T-cell subset abnormalities predict progression along the Inflammatory Arthritis disease continuum: implications for management
| Autor: | Hanna Gul, Agata Burska, Rekha Parmar, Thibault Rabin, Maya H Buch, Frederique Ponchel, L. Hunt, Philip G. Conaghan, Paul Emery |
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| Rok vydání: | 2020 |
| Předmět: |
Adult
Male 0301 basic medicine Oncology medicine.medical_specialty medicine.medical_treatment Inflammatory arthritis lcsh:Medicine Inflammation Disease Risk Assessment T-Lymphocytes Regulatory Article Targeted therapy Arthritis Rheumatoid 03 medical and health sciences 0302 clinical medicine Text mining Rheumatology Internal medicine Humans Medicine Rheumatoid arthritis lcsh:Science Aged Aged 80 and over 030203 arthritis & rheumatology Multidisciplinary business.industry lcsh:R Autoantibody Odds ratio Middle Aged medicine.disease 3. Good health 030104 developmental biology Disease Progression lcsh:Q Female medicine.symptom business |
| Zdroj: | Scientific Reports Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020) |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/s41598-020-60314-w |
| Popis: | The presence of a disease continuum in inflammatory arthritis (IA) is a recognised concept, with distinct stages from at-risk stage (presence of anti citrullinated-peptide autoantibody) to diagnosis of rheumatoid arthritis (RA), including therapy-induced remission. Despite T-cell dysregulation being a key feature of RA, there are few reports of T-cell phenotyping along the IA-continuum. We investigated the disturbances of naïve, regulatory and inflammation related cell (IRC) CD4+ T-cell subsets in 705 individuals across the IA-continuum, developing a simple risk-score (summing presence/absence of a risk-associated with a subset) to predict progression from one stage to the next. In 158 at-risk individuals, the 3 subsets had individual association with progression to IA and the risk-score was highly predictive (p |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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