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JMD 2007, Vol. 9, No. 2
Copyright © 2007 American Society for Investigative Pathology & Association for Molecular Pathology

Identification of Molecular Biomarkers for Multiple Sclerosis

Sallyanne C. Fossey*, Cindy L. Vnencak-Jones*{dagger}, Nancy J. Olsen{ddagger}, Subramaniam Sriram§, Gladys Garrison*, Xenquing Deng§, Philip S. Crooke, III and Thomas M. Aune||**

From the Departments of Pathology, * Pediatrics, {dagger} Microbiology and Immunology, ** and Mathematics, the Department of Neurology, § Division of Neuroimmunology, and the Department of Medicine, || Division of Rheumatology and Immunology, Vanderbilt University School of Medicine, Nashville, Tennessee; and the Department of Internal Medicine, {ddagger} Division of Rheumatic Diseases, University of Texas Southwestern Medical Center, Dallas, Texas

Multiple sclerosis is a demyelinating disease of the central nervous system with a presumed autoimmune etiology. Previous microarray analyses identified conserved gene expression signatures in peripheral blood mononuclear cells of patients with autoimmune diseases. We used quantitative real-time polymerase chain reaction analysis to identify a minimum number of genes of which transcript levels discriminated multiple sclerosis patients from patients with other chronic diseases and from controls. We used a computer program to search quantitative transcript levels to identify optimum ratios that distinguished among the different categories. A combination of a 4-ratio equation using expression levels of five genes segregated the multiple sclerosis cohort (n = 55) from the control cohort (n = 49) with a sensitivity of 91% and specificity of 98%. When autoimmune and other chronic disease groups were included (n = 78), this discriminator still performed with a sensitivity of 79% and a specificity of 87%. This approach may have diagnostic utility not only for multiple sclerosis but also for other clinically complex autoimmune diseases.






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Copyright © 2007 by the American Society for Investigative Pathology and the Association for Molecular Pathology.