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| 1 | Iron homeostasis and H63D mutations in alcoholics with and without liver disease显示文摘AIM: To evaluate the prevalence of HFE gene mutation and indices of disturbed iron homeostasis in alcoholics with and without liver disease.METHODS: One hundred and fifty-three heavy drinkers (defined as alcohol consumption > 80 g/d for at least 5 years) were included in the study. These comprised 78 patients with liver disease [liver disease alcoholics (LDA)] in whom the presence of liver disease was confirmed by liver biopsy or clinical evidence of hepatic decompensation, and 75 subjects with no evidence of liver disease, determined by normal liver tests on two occasions [non-liver disease alcoholics (NLDA)], were consecutively enrolled. Serum markers of iron status and HFE C282Y and H63D mutations were determined. HFE genotyping was compared with data obtained in healthy blood donors from the same geographical area.RESULTS: Gender ratio was similar in both study groups. LDA patients were older than NLDA patients (52 ± 10 years vs 48 ± 11 years, P = 0.03). One third and one fi fth of the study population had serum transferrin saturation (TS) greater than 45% and 60% respectively. Serum iron levels were similar in both groups. However, LDA patients had higher TS (51 ± 27 vs 36 ± 13, P < 0.001) and ferritin levels (559 ± 607 ng/mL vs 159 ± 122 ng/mL, P < 0.001), and lower total iron binding capacity (TIBC) (241 ± 88 μg/dL vs 279 ± 40 μg/dL, P = 0.001). The odds ratio for having liver disease with TS greater than 45% was 2.20 (95% confi dence interval (CI): 1.37-3.54). There was no difference in C282Y allelic frequency between the two groups. However, H63D was more frequent in LDA patients (0.25 vs 0.16, P = 0.03). LDA patients had a greater probability of carrying at least one HFE mutation than NLDA patients (49.5% vs 31.6%, P = 0.02). The odds ratio for LDA in patients with H63D mutation was 1.57 (95% CI: 1.02-2.40).CONCLUSION: The present study confirms the presence of iron overload in alcoholics, which was more severe in the subset of subjects with liver disease, in parallel with an increased frequency of H63D HFE mutation. | Mariana Verdelho Machado Paula Ravasco Alexandra Martins Maria Rosário Almeida Maria Ermelinda Camilo Helena Cortez-Pinto | 2009 | World Journal of Gastroenterology2009，15，1： | 3 |
| 2 | Fuzzy K -means clustering algorithms for interval-valued data based on adaptive quadratic distances显示文摘 | Francisco de A.T. de Carvalho Camilo P. Tenório | 2010 | Fuzzy Sets and Systems2010，，23： | 1 |
| 3 | Partial correlation analyses of global diffusion tensor imaging-derived metrics in glioblastoma multiforme: Pilot study显示文摘AIM: To determine existing correlates among diffusion tensor imaging(DTI)-derived metrics in healthy brains and brains with glioblastoma multiforme(GBM). METHODS: Case-control study using DTI data from brain magnetic resonance imaging of 34 controls(mean, 41.47; SD, ± 21.94 years; range, 21-80 years) and 27 patients with GBM(mean, SD; 48.41 ± 15.18 years; range, 18-78 years). Image postprocessing using FSL software calculated eleven tensor metrics: fractional(FA) and relative anisotropy; pure isotropic(p) and anisotropic diffusions(q), total magnitude of diffusion(L); linear(Cl), planar(Cp) and spherical tensors(Cs); mean(MD), axial(AD) and radial diffusivities(RD). Partial correlation analyses(controlling the effect of ageand gender) and multivariate Mancova were performed.RESULTS: There was a normal distribution for all metrics. Comparing healthy brains vs brains with GBM, there were significant very strong bivariate correlations only depicted in GBM: [FA?Cl(+)], [FA?q(+)], [p?AD(+)], [AD?MD(+)], and [MD?RD(+)]. Among 56 pairs of bivariate correlations, only seven were significantly different. The diagnosis variable depicted a main effect [F-value(11, 23) = 11.842, P ≤ 0.001], with partial eta squared = 0.850, meaning a large effect size; age showed a similar result. The age also had a significant influence as a covariate [F(11, 23) = 10.523, P < 0.001], with a large effect size(partial eta squared = 0.834).CONCLUSION: DTI-derived metrics depict significant differences between healthy brains and brains with GBM, with specific magnitudes and correlations. This study provides reference data and makes a contribution to decrease the underlying empiricism in the use of DTI parameters in brain imaging. | David Cortez-Conradis Camilo Rios Sergio Moreno-Jimenez Ernesto Roldan-Valadez Ernesto Roldan-Valadez | 2015 | World Journal of Radiology2015，7，11： | 1 |
| 4 | Global diffusion tensor imaging derived metrics differentiate glioblastoma multiforme vs. normal brains by using discriminant analysis: introduction of a novel whole-brain approach显示文摘 | Ernesto Roldan-Valadez Camilo Rios David Cortez-Conradis Rafael Favila Sergio Moreno-Jimenez | 2014 | Radiology and Oncology2014，，2： | 1 |
| 5 | Fuzzy K-means clustering algorithms for inteval-valued data basedon adaptive quadratic distaces显示文摘 | de Carvalho Francisco de A T Tenório Camilo P | 2010 | Fuzzy Sets and Sys-tems2010，161，23： | 1 |
| 6 | Diffusion tensor imaging-derived measures of fractional anisotropy across the pyramidal tract are influenced by the cerebral hemisphere but not by gender in young healthy volunteers: a split-plot factorial analysis of variance显示文摘 | Ernesto Roldan-Valadez Edgar Rios-Piedra Rafael Favila Sarael Alcauter Camilo Rios | 2012 | Chinese Medical Journal2012，，12： | 0 |
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