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Decoding the differential biomarkers of Rheumatoid arthritis and Osteoarthritis: A functional genomics paradigm to design disease specific therapeutics

Rheumatoid arthritis (RA) is a chronic systemic inflammatory disease of unidentified aetiology, chiefly affecting the synovial membranes of joints, cartilage, bone, bursa and tendon sheath. Osteoarthritis (OA) is a degenerative disorder and encompass different sets of pathogenic pathways than RA; ho...

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Detalles Bibliográficos
Autores principales: Biswas, Sreyasi, Manikandan, Jayapal, Pushparaj, Peter Natesan
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3092949/
https://www.ncbi.nlm.nih.gov/pubmed/21572882
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author Biswas, Sreyasi
Manikandan, Jayapal
Pushparaj, Peter Natesan
author_facet Biswas, Sreyasi
Manikandan, Jayapal
Pushparaj, Peter Natesan
author_sort Biswas, Sreyasi
collection PubMed
description Rheumatoid arthritis (RA) is a chronic systemic inflammatory disease of unidentified aetiology, chiefly affecting the synovial membranes of joints, cartilage, bone, bursa and tendon sheath. Osteoarthritis (OA) is a degenerative disorder and encompass different sets of pathogenic pathways than RA; however, it shows a medley of clinical manifestations or symptoms resembling RA. Hence, we intend to identify more disease specific biomarkers through the meta-analysis of microarray datasets that can be crucial in the differential diagnosis, disease specific treatment as well as management of both RA and OA in a typical clinical setting.
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spelling pubmed-30929492011-05-13 Decoding the differential biomarkers of Rheumatoid arthritis and Osteoarthritis: A functional genomics paradigm to design disease specific therapeutics Biswas, Sreyasi Manikandan, Jayapal Pushparaj, Peter Natesan Bioinformation Hypothesis Rheumatoid arthritis (RA) is a chronic systemic inflammatory disease of unidentified aetiology, chiefly affecting the synovial membranes of joints, cartilage, bone, bursa and tendon sheath. Osteoarthritis (OA) is a degenerative disorder and encompass different sets of pathogenic pathways than RA; however, it shows a medley of clinical manifestations or symptoms resembling RA. Hence, we intend to identify more disease specific biomarkers through the meta-analysis of microarray datasets that can be crucial in the differential diagnosis, disease specific treatment as well as management of both RA and OA in a typical clinical setting. Biomedical Informatics 2011-05-07 /pmc/articles/PMC3092949/ /pubmed/21572882 Text en © 2011 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Hypothesis
Biswas, Sreyasi
Manikandan, Jayapal
Pushparaj, Peter Natesan
Decoding the differential biomarkers of Rheumatoid arthritis and Osteoarthritis: A functional genomics paradigm to design disease specific therapeutics
title Decoding the differential biomarkers of Rheumatoid arthritis and Osteoarthritis: A functional genomics paradigm to design disease specific therapeutics
title_full Decoding the differential biomarkers of Rheumatoid arthritis and Osteoarthritis: A functional genomics paradigm to design disease specific therapeutics
title_fullStr Decoding the differential biomarkers of Rheumatoid arthritis and Osteoarthritis: A functional genomics paradigm to design disease specific therapeutics
title_full_unstemmed Decoding the differential biomarkers of Rheumatoid arthritis and Osteoarthritis: A functional genomics paradigm to design disease specific therapeutics
title_short Decoding the differential biomarkers of Rheumatoid arthritis and Osteoarthritis: A functional genomics paradigm to design disease specific therapeutics
title_sort decoding the differential biomarkers of rheumatoid arthritis and osteoarthritis: a functional genomics paradigm to design disease specific therapeutics
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3092949/
https://www.ncbi.nlm.nih.gov/pubmed/21572882
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