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Abstract
It is unclear whether smoking interacts with different aspects of Epstein–Barr virus (EBV) infection with regard to multiple sclerosis (MS) risk. We aimed to investigate whether smoking acts synergistically with elevated EBNA-1 antibody levels or infectious mononucleosis (IM) history regarding MS risk. Two Swedish population-based case–control studies were used (6,340 cases and 6,219 matched controls). Subjects with different smoking, EBNA-1 and IM status were compared regarding MS risk, by calculating odds ratios (OR) with 95% confidence intervals (CI) employing logistic regression. Potential interaction on the additive scale was evaluated by calculating the attributable proportion due to interaction (AP). Current and past smokers had higher EBNA-1 antibody levels than never smokers (p < 0.0001). There was an additive interaction between current smoking and high EBNA-1 antibody levels (AP 0.3, 95% CI 0.2–0.4), but not between past smoking and high EBNA-1 antibody levels (AP 0.01, 95% CI − 0.1 to 0.1), with regard to MS risk. An interaction also occurred between current smoking and IM history (AP 0.2, 95% CI 0.004–0.4), but not between past smoking and IM history (AP − 0.06, 95% CI − 0.4 to 0.3). Current smoking increases EBNA-1 antibody levels and acts synergistically with both aspects of EBV infection to increase MS risk, indicating that there is at least one pathway to disease in which both risk factors are involved.
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1 Karolinska Institutet, Department of Clinical Neuroscience, Stockholm, Sweden (GRID:grid.4714.6) (ISNI:0000 0004 1937 0626); Karolinska Institutet, Institute of Environmental Medicine, Stockholm, Sweden (GRID:grid.4714.6) (ISNI:0000 0004 1937 0626)
2 Karolinska Institutet, Institute of Environmental Medicine, Stockholm, Sweden (GRID:grid.4714.6) (ISNI:0000 0004 1937 0626); Karolinska Institutet at Karolinska University Hospital, Center for Molecular Medicine, Stockholm, Sweden (GRID:grid.24381.3c) (ISNI:0000 0000 9241 5705)
3 German Cancer Research Center (DKFZ), Heidelberg, Germany (GRID:grid.7497.d) (ISNI:0000 0004 0492 0584)