Cited by 95Rheumatoid Arthritis Research and TherapiesSystemic Lupus Erythematosus ResearchAdvanced Biosensing Techniques and Applications

New tools for classification and monitoring of autoimmune diseases

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Maecker, Holden T., Lindstrom, Tamsin M., Robinson, William H., Utz, Paul J., Hale, Matthew, Boyd, Scott D., Shen-Orr, Shai S., Fathman, C. Garrison·2012·Nature Reviews Rheumatology

Abstract

Rheumatologists see patients with a range of autoimmune diseases. Phenotyping these diseases for diagnosis, prognosis and selection of therapies is an ever increasing problem. Advances in multiplexed assay technology at the gene, protein, and cellular level have enabled the identification of 'actionable biomarkers'; that is, biological metrics that can inform clinical practice. Not only will such biomarkers yield insight into the development, remission, and exacerbation of a disease, they will undoubtedly improve diagnostic sensitivity and accuracy of classification, and ultimately guide treatment. This Review provides an introduction to these powerful technologies that could promote the identification of actionable biomarkers, including mass cytometry, protein arrays, and immunoglobulin and T-cell receptor high-throughput sequencing. In our opinion, these technologies should become part of routine clinical practice for the management of autoimmune diseases. The use of analytical tools to deconvolve the data obtained from use of these technologies is also presented here. These analyses are revealing a more comprehensive and interconnected view of the immune system than ever before and should have an important role in directing future treatment approaches for autoimmune diseases.

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Authors
Maecker, H. T., Lindstrom, T. M., Robinson, W. H., Utz, P. J., Hale, M., Boyd, S. D., Shen-Orr, S. S., & Fathman, C. G.
Affiliations
  • Stanford Medicine (US)
  • Technion – Israel Institute of Technology (IL)
Corresponding author
Fathman, C. Garrison
Venue
Nature Reviews Rheumatology
Published
2012-05-31
Volume
8
Issue
6
Pages
317-328
ISSN
  • 1759-4790 (ISSN-L)
  • 1759-4804
OpenAlex
W2138211617
Cited by
95
References
96
Citations by year
2026: 1 · 2025: 6 · 2024: 4 · 2023: 2 · 2022: 3 · 2021: 6 · 2020: 1 · 2019: 7 · 2018: 10 · 2017: 8 · 2016: 8 · 2015: 10 · 2014: 10 · 2013: 17 · 2012: 2
FWCI
1.86
Type
journal article
Language
en
Open access
Locations
  • Nature Reviews Rheumatology (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute of Allergy and Infectious Diseases (U19AI090019)
  • National Institute of Arthritis and Musculoskeletal and Skin Diseases (RC1AR058713)
Topics
  • Health Sciences › Medicine › Rheumatology › Rheumatoid Arthritis Research and Therapies
  • Health Sciences › Medicine › Rheumatology › Systemic Lupus Erythematosus Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced Biosensing Techniques and Applications
Keywords
autoimmune disease, disease classification, disease surveillance, actionable biomarkers, mass cytometry, protein microarrays, T cell receptor sequencing, disease phenotyping, diagnostic accuracy, treatment selection
MeSH terms
Autoimmune Diseases, Flow Cytometry, Humans, Immunoassay, Immunoglobulins, Monitoring, Physiologic, Prognosis, Receptors, Antigen, T-Cell, Mass Spectrometry, Biomarkers, Immunophenotyping, Sequence Analysis, DNA, Protein Array Analysis, High-Throughput Nucleotide Sequencing

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