| Autor: |
Liam J. O’Neil, Pingzhao Hu, Qian Liu, Md. Mohaiminul Islam, Victor Spicer, Juergen Rech, Axel Hueber, Vidyanand Anaparti, Irene Smolik, Hani S. El-Gabalawy, Georg Schett, John A. Wilkins |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Frontiers in Immunology, Vol 12 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
1664-3224 |
| DOI: |
10.3389/fimmu.2021.729681 |
| Popis: |
ObjectivesPatients with Rheumatoid Arthritis (RA) are increasingly achieving stable disease remission, yet the mechanisms that govern ongoing clinical disease and subsequent risk of future flare are not well understood. We sought to identify serum proteomic alterations that dictate clinically important features of stable RA, and couple broad-based proteomics with machine learning to predict future flare.MethodsWe studied baseline serum samples from a cohort of stable RA patients (RETRO, n = 130) in clinical remission (DAS28 |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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