skin adverse effects was instrumental in advancing the drug discovery effort for the identification of DGAT1 small molecule inhibitors with minimal impact in the skin. Furthermore molecular markers in mouse skin were identified that could potentially serve as early readouts of adverse events in a clinical setting. It will be important Benzamide, 3-[[4-[3-(4-fluoro-2-methylphenoxy)-1-azetidinyl]-2-pyrimidinyl]amino]-N-methyl- however to determine if these findings from the murine system are also relevant in human skin as there are known differences in sebaceous gland biology/pathology across species. In that sense, markers already associated with sebaceous gland function or inflammation in humans might be the most promising MCE Company 957054-30-7 candidates for clinical markers of sebaceous gland atrophy. Skin samples from DIO mice treated with DGAT1 inhibitors for 14 days were collected from the dorsal and/or ventral surface and immediately fixed in buffered formalin for 24 hr at room temperature and embedded in paraffin. Paraffin specimens were sectioned at 5 mm and stained with hematoxylin and eosin, and were evaluated blindly with light microscopy. In general, the severity scores were determined using the following criteria and greater than sebaceous gland units with some evidence of atrophy, respectively. One slide/location with at least 50 sebaceous glands was used for scoring purposes. A Thermo Scientific-Cohesive LX-2 system consisting of a CTC Analytics autosampler, Flux Instruments AG pumps, and a valve module, controlled by Aria software was used. A Sciex API-4000 mass spectrometer was the detector. The aqueous mobile phase was water with formic acid and the organic mobile phase was acetonitrile with formic acid. A gradient chromatographic profile was used. An initial condition was held for 15 seconds. Then over 90 seconds, the chromatic conditions were ramped. This was held for 25 seconds when the conditions were changed back to original and held for 50 seconds. A turbo ionspray interface was used in positiveion mode for detection of analytes. Multiple reaction monitoring was used to measure the analyte response. The peak area ratio of analyte to internal standard for nominal concentrations was used to make a linear regression line with a weighting factor. The lines equation was used to determine the concentration in the unknown samples. The activity o
