title: Multivariate data validation for investigating primary HCMV infection in pregnancy.
abstract: We reported data concerning the Gas Chromatography-Mass Spectrometry (GC-MS) based metabolomic analysis of amniotic fluid (AF) samples obtained from pregnant women infected with Human Cytomegalovirus (HCMV). These data support the publication "Primary HCMV Infection in Pregnancy from Classic Data towards Metabolomics: an Exploratory analysis" (C. Fattuoni, F. Palmas, A. Noto, L. Barberini, M. Mussap, et al., 2016) [2]. GC-MS and Multivariate analysis allow to recognize the molecular phenotype of HCMV infected fetuses (transmitters) and that of HCMV non-infected fetuses (non-transmitters); moreover, GC-MS and multivariate analysis allow to distinguish and to compare the molecular phenotype of these two groups with a control group consisting of AF samples obtained in HCMV non-infected pregnant women. The obtained data discriminate controls from transmitters as well as from non-transmitters; no statistically significant difference was found between transmitters and non-transmitters.
authors.affiliation: Department of Public Health Clinical and Molecular Medicine, University of Cagliari, Cagliari I-09042, Italy.
authors.forename: Luigi
authors.initials: L
authors.lastname: Barberini
authors.affiliation: Department of Surgical Sciences, University of Cagliari and Neonatal Intensive Care Unit, Puericulture Institute and Neonatal Section, Azienda Ospedaliera Universitaria, Cagliari I-09042, Italy.
authors.forename: Antonio
authors.initials: A
authors.lastname: Noto
authors.affiliation: Department of Radiology, AOU University-Hospital, Cagliari I-09042, Italy.
authors.forename: Luca
authors.initials: L
authors.lastname: Saba
authors.affiliation: Department of Chemical and Geological Sciences, University of Cagliari, I-09042 Italy.
authors.forename: Francesco
authors.initials: F
authors.lastname: Palmas
authors.affiliation: Department of Surgical Sciences, University of Cagliari and Neonatal Intensive Care Unit, Puericulture Institute and Neonatal Section, Azienda Ospedaliera Universitaria, Cagliari I-09042, Italy.
authors.forename: Vassilios
authors.initials: V
authors.lastname: Fanos
authors.affiliation: Department of Surgical Sciences, University of Cagliari and Neonatal Intensive Care Unit, Puericulture Institute and Neonatal Section, Azienda Ospedaliera Universitaria, Cagliari I-09042, Italy.
authors.forename: Angelica
authors.initials: A
authors.lastname: Dessì
authors.affiliation: Molecular Virology Unit, Microbiology and Virology Department, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo, Pavia, Italy.
authors.forename: Maurizio
authors.initials: M
authors.lastname: Zavattoni
authors.affiliation: Department of Chemical and Geological Sciences, University of Cagliari, I-09042 Italy.
authors.forename: Claudia
authors.initials: C
authors.lastname: Fattuoni
authors.affiliation: Laboratory Medicine Service, IRCCS AOU San Martino-IST, University-Hospital, National Institute for Cancer Research, Genoa, Italy.
authors.forename: Michele
authors.initials: M
authors.lastname: Mussap
keywords: Amniotic fluid; Cross validation performance; Cytomegalovirus; Metabolomics; Multivariate statistical approach; Partial; Pregnancy; least square discriminant (PLS-DA) analysis