2 resultados para Apolipoprotéine CIII

em DigitalCommons@The Texas Medical Center


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The copines, named and first described by Creutz et al. (1998), comprise a two C2 domain-containing protein family that can aggregate phosphatidylserine membranes in a calcium-dependent manner. Although no enzymatic function has been attributed to copines, their carboxyl terminus shows homology to the A domain found in integrins that allows binding of magnesium ions. The secondary structure of A domains resembles a Rossmann fold, which can bind dinucleotides and is present in a number of intracellular enzymes. Due to a crossreacting activity of Mik b 1, an antibody to the IL-2R b chain, we were able to serendipitously clone human copine III (CIII). CIII is 65% identical to copine I (CI) and the 5 kb CIII transcript is expressed ubiquitously as determined by a multitissue Northern blot. A polyclonal antibody generated against the carboxyl terminus of CIII recognized CIII in immunoblots and immunoprecipitations. Phosphorylation of CIII was observed on serine and threonine residues, as determined by phosphoamino acid analysis. ^ Experiments were designed to determine whether or not any enzymatic activity, specifically kinase activity, was intrinsic to or associated with CIII. In vitro and in gel kinase assays were performed using transfected HA-tagged CI and CIII, immunoprecipitated endogenous CIII and purified endogenous CIII. The exogenous substrate MBP was phosphorylated in all in vitro kinase assays containing CIII protein purification and column chromatography expertise with me. ^

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Body fat distribution is a cardiovascular health risk factor in adults. Body fat distribution can be measured through various methods including anthropometry. It is not clear which anthropometric index is suitable for epidemiologic studies of fat distribution and cardiovascular disease. The purpose of the present study was to select a measure of body fat distribution from among a series of indices (those traditionally used in the literature and others constructed from the analysis) that is most highly correlated with lipid-related variables and is independent of overall fatness. Subjects were Mexican-American men and women (N = 1004) from a study of gallbladder disease in Starr County, Texas. Multivariate associations were sought between lipid profile measures (lipids, lipoproteins, and apolipoproteins) and two sets of anthropometric variables (4 circumferences and 6 skinfolds). This was done to assess the association between lipid-related measures and the two sets of anthropometric variables and guide the construction of indices.^ Two indices emerged from the analysis that seemed to be highly correlated with lipid profile measures independent of obesity. These indices are: 2*arm circumference-thigh skinfold in pre- and post-menopausal women and arm/thigh circumference ratio in men. Next, using the sum of all skinfolds to represent obesity and the selected body fat distribution indices, the following hypotheses were tested: (1) state of obesity and centrally/upper distributed body fat are equally predictive of lipids, lipoproteins and apolipoproteins, and (2) the correlation among the lipid-related measures is not altered by obesity and body fat distribution.^ With respect to the first hypothesis, the present study found that most lipids, lipoproteins and apolipoproteins were significantly associated with both overall fatness and anatomical location of body fat in both sex and menopausal groups. However, within men and post-menopausal women, certain lipid profile measures (triglyceride and HDLT among post-menopausal women and apos C-II, CIII, and E among men) had substantially higher correlation with body fat distribution as compared with overall fatness.^ With respect to the second hypothesis, both obesity and body fat distribution were found to alter the association among plasma lipid variables in men and women. There was a suggestion from the data that the pattern of correlations among men and post-menopausal women are more comparable. Among men correlations involving apo A-I, HDLT, and HDL$\sb2$ seemed greatly influenced by obesity, and A-II by fat distribution; among post-menopausal women correlations involving apos A-I and A-II were highly affected by the location of body fat.^ Thus, these data point out that not only can obesity and fat distribution affect levels of single measures, they also can markedly influence the pattern of relationship among measures. The fact that such changes are seen for both obesity and fat distribution is significant, since the indices employed were chosen because they were independent of one another. ^