Highly sensitive and specific derivatization strategy to profile and quantitate eicosanoids by UPLC-MS/MS

- Eicosanoids are important signaling molecules.
- A highly sensitive and specific derivatization strategy was developed for eicosanoid profiling.
- The strategy was employed for eicosanoids profiling of biosamples.

Eicosanoids are signaling molecules mainly oxidized from arachidonic acid (ARA) and eicosapentaenoic acid (EPA) or docosahexaenoic acid (DHA). They have attracted increasing attention from the scientists attributing to their essential physiological functions. However, their quantification have long been challenged by the low abundance, high structure similarity, poor stability and limited ionization efficiency. In this paper, an ultra-high performance liquid chromatograph coupled with tandem mass spectrometry (UPLC-MS/MS) strategy was developed for the comprehensive profiling of more than 60 eicosanoids based on an efficient derivatization reagent 2,4-bis(diethylamino)-6-hydrazino-1,3,5-triazine (T3) and general multiple reaction monitoring (MRM) parameters. Carboxylic acid of eicosanoid was converted to amide in 30 min at 4 °C with derivatization yield larger than 99%. Limits of quantitation (LOQs) for derivatized eicosanoids varied from 0.05 to 50 pg depending on their structures. The sensitivities of derivatized eicosanoids were enhanced by 10- to 5000-folds compared to free eicosanoids. Stabilities of T3 modified eicosanoids were also highly improved compared to free eicosanoids. This new method can also be used to quantify eicosanoids in bio-samples using isotopic internal standards with high efficiency and reliability within 19 min. 46 and 50 eicosanoids in rat plasma and heart tissue from control and acute myocardial ischemia (AMI) model rats were respectively profiled and quantitated using this new method. And 24 of 46 and 25 of 50 eicosanoids were found to be significantly changed between control and model groups. The changed eicosanoids related to AMI modeling were further statistically analyzed and interpreted based on eicosanoid metabolism pathway.

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