BACKGROUND: Sero-epidemiological studies have demonstrated the association between multiple sclerosis (MS) and prior Epstein-Barr virus (EBV) infection. It has been hypothesized that intermittent peripheral EBV reactivation may drive continuing central inflammation. Recent investigation has shown significant differences in median serum levels of anti-EBV nuclear antigen-1 (EBNA-1) IgG between disease subgroups and positive correlation with disease activity reflected by number of Gd-enhancing lesions and T2 lesion volume. These important data have led to hopes that anti-EBNA-1 IgG may be useful as an easily accessible and effective biomarker of disease activity. METHODS: We examined the applicability of these findings in routine clinical practice, assessing a well-characterized cohort of 100 subjects (25 primary progressive, 25 stable relapsing remitting, 25 active relapsing remitting seen in acute relapse and 25 controls) for serum anti-EBNA-1 IgG using both the Liaison quantitative chemiluminescent assay and Biotest ELISA. RESULTS: We were unable to show a difference in quantitative analysis of serum anti-EBNA-1 IgG levels between disease subgroups and no correlation with phenotypic characteristics including age at onset (r = -0.17, P = 0.16), disease duration (r = 0.03, P = 0.78), EDSS (r = 0.03, P = 0.78) or MSSS (r = 0.02, P = 0.9). In addition, there was only moderate correlation between the two test methods used (intraclass correlation coefficient 0.67; 0.56-0.78) suggesting potential problems with test interpretation. CONCLUSIONS: We have been unable to determine a clinical value for serum anti-EBNA-1 IgG levels in MS or to confirm reported association with disease course and clinical disease activity.
BACKGROUND: Sero-epidemiological studies have demonstrated the association between multiple sclerosis (MS) and prior Epstein-Barr virus (EBV) infection. It has been hypothesized that intermittent peripheral EBV reactivation may drive continuing central inflammation. Recent investigation has shown significant differences in median serum levels of anti-EBV nuclear antigen-1 (EBNA-1) IgG between disease subgroups and positive correlation with disease activity reflected by number of Gd-enhancing lesions and T2 lesion volume. These important data have led to hopes that anti-EBNA-1 IgG may be useful as an easily accessible and effective biomarker of disease activity. METHODS: We examined the applicability of these findings in routine clinical practice, assessing a well-characterized cohort of 100 subjects (25 primary progressive, 25 stable relapsing remitting, 25 active relapsing remitting seen in acute relapse and 25 controls) for serum anti-EBNA-1 IgG using both the Liaison quantitative chemiluminescent assay and Biotest ELISA. RESULTS: We were unable to show a difference in quantitative analysis of serum anti-EBNA-1 IgG levels between disease subgroups and no correlation with phenotypic characteristics including age at onset (r = -0.17, P = 0.16), disease duration (r = 0.03, P = 0.78), EDSS (r = 0.03, P = 0.78) or MSSS (r = 0.02, P = 0.9). In addition, there was only moderate correlation between the two test methods used (intraclass correlation coefficient 0.67; 0.56-0.78) suggesting potential problems with test interpretation. CONCLUSIONS: We have been unable to determine a clinical value for serum anti-EBNA-1 IgG levels in MS or to confirm reported association with disease course and clinical disease activity.
Authors: Kassandra L Munger; Kathryn C Fitzgerald; Mark S Freedman; Hans-Peter Hartung; David H Miller; Xavier Montalbán; Gilles Edan; Frederik Barkhof; Gustavo Suarez; Ernst-Wilhelm Radue; Rupert Sandbrink; Ludwig Kappos; Christoph Pohl; Alberto Ascherio Journal: Neurology Date: 2015-10-09 Impact factor: 9.910
Authors: René M Gieß; Catherina Pfuhl; Janina R Behrens; Ludwig Rasche; Erik Freitag; Nima Khalighy; Carolin Otto; Jens Wuerfel; Alexander U Brandt; Jörg Hofmann; Bettina Eberspächer; Judith Bellmann-Strobl; Friedemann Paul; Klemens Ruprecht Journal: PLoS One Date: 2017-04-07 Impact factor: 3.240
Authors: Dana Horakova; Robert Zivadinov; Bianca Weinstock-Guttman; Eva Havrdova; Jun Qu; Miriam Tamaño-Blanco; Darlene Badgett; Michaela Tyblova; Niels Bergsland; Sara Hussein; Laura Willis; Jan Krasensky; Manuela Vaneckova; Zdenek Seidl; Petra Lelkova; Michael G Dwyer; Ming Zhang; Haoying Yu; Xiaotao Duan; Tomas Kalincik; Murali Ramanathan Journal: PLoS One Date: 2013-01-08 Impact factor: 3.240