Non-targeted metabolomics and lipidomics LC-MS data from maternal plasma of 180 healthy pregnant women

Hemi Luan, Nan Meng, Ping Liu, Jin Fu, Xiaomin Chen, Weiqiao Rao, Hui Jiang, Xun Xu, Zongwei CAI*, Jun Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

Background: Metabolomics has the potential to be a powerful and sensitive approach for investigating the low molecular weight metabolite profiles present in maternal fluids and their role in pregnancy.Findings: In this Data Note, LC-MS metabolome, lipidome and carnitine profiling data were collected from 180 healthy pregnant women, representing six time points spanning all three trimesters, and providing sufficient coverage to model the progression of normal pregnancy.Conclusions: As a relatively large scale, real-world dataset with robust numbers of quality control samples, the data are expected to prove useful for algorithm optimization and development, with the potential to augment studies into abnormal pregnancy. All data and ISA-TAB format enriched metadata are available for download in the MetaboLights and GigaScience databases.

Original languageEnglish
Article number16
JournalGigaScience
Volume4
Issue number1
DOIs
Publication statusPublished - 9 Apr 2015

Scopus Subject Areas

  • Computer Science Applications
  • Health Informatics

User-Defined Keywords

  • Lipidomics
  • Maternal plasma
  • Metabolic phenotype
  • Metabolomics
  • Pregnancy

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