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Molecular endotypes of type 1 and type 2 SLE
OBJECTIVE: To character the molecular landscape of patients with type 1 and type 2 SLE by analysing gene expression profiles from peripheral blood. METHODS: Full transcriptomic RNA sequencing was carried out on whole blood samples from 18 subjects with SLE selected by the presence of manifestations...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950972/ https://www.ncbi.nlm.nih.gov/pubmed/36720488 http://dx.doi.org/10.1136/lupus-2022-000861 |
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author | Robl, Robert Eudy, Amanda Bachali, Prathyusha S Rogers, Jennifer L Clowse, Megan Pisetsky, David Lipsky, Peter |
author_facet | Robl, Robert Eudy, Amanda Bachali, Prathyusha S Rogers, Jennifer L Clowse, Megan Pisetsky, David Lipsky, Peter |
author_sort | Robl, Robert |
collection | PubMed |
description | OBJECTIVE: To character the molecular landscape of patients with type 1 and type 2 SLE by analysing gene expression profiles from peripheral blood. METHODS: Full transcriptomic RNA sequencing was carried out on whole blood samples from 18 subjects with SLE selected by the presence of manifestations typical of type 1 and type 2 SLE. The top 5000 row variance genes were analysed by Multiscale Embedded Gene Co-expression Network Analysis to generate gene co-expression modules that were functionally annotated and correlated with various demographic traits, clinical features and laboratory measures. RESULTS: Expression of specific gene co-expression modules correlated with individual features of type 1 and type 2 SLE and also effectively segregated samples from patients with type 1 SLE from those with type 2 SLE. Unique type 1 SLE enrichment included interferon, monocytes, T cells, cell cycle and neurotransmitter pathways, whereas unique type 2 SLE enrichment included B cells and metabolic and neuromuscular pathways. Gene co-expression modules of patients with type 2 SLE were identified in subsets of previously reported patients with inactive SLE and idiopathic fibromyalgia (FM) and also identified subsets of patients with active SLE with a greater frequency of severe fatigue. CONCLUSION: Gene co-expression analysis successfully identified unique transcriptional patterns that segregate type 1 SLE from type 2 SLE and further identified type 2 molecular features in patients with inactive SLE or FM and with active SLE with severe fatigue. |
format | Online Article Text |
id | pubmed-9950972 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-99509722023-02-25 Molecular endotypes of type 1 and type 2 SLE Robl, Robert Eudy, Amanda Bachali, Prathyusha S Rogers, Jennifer L Clowse, Megan Pisetsky, David Lipsky, Peter Lupus Sci Med Immunology and Inflammation OBJECTIVE: To character the molecular landscape of patients with type 1 and type 2 SLE by analysing gene expression profiles from peripheral blood. METHODS: Full transcriptomic RNA sequencing was carried out on whole blood samples from 18 subjects with SLE selected by the presence of manifestations typical of type 1 and type 2 SLE. The top 5000 row variance genes were analysed by Multiscale Embedded Gene Co-expression Network Analysis to generate gene co-expression modules that were functionally annotated and correlated with various demographic traits, clinical features and laboratory measures. RESULTS: Expression of specific gene co-expression modules correlated with individual features of type 1 and type 2 SLE and also effectively segregated samples from patients with type 1 SLE from those with type 2 SLE. Unique type 1 SLE enrichment included interferon, monocytes, T cells, cell cycle and neurotransmitter pathways, whereas unique type 2 SLE enrichment included B cells and metabolic and neuromuscular pathways. Gene co-expression modules of patients with type 2 SLE were identified in subsets of previously reported patients with inactive SLE and idiopathic fibromyalgia (FM) and also identified subsets of patients with active SLE with a greater frequency of severe fatigue. CONCLUSION: Gene co-expression analysis successfully identified unique transcriptional patterns that segregate type 1 SLE from type 2 SLE and further identified type 2 molecular features in patients with inactive SLE or FM and with active SLE with severe fatigue. BMJ Publishing Group 2023-01-30 /pmc/articles/PMC9950972/ /pubmed/36720488 http://dx.doi.org/10.1136/lupus-2022-000861 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Immunology and Inflammation Robl, Robert Eudy, Amanda Bachali, Prathyusha S Rogers, Jennifer L Clowse, Megan Pisetsky, David Lipsky, Peter Molecular endotypes of type 1 and type 2 SLE |
title | Molecular endotypes of type 1 and type 2 SLE |
title_full | Molecular endotypes of type 1 and type 2 SLE |
title_fullStr | Molecular endotypes of type 1 and type 2 SLE |
title_full_unstemmed | Molecular endotypes of type 1 and type 2 SLE |
title_short | Molecular endotypes of type 1 and type 2 SLE |
title_sort | molecular endotypes of type 1 and type 2 sle |
topic | Immunology and Inflammation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950972/ https://www.ncbi.nlm.nih.gov/pubmed/36720488 http://dx.doi.org/10.1136/lupus-2022-000861 |
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