Network analysis of associations between serum interferon-α activity, autoantibodies, and clinical features in systemic lupus erythematosus

Corinna E. Weckerle, Beverly S. Franek, Jennifer A. Kelly, Marissa Kumabe, Rachel A. Mikolaitis, Stephanie L. Green, Tammy O. Utset, Meenakshi Jolly, Judith A. James, John B. Harley, Timothy B. Niewold

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Abstract

Objective: Interferon-α (IFNα) is a primary pathogenic factor in systemic lupus erythematosus (SLE), and high IFNα levels may be associated with particular clinical manifestations. The prevalence of individual clinical and serologic features differs significantly by ancestry. This study was undertaken to detect associations between clinical and serologic disease manifestations and serum IFNα activity in a large diverse SLE cohort, using multivariate and network analyses. Methods: We studied 1, 089 SLE patients (387 African American, 186 Hispanic American, and 516 European American patients). The presence or absence of individual American College of Rheumatology (ACR) clinical criteria for SLE, autoantibodies, and serum IFNα activity data were analyzed in univariate and multivariate models. Iterative multivariate logistic regression was performed in each ancestral background group separately to establish the network of associations between variables that were independently significant following Bonferroni correction. Results: In all ancestral backgrounds, high IFNα activity was associated with anti-Ro and anti-doublestranded DNA antibodies (P = 4.6 x 10-18 and P = 2.9 x 10-16, respectively). Younger age, non-European ancestry, and anti-RNP were also independently associated with increased serum IFNα activity (P ≤ 6.7 x 10-4). We found 14 unique associations between variables in network analysis, and only 7 of these associations were shared among >1 ancestral background. Associations between clinical criteria were different for different ancestral backgrounds, while autoantibody- IFNα relationships were similar across backgrounds. IFNα activity and autoantibodies were not associated with ACR clinical features in multivariate models. Conclusion: Our findings indicate that serum IFNα activity is strongly and consistently associated with autoantibodies, and not independently associated with clinical features in SLE. IFNα may be more relevant to humoral tolerance and initial pathogenesis than later clinical disease manifestations.

Original languageEnglish (US)
Pages (from-to)1044-1053
Number of pages10
JournalArthritis and Rheumatism
Volume63
Issue number4
DOIs
StatePublished - Apr 2011
Externally publishedYes

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Systemic Lupus Erythematosus
Autoantibodies
Interferons
Serum
Antinuclear Antibodies
Rheumatology
Hispanic Americans
African Americans
Multivariate Analysis
Logistic Models

ASJC Scopus subject areas

  • Immunology
  • Immunology and Allergy
  • Rheumatology
  • Pharmacology (medical)

Cite this

Weckerle, C. E., Franek, B. S., Kelly, J. A., Kumabe, M., Mikolaitis, R. A., Green, S. L., ... Niewold, T. B. (2011). Network analysis of associations between serum interferon-α activity, autoantibodies, and clinical features in systemic lupus erythematosus. Arthritis and Rheumatism, 63(4), 1044-1053. https://doi.org/10.1002/art.30187

Network analysis of associations between serum interferon-α activity, autoantibodies, and clinical features in systemic lupus erythematosus. / Weckerle, Corinna E.; Franek, Beverly S.; Kelly, Jennifer A.; Kumabe, Marissa; Mikolaitis, Rachel A.; Green, Stephanie L.; Utset, Tammy O.; Jolly, Meenakshi; James, Judith A.; Harley, John B.; Niewold, Timothy B.

In: Arthritis and Rheumatism, Vol. 63, No. 4, 04.2011, p. 1044-1053.

Research output: Contribution to journalArticle

Weckerle, CE, Franek, BS, Kelly, JA, Kumabe, M, Mikolaitis, RA, Green, SL, Utset, TO, Jolly, M, James, JA, Harley, JB & Niewold, TB 2011, 'Network analysis of associations between serum interferon-α activity, autoantibodies, and clinical features in systemic lupus erythematosus', Arthritis and Rheumatism, vol. 63, no. 4, pp. 1044-1053. https://doi.org/10.1002/art.30187
Weckerle, Corinna E. ; Franek, Beverly S. ; Kelly, Jennifer A. ; Kumabe, Marissa ; Mikolaitis, Rachel A. ; Green, Stephanie L. ; Utset, Tammy O. ; Jolly, Meenakshi ; James, Judith A. ; Harley, John B. ; Niewold, Timothy B. / Network analysis of associations between serum interferon-α activity, autoantibodies, and clinical features in systemic lupus erythematosus. In: Arthritis and Rheumatism. 2011 ; Vol. 63, No. 4. pp. 1044-1053.
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abstract = "Objective: Interferon-α (IFNα) is a primary pathogenic factor in systemic lupus erythematosus (SLE), and high IFNα levels may be associated with particular clinical manifestations. The prevalence of individual clinical and serologic features differs significantly by ancestry. This study was undertaken to detect associations between clinical and serologic disease manifestations and serum IFNα activity in a large diverse SLE cohort, using multivariate and network analyses. Methods: We studied 1, 089 SLE patients (387 African American, 186 Hispanic American, and 516 European American patients). The presence or absence of individual American College of Rheumatology (ACR) clinical criteria for SLE, autoantibodies, and serum IFNα activity data were analyzed in univariate and multivariate models. Iterative multivariate logistic regression was performed in each ancestral background group separately to establish the network of associations between variables that were independently significant following Bonferroni correction. Results: In all ancestral backgrounds, high IFNα activity was associated with anti-Ro and anti-doublestranded DNA antibodies (P = 4.6 x 10-18 and P = 2.9 x 10-16, respectively). Younger age, non-European ancestry, and anti-RNP were also independently associated with increased serum IFNα activity (P ≤ 6.7 x 10-4). We found 14 unique associations between variables in network analysis, and only 7 of these associations were shared among >1 ancestral background. Associations between clinical criteria were different for different ancestral backgrounds, while autoantibody- IFNα relationships were similar across backgrounds. IFNα activity and autoantibodies were not associated with ACR clinical features in multivariate models. Conclusion: Our findings indicate that serum IFNα activity is strongly and consistently associated with autoantibodies, and not independently associated with clinical features in SLE. IFNα may be more relevant to humoral tolerance and initial pathogenesis than later clinical disease manifestations.",
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AU - Franek, Beverly S.

AU - Kelly, Jennifer A.

AU - Kumabe, Marissa

AU - Mikolaitis, Rachel A.

AU - Green, Stephanie L.

AU - Utset, Tammy O.

AU - Jolly, Meenakshi

AU - James, Judith A.

AU - Harley, John B.

AU - Niewold, Timothy B.

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N2 - Objective: Interferon-α (IFNα) is a primary pathogenic factor in systemic lupus erythematosus (SLE), and high IFNα levels may be associated with particular clinical manifestations. The prevalence of individual clinical and serologic features differs significantly by ancestry. This study was undertaken to detect associations between clinical and serologic disease manifestations and serum IFNα activity in a large diverse SLE cohort, using multivariate and network analyses. Methods: We studied 1, 089 SLE patients (387 African American, 186 Hispanic American, and 516 European American patients). The presence or absence of individual American College of Rheumatology (ACR) clinical criteria for SLE, autoantibodies, and serum IFNα activity data were analyzed in univariate and multivariate models. Iterative multivariate logistic regression was performed in each ancestral background group separately to establish the network of associations between variables that were independently significant following Bonferroni correction. Results: In all ancestral backgrounds, high IFNα activity was associated with anti-Ro and anti-doublestranded DNA antibodies (P = 4.6 x 10-18 and P = 2.9 x 10-16, respectively). Younger age, non-European ancestry, and anti-RNP were also independently associated with increased serum IFNα activity (P ≤ 6.7 x 10-4). We found 14 unique associations between variables in network analysis, and only 7 of these associations were shared among >1 ancestral background. Associations between clinical criteria were different for different ancestral backgrounds, while autoantibody- IFNα relationships were similar across backgrounds. IFNα activity and autoantibodies were not associated with ACR clinical features in multivariate models. Conclusion: Our findings indicate that serum IFNα activity is strongly and consistently associated with autoantibodies, and not independently associated with clinical features in SLE. IFNα may be more relevant to humoral tolerance and initial pathogenesis than later clinical disease manifestations.

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