University of Cagliari

About: University of Cagliari is a education organization based out in Cagliari, Italy. It is known for research contribution in the topics: Population & Dopamine. The organization has 11029 authors who have published 29046 publications receiving 771023 citations. The organization is also known as: Università degli Studi di Cagliari & Universita degli Studi di Cagliari.

Vehicular traffic, crowds, and swarms: From kinetic theory and multiscale methods to applications and research perspectives

Abstract: This paper presents a review and critical analysis on the modeling of the dynamics of vehicular traffic, human crowds and swarms seen as living and, hence, complex systems. It contains a survey of ...

The genetically isolated populations of Finland and sardinia may not be a panacea for linkage disequilibrium mapping of common disease genes.

Abstract: The choice of which population to study in the mapping of common disease genes may be critical. Isolated founder populations, such as that found in Finland, have already proved extremely useful for mapping the genes for specific rare monogenic disorders and are being used in attempts to map the genes underlying common, complex diseases. But simulation results suggest that, under the common disease-common variant hypothesis, most isolated populations will prove no more useful for linkage disequilibrium (LD) mapping of common disease genes than large outbred populations. There is very little empirical data to either support or refute this conclusion at present. Therefore, we evaluated LD between 21 common microsatellite polymorphisms on chromosome 18q21 in 2 genetic isolates (Finland and Sardinia) and compared the results with those observed in two mixed populations (United Kingdom and United States of America). Mean levels of LD were similar across all four populations. Our results provide empirical support for the expectation that genetic isolates like Finland and Sardinia will not prove significantly more valuable than general populations for LD mapping of common variants underlying complex disease.

Bone loss is correlated to the severity of growth hormone deficiency in adult patients with hypopituitarism.

Abstract: Reduced bone mineral density (BMD) has been reported in patients with isolated GH deficiency (GHD) or with multiple pituitary hormone deficiencies (MPHD). To investigate whether the severity of GHD was correlated with the degree of bone mass and turnover impairment, we evaluated BMD at the lumbar spine and femoral neck; circulating insulin-like growth factor I (IGF-I), IGF-binding protein-3 (IGFBP-3), and osteocalcin levels, and urinary cross-linked N-telopeptides of type I collagen (Ntx) levels in 101 adult hypopituitary patients and 35 sex- and age-matched healthy subjects. On the basis of the GH response to arginine plus GHRH (ARG+/-GHRH), patients were subdivided into 4 groups: group 1 included 41 patients with a GH peak below 3 microg/L (0.9 +/- 0.08 microg/L), defined as very severe GHD; group 2 included 25 patients with a GH peak between 3.1-9 microg/L (4.7 +/- 0.4 microg/L), defined as severe GHD; group 3 included 18 patients with a GH peak between 9.1-16.5 microg/L (11.0 +/- 0.3 microg/L), defined as partial GHD; and group 4 included 17 patients with a GH peak above 16.5 microg/L (28.3 +/- 4.3 microg/L), defined as non-GHD. In all 35 controls (group 5), the GH response after ARG+/-GHRH was above 16.5 microg/L (40.7 +/- 2.2 microg/L). In patients in group 1, circulating IGF-I (P < 0.001), IGFBP-3 (P < 0.05), osteocalcin (P < 0.001), and urinary Ntx levels (P < 0.001) were lower than those in group 3-5, which were not different from each other; the t score at the lumbar spine (-1.99 +/- 0.2) and that at the femoral neck (-1.86 +/- 0.3) were lower than those in groups 3 (-0.5 +/- 0.7, P < 0.01 and -0.3 +/- 0.7, P < 0.01, respectively), 4 (-0.5 +/- 0.2, P < 0.01 and -0.3 +/- 0.7, P < 0.01, respectively), and 5 (-0.5 +/- 0.2, P < 0.001 and 0.0 +/- 0.02, P < 0.001, respectively). In patients in group 2, circulating IGF-I and IGFBP-3 levels were not different from those in group 1, whereas the t scores at the lumbar spine (-1.22 +/- 0.3) and femoral neck (-0.9 +/- 0.3) were significantly higher and lower, respectively, than those in groups 1 and 5 (P < 0.05) but not those in groups 3 and 4, and serum osteocalcin and urinary Ntx levels were significant higher than those in group 1 and lower than those in groups 3-5 (P < 0.001). To evaluate the effect of isolated GHD vs. MPHD, patients were subdivided according to the number of their hormonal deficits, such as panhypopituitarism with (10 patients) or without (31 patients) diabetes insipidus, GHD with 1 or more additional pituitary deficit(s) (36 patients), isolated GHD (7 patients), 1-2 pituitary hormone deficit(s) without GHD (10 patients), and normal anterior pituitary function (7 patients). The t score at the lumbar spine and femoral neck and the biochemical parameters of bone turnover were not significantly different among the different subgroups with similar GH secretions. A significant correlation was found between the GH peak after ARG+GHRH and IGF-I, osteocalcin, urinary Ntx levels, and the t score at the lumbar spine, but not that at the femoral neck level. A significant correlation was also found between plasma IGF-I levels and the t score at the lumbar spine and femoral neck, serum osteocalcin, and urinary Ntx. Multiple correlation analysis revealed that the t score at the lumbar spine, but not that at the femoral neck, was more strongly predicted by plasma IGF-I levels (t = 3.376; P < 0.005) than by the GH peak after ARG+GHRH (t = -0.968; P = 0.338). In conclusion, a significant reduction of BMD associated with abnormalities of bone turnover parameters was found only in patients with very severe or severe GHD, whereas normal BMD values were found in non-GHD hypopituitary patients. These abnormalities were consistently present in all patients with GHD regardless of the presence of additional hormone deficits, suggesting that GHD plays a central role in the development of osteopenia in hypopituitary patients.

Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia

Abstract: Genome-wide association studies (GWAS) have previously identified 13 loci associated with risk of chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL). To identify additional CLL susceptibility loci, we conducted the largest meta-analysis for CLL thus far, including four GWAS with a total of 3,100 individuals with CLL (cases) and 7,667 controls. In the meta-analysis, we identified ten independent associated SNPs in nine new loci at 10q23.31 (ACTA2 or FAS (ACTA2/FAS), P=1.22×10(-14)), 18q21.33 (BCL2, P=7.76×10(-11)), 11p15.5 (C11orf21, P=2.15×10(-10)), 4q25 (LEF1, P=4.24×10(-10)), 2q33.1 (CASP10 or CASP8 (CASP10/CASP8), P=2.50×10(-9)), 9p21.3 (CDKN2B-AS1, P=1.27×10(-8)), 18q21.32 (PMAIP1, P=2.51×10(-8)), 15q15.1 (BMF, P=2.71×10(-10)) and 2p22.2 (QPCT, P=1.68×10(-8)), as well as an independent signal at an established locus (2q13, ACOXL, P=2.08×10(-18)). We also found evidence for two additional promising loci below genome-wide significance at 8q22.3 (ODF1, P=5.40×10(-8)) and 5p15.33 (TERT, P=1.92×10(-7)). Although further studies are required, the proximity of several of these loci to genes involved in apoptosis suggests a plausible underlying biological mechanism.