Comprehensive Lipidomic Workflow for Multicohort Population Phenotyping Using Stable Isotope Dilution Targeted Liquid Chromatography-Mass Spectrometry.
Monique J RyanAlanah Grant-St JamesNathan G LawlerMark W FearEdward RabyFiona M WoodGarth L MakerJulien WistElaine HolmesJeremy K NicholsonLuke WhileyNicola GrayPublished in: Journal of proteome research (2023)
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.
Keyphrases
- liquid chromatography
- mass spectrometry
- liquid chromatography tandem mass spectrometry
- simultaneous determination
- solid phase extraction
- high resolution mass spectrometry
- tandem mass spectrometry
- fatty acid
- gas chromatography
- electronic health record
- high performance liquid chromatography
- quality control
- molecularly imprinted
- high throughput
- anaerobic digestion
- high resolution
- capillary electrophoresis
- cancer therapy
- big data
- machine learning
- emergency department
- randomized controlled trial
- risk factors
- deep learning
- oxidative stress
- data analysis
- artificial intelligence
- peripheral blood
- red blood cell
- ultrasound guided
- drug delivery
- single cell