During early-stage drug development, drug and metabolite distribution studies are carried out in animal tissues using a range of techniques, particularly whole body autoradiography (WBA). While widely employed, WBA has a number of limitations, including the following: expensive synthesis of radiolabeled drugs and analyte specificity and identification. WBA only images the radiolabel. MALDI MSI has been shown previously to be advantageous for imaging the distribution of a range of drugs and metabolites in whole body sections. Ion mobility separation (IMS) adds a further separation step to imaging experiments; demonstrated here is MALDI-IMS-MS whole body imaging of rats dosed at 6 mg/kg i.v. with an anticancer drug, vinblastine and shown is the distribution of the precursor ion m/z 811.4 and several product ions including m/z 793, 751, 733, 719, 691, 649, 524, and 355. The distribution of vinblastine within the ventricles of the brain is also depicted. Clearly demonstrated in these data are the removal of interfering isobaric ions within the images of m/z 811.4 and also of the transition m/z 811-751, resulting in a higher confidence in the imaging data. Within this work, IMS has shown to be advantageous in both MS and MS/MS imaging experiments by separating vinblastine from an endogenous isobaric lipid.
In order to assess the potential of matrix-assisted laser desorption mass spectrometry imaging for the examination of artificial skin models, the absorption of the tricyclic antidepressant imipramine into Straticell-RHE-EPI/001 an artificial model of the human epidermis has been studied. The presence of imipramine could be clearly discerned in treated samples by imaging the distribution of the protonated molecule at m/z 281.18 in samples taken 2 and 8 h after treatment. No clear evidence of biotransformation of imipramine in the artificial epidermal model was detected, although some signals that could potentially be assigned to the desmethyl metabolite were detected. Further work is required in order to investigate the reasons for the apparent low levels of metabolites detected.
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