Cargando…

Ulcerative colitis immune cell landscapes and differentially expressed gene signatures determine novel regulators and predict clinical response to biologic therapy

The heterogeneous pathobiology underlying Ulcerative Colitis (UC) is not fully understood. Using publicly available transcriptomes from adult UC patients, we identified the immune cell landscape, molecular pathways, and differentially expressed genes (DEGs) across patient cohorts and their associati...

Descripción completa

Detalles Bibliográficos
Autores principales: Penrose, Harrison M., Iftikhar, Rida, Collins, Morgan E., Toraih, Eman, Ruiz, Emmanuelle, Ungerleider, Nathan, Nakhoul, Hani, Flemington, Erik F., Kandil, Emad, Shah, Shamita B., Savkovic, Suzana D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8079702/
https://www.ncbi.nlm.nih.gov/pubmed/33907256
http://dx.doi.org/10.1038/s41598-021-88489-w
_version_ 1783685267656278016
author Penrose, Harrison M.
Iftikhar, Rida
Collins, Morgan E.
Toraih, Eman
Ruiz, Emmanuelle
Ungerleider, Nathan
Nakhoul, Hani
Flemington, Erik F.
Kandil, Emad
Shah, Shamita B.
Savkovic, Suzana D.
author_facet Penrose, Harrison M.
Iftikhar, Rida
Collins, Morgan E.
Toraih, Eman
Ruiz, Emmanuelle
Ungerleider, Nathan
Nakhoul, Hani
Flemington, Erik F.
Kandil, Emad
Shah, Shamita B.
Savkovic, Suzana D.
author_sort Penrose, Harrison M.
collection PubMed
description The heterogeneous pathobiology underlying Ulcerative Colitis (UC) is not fully understood. Using publicly available transcriptomes from adult UC patients, we identified the immune cell landscape, molecular pathways, and differentially expressed genes (DEGs) across patient cohorts and their association with treatment outcomes. The global immune cell landscape of UC tissue included increased neutrophils, T CD4 memory activated cells, active dendritic cells (DC), and M0 macrophages, as well as reduced trends in T CD8, Tregs, B memory, resting DC, and M2 macrophages. Pathway analysis of DEGs across UC cohorts demonstrated activated bacterial, inflammatory, growth, and cellular signaling. We identified a specific transcriptional signature of one hundred DEGs (UC(100)) that distinctly separated UC inflamed from uninflamed transcriptomes. Several UC(100) DEGs, with unidentified roles in UC, were validated in primary tissue. Additionally, non-responders to anti-TNFα and anti-α4β7 therapy displayed distinct profiles of immune cells and pathways pertaining to inflammation, growth, and metabolism. We identified twenty resistant DEGs in UC non-responders to both therapies of which four had significant predictive power to treatment outcome. We demonstrated the global immune landscape and pathways in UC tissue, highlighting a unique UC signature across cohorts and a UC resistant signature with predictive performance to biologic therapy outcome.
format Online
Article
Text
id pubmed-8079702
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-80797022021-04-28 Ulcerative colitis immune cell landscapes and differentially expressed gene signatures determine novel regulators and predict clinical response to biologic therapy Penrose, Harrison M. Iftikhar, Rida Collins, Morgan E. Toraih, Eman Ruiz, Emmanuelle Ungerleider, Nathan Nakhoul, Hani Flemington, Erik F. Kandil, Emad Shah, Shamita B. Savkovic, Suzana D. Sci Rep Article The heterogeneous pathobiology underlying Ulcerative Colitis (UC) is not fully understood. Using publicly available transcriptomes from adult UC patients, we identified the immune cell landscape, molecular pathways, and differentially expressed genes (DEGs) across patient cohorts and their association with treatment outcomes. The global immune cell landscape of UC tissue included increased neutrophils, T CD4 memory activated cells, active dendritic cells (DC), and M0 macrophages, as well as reduced trends in T CD8, Tregs, B memory, resting DC, and M2 macrophages. Pathway analysis of DEGs across UC cohorts demonstrated activated bacterial, inflammatory, growth, and cellular signaling. We identified a specific transcriptional signature of one hundred DEGs (UC(100)) that distinctly separated UC inflamed from uninflamed transcriptomes. Several UC(100) DEGs, with unidentified roles in UC, were validated in primary tissue. Additionally, non-responders to anti-TNFα and anti-α4β7 therapy displayed distinct profiles of immune cells and pathways pertaining to inflammation, growth, and metabolism. We identified twenty resistant DEGs in UC non-responders to both therapies of which four had significant predictive power to treatment outcome. We demonstrated the global immune landscape and pathways in UC tissue, highlighting a unique UC signature across cohorts and a UC resistant signature with predictive performance to biologic therapy outcome. Nature Publishing Group UK 2021-04-27 /pmc/articles/PMC8079702/ /pubmed/33907256 http://dx.doi.org/10.1038/s41598-021-88489-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Penrose, Harrison M.
Iftikhar, Rida
Collins, Morgan E.
Toraih, Eman
Ruiz, Emmanuelle
Ungerleider, Nathan
Nakhoul, Hani
Flemington, Erik F.
Kandil, Emad
Shah, Shamita B.
Savkovic, Suzana D.
Ulcerative colitis immune cell landscapes and differentially expressed gene signatures determine novel regulators and predict clinical response to biologic therapy
title Ulcerative colitis immune cell landscapes and differentially expressed gene signatures determine novel regulators and predict clinical response to biologic therapy
title_full Ulcerative colitis immune cell landscapes and differentially expressed gene signatures determine novel regulators and predict clinical response to biologic therapy
title_fullStr Ulcerative colitis immune cell landscapes and differentially expressed gene signatures determine novel regulators and predict clinical response to biologic therapy
title_full_unstemmed Ulcerative colitis immune cell landscapes and differentially expressed gene signatures determine novel regulators and predict clinical response to biologic therapy
title_short Ulcerative colitis immune cell landscapes and differentially expressed gene signatures determine novel regulators and predict clinical response to biologic therapy
title_sort ulcerative colitis immune cell landscapes and differentially expressed gene signatures determine novel regulators and predict clinical response to biologic therapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8079702/
https://www.ncbi.nlm.nih.gov/pubmed/33907256
http://dx.doi.org/10.1038/s41598-021-88489-w
work_keys_str_mv AT penroseharrisonm ulcerativecolitisimmunecelllandscapesanddifferentiallyexpressedgenesignaturesdeterminenovelregulatorsandpredictclinicalresponsetobiologictherapy
AT iftikharrida ulcerativecolitisimmunecelllandscapesanddifferentiallyexpressedgenesignaturesdeterminenovelregulatorsandpredictclinicalresponsetobiologictherapy
AT collinsmorgane ulcerativecolitisimmunecelllandscapesanddifferentiallyexpressedgenesignaturesdeterminenovelregulatorsandpredictclinicalresponsetobiologictherapy
AT toraiheman ulcerativecolitisimmunecelllandscapesanddifferentiallyexpressedgenesignaturesdeterminenovelregulatorsandpredictclinicalresponsetobiologictherapy
AT ruizemmanuelle ulcerativecolitisimmunecelllandscapesanddifferentiallyexpressedgenesignaturesdeterminenovelregulatorsandpredictclinicalresponsetobiologictherapy
AT ungerleidernathan ulcerativecolitisimmunecelllandscapesanddifferentiallyexpressedgenesignaturesdeterminenovelregulatorsandpredictclinicalresponsetobiologictherapy
AT nakhoulhani ulcerativecolitisimmunecelllandscapesanddifferentiallyexpressedgenesignaturesdeterminenovelregulatorsandpredictclinicalresponsetobiologictherapy
AT flemingtonerikf ulcerativecolitisimmunecelllandscapesanddifferentiallyexpressedgenesignaturesdeterminenovelregulatorsandpredictclinicalresponsetobiologictherapy
AT kandilemad ulcerativecolitisimmunecelllandscapesanddifferentiallyexpressedgenesignaturesdeterminenovelregulatorsandpredictclinicalresponsetobiologictherapy
AT shahshamitab ulcerativecolitisimmunecelllandscapesanddifferentiallyexpressedgenesignaturesdeterminenovelregulatorsandpredictclinicalresponsetobiologictherapy
AT savkovicsuzanad ulcerativecolitisimmunecelllandscapesanddifferentiallyexpressedgenesignaturesdeterminenovelregulatorsandpredictclinicalresponsetobiologictherapy