Urinary 1H-NMR and GC-MS metabolomics predicts early and late onset neonatal sepsis

Vassilios Fanos, Pierluigi Caboni, Giovanni Corsello, Mauro Stronati, Diego Gazzolo, Antonio Noto, Milena Lussu, Angelica Dessì, Mario Giuffrè, Serafina Lacerenza, Francesca Serraino, Francesca Garofoli, Laura Domenica Serpero, Barbara Liori, Roberta Carboni, Luigi Atzori

Research output: Contribution to journalArticle

44 Citations (Scopus)

Abstract

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 (1H-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).

Original languageEnglish
JournalEarly Human Development
Volume90
Issue numberSUPPL.1
DOIs
Publication statusPublished - 2014

Fingerprint

Metabolomics
Gas Chromatography-Mass Spectrometry
Metabolome
Sepsis
Mycoses
Infant Mortality
Bacterial Infections
Magnetic Resonance Spectroscopy
Multivariate Analysis
Biomarkers
Newborn Infant
Pathology
Morbidity
Population
Proton Magnetic Resonance Spectroscopy
Neonatal Sepsis

Keywords

  • Metabolomics
  • Neonatal infections
  • Newborn
  • Sepsis

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health
  • Obstetrics and Gynaecology
  • Medicine(all)

Cite this

Urinary 1H-NMR and GC-MS metabolomics predicts early and late onset neonatal sepsis. / Fanos, Vassilios; Caboni, Pierluigi; Corsello, Giovanni; Stronati, Mauro; Gazzolo, Diego; Noto, Antonio; Lussu, Milena; Dessì, Angelica; Giuffrè, Mario; Lacerenza, Serafina; Serraino, Francesca; Garofoli, Francesca; Serpero, Laura Domenica; Liori, Barbara; Carboni, Roberta; Atzori, Luigi.

In: Early Human Development, Vol. 90, No. SUPPL.1, 2014.

Research output: Contribution to journalArticle

Fanos, V, Caboni, P, Corsello, G, Stronati, M, Gazzolo, D, Noto, A, Lussu, M, Dessì, A, Giuffrè, M, Lacerenza, S, Serraino, F, Garofoli, F, Serpero, LD, Liori, B, Carboni, R & Atzori, L 2014, 'Urinary 1H-NMR and GC-MS metabolomics predicts early and late onset neonatal sepsis', Early Human Development, vol. 90, no. SUPPL.1. https://doi.org/10.1016/S0378-3782(14)70024-6
Fanos, Vassilios ; Caboni, Pierluigi ; Corsello, Giovanni ; Stronati, Mauro ; Gazzolo, Diego ; Noto, Antonio ; Lussu, Milena ; Dessì, Angelica ; Giuffrè, Mario ; Lacerenza, Serafina ; Serraino, Francesca ; Garofoli, Francesca ; Serpero, Laura Domenica ; Liori, Barbara ; Carboni, Roberta ; Atzori, Luigi. / Urinary 1H-NMR and GC-MS metabolomics predicts early and late onset neonatal sepsis. In: Early Human Development. 2014 ; Vol. 90, No. SUPPL.1.
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