6 resultados para Article 37
em Aston University Research Archive
Resumo:
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.
Resumo:
1. The role of individual residues in the 8-18 helix of CGRP 8-37 in promoting high-affinity binding to CGRP 1 receptors expressed on rat L6 and human SK-N-MC cells has been examined. The relative potencies of various derivatives were estimated from their ability to inhibit the human αCGRP-mediated increase in cyclic AMP production and the binding of [ 125I]-human αCGRP. 3. Arg 11 and Arg 18 were replaced by serines to give [Ser 11.18]CGRP 8-37. These bound with pKi values <6 to SK-N-MC cells and had apparent pA 2 values of 5.81 ± 0.04 and 5.31 ± 0.11 on SK-N-MC and L6 cells. CGRP 8-37 had a pKi of 8.22 on SK-N-MC cells and pK b values on the above cell lines of 8.95±0.04 and 8.76±0.04. 3. The arginines were replaced with glutamic acid residues. [Glu 11]CGRP 8-37 had a pK b of 7.14±0.14 on SK-N-MC cells (pKi=7.05±0.05) and 6.99±0.08 on L6 cells. [Glu 18]CGRP 8-37 had a pK b of 7.10±0.0.08 on SK-N-MC cells (pKi=6.91±0.23) and 7.12±0.09 on L6 cells. 4. Leu 12, Leu 15 and Leu 16 were replaced by benzoyl-phenylalanine (bpa) residues. On SK-N-MC cells, the apparent pA 2 values of [bpa 12]-, [bpa 15]- and [bpa 16]CGRP 8-37 were respectively 7.43±0.23, 8.34±0.11 and 5.66±0.16 (pKi values of 7.14±0.17, 7.66±0.21 and <6): on L6 cells they were 7.96±0.36, 8.28±0.21 and 6.09±0.04 (all n=3). 5. It is concluded that the Arg 11 and Arg 18 are involved in specific electrostatic interactions with other residues, either on the CGRP 1 receptors or elsewhere on CGRP 8-37. Leu 16 is in a conformationally restricted site when CGRP 8-37 binds to CGRP 1 receptors, unlike Leu 12 and Leu 15.
Resumo:
1. The ability of the CGRP antagonist BIBN4096BS to antagonize CGRP and adrenomedullin has been investigated on cell lines endogenously expressing receptors of known composition. 2. On human SK-N-MC cells (expressing human calcitonin receptor-like receptor (CRLR) and receptor activity modifying protein 1 (RAMP1)), BIBN4096BS had a pA 2 of 9.95 although the slope of the Schild plot (1.37±0.16) was significantly greater than 1. 3. On rat L6 cells (expressing rat CRLR and RAMP1), BIBN4096BS had a pA 2 of 9.25 and a Schild slope of 0.89±0.05, significantly less than 1. 4. On human Colony (Col) 29 cells, CGRP 8-37 had a significantly lower pA 2 than on SK-N-MC cells (7.34±0.19 (n=7) compared to 8.35±0.18, (n=6)). BIBN4096BS had a pA 2 of 9.98 and a Schild plot slope of 0.86±0.19 that was not significantly different from 1. At concentrations in excess of 3 nM, it was less potent on Col 29 cells than on SK-N-MC cells. 5. On Rat 2 cells, expressing rat CRLR and RAMP2, BIBN4096BS was unable to antagonize adrenomedullin at concentrations up to 10 μM. CGRP 8-37 had a pA 2 of 6.72 against adrenomedullin. 6. BIBN4096BS shows selectivity for the human CRLR/RAMP1 combination compared to the rat counterpart. It can discriminate between the CRLR/RAMP1 receptor expressed on SK-N-MC cells and the CGRP-responsive receptor expressed by the Col 29 cells used in this study. Its slow kinetics may explain its apparent 'non-competive' behaviour. At concentrations of up to 10 μM, it has no antagonist actions at the adrenomedullin, CRLR/RAMP2 receptor, unlike CGRP 8-37.
Resumo:
Book review
Resumo:
An organism living in water, and present at low density, may be distributed at random and therefore, samples taken from the water are likely to be distributed according to the Poisson distribution. The distribution of many organisms, however, is not random, individuals being either aggregated into clusters or more uniformly distributed. By fitting a Poisson distribution to data, it is only possible to test the hypothesis that an observed set of frequencies does not deviate significantly from an expected random pattern. Significant deviations from random, either as a result of increasing uniformity or aggregation, may be recognized by either rejection of the random hypothesis or by examining the variance/mean (V/M) ratio of the data. Hence, a V/M ratio not significantly different from unity indicates a random distribution, greater than unity a clustered distribution, and less then unity a regular or uniform distribution . If individual cells are clustered, however, the negative binomial distribution should provide a better description of the data. In addition, a parameter of this distribution, viz., the binomial exponent (k), may be used as a measure of the ‘intensity’ of aggregation present. Hence, this Statnote describes how to fit the negative binomial distribution to counts of a microorganism in samples taken from a freshwater environment.