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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.

SUBMITTER: Barberini L 

PROVIDER: S-EPMC5021794 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

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Multivariate data validation for investigating primary HCMV infection in pregnancy.

Barberini Luigi L   Noto Antonio A   Saba Luca L   Palmas Francesco F   Fanos Vassilios V   Dessì Angelica A   Zavattoni Maurizio M   Fattuoni Claudia C   Mussap Michele M  

Data in brief 20160831


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  ...[more]

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