To gain a better understanding of the chemical physical properties of DGAT1 inhibitors as it relates to skin AEs, we evaluated lipophlicity of these compounds which can be either measured by HPLC or 2222-07-3 distributor calculated using the ACD software. Distribution into skin can be understood as a partitioning equilibrium dependent on compound properties. As listed in compounds tested were found to induce either ����minimal to mild���� or ����moderate to marked���� skin sebaceous gland atrophy after 14 days of treatment. Compounds with sufficient potency against the mouse enzyme only show skin toxicity as measured by histopathology at sufficient exposure levels in the skin. Interestingly, we find that compounds with skin effects can be distinguished from compounds without observable skin effects by plotting lipophilicity against the observed histopathology. Compounds which show significant or minimal adverse effects in skin generally have a predicted clogD of greater than 1, while compounds with no observable effects all have a predicted clogD of less. We also plotted mlogD versus observed histopathology and found considerable overlap between the compounds showing and lacking adverse skin effects. While the mlogD and clogD are Ribociclib hydrochloride correlated, there is a poorer correlation of the most polar compounds and the mlogD does not correctly predict histopathological findings. To better understand why measured logD more poorly differentiated compounds than calculated logD we plotted the frequency of logD measurements for about 4,000 DGAT1 compounds by method. While the two logD methods were correlated, we found that the dynamic range of measured logD was significantly less than the calculated range with values ranging from 0 to 5.5, while calculated logD measurements ranged from 23 to 9. The shoulder at mlogD five represents the more lipophilic series B compounds and is less pronounced, but visible, in the clogD distribution. The narrower range of HPLC measured logD measurements does not significantly distinguish compounds, while the ACD calculated logD values allow for more differentiation. To identify biomarkers underlying the skin pathophysiology associated with DGAT1 inhibition we initiated global gene expression profiling. Diet induced obese mice were treated with several structurall