Analytical and Bioanalytical Chemistry

, Volume 407, Issue 17, pp 4973–4993 | Cite as

Optimizing the lipidomics workflow for clinical studies—practical considerations

  • Tuulia HyötyläinenEmail author
  • Matej Orešič
Part of the following topical collections:
  1. Lipidomics


Lipidomics is increasingly being used in clinical research, offering new opportunities for disease prediction and detection. One of the key challenges of clinical applications of lipidomics is the high sensitivity of measured lipid levels to many analytical, physiological, and environmental factors, which therefore must be taken into account when designing the studies. Here we critically discuss the complete clinical lipidomics workflow, including selection of the subjects, the sample type, the sample preprocessing conditions, and the analytical method and methods for data processing. We also review the lipidomics applications which investigate the confounding factors such as age, gender, fasting time, and handling procedures for measuring blood lipid metabolites.


Biomarkers Lipidomics Mass spectrometry Metabolomics Systems biology Systems medicine 



This work was supported by the Academy of Finland (Centre of Excellence in Molecular Systems Immunology and Physiology Research 2012-2017, Decision No. 250114) and the EU FP7 project DEXLIFE (grant agreement no. 279228).


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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Steno Diabetes CenterGentofteDenmark
  2. 2.Turku Centre for BiotechnologyUniversity of Turku and Åbo Akademi UniversityTurkuFinland

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