Literature DB >> 30256116

Comprehensive and Reproducible Untargeted Lipidomic Workflow Using LC-QTOF Validated for Human Plasma Analysis.

Anik Forest1, Matthieu Ruiz1,2, Bertrand Bouchard1, Gabrielle Boucher1, Olivier Gingras1, Caroline Daneault1, Isabelle Robillard Frayne1, David Rhainds1, Jean-Claude Tardif1,2, John D Rioux1,2, Christine Des Rosiers1,3.   

Abstract

The goal of this work was to develop a label-free, comprehensive, and reproducible high-resolution liquid chromatography-mass spectrometry (LC-MS)-based untargeted lipidomic workflow using a single instrument, which could be applied to biomarker discovery in both basic and clinical studies. For this, we have (i) optimized lipid extraction and elution to enhance coverage of polar and nonpolar lipids as well as resolution of their isomers, (ii) ensured MS signal reproducibility and linearity, and (iii) developed a bioinformatic pipeline to correct remaining biases. Workflow validation is reported for 48 replicates of a single human plasma sample: 1124 reproducible LC-MS signals were extracted (median signal intensity RSD = 10%), 50% of which are redundant due to adducts, dimers, in-source fragmentation, contaminations, or positive and negative ion duplicates. From the resulting 578 unique compounds, 428 lipids were identified by MS/MS, including acyl chain composition, of which 394 had RSD < 30% inside their linear intensity range, thereby enabling robust semiquantitation. MS signal intensity spanned 4 orders of magnitude, covering 16 lipid subclasses. Finally, the power of our workflow is illustrated by a proof-of-concept study in which 100 samples from healthy human subjects were analyzed and the data set was investigated using three different statistical testing strategies in order to compare their capacity in identifying the impact of sex and age on circulating lipids.

Entities:  

Keywords:  WGCNA; annotation; coverage; lipid isomers; lipidomics; lipids; mass spectrometry; reproducibility; untargeted; workflow

Mesh:

Substances:

Year:  2018        PMID: 30256116      PMCID: PMC6572761          DOI: 10.1021/acs.jproteome.8b00270

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  4 in total

1.  Lipidomics unveils lipid dyshomeostasis and low circulating plasmalogens as biomarkers in a monogenic mitochondrial disorder.

Authors:  Matthieu Ruiz; Alexanne Cuillerier; Caroline Daneault; Sonia Deschênes; Isabelle Robillard Frayne; Bertrand Bouchard; Anik Forest; Julie Thompson Legault; Frederic M Vaz; John D Rioux; Yan Burelle; Christine Des Rosiers
Journal:  JCI Insight       Date:  2019-07-25

2.  Adaptive optimization of the OXPHOS assembly line partially compensates lrpprc-dependent mitochondrial translation defects in mice.

Authors:  Alexanne Cuillerier; Matthieu Ruiz; Caroline Daneault; Anik Forest; Jenna Rossi; Goutham Vasam; George Cairns; Virgilio Cadete; Christine Des Rosiers; Yan Burelle
Journal:  Commun Biol       Date:  2021-08-19

3.  Impact of obesity on day-night differences in cardiac metabolism.

Authors:  Sobuj Mia; Ravi Sonkar; Lamario Williams; Mary N Latimer; Isabelle Frayne Robillard; Abhinav Diwan; Stuart J Frank; Christine Des Rosiers; Martin E Young
Journal:  FASEB J       Date:  2021-03       Impact factor: 5.191

4.  Downregulation of low-density lipoprotein receptor mRNA in lymphatic endothelial cells impairs lymphatic function through changes in intracellular lipids.

Authors:  Laurent Vachon; Ali Smaani; Nolwenn Tessier; Gabriel Jean; Annie Demers; Andreea Milasan; Nadine Ardo; Stéphanie Jarry; Louis Villeneuve; Azadeh Alikashani; Vincent Finherty; Matthieu Ruiz; Mary G Sorci-Thomas; Gaétan Mayer; Catherine Martel
Journal:  Theranostics       Date:  2022-01-01       Impact factor: 11.556

  4 in total

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