Logo image
Identification of new biomarkers of bronchopulmonary dysplasia using metabolomics
Journal article   Open access   Peer reviewed

Identification of new biomarkers of bronchopulmonary dysplasia using metabolomics

Fiammetta Piersigilli, TuKiet T Lam, Pamela Vernocchi, Andrea Quagliariello, Lorenza Putignani, Zubair H Aghai and Vineet Bhandari
Metabolomics, v 15(2), pp 20-11
02 Feb 2019
PMID: 30830433
url
https://doi.org/10.1007/s11306-019-1482-9View
Published, Version of Record (VoR)Maybe Open Access (Publisher Bronze) Open

Abstract

Biomarkers - analysis Biomarkers - metabolism Bronchopulmonary Dysplasia - metabolism Cluster Analysis Discriminant Analysis Female Gestational Age Humans Infant, Newborn Infant, Premature - metabolism Male Mass Spectrometry - methods Metabolomics - methods Prospective Studies
To identify new biomarkers of bronchopulmonary dysplasia (BPD) in preterm neonates. Metabolomic study of prospectively collected tracheal aspirate (TA) samples from preterm neonates admitted in 2 neonatal intensive care units measured by a mass spectroscopy-based assay and analysed using partial least squares-discriminant analysis. We evaluated 160 TA samples from 68 neonates, 44 with BPD and 24 without BPD in the first week of life. A cluster of 53 metabolites was identified as characteristic of BPD, with 18 select metabolites being highly significant in the separation of BPD versus No BPD. To control for the gestational age (GA) differences, we did a sub-group analyses, and noted that the amino acids histidine, glutamic acid, citrulline, glycine and isoleucine levels were higher in neonates with BPD. In addition, acylcarnitines C16-OH and C18:1-OH were also higher in neonates who developed BPD, but especially in the most preterm infants (neonates with GA < 27 weeks). Metabolomics is a promising approach to identify novel specific biomarkers for BPD.

Metrics

10 Record Views
49 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Endocrinology & Metabolism
Logo image