From MS/MS Library Implementation to Molecular Networks: Exploring Oxylipin Diversity with NEO-MSMS

09 November 2023, Version 2

Abstract

Oxylipins, small polar molecules derived from the peroxidation of polyunsaturated fatty acids (PUFAs), serve as biomarkers for many diseases and play crucial roles in human physiology and inflammation. Despite their significance, many non-enzymatic oxygenated metabolites of PUFAs (NEO-PUFAs) remain poorly reported, resulting in a lack of public datasets of experimental data and limiting their dereplication in further studies. To overcome this limitation, we constructed a high-resolution tandem mass spectrometry (MS/MS) database comprising pure NEO-PUFAs (both commercial and self-synthesized) and in vitro free radical-induced oxidation of diverse PUFAs. By employing molecular networking techniques with this database and the existent ones in public repositories, we successfully mapped a wide range of NEO-PUFAs, expanding the strategies for annotating oxylipins, and NEO-PUFAs and offering a novel workflow for profiling these molecules in biological samples.

Keywords

Epilipidomics
Molecular Networking
Lipidomics
Oxylipins

Supplementary materials

Title
Description
Actions
Title
Supplementary Information
Description
It contains additional NMR data, the detailed explanations about MSMS spectra fragmentation patterns, and some adittional explanation of the molecular networks built.
Actions
Title
Supplementary Table S1
Description
Supplementary Table S1
Actions
Title
Supplementary Table S2
Description
Supplementary Table S2
Actions
Title
Supplementary Table S3
Description
Supplementary Table S3
Actions
Title
Supplementary Table S4
Description
Supplementary Table S4
Actions
Title
Supplementary Table S5
Description
Supplementary Table S5
Actions

Comments

Comments are not moderated before they are posted, but they can be removed by the site moderators if they are found to be in contravention of our Commenting Policy [opens in a new tab] - please read this policy before you post. Comments should be used for scholarly discussion of the content in question. You can find more information about how to use the commenting feature here [opens in a new tab] .
This site is protected by reCAPTCHA and the Google Privacy Policy [opens in a new tab] and Terms of Service [opens in a new tab] apply.