Omic-Scale High-Throughput Quantitative LC–MS/MS Approach for Circulatory Lipid Phenotyping in Clinical Research
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https://figshare.com/articles/dataset/Omic-Scale_High-Throughput_Quantitative_LC_MS_MS_Approach_for_Circulatory_Lipid_Phenotyping_in_Clinical_Research/21977901
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资源简介：
Lipid analysis at the molecular species level represents
a valuable
opportunity for clinical applications due to the essential roles that
lipids play in metabolic health. However, a comprehensive and high-throughput
lipid profiling remains challenging given the lipid structural complexity
and exceptional diversity. Herein, we present an ‘omic-scale
targeted LC–MS/MS approach for the straightforward and high-throughput
quantification of a broad panel of complex lipid species across 26
lipid (sub)classes. The workflow involves an automated single-step
extraction with 2-propanol, followed by lipid analysis using hydrophilic
interaction liquid chromatography in a dual-column setup coupled to
tandem mass spectrometry with data acquisition in the timed-selective
reaction monitoring mode (12 min total run time). The analysis pipeline
consists of an initial screen of 1903 lipid species, followed by high-throughput
quantification of robustly detected species. Lipid quantification
is achieved by a single-point calibration with 75 isotopically labeled
standards representative of different lipid classes, covering lipid
species with diverse acyl/alkyl chain lengths and unsaturation degrees.
When applied to human plasma, 795 lipid species were measured with
median intra- and inter-day precisions of 8.5 and 10.9%, respectively,
evaluated within a single and across multiple batches. The concentration
ranges measured in NIST plasma were in accordance with the consensus
intervals determined in previous ring-trials. Finally, to benchmark
our workflow, we characterized NIST plasma materials with different
clinical and ethnic backgrounds and analyzed a sub-set of sera (n = 81) from a clinically healthy elderly population. Our
quantitative lipidomic platform allowed for a clear distinction between
different NIST materials and revealed the sex-specificity of the serum
lipidome, highlighting numerous statistically significant sex differences.
创建时间：
2023-01-30
