutrophils-through-the-course-of-treated-juvenile-idiopathic-arthritis-2/

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