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   <dc:title>1H-NMR Urinary Metabolic Profile, A Promising Tool for the Management of Infants with Human Cytomegalovirus-Infection</dc:title>
   <dc:creator>Frick, Marie Antoinette</dc:creator>
   <dc:creator>Barba, Ignasi</dc:creator>
   <dc:creator>Fenoy-Alejandre, Marina</dc:creator>
   <dc:creator>López-López, Paula</dc:creator>
   <dc:creator>Baquero Artigao, Fernando</dc:creator>
   <dc:creator>Rodríguez-Molino, Paula</dc:creator>
   <dc:creator>Noguera Julian, Antoni</dc:creator>
   <dc:creator>Nicolás-López, Marta</dc:creator>
   <dc:creator>de la Fuente-Juárez, Asunción</dc:creator>
   <dc:creator>Codina Grau, Maria Gemma</dc:creator>
   <dc:creator>Esperalba Esquerra, Juliana</dc:creator>
   <dc:creator>Linde-Sillo, Ángeles</dc:creator>
   <dc:creator>Soler Palacín, Pere</dc:creator>
   <dc:subject>Infeccions per citomegalovirus</dc:subject>
   <dc:subject>Pediatria</dc:subject>
   <dc:subject>Metabolòmica</dc:subject>
   <dc:subject>Cytomegalovirus infections</dc:subject>
   <dc:subject>Pediatrics</dc:subject>
   <dc:subject>Metabolomics</dc:subject>
   <dc:description>Abstract: 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 &lt; 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.</dc:description>
   <dc:date>2020-06-11T21:32:33Z</dc:date>
   <dc:date>2020-06-11T21:32:33Z</dc:date>
   <dc:date>2019-11-15</dc:date>
   <dc:date>2020-06-11T21:32:33Z</dc:date>
   <dc:type>info:eu-repo/semantics/article</dc:type>
   <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
   <dc:identifier>2218-1989</dc:identifier>
   <dc:identifier>https://hdl.handle.net/2445/165232</dc:identifier>
   <dc:identifier>693744</dc:identifier>
   <dc:identifier>31775291</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>Reproducció del document publicat a: https://doi.org/10.3390/metabo9120288</dc:relation>
   <dc:relation>Metabolites, 2019, vol. 9, p. 288</dc:relation>
   <dc:relation>https://doi.org/10.3390/metabo9120288</dc:relation>
   <dc:rights>cc-by (c) Frick, Marie Antoinette et al., 2019</dc:rights>
   <dc:rights>http://creativecommons.org/licenses/by/3.0/es</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:format>14 p.</dc:format>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>MDPI</dc:publisher>
   <dc:source>Articles publicats en revistes (Cirurgia i Especialitats Medicoquirúrgiques)</dc:source>
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