Urine Metabolomics in Neonates with Late-onset Sepsis in a Case-control Study
Authors
Affiliations
Although late-onset sepsis (LOS) is a major cause of neonatal morbidity and mortality, biomarkers evaluated in LOS lack high diagnostic accuracy. In this prospective, case-control, pilot study, we aimed to determine the metabolic profile of neonates with LOS. Urine samples were collected at the day of initial LOS evaluation, the 3 and 10 day, thereafter, from 16 septic neonates (9 confirmed and 7 possible LOS cases) and 16 non-septic ones (controls) at respective time points. Urine metabolic profiles were assessed using non-targeted nuclear magnetic resonance spectroscopy and targeted liquid chromatography-tandem mass spectrometry analysis. Multivariate statistical models with data from either analytical approach showed clear separation between the metabolic profiles of septic neonates (both possible and confirmed) and the controls. Metabolic changes appeared to be related to disease progression. Overall, neonates with confirmed or possible LOS exhibited comparable metabolic profiles indicating similar metabolic alternations upon the onset of clinical manifestations. This methodology therefore enabled the discrimination of neonates with LOS from non-septic individuals, providing potential for further research toward the discovery of LOS-related biomarkers.
Bian Z, Zha X, Chen Y, Chen X, Yin Z, Xu M Front Cell Dev Biol. 2024; 12:1491065.
PMID: 39498415 PMC: 11532037. DOI: 10.3389/fcell.2024.1491065.
Intestinal metabolomics in premature infants with late-onset sepsis.
Liu J, Zhang L, Li D, Yu X, Gao Y, Zhou Y Sci Rep. 2024; 14(1):4659.
PMID: 38409213 PMC: 10897474. DOI: 10.1038/s41598-024-55398-7.
New Insights in Immunometabolism in Neonatal Monocytes and Macrophages in Health and Disease.
Jong R, Tenbrock K, Ohl K Int J Mol Sci. 2023; 24(18).
PMID: 37762476 PMC: 10531550. DOI: 10.3390/ijms241814173.
Low-Field Benchtop NMR to Discover Early-Onset Sepsis: A Proof of Concept.
Stocchero M, Cannet C, Napoli C, Demetrio E, Baraldi E, Giordano G Metabolites. 2023; 13(9).
PMID: 37755309 PMC: 10535760. DOI: 10.3390/metabo13091029.
Besiri K, Begou O, Deda O, Bataka E, Nakas C, Gika H Metabolites. 2023; 13(6).
PMID: 37367866 PMC: 10304811. DOI: 10.3390/metabo13060708.