University of PardubiceFaculty of Chemical Technology

University

Employees
|
Students
Česky

Publication detail

REVERSED-PHASE UHPLC/MS APPROACH FOR THE ANALYSIS OF LIPIDS IN HUMAN PLASMA FROM PANCREATIC CANCER PATIENTS AND LONG SURVIVORS

Authors: Vaňková Zuzana | Peterka Ondřej | Idkowiak Jakub | Jirásko Robert | Mohelníková Duchonova Beatrice | Loveček Martin | Melichar Bohuslav | Holčapek Michal

Year: 2023

Type of publication: ostatní - přednáška nebo poster

Page from-to: nestránkováno

Titles:

Language	Name	Abstract	Keywords
eng	REVERSED-PHASE UHPLC/MS APPROACH FOR THE ANALYSIS OF LIPIDS IN HUMAN PLASMA FROM PANCREATIC CANCER PATIENTS AND LONG SURVIVORS	Lipids are diverse endogenous biomolecules that play an important role in human metabolism. Their dysregulation is related to many serious diseases, e.g., various types of cancer. Pancreatic ductal adenocarcinoma (PDAC) is one of the most common causes of cancer-related deaths worldwide, with an average 5-year survival rate of less than 10%. Comprehensive lipid profiling currently appears to be a possible way of early detection of this type of cancer. Mass spectrometry is the primary technique for lipidomic analysis, and the connection to separation methods enables the identification and quantification of a large number of lipids from various lipid categories. The main objective of this study was to apply our robust and high-throughput quantitative reversed-phase ultrahigh-performance liquid chromatography (RP-UHPLC) method to the lipidomic profiling of PDAC patients1. The main advantage of separation in RP mode is the possibility of distinguishing isobaric molecules due to the predictable retention behavior of logical lipid series. This approach allows the quantitation of more lipid species than in case of other lipid class separation methods. The UHPLC is coupled to a low-resolution mass spectrometer, where the characteristic transitions of each lipid species were measured by multiple reaction monitoring (MRM) scanning. This fully validated method enables the quantitation of more than 450 lipid species in PDAC samples, healthy volunteers, and long-term survivors of PDAC (more than 5-year survival without recurrence). The unsupervised PCA without sample classification and supervised OPLS-DA with known sample classification were performed to visualize dysregulated lipids in PDAC samples. The most downregulated lipid classes include sphingolipids with very long fatty acyl chains (e.g., SM 41:1;O2 and Cer 41:1;O2), which is in agreement with previously published data2.These results provide clear evidence that long-term survivors retain characteristics of the cancer