Metabolic Syndrome Features: Is There a Modulation Role by Mineral Water Consumption? A Review.
Daniela Costa-VieiraRosário MonteiroMaria João MartinsPublished in: Nutrients (2019)
Metabolic syndrome (MetSyn) promotes, among others, the development of atherosclerotic cardiovascular disease and diabetes. Its prevalence increases with age, highlighting the relevance of promoting precocious MetSyn primary prevention and treatment with easy-to-implement lifestyle interventions. MetSyn features modulation through mineral water consumption was reviewed on Pubmed, Scopus and Google Scholar databases, using the following keywords: metabolic syndrome, hypertension, blood pressure (BP), cholesterol, triglycerides, apolipoprotein, chylomicron, very low-density lipoprotein, low-density lipoprotein, high-density lipoprotein (HDL), glucose, insulin, body weight, body mass index, waist circumference (WC), obesity and mineral(-rich) water. Twenty studies were selected: 12 evaluated BP, 13 assessed total-triglycerides and/or HDL-cholesterol, 10 analysed glucose and/or 3 measured WC. Mineral waters were tested in diverse protocols regarding type and composition of water, amount consumed, diet and type and duration of the study. Human and animal studies were performed in populations with different sizes and characteristics. Distinct sets of five studies showed beneficial effects upon BP, total-triglycerides, HDL-cholesterol and glucose. WC modulation was not reported. Minerals/elements and active ions/molecules present in mineral waters (and their pH) are crucial to counterbalance their inadequate intake and body status as well as metabolic dysfunction and increased diet-induced acid-load observed in MetSyn. Study characteristics and molecular/physiologic mechanisms that could explain the different effects observed are discussed. Further studies are warranted for determining the mechanisms involved in the putative protective action of mineral water consumption against MetSyn features.
Keyphrases
- low density lipoprotein
- metabolic syndrome
- high density
- body mass index
- body weight
- cardiovascular disease
- blood pressure
- insulin resistance
- type diabetes
- physical activity
- weight gain
- weight loss
- uric acid
- case control
- blood glucose
- cardiovascular risk factors
- endothelial cells
- coronary artery disease
- adipose tissue
- oxidative stress
- glycemic control
- skeletal muscle
- deep learning
- quantum dots
- big data
- cardiovascular events
- hypertensive patients