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

Autor: 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
Přispěvatelé: 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, Vall d'Hebron Barcelona Hospital Campus
Rok vydání: 2019
Předmět:
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
Zdroj: Scientia
Metabolites
Dipòsit Digital de la UB
Universidad de Barcelona
r-FSJD: Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
Fundació Sant Joan de Déu
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
instname
Volume 9
Issue 12
ISSN: 2218-1989
DOI: 10.3390/metabo9120288
Popis: 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.
Databáze: OpenAIRE