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An explorative study on deep profiling of peripheral leukocytes to identify predictors for responsiveness to anti-tumour necrosis factor alpha therapies in ankylosing spondylitis: natural killer cells in focus

BACKGROUND: Therapeutic targeting of tumour necrosis factor (TNF)-α is highly effective in ankylosing spondylitis (AS) patients. However, since one-third of anti-TNF-treated AS patients do not show an adequate clinical response there is an urgent need for new biomarkers that would aid clinicians in...

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Autores principales: Schulte-Wrede, Ursula, Sörensen, Till, Grün, Joachim R., Häupl, Thomas, Hirseland, Heike, Steinbrich-Zöllner, Marta, Wu, Peihua, Radbruch, Andreas, Poddubnyy, Denis, Sieper, Joachim, Syrbe, Uta, Grützkau, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6116509/
https://www.ncbi.nlm.nih.gov/pubmed/30157966
http://dx.doi.org/10.1186/s13075-018-1692-y
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author Schulte-Wrede, Ursula
Sörensen, Till
Grün, Joachim R.
Häupl, Thomas
Hirseland, Heike
Steinbrich-Zöllner, Marta
Wu, Peihua
Radbruch, Andreas
Poddubnyy, Denis
Sieper, Joachim
Syrbe, Uta
Grützkau, Andreas
author_facet Schulte-Wrede, Ursula
Sörensen, Till
Grün, Joachim R.
Häupl, Thomas
Hirseland, Heike
Steinbrich-Zöllner, Marta
Wu, Peihua
Radbruch, Andreas
Poddubnyy, Denis
Sieper, Joachim
Syrbe, Uta
Grützkau, Andreas
author_sort Schulte-Wrede, Ursula
collection PubMed
description BACKGROUND: Therapeutic targeting of tumour necrosis factor (TNF)-α is highly effective in ankylosing spondylitis (AS) patients. However, since one-third of anti-TNF-treated AS patients do not show an adequate clinical response there is an urgent need for new biomarkers that would aid clinicians in their decision-making to select appropriate therapeutic options. Thus, the aim of this explorative study was to identify cell-based biomarkers in peripheral blood that could be used for a pre-treatment stratification of AS patients. METHODS: A high-dimensional, multi-parametric flow cytometric approach was applied to identify baseline predictors in 31 AS patients before treatment with the TNF blockers adalimumab (TNF-neutralisation) and etanercept (soluble TNF receptor). RESULTS: As the major result, the frequencies of natural killer (NK) cells, and in particular CD8-positive (CD8(+)) NK cell subsets, were most predictive for therapeutic outcome in AS patients. While an inverse correlation between classical CD56(+)/CD16(+) NK cells and reduction of disease activity was observed, the CD8(+) NK cell subset behaved in the opposite direction. At baseline, responders showed significantly increased frequencies of CD8(+) NK cells compared with non-responders. CONCLUSIONS: This is the first study demonstrating that the composition of the NK cell compartment has predictive power for prediction of therapeutic outcome for anti-TNF-α blockers, and we identified CD8(+) NK cells as a potential new player in the TNF-α-driven chronic inflammatory immune response of AS. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13075-018-1692-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-61165092018-10-02 An explorative study on deep profiling of peripheral leukocytes to identify predictors for responsiveness to anti-tumour necrosis factor alpha therapies in ankylosing spondylitis: natural killer cells in focus Schulte-Wrede, Ursula Sörensen, Till Grün, Joachim R. Häupl, Thomas Hirseland, Heike Steinbrich-Zöllner, Marta Wu, Peihua Radbruch, Andreas Poddubnyy, Denis Sieper, Joachim Syrbe, Uta Grützkau, Andreas Arthritis Res Ther Research Article BACKGROUND: Therapeutic targeting of tumour necrosis factor (TNF)-α is highly effective in ankylosing spondylitis (AS) patients. However, since one-third of anti-TNF-treated AS patients do not show an adequate clinical response there is an urgent need for new biomarkers that would aid clinicians in their decision-making to select appropriate therapeutic options. Thus, the aim of this explorative study was to identify cell-based biomarkers in peripheral blood that could be used for a pre-treatment stratification of AS patients. METHODS: A high-dimensional, multi-parametric flow cytometric approach was applied to identify baseline predictors in 31 AS patients before treatment with the TNF blockers adalimumab (TNF-neutralisation) and etanercept (soluble TNF receptor). RESULTS: As the major result, the frequencies of natural killer (NK) cells, and in particular CD8-positive (CD8(+)) NK cell subsets, were most predictive for therapeutic outcome in AS patients. While an inverse correlation between classical CD56(+)/CD16(+) NK cells and reduction of disease activity was observed, the CD8(+) NK cell subset behaved in the opposite direction. At baseline, responders showed significantly increased frequencies of CD8(+) NK cells compared with non-responders. CONCLUSIONS: This is the first study demonstrating that the composition of the NK cell compartment has predictive power for prediction of therapeutic outcome for anti-TNF-α blockers, and we identified CD8(+) NK cells as a potential new player in the TNF-α-driven chronic inflammatory immune response of AS. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13075-018-1692-y) contains supplementary material, which is available to authorized users. BioMed Central 2018-08-29 2018 /pmc/articles/PMC6116509/ /pubmed/30157966 http://dx.doi.org/10.1186/s13075-018-1692-y Text en © The Author(s). 2018 Open AccessThis 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
Schulte-Wrede, Ursula
Sörensen, Till
Grün, Joachim R.
Häupl, Thomas
Hirseland, Heike
Steinbrich-Zöllner, Marta
Wu, Peihua
Radbruch, Andreas
Poddubnyy, Denis
Sieper, Joachim
Syrbe, Uta
Grützkau, Andreas
An explorative study on deep profiling of peripheral leukocytes to identify predictors for responsiveness to anti-tumour necrosis factor alpha therapies in ankylosing spondylitis: natural killer cells in focus
title An explorative study on deep profiling of peripheral leukocytes to identify predictors for responsiveness to anti-tumour necrosis factor alpha therapies in ankylosing spondylitis: natural killer cells in focus
title_full An explorative study on deep profiling of peripheral leukocytes to identify predictors for responsiveness to anti-tumour necrosis factor alpha therapies in ankylosing spondylitis: natural killer cells in focus
title_fullStr An explorative study on deep profiling of peripheral leukocytes to identify predictors for responsiveness to anti-tumour necrosis factor alpha therapies in ankylosing spondylitis: natural killer cells in focus
title_full_unstemmed An explorative study on deep profiling of peripheral leukocytes to identify predictors for responsiveness to anti-tumour necrosis factor alpha therapies in ankylosing spondylitis: natural killer cells in focus
title_short An explorative study on deep profiling of peripheral leukocytes to identify predictors for responsiveness to anti-tumour necrosis factor alpha therapies in ankylosing spondylitis: natural killer cells in focus
title_sort explorative study on deep profiling of peripheral leukocytes to identify predictors for responsiveness to anti-tumour necrosis factor alpha therapies in ankylosing spondylitis: natural killer cells in focus
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6116509/
https://www.ncbi.nlm.nih.gov/pubmed/30157966
http://dx.doi.org/10.1186/s13075-018-1692-y
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