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Comprehensive analysis of immunoglobulin and clinical variables identifies functional linkages and diagnostic indicators associated with Behcet’s disease patients receiving immunomodulatory treatment

BACKGROUND: Behcet’s disease (BD) is a relapsing systemic vascular autoimmune/inflammatory disease. Despite much effort to investigate BD, there are virtually no unique laboratory markers identified to help in the diagnosis of BD, and the pathogenesis is largely unknown. The aim of this work is to e...

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Autores principales: Cheng, Linlin, Li, Yang, Wu, Ziyan, Li, Liubing, Liu, Chenxi, Liu, Jianhua, Dai, Jiayu, Zheng, Wenjie, Zhang, Fengchun, Tang, Liujun, Yu, Xiaobo, Li, Yongzhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7901184/
https://www.ncbi.nlm.nih.gov/pubmed/33618671
http://dx.doi.org/10.1186/s12865-021-00403-1
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author Cheng, Linlin
Li, Yang
Wu, Ziyan
Li, Liubing
Liu, Chenxi
Liu, Jianhua
Dai, Jiayu
Zheng, Wenjie
Zhang, Fengchun
Tang, Liujun
Yu, Xiaobo
Li, Yongzhe
author_facet Cheng, Linlin
Li, Yang
Wu, Ziyan
Li, Liubing
Liu, Chenxi
Liu, Jianhua
Dai, Jiayu
Zheng, Wenjie
Zhang, Fengchun
Tang, Liujun
Yu, Xiaobo
Li, Yongzhe
author_sort Cheng, Linlin
collection PubMed
description BACKGROUND: Behcet’s disease (BD) is a relapsing systemic vascular autoimmune/inflammatory disease. Despite much effort to investigate BD, there are virtually no unique laboratory markers identified to help in the diagnosis of BD, and the pathogenesis is largely unknown. The aim of this work is to explore interactions between different clinical variables by correlation analysis to determine associations between the functional linkages of different paired variables and potential diagnostic biomarkers of BD. METHODS: We measured the immunoglobulin proteome (IgG, IgG1–4, IgA, IgA1–2) and 29 clinical variables in 66 healthy controls and 63 patients with BD. We performed a comprehensive clinical variable linkage analysis and defined the physiological, pathological and pharmacological linkages based on the correlations of all variables in healthy controls and BD patients without and with immunomodulatory therapy. We further calculated relative changes between variables derived from comprehensive linkage analysis for better indications in the clinic. The potential indicators were validated in a validation set with 76 patients with BD, 30 healthy controls, 18 patients with Takayasu arteritis and 18 patients with ANCA-associated vasculitis. RESULTS: In this study, the variables identified were found to act in synergy rather than alone in BD patients under physiological, pathological and pharmacological conditions. Immunity and inflammation can be suppressed by corticosteroids and immunosuppressants, and integrative analysis of granulocytes, platelets and related variables is likely to provide a more comprehensive understanding of disease activity, thrombotic potential and ultimately potential tissue damage. We determined that total protein/mean corpuscular hemoglobin and total protein/mean corpuscular hemoglobin levels, total protein/mean corpuscular volume, and plateletcrit/monocyte counts were significantly increased in BD compared with controls (P < 0.05, in both the discovery and validation sets), which helped in distinguishing BD patients from healthy and vasculitis controls. Chronic anemia in BD combined with increased total protein contributed to higher levels of these biomarkers, and the interactions between platelets and monocytes may be linked to vascular involvement. CONCLUSIONS: All these results demonstrate the utility of our approach in elucidating the pathogenesis and in identifying novel biomarkers for autoimmune diseases in the future. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12865-021-00403-1.
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spelling pubmed-79011842021-03-01 Comprehensive analysis of immunoglobulin and clinical variables identifies functional linkages and diagnostic indicators associated with Behcet’s disease patients receiving immunomodulatory treatment Cheng, Linlin Li, Yang Wu, Ziyan Li, Liubing Liu, Chenxi Liu, Jianhua Dai, Jiayu Zheng, Wenjie Zhang, Fengchun Tang, Liujun Yu, Xiaobo Li, Yongzhe BMC Immunol Research Article BACKGROUND: Behcet’s disease (BD) is a relapsing systemic vascular autoimmune/inflammatory disease. Despite much effort to investigate BD, there are virtually no unique laboratory markers identified to help in the diagnosis of BD, and the pathogenesis is largely unknown. The aim of this work is to explore interactions between different clinical variables by correlation analysis to determine associations between the functional linkages of different paired variables and potential diagnostic biomarkers of BD. METHODS: We measured the immunoglobulin proteome (IgG, IgG1–4, IgA, IgA1–2) and 29 clinical variables in 66 healthy controls and 63 patients with BD. We performed a comprehensive clinical variable linkage analysis and defined the physiological, pathological and pharmacological linkages based on the correlations of all variables in healthy controls and BD patients without and with immunomodulatory therapy. We further calculated relative changes between variables derived from comprehensive linkage analysis for better indications in the clinic. The potential indicators were validated in a validation set with 76 patients with BD, 30 healthy controls, 18 patients with Takayasu arteritis and 18 patients with ANCA-associated vasculitis. RESULTS: In this study, the variables identified were found to act in synergy rather than alone in BD patients under physiological, pathological and pharmacological conditions. Immunity and inflammation can be suppressed by corticosteroids and immunosuppressants, and integrative analysis of granulocytes, platelets and related variables is likely to provide a more comprehensive understanding of disease activity, thrombotic potential and ultimately potential tissue damage. We determined that total protein/mean corpuscular hemoglobin and total protein/mean corpuscular hemoglobin levels, total protein/mean corpuscular volume, and plateletcrit/monocyte counts were significantly increased in BD compared with controls (P < 0.05, in both the discovery and validation sets), which helped in distinguishing BD patients from healthy and vasculitis controls. Chronic anemia in BD combined with increased total protein contributed to higher levels of these biomarkers, and the interactions between platelets and monocytes may be linked to vascular involvement. CONCLUSIONS: All these results demonstrate the utility of our approach in elucidating the pathogenesis and in identifying novel biomarkers for autoimmune diseases in the future. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12865-021-00403-1. BioMed Central 2021-02-22 /pmc/articles/PMC7901184/ /pubmed/33618671 http://dx.doi.org/10.1186/s12865-021-00403-1 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Cheng, Linlin
Li, Yang
Wu, Ziyan
Li, Liubing
Liu, Chenxi
Liu, Jianhua
Dai, Jiayu
Zheng, Wenjie
Zhang, Fengchun
Tang, Liujun
Yu, Xiaobo
Li, Yongzhe
Comprehensive analysis of immunoglobulin and clinical variables identifies functional linkages and diagnostic indicators associated with Behcet’s disease patients receiving immunomodulatory treatment
title Comprehensive analysis of immunoglobulin and clinical variables identifies functional linkages and diagnostic indicators associated with Behcet’s disease patients receiving immunomodulatory treatment
title_full Comprehensive analysis of immunoglobulin and clinical variables identifies functional linkages and diagnostic indicators associated with Behcet’s disease patients receiving immunomodulatory treatment
title_fullStr Comprehensive analysis of immunoglobulin and clinical variables identifies functional linkages and diagnostic indicators associated with Behcet’s disease patients receiving immunomodulatory treatment
title_full_unstemmed Comprehensive analysis of immunoglobulin and clinical variables identifies functional linkages and diagnostic indicators associated with Behcet’s disease patients receiving immunomodulatory treatment
title_short Comprehensive analysis of immunoglobulin and clinical variables identifies functional linkages and diagnostic indicators associated with Behcet’s disease patients receiving immunomodulatory treatment
title_sort comprehensive analysis of immunoglobulin and clinical variables identifies functional linkages and diagnostic indicators associated with behcet’s disease patients receiving immunomodulatory treatment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7901184/
https://www.ncbi.nlm.nih.gov/pubmed/33618671
http://dx.doi.org/10.1186/s12865-021-00403-1
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