Validated comprehensive metabolomics and lipidomics analysis of colon tissue and cell lines

Anal Chim Acta. 2019 Aug 20:1066:79-92. doi: 10.1016/j.aca.2019.03.020. Epub 2019 Mar 12.

Abstract

Current untargeted approaches for metabolic fingerprinting of colon tissue and cell lines lack validation of reproducibility and/or focus on a selection of metabolites as opposed to the entire metabolome. Yet, both are critical to ensure reliable results and pursue a fully holistic analysis. Therefore, we have optimized and validated a platform for analyzing the polar metabolome and lipidome of colon-derived cell and tissue samples based on a consecutive extraction of polar and apolar components. Peak areas of selected targeted analytes and the number of untargeted components were assessed. Analysis was performed using ultra-high performance liquid-chromatography (UHPLC) coupled to hybrid quadrupole-Orbitrap high-resolution mass spectrometry (HRMS). This resulted in an optimized extraction protocol using 50% methanol/ultrapure water to obtain the polar fraction followed by a dichloromethane-based lipid extraction. Using this comprehensive approach, we have detected more than 15,000 components with CV < 30% in internal quality control (IQC) samples and were able to discriminate the non-transformed (NT) and transformed (T) state in human colon tissue and cell lines based on validated OPLS-DA models (R2Y > 0.719 and Q2 > 0.674). To conclude, our validated polar metabolomics and lipidomics fingerprinting approach could be of great value to reveal gastrointestinal disease-associated biomarkers and mechanisms.

Keywords: Cancer; Colon cell lines; Colon tissue; Comprehensive metabolomics/lipidomics profiling; Q-orbitrap-high resolution mass spectrometry.

Publication types

  • Validation Study

MeSH terms

  • Animals
  • Cell Line, Tumor
  • Chromatography, High Pressure Liquid
  • Colon / chemistry*
  • Colon / metabolism
  • Humans
  • Lipids / analysis*
  • Mass Spectrometry
  • Metabolomics / standards*
  • Swine

Substances

  • Lipids