TY - JOUR
T1 - Urinary 1H-NMR and GC-MS metabolomics predicts early and late onset neonatal sepsis
AU - Corsello, Giovanni
AU - Giuffre, Mario
AU - Lacerenza, Serafina
AU - Garofoli, Francesca
AU - Atzori, Luigi
AU - Dessì, Angelica
AU - Noto, Antonio
AU - Liori, Barbara
AU - Carboni, Roberta
AU - Serpero, Laura Domenica
AU - Atzori, Luigi
AU - Lussu, Milena
AU - Caboni, Pierluigi
AU - Stronati, Mauro
AU - Gazzolo, Diego
AU - Fanos, Vassilios
AU - Serraino, Francesca
PY - 2014
Y1 - 2014
N2 - The purpose of this article is to study one of the most significant causes of neonatal morbidity and mortality: neonatal sepsis. This pathology is due to a bacterial or fungal infection acquired during the perinatal period. Neonatal sepsis has been categorized into two groups: early onset if it occurs within 3-6 days and late onset after 4-7 days. Due to the not-specific clinical signs, along with the inaccuracy of available biomarkers, the diagnosis is still a major challenge. In this regard, the use of a combined approach based on both nuclear magnetic resonance (H-1-NMR) and gas-chromatography-mass spectrometry (GC-MS) techniques, coupled with a multivariate statistical analysis, may help to uncover features of the disease that are still hidden. The objective of our study was to evaluate the capability of the metabolomics approach to identify a potential metabolic profile related to the neonatal septic condition. The study population included 25 neonates (15 males and 10 females): 9 (6 males and 3 females) patients had a diagnosis of sepsis and 16 were healthy controls (9 males and 7 females). This study showed a unique metabolic profile of the patients affected by sepsis compared to non-affected ones with a statistically significant difference between the two groups (p = 0.05). (C) 2014 Elsevier Ireland Ltd. All rights reserved.
AB - The purpose of this article is to study one of the most significant causes of neonatal morbidity and mortality: neonatal sepsis. This pathology is due to a bacterial or fungal infection acquired during the perinatal period. Neonatal sepsis has been categorized into two groups: early onset if it occurs within 3-6 days and late onset after 4-7 days. Due to the not-specific clinical signs, along with the inaccuracy of available biomarkers, the diagnosis is still a major challenge. In this regard, the use of a combined approach based on both nuclear magnetic resonance (H-1-NMR) and gas-chromatography-mass spectrometry (GC-MS) techniques, coupled with a multivariate statistical analysis, may help to uncover features of the disease that are still hidden. The objective of our study was to evaluate the capability of the metabolomics approach to identify a potential metabolic profile related to the neonatal septic condition. The study population included 25 neonates (15 males and 10 females): 9 (6 males and 3 females) patients had a diagnosis of sepsis and 16 were healthy controls (9 males and 7 females). This study showed a unique metabolic profile of the patients affected by sepsis compared to non-affected ones with a statistically significant difference between the two groups (p = 0.05). (C) 2014 Elsevier Ireland Ltd. All rights reserved.
UR - http://hdl.handle.net/10447/96399
M3 - Article
VL - 90
SP - S78-S83
JO - EARLY HUMAN DEVELOPMENT
JF - EARLY HUMAN DEVELOPMENT
SN - 0378-3782
ER -