Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
Omic-Scale High-Throughput Quantitative LC-MS/MS Approach for Circulatory Lipid Phenotyping in Clinical Research.
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4663756
Author(s) Medina, Jessica; Borreggine, Rebecca; Teav, Tony; Gao, Liang; Ji, Shanshan; Carrard, Justin; Jones, Christina; Blomberg, Niek; Jech, Martin; Atkins, Alan; Martins, Claudia; Schmidt-Trucksass, Arno; Giera, Martin; Cazenave-Gassiot, Amaury; Gallart-Ayala, Hector; Ivanisevic, Julijana
Author(s) at UniBasel Carrard, Justin
Schmidt-Trucksäss, Arno
Year 2023
Title Omic-Scale High-Throughput Quantitative LC-MS/MS Approach for Circulatory Lipid Phenotyping in Clinical Research.
Journal Analytical chemistry
Volume 95
Number 6
Pages / Article-Number 3168-3179
Mesh terms Aged; Female; Humans; Male; Chromatography, Liquid; Tandem Mass Spectrometry, methods; Lipids, analysis; Plasma, chemistry; Serum, chemistry
Abstract

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.

ISSN/ISBN 1520-6882
Full Text on edoc
Digital Object Identifier DOI 10.1021/acs.analchem.2c02598
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/36716250
   

MCSS v5.8 PRO. 0.338 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
23/06/2024