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Insights into the molecular landscape of osteoarthritis in human tissues
To provide an overview of recent developments in the field of osteoarthritis research with a focus on insights gleaned from the application of different -omic technologies. RECENT FINDINGS: We searched for osteoarthritis-relevant studies focusing on transcriptomics, epigenomics, proteomics and metab...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635257/ https://www.ncbi.nlm.nih.gov/pubmed/34750308 http://dx.doi.org/10.1097/BOR.0000000000000853 |
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author | Katsoula, Georgia Kreitmaier, Peter Zeggini, Eleftheria |
author_facet | Katsoula, Georgia Kreitmaier, Peter Zeggini, Eleftheria |
author_sort | Katsoula, Georgia |
collection | PubMed |
description | To provide an overview of recent developments in the field of osteoarthritis research with a focus on insights gleaned from the application of different -omic technologies. RECENT FINDINGS: We searched for osteoarthritis-relevant studies focusing on transcriptomics, epigenomics, proteomics and metabolomics, published since November of 2019. Study designs showed a trend towards characterizing the genomic profile of osteoarthritis-relevant tissues with high resolution, for example either by using single-cell technologies or by considering several -omic levels and disease stages. SUMMARY: Multitissue interactions (cartilage–subchondral bone; cartilage–synovium) are prevalent in the pathophysiology of osteoarthritis, which is characterized by substantial matrix remodelling in an inflammatory milieu. Subtyping approaches using -omic technologies have contributed to the identification of at least two osteoarthritis endotypes. Studies using data integration approaches have provided molecular maps that are tissue-specific for osteoarthritis and pave the way for expanding these data integration approaches towards a more comprehensive view of disease aetiopathogenesis. |
format | Online Article Text |
id | pubmed-8635257 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-86352572021-12-07 Insights into the molecular landscape of osteoarthritis in human tissues Katsoula, Georgia Kreitmaier, Peter Zeggini, Eleftheria Curr Opin Rheumatol OSTEOARTHRITIS: Edited by Mukundan Attur To provide an overview of recent developments in the field of osteoarthritis research with a focus on insights gleaned from the application of different -omic technologies. RECENT FINDINGS: We searched for osteoarthritis-relevant studies focusing on transcriptomics, epigenomics, proteomics and metabolomics, published since November of 2019. Study designs showed a trend towards characterizing the genomic profile of osteoarthritis-relevant tissues with high resolution, for example either by using single-cell technologies or by considering several -omic levels and disease stages. SUMMARY: Multitissue interactions (cartilage–subchondral bone; cartilage–synovium) are prevalent in the pathophysiology of osteoarthritis, which is characterized by substantial matrix remodelling in an inflammatory milieu. Subtyping approaches using -omic technologies have contributed to the identification of at least two osteoarthritis endotypes. Studies using data integration approaches have provided molecular maps that are tissue-specific for osteoarthritis and pave the way for expanding these data integration approaches towards a more comprehensive view of disease aetiopathogenesis. Lippincott Williams & Wilkins 2022-01 2021-11-08 /pmc/articles/PMC8635257/ /pubmed/34750308 http://dx.doi.org/10.1097/BOR.0000000000000853 Text en Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | OSTEOARTHRITIS: Edited by Mukundan Attur Katsoula, Georgia Kreitmaier, Peter Zeggini, Eleftheria Insights into the molecular landscape of osteoarthritis in human tissues |
title | Insights into the molecular landscape of osteoarthritis in human tissues |
title_full | Insights into the molecular landscape of osteoarthritis in human tissues |
title_fullStr | Insights into the molecular landscape of osteoarthritis in human tissues |
title_full_unstemmed | Insights into the molecular landscape of osteoarthritis in human tissues |
title_short | Insights into the molecular landscape of osteoarthritis in human tissues |
title_sort | insights into the molecular landscape of osteoarthritis in human tissues |
topic | OSTEOARTHRITIS: Edited by Mukundan Attur |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635257/ https://www.ncbi.nlm.nih.gov/pubmed/34750308 http://dx.doi.org/10.1097/BOR.0000000000000853 |
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