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Title: | 1H-NMR Urinary Metabolic Profile, A Promising Tool for the Management of Infants with Human Cytomegalovirus-Infection |
Author: | Frick, Marie Antoinette Barba, Ignasi Fenoy-Alejandre, Marina López-López, Paula Baquero Artigao, Fernando Rodríguez-Molino, Paula Noguera Julian, Antoni Nicolás-López, Marta de la Fuente-Juárez, Asunción Codina Grau, Maria Gemma Esperalba Esquerra, Juliana Linde-Sillo, Ángeles Soler Palacín, Pere |
Keywords: | Infeccions per citomegalovirus Pediatria Metabolòmica Cytomegalovirus infections Pediatrics Metabolomics |
Issue Date: | 15-Nov-2019 |
Publisher: | MDPI |
Abstract: | 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 < 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. |
Note: | Reproducció del document publicat a: https://doi.org/10.3390/metabo9120288 |
It is part of: | Metabolites, 2019, vol. 9, p. 288 |
URI: | http://hdl.handle.net/2445/165232 |
Related resource: | https://doi.org/10.3390/metabo9120288 |
ISSN: | 2218-1989 |
Appears in Collections: | Articles publicats en revistes (Cirurgia i Especialitats Medicoquirúrgiques) |
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