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Multiomic analysis identifies natural intrapatient temporal variability and changes in response to systemic corticosteroid therapy in chronic rhinosinusitis
INTRODUCTION: The pathophysiology and temporal dynamics of affected tissues in chronic rhinosinusitis (CRS) remain poorly understood. Here, we present a multiomics‐based time‐series assessment of nasal polyp biopsies from three patients with CRS, assessing natural variability over time and local res...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7860613/ https://www.ncbi.nlm.nih.gov/pubmed/33220024 http://dx.doi.org/10.1002/iid3.349 |
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author | Hoggard, Michael Jacob, Bincy Wheeler, David Zoing, Melissa Chang, Kevin Biswas, Kristi Middleditch, Martin Douglas, Richard G. Taylor, Michael W. |
author_facet | Hoggard, Michael Jacob, Bincy Wheeler, David Zoing, Melissa Chang, Kevin Biswas, Kristi Middleditch, Martin Douglas, Richard G. Taylor, Michael W. |
author_sort | Hoggard, Michael |
collection | PubMed |
description | INTRODUCTION: The pathophysiology and temporal dynamics of affected tissues in chronic rhinosinusitis (CRS) remain poorly understood. Here, we present a multiomics‐based time‐series assessment of nasal polyp biopsies from three patients with CRS, assessing natural variability over time and local response to systemic corticosteroid therapy. METHODS: Polyp tissue biopsies were collected at three time points over two consecutive weeks. Patients were prescribed prednisone (30 mg daily) for 1 week between Collections 2 and 3. Polyp transcriptome, proteome, and microbiota were assessed via RNAseq, SWATH mass spectrometry, and 16S ribosomal RNA and ITS2 amplicon sequencing. Baseline interpatient variability, natural intrapatient variability over time, and local response to systemic corticosteroids, were investigated. RESULTS: Overall, the highly abundant transcripts and proteins were associated with pathways involved in inflammation, FAS, cadherin, integrin, Wnt, apoptosis, and cytoskeletal signaling, as well as coagulation and B‐ and T‐cell activation. Transcripts and proteins that naturally varied over time included those involved with inflammation‐ and epithelial–mesenchymal transition‐related pathways, and a number of common candidate target biomarkers of CRS. Ten transcripts responded significantly to corticosteroid therapy, including downregulation of TNF, CCL20, and GSDMA, and upregulation of OVGP1, and PCDHGB1. Members of the bacterial genus Streptococcus positively correlated with immunoglobulin proteins IGKC and IGHG1. CONCLUSIONS: Understanding natural dynamics of CRS‐associated tissues is essential to provide baseline context for all studies on putative biomarkers, mechanisms, and subtypes of CRS. These data further our understanding of the natural dynamics within nasal polypoid tissue, as well as local changes in response to systemic corticosteroid therapy. |
format | Online Article Text |
id | pubmed-7860613 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78606132021-02-05 Multiomic analysis identifies natural intrapatient temporal variability and changes in response to systemic corticosteroid therapy in chronic rhinosinusitis Hoggard, Michael Jacob, Bincy Wheeler, David Zoing, Melissa Chang, Kevin Biswas, Kristi Middleditch, Martin Douglas, Richard G. Taylor, Michael W. Immun Inflamm Dis Original Research INTRODUCTION: The pathophysiology and temporal dynamics of affected tissues in chronic rhinosinusitis (CRS) remain poorly understood. Here, we present a multiomics‐based time‐series assessment of nasal polyp biopsies from three patients with CRS, assessing natural variability over time and local response to systemic corticosteroid therapy. METHODS: Polyp tissue biopsies were collected at three time points over two consecutive weeks. Patients were prescribed prednisone (30 mg daily) for 1 week between Collections 2 and 3. Polyp transcriptome, proteome, and microbiota were assessed via RNAseq, SWATH mass spectrometry, and 16S ribosomal RNA and ITS2 amplicon sequencing. Baseline interpatient variability, natural intrapatient variability over time, and local response to systemic corticosteroids, were investigated. RESULTS: Overall, the highly abundant transcripts and proteins were associated with pathways involved in inflammation, FAS, cadherin, integrin, Wnt, apoptosis, and cytoskeletal signaling, as well as coagulation and B‐ and T‐cell activation. Transcripts and proteins that naturally varied over time included those involved with inflammation‐ and epithelial–mesenchymal transition‐related pathways, and a number of common candidate target biomarkers of CRS. Ten transcripts responded significantly to corticosteroid therapy, including downregulation of TNF, CCL20, and GSDMA, and upregulation of OVGP1, and PCDHGB1. Members of the bacterial genus Streptococcus positively correlated with immunoglobulin proteins IGKC and IGHG1. CONCLUSIONS: Understanding natural dynamics of CRS‐associated tissues is essential to provide baseline context for all studies on putative biomarkers, mechanisms, and subtypes of CRS. These data further our understanding of the natural dynamics within nasal polypoid tissue, as well as local changes in response to systemic corticosteroid therapy. John Wiley and Sons Inc. 2020-11-21 /pmc/articles/PMC7860613/ /pubmed/33220024 http://dx.doi.org/10.1002/iid3.349 Text en © 2020 The Authors. Immunity, Inflammation and Disease published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Hoggard, Michael Jacob, Bincy Wheeler, David Zoing, Melissa Chang, Kevin Biswas, Kristi Middleditch, Martin Douglas, Richard G. Taylor, Michael W. Multiomic analysis identifies natural intrapatient temporal variability and changes in response to systemic corticosteroid therapy in chronic rhinosinusitis |
title | Multiomic analysis identifies natural intrapatient temporal variability and changes in response to systemic corticosteroid therapy in chronic rhinosinusitis |
title_full | Multiomic analysis identifies natural intrapatient temporal variability and changes in response to systemic corticosteroid therapy in chronic rhinosinusitis |
title_fullStr | Multiomic analysis identifies natural intrapatient temporal variability and changes in response to systemic corticosteroid therapy in chronic rhinosinusitis |
title_full_unstemmed | Multiomic analysis identifies natural intrapatient temporal variability and changes in response to systemic corticosteroid therapy in chronic rhinosinusitis |
title_short | Multiomic analysis identifies natural intrapatient temporal variability and changes in response to systemic corticosteroid therapy in chronic rhinosinusitis |
title_sort | multiomic analysis identifies natural intrapatient temporal variability and changes in response to systemic corticosteroid therapy in chronic rhinosinusitis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7860613/ https://www.ncbi.nlm.nih.gov/pubmed/33220024 http://dx.doi.org/10.1002/iid3.349 |
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