Cited by 109Rheumatoid Arthritis Research and TherapiesBiomarkers in Disease MechanismsSystemic Lupus Erythematosus Research

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Mechanistic biomarkers for clinical decision making in rheumatic diseases

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Robinson, William H., Lindstrom, Tamsin M., Cheung, Regina K., Sokolove, Jeremy·2013·Nature Reviews Rheumatology

DOI 10.1038/nrrheum.2013.14PMC PMC3673766

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Abstract

The use of biomarkers is becoming increasingly intrinsic to the practice of medicine and holds great promise for transforming the practice of rheumatology. Biomarkers have the potential to aid clinical diagnosis when symptoms are present or to provide a means of detecting early signs of disease when they are not. Some biomarkers can serve as early surrogates of eventual clinical outcomes or guide therapeutic decision making by enabling identification of individuals likely to respond to a specific therapy. Using biomarkers might reduce the costs of drug development by enabling individuals most likely to respond to be enrolled in clinical trials, thereby minimizing the number of participants required. In this Review, we discuss the current use and the potential of biomarkers in rheumatology and in select fields at the forefront of biomarker research. We emphasize the value of different types of biomarkers, addressing the concept of 'actionable' biomarkers, which can be used to guide clinical decision making, and 'mechanistic' biomarkers, a subtype of actionable biomarker that is embedded in disease pathogenesis and, therefore, represents a potentially superior biomarker. We provide examples of actionable and mechanistic biomarkers currently available, and discuss how development of such biomarkers could revolutionize clinical practice and drug development.

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Authors: Robinson, W. H., Lindstrom, T. M., Cheung, R. K., & Sokolove, J.
Affiliations: VA Palo Alto Health Care System (US)
Stanford Medicine (US)
Corresponding author: Robinson, William H.
ORCID: Robinson, William H.
Sokolove, Jeremy
Venue: Nature Reviews Rheumatology
Publisher: Springer Science and Business Media LLC
Published: 2013-02-19
Volume: 9
Issue: 5
Pages: 267-276
ISSN: 1759-4790 (ISSN-L)
1759-4804
DOI: 10.1038/nrrheum.2013.14
PMC: PMC3673766
OpenAlex: W2010417263
Cited by: 109
References: 107
Citations by year: 2026: 5 · 2025: 10 · 2024: 4 · 2023: 7 · 2022: 5 · 2021: 8 · 2020: 12 · 2019: 9 · 2018: 5 · 2017: 12 · 2016: 7 · 2015: 9 · 2014: 11 · 2013: 5
FWCI: 1.73
Type: journal article
Language: en
Open access: green
europepmc.org
Licence: www.springer.com/tdm (tdm)
Locations: Nature Reviews Rheumatology (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Funders: National Heart, Lung, and Blood Institute (N01-HV 00242)
National Institute of Allergy and Infectious Diseases (U01 U01AI101981, U01AI101981)
National Institute of Arthritis and Musculoskeletal and Skin Diseases (RC1AR058713, R01AR054822)
Topics: Health Sciences › Medicine › Rheumatology › Rheumatoid Arthritis Research and Therapies
Life Sciences › Immunology and Microbiology › Immunology › Biomarkers in Disease Mechanisms
Health Sciences › Medicine › Rheumatology › Systemic Lupus Erythematosus Research
Keywords: mechanistic biomarkers, actionable biomarkers, rheumatic diseases, clinical decision-making, disease activity, drug development, early diagnosis, treatment response prediction, pathogenesis, clinical trial recruitment
MeSH terms: Animals, Decision Making, Humans, Rheumatic Diseases, Rheumatology, Biomarkers

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Mechanistic biomarkers for clinical decision making in rheumatic diseases

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