Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
Genes Immun. 2012 Feb;13(2):146-54. doi: 10.1038/gene.2011.66. Epub 2011 Sep 22.

Gene-expression signatures: biomarkers toward diagnosing multiple sclerosis.

Author information

  • 1Research Department, ArthroChip, LLC, Franklin, TN, USA.

Abstract

Identification of biomarkers contributing to disease diagnosis, classification or prognosis could be of considerable utility. For example, primary methods to diagnose multiple sclerosis (MS) include magnetic resonance imaging and detection of immunological abnormalities in cerebrospinal fluid. We determined whether gene-expression differences in blood discriminated MS subjects from comparator groups, and identified panels of ratios that performed with varying degrees of accuracy depending upon complexity of comparator groups. High levels of overall accuracy were achieved by comparing MS with homogeneous comparator groups. Overall accuracy was compromised when MS was compared with a heterogeneous comparator group. Results, validated in independent cohorts, indicate that gene-expression differences in blood accurately exclude or include a diagnosis of MS and suggest that these approaches may provide clinically useful prediction of MS.

PMID:
21938015
[PubMed - indexed for MEDLINE]
PMCID:
PMC3291793
Free PMC Article

Images from this publication.See all images (7)Free text

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Icon for Nature Publishing Group Icon for PubMed Central
    Loading ...
    Write to the Help Desk