CL/RAMP2 and CL/RAMP3 produce pharmacologically distinct adrenomedullin receptors:a comparison of effects of adrenomedullin 22-52, CGRP 8-37 and BIBN4096BS

1. Adrenomedullin (AM) has two known receptors formed by the calcitonin receptor-like receptor (CL) and receptor activity-modifying protein (RAMP) 2 or 3: We report the effects of the antagonist fragments of human AM and CGRP (AM 22-52 and CGRP 8-37) in inhibiting AM at human (h), rat (r) and mixed species CL/RAMP2 and CL/RAMP3 receptors transiently expressed in Cos 7 cells or endogenously expressed as rCL/rRAMP2 complexes by Rat 2 and L6 cells. 2. AM 22-52 (10 μM) antagonised AM at all CL/RAMP2 complexes (apparent pA 2 values: 7.34±0.14 (hCL/hRAMP2), 7.28±0.06 (Rat2), 7.00±0.05 (L6), 6.25±0.17(rCL/hRAMP2)). CGRP 8-37 (10 μM) resembled AM 22-52 except on the rCL/hRAMP2 complex, where it did not antagonise AM (apparent PA 2 values: 7.04±0.13 (hCL/hRAMP2), 6.72±0.06 (Rat2), 7.03±0. 12 (L6)). 3. On CL/RAMP3 receptors, 10 μM CGRP 8-37 was an effective antagonist at all combinations (apparent pA 2 values: 6.96±0.08 (hCL/hRAMP3), 6.18±0.18 (rCL/rRAMP3), 6.48±0.20 (rCL/ hRAMP3)). However, 10 μm AM 22-52 only antagonised AM at the hCL/hRAMP3 receptor (apparent PA 2 6.73±0.14). 4. BIBN4096BS (10 μM) did not antagonise AM at any of the receptors. 5. Where investigated (all-rat and rat/human combinations), the agonist potency order on the CL/ RAMP3 receptor was AM∼βCGRP>αCGRP. 6. rRAMP3 showed three apparent polymorphisms, none of which altered its coding sequence. 7. This study shows that on CL/RAMP complexes, AM 22-52 has significant selectivity for the CL/ RAMP2 combination over the CL/RAMP3 combination. On the mixed species receptor, CGRP 8-37 showed the opposite selectivity. Thus, depending on the species, it is possible to discriminate pharmacologically between CL/RAMP2 and CL/RAMP3 AM receptors.

Attributed graph kernels using the Jensen-Tsallis q-differences

We propose a family of attributed graph kernels based on mutual information measures, i.e., the Jensen-Tsallis (JT) q-differences (for q  ∈ [1,2]) between probability distributions over the graphs. To this end, we first assign a probability to each vertex of the graph through a continuous-time quantum walk (CTQW). We then adopt the tree-index approach [1] to strengthen the original vertex labels, and we show how the CTQW can induce a probability distribution over these strengthened labels. We show that our JT kernel (for q  = 1) overcomes the shortcoming of discarding non-isomorphic substructures arising in the R-convolution kernels. Moreover, we prove that the proposed JT kernels generalize the Jensen-Shannon graph kernel [2] (for q = 1) and the classical subtree kernel [3] (for q = 2), respectively. Experimental evaluations demonstrate the effectiveness and efficiency of the JT kernels.

An examination of the calcium and strontium site distribution in bioactive glasses through isomorphic neutron diffraction, X-ray diffraction, EXAFS and multinuclear solid state NMR.

Strontium has been substituted for calcium in the glass series (SiO2)49.46(Na2O)26.38(P2O5)1.07(CaO)23.08x(SrO)x (where x = 0, 11.54, 23.08) to elucidate their underlying atomic-scale structural characteristics as a basis for understanding features related to the bioactivity. These bioactive glasses have been investigated using isomorphic neutron and X-ray diffraction, Sr K-edge EXAFS and solid state 17O, 23Na, 29Si, 31P and 43Ca magic-angle-spinning (MAS) NMR. An effective isomorphic substitution first-order difference function has been applied to the neutron diffraction data, confirming that Ca and Sr behave in a similar manner within the glass network, with residual differences attributed to solely the variation in ionic radius between the two species. The diffraction data provides the first direct experimental evidence of split Ca–O nearest-neighbour correlations in these melt quench bioactive glasses, together with an analogous splitting of the Sr–O correlations; the correlations are attributed to the metal ions correlated either to bridging or to non-bridging oxygen atoms. Triple quantum (3Q) 43Ca MAS NMR corroborates the split Ca–O correlations. Successful simplification of the 2 < r (A) < 3 region via the difference method has also revealed two distinct Na environments. These environments are attributed to sodium correlated either to bridging or to nonbridging oxygen atoms. Complementary multinuclear MAS NMR, Sr K-edge EXAFS and X-ray diffraction data supports the structural model presented. The structural sites present will be intimately related to their release properties in physiological fluids such as plasma and saliva, and hence the bioactivity of the material. Detailed structural knowledge is therefore a prerequisite for optimising material design.

Market value, R&D and intellectual property:an empirical analysis of large Australian firms

This paper considers the value of innovation to large Australian firms. Specifically, we investigate how R&D and intellectual property activity influences the market value of firms, using a Tobin’s q approach. R&D data are available for the period 1994–96 and data on patent, trade mark and design applications for 1996. The findings suggest that R&D and patent activity are positively and significantly associated with market value. The results also suggest that private returns to R&D in Australia are low by international standards.

The enantioselective population pharmacokinetics of intravenous ketorolac in children using a stereoselective assay suitable for microanalysis

Objective: To describe the effect of age and body size on enantiomer selective pharmacokinetic (PK) of intravenous ketorolac in children using a microanalytical assay. Methods: Blood samples were obtained at 0, 15 and 30 min and at 1, 2, 4, 6, 8 and 12 h after a weight-dependent dose of ketorolac. Enantiomer concentration was measured using a liquid chromatography tandem mass spectrometry method. Non-linear mixed-effect modelling was used to assess PK parameters. Key findings: Data from 11 children (1.7–15.6 years, weight 10.7–67.4 kg) were best described by a two-compartment model for R(+), S(−) and racemic ketorolac. Only weight (WT) significantly improved the goodness of fit. The final population models were CL = 1.5 × (WT/46)0.75, V1 = 8.2 × (WT/46), Q = 3.4 × (WT/46)0.75, V2 = 7.9 × (WT/46), CL = 2.98 × (WT/46), V1 = 13.2 × (WT/46), Q = 2.8 × (WT/46)0.75, V2 = 51.5 × (WT/46), and CL = 1.1 × (WT/46)0.75, V1 = 4.9 × (WT/46), Q = 1.7 × (WT/46)0.75 and V2 = 6.3 × (WT/46)for R(+), S(−) and racemic ketorolac. Conclusions: Only body weight influenced the PK parameters for R(+) and S(−) ketorolac. Using allometric size scaling significantly affected the clearances (CL, Q) and volumes of distribution (V1, V2).