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Abstract Number: 0040

Whole Blood RNA Expression in Clinically Suspected Arthralgia Patients Shows a Potential Value in Prediction of Inflammatory Arthritis

Ellis Niemantsverdriet1, Erik van den Akker1, Debbie Boeters1, Susan van den Eeden1, Annemieke Geluk1 and Annette van der Helm - van Mil2, 1Leiden University Medical Center, Leiden, Netherlands, 2Leiden University Medical Center, Erasmus Medical Center, Leiden, Netherlands

Meeting: ACR Convergence 2020

Keywords: Gene Expression, Insulin-like Growth Factor (IGF), Interleukins, risk factors

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Session Information

Date: Friday, November 6, 2020

Title: Genetics, Genomics & Proteomics Poster

Session Type: Poster Session A

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

Background/Purpose: Rheumatoid arthritis (RA)-patients have differently expressed genes involved in cytokine/chemokine-mediated immunity compared to healthy controls, which are changed years before RA-diagnosis. It is unclear, if immunity genes differ between patients with clinically suspect arthralgia (CSA), the phase that precedes IA-development, that do and do not develop clinically evident inflammatory arthritis (IA), which was investigated in this study with whole blood RNA expression.

Methods: Between April 2012-March 2015, 234 patients were consecutively included in the Leiden CSA-cohort. Follow-up ended when patients developed clinically apparent IA (determined at physical examination), or else after 2-years. RNA expression in whole blood, at the moment of inclusion, was determined for 135 genes of the innate and adaptive immune system by dual color Reverse-Transcription Multiplex Ligation-dependent Probe Amplification (dcRT-MLPA) profiling. Cox proportional hazard models were used to associate time-to-event with gene expression level at inclusion, while adjusting for age, gender, and assay plate. The false discovery rate was used to correct for multiple testing. Genes with significantly different expression were subsequently studied for reproducibility by qPCR, and mutual independence in their association with IA-development. Resulting mutually independent genes were further investigated for their added predictive value over known risk factors, CRP, ACPA, and subclinical joint inflammation.

Results: 20% of CSA-patients developed IA after mean 3.6 months (IQR:1.6-10.7) follow-up. After correction for multiple testing, six genes were significantly associated with IA-development, namely IFN-G, PHEX, IGF-1, IL7R, CD19, or CCR7 (ordered by significance). For all six genes, a lower expression at inclusion was associated with an increased risk of IA-development. IFN-G was only weakly expressed in peripheral blood, hampering the technical reproducibility between MLPA and qPCR results, and was excluded for further analyses. PHEX and IGF-1 were highly correlated (R2 0.97) and only IGF-1, but not PHEX, was included in further analyses. Of the remaining significant genes (IGF-1, IL7R, CD19, CCR7), an independent association with IA-development was observed for IGF-1 and IL7R, but not for CD19 or CCR7. qPCR data of IL7R correlated with MLPA results (p< 0.001), confirming the robustness of the transcriptomic outcome. Lastly, when analysing IGF-1 and IL7R with known clinical predictors, both IGF-1 and IL7R remained independently associated with progression to IA.

Conclusion: IGF-1 and IL-7R were differentially expressed between CSA-patients that did or did not progress to IA, which was independent of known predictors. This also supports T cell mediation in the phase of arthralgia, before progression to IA.

Figure 1 Association between RNA expression divided in tertiles of IGF-1 (A) and IL7R (B), and development of inflammatory arthritis


Disclosure: E. Niemantsverdriet, None; E. van den Akker, None; D. Boeters, None; S. van den Eeden, None; A. Geluk, None; A. van der Helm - van Mil, None.

To cite this abstract in AMA style:

Niemantsverdriet E, van den Akker E, Boeters D, van den Eeden S, Geluk A, van der Helm - van Mil A. Whole Blood RNA Expression in Clinically Suspected Arthralgia Patients Shows a Potential Value in Prediction of Inflammatory Arthritis [abstract]. Arthritis Rheumatol. 2020; 72 (suppl 10). https://acrabstracts.org/abstract/whole-blood-rna-expression-in-clinically-suspected-arthralgia-patients-shows-a-potential-value-in-prediction-of-inflammatory-arthritis/. Accessed .
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