Recent advances in omics and the integration of multi-omics in osteoarthritis research
Abstract Osteoarthritis (OA) is a complex disorder driven by the combination of environmental and genetic factors. Given its high global prevalence and heterogeneity, developing effective and personalized treatment methods is crucial. This requires identifying new disease mechanisms, drug targets, a...
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| Language: | English |
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BMC
2025-05-01
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| Series: | Arthritis Research & Therapy |
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| Online Access: | https://doi.org/10.1186/s13075-025-03563-2 |
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| author | Ye Liu Vladimir Molchanov David Brass Tao Yang |
| author_facet | Ye Liu Vladimir Molchanov David Brass Tao Yang |
| author_sort | Ye Liu |
| collection | DOAJ |
| description | Abstract Osteoarthritis (OA) is a complex disorder driven by the combination of environmental and genetic factors. Given its high global prevalence and heterogeneity, developing effective and personalized treatment methods is crucial. This requires identifying new disease mechanisms, drug targets, and biomarkers. Various omics approaches have been applied to identify OA-related genes, pathways, and biomarkers, including genomics, epigenomics, transcriptomics, proteomics, and metabolomics. These omics studies have generated vast datasets that are shaping the field of OA research. The emergence of high-resolution methodologies, such as single-cell and spatial omics techniques, further enhances our ability to dissect molecular complexities within the OA microenvironment. By integrating these multi-layered datasets, researchers can uncover central signaling hubs and disease mechanisms, ultimately facilitating the development of targeted therapies and precision medicine approaches for OA treatment. |
| format | Article |
| id | doaj-art-a645243723bc4150a5936df65d0e4f72 |
| institution | OA Journals |
| issn | 1478-6362 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | BMC |
| record_format | Article |
| series | Arthritis Research & Therapy |
| spelling | doaj-art-a645243723bc4150a5936df65d0e4f722025-08-20T01:47:29ZengBMCArthritis Research & Therapy1478-63622025-05-0127111510.1186/s13075-025-03563-2Recent advances in omics and the integration of multi-omics in osteoarthritis researchYe Liu0Vladimir Molchanov1David Brass2Tao Yang3Department of Cell Biology, Van Andel Research InstituteDepartment of Cell Biology, Van Andel Research InstituteDepartment of Cell Biology, Van Andel Research InstituteDepartment of Cell Biology, Van Andel Research InstituteAbstract Osteoarthritis (OA) is a complex disorder driven by the combination of environmental and genetic factors. Given its high global prevalence and heterogeneity, developing effective and personalized treatment methods is crucial. This requires identifying new disease mechanisms, drug targets, and biomarkers. Various omics approaches have been applied to identify OA-related genes, pathways, and biomarkers, including genomics, epigenomics, transcriptomics, proteomics, and metabolomics. These omics studies have generated vast datasets that are shaping the field of OA research. The emergence of high-resolution methodologies, such as single-cell and spatial omics techniques, further enhances our ability to dissect molecular complexities within the OA microenvironment. By integrating these multi-layered datasets, researchers can uncover central signaling hubs and disease mechanisms, ultimately facilitating the development of targeted therapies and precision medicine approaches for OA treatment.https://doi.org/10.1186/s13075-025-03563-2OsteoarthritisMulti-omicsSpatial omicsSingle cell omicsGWASArtificial intelligence |
| spellingShingle | Ye Liu Vladimir Molchanov David Brass Tao Yang Recent advances in omics and the integration of multi-omics in osteoarthritis research Arthritis Research & Therapy Osteoarthritis Multi-omics Spatial omics Single cell omics GWAS Artificial intelligence |
| title | Recent advances in omics and the integration of multi-omics in osteoarthritis research |
| title_full | Recent advances in omics and the integration of multi-omics in osteoarthritis research |
| title_fullStr | Recent advances in omics and the integration of multi-omics in osteoarthritis research |
| title_full_unstemmed | Recent advances in omics and the integration of multi-omics in osteoarthritis research |
| title_short | Recent advances in omics and the integration of multi-omics in osteoarthritis research |
| title_sort | recent advances in omics and the integration of multi omics in osteoarthritis research |
| topic | Osteoarthritis Multi-omics Spatial omics Single cell omics GWAS Artificial intelligence |
| url | https://doi.org/10.1186/s13075-025-03563-2 |
| work_keys_str_mv | AT yeliu recentadvancesinomicsandtheintegrationofmultiomicsinosteoarthritisresearch AT vladimirmolchanov recentadvancesinomicsandtheintegrationofmultiomicsinosteoarthritisresearch AT davidbrass recentadvancesinomicsandtheintegrationofmultiomicsinosteoarthritisresearch AT taoyang recentadvancesinomicsandtheintegrationofmultiomicsinosteoarthritisresearch |