Effect of chronic consumption of pistachios (Pistacia vera L.) on glucose metabolism in pre-diabetics and type 2 diabetics: A systematic review.
Priscila Vaz de Melo RibeiroA SilvaA P AlmeidaH H HermsdorffR C AlfenasPublished in: Critical reviews in food science and nutrition (2017)
Pistachio is a nut with high polyunsaturated fatty acids (PUFA), monounsaturated fatty acids (MUFA), polyphenols and carotenoids content, and the synergism between these compounds appears to affect glucose metabolism. In this systematic review we analyzed studies in which the effect of chronic consumption of pistachio on markers of glucose metabolism was evaluated in pre-diabetic and type 2 diabetics. We used the PubMed, Scopus, Cochrane and Lilacs databases. The research terms used were pistachio, pre-diabetes, type 2 diabetes mellitus, insulin resistance, blood glucose, hyperglycemia and glycated hemoglobin (HbA1c). Four articles were selected, of which three tested the intake of 50 to 57 g of pistachio/day and one 20% of the daily caloric intake, for a period of 1 to 4 months. Studies reported a decrease in fasting blood glucose, insulinemia, HOMA-IR, and fructosamine, but no change in HbA1c. Lower concentrations of miR-192 and miR-375 were also found, which correlated positively with HOMA-IR. The synergism between PUFA, MUFA, polyphenols and carotenoids present in pistachios can modulate specific miRNA, increasing insulin sensitivity through the PI3K-AKT signaling pathway. This modulation can be used as a tool to monitor the response to interventions, favoring the prevention and treatment of complications related to diabetes.
Keyphrases
- glycemic control
- blood glucose
- type diabetes
- insulin resistance
- systematic review
- cell proliferation
- long non coding rna
- signaling pathway
- weight loss
- long noncoding rna
- fatty acid
- physical activity
- case control
- adipose tissue
- skeletal muscle
- polycystic ovary syndrome
- metabolic syndrome
- meta analyses
- cardiovascular disease
- high fat diet
- weight gain
- risk factors
- pi k akt
- randomized controlled trial
- blood pressure
- body mass index
- big data
- machine learning
- combination therapy
- red blood cell
- diabetic rats