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Skin Interstitial Fluid and Plasma Multiplex Cytokine Analysis Reveals IFN-γ Signatures and Granzyme B as Useful Biomarker for Activity, Severity and Prognosis Assessment in Vitiligo

BACKGROUND: The course of vitiligo is unpredictable, with periods of disease flare-ups and prolonged recovery periods. It is essential to establish a biomarker profile as a substitute marker for disease activity to predict disease activity, severity, and prognosis prediction. The use of localized sk...

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Autores principales: Ng, Chau Yee, Chiu, Yen-Chuan, Chan, Yu-Pei, Lin, Yu-Jr, Chung, Pei-Han, Chung, Wen-Hung, Ku, Cheng-Lung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021541/
https://www.ncbi.nlm.nih.gov/pubmed/35464413
http://dx.doi.org/10.3389/fimmu.2022.872458
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author Ng, Chau Yee
Chiu, Yen-Chuan
Chan, Yu-Pei
Lin, Yu-Jr
Chung, Pei-Han
Chung, Wen-Hung
Ku, Cheng-Lung
author_facet Ng, Chau Yee
Chiu, Yen-Chuan
Chan, Yu-Pei
Lin, Yu-Jr
Chung, Pei-Han
Chung, Wen-Hung
Ku, Cheng-Lung
author_sort Ng, Chau Yee
collection PubMed
description BACKGROUND: The course of vitiligo is unpredictable, with periods of disease flare-ups and prolonged recovery periods. It is essential to establish a biomarker profile as a substitute marker for disease activity to predict disease activity, severity, and prognosis prediction. The use of localized skin interstitial fluid as biomarkers has recently gained interest, but extensive studies of the association between skin interstitial fluid, plasma, and the disease course is lacking. This study aims to evaluate the cytokine expression profiles in the skin and plasma and the utility of the biomarker panel in assessing disease activity, severity, and prognosis in patients with vitiligo. METHODS: In this prospective cohort study, 86 patients and 34 healthy controls were recruited from the outpatient department of a tertiary medical center from March 2019 to September 2021. All patients were of Asian ethnicity. Two independent investigators evaluated disease activity and severity with longitudinal follow-ups for treatment response for a-12 month period. Ultrasensitive multiplex cytokine panel and single-molecule counting technology immunoassays were used to study the cytokine expression in skin interstitial fluid and plasma. RESULTS: IFN-γ and its’ signature cytokines, including CXCL9, CXCL10, and GzmB, are most highly expressed in the vitiligo patients’ lesion skin interstitial fluid and plasma compared to healthy control. By way of comparison, no significant changes in IL-1β, IL-13, IL-15, IL-17A, IL-18 were observed. Receiver operating characteristic analysis revealed that IFN-γ is the most sensitive and specific marker in predicting disease activity, followed by CXCL10 and GzmB. CXCL-9 was sensitive and specific in diagnosing vitiligo disease severity. The decrease in IFN-γ expression level is positively correlated with the treatment response. CONCLUSION: IFN-γ, CXCL9, CXCL10, and GzmB are highly expressed in vitiligo patients’ lesion skin and plasma and may serve as biomarkers for the clinical activity, severity, and prognosis prediction in vitiligo patients. Among all, IFN-γ exerts the highest predictive value in disease activity and treatment response, supporting the critical role of IFN-γ in the pathogenesis of vitiligo.
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spelling pubmed-90215412022-04-22 Skin Interstitial Fluid and Plasma Multiplex Cytokine Analysis Reveals IFN-γ Signatures and Granzyme B as Useful Biomarker for Activity, Severity and Prognosis Assessment in Vitiligo Ng, Chau Yee Chiu, Yen-Chuan Chan, Yu-Pei Lin, Yu-Jr Chung, Pei-Han Chung, Wen-Hung Ku, Cheng-Lung Front Immunol Immunology BACKGROUND: The course of vitiligo is unpredictable, with periods of disease flare-ups and prolonged recovery periods. It is essential to establish a biomarker profile as a substitute marker for disease activity to predict disease activity, severity, and prognosis prediction. The use of localized skin interstitial fluid as biomarkers has recently gained interest, but extensive studies of the association between skin interstitial fluid, plasma, and the disease course is lacking. This study aims to evaluate the cytokine expression profiles in the skin and plasma and the utility of the biomarker panel in assessing disease activity, severity, and prognosis in patients with vitiligo. METHODS: In this prospective cohort study, 86 patients and 34 healthy controls were recruited from the outpatient department of a tertiary medical center from March 2019 to September 2021. All patients were of Asian ethnicity. Two independent investigators evaluated disease activity and severity with longitudinal follow-ups for treatment response for a-12 month period. Ultrasensitive multiplex cytokine panel and single-molecule counting technology immunoassays were used to study the cytokine expression in skin interstitial fluid and plasma. RESULTS: IFN-γ and its’ signature cytokines, including CXCL9, CXCL10, and GzmB, are most highly expressed in the vitiligo patients’ lesion skin interstitial fluid and plasma compared to healthy control. By way of comparison, no significant changes in IL-1β, IL-13, IL-15, IL-17A, IL-18 were observed. Receiver operating characteristic analysis revealed that IFN-γ is the most sensitive and specific marker in predicting disease activity, followed by CXCL10 and GzmB. CXCL-9 was sensitive and specific in diagnosing vitiligo disease severity. The decrease in IFN-γ expression level is positively correlated with the treatment response. CONCLUSION: IFN-γ, CXCL9, CXCL10, and GzmB are highly expressed in vitiligo patients’ lesion skin and plasma and may serve as biomarkers for the clinical activity, severity, and prognosis prediction in vitiligo patients. Among all, IFN-γ exerts the highest predictive value in disease activity and treatment response, supporting the critical role of IFN-γ in the pathogenesis of vitiligo. Frontiers Media S.A. 2022-04-07 /pmc/articles/PMC9021541/ /pubmed/35464413 http://dx.doi.org/10.3389/fimmu.2022.872458 Text en Copyright © 2022 Ng, Chiu, Chan, Lin, Chung, Chung and Ku https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Ng, Chau Yee
Chiu, Yen-Chuan
Chan, Yu-Pei
Lin, Yu-Jr
Chung, Pei-Han
Chung, Wen-Hung
Ku, Cheng-Lung
Skin Interstitial Fluid and Plasma Multiplex Cytokine Analysis Reveals IFN-γ Signatures and Granzyme B as Useful Biomarker for Activity, Severity and Prognosis Assessment in Vitiligo
title Skin Interstitial Fluid and Plasma Multiplex Cytokine Analysis Reveals IFN-γ Signatures and Granzyme B as Useful Biomarker for Activity, Severity and Prognosis Assessment in Vitiligo
title_full Skin Interstitial Fluid and Plasma Multiplex Cytokine Analysis Reveals IFN-γ Signatures and Granzyme B as Useful Biomarker for Activity, Severity and Prognosis Assessment in Vitiligo
title_fullStr Skin Interstitial Fluid and Plasma Multiplex Cytokine Analysis Reveals IFN-γ Signatures and Granzyme B as Useful Biomarker for Activity, Severity and Prognosis Assessment in Vitiligo
title_full_unstemmed Skin Interstitial Fluid and Plasma Multiplex Cytokine Analysis Reveals IFN-γ Signatures and Granzyme B as Useful Biomarker for Activity, Severity and Prognosis Assessment in Vitiligo
title_short Skin Interstitial Fluid and Plasma Multiplex Cytokine Analysis Reveals IFN-γ Signatures and Granzyme B as Useful Biomarker for Activity, Severity and Prognosis Assessment in Vitiligo
title_sort skin interstitial fluid and plasma multiplex cytokine analysis reveals ifn-γ signatures and granzyme b as useful biomarker for activity, severity and prognosis assessment in vitiligo
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021541/
https://www.ncbi.nlm.nih.gov/pubmed/35464413
http://dx.doi.org/10.3389/fimmu.2022.872458
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