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Identification of Novel Biomarkers in Late Preterm Neonates with Respiratory Distress Syndrome (RDS) Using Urinary Metabolomic Analysis

Urine metabolomics is gaining traction as a means of identifying metabolic signatures associated with health and disease states. Thirty-one (31) late preterm (LP) neonates admitted to the neonatal intensive care unit (NICU) and 23 age-matched healthy LPs admitted to the maternity ward of a tertiary...

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Autores principales: Christopoulou, Irene, Kostopoulou, Eirini, Matzarapi, Konstantina, Chasapi, Styliani A., Spyroulias, Georgios A., Varvarigou, Anastasia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223367/
https://www.ncbi.nlm.nih.gov/pubmed/37233686
http://dx.doi.org/10.3390/metabo13050644
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author Christopoulou, Irene
Kostopoulou, Eirini
Matzarapi, Konstantina
Chasapi, Styliani A.
Spyroulias, Georgios A.
Varvarigou, Anastasia
author_facet Christopoulou, Irene
Kostopoulou, Eirini
Matzarapi, Konstantina
Chasapi, Styliani A.
Spyroulias, Georgios A.
Varvarigou, Anastasia
author_sort Christopoulou, Irene
collection PubMed
description Urine metabolomics is gaining traction as a means of identifying metabolic signatures associated with health and disease states. Thirty-one (31) late preterm (LP) neonates admitted to the neonatal intensive care unit (NICU) and 23 age-matched healthy LPs admitted to the maternity ward of a tertiary hospital were included in the study. Proton nuclear magnetic resonance ((1)H NMR) spectroscopy was employed for urine metabolomic analysis on the 1st and 3rd days of life of the neonates. The data were analyzed using univariate and multivariate statistical analysis. A unique metabolic pattern of enhanced metabolites was identified in the NICU-admitted LPs from the 1st day of life. Metabolic profiles were distinct in LPs presenting with respiratory distress syndrome (RDS). The discrepancies likely reflect differences in the gut microbiota, either due to variations in nutrient intake or as a result of medical interventions, such as the administration of antibiotics and other medications. Altered metabolites could potentially serve as biomarkers for identifying critically ill LP neonates or those at high risk for adverse outcomes later in life, including metabolic risks. The discovery of novel biomarkers may uncover potential targets for drug discovery and optimal periods for effective intervention, offering a personalized approach.
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spelling pubmed-102233672023-05-28 Identification of Novel Biomarkers in Late Preterm Neonates with Respiratory Distress Syndrome (RDS) Using Urinary Metabolomic Analysis Christopoulou, Irene Kostopoulou, Eirini Matzarapi, Konstantina Chasapi, Styliani A. Spyroulias, Georgios A. Varvarigou, Anastasia Metabolites Article Urine metabolomics is gaining traction as a means of identifying metabolic signatures associated with health and disease states. Thirty-one (31) late preterm (LP) neonates admitted to the neonatal intensive care unit (NICU) and 23 age-matched healthy LPs admitted to the maternity ward of a tertiary hospital were included in the study. Proton nuclear magnetic resonance ((1)H NMR) spectroscopy was employed for urine metabolomic analysis on the 1st and 3rd days of life of the neonates. The data were analyzed using univariate and multivariate statistical analysis. A unique metabolic pattern of enhanced metabolites was identified in the NICU-admitted LPs from the 1st day of life. Metabolic profiles were distinct in LPs presenting with respiratory distress syndrome (RDS). The discrepancies likely reflect differences in the gut microbiota, either due to variations in nutrient intake or as a result of medical interventions, such as the administration of antibiotics and other medications. Altered metabolites could potentially serve as biomarkers for identifying critically ill LP neonates or those at high risk for adverse outcomes later in life, including metabolic risks. The discovery of novel biomarkers may uncover potential targets for drug discovery and optimal periods for effective intervention, offering a personalized approach. MDPI 2023-05-09 /pmc/articles/PMC10223367/ /pubmed/37233686 http://dx.doi.org/10.3390/metabo13050644 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Christopoulou, Irene
Kostopoulou, Eirini
Matzarapi, Konstantina
Chasapi, Styliani A.
Spyroulias, Georgios A.
Varvarigou, Anastasia
Identification of Novel Biomarkers in Late Preterm Neonates with Respiratory Distress Syndrome (RDS) Using Urinary Metabolomic Analysis
title Identification of Novel Biomarkers in Late Preterm Neonates with Respiratory Distress Syndrome (RDS) Using Urinary Metabolomic Analysis
title_full Identification of Novel Biomarkers in Late Preterm Neonates with Respiratory Distress Syndrome (RDS) Using Urinary Metabolomic Analysis
title_fullStr Identification of Novel Biomarkers in Late Preterm Neonates with Respiratory Distress Syndrome (RDS) Using Urinary Metabolomic Analysis
title_full_unstemmed Identification of Novel Biomarkers in Late Preterm Neonates with Respiratory Distress Syndrome (RDS) Using Urinary Metabolomic Analysis
title_short Identification of Novel Biomarkers in Late Preterm Neonates with Respiratory Distress Syndrome (RDS) Using Urinary Metabolomic Analysis
title_sort identification of novel biomarkers in late preterm neonates with respiratory distress syndrome (rds) using urinary metabolomic analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223367/
https://www.ncbi.nlm.nih.gov/pubmed/37233686
http://dx.doi.org/10.3390/metabo13050644
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