Frick, Marie AntoinetteBarba, IgnasiFenoy-Alejandre, MarinaLópez-López, PaulaBaquero Artigao, FernandoRodríguez-Molino, PaulaNoguera Julian, AntoniNicolás-López, Martade la Fuente-Juárez, AsunciónCodina Grau, Maria GemmaEsperalba Esquerra, JulianaLinde-Sillo, ÁngelesSoler Palacín, Pere2020-06-112020-06-112019-11-152218-1989https://hdl.handle.net/2445/165232Abstract: Congenital human cytomegalovirus (HCMV) infection is the most common mother-to-child transmitted infection in the developed world. Certain aspects of its management remain a challenge. Urinary metabolic profiling is a promising tool for use in pediatric conditions. The aim of this study was to investigate the urinary metabolic profile in HCMV-infected infants and controls during acute care hospitalization. Urine samples were collected from 53 patients at five hospitals participating in the Spanish congenital HCMV registry. Thirty-one cases of HCMV infection and 22 uninfected controls were included. Proton nuclear magnetic resonance (1H-NMR) spectra were obtained using NOESYPR1D pulse sequence. The dataset underwent orthogonal projection on latent structures discriminant analysis to identify candidate variables affecting the urinary metabolome: HCMV infection, type of infection, sex, chronological age, gestational age, type of delivery, twins, and diet. Statistically significant discriminative models were obtained only for HCMV infection (p = 0.03) and chronological age (p < 0.01). No significant differences in the metabolomic profile were found between congenital and postnatal HCMV infection. When the HCMV-infected group was analyzed according to chronological age, a statistically significant model was obtained only in the neonatal group (p = 0.01), with the differentiating metabolites being betaine, glycine, alanine, and dimethylamine. Despite the considerable variation in urinary metabolic profiles in a real-life setting, clinical application of metabolomics to the study of HCMV infection seems feasible.14 p.application/pdfengcc-by (c) Frick, Marie Antoinette et al., 2019http://creativecommons.org/licenses/by/3.0/esInfeccions per citomegalovirusPediatriaMetabolòmicaCytomegalovirus infectionsPediatricsMetabolomics1H-NMR Urinary Metabolic Profile, A Promising Tool for the Management of Infants with Human Cytomegalovirus-Infectioninfo:eu-repo/semantics/article6937442020-06-11info:eu-repo/semantics/openAccess31775291