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Abstract Number: 0646

Racial Variability in Immune Responses Only Partially Explains Differential Systemic Sclerosis Disease Severity

Kamini Kuchinad1, Ji Soo Kim1, Adrianne Woods1, Gwen Leatherman1, Laura Gutierrez2, Maureen Mayes3, Robyn Domsic4, Paula Ramos5, Richard Silver5, John Varga6, Lesley Ann Saketkoo7, Suzanne Kafaja8, Victoria Shanmugam9, Jessica Gordon10, Lorinda Chung11, Elana Bernstein12, Pravitt Gourh13, Francesco Boin14, Daniel Kastner15, Scott Zeger16, Livia Casciola-Rosen1, Fred Wigley1 and Ami Shah17, 1Department of Rheumatology, Johns Hopkins Medicine, Baltimore, MD, 2Johns Hopkins Medicine, Baltimore, MD, 3Division of Rheumatology, University of Texas McGovern Medical School, Houston, TX, 4University of Pittsburgh, Pittsburgh, PA, 5Medical University of South Carolina, Charleston, SC, 6University of Michigan, Ann Arbor, MI, 7University Medical Center - Comprehensive Pulmonary Hypertension Center and ILD Clinic Programs // New Orleans Scleroderma and Sarcoidosis Patient Care & Research Centeris, New Orleans, LA, 8UCLA Department of Medicine, Division of Rheumatology, Los Angeles, CA, 9Victoria Shanmugam, MD, Great Falls, VA, 10Hospital for Special Surgery, New York, NY, 11Department of Medicine, Division of Immunology and Rheumatology, Stanford University School of Medicine, Woodside, CA, 12Columbia University, New York, NY, 13National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, 14Cedars-Sinai Medical Center, Los Angeles, CA, 15National Human Genome Research Institute, Bethesda, MD, 16Johns Hopkins University, Baltimore, MD, 17Department of Medicine, Division of Rheumatology, Johns Hopkins University School of Medicine, Ellicott City, MD

Meeting: ACR Convergence 2023

Keywords: Autoantibody(ies), Cohort Study, Disparities, Scleroderma, Systemic

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Session Information

Date: Sunday, November 12, 2023

Title: (0609–0672) Systemic Sclerosis & Related Disorders – Clinical Poster I: Research

Session Type: Poster Session A

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

Background/Purpose: Individuals with self-identified Black race have a higher incidence of systemic sclerosis (SSc), develop SSc at a younger age, and have a more severe clinical phenotype than their White counterparts. To understand the roles autoantibodies may play in driving racial variation in disease severity, we compared autoantibody distribution and associated phenotypes between cohorts of Black and White individuals from the US multicenter Genome Research in African American Scleroderma Patients (GRASP) cohort and the Johns Hopkins Scleroderma Center cohort, respectively.

Methods: 803 Black and 2178 White patients with SSc had systematic autoantibody testing for anti-centromere (ACA), anti-RNA-polymerase III (POLR3), anti-Scl70, anti-PMSCL, anti-NOR90, anti-ThTo, anti-Ku, anti-U3RNP, and anti-Ro52 using the Euroimmun platform and anti-U1RNP using a commercial ELISA assay. 93.7% and 94.2% of individuals in the Black and White cohorts met 2013 ACR/EULAR criteria for SSc. Autoantibody frequency was compared between the two groups. To assess the effect of autoantibodies on the association between race and clinical outcomes, odds ratio coefficients for race from multivariable models including and excluding autoantibodies were compared. Multivariable logistic regression analyses were performed to assess the association between each autoantibody and clinical outcomes. Clinical outcomes included common manifestations of SSc, and organ-specific disease severity.

Results: Comparing these self-reported racial groups, the Black cohort had a higher mean modified Rodnan skin score and higher rates of pulmonary fibrosis; Black individuals had higher rates of severe Raynaud’s phenomenon, skin, gastrointestinal and lung disease. Statistically significant differences were seen in autoantibody distribution between the Black and White cohorts (Figure 1). Among the Black cohort, anti-Scl70 (28%), anti-U1RNP (27%), and anti-U3RNP (19%) were most common while the White cohort was enriched for ACA (33%) and anti-POLR3 (19%). In multivariable models, anti-Scl70 was associated with diffuse skin disease, severe cutaneous disease, pulmonary fibrosis and severe lung disease (Table 1). Anti-U3RNP was associated with diffuse skin disease, telangiectasias, calcinosis, and severe Raynaud’s phenomenon. Anti-POLR3 was associated with severe skin and renal disease. Adjusting for autoantibodies decreased the effect of race on clinical outcome by 17%, 10% and 10% for FVC< 70%, severe lung and heart disease respectively; it increased the effect of race by 18% for severe skin and 44% for severe kidney disease (Table 2).

Conclusion: This study is the largest systematic analysis of autoantibody responses and associated clinical phenotypes in a geographically diverse population of Black individuals with SSc. Black and White individuals with SSc had distinct autoantibody distributions. Antibodies common in the Black cohort (anti-Scl70, anti-U1RNP, anti-U3RNP, anti-ThTo) commonly associate with severe skin disease and interstitial lung disease. However, differences in autoantibody distributions explain only a small fraction of the racial effects on clinical outcomes for FVC< 70%, severe lung and heart disease.

Supporting image 1

Figure 1: Distribution of autoantibodies among individuals in Black and White cohorts who underwent autoantibody testing. Numbers do not add up to 100% due to autoantibody overlap. ACA=anti-centromere antibody, POLR3=anti-RNA polymerase III, anti-Scl70=anti-topoisomerase, Ab negative refers to a group that underwent Euroimmun testing and testing for U1RNP but was not positive for any detectable antibodies. Comparison of autoantibody frequency using Chi-squared testing and Fisher’s exact testing was done as appropriate.
* p<0.05, ** p<0.005, *** p<0.0005.

Supporting image 2

Table 1a and 1b: Multivariable regressions assessing association between autoantibodies and clinical outcomes were conducted. These models controlled for the covariates of sex, age of symptom onset, disease duration, race and diffuse skin disease (for non-cutaneous outcomes). Pulmonary, cardiac and vascular analyses also controlled for history of smoking. Autoantibodies included ACA, POLR3, PMSCL, Ku, ThTo, Nor90, U1RNP, U3RNP, Ro52. Statistically significant associations were seen for ACA, POLR3, U3RNP, Scl-70 and PMSCL, the data for which is included in this table. Conversely, no statistically significant associations were seen for Ku, ThTo, Nor90, U1RNP, and Ro52. Analyses in Table 1a assess the associations between autoantibodies and common clinical outcomes in SSc. Analyses in Table 1b evaluate the association between autoantibodies and organ specific disease severity as defined by a Medsger severity score of 3 or 4.
* p<0.05, ** p<0.005, *** p<0.0005
† Covariate of smoking status (ever versus never smoked cigarettes was included in the multivariate analysis)

Supporting image 3

Table 2: Ratio of odds: Multivariable regressions were done. Model A refers to a multivariable regression assessing association between race and clinical outcomes controlling for the covariates of sex, age of symptom onset, disease duration, and diffuse skin disease. Pulmonary, cardiac and vascular outcomes controlled for history of smoking. Model B refers to multivariable regression assessing association between race and clinical outcomes, controlling for the previous covariates, as well as the tested antibodies (ACA, POLR3, PMSCL, Ku, ThTo, Nor90, U1RNP, U3RNP Ro52). Ratio of odds refers to the ratio between the coefficient for race in Model B and the coefficient for race in Model A. Upper and lower bounds of the ratio of odds are calculated based on 5000 random samples of the data.
* statistical significance


Disclosures: K. Kuchinad: None; J. Kim: None; A. Woods: None; G. Leatherman: None; L. Gutierrez: None; M. Mayes: Boehringer Ingelheim, 1, 5, British Medical Journal, 9, Corbus, 5, EICOS, 1, 5, Horizon Pharma, 5, Medtelligence, 6, Mitsubishi Tanabe, 1, 5, Oxford University Press, 9, Prometheus, 5, Springer International Publishing, 9; R. Domsic: Aisa Pharma, Inc., 2, CSL Behring, 1; P. Ramos: None; R. Silver: None; J. Varga: None; L. Saketkoo: None; S. Kafaja: Acceleron, 5, Bayer, 5, Biogen, 2, 5, Boehringer-Ingelheim, 2, Corbus Pharmaceuticals, 2, CSL Behring, 5, Cumberland Pharmaceuticals, 5, Eicos Sciences, 2, 5, Galapagos, 5, Genentech, 2, 5, GlaxoSmithKlein(GSK), 5, Horizon Pharmaceuticals, 5, Mitsubishi Tanabe, 5, Novartis, 5; V. Shanmugam: None; J. Gordon: Cumberland Pharmaceuticals, 5, Prometheus Pharmaceuticals, 5; L. Chung: Eicos Science, 1, 2, Eli Lilly, 1, 2, Genentech, 1, 2, IgM biosciences, 1, 2, Janssen, 1, 2, Kyverna, 1, 2, Mitsubishi Tanabe, 1, 2; E. Bernstein: None; P. Gourh: None; F. Boin: None; D. Kastner: None; S. Zeger: None; L. Casciola-Rosen: None; F. Wigley: None; A. Shah: Arena Pharmaceuticals, 5, Eicos Sciences, 5, Kadmon Corporation, 5, Medpace LLC, 5.

To cite this abstract in AMA style:

Kuchinad K, Kim J, Woods A, Leatherman G, Gutierrez L, Mayes M, Domsic R, Ramos P, Silver R, Varga J, Saketkoo L, Kafaja S, Shanmugam V, Gordon J, Chung L, Bernstein E, Gourh P, Boin F, Kastner D, Zeger S, Casciola-Rosen L, Wigley F, Shah A. Racial Variability in Immune Responses Only Partially Explains Differential Systemic Sclerosis Disease Severity [abstract]. Arthritis Rheumatol. 2023; 75 (suppl 9). https://acrabstracts.org/abstract/racial-variability-in-immune-responses-only-partially-explains-differential-systemic-sclerosis-disease-severity/. Accessed .
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