Multivariate data validation for investigating primary HCMV infection in pregnancy
Luigi Barberini,
Antonio Noto,
Luca Saba,
Francesco Palmas,
Vassilios Fanos,
Angelica Dessì,
Maurizio Zavattoni,
Claudia Fattuoni,
Michele Mussap
Affiliations
Luigi Barberini
Department of Public Health Clinical and Molecular Medicine, University of Cagliari, Cagliari I-09042, Italy
Antonio Noto
Department of Surgical Sciences, University of Cagliari and Neonatal Intensive Care Unit, Puericulture Institute and Neonatal Section, Azienda Ospedaliera Universitaria, Cagliari I-09042, Italy
Luca Saba
Department of Radiology, AOU University-Hospital, Cagliari I-09042, Italy
Francesco Palmas
Department of Chemical and Geological Sciences, University of Cagliari, I-09042 Italy
Vassilios Fanos
Department of Surgical Sciences, University of Cagliari and Neonatal Intensive Care Unit, Puericulture Institute and Neonatal Section, Azienda Ospedaliera Universitaria, Cagliari I-09042, Italy
Angelica Dessì
Department of Surgical Sciences, University of Cagliari and Neonatal Intensive Care Unit, Puericulture Institute and Neonatal Section, Azienda Ospedaliera Universitaria, Cagliari I-09042, Italy
Maurizio Zavattoni
Molecular Virology Unit, Microbiology and Virology Department, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo, Pavia, Italy
Claudia Fattuoni
Department of Chemical and Geological Sciences, University of Cagliari, I-09042 Italy
Michele Mussap
Laboratory Medicine Service, IRCCS AOU San Martino-IST, University-Hospital, National Institute for Cancer Research, Genoa, Italy
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.
