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Two subgroups in systemic lupus erythematosus with features of antiphospholipid or Sjögren’s syndrome differ in molecular signatures and treatment perspectives

BACKGROUND: Previous studies and own clinical observations of patients with systemic lupus erythematosus (SLE) suggest that SLE harbors distinct immunophenotypes. This heterogeneity might result in differences in response to treatment in different subgroups and obstruct clinical trials. Our aim was...

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Autores principales: Idborg, Helena, Zandian, Arash, Sandberg, Ann-Sofi, Nilsson, Bo, Elvin, Kerstin, Truedsson, Lennart, Sohrabian, Azita, Rönnelid, Johan, Mo, John, Grosso, Giorgia, Kvarnström, Marika, Gunnarsson, Iva, Lehtiö, Janne, Nilsson, Peter, Svenungsson, Elisabet, Jakobsson, Per-Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378708/
https://www.ncbi.nlm.nih.gov/pubmed/30777133
http://dx.doi.org/10.1186/s13075-019-1836-8
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author Idborg, Helena
Zandian, Arash
Sandberg, Ann-Sofi
Nilsson, Bo
Elvin, Kerstin
Truedsson, Lennart
Sohrabian, Azita
Rönnelid, Johan
Mo, John
Grosso, Giorgia
Kvarnström, Marika
Gunnarsson, Iva
Lehtiö, Janne
Nilsson, Peter
Svenungsson, Elisabet
Jakobsson, Per-Johan
author_facet Idborg, Helena
Zandian, Arash
Sandberg, Ann-Sofi
Nilsson, Bo
Elvin, Kerstin
Truedsson, Lennart
Sohrabian, Azita
Rönnelid, Johan
Mo, John
Grosso, Giorgia
Kvarnström, Marika
Gunnarsson, Iva
Lehtiö, Janne
Nilsson, Peter
Svenungsson, Elisabet
Jakobsson, Per-Johan
author_sort Idborg, Helena
collection PubMed
description BACKGROUND: Previous studies and own clinical observations of patients with systemic lupus erythematosus (SLE) suggest that SLE harbors distinct immunophenotypes. This heterogeneity might result in differences in response to treatment in different subgroups and obstruct clinical trials. Our aim was to understand how SLE subgroups may differ regarding underlying pathophysiology and characteristic biomarkers. METHODS: In a cross-sectional study, including 378 well-characterized SLE patients and 316 individually matched population controls, we defined subgroups based on the patients’ autoantibody profile at inclusion. We selected a core of an antiphospholipid syndrome-like SLE (aPL+ group; positive in the lupus anticoagulant (LA) test and negative for all three of SSA (Ro52 and Ro60) and SSB antibodies) and a Sjögren’s syndrome-like SLE (SSA/SSB+ group; positive for all three of SSA (Ro52 and Ro60) and SSB antibodies but negative in the LA test). We applied affinity-based proteomics, targeting 281 proteins, together with well-established clinical biomarkers and complementary immunoassays to explore the difference between the two predefined SLE subgroups. RESULTS: The aPL+ group comprised 66 and the SSA/SSB+ group 63 patients. The protein with the highest prediction power (receiver operating characteristic (ROC) area under the curve = 0.89) for separating the aPL+ and SSA/SSB+ SLE subgroups was integrin beta-1 (ITGB1), with higher levels present in the SSA/SSB+ subgroup. Proteins with the lowest p values comparing the two SLE subgroups were ITGB1, SLC13A3, and CERS5. These three proteins, rheumatoid factor, and immunoglobulin G (IgG) were all increased in the SSA/SSB+ subgroup. This subgroup was also characterized by a possible activation of the interferon system as measured by high KRT7, TYK2, and ETV7 in plasma. In the aPL+ subgroup, complement activation was more pronounced together with several biomarkers associated with systemic inflammation (fibrinogen, α-1 antitrypsin, neutrophils, and triglycerides). CONCLUSIONS: Our observations indicate underlying pathogenic differences between the SSA/SSB+ and the aPL+ SLE subgroups, suggesting that the SSA/SSB+ subgroup may benefit from IFN-blocking therapies while the aPL+ subgroup is more likely to have an effect from drugs targeting the complement system. Stratifying SLE patients based on an autoantibody profile could be a way forward to understand underlying pathophysiology and to improve selection of patients for clinical trials of targeted treatments. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13075-019-1836-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-63787082019-02-28 Two subgroups in systemic lupus erythematosus with features of antiphospholipid or Sjögren’s syndrome differ in molecular signatures and treatment perspectives Idborg, Helena Zandian, Arash Sandberg, Ann-Sofi Nilsson, Bo Elvin, Kerstin Truedsson, Lennart Sohrabian, Azita Rönnelid, Johan Mo, John Grosso, Giorgia Kvarnström, Marika Gunnarsson, Iva Lehtiö, Janne Nilsson, Peter Svenungsson, Elisabet Jakobsson, Per-Johan Arthritis Res Ther Research Article BACKGROUND: Previous studies and own clinical observations of patients with systemic lupus erythematosus (SLE) suggest that SLE harbors distinct immunophenotypes. This heterogeneity might result in differences in response to treatment in different subgroups and obstruct clinical trials. Our aim was to understand how SLE subgroups may differ regarding underlying pathophysiology and characteristic biomarkers. METHODS: In a cross-sectional study, including 378 well-characterized SLE patients and 316 individually matched population controls, we defined subgroups based on the patients’ autoantibody profile at inclusion. We selected a core of an antiphospholipid syndrome-like SLE (aPL+ group; positive in the lupus anticoagulant (LA) test and negative for all three of SSA (Ro52 and Ro60) and SSB antibodies) and a Sjögren’s syndrome-like SLE (SSA/SSB+ group; positive for all three of SSA (Ro52 and Ro60) and SSB antibodies but negative in the LA test). We applied affinity-based proteomics, targeting 281 proteins, together with well-established clinical biomarkers and complementary immunoassays to explore the difference between the two predefined SLE subgroups. RESULTS: The aPL+ group comprised 66 and the SSA/SSB+ group 63 patients. The protein with the highest prediction power (receiver operating characteristic (ROC) area under the curve = 0.89) for separating the aPL+ and SSA/SSB+ SLE subgroups was integrin beta-1 (ITGB1), with higher levels present in the SSA/SSB+ subgroup. Proteins with the lowest p values comparing the two SLE subgroups were ITGB1, SLC13A3, and CERS5. These three proteins, rheumatoid factor, and immunoglobulin G (IgG) were all increased in the SSA/SSB+ subgroup. This subgroup was also characterized by a possible activation of the interferon system as measured by high KRT7, TYK2, and ETV7 in plasma. In the aPL+ subgroup, complement activation was more pronounced together with several biomarkers associated with systemic inflammation (fibrinogen, α-1 antitrypsin, neutrophils, and triglycerides). CONCLUSIONS: Our observations indicate underlying pathogenic differences between the SSA/SSB+ and the aPL+ SLE subgroups, suggesting that the SSA/SSB+ subgroup may benefit from IFN-blocking therapies while the aPL+ subgroup is more likely to have an effect from drugs targeting the complement system. Stratifying SLE patients based on an autoantibody profile could be a way forward to understand underlying pathophysiology and to improve selection of patients for clinical trials of targeted treatments. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13075-019-1836-8) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-18 2019 /pmc/articles/PMC6378708/ /pubmed/30777133 http://dx.doi.org/10.1186/s13075-019-1836-8 Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research Article
Idborg, Helena
Zandian, Arash
Sandberg, Ann-Sofi
Nilsson, Bo
Elvin, Kerstin
Truedsson, Lennart
Sohrabian, Azita
Rönnelid, Johan
Mo, John
Grosso, Giorgia
Kvarnström, Marika
Gunnarsson, Iva
Lehtiö, Janne
Nilsson, Peter
Svenungsson, Elisabet
Jakobsson, Per-Johan
Two subgroups in systemic lupus erythematosus with features of antiphospholipid or Sjögren’s syndrome differ in molecular signatures and treatment perspectives
title Two subgroups in systemic lupus erythematosus with features of antiphospholipid or Sjögren’s syndrome differ in molecular signatures and treatment perspectives
title_full Two subgroups in systemic lupus erythematosus with features of antiphospholipid or Sjögren’s syndrome differ in molecular signatures and treatment perspectives
title_fullStr Two subgroups in systemic lupus erythematosus with features of antiphospholipid or Sjögren’s syndrome differ in molecular signatures and treatment perspectives
title_full_unstemmed Two subgroups in systemic lupus erythematosus with features of antiphospholipid or Sjögren’s syndrome differ in molecular signatures and treatment perspectives
title_short Two subgroups in systemic lupus erythematosus with features of antiphospholipid or Sjögren’s syndrome differ in molecular signatures and treatment perspectives
title_sort two subgroups in systemic lupus erythematosus with features of antiphospholipid or sjögren’s syndrome differ in molecular signatures and treatment perspectives
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378708/
https://www.ncbi.nlm.nih.gov/pubmed/30777133
http://dx.doi.org/10.1186/s13075-019-1836-8
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