Session Information
Date: Monday, November 14, 2016
Title: Systemic Lupus Erythematosus – Human Etiology and Pathogenesis - Poster I
Session Type: ACR Poster Session B
Session Time: 9:00AM-11:00AM
Background/Purpose: T cell DNA methylation defects play an important role in the pathogenesis of systemic lupus erythematosus. A CD4+CD28+ T cell subset characterized by overexpression of methylation sensitive genes, including CD11a and the KIR gene cluster, has been recently described in autoimmunity. The goal of this study was to characterize this T cell subset in vitro and in patients with SLE.
Methods: The size of the CD4+CD28+KIR+CD11ahi T cell subset was determined by flow cytometry in 49 female lupus patients of European descent. SLEDAI scores were calculated at the time of blood draw, and all patients were genotyped across 43 confirmed lupus susceptibility loci and a total genetic risk score for lupus was calculated. CD4+CD28+KIR+CD11ahi and CD4+CD28+KIR-CD11alow T cells were isolated from peripheral blood samples of normal healthy individuals after in vitro treatment with 5-azacytidine, and genome-wide DNA methylation and RNA sequencing was performed in both subsets. RNA sequences in the CDR3 region were used to assess the TCR repertoire.
Results:
Conclusion:
To cite this abstract in AMA style:
Renauer P, Coit P, Strickland F, Gensterblum E, Ognenovski M, Richardson B, Sawalha A. Demethylated CD4+CD28+KIR+CD11ahi T Cells Are Characterized By a Pro-Inflammatory Transcriptome and Interact with Genetic Risk to Predict Disease Activity in Lupus [abstract]. Arthritis Rheumatol. 2016; 68 (suppl 10). https://acrabstracts.org/abstract/demethylated-cd4cd28kircd11ahi-t-cells-are-characterized-by-a-pro-inflammatory-transcriptome-and-interact-with-genetic-risk-to-predict-disease-activity-in-lupus/. Accessed .« Back to 2016 ACR/ARHP Annual Meeting
ACR Meeting Abstracts - https://acrabstracts.org/abstract/demethylated-cd4cd28kircd11ahi-t-cells-are-characterized-by-a-pro-inflammatory-transcriptome-and-interact-with-genetic-risk-to-predict-disease-activity-in-lupus/