IFN-γ, IL-17A, IL-4, and IL-13: Potential Biomarkers for Prediction of the Effectiveness of Biologics in Psoriasis Patients

Author:

Hsieh Ching-Liang12,Yu Sheng-Jie3ORCID,Lai Kuo-Lung4,Chao Wei-Ting5,Yen Chung-Yang678

Affiliation:

1. Chinese Medicine Research Center, China Medical University, Taichung City 404, Taiwan

2. Department of Chinese Medicine, China Medical University Hospital, Taichung City 404, Taiwan

3. Department of Medical Research, Taichung Veterans General Hospital, Taichung City 407, Taiwan

4. Division of Allergy, Immunology and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung City 407, Taiwan

5. Department of Life Science, Tunghai University, Taichung City 407, Taiwan

6. Department of Dermatology, Taichung Veterans General Hospital, Taichung City 407, Taiwan

7. School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan

8. Integrated Care Center of Psoriatic Disease, Taichung Veterans General Hospital, Taichung City 407, Taiwan

Abstract

Biologics are widely used to treat moderate-to-severe psoriasis. However, we have unmet needs for predicting individual patient responses to biologics before starting psoriasis treatment. We investigate a reliable platform and biomarkers for predicting individual patient responses to biologics. In a cohort study between 2018 and 2023 from a referral center in Taiwan, twenty psoriasis patients with or without psoriatic arthritis who had ever experienced two or more biologics were enrolled. Peripheral blood mononuclear cells obtained from these patients were treated with Streptococcus pyogenes and different biologics. The PASI reduction rate was strongly correlated with the reduction rate in the IL-13 level (p = 0.001) and the ratios of IFN-γ to IL-13 (p < 0.001), IFN-γ to IL-4 (p = 0.019), and IL-17A to IL-13 (p = 0.001). The PASI reduction difference was strongly correlated with the difference in the IFN-γ level (p = 0.002), the difference in the ratios of IFN-γ to IL-4 (p = 0.041), the difference in the ratios of IFN-γ to IL-13 (p = 0.006), the difference in the ratios of IL-17A to IL-4 (p = 0.011), and the difference in the ratios of IL-17A to IL-13 (p = 0.029). The biomarkers IFN-γ, IL-13, IFN-γ/IL4, IFN-γ/IL13, IL-17A/IL-4, and IL-17A/IL-13 are representative of the effectiveness of psoriasis treatment.

Publisher

MDPI AG

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