OBJECTIVE: To aid in the selection of the most suitable therapeutic option in patients with diagnosis of rheumatoid arthritis according to the phase of disease, through the review of articles that identify omics biological markers. METHODS: A systematic review in PubMed/Medline databases was performed. We searched articles from August 2014 to September 2019, in English and Spanish, filtered by title and full text; and using the terms "Biomarkers" AND "Rheumatoid arthritis". RESULTS: This article supplies an exhaustive review from research of objective measurement, omics biomarkers and how disease activity appraise decrease unpredictability in treatment determinations, and finally, economic, and clinical outcomes of treatment options by biomarkers' potential influence. A total of 122 articles were included. Only 92 met the established criteria for review purposes and 17 relevant references about the topic were included as well. Therefore, it was possible to identify 196 potential clinical biomarkers: 22 non-omics, 20 epigenomics, 33 genomics, 21 transcriptomics, 78 proteomics, 4 glycomics, 1 lipidomics and 17 metabolomics. CONCLUSION: A biomarker is a measurable indicator of some, biochemical, physiological, or morphological condition; evaluable at a molecular, biochemical, or cellular level. Biomarkers work as indicators of physiological or pathological processes, or as a result of a therapeutic management. In the last five years, new biomarkers have been identified, especially the omics, which are those that proceed from the investigation of genes (genomics), metabolites (metabolomics), and proteins (proteomics). These biomarkers contribute to the physician choosing the best therapeutic option in patients with rheumatoid arthritis.
OBJECTIVE: To aid in the selection of the most suitable therapeutic option in patients with diagnosis of rheumatoid arthritis according to the phase of disease, through the review of articles that identify omics biological markers. METHODS: A systematic review in PubMed/Medline databases was performed. We searched articles from August 2014 to September 2019, in English and Spanish, filtered by title and full text; and using the terms "Biomarkers" AND "Rheumatoid arthritis". RESULTS: This article supplies an exhaustive review from research of objective measurement, omics biomarkers and how disease activity appraise decrease unpredictability in treatment determinations, and finally, economic, and clinical outcomes of treatment options by biomarkers' potential influence. A total of 122 articles were included. Only 92 met the established criteria for review purposes and 17 relevant references about the topic were included as well. Therefore, it was possible to identify 196 potential clinical biomarkers: 22 non-omics, 20 epigenomics, 33 genomics, 21 transcriptomics, 78 proteomics, 4 glycomics, 1 lipidomics and 17 metabolomics. CONCLUSION: A biomarker is a measurable indicator of some, biochemical, physiological, or morphological condition; evaluable at a molecular, biochemical, or cellular level. Biomarkers work as indicators of physiological or pathological processes, or as a result of a therapeutic management. In the last five years, new biomarkers have been identified, especially the omics, which are those that proceed from the investigation of genes (genomics), metabolites (metabolomics), and proteins (proteomics). These biomarkers contribute to the physician choosing the best therapeutic option in patients with rheumatoid arthritis.
Authors: Sandeep K Agarwal; Roberta J Glass; Nancy A Shadick; Jonathan S Coblyn; Ronald J Anderson; Nancy E Maher; Michael E Weinblatt; Daniel H Solomon Journal: J Rheumatol Date: 2008-07-15 Impact factor: 4.666
Authors: Shintaro Hirata; Linda Dirven; Yijing Shen; Michael Centola; Guy Cavet; Willem F Lems; Yoshiya Tanaka; Thomas W J Huizinga; Cornelia F Allaart Journal: Rheumatology (Oxford) Date: 2013-02-07 Impact factor: 7.580
Authors: Chang Min Lee; Sang Soo Lee; Jeong Mi Lee; Hyun Chin Cho; Wan Soo Kim; Hong Jun Kim; Chang Yoon Ha; Hyun Jin Kim; Tae Hyo Kim; Woon Tae Jung; Ok Jae Lee Journal: Korean J Intern Med Date: 2015-12-28 Impact factor: 2.884