Journal article
Identification of new biomarkers of bronchopulmonary dysplasia using metabolomics
Metabolomics, v 15(2), pp 20-11
02 Feb 2019
PMID: 30830433
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
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.
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Details
- Title
- Identification of new biomarkers of bronchopulmonary dysplasia using metabolomics
- Creators
- Fiammetta Piersigilli - Bambino Gesù Children's HospitalTuKiet T Lam - Yale UniversityPamela Vernocchi - Bambino Gesù Children's HospitalAndrea Quagliariello - Bambino Gesù Children's HospitalLorenza Putignani - Bambino Gesù Children's HospitalZubair H Aghai - Thomas Jefferson UniversityVineet Bhandari - Yale University
- Publication Details
- Metabolomics, v 15(2), pp 20-11
- Publisher
- Springer Nature
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Pediatrics
- Web of Science ID
- WOS:000457594200001
- Scopus ID
- 2-s2.0-85060942932
- Other Identifier
- 991019167655404721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Endocrinology & Metabolism