1. Lipid peroxidation and hepatic fibrogenesis were investigated in 25 carbon tetrachloride-treated rats and in 25 control animals. Rats were further divided into two groups to receive either a standard diet or one supplemented with zinc. From each group, animals were killed at weeks 3 and 18 of the experiment for histological and biochemical assessments which included hepatic lipid peroxide and collagen concentrations and plasma zinc concentration as well as the hepatic activities of proline hydroxylase and collagenase. 2. Results indicated that oral zinc supplementation was associated with a decrease in lipid peroxidation (mean 51%; P < 0.05), collagen deposition (mean 32%; P < 0.001) and proline hydroxylase activity (mean 30%; P < 0.05) at week 18, together with an increase in collagenase activity (mean 208%; P < 0.01) at week 3, in carbon tetrachloride-treated rats. 3. There was a significant direct correlation between lipid peroxidation and proline hydroxylase activity in carbon tetrachloride-treated rats (r = 0.52; P < 0.01) and also a significant inverse correlation between lipid peroxidation and plasma zinc concentration in these animals (r = -0.62; P < 0.001). 4. These findings are consistent with the hypothesis that hepatic lipid peroxidation plays an important role in the aetiology of hepatic fibrogenesis and that zinc mitigates the process.

This study was to investigate the prevalence of dementia in an aging population. A two-phase model was used to obtain information on the socio-demographic, medical and cognitive status of subjects over 65 years of age (n = 516), resident on December 31, 1990, within the general population (n = 3,457) of La Selva del Camp. A diagnostic protocol, following the criteria of DSM-III, was designed for application to all subjects. We diagnosed 64 subjects with dementia, which represented a prevalence of 14.9% of which 3.2% was classified as severe, 4.5% as moderate and 7.3% as slight. The prevalence by age and sex showed a large increase with age and a higher prevalence in females, although the latter was not statistically significant.

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Determining the concentration and size of lipoprotein complexes is very important due to their role in cardiovascular diseases and metabolic disorders. However, standard methods for lipoprotein fractionation are manual and time consuming and cannot be used as standard diagnostic tools. Because different subclasses of lipoproteins have different radii and, hence, different diffusion velocities, we propose a fast and reliable method that uses 2D diffusion-edited 1 H NMR spectroscopy to acquire a set of 2D spectra of plasma samples, followed by a surface fitting algorithm based on Lorentzian functions to estimate the sizes and the relative proportions of different lipoprotein subclasses. We were able to demonstrate that the derived sizes and positions related to the Lorentzian functions follow an exponential relationship for normolipidaemic and dislipaemic samples with coefficients of determination (r 2 ) of 0.85 and 0.81, respectively. Moreover, we found a linear relationship between the width and size of the Lorentzian functions for normolipidaemic samples (r 2 = 0.88) while for dislipaemic samples this relation was nonlinear (r 2 = 0.62). Dividing our samples set into four different lipoprotein profiles (normal lipid values, low HDL/LDL ratio, high triglycerides values and both risk factors) and using principal component analysis (PCA) followed by multivariate analysis of variance (MANOVA), our method was able to statistically discriminate between those groups, with p-values of 0.0016, 0.0006, \1e -4 and 0.0035, respectively. These parameters are characteristic and indicative of different lipoprotein profiles and can be used to distinguish between normolipidaemic, hypercholesterolaemic, hypertriglyceridaemic and chylomicronaemic profiles.