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Abstract Number: 0574

Type I IFN-associated Regulation of Immune Checkpoint Genes in Patients with SLE

Kanwal Zahid Siddiqi1, Amanda Hempel Zinglersen2, Katrine Kjær Iversen1 and Søren Jacobsen2, 1Copenhagen Research Center for Autoimmune Connective Tissue Diseases (COPEACT), Department of Rheumatology 4242, Rigshospitalet, University Hospital of Copenhagen, Copenhagen, Denmark, 2Copenhagen Research Center for Autoimmune Connective Tissue Diseases, Center for Rheumatology and Spine Diseases, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark

Meeting: ACR Convergence 2023

Keywords: Bioinformatics, cytokines, interferon, Systemic lupus erythematosus (SLE)

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Session Information

Date: Sunday, November 12, 2023

Title: (0543–0581) SLE – Diagnosis, Manifestations, & Outcomes Poster I

Session Type: Poster Session A

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

Background/Purpose: Aberrant activation of type I IFN, and subsequent adverse clinical implications, have been widely discussed in relation to SLE. With the lack of consistent data to support an association between disease activity and type I interferon, we hereby explore an alternative role of type I interferon in SLE pathogenesis. Continuous exposure to type I IFN is implicated in regulating immune checkpoint genes in vitro and in the context of a viral infection. Based on these findings, we investigated whether IFN exposure also regulates immune checkpoint genes in SLE, using bulk RNA-seq analysis.

Methods: We measured whole blood RNA-seq in 34 patients fulfilling the 2019 EULAR/ACR classification criteria for SLE and 15 age- and gender-matched healthy controls (HC). SLE disease activity was determined according to the SLE Disease Activity Index 2000 (SLEDAI-2K) score1. Whole blood samples were collected in PAXgene blood tubes (Qiagen) and analyzed for mRNA expression levels of 24 immune checkpoint genes and 12 type I IFN-stimulated genes using NanoString nCounter Technology. All expressions levels were represented as log2 fold change relative to HC. A compound type I IFN gene expression score (IGS) was calculated based on the median log2 fold change of type I IFN-stimulated gene expression and patients were grouped according to low or high IGS (IGS >1). Statistical analyses were performed using R version 3.6.1. and SPSS version 25.

Results: Demographic and clinical characteristics of SLE patients are detailed in Table 1. Twenty-four SLE patients (70%) had a high IGS. We found that genes coding for the immune checkpoints TIM-3 and PD-LG2 were upregulated in SLE patients with a high IFN score compared with HC; log2 fold changes were 0.36 and 0.89 and P-values were 0.0046, 0.0042 for TIM-3 and PD-LG2 respectively. Expression of the immune checkpoint genes paralleled the expression of the IGS but only for those patients who had a high expression of type I IFN stimulated genes (Figure 1). This was confirmed by a generalized linear model analysis showing a significant positive association between the IGS and expression of TIM-3 and PD-LG2 in SLE patients (P= 0.0001 and 0.006, respectively).

The median (range) SLEDAI-2K scores were 4.0 (0–10) and 2.0 (0–5) for the high and low IGS SLE patients, respectively. A generalized linear model analysis showed that SLEDAI-2K scores did not associate with the expression of TIM-3 and PD-LG2, arguing against the notion that differential expression of immune checkpoint genes in high IGS SLE patients may be related to disease activity.

Conclusion: This study revealed differential mRNA expression of immune checkpoint genes TIM-1 and PD-LG2 in a type I IFN-associated manner, which did not associate with disease activity. These results are in line with previous observations that type I IFN activity does not necessarily reflect SLE disease activity. With this, we suggest that persistent type I IFN activation perhaps regulates inhibition of immune cells in SLE patients and other rheumatic diseases characterized by such type I IFN activation.

Supporting image 1

Table 1. Demographics, laboratory, and clinical characteristics of SLE patients

SLEDAI_2K: SLE Disease Activity Index 2000; ANA: anti-nuclear antibodies; dsDNA: double-stranded DNA; Sm: Smith.
*: Azathioprine, mycophenolate mofetil, cyclophosphamide, rituximab, and/or methotrexate.

Supporting image 2

Figure 1. Whole blood gene expression in SLE patients. Scatterplot showing association between mRNA expression of immune checkpoint genes TIM_1 (left) and PD-LG2 (right). Regression lines were determined by a generalised linear model analysis.


Disclosures: K. Siddiqi: None; A. Zinglersen: None; K. Iversen: None; S. Jacobsen: Bristol-Myers Squibb(BMS), 5.

To cite this abstract in AMA style:

Siddiqi K, Zinglersen A, Iversen K, Jacobsen S. Type I IFN-associated Regulation of Immune Checkpoint Genes in Patients with SLE [abstract]. Arthritis Rheumatol. 2023; 75 (suppl 9). https://acrabstracts.org/abstract/type-i-ifn-associated-regulation-of-immune-checkpoint-genes-in-patients-with-sle/. Accessed .
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