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Abstract Number: 1934

microRNA Targeting IL-33 Gene As Biomarker to Predict Subclinical Atherosclerosis in Patients with Early Rheumatoid Arthritis

Isaac T. Cheng1, Qing Shang2, Jiayun Shen3, Martin Li3, Queenie Mak2, Kitty Y Kwok4, Isaac CW Yim5, Edmund Kwok Ming Li2, Priscilla Wong1, Ronald ML Yip6, Steve H Pang6 and Lai-Shan Tam7, 1Department of Medicine & Therapeutics, The Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China, Hong Kong, China, 2Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, Hong Kong, 3Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, Hong Kong, 4Department of Medicine, Queen Elizabeth Hospital, Hong Kong, Hong Kong, 5Department of Medicine, Tseung Kwan O Hospital, Hong Kong, Hong Kong, 6Department of Medicine, Kwong Wah Hospital, Hong Kong, Hong Kong, 7Department of Medicine & Therapeutics, The Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China, Hong Kong, Hong Kong

Meeting: 2018 ACR/ARHP Annual Meeting

Keywords: Early Rheumatoid Arthritis, MicroRNA and atherosclerosis

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Session Information

Date: Monday, October 22, 2018

Title: 4M105 ACR Abstract: RA–DX, Manifestations, & Outcomes III: Diagnosis & Prognosis II (1929–1934)

Session Type: ACR Concurrent Abstract Session

Session Time: 4:30PM-6:00PM

Background/Purpose:
Patients with RA had increased risk of cardiovascular disease (CVD). Interleukin 33 (IL-33) plays an important role in pathogenesis of RA and development of CVD. Plasma IL-33 level was undetectable in most subjects that limits its utility as CVD biomarker. MicroRNAs (miRNAs) function as post transcription regulators of gene expression. This study aimed to ascertain if dysregulated miRNAs targeting IL-33 gene expression were associated with subclinical atherosclerosis in early RA patients

Methods:
76 ERA patients were recruited in this 1 year study. Potential miRNAs binding to 3’UTR of IL-33 gene were predicted by miRanda1. 10 miRNAs with highest possibility targeting functional sites of IL-33 gene were quantified in cell free plasma samples by real time PCR. Carotid IMT and plaque were identified using high-resolution B mode ultrasound annually. Carotid plaque (CP+) was defined as a localized thickening >1.2 mm. Plaque progression (PP+) was defined as increased region harboring plaque

Results:
miRNA were detected in >80% of subjects. CP were identified in 26/76 (34%) subjects (CP+ group) at baseline. The CP+ group were predominantly male, older, with a higher CRP level and a prevalence of multiple CV risk factors. Plasma level of miR-186-5p was significantly higher in the CP+ (Fig 1). Using multivariate logistic regression, miRNA-186-5p was independent predictor for presence of CP (Table 1). ROC showed that increased miRNA-186-5p expression level could discriminate patients with and without CP [Area under the ROC (AUC): 0.658, p=0.024]

73 subject were followed until year 1. 16/73 (22%) subject had plaque progression. Subjects in the PP+ group were older, had higher prevalence of multiple CV risk factors, with lower pain and patient global score at baseline. A higher proportion of them were on conventional synthetic DMARDs. miR-382-5p expression level was significantly higher in subjects in PP+ group (Fig 1). Using multivariate logistic regression, miRNA-382-5p level was an independent predictor for plaque progression (Table 1). ROC analysis showed that miR-382-5p level could discriminate patients with and without PP (AUC was 0.66, p=0.048)

Conclusion:
Increased expression of miR-186-5p and miR-382-5p was independent predictor for presence & progression of subclinical atherosclerosis. This suggest that circulating miRNA may serve as novel biomarkers for CV risk stratification in ERA patients

Acknowledgement to Hong Kong Society of Rheumatology Project Fund for supporting this project

 Table 1 – Multivariate analysis on presence and progression of carotid plaque

OR

95%CI

p

Model for determining presence of carotid plaque1

Framingham Risk Score, baseline

1.113

1.033-1.200

0.005

miR_186_5p

1.919

1.096-3.361

0.023

Model for determining progression of carotid plaque2

VAS Pain (0-10cm), baseline

0.513

0.318-0.827

0.006

Diastolic Blood Pressure, mmHg, baseline

1.093

1.010-1.183

0.028

Framingham Risk Score, baseline

1.188

1.057-1.336

0.004

miR_382_5p

2.534

1.079-5.952

0.033

1 Adjusted for age, gender, baseline CRP and Framingham risk score; 2Adjusted for age, gender, baseline VAS pain, diastolic blood pressure, Framingham risk score and use of csDMARDs.; CRP:C-reactive protein;  csDMARDs: conventional synthetic disease modifying anti-rheumatic drugs; bDMARDs: biologic disease modifying anti-rheumatic drugs.

Reference
1 www.microRNA.org


Disclosure: I. T. Cheng, None; Q. Shang, None; J. Shen, None; M. Li, None; Q. Mak, None; K. Y. Kwok, None; I. C. Yim, None; E. K. M. Li, None; P. Wong, None; R. M. Yip, None; S. H. Pang, None; L. S. Tam, None.

To cite this abstract in AMA style:

Cheng IT, Shang Q, Shen J, Li M, Mak Q, Kwok KY, Yim IC, Li EKM, Wong P, Yip RM, Pang SH, Tam LS. microRNA Targeting IL-33 Gene As Biomarker to Predict Subclinical Atherosclerosis in Patients with Early Rheumatoid Arthritis [abstract]. Arthritis Rheumatol. 2018; 70 (suppl 9). https://acrabstracts.org/abstract/microrna-targeting-il-33-gene-as-biomarker-to-predict-subclinical-atherosclerosis-in-patients-with-early-rheumatoid-arthritis/. Accessed .
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