Interferon-Gamma-Inducible Protein-10 (IP-10) and Tumor Necrosis Factor-α (TNF-α) as Serological Predictors of Active Disease Status in Localized Scleroderma

We investigated the ability of a panel of immune-related cytokines and chemokines to predict the disease activity state in localized scleroderma (LS) subjects followed longitudinally. A total of 194 sera samples were obtained from 45 LS subjects with diverse types of LS (40% linear, 20% mixed, 16% craniofacial, 13% generalized, and 11% circumscribed) in our cohort. Cytokines/chemokines that were significantly elevated at the baseline active disease visit compared to the inactive disease state at follow-up were Interferon-Gamma-Inducible Protein (IP)-10 (<i>p</i> < 0.021) and Tumor Necrosis Factor (TNF)-α (<i>p</i> < 0.033). Mixed effect logit modeling identified IP-10 (Odds Ratio (OR) [95% confidence interval] = 2.1 [1.4, 3.2], <i>p</i> < 0.001), TNF-α (OR = 1.8 [1.1, 3.0], <i>p</i> = 0.016), and Monocyte Chemoattractant Protein (MCP)-1 (OR = 2.0 [1.1, 3.9], <i>p</i> = 0.034) as significant predictors of active disease status. These findings support earlier correlations between IP-10 and TNF-α with disease activity parameters in a cross-sectional Luminex™ serological study and may enhance clinical decision-making when disease activity is challenging to assess by clinical examination alone.

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Journal
International Journal of Molecular Sciences
Published
2024-09-21
DOI
https://doi.org/10.3390/ijms251810134
Citations
1
Primary Topic
Systemic Sclerosis and Related Diseases
Type
article
Field-Weighted Citation Impact
0.42

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article

Interferon-Gamma-Inducible Protein-10 (IP-10) and Tumor Necrosis Factor-α (TNF-α) as Serological Predictors of Active Disease Status in Localized Scleroderma

Kelsey Magee, Kathryn S. Torok, Jonathan G. Yabes, Katherine L. Kurzinski et al.
1 citations
International Journal of Molecular Sciences
Systemic Sclerosis and Related Diseases
0.42
article

Interferon-Gamma-Inducible Protein-10 (IP-10) and Tumor Necrosis Factor-α (TNF-α) as Serological Predictors of Active Disease Status in Localized Scleroderma

Kelsey Magee, Kathryn S. Torok, Jonathan G. Yabes, Katherine L. Kurzinski, Christina K. Zigler, Brittany Ashe
article en
1 citations

Abstract

We investigated the ability of a panel of immune-related cytokines and chemokines to predict the disease activity state in localized scleroderma (LS) subjects followed longitudinally. A total of 194 sera samples were obtained from 45 LS subjects with diverse types of LS (40% linear, 20% mixed, 16% craniofacial, 13% generalized, and 11% circumscribed) in our cohort. Cytokines/chemokines that were significantly elevated at the baseline active disease visit compared to the inactive disease state at follow-up were Interferon-Gamma-Inducible Protein (IP)-10 (<i>p</i> < 0.021) and Tumor Necrosis Factor (TNF)-α (<i>p</i> < 0.033). Mixed effect logit modeling identified IP-10 (Odds Ratio (OR) [95% confidence interval] = 2.1 [1.4, 3.2], <i>p</i> < 0.001), TNF-α (OR = 1.8 [1.1, 3.0], <i>p</i> = 0.016), and Monocyte Chemoattractant Protein (MCP)-1 (OR = 2.0 [1.1, 3.9], <i>p</i> = 0.034) as significant predictors of active disease status. These findings support earlier correlations between IP-10 and TNF-α with disease activity parameters in a cross-sectional Luminex™ serological study and may enhance clinical decision-making when disease activity is challenging to assess by clinical examination alone.

International Journal of Molecular SciencesVol. 25(18)
University of Pittsburgh (US), Scleroderma Foundation (US)
University of Pittsburgh, Cancer Institute, University of Pittsburgh
Openalex Percentile: Top 35%
Systemic Sclerosis and Related Diseases
0.42
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