New tools for classification and monitoring of autoimmune diseases
Autor: | C. Garrison Fathman, Scott D. Boyd, Matthew Hale, Tamsin M. Lindstrom, Paul J. Utz, William H. Robinson, Holden T. Maecker, Shai S. Shen-Orr |
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Rok vydání: | 2012 |
Předmět: |
Protein Array Analysis
Receptors Antigen T-Cell Immunoglobulins Computational biology Disease Cellular level Bioinformatics Mass Spectrometry Article Autoimmune Diseases Immunophenotyping Rheumatology Humans Medicine Routine clinical practice Mass cytometry Monitoring Physiologic Immunoassay business.industry High-Throughput Nucleotide Sequencing Sequence Analysis DNA Flow Cytometry Prognosis Clinical Practice Identification (biology) business Biomarkers |
Zdroj: | Nature Reviews Rheumatology. 8:317-328 |
ISSN: | 1759-4804 1759-4790 |
DOI: | 10.1038/nrrheum.2012.66 |
Popis: | 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. |
Databáze: | OpenAIRE |
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