Since pathologies and complications occurring during pregnancy and/or during labour may cause adverse outcomes for both newborns and mothers, there is a growing interest in metabolomic applications on pregnancy investigation. In fact, metabolomics has proved to be an efficient strategy for the description of several perinatal conditions. In particular, this study focuses on premature rupture of membranes (PROM) in pregnancy at term. For this project, urine samples were collected at three different clinical conditions: out of labour before PROM occurrence (Ph1), out of labour with PROM (Ph2), and during labour with PROM (Ph3). GC-MS analysis, followed by univariate and multivariate statistical analysis, was able to discriminate among the different classes, highlighting the metabolites most involved in the discrimination.

PROM and labour effects on urinary metabolome: a pilot study

Francesco Palmas
Co-primo
;
Luigi Barberini
Secondo
;
MEREU, ROSSELLA;DEIANA, SARA FRANCESCA;FAIS, MARIA FRANCESCA;Antonio Noto;Claudia Fattuoni
;
Angelica Dessì;Roberta Pintus;Vassilios Fanos
Penultimo
;
Gian Benedetto Melis
Ultimo
2018-01-01

Abstract

Since pathologies and complications occurring during pregnancy and/or during labour may cause adverse outcomes for both newborns and mothers, there is a growing interest in metabolomic applications on pregnancy investigation. In fact, metabolomics has proved to be an efficient strategy for the description of several perinatal conditions. In particular, this study focuses on premature rupture of membranes (PROM) in pregnancy at term. For this project, urine samples were collected at three different clinical conditions: out of labour before PROM occurrence (Ph1), out of labour with PROM (Ph2), and during labour with PROM (Ph3). GC-MS analysis, followed by univariate and multivariate statistical analysis, was able to discriminate among the different classes, highlighting the metabolites most involved in the discrimination.
PROM; Metabolomics; GC-MS
File in questo prodotto:
File Dimensione Formato  
DiseaseMarkers2018.pdf

accesso aperto

Tipologia: versione editoriale
Dimensione 1.56 MB
Formato Adobe PDF
1.56 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/236412
Citazioni
  • ???jsp.display-item.citation.pmc??? 6
  • Scopus 10
  • ???jsp.display-item.citation.isi??? 9
social impact