Effect on blood lipids and body composition of a high-fat (MUFA) and high-fiber diet: A case-control study.

Metabolic Syndrome (MetS) is a constellation of risk factors including abdominal obesity, high triglycerides, low HDL cholesterol (HDL-C), elevated blood pressure, and elevated fasting glucose. In Spain, according to WHO criteria, the MetS prevalence is shown to be 32% in men and 29% in women. The role of dietary habits is one of the main therapeutic strategies for the management of MetS but the most effective dietary pattern has not been established yet. This study aimed to analyze the effect of on body composition, serum lipids, and MetS components of a high-MUFA and high-fiber diet (HMFD). A case-control study was performed considering 40 cohabiting women. Participants were randomly assigned to HMFD group or high mono-unsaturated diet (HMD) group to receive one of the two proposed dietary interventions. All data (serum lipids, blood pressure, height, weight, body composition, and waist circumference) were collected fasting at baseline, 55, 98, and 132 days. The HMFD group showed higher decrease in waist circumference than in the HMD group. LDL-C dropped in both groups. Triglycerides in the HMFD group dropped during the intervention, but once the intervention was over, they returned to baseline values. The mean systolic blood pressure was lower in HMFD group. A HMFD from a weekly consumption of processed meat (Torrezno de Soria) deeply fried in extra virgin olive oil in combination with vegetables logged in a Mediterranean diet can improve MetS risk factors in healthy overweight women.

Prognostic Significance of Amino Acid and Biogenic Amines Profiling in Chronic Kidney Disease.

There is a pressing need for more precise biomarkers of chronic kidney disease (CKD). Plasma samples from 820 subjects [231 with CKD, 325 with end-stage kidney disease (ESKD) and 264 controls] were analyzed by liquid chromatography with tandem mass spectrometry (LC-MS/MS) to determine a metabolic profile of 28 amino acids (AAs) and biogenic amines to test their value as markers of CKD risk and progression. The kynurenine/tryptophan ratio showed the strongest correlation with estimated glomerular filtration rate values (coefficient = -0.731, p < 0.0001). Models created with orthogonal partial least squares-discriminant analysis (OPLS-DA) containing the metabolic signature showed a high goodness of fit and predictability for controls/CKD (R2X:0.73:R2Y:0.92:Q2:0.92, p < 0.0001) and lower values for CKD/ESKD (R2X:0.56:R2Y:0.59:Q2:0.55, p < 0.0001). Based on generated VIP scores, the most relevant markers for segregating samples into control/CKD and CKD/ESKD groups were citrulline (1.63) and tryptophan (1.47), respectively. ROC analysis showed that the addition of the metabolic profile to a model including CKD classic risk factors improved the AUC from 86.7% (83.6-89.9) to 100% (100-100) for CKD risk (p < 0.0001) and from 63.0% (58.2-67.8) to 96.5% (95.3-97.8) for the risk of progression from CKD to ESKD (p < 0.0001). Plasma concentrations of AAs and related amines may be useful as diagnostic biomarkers of kidney disease, both for CKD risk and for progression of CKD patients to ESKD.