Multivariate data validation for investigating primary HCMV infection in pregnancy

被引:19
作者
Barberini, Luigi [1 ]
Noto, Antonio [2 ,3 ,4 ]
Saba, Luca [5 ]
Palmas, Francesco [6 ]
Fanos, Vassilios [2 ,3 ,4 ]
Dessi, Angelica [2 ,3 ,4 ]
Zavattoni, Maurizio [7 ]
Fattuoni, Claudia [6 ]
Mussap, Michele [8 ]
机构
[1] Univ Cagliari, Dept Publ Hlth Clin & Mol Med, I-09042 Cagliari, Italy
[2] Univ Cagliari, Dept Surg Sci, I-09042 Cagliari, Italy
[3] Azienda Osped Univ, Neonatal Intens Care Unit, Inst Puericulture, I-09042 Cagliari, Italy
[4] Azienda Osped Univ, Neonatal Sect, I-09042 Cagliari, Italy
[5] AOU Univ Hosp, Dept Radiol, I-09042 Cagliari, Italy
[6] Univ Cagliari, Dept Chem & Geol Sci, I-09042 Cagliari, Italy
[7] Fdn Ist Ricovero & Cura Carattere Sci IRCCS Polic, Microbiol & Virol Dept, Mol Virol Unit, Pavia, Italy
[8] Univ Hosp, IRCCS AOU San Martino IST, Natl Inst Canc Res, Lab Med Serv, Genoa, Italy
关键词
Metabolomics; Cytomegalovirus; Amniotic fluid; Pregnancy; Multivariate statistical approach; Cross validation performance; Partial least square discriminant (PLS-DA) analysis;
D O I
10.1016/j.dib.2016.08.050
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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. (C) 2016 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/40).
引用
收藏
页码:220 / 230
页数:11
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