3-Hydroxyquinolin-2(1H)-one (2) was discovered by high throughput screening in a functional assay to be a potent inhibitor of human DAAO, and its binding affinity was confirmed in a Biacore assay. Cocrystallization of 2 with the human DAAO enzyme defined the binding site and guided the design of new analogues. The SAR, pharmacokinetics, brain exposure, and effects on cerebellum D-serine are described. Subsequent evaluation against the rat DAAO enzyme revealed a divergent SAR versus the human enzyme and may explain the high exposures of drug necessary to achieve significant changes in rat or mouse cerebellum D-serine.

Organic anion transporters (OATs) are important in the renal secretion, and thus, the clearance, of many drugs; and their functional change can result in pharmacokinetic variability. In this study, we applied transport rates measured in vitro using OAT-transfected human embryonic kidney cells to predict human renal secretory and total renal clearance of 31 diverse drugs. Selective substrates to OAT1 (tenofovir), OAT2 (acyclovir and ganciclovir), and OAT3 (benzylpenicillin, oseltamivir acid) were used to obtain relative activity factors (RAFs) for these individual transporters by relating in vitro transport clearance (after physiologic scaling) to in vivo secretory clearance. Using the estimated RAFs (0.64, 7.3, and 4.1, respectively, for OAT1, OAT2, and OAT3, respectively) and the in vitro active clearances, renal secretory clearance and total renal clearance were predicted with average fold errors (AFEs) of 1.89 and 1.40, respectively. The results show that OAT3-mediated transport play a predominant role in renal secretion for 22 of the 31 drugs evaluated. This mechanistic static approach was further applied to quantitatively predict renal drug-drug interactions (AFE ∼1.6) of the substrate drugs with probenecid, a clinical probe OAT inhibitor. In conclusion, the proposed in vitro-in vivo extrapolation approach is the first comprehensive attempt toward mechanistic modeling of renal secretory clearance based on routinely employed in vitro cell models.

LY-450139 is a ␥-secretase inhibitor shown to have efficacy in multiple cellular and animal models. Paradoxically, robust elevations of plasma amyloid-␤ (A␤) have been reported in dogs and humans after administration of subefficacious doses. The present study sought to further evaluate A␤ responses to LY-450139 in the guinea pig, a nontransgenic model that has an A␤ sequence identical to that of human. Male guinea pigs were treated with LY-450139 (0.2-60 mg/kg), and brain, cerebrospinal fluid, and plasma A␤ levels were characterized at 1, 3, 6, 9, and 14 h postdose. Low doses significantly elevated plasma A␤ levels at early time points, with return to baseline within hours. Higher doses inhibited A␤ levels in all compartments at early time points, but elevated plasma A␤ levels at later time points. To determine whether this phenomenon occurs under steadystate drug exposure, guinea pigs were implanted with subcutaneous minipumps delivering LY-450139 (0.3-30 mg/kg/day) for 5 days. Plasma A␤ was significantly inhibited at 10 -30 mg/kg/day, but significantly elevated at 1 mg/kg/day. To further understand the mechanism of A␤ elevation by LY-450139, H4 cells overexpressing the Swedish mutant of amyloid-precursor protein and a mouse embryonic stem cell-derived neuronal cell line were studied. In both cellular models, elevated levels of secreted A␤ were observed at subefficacious concentrations, whereas dose-responsive inhibition was observed at higher concentrations. These results suggest that LY-450139 modulates the ␥-secretase complex, eliciting A␤ lowering at high concentrations but A␤ elevation at low concentrations.The pathological accumulation of amyloid-␤ peptide into dense core plaques in the brains of Alzheimer's disease patients is the ultimate target of multiple disease-modifying drug discovery efforts. One strategy that has entered the clinic is the use of a ␥-secretase inhibitor to reduce central A␤ production. Preclinically, multiple ␥-secretase inhibitors have demonstrated central and peripheral A␤-lowering activity in transgenic mouse lines overexpressing human mutant amyloid precursor protein (Dovey et al., 2001;Cirrito et al., 2003;Lanz et al., 2003Lanz et al., , 2004Wong et al., 2004;, as well as nontransgenic species (Anderson et al., 2005;Best et al., 2006;El Mouedden et al., 2006). Whereas acute treatment of old, plaque-bearing mice should have little immediate impact on plaque load (insoluble A␤), these inhibitors have been shown to inhibit A␤ in CSF (Lanz et al., 2003;Barten et al., 2005) and interstitial fluid (Cirrito et al., 2003) similarly in both plaque-free and plaque-bearing mice. In addition, plasma A␤ has been shown to be reduced similarly by ␥-secretase inhibition in both young and old Tg2576 mice (Lanz et al., 2003;Barten et al., 2005). These findings indicate that despite the presence or absence of insoluble A␤ plaques, these compounds had similar potency in reducing soluble, secreted A␤ in young and old transgenic mice.The ability of plasma and CSF A␤ to track pharmacologic...

Hepatic uptake transport is often the rate-determining step in the systemic clearance of drugs. The ability to predict uptake clearance and to determine the contribution of individual transporters to overall hepatic uptake is therefore critical in assessing the potential pharmacokinetic and pharmacodynamic variability associated with drug-drug interactions and pharmacogenetics. The present study revisited the interaction of statin drugs, including pitavastatin, fluvastatin and rosuvastatin, with the sodium-dependent taurocholate co-transporting polypeptide (NTCP) using gene transfected cell models. In addition, the uptake clearance and the contribution of NTCP to the overall hepatic uptake were assessed using in vitro hepatocyte models. Then NTCP protein expression was measured by a targeted proteomics transporter quantification method to confirm the presence and stability of NTCP expression in suspended and cultured hepatocyte models. It was concluded that NTCP-mediated uptake contributed significantly to active hepatic uptake in hepatocyte models for all three statins. However, the contribution of NTCP-mediated uptake to the overall active hepatic uptake was compound-dependent and varied from about 24% to 45%. Understanding the contribution of individual transporter proteins to the overall hepatic uptake and its functional variability when other active hepatic uptake pathways are interrupted could improve the current prediction practice used to assess the pharmacokinetic variability due to drug-drug interactions, pharmacogenetics and physiopathological conditions in humans.

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