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Open AccessArticle

1H-NMR Urinary Metabolic Profile, A Promising Tool for the Management of Infants with Human Cytomegalovirus-Infection

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Red de Investigación Translacional en Infectología Pediátrica (RITIP), 28046 Madrid, Spain
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Cardiovascular Diseases, Vall d’Hebron Research Institute, Vall d’Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
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Centro de Investigación Biomédica en Red sobre Enfermedades Cardiovasculares (CIBER-CV), 28029 Madrid, Spain
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Pediatrics Infectious Diseases Unit, Pediatrics Department, Hospital University La Paz, 28046 Madrid, Spain
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Infectious Diseases and Systemic Inflammatory Response in Pediatrics, Infectious Diseases Unit, Pediatrics Department, Hospital Sant Joan de Déu, 08950 Barcelona, Spain
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Hospital Sant Joan de Déu Pediatric Research Institute, University of Barcelona, 08950 Barcelona, Spain
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CIBER de Epidemiología y Salud Pública, CIBERESP, 28029 Madrid, Spain
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Pediatrics Department, Hospital Terrassa, C/Torrebonica, 08227 Barcelona, Spain
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Pediatrics Department, Hospital Quirónsalud Barcelona, 08023 Barcelona, Spain
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Microbiology Department, Vall d’Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
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Neonatology Department, Vall d’Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
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Author to whom correspondence should be addressed.
Metabolites 2019, 9(12), 288; https://doi.org/10.3390/metabo9120288
Received: 9 October 2019 / Revised: 14 November 2019 / Accepted: 23 November 2019 / Published: 25 November 2019
(This article belongs to the Special Issue Applications of Metabolomics in Maternal and Child Health)
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. View Full-Text
Keywords: human cytomegalovirus; congenital infection; pediatrics; metabolomics; 1H-NMR; metabolic profiling human cytomegalovirus; congenital infection; pediatrics; metabolomics; 1H-NMR; metabolic profiling
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Frick, M.A.; Barba, I.; Fenoy-Alejandre, M.; López-López, P.; Baquero-Artigao, F.; Rodríguez-Molino, P.; Noguera-Julian, A.; Nicolás-López, M.; de la Fuente-Juárez, A.; Codina-Grau, M.G.; Esperalba Esquerra, J.; Linde-Sillo, Á.; Soler-Palacín, P. 1H-NMR Urinary Metabolic Profile, A Promising Tool for the Management of Infants with Human Cytomegalovirus-Infection. Metabolites 2019, 9, 288.

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