title: Effects of one serving of mixed nuts on serum lipids, insulin resistance and inflammatory markers in patients with the metabolic syndrome.
abstract: OBJECTIVE
  Knowledge of the effect of nut consumption on metabolic syndrome (MetS) components is limited. We assessed the effects of nut intake on adiposity, serum lipids, insulin resistance, and inflammatory biomarkers in patients with MetS.
  
  
  RESULTS
  In a randomized, parallel-group, 12-week feeding trial, 50 patients with MetS were given recommendations for a healthy diet with or without supplementation with 30 g/day of raw nuts (15 g walnuts, 7.5 g almonds and 7.5 g hazelnuts) (Nut and Control diet groups, respectively). Adiposity measures, serum lipids, insulin, Homeostasis Model Assessment (HOMA), interleukin-6 (IL-6) and other inflammatory biomarkers, and 48-h fecal fat were determined basally and at study's completion. Moderate weight loss, decreased adiposity, and lower blood pressure occurred similarly after both diets. The Control, but not the Nut diet, was associated with significant (P<0.05) reduction of LDL-cholesterol, with mean changes of -0.36 versus -0.13 mmol/L, respectively (between-group differences, P=0.154). The Nut diet reduced fasting insulin by 2.60 μU/mL (95% CI, -4.62 to -0.59) and HOMA-insulin resistance by 0.72 (-1.28 to -0.16) (P<0.05 versus Control diet; both). Among inflammatory markers, the Nut diet resulted in changes of median plasma IL-6 of -1.1 ng/L (-2.7 to -0.1; P=0.035 versus Control diet), but adjustment for weight loss attenuated the significance of the association. Stool fat decreased with the Control diet and slightly increased with the Nut diet (P<0.05 for between-group differences).
  
  
  CONCLUSIONS
  Patients with MetS show decreased lipid responsiveness but improved insulin sensitivity after daily intake of 30 g of mixed nuts.
authors.affiliation: Human Nutrition Unit, Hospital Universitari Sant Joan de Reus, IISPV, Rovira i Virgili University, Reus, Spain.
authors.forename: P
authors.initials: P
authors.lastname: Casas-Agustench
authors.forename: P
authors.initials: P
authors.lastname: López-Uriarte
authors.forename: M
authors.initials: M
authors.lastname: Bulló
authors.forename: E
authors.initials: E
authors.lastname: Ros
authors.forename: J J
authors.initials: JJ
authors.lastname: Cabré-Vila
authors.forename: J
authors.initials: J
authors.lastname: Salas-Salvadó
mesh_terms: D050154:Adiposity; D000328:Adult; D000704:Analysis of Variance; D015415:Biomarkers / Q000032:analysis; D001786:Blood Glucose; D008078:Cholesterol, LDL / Q000097:blood; D004032:Diet; D004734:Energy Metabolism; D005260:Female; D006801:Humans; D007249:Inflammation / Q000517:prevention & control; D007328:Insulin / Q000097:blood; D007333:Insulin Resistance; D015850:Interleukin-6 / Q000097:blood; D016014:Linear Models; D008297:Male; D024821:Metabolic Syndrome / Q000178:diet therapy*; D008875:Middle Aged; D009754:Nuts; D009765:Obesity / Q000378:metabolism
chemical_list: D015415:Biomarkers; D001786:Blood Glucose; D008078:Cholesterol, LDL; C508600:IL6 protein, human; D007328:Insulin; D015850:Interleukin-6