Trans-crocin 4 (TC4) is an important carotenoid constituent of saffron showing remarkable
activity against Alzheimer's disease due to its antioxidant and antiamyloidogenic
properties. Metabolomics is an emerging scientific field that enhances biomarker discovery
and reveals underlying biochemical mechanisms aiming towards the early subclinical
diagnosis of diseases. So far, there have been scarce data demonstrating changes induced
to mice plasma metabolome after TC4 administration. Thus, an untargeted UPLC-HRMS
metabolomics approach has been employed to determine the alteration to the metabolic
fingerprint after i.p administration of TC4 in male and female mice. Therefore, blood samples from 58 mice
administered with TC4 including control animals were analyzed by UPLC-HRMS (Orbitrap
Discovery XL). Statistical evaluation of the results was achieved by multivariate
analysis (MVA) i.e. principal component analysis (PCA), projections to latent structures-discriminant
analysis (PLS-DA) in order to discover the variables that contributed to the discrimination
between treated and untreated groups whereas the variables contributing to the discrimination
were identified using comparisons to online databases (e.g. Metlin) along with software
manipulations e.g. adduct and fragment identification, covariance searching etc. It
should be noted that due to the high variability imposed by various factors e.g. sex,
dose and time points, the multilevel PLS-DA e.g. splitting variation to each individual
component, has proven to be the only effective approach. By this methodology, the
time sequence of metabolome changes due to the administration of TC4 has been made
apparent. Furthermore, a sex-related effect on the metabolome has been proven to exist,
denoting that the administration in both genders is indispensable in order to acquire
safe conclusions as reliable metabolome pictures.