Imputation of plasma lipid species to facilitate integration of lipidomic datasets.

ABSTRACT: Recent advancements in plasma lipidomic profiling methodology have significantly increased specificity and accuracy of lipid measurements. This evolution, driven by improved chromatographic and mass spectrometric resolution of newer platforms, has made it challenging to align datasets created at different times, or on different platforms. Here we present a framework for harmonising such plasma lipidomic datasets with different levels of granularity in their lipid measurements. Our method utilises elastic-net prediction models, constructed from high-resolution lipidomics reference datasets, to predict unmeasured lipid species in lower-resolution studies. The approach involves (1) constructing composite lipid measures in the reference dataset that map to less resolved lipids in the target da

SUBMITTER: Dakic A 

PROVIDER: S-EPMC10879118 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature