AI Article Synopsis
- Osteoarthritis (OA) and rheumatoid arthritis (RA) are the most common rheumatic diseases, but there's a lack of reliable biomarkers for early diagnosis and progression prediction.
- This review explores first-generation biomarkers discovered over 20 years and recent advancements in mass-spectrometry-based proteomics to identify potential OA biomarkers for improved diagnosis and monitoring.
- It also discusses challenges in discovering new biomarkers and suggests future directions for the validation and measurement of biomarkers in OA and RA.
Article Abstract
Osteoarthritis (OA) and rheumatoid arthritis (RA) are most prevalent among all the rheumatic diseases, and currently, there are no reliable biochemical measures for early diagnosis or for predicting who is likely to progress. Early diagnosis is important for making decisions on treatment options and for better management of patients. This narrative review highlights the first-generation biomarkers identified over the last two decades and focuses on the discovery and validation of candidate OA biomarkers from recent mass-spectrometry-based proteomic studies for diagnosis and monitoring disease outcomes in human. It discusses the challenges and opportunities for discovery of novel biomarkers and progress in the development of techniques for measuring biomarkers, and provides directions for future discovery and validation of biomarkers for OA and rheumatoid arthritis.
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| http://dx.doi.org/10.2217/bmm-2016-0374 | DOI Listing |
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