We analysed the allelic and genotypic frequencies of three restriction fragment length polymorphisms in the region of chromosome 11 encoding apolipoprotein AI and CIII genes in a free-living population from South Italy (Calabria). These markers are located at -2500 and -78 bp from the transcription start site of apolipoprotein AI gene (XmnI and MspI, respectively), and in the 3' untranslated region of apolipoprotein CIII gene (SstI). XmnI and SstI label rare alleles (X2 and S2 indicate the presence of the site), whereas the absence of the MspI site (because of a G to A transition) marks the rare allele, M2. Pairwise linkage disequilibrium analysis was determined. Two significant non-random associations were found: a positive disequilibrium between ApoA1/XmnI and ApoA1/MspI markers (P < 0.0001), and a negative disequilibrium between ApoA1/XmnI and ApoC3/SstI markers (P < 0.05). Statistical analysis showed a significant difference in the S2-M2 haplotype frequency between the group of subjects with serum cholesterol levels in the highest decile (P < 0.005) and the group with serum cholesterol levels below the highest decile. The allelic frequency for each locus showed no significant difference between the two groups for all other metabolic parameters, included total cholesterol serum levels. These haplotypes are a more precise measure of genetic variations in the apolipoprotein cluster and their use should allow the mapping of mutations responsible for high serum cholesterol levels.

The frequency and distribution of angiotensin converting enzyme insertion/deletion (ACE I/D) polymorphism, and its association with other known risk factors for coronary atherosclerosis, has been studied, in a normal south Italian population. Subjects homozygous for deletion showed elevated fasting blood glucose levels when compared with subjects homozygous for insertion. The difference was consistent with an increased number of type 2 diabetics among the former group of subjects.

We have previously reported that a potent new beta-blocker, tertatolol, when given at therapeutic doses to healthy volunteers, rapidly reduced the number of human mononuclear leukocyte beta-receptors. In the present study, the mechanism of receptor regulation by beta-antagonists incubated with target cells in vitro was investigated. Two different cell types (human mononuclear leukocytes and S49 murine lymphoma cells) were used, and beta-adrenergic receptors were measured using either the hydrophilic ligand 3H-CGP 12177 (specific for surface receptors) or lipophilic 125I-pindolol (which measures total receptors). In a comparison between beta-blockers, tertatolol and bopindolol, but not propranolol and pindolol, were found to rapidly (1 hour at 37 degrees C) reduce the number of beta-adrenergic receptors. This was paralleled by a reduction in isoproterenol-stimulated cyclic AMP accumulation. The reduction in receptors was the same whether surface or total receptors were measured; thus, it was not due to receptor sequestration. This effect was not caused by partial agonist activity (bopindolol is a weak partial agonist); in parallel experiments, tertatolol and bopindolol, but not pindolol (potent partial agonist) and isoproterenol (full agonist), reduced beta-adrenergic receptors. Finally, this effect was not due to irreversible binding: the receptor reduction induced by the irreversible blocker bromo-acetyl-alprenolol-methane (BAAM) was stable for several hours, while the effect of tertatolol and bopindolol was slowly reversed over the same time course. We suggest that tertatolol and bopindolol have two effects on beta-adrenergic receptors: they bind competitively, and then they modify the receptors so that they are no longer available for binding by ligands or catecholamines.(ABSTRACT TRUNCATED AT 250 WORDS)

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Geographical Information Systems, i.e. GIS, are used to help communities in managing data related to their geographical location. Associating textual data with spatial extension and time can be crucial to understand and improve human health. Exploiting available data and extracting new knowledge can lead to disease distribution and migration models (e.g., epidemiology).In this paper we report the experience of using GIS technologies to analyze clinical data containing TSH values about newborn in a spatially delimited region. TSH neonatal screening has been performed on blood of newborn with the aim to discover diseases at an early stage and to study the detect any possible arise of hypothyroidism. We present a flexible geographical system called Geomedica which is being used to analyze such data according to a two steps approach: (i ) study of the last 10 years of data distribution in an Italian region with over 18 thousands newborn per year and (ii ) identify possible clusters by querying and projecting results geometry on a thematic map.Queries performed on the available dataset were able to correctly correlate health data about patients with geographical features (e.g. points of interest, boundaries, coastline vectors) and to visualize diseases distributions on a geographical map. However, the proposed queries may be considered as an important starting point for similar environment dependent pathologies.