%0 Journal Article %A Monleón, Daniel %A Talaya, Alberto %A Giménez, Estela %A Vinuesa, Víctor %A Morales, José Manuel %A Hernández-Boluda, Juan Carlos %A Pérez, Ariadna %A Piñana, José Luis %A Solano, Carlos %A Navarro, David %T Validation of a plasma metabolomics model that allows anticipation of the occurrence of cytomegalovirus DNAaemia in allogeneic stem cell transplant recipients %D 2018 %J Journal of Medical Microbiology, %V 67 %N 6 %P 814-819 %@ 1473-5644 %R https://doi.org/10.1099/jmm.0.000746 %K plasma %K allogeneic stem cell transplantation %K DNAemia %K Cytomegalovirus (CMV) %K metabolomics %I Microbiology Society, %X A plasma metabolomic model obtained by means of untargeted 1H nuclear magnetic resonance, to which taurine, choline, methylamine, total glutathione, trimethylamine N-oxide, lactate, lysine, isoleucine, total fatty acids and unsaturated fatty acids contributed, was validated for the prediction of first episodes of cytomegalovirus (CMV) DNAaemia in a cohort of 79 allogeneic stem haematopoietic stem cell transplant (allo-HSCT) recipients. The predictive success rate was nearly 65 % for patients at both low and high risk of CMV-related complications according to their baseline characteristics. Plasma metabolomics profiling shortly after engraftment (day 21 after transplantation) allowed the anticipation of the occurrence of CMV DNAaemia in 71 % of patients. Plasma metabolomics analyses may be ancillary for identifying allo-HSCT patients at the highest risk of CMV DNAaemia who may benefit from early targeted antiviral prophylaxis. %U https://www.microbiologyresearch.org/content/journal/jmm/10.1099/jmm.0.000746