First Proof
of Concept of a Click Inverse Electron
Demand Diels–Alder Reaction for Assigning the Regiochemistry
of Carbon–Carbon Double Bonds in Untargeted Lipidomics
posted on 2024-06-14, 15:34authored byAndrea Cerrato, Chiara Cavaliere, Aldo Laganà, Carmela Maria Montone, Susy Piovesana, Alessandro Sciarra, Enrico Taglioni, Anna Laura Capriotti
Lipidomics by high-resolution mass spectrometry (HRMS)
has become
a prominent tool in clinical chemistry due to the proven connections
between lipid dysregulation and the insurgence of pathologies. However,
it is difficult to achieve structural characterization beyond the
fatty acid level by HRMS, especially when it comes to the regiochemistry
of carbon–carbon double bonds, which play a major role in determining
the properties of cell membranes. Several approaches have been proposed
for elucidating the regiochemistry of double bonds, such as derivatization
before MS analysis by photochemical reactions, which have shown great
potential for their versatility but have the unavoidable drawback
of splitting the MS signal. Among other possible approaches for derivatizing
electron-rich double bonds, the emerging inverse-electron-demand Diels–Alder
(IEDDA) reaction with tetrazines stands out for its unmatchable kinetics
and has found several applications in basic biology and protein imaging.
In this study, a catalyst-free click IEDDA reaction was employed for
the first time to pinpoint carbon–carbon double bonds in free
and conjugated fatty acids. Fatty acid and glycerophospholipid regioisomers
were analyzed alone and in combination, demonstrating that the IEDDA
reaction had click character and allowed the obtention of diagnostic
product ions following MS/MS fragmentation as well as the possibility
of performing relative quantitation of lipid regioisomers. The IEDDA
protocol was later employed in an untargeted lipidomics study on plasma
samples of patients suffering from prostate cancer and benign prostatic
conditions, confirming the applicability of the proposed reaction
to complex matrices of clinical interest.