TY - JOUR
T1 - Comprehensive Lipidomic Workflow for Multicohort Population Phenotyping Using Stable Isotope Dilution Targeted Liquid Chromatography-Mass Spectrometry
AU - Ryan, Monique J.
AU - Grant-St James, Alanah
AU - Lawler, Nathan G.
AU - Fear, Mark W.
AU - Raby, Edward
AU - Wood, Fiona M.
AU - Maker, Garth L.
AU - Wist, Julien
AU - Holmes, Elaine
AU - Nicholson, Jeremy K.
AU - Whiley, Luke
AU - Gray, Nicola
N1 - Funding Information:
This research is supported by an Australian Government Research Training Program Scholarship awarded by the Commonwealth of Australia to Higher Degree Research students for author Monique Ryan. We thank the Western Australian State Government, and the MRFF for funding the Australian National Phenome Centre for this and related work. We thank the Department of Jobs, Tourism, Science and Innovation (WA), Government of Western Australian Premier’s Fellowship and ARC Laureate Fellowship funding for author Prof. Elaine Holmes. We thank the Department of Health (WA) Research Translation Programme, Spinnaker Health Research Foundation and the Fiona Wood Foundation for funding the CABIN Fever trial and its related work at Fiona Stanley Hospital. We acknowledge SCIEX for their support in establishing the LC-QQQ-MS method, with particular thanks to Dr. Thusi Rupasinghe.
Publisher Copyright:
© 2023 The Authors. Published by American Chemical Society.
PY - 2023/5/5
Y1 - 2023/5/5
N2 - Dysregulated lipid metabolism underpins many chronic diseases including cardiometabolic diseases. Mass spectrometry-based lipidomics is an important tool for understanding mechanisms of lipid dysfunction and is widely applied in epidemiology and clinical studies. With ever-increasing sample numbers, single batch acquisition is often unfeasible, requiring advanced methods that are accurate and robust to batch-to-batch and interday analytical variation. Herein, an optimized comprehensive targeted workflow for plasma and serum lipid quantification is presented, combining stable isotope internal standard dilution, automated sample preparation, and ultrahigh performance liquid chromatography-tandem mass spectrometry with rapid polarity switching to target 1163 lipid species spanning 20 subclasses. The resultant method is robust to common sources of analytical variation including blood collection tubes, hemolysis, freeze-thaw cycles, storage stability, analyte extraction technique, interinstrument variation, and batch-to-batch variation with 820 lipids reporting a relative standard deviation of <30% in 1048 replicate quality control plasma samples acquired across 16 independent batches (total injection count = 6142). However, sample hemolysis of ≥0.4% impacted lipid concentrations, specifically for phosphatidylethanolamines (PEs). Low interinstrument variability across two identical LC-MS systems indicated feasibility for intra/inter-lab parallelization of the assay. In summary, we have optimized a comprehensive lipidomic protocol to support rigorous analysis for large-scale, multibatch applications in precision medicine. The mass spectrometry lipidomics data have been deposited to massIVE: data set identifiers MSV000090952 and 10.25345/C5NP1WQ4S.
AB - Dysregulated lipid metabolism underpins many chronic diseases including cardiometabolic diseases. Mass spectrometry-based lipidomics is an important tool for understanding mechanisms of lipid dysfunction and is widely applied in epidemiology and clinical studies. With ever-increasing sample numbers, single batch acquisition is often unfeasible, requiring advanced methods that are accurate and robust to batch-to-batch and interday analytical variation. Herein, an optimized comprehensive targeted workflow for plasma and serum lipid quantification is presented, combining stable isotope internal standard dilution, automated sample preparation, and ultrahigh performance liquid chromatography-tandem mass spectrometry with rapid polarity switching to target 1163 lipid species spanning 20 subclasses. The resultant method is robust to common sources of analytical variation including blood collection tubes, hemolysis, freeze-thaw cycles, storage stability, analyte extraction technique, interinstrument variation, and batch-to-batch variation with 820 lipids reporting a relative standard deviation of <30% in 1048 replicate quality control plasma samples acquired across 16 independent batches (total injection count = 6142). However, sample hemolysis of ≥0.4% impacted lipid concentrations, specifically for phosphatidylethanolamines (PEs). Low interinstrument variability across two identical LC-MS systems indicated feasibility for intra/inter-lab parallelization of the assay. In summary, we have optimized a comprehensive lipidomic protocol to support rigorous analysis for large-scale, multibatch applications in precision medicine. The mass spectrometry lipidomics data have been deposited to massIVE: data set identifiers MSV000090952 and 10.25345/C5NP1WQ4S.
KW - lipid profiling
KW - lipid quantification
KW - lipidomics
KW - lipids
KW - liquid chromatography-mass spectrometry
KW - metabolic phenotyping
KW - molecular epidemiology
UR - http://www.scopus.com/inward/record.url?scp=85149049717&partnerID=8YFLogxK
U2 - 10.1021/acs.jproteome.2c00682
DO - 10.1021/acs.jproteome.2c00682
M3 - Article
C2 - 36828482
AN - SCOPUS:85149049717
SN - 1535-3893
VL - 22
SP - 1419
EP - 1433
JO - Journal of Proteome Research
JF - Journal of Proteome Research
IS - 5
ER -