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Urinary JCV-DNA Testing during Natalizumab Treatment May Increase Accuracy of PML Risk Stratification

Authors :
Fabio Bandini
Giovanni Luigi Mancardi
Alice Laroni
Ilaria Gandoglia
Paolo Gallo
Valentina Militello
I. Martini
G. Vitello
Francesca Rinaldi
E. Capello
O. E. Varnier
Luisa Barzon
M. P. Sormani
C. G. Giacomazzi
Antonio Bertolotto
J. L. McDermott
Matteo Pizzorno
L.M.E. Grimaldi
Giorgio Palù
Antonio Uccelli
Publication Year :
2012

Abstract

The risk of progressive multifocal leukoencephalopathy (PML) in patients treated with natalizumab for multiple sclerosis (MS) is a serious concern. The presence of anti-JC virus antibodies is a risk factor for PML development, but 2.5 % of the patients result falsely-negative, while the prognostic relevance of testing JCV-DNA in biological fluids of treated patients is debated. Aim of this work was to evaluate the utility of testing JCV-DNA, together with anti-JCV antibodies, in biological samples of treated patients as a tool for PML risk stratification. 126 subjects from 5 MS Centers in Italy were included in the study. We performed a cross-sectional study in 63 patients testing JCV-DNA in blood, peripheral blood cells and urine. We longitudinally assessed the presence of JCV-DNA in a cohort of 33 subjects, one of which developed PML. We could test retrospectively serum samples from another PML case occurred during natalizumab therapy. Anti-JCV antibodies and urinary JCV-DNA were both tested in 73 patients. No changes in JCV-DNA status occurred during natalizumab treatment. The subject who developed PML in the longitudinal cohort had detectable JCV-DNA in urine at all time-points while serum or blood from both PML patients were always negative before the onset of disease and, in one case, after. Four subjects with JCV-DNA in urine and undetectable anti-JCV antibodies were retested for anti-JCV antibodies and three out of four resulted positive. In conclusion, testing JCV-DNA in urine is complementary to testing anti-JCV antibodies in identifying patients at risk of PML.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....384d850caacee70b39c1466c1a0c9865