Intracerebroventricular injections of cholecystokinin octapeptide suppress feeding in rats--pharmacological characterization of this action

Cholecystokinin octapeptide (CCK-8), administered intracerebroventricularly (i.c.v.), will suppress feeding. The aim of the present study was to determine the pharmacological characteristics of this satiety inducing effect in rats. For this purpose, we employed a feeding bioassay model in 24 h fasted rats and examined the effects of CCK-8 and a variety of structurally related analogs on latency to feed after i.c.v. injection and on the amount of food and water consumed as measured after the initiation of feeding in sequential 20-min epochs for 1 h. CCK-8, given in doses of 0.1, 1 and 10 nmol, produced a dose-dependent increase in feeding latency and a reduction of food intake during the first 20 min after initiation of feeding. Food intake during the next 40 min and water consumption were not altered. Plasma levels of CCK-like immunoreactivity after an i.c.v. injection of a dose of CCK-8 which blocked feeding (10 nmol) rose insignificantly from 117 to 125 pg/ml. In contrast, at the minimally effective dose of CCK-8 after i.v. administration (10 nmol), which also produced an inhibition of feeding, the plasma level was 1430 pg/ml. This difference indicates that plasma levels of CCK after i.c.v. CCK-8 are not adequate to produce the observed feeding suppression and suggests that the effects of i.c.v. CCK-8 are not mediated by a peripheral redistribution. Systematic dose response studies revealed the following rank order of potencies: CCK-8 greater than or equal to G-17 II much greater than CCK-8 NS = G-17 I greater than or equal to CCK-4 = CCK 26-29 = 0. Only gastrin-17 II (sulfated) produced an effect comparably significant to CCK-8. I.c.v. proglumide at 2500 nmol failed to modify the effects of CCK-8 at 10 nmol after i.c.v. injection. These data demonstrate that the structural requirements for feeding suppressive activity in rat brain are the carboxyterminus with a sulfated tyrosine residue, located 6 to 7 residues from the carboxyterminus, as present in CCK-8 and gastrin-17 II.     

Positive contrast in the detection of magnetically labeled cells by MRI--in vitro experiments]

PURPOSE: Magnetically labeled cells (MLC) cause local field inhomogenities within the single voxels as well as on a macroscopic scale. The related Larmor frequency shift near MLC was exploited to obtain bright visualization applying spectral selective saturation (SSS). METHODS: SK-Mel28 cells were labeled with the superparamagnetic iron oxide contrast agent SHU 555A. Low cell concentrations (0, 5, 20, 30, 50, 75, and 150 MLC/microl) and high cell concentrations (10 x 10(3), 30 x 10(3), 60 x 10(3), and 100 x 10(3) MLC/10 microl) were examined at 3 Tesla. Shimming and frequency adjustment to spectrometer reference frequency v0 was performed with the built in routine of the scanner. A 2D spin echo sequence with broadband excitation and refocusing pulses was used (BWex = 1.000 Hz). Prior to each TR, a non-selective saturation sinc pulse centred at v0 was applied. Bandwidth (BWsat) of this pulse was varied from 100 Hz to 800 Hz in logarithmic steps. RESULTS: Without SSS the highest value of Crel (i.e. relative MR contrast between labeled to unlabeled samples) was found for 150 MLC/microl and was given by 10%. Applying SSS led to positive contrast of the complete labeled volumes and to remarkable improvements in Crel. With increasing cell concentrations Crel raised to maximum, that was given by 52% (BWsat=100 Hz) and 28% (BWsat = 200 Hz) found for 75 MLC/microl. For 150 MLC/microl Crel decreased. A contrast clarification could also be detected near cell aggregations despite saturation. CONCLUSION: Using SSS positive contrast can be achieved for voxels containing MLC and voxels close to cell clusters. Under in vitro conditions positive contrast improved the sensitivity to detect MLC as compared to negative contrast imaging techniques. It seems reasonable, that positive contrast approaches can be applied in vivo as the underlying physical mechanism are comparable.     

Pleiotropic effects of a chromosome 3 locus on speech-sound disorder and reading

Speech-sound disorder (SSD) is a complex behavioral disorder characterized by speech-sound production errors associated with deficits in articulation, phonological processes, and cognitive linguistic processes. SSD is prevalent in childhood and is comorbid with disorders of language, spelling, and reading disability, or dyslexia. Previous research suggests that developmental problems in domains associated with speech and language acquisition place a child at risk for dyslexia. Recent genetic studies have identified several candidate regions for dyslexia, including one on chromosome 3 segregating in a large Finnish pedigree. To explore common genetic influences on SSD and reading, we examined linkage for several quantitative traits to markers in the pericentrometric region of chromosome 3 in 77 families ascertained through a child with SSD. The quantitative scores measured several processes underlying speech-sound production, including phonological memory, phonological representation, articulation, receptive and expressive vocabulary, and reading decoding and comprehension skills. Model-free linkage analysis was followed by identification of sib pairs with linkage and construction of core shared haplotypes. In our multipoint analyses, measures of phonological memory demonstrated the strongest linkage (marker D3S2465, P=5.6 x 10(-5), and marker D3S3716, P=6.8 x 10(-4)). Tests for single-word decoding also demonstrated linkage (real word reading: marker D3S2465, P=.004; nonsense word reading: marker D3S1595, P=.005). The minimum shared haplotype in sib pairs with similar trait values spans 4.9 cM and is bounded by markers D3S3049 and D3S3045. Our results suggest that domains common to SSD and dyslexia are pleiotropically influenced by a putative quantitative trait locus on chromosome 3.     

Graph models of habitat mosaics

Graph theory is a body of mathematics dealing with problems of connectivity, flow, and routing in networks ranging from social groups to computer networks. Recently, network applications have erupted in many fields, and graph models are now being applied in landscape ecology and conservation biology, particularly for applications couched in metapopulation theory. In these applications, graph nodes represent habitat patches or local populations and links indicate functional connections among populations (i.e. via dispersal). Graphs are models of more complicated real systems, and so it is appropriate to review these applications from the perspective of modelling in general. Here we review recent applications of network theory to habitat patches in landscape mosaics. We consider (1) the conceptual model underlying these applications; (2) formalization and implementation of the graph model; (3) model parameterization; (4) model testing, insights, and predictions available through graph analyses; and (5) potential implications for conservation biology and related applications. In general, and for a variety of ecological systems, we find the graph model a remarkably robust framework for applications concerned with habitat connectivity. We close with suggestions for further work on the parameterization and validation of graph models, and point to some promising analytic insights.     

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Die Gene vonAntirrhinum majus. III

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Referate

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