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Abstract Number: 0831

JDM Proteomic Signature at Disease Onset and Progression Highlights Persistent Dysregulation of Cell Death, Redox and Innate Immune Signaling

Jessica Neely1, Jeff Dvergsten2, Zilan Zheng1, Chioma Madubata3, Hanna Kim4, Sara Sabbagh5, Sophia Matossian6, Christine Goudsmit6, Celine Berthier6 and Jessica Turnier7, and for the CARRA Registry Investigators and Translational Medicine for Juvenile Myositis Working Group, 1UCSF, San Francisco, CA, 2Duke University Hospital, Hillsborough, NC, 3University of California, San Francisco, San Francisco, CA, 4National Institute of Arthritis Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, 5Medical College of Wisconsin, Milwaukee, WI, 6University of Michigan, Ann Arbor, MI, 7University of Michigan, Saline, MI

Meeting: ACR Convergence 2024

Keywords: dermatomyositis, Pediatric rheumatology, proteomics

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Session Information

Date: Saturday, November 16, 2024

Title: Abstracts: Pediatric Rheumatology – Basic Science

Session Type: Abstract Session

Session Time: 3:00PM-4:30PM

Background/Purpose: Juvenile dermatomyositis (JDM) patients frequently have incomplete response to therapy. We utilized exploratory proteomics to advance understanding of dysregulated proteins and biological pathways that might contribute to disease onset, persistent disease activity and treatment response in a multi-center cohort.

Methods: We utilized a multiplexed Olink proteomics assay to measure 3072 plasma proteins in a multicenter JDM cohort, which included 56 treatment-naïve (TN) JDM enrolled at or near diagnosis (CARRA=28, U-M=7, UCSF=12, Duke=9), 24 JDM with paired six-month follow up (FU) samples (CARRA=20 and Duke=4) and 8 healthy controls (CTL). Median physician global assessment (PGA) score for TN was 6 (IQR 5-7) and for FU was 2 (IQR 1-3). We identified differentially expressed proteins (DEP) between groups, TN v CTL and FU v CTL, by fitting linear mixed effects (lmer) models using the OlinkAnalyze package (v3.5.1) in R and including “site” as a random effect.  A post-hoc analysis was used to quantify the difference in protein expression between JDM and CTL.  A paired t-test was used to identify DEP in paired samples (n=24) between TN and FU.  Proteins associated with PGA score were identified using a lmer and individual as a random effect in CARRA samples only (n=48).  Pathway analyses were performed using Ingenuity Pathway Analysis (IPA) and Genomatix Pathway System (GePS). 

Results: There were 1176 DEP between TN JDM and CTL (Fig 1A) and 232 DEP between FU JDM and CTL (Fig 1B).  We identified novel proteins differentially expressed in TN JDM enriched in regulation of cell death (BCL2, BAX, ZBP1), detoxification of ROS and response to stress (TXN, PRDX5, SOD1), muscle structure (TNNI3, MYL3, MYOM1), as well as traditional interferon-stimulated proteins (CXL10, galectin-9, SIGLEC-1) and innate immune proteins (TLR2, IL6).  At FU, 196/232 of BL DEPs were still differentially expressed and included cell death regulatory, innate, and redox proteins, highlighting persistent dysregulation, with notable increases in IL1β and BCL2 (Fig 2A). A paired analysis of 24 patients with paired TN and FU samples supported these findings within individuals (Fig 2B).  In 48 CARRA samples, 902 proteins (799 positively, 103 negatively) were significantly associated with global disease activity.  Many top proteins were related to IFN signaling (GBP1, IFNL1, IFIT3) and muscle inflammation (MYL3, MYOM2, MYBPC1) and reflected more traditional pathways of B and T cell activation and immunoregulation (Fig 3A & B).  TLR2 and RAD51 were proteins that were both persistently dysregulated at 6 month follow up as well as associated with disease activity.

Conclusion: Together, these results highlight immune pathways that are associated with JDM and decline with treatment, as well as under-recognized proteomic signatures that reflect dysregulation of cell death, detoxification of ROS, and innate immunity both at diagnosis and 6-month FU. These persistently dysregulated proteins represent potential pathways not targeted by standard induction therapy and may be more sensitive biomarkers of disease activity.

Acknowledgements: CARRA, AF, Cure JM, IRP of NIH, NIAMS

Supporting image 1

A. Volcano plot of 1176 significantly differentially expressed proteins between TN JDM and CTL identified using a linear mixed effects model and site as a random effect with blue indicating significance (padj<0.05, FDR-BH correction). B. Volcano plot of 232 proteins differentially expressed between 6mo follow up JDM and CTL identified using a linear mixed effects model and site as a random effect with blue indicating significance (padj<0.05, FDR-BH correction). Abbreviations: TN = treatment-naïve, FU = 6 month follow up JDM, CTL = healthy control, DEPs = differentially expressed proteins, NPX = normalized protein expression.

Supporting image 2

A. Log-fold change of select top proteins differentially regulated in TN JDM compared to CTL (1st column) and 6 month JDM compared to CTL (2nd column) in key areas of enriched biological processes. Asterix indicate those meeting statistical significance in the 6 month FU v CTL comparison (padj<0.05, FDR BH-correction). B. Heatmap of relative expression levels (NPX values) of the same proteins in A at the individual level in paired samples. Abbreviations: TN = treatment-naïve, FU = 6 month follow up JDM, CTL = healthy control, NPX = normalized protein expression.

Supporting image 3

A Heatmap of NPX expression values for the top 50 proteins most highly associated with global PGA scores in a linear mixed effects model including individual as a random effect (padj<0.05, FDR BH-corrected). B. Visualization of the correlation between representative proteins from disease activity-associated proteins reflecting B- and T-cell activation and immunoregulation. Abbreviations: TN = treatment-naïve, FU = 6 month follow up JDM, NPX = normalized protein expression.


Disclosures: J. Neely: None; J. Dvergsten: None; Z. Zheng: None; C. Madubata: None; H. Kim: Cabaletta Bio, 1, 12, Co-Investigator, Eli Lilly, 12, Baricitinib Study CRADA; S. Sabbagh: None; S. Matossian: None; C. Goudsmit: None; C. Berthier: None; J. Turnier: Cabaletta Bio, 1.

To cite this abstract in AMA style:

Neely J, Dvergsten J, Zheng Z, Madubata C, Kim H, Sabbagh S, Matossian S, Goudsmit C, Berthier C, Turnier J. JDM Proteomic Signature at Disease Onset and Progression Highlights Persistent Dysregulation of Cell Death, Redox and Innate Immune Signaling [abstract]. Arthritis Rheumatol. 2024; 76 (suppl 9). https://acrabstracts.org/abstract/jdm-proteomic-signature-at-disease-onset-and-progression-highlights-persistent-dysregulation-of-cell-death-redox-and-innate-immune-signaling/. Accessed .
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