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Digital Immune Gene Expression Profiling Discriminates Allergic Rhinitis Responders from Non-Responders to Probiotic Supplementation

Probiotic supplementation for eight weeks with a multi-strain probiotic by individuals with allergic rhinitis (AR) reduced overall symptom severity, the frequency of medication use and improved quality of life. The purported mechanism of action is modulation of the immune system. This analysis exami...

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Autores principales: West, Nicholas P., Watts, Annabelle M., Smith, Peter K., Zhang, Ping, Besseling-van der Vaart, Isolde, Cripps, Allan W., Cox, Amanda J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6896104/
https://www.ncbi.nlm.nih.gov/pubmed/31690037
http://dx.doi.org/10.3390/genes10110889
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author West, Nicholas P.
Watts, Annabelle M.
Smith, Peter K.
Zhang, Ping
Besseling-van der Vaart, Isolde
Cripps, Allan W.
Cox, Amanda J.
author_facet West, Nicholas P.
Watts, Annabelle M.
Smith, Peter K.
Zhang, Ping
Besseling-van der Vaart, Isolde
Cripps, Allan W.
Cox, Amanda J.
author_sort West, Nicholas P.
collection PubMed
description Probiotic supplementation for eight weeks with a multi-strain probiotic by individuals with allergic rhinitis (AR) reduced overall symptom severity, the frequency of medication use and improved quality of life. The purported mechanism of action is modulation of the immune system. This analysis examined changes in systemic and mucosal immune gene expression in a subgroup of individuals, classified as either responders or non-responders based on improvement of AR symptoms in response to the probiotic supplement. Based on established criteria of a beneficial change in the mini-rhinoconjunctivitis quality of life questionnaire (mRQLQ), individuals with AR were classified as either responders or non-responders. Systemic and mucosal immune gene expression was assessed using nCounter PanCancer Immune Profiling (Nanostring Technologies, Seattle, WA, USA) kit on blood samples and a nasal lysate. There were 414 immune genes in the blood and 312 immune genes in the mucosal samples expressed above the limit of detection. Unsupervised hierarchical clustering of immune genes separated responders from non-responders in blood and mucosal samples at baseline and after supplementation, with key T-cell immune genes differentially expressed between the groups. Striking differences in biological processes and pathways were evident in nasal mucosa but not blood in responders compared to non-responders. These findings support the use of network approaches to understand probiotic-induced changes to the immune system.
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spelling pubmed-68961042019-12-23 Digital Immune Gene Expression Profiling Discriminates Allergic Rhinitis Responders from Non-Responders to Probiotic Supplementation West, Nicholas P. Watts, Annabelle M. Smith, Peter K. Zhang, Ping Besseling-van der Vaart, Isolde Cripps, Allan W. Cox, Amanda J. Genes (Basel) Communication Probiotic supplementation for eight weeks with a multi-strain probiotic by individuals with allergic rhinitis (AR) reduced overall symptom severity, the frequency of medication use and improved quality of life. The purported mechanism of action is modulation of the immune system. This analysis examined changes in systemic and mucosal immune gene expression in a subgroup of individuals, classified as either responders or non-responders based on improvement of AR symptoms in response to the probiotic supplement. Based on established criteria of a beneficial change in the mini-rhinoconjunctivitis quality of life questionnaire (mRQLQ), individuals with AR were classified as either responders or non-responders. Systemic and mucosal immune gene expression was assessed using nCounter PanCancer Immune Profiling (Nanostring Technologies, Seattle, WA, USA) kit on blood samples and a nasal lysate. There were 414 immune genes in the blood and 312 immune genes in the mucosal samples expressed above the limit of detection. Unsupervised hierarchical clustering of immune genes separated responders from non-responders in blood and mucosal samples at baseline and after supplementation, with key T-cell immune genes differentially expressed between the groups. Striking differences in biological processes and pathways were evident in nasal mucosa but not blood in responders compared to non-responders. These findings support the use of network approaches to understand probiotic-induced changes to the immune system. MDPI 2019-11-04 /pmc/articles/PMC6896104/ /pubmed/31690037 http://dx.doi.org/10.3390/genes10110889 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
West, Nicholas P.
Watts, Annabelle M.
Smith, Peter K.
Zhang, Ping
Besseling-van der Vaart, Isolde
Cripps, Allan W.
Cox, Amanda J.
Digital Immune Gene Expression Profiling Discriminates Allergic Rhinitis Responders from Non-Responders to Probiotic Supplementation
title Digital Immune Gene Expression Profiling Discriminates Allergic Rhinitis Responders from Non-Responders to Probiotic Supplementation
title_full Digital Immune Gene Expression Profiling Discriminates Allergic Rhinitis Responders from Non-Responders to Probiotic Supplementation
title_fullStr Digital Immune Gene Expression Profiling Discriminates Allergic Rhinitis Responders from Non-Responders to Probiotic Supplementation
title_full_unstemmed Digital Immune Gene Expression Profiling Discriminates Allergic Rhinitis Responders from Non-Responders to Probiotic Supplementation
title_short Digital Immune Gene Expression Profiling Discriminates Allergic Rhinitis Responders from Non-Responders to Probiotic Supplementation
title_sort digital immune gene expression profiling discriminates allergic rhinitis responders from non-responders to probiotic supplementation
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6896104/
https://www.ncbi.nlm.nih.gov/pubmed/31690037
http://dx.doi.org/10.3390/genes10110889
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