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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...

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Autores principales: Katsoula, Georgia, Kreitmaier, Peter, Zeggini, Eleftheria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
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.
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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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