biostudies-literatureBaker DBundesministerium f??r Bildung und Forschung24295-24305https://www.ebi.ac.uk/biostudies/studies/S-EPMC12613151biostudies-literatureUnknown97(44)This study introduces a clinical lipidomics platform leveraging fragment-based quantification on parallel reaction monitoring (PRM)-parallel accumulation serial fragmentation (PASEF) for lipid quantification. An isomeric model, termed "SN regression model", built on specific PASEF-fragment ion patterns, was developed for the quantification of coeluting sn positional isomers without prior derivatization. This PASEF-isomeric lipidomics aids in the resolution and quantification of 176 lipid isomers coeluting in chromatography and/or ion mobility dimensions, expanding the lipidome quantitative coverage to 481 plasma lipids covering 14 lipid subclasses with CV <40% for 32 plasma replicates. We demonstrated the method's advantage for clinical research by detailed quantitative lipidomic phenotypiAnalytical chemistryprm-PASEF-Based Quantification and Isomeric Model for Extended Coverage of Human Plasma Lipidome in Parkinson's Disease.PMC1261315116LK0241K031 L0217 A03ZU1202EBGonzalez Escamilla GBindila LGroppa SJanitschke DDevaux YBaker DSchroter Nfalseprm-PASEF-Based Quantification and Isomeric Model for Extended Coverage of Human Plasma Lipidome in Parkinson's Disease.This study introduces a clinical lipidomics platform leveraging fragment-based quantification on parallel reaction monitoring (PRM)-parallel accumulation serial fragmentation (PASEF) for lipid quantification. An isomeric model, termed "SN regression model", built on specific PASEF-fragment ion patterns, was developed for the quantification of coeluting sn positional isomers without prior derivatization. This PASEF-isomeric lipidomics aids in the resolution and quantification of 176 lipid isomers coeluting in chromatography and/or ion mobility dimensions, expanding the lipidome quantitative coverage to 481 plasma lipids covering 14 lipid subclasses with CV <40% for 32 plasma replicates. We demonstrated the method's advantage for clinical research by detailed quantitative lipidomic phenotypi2025-01-01T00:00:00Z2025 Nov2026-06-05T13:40:41.537Z2026-05-17T03:12:36.628ZS-EPMC126131514114362610.1021/acs.analchem.5c02340