Amino Acids involved in differences in the pharmacological profiles of the rat and human noradrenaline transporters

It has been suggested from a previous study in our laboratory that differences in the pharmacology of the species variants of the noradrenaline transporter (NET) are the result of four non-conservative amino acid exchanges from the total of 26 amino acids that are divergent between the rat NET (rNET) and human NET (hNET). The aim of this study was to examine the effects of changing the rNET at each of these four amino acid residues, which markedly alter local charge distribution, to the amino acid found in hNET. Site-directed mutagenesis was used to create mutant cDNAs from rNET cDNA. The mutant NETs (rK71), rE62K, rK375N and rR612Q), rNET and hNET were expressed in transiently transfected COS-7 cells to determine the effects of the mutations on the differing pharmacological properties of the species variants. The ratios of V-max for noradrenaline uptake and B-max for nisoxetine binding (which are a measure of the turnover number of the transporter, i.e. the number of transport cycles per min) were greater for rNET and rR612Q than for hNET, rK71), rE62K and rK375N. The K-m of noradrenaline was lower for hNET, rK713, rE62K and rK375N than for rNET or rR612Q. There were no differences between the K-i values for inhibition of noradrenaline uptake by nisoxetine for rNET, hNET or the mutants, but the K-i values of cocaine were lower for hNET, rE62K and rR612Q than rNET or rK375N. Hence, the study showed that: (1) the aspartate 7. lysine 62 and asparagine 375 amino acid residues are important in determining the lower substrate translocation by hNET than rNET; (2) the aspartate 7 and lysine 62 residues in the N-terminus of hNET determine the higher affinities of substrates for the hNET than the rNET; and (3) the lysine 62 and glutamine 612 residues in the N- and C-termini, respectively, of hNET Lire determinants of the higher cocaine affinity for the hNET than rNET.

Differences in benthic fauna and sediment among mangrove (Avicennia marina var. australasica) stands of different ages in New Zealand

Management of coastal environments requires understanding of ecological relationships among different habitats and their biotas. Changes in abundance and distribution of mangroves, like those of other coastal habitats, have generally been interpreted in terms of changes in biodiversity or fisheries resources within individual stands. In several parts of their range, anthropogenically increased inputs of sediment to estuaries have led to the spread of mangroves. There is, however, little information on the relative ecological properties, or conservational values, of stands of different ages. The faunal, floral and sedimentological properties of mangrove (Avicennia marina var. australasica) stands of two different ages in New Zealand has been compared. Older (>60 years) and younger (3-12 years) stands showed clear separation on the basis of environmental characteristics and benthic macrofauna. Numbers of faunal taxa were generally larger at younger sites, and numbers of individuals of several taxa were also larger at these sites. The total number of individuals was not different between the two age-classes, largely due to the presence of large numbers of the surface-living gastropod Potamopyrgus antipodarum at the older sites. It is hypothesized that as mangrove stands mature, the focus of faunal diversity may shift from the benthos to animals living on the mangrove plants themselves, such as insects and spiders, though these were not included in the present study. Differences in the faunas were coincident with differences in the nature of the sediment. Sediments in older stands were more compacted and contained more organic matter and leaf litter. Measurement of leaf chemistry suggested that mangrove plants in the younger stands were able to take up more N and P than those in the older stands. (C) 2003 Elsevier Science B.V. All rights reserved.

Bridging the gap between different statistical approaches: An integrated framework for modelling

This paper proposes a template for modelling complex datasets that integrates traditional statistical modelling approaches with more recent advances in statistics and modelling through an exploratory framework. Our approach builds on the well-known and long standing traditional idea of 'good practice in statistics' by establishing a comprehensive framework for modelling that focuses on exploration, prediction, interpretation and reliability assessment, a relatively new idea that allows individual assessment of predictions. The integrated framework we present comprises two stages. The first involves the use of exploratory methods to help visually understand the data and identify a parsimonious set of explanatory variables. The second encompasses a two step modelling process, where the use of non-parametric methods such as decision trees and generalized additive models are promoted to identify important variables and their modelling relationship with the response before a final predictive model is considered. We focus on fitting the predictive model using parametric, non-parametric and Bayesian approaches. This paper is motivated by a medical problem where interest focuses on developing a risk stratification system for morbidity of 1,710 cardiac patients given a suite of demographic, clinical and preoperative variables. Although the methods we use are applied specifically to this case study, these methods can be applied across any field, irrespective of the type of response.