Under-reporting of energy intake is more prevalent in a healthy dietary pattern cluster

The aim of the present study was to determine whether under-reporting rates vary between dietary pattern Clusters. Subjects were sixty-five Brazilian women. During 3 weeks, anthropometric data were collected. total energy expenditure (TEE) was determined by the doubly labelled water method and diet Was Measured. Energy intake (El) and the daily frequency of consumption per 1000 kJ of twenty-two food groups were obtained from a FFQ. These frequencies were entered into a Cluster analysis procedure in order to obtain dietary patterns. Under-reporters were defined Lis those who did not lose more than 1 kg of body weight during the study and presented EI:TEE less than 0.82. Three dietary pattern clusters were identified and named according to their most recurrent food groups: sweet foods (SW). starchy foods (ST) and health), (H). Subjects from the healthy cluster had the lowest mean EI:TEE (SW = 0.86, ST = 0.71 and H = 0.58: P = 0.003) and EI - TEE (SW = -0.49 MJ, ST = - 3.20 MJ and H = -5.09 MJ; P = 0.008). The proportion of Under-reporters was 45.2 (95 % CI 35.5, 55.0) % in the SW Cluster: 58.3 (95 % CI 48.6, 68.0) % in the ST Cluster and 70.0 (95 % CI 61.0, 79) % in the H cluster (P=0.34). Thus, in Brazilian women, Under-reporting of El is not uniformly distributed among, dietary pattern clusters and tends to be more severe among subjects from the healthy cluster. This cluster is more consistent with both dietary guidelines and with what lay individuals usually consider `healthy eating`.

Autoantibody response to chromatographic fractions from oxidized LDL in unstable angina patients and healthy controls

Levels of autoantibodies to oxidized low-density lipoprotein (oxLDL) have been correlated to atherosclerosis; however, contradictory results have been shown. To better understand the role of autoantibodies to oxLDL in atherogenesis, and their potential to predict risk of developing coronary artery disease we investigated the antibody response of unstable angina (UA) patients and healthy controls against chromatographic separated fractions of oxLDL. Five major peaks were detected after chromatographic separation of oxLDL and 10 fractions were collected. Surprisingly, when the response to high molecular weight fractions was analysed, we observed a significant increase in the levels of autoantibodies in controls compared to UA. In contrast, when the autoantibody response to intermediate and low molecular weight fractions was analysed, we observed that the UA group showed consistently higher levels compared with controls. Our data demonstrates that within oxLDL there are major fractions that can be recognized by autoantibodies from either UA patients or healthy individuals, and that the use of total oxLDL as an antigen pool may mask the presence of some antigenic molecules and their corresponding antibodies. Further studies are needed, but the analysis of antibody profiles may indeed open up a novel approach for evaluation and prevention against atherosclerosis.