1. 1H-NMR Urinary Metabolic Profile, A Promising Tool for the Management of Infants with Human Cytomegalovirus-Infection
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Marta Nicolás-López, Marina Fenoy-Alejandre, Asunción de la Fuente-Juárez, Ignasi Barba, Pere Soler-Palacín, Marie Antoinette Frick, Paula López-López, Juliana Esperalba Esquerra, Maria Gemma Codina-Grau, Ángeles Linde-Sillo, Paula Rodríguez-Molino, Fernando Baquero-Artigao, Antoni Noguera-Julian, Institut Català de la Salut, [Frick MA, Soler-Palacín P] Malalties infeccioses i immunologia pediàtrica, Servei de Pediatria, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Red de Investigación Translacional en Infectología Pediátrica (RITIP), 28046 Madrid, Spain. [Barba I] Malalties Cardiovasculars, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Vall d’Hebron Hospital Universitari, Barcelona, Spain. Centro de Investigación Biomédica en Red sobre Enfermedades Cardiovasculares (CIBER-CV), 28029 Madrid, Spain. [Fenoy-Alejandre M] Malalties Infeccioses i Immunologia Pediàtrica, Servei de Pediatria, Vall d’Hebron Hospital Universitari, Barcelona, Spain. [López-López P] Malalties Cardiovasculars, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. [Baquero-Artigao F] Red de Investigación Translacional en Infectología Pediátrica (RITIP), 28046 Madrid, Spain. Pediatrics Infectious Diseases Unit, Pediatrics Department, Hospital University La Paz, 28046 Madrid. [Rodríguez-Molino P] Pediatrics Infectious Diseases Unit, Pediatrics Department, Hospital University La Paz, 28046 Madrid. [Codina-Grau MG, Esperalba Esquerra J] Servei de Microbiologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain. [Linde-Sillo Á] Servei de Neonatologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain, and Vall d'Hebron Barcelona Hospital Campus
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0301 basic medicine ,Human cytomegalovirus ,medicine.medical_specialty ,Infeccions per citomegalovirus ,pediatrics ,Endocrinology, Diabetes and Metabolism ,Urinary system ,Physiology ,Other subheadings::Other subheadings::/congenital [Other subheadings] ,Urine ,Pediatrics ,Biochemistry ,Article ,03 medical and health sciences ,0302 clinical medicine ,Metabolomics ,030225 pediatrics ,Acute care ,medicine ,Metabolome ,Molecular Biology ,Cytomegalovirus infections ,Pediatria ,Otros calificadores::Otros calificadores::/congénito [Otros calificadores] ,business.industry ,1H-NMR ,metabolic profiling ,personas::Grupos de Edad::lactante::recién nacido [DENOMINACIONES DE GRUPOS] ,Gestational age ,Persons::Age Groups::Infant::Infant, Newborn [NAMED GROUPS] ,medicine.disease ,metabolomics ,virosis::infecciones por virus ADN::infecciones por Herpesviridae::infecciones por Citomegalovirus [ENFERMEDADES] ,congenital infection ,030104 developmental biology ,Metabolòmica ,human cytomegalovirus ,Nodrissons ,Malalties congènites ,Virus Diseases::DNA Virus Infections::Herpesviridae Infections::Cytomegalovirus Infections [DISEASES] ,business ,Metabolic profile - 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.
- Published
- 2019
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