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

doi:10.1016/j.dib.2016.08.050

Multivariate data validation for investigating primary HCMV infection in pregnancy

Data Brief. 2016 Aug 31:9:220-30. doi: 10.1016/j.dib.2016.08.050. eCollection 2016 Dec.

Authors

Luigi Barberini¹, Antonio Noto², Luca Saba³, Francesco Palmas⁴, Vassilios Fanos², Angelica Dessì², Maurizio Zavattoni⁵, Claudia Fattuoni⁴, Michele Mussap⁶

Affiliations

¹ Department of Public Health Clinical and Molecular Medicine, University of Cagliari, Cagliari I-09042, Italy.
² Department of Surgical Sciences, University of Cagliari and Neonatal Intensive Care Unit, Puericulture Institute and Neonatal Section, Azienda Ospedaliera Universitaria, Cagliari I-09042, Italy.
³ Department of Radiology, AOU University-Hospital, Cagliari I-09042, Italy.
⁴ Department of Chemical and Geological Sciences, University of Cagliari, I-09042 Italy.
⁵ Molecular Virology Unit, Microbiology and Virology Department, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo, Pavia, Italy.
⁶ Laboratory Medicine Service, IRCCS AOU San Martino-IST, University-Hospital, National Institute for Cancer Research, Genoa, Italy.

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.

Keywords: Amniotic fluid; Cross validation performance; Cytomegalovirus; Metabolomics; Multivariate statistical approach; Partial; Pregnancy; least square discriminant (PLS-DA) analysis.