Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-08T21:35:23.541Z Has data issue: false hasContentIssue false

Dietary Approaches to Stop Hypertension (DASH): potential mechanisms of action against risk factors of the metabolic syndrome

Published online by Cambridge University Press:  30 July 2019

Masoumeh Akhlaghi*
Affiliation:
Nutrition Research Centre, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
*
*Corresponding author: Masoumeh Akhlaghi, email [email protected] and [email protected]
Rights & Permissions [Opens in a new window]

Abstract

The metabolic syndrome is a cluster of disorders dominated by abdominal obesity, hypertriacylglycerolaemia, low HDL-cholesterol, high blood pressure and high fasting glucose. Diet modification is a safe and effective way to treat the metabolic syndrome. Dietary Approaches to Stop Hypertension (DASH) is a dietary pattern rich in fruits, vegetables and low-fat dairy products, and low in meats and sweets. DASH provides good amounts of fibre, K, Ca and Mg, and limited quantities of total fat, saturated fat, cholesterol and Na. Although DASH was initially designed for the prevention or control of hypertension, using a DASH diet has other metabolic benefits. In the present review, the effect of each dietary component of DASH on the risk factors of the metabolic syndrome is discussed. Due to limited fat and high fibre and Ca content, individuals on the DASH diet are less prone to overweight and obesity and possess lower concentrations of total and LDL-cholesterol although changes in TAG and HDL-cholesterol have been less significant and available evidence in this regard is still inconclusive. Moreover, high amounts of fruit and vegetables in DASH provide great quantities of K, Mg and fibre, all of which have been shown to reduce blood pressure. K, Mg, fibre and antioxidants have also been effective in correcting glucose and insulin abnormalities. Evidence is provided from cross-sectional investigations, cohort studies and randomised controlled trials, and, where available, from published meta-analyses. Mechanisms are described according to human studies and, in the case of a lack of evidence, from animal and cell culture investigations.

Type
Review Article
Copyright
© The Author 2019

Introduction

The metabolic syndrome is a global public health problem( Reference Nolan, Carrick-Ranson and Stinear 1 ). Approximately 25 % of the world’s population has the metabolic syndrome( Reference O’Neill and O’Driscoll 2 ) although the prevalence varies from < 10 to 84 % depending on the region, urban or rural environment, population demographics such as sex, age, race and ethnicity, and the definition of the syndrome used( Reference Kaur 3 ). Reduced HDL-cholesterol was the most prevalent component of the metabolic syndrome, followed by elevated blood pressure, abdominal obesity, high TAG and high fasting glucose( Reference Nolan, Carrick-Ranson and Stinear 1 ).

CVD are chief consequences of the metabolic syndrome( Reference Tune, Goodwill and Sassoon 4 ). Each component of the metabolic syndrome is an independent risk factor for CVD and the combination of these risk factors elevates the incidence and severity of CVD( Reference Tune, Goodwill and Sassoon 4 ). However, a wide spectrum of other morbidities occurs concurrent with or consequent on the metabolic syndrome. These include, but not limited to, type 2 diabetes, non-alcoholic fatty liver disease( Reference Lim and Bernstein 5 ), polycystic ovary syndrome( Reference Lim, Kakoly and Tan 6 ), several types of cancer( Reference Micucci, Valli and Matacchione 7 ), inflammatory bowel syndrome( Reference Michalak, Mosińska and Fichna 8 ) and chronic kidney disease( Reference Nashar and Egan 9 ). Accordingly, the metabolic syndrome is an important risk factor for all-cause mortality( Reference Wu, Liu and Ho 10 ). A meta-analysis of prospective cohort studies showed that individuals with the metabolic syndrome have a 46 % increased risk of mortality compared with individuals without the syndrome( Reference Wu, Liu and Ho 10 ).

Dietary modification and physical activity are suggested as the safest and most effective strategy for the prevention of the incidence or fundamental correction of the components of the metabolic syndrome( Reference Finicelli, Squillaro and Di Cristo 11 ). The best dietary modifications focus on correction of all items of the diet, what is called a dietary pattern. Instead of correcting individual nutrients or foods, dietary patterns suggest overall diet change which provides a firmer effect on the prevention of diseases. By definition, dietary patterns are the quantities, proportions, variety, or combination of different foods and drinks in diets, and the frequency with which they are habitually consumed( 12 ).

Dietary Approaches to Stop Hypertension (DASH), a dietary pattern which was initially proposed for the treatment of hypertension, is rich in fruits, vegetables and low-fat dairy products, and low in total and saturated fat and cholesterol( Reference Appel, Moore and Obarzanek 13 ). DASH has similarities with the Mediterranean diet, which is a dietary pattern with proved benefits against CVD( Reference Liyanage, Ninomiya and Wang 14 , Reference Salas-Salvadó, Becerra-Tomás and García-Gavilán 15 ). The cardioprotective effect of DASH has been examined less than the Mediterranean diet in epidemiological studies and randomised controlled trials (RCT). Due to emphasis on the consumption of whole grains and low-fat dairy products and caution in consuming red meats and salt, DASH may provide a better diet composition than the Mediterranean dietary pattern against metabolic diseases( Reference Schulze, Martínez-González and Fung 16 ).

In the present review, we discuss evidence on the effect of each dietary component of the DASH diet on risk factors of the metabolic syndrome. It is worth noting that consuming DASH has other profitable consequences relative to the metabolic syndrome and CVD that are not mentioned in this article. For instance, antioxidant vitamins and phytochemicals present in fruit and vegetables may reduce oxidative stress, improve antioxidant capacity and impede inflammatory responses, all of which are important in instigation or development of the atherosclerosis process( Reference Lopes, Martin and Nashar 17 , Reference Asemi, Samimi and Tabassi 18 ). Also, fruit and vegetables provide great quantities of folic acid, which is essential for optimising levels of homocysteine( Reference Craddick, Elmer and Obarzanek 19 ), a known risk factor associated with CVD and the metabolic syndrome( Reference Catena, Colussi and Nait 20 ).

Definition

The metabolic syndrome is a cluster of abnormalities including abdominal obesity, hypertriacylglycerolaemia, low HDL-cholesterol, high blood pressure and high fasting glucose( Reference Ricci, Pirillo and Tomassoni 21 ). During the years between 1998 and 2009, a number of definitions were proposed by different organisations based on various criteria and cut-off points( Reference McCracken, Monaghan and Sreenivasan 22 ). For instance, in earlier definitions proposed by the WHO, European Group for Study of Insulin Resistance, and American Association of Clinical Endocrinologists, insulin resistance or impaired glucose tolerance was suggested to be the fixed item in the diagnosis of the metabolic syndrome( Reference McCracken, Monaghan and Sreenivasan 22 ). In 2009, however, when the latest definition currently being used was proposed, the International Diabetes Federation, National Heart, Lung, and Blood Institute, American Heart Association, World Heart Federation, International Atherosclerosis Society and International Association for the Study of Obesity agreed on a definition, in which there is no compulsory component, but waist circumference may be considered as a useful screening tool( Reference Alberti, Eckel and Grundy 23 ). The harmonised criteria for clinical diagnosis of the metabolic syndrome are as follows: elevated waist girth according to population- and country-specific definitions, serum. The last four components will also be considered positive in the case of pharmacological treatment( Reference Alberti, Eckel and Grundy 23 ).

Pathophysiology

Abdominal obesity is supposed to play a pivotal role in the development of abnormalities associated with the metabolic syndrome( Reference Phillips and Prins 24 ). Abdominal fat comprises fat depots accumulated in subcutaneous and visceral areas. Compared with subcutaneous fat, visceral adipose tissue is more metabolically active, more insulin resistant and more prone to lipolysis, the latter mainly through stimulation by catecholamines( Reference Ibrahim 25 ). The critical impact of visceral adipose tissue on metabolism is due to its proximity to the liver which allows direct drainage of visceral tissues, including NEFA and adipokines, into the portal vein.

In slim individuals, small adipocytes function as a sink for absorbed NEFA and TAG. In obese individuals, however, adipocytes become large and disordered. Large adipocytes are insulin-resistant and hyperlipolytic. This type of adipocytes is found more in visceral adipose tissue while subcutaneous fat contains rather insulin-sensitive small adipocytes( Reference Ibrahim 25 ).

Excessive release of NEFA from adipose tissue induces insulin resistance in the peripheries and the liver( Reference Rachek 26 , Reference Ebbert and Jensen 27 ). Hence, there may be a vicious cycle between the level of NEFA and the extent of insulin resistance( Reference Asrih and Jornayvaz 28 ). Insulin resistance in turn prevents uptake of glucose and fatty acids by cells, thus increasing their half-life in the circulation( Reference Ibrahim 25 ). Hepatic insulin resistance as well as high levels of NEFA stimulate gluconeogenesis which consequently causes hyperglycaemia, one of the features of the metabolic syndrome( Reference Samson and Garber 29 ). High concentrations of unused glucose and fatty acids in the blood expedite oxidative reactions and consequently instigate release of inflammatory cytokines from adipose tissue( Reference Standl 30 , Reference Chen, Yu and Xiong 31 ). Inflammatory cytokines are also involved in insulin resistance( Reference Paragh, Seres and Harangi 32 ).

One the other hand, excessive influx of NEFA into the liver results in fat deposition in hepatic cells, leading to fatty liver( Reference Milić, Lulić and Štimac 33 ). Also, hepatic overload of NEFA can result in overproduction of VLDL and subsequently hypertriacylglycerolaemia, another component of the metabolic syndrome( Reference Subramanian and Chait 34 ). Hypertriacylglycerolaemia activates cholesteryl ester transfer protein, the enzyme involved in the transfer of TAG from VLDL to HDL and LDL in exchange for cholesteryl esters( Reference Tenenbaum, Klempfner and Fisman 35 ). This results in increased TAG content of HDL and LDL particles. TAG-enriched HDL is cleared from blood more rapidly, leading to decreased concentration of HDL particles in blood. Likewise, TAG-enriched LDL particles are more susceptible to lipolytic activity of lipoprotein lipase and hepatic lipase, thus decreasing the size of LDL particles, which have a higher atherogenic activity.

Compared with other components, the mechanisms of metabolic syndrome-related hypertension are less recognized, but a role for the renin–angiotensin–aldosterone system has been suggested. Although the liver is the major source of angiotensinogen under normal conditions, in obese individuals adipocytes may also produce angiotensinogen( Reference Putnam, Shoemaker and Yiannikouris 36 ). Also, hyperglycaemia stimulates renin release and increases the expression of renin receptor, angiotensin and angiotensin-converting enzyme in animal kidneys. Hyperinsulinaemia may additionally increase blood pressure through stimulation of the sympathetic nervous system( Reference Samson and Garber 29 ). Hypertension may also occur as a result of endothelium malfunction due to destroying NO by reactive oxygen species produced following hyperglycaemia and high plasma NEFA( Reference Samson and Garber 29 ). Adipose tissue-derived cytokines may contribute to high blood pressure, as well( Reference Kang 37 ). Fig. 1 depicts the sequence and interconnections between events that lead to the development of the metabolic syndrome.

Fig. 1. Overview of pathological events which successively occur and lead to components of the metabolic syndrome. SNS, sympathetic nervous system; CETP, cholesteryl ester transfer protein; CE, cholesteryl esters; NAFLD, non-alcoholic fatty liver disease. For a colour figure, see the online version of the paper.

Dietary Approaches to Stop Hypertension (DASH) diet

The DASH diet was proposed for the first time in 1997 for the control of blood pressure( Reference Appel, Moore and Obarzanek 13 ). The diet was rich in fruits (5·2 servings/d), vegetables (4·4 servings/d) and low-fat dairy foods (2 servings/d) and with reduced total (25·6 % of energy) and saturated (7 % of energy) fat. The diet also had higher quantities of nuts, seeds and legumes (0·7 servings/d), whole grains (3·8 servings/d) and fish (0·5 servings/d), and lower amounts of red meats (0·5 servings/d), sweets and sugar-sweetened beverages (0·7 servings/d). There was primarily no restriction on Na. Na content of the original DASH diet was approximately 3 g/d (equal to 8 g salt/d). However, complementary investigations revealed that dietary Na restriction to less than 6 g/d enhances DASH benefits on blood pressure( Reference Sacks, Svetkey and Vollmer 38 ).

Due to possessing specific food items, the DASH diet provides good amounts of fibre, K, Ca, Mg and antioxidants, and limited quantities of total fat, saturated fat, cholesterol and Na (Fig. 2)( Reference Najafi, Faghih and Akhlaghi 39 ). Consumption of each of the beneficial dietary components and limiting ingestion of each of the unfavourable elements have proved to be advantageous for the prevention of hypertension( Reference Nguyen, Odelola and Rangaswami 40 ). However, the combination of these dietary components in the form of a dietary pattern provides more substantial benefits( Reference Chen, Maruthur and Appel 41 ).

Fig. 2. Major nutrients provided by Dietary Approaches to Stop Hypertension (DASH) components. For a colour figure, see the online version of the paper.

Although the DASH diet was initially designed for the prevention or control of hypertension, using a DASH diet has other metabolic rewards. For instance, epidemiological studies have shown benefits of DASH on the metabolic syndrome. In a large-scale cross-sectional study in Korea, the number of individuals with the metabolic syndrome was greatest in the DASH first quartile, which had the lowest consumption of protein, fibre, Ca and K, and the highest consumption of fat and Na( Reference Kang, Cho and Do 42 ). Also, in a 3·6-year cohort study on children and adolescents, OR of developing the metabolic syndrome in the highest, compared with the lowest, quartile of DASH score was 0·36( Reference Asghari, Yuzbashian and Mirmiran 43 ). The incidence of hypertension, high fasting glucose and abdominal obesity decreased along with strengthening adherence to the DASH diet( Reference Asghari, Yuzbashian and Mirmiran 43 ). Also, a 24-year prospective cohort study showed that adherence to the DASH diet was associated with a lower risk of CHD and stroke( Reference Fung, Chiuve and McCullough 44 ).

RCT have confirmed the findings of observational studies. For instance, 8-week consumption of DASH by overweight and obese individuals decreased body weight, serum TAG, VLDL-cholesterol, total to HDL-cholesterol ratio, insulin levels and insulin resistance, and increased the insulin sensitivity index( Reference Razavi Zade, Telkabadi and Bahmani 45 ). Likewise, in type 2 diabetes patients, DASH reduced body weight, waist circumference, fasting blood glucose levels, HbA1c, LDL-cholesterol, systolic and diastolic blood pressure, and inversely increased HDL-cholesterol( Reference Azadbakht, Fard and Karimi 46 ). Also, in a large-scale 8-week trial, the DASH diet reduced estimated 10-year CHD risk by 18 and 11 %, in comparison with regular and fruit and vegetable-rich diets, respectively( Reference Chen, Maruthur and Appel 41 ). In agreement, a meta-analysis predicted a 13 % reduction in the 10-year Framingham CVD risk score following consumption of DASH( Reference Siervo, Lara and Chowdhury 47 ). DASH decreased systolic and diastolic blood pressure, total and LDL-cholesterol, but no change in HDL-cholesterol and TAG was observed( Reference Siervo, Lara and Chowdhury 47 ).

Effect of Dietary Approaches to Stop Hypertension (DASH) on components of the metabolic syndrome

Waist circumference

Although reducing energy intake is not among the guidelines of the DASH diet, weight loss strategies are always recommended with DASH to improve its effectiveness( Reference Blumenthal, Babyak and Sherwood 48 ). In a clinical trial on hypertensive overweight patients, addition of energy restriction and aerobic exercise to the DASH diet led to lower glucose levels after an oral glucose load, improved insulin sensitivity, and lower total cholesterol and TAG compared with the DASH diet alone( Reference Blumenthal, Babyak and Sherwood 48 ). However, a meta-analysis of RCT showed that compared with non-DASH diets with equal energy, individuals on a DASH diet lose more weight, BMI and waist circumference( Reference Soltani, Shirani and Chitsazi 49 ). Like any other nutritional intervention, long treatments may not function as effectively as short interventions. A 1-year home-delivered DASH meal did not affect BMI in a group of mostly overweight or obese older adults with hypertension and/or hyperlipidaemia( Reference Racine, Lyerly and Troyer 50 ).

Subcutaneous fat responds more rapidly than visceral fat to weight loss programmes. A meta-analysis using different strategies for weight loss (diet/physical activity, hypoenergetic diets, promoting drugs, testosterone and bariatric surgery) showed that the decrease of subcutaneous fat was greater than visceral fat with no difference between different strategies( Reference Merlotti, Ceriani and Morabito 51 ). No intervention preferentially targets visceral fat. Visceral adipose tissue is lost with moderate weight loss, but the effect is attenuated with greater weight losses( Reference Chaston and Dixon 52 ). The decrease in weight, visceral adipose tissue, and less significantly subcutaneous fat, is associated with improved metabolic conditions, in particular decreased insulin levels( Reference Merlotti, Ceriani and Morabito 51 ).

Fasting glucose and insulin

The DASH diet has also been effective on glucose and insulin levels. In an interventional study, the DASH diet plus weight loss and physical activity improved fasting insulin and glucose( Reference Ard, Grambow and Liu 53 ). Similarly, in pregnant women with gestational diabetes, the DASH diet for 4 weeks resulted in decreased fasting plasma glucose, serum insulin levels and insulin resistance index( Reference Asemi, Samimi and Tabassi 18 ). However, meta-analyses have not shown the effect of DASH on fasting blood glucose and insulin resistance( Reference Shirani, Salehi-Abargouei and Azadbakht 54 , Reference Siervo, Lara and Chowdhury 47 ), but a decreasing effect on fasting insulin levels was observed( Reference Shirani, Salehi-Abargouei and Azadbakht 54 ).

Blood lipids

In the original DASH study, the DASH diet decreased total cholesterol, LDL-cholesterol and, to a lesser extent, HDL-cholesterol but no change in TAG levels was observed( Reference Obarzanek, Sacks and Vollmer 55 ). A meta-analysis of RCT similarly demonstrated the beneficial effect of DASH on total and LDL-cholesterol but no change in HDL-cholesterol and TAG( Reference Siervo, Lara and Chowdhury 47 ). The effect of DASH on total and LDL-cholesterol is probably the result of a decreased intake of saturated fat because DASH contains three times less red meat than a control diet( Reference Appel, Moore and Obarzanek 13 ). The Ca content of DASH may also contribute to the cholesterol-lowering effect of DASH considering that the amount of dairy products (low-fat + regular fat) in DASH is five times more than a control diet( Reference Appel, Moore and Obarzanek 13 ). The reduction in HDL-cholesterol is an unfavourable consequence of DASH which could be due to decreasing total dietary fat( Reference Obarzanek, Sacks and Vollmer 55 ).

Blood pressure

Na restriction is one of the components of DASH for reducing blood pressure. In fact, Na restriction was added to the initially designed DASH diet in order to augment its blood pressure-lowering effect. Decreased consumption of saturated fats may also control blood pressure( Reference Vafeiadou, Weech and Altowaijri 56 ) at least partially through enhancement of serum concentrations of angiotensin-converting enzyme( Reference Schüler, Osterhoff and Frahnow 57 ). In addition, high amounts of fruit and vegetables in DASH provide great quantities of K, Mg and fibre, all of which have been shown to reduce blood pressure. These dietary components were associated with lower blood pressure in observational and interventional studies( Reference Houston and Harper 58 , Reference Aleixandre and Miguel 59 ). However, K, Mg and fibre supplements were less effective in lowering blood pressure of obese hypertensive patients than DASH, indicating that there are other components in the DASH diet which help in blood pressure control( Reference Al-Solaiman, Jesri and Mountford 60 ).

Possible mechanisms of Dietary Approaches to Stop Hypertension (DASH) protection against the metabolic syndrome

Potassium

Blood pressure

Fruits and vegetables of DASH provide ample quantities of K. Epidemiological, observational and interventional studies have proposed a protective effect of K on blood pressure and the prevention of hypertension( Reference Houston 61 ). Epidemiological studies show that blood pressure is lower in populations with higher fruit and vegetable consumption( Reference Khaw and Rose 62 ). In the INTERSALT study( 63 ), a worldwide epidemiological study of large sample size from thirty-two countries, K intake (as measured by 24 h urinary K excretion) was an important determinant of population blood pressure, independent of Na( 63 ). A meta-analysis of RCT showed that K supplementation lowered blood pressure in hypertensive patients and those who did not use antihypertensive medications( Reference Binia, Jaeger and Hu 64 ). The American Heart Association( Reference Appel, Brands and Daniels 65 ) and American Society of Hypertension( Reference Appel, Giles and Black 66 ) suggest 4·7 g dietary K per d. This amount is equal to the amount of K provided in the DASH diet( Reference Appel, Moore and Obarzanek 13 ).

In addition to K intake, the ratio of dietary Na to K is also important for blood pressure control. In high K consumptions, elevated dietary Na may not lead to increased blood pressure( Reference Rodrigues, Baldo and Machado 67 ). A large cross-sectional study estimated adjusted OR for hypertension as 1·40 (95 % CI 1·07, 1·83), 0·72 (95 % CI 0·53, 0·97) and 1·30 (95 % CI 1·05, 1·61), respectively, for the highest v. the lowest quartiles of intake of Na, K or Na:K ratio( Reference Zhang, Cogswell and Gillespie 68 ). A high dietary Na:K ratio was also positively associated with cardiovascular risk and mortality( Reference Cook, Obarzanek and Cutler 69 ). Genetics may also affect blood pressure response to dietary Na and K. A family-based study in China showed that a genetic polymorphism in the adiponectin gene may play a role in blood pressure change in response to dietary Na and K although mechanisms of this contribution have not been discovered( Reference Chu, Wang and Ren 70 ).

K causes vasodilation through hyperpolarisation of vascular smooth muscle cells through stimulation of Na+/K+ ATPase pumps, increased activity of the Na–Ca exchanger, and subsequently decreased cytosolic Ca (Fig. 3)( Reference Haddy, Vanhoutte and Feletou 71 ). Other possible mechanisms by which K affects blood pressure include increased Na excretion, reduced sensitivity to vasoconstrictive activity of noradrenaline and angiotensin II, modulation of baroreceptor sensitivity, and improved insulin sensitivity( Reference Houston 61 , Reference Stone, Martyn and Weaver 72 ). However, K also benefits the cardiovascular system and prevents mortality independent of its effect on blood pressure through mechanisms such as inhibition of vascular smooth muscle cell proliferation, thrombosis and macrophage adhesion to the vascular wall( Reference He and MacGregor 73 ).

Fig. 3. Mechanisms by which potassium prevents hypertension. VSMC, vascular smooth muscle cells. For a colour figure, see the online version of the paper.

Glucose tolerance

K has beneficial effects other than blood pressure reduction. A large cohort study with 9 years of in-person follow-up and 17 years of telephone follow-up indicated that serum K level is an independent predictor of type 2 diabetes mellitus incidence( Reference Chatterjee, Yeh and Shafi 74 ). Compared with individuals with normal to high serum K levels (5·0–5·5 mEq/l), those with serum K levels < 4·0 mEq/l, 4·0 to < 4·5 mEq/l, and 4·5 to < 5·0 mEq/l had an adjusted hazard ratio of incident diabetes mellitus of 1·64, 1·64 and 1·39, respectively. This type of association was also observed for dietary and urinary K in African Americans but not whites( Reference Chatterjee, Colangelo and Yeh 75 ). A meta-analysis of prospective cohort studies confirmed the inverse association between serum K level and diabetes risk but no association between dietary or urinary K and the risk of diabetes was observed( Reference Peng, Zhong and Mi 76 ). K may be involved in glucose-dependent insulin secretion from pancreatic β-cells. In the resting state, β-cell membranes are polarised by K efflux from ATP-sensitive K channels. Upon a glucose load, uptake of glucose by β-cells leads to production of ATP and inactivation of ATP-sensitive K channels. Subsequently, depolarisation of β-cell membranes leads to opening voltage-gated Ca2+ channels, Ca influx, a rise in intracellular Ca concentrations and insulin secretion( Reference Ashcroft 77 ). Besides the proposed insulin secretagogic effect of K, a protective effect of K against salt-induced insulin resistance has been reported through suppression of IL-17A, an inflammatory cytokine involved in the metabolic syndrome, especially in salt loading states( Reference Wen, Wan and Zhou 78 ). In addition to the direct effect of K on insulin secretion, an inverse association between serum K and fasting insulin levels was observed( Reference Chatterjee, Yeh and Shafi 74 ). This inverse association is proposed to be due to stimulation of K entry to cells by insulin, leading to reduced serum K levels( Reference Sterns, Grieff and Bernstein 79 ).

Magnesium

Blood pressure

Due to containing green leafy vegetables, nuts, legumes, seeds and whole grains, the DASH diet has a high Mg content. A large cross-sectional study showed that a higher DASH score is associated with higher urine concentrations of K and Mg( Reference Taylor, Stampfer and Mount 80 ). Many health benefits have been attributed to Mg, but Mg is famous for its beneficial effects on the cardiovascular system, particularly hypertension. Atherosclerosis, hypertension, arrhythmias, dyslipidaemia, impaired glucose tolerance, insulin resistance and increased risk of the metabolic syndrome are reported in Mg deficiency( Reference Gröber, Schmidt and Kisters 81 ). A meta-analysis of prospective cohort studies supported the inverse dose–response relationship between dietary Mg intake and the risk of hypertension( Reference Han, Fang and Wei 82 ). Meta-analyses of RCT have also reported benefits of Mg supplementation on blood pressure( Reference Kass, Weekes and Carpenter 83 , Reference Zhang, Li and Del Gobbo 84 ).

Various mechanisms have been suggested for the antihypertensive effect of Mg. Mg inhibits the renin–angiotensin–aldosterone system, by counteracting angiotensin II and inhibiting aldosterone production. This inhibition may be exerted through activation of Na+/K+ ATPase and decreasing intracellular Na and Ca levels( Reference Schutten, Joosten and de Borst 85 ). Mg also acts as a Ca antagonist by raising the excitation threshold of voltage-gated Ca2+ channels, thus decreasing vascular smooth muscle cell contractility( Reference Kostov and Halacheva 86 , Reference Sontia and Touyz 87 ). Moreover, the production of vasoactive agents, such as endothelin-1, in vascular cell membranes is decreased in the presence of Mg. Furthermore, along with ATP, Mg mitigates catecholamine release from the adrenal gland in response to Ca. Mg may also reduce vascular stiffness( Reference Joris, Plat and Bakker 88 ), probably through regulating the synthesis of structural molecules in the vascular extracellular matrix( Reference Kostov and Halacheva 86 ). A part of the vasodilatory potential of Mg may be exerted through inhibiting systemic inflammation( Reference Song, Li and van Dam 89 ). Interestingly, in salt-induced hypertension a decrease in intracellular Mg along with accumulation of intracellular Ca is observed( Reference Barbagallo, Dominguez and Resnick 90 ).

Glucose tolerance

Prospective cohort studies and meta-analyses have also shown Mg to be advantageous in other metabolic disorders. For instance, in a prospective cohort study with 15 years follow-up, individuals in the highest quartile of Mg had lower risk (hazard ratio 0·69) for the development of the metabolic syndrome compared with those in the lowest quartile( Reference He, Liu and Daviglus 91 ). Also, a longitudinal study with 15·6 years of follow-up on a non-diabetic Japanese population showed decreased incidence of type 2 diabetes with a hazard ratio of 0·63 in the highest quartile of Mg intake compared with the lowest( Reference Hata, Doi and Ninomiya 92 ). Moreover, a meta-analysis of cohort studies indicated a significant inverse association between Mg intake and diabetes risk( Reference Schulze, Schulz and Heidemann 93 ). In another meta-analysis of prospective cohort studies an inverse correlation between plasma Mg levels and incidence of hypertension, CHD and type 2 diabetes was observed( Reference Wu, Xun and Tang 94 ).

Mg is also involved in insulin function. Mg is necessary for all reactions in which high-energy phosphate bonds are transferred. It functions as a cofactor for phosphorylation of tyrosine kinase at the insulin receptor( Reference Kostov and Halacheva 86 ). Therefore, decreased Mg may impair insulin signalling. Mg may also improve insulin secretion as reported by cross-sectional( Reference Rodríguez-Morán and Guerrero-Romero 95 ) and interventional( Reference Guerrero-Romero and Rodríguez-Morán 96 ) studies. Individuals with the metabolic syndrome generally have inadequate dietary Mg intake, and thus Mg supplementation may help in correction of their metabolic disturbances( Reference Wang, Persuitte and Olendzki 97 , Reference Morais, Severo and Santos 98 ). Meta-analyses of controlled trials have supported the effectiveness of Mg supplementation in reducing fasting glucose( Reference Song, He and Levitan 99 , Reference Veronese, Watutantrige-Fernando and Luchini 100 ) and raising HDL-cholesterol levels in patients with type 2 diabetes( Reference Song, He and Levitan 99 ). Another meta-analysis revealed that Mg supplementation for more than 4 months improved insulin resistance and fasting glucose in both diabetic and non-diabetic individuals( Reference Simental-Mendía, Sahebkar and Rodríguez-Morán 101 ).

It is worth noting that it is not only Mg which affects glucose tolerance but hyperglycaemia, even in transient form as occurs in non-diabetic subjects following consumption of meals, also decreases intracellular Mg and increases intracellular Ca, indicating that Mg depletion can be both a cause and consequence of hyperglycaemia( Reference Barbagallo, Dominguez and Resnick 90 ). In addition, insulin resistance may impair Mg reabsorption in the kidney resulting in urinary Mg excretion( Reference Gommers, Hoenderop and Bindels 102 ).

Calcium and dairy products

Weight

One of the important ingredients of DASH is Ca. In the DASH diet, Ca is mainly supplied by dairy products and to a less extent by green leafy vegetables, soya, nuts, particularly almonds, and fish when the bones are eaten. Ca and dairy products protect against the metabolic syndrome through a variety of mechanisms. Reduced adiposity is one of the mechanisms of Ca against the metabolic syndrome. A meta-analysis of cross-sectional studies showed the inverse association between dairy product consumption and decreased risk of obesity( Reference Wang, Wu and Zhang 103 ). However, meta-analyses of randomised clinical trials did not show a beneficial effect of dairy products on the weight of overweight/obese adults but advantages were reported when dairy products were consumed in combination with energy-restricted diets( Reference Chen, Pan and Malik 104 Reference Abargouei, Janghorbani and Salehi-Marzijarani 106 ). The evidence suggests that individuals with a low Ca intake may benefit from dairy products for decreasing waist circumference and sagittal abdominal diameter( Reference Wennersberg, Smedman and Turpeinen 107 ). The reductions in weight and waist circumference may eventually lead to lower blood pressure and control of hypertension( Reference Park, Lee and Kim 108 ).

There are mechanisms by which Ca may engage in weight control. Dietary Ca may decrease fat absorption through formation of insoluble fatty acid soaps in the intestine( Reference Christensen, Lorenzen and Svith 109 ). On the other hand, stimulation of parathyroid hormone in response to low serum Ca concentrations results in the elevation of intracellular Ca concentration and the triggering of adiposity through stimulation of enzymes involved in lipogenesis and inhibition of lipolysis( Reference Zemel, Teegarden and Loan 110 ). Sufficient ingestion of dietary Ca can hinder this process through optimising serum Ca levels and inhibiting stimulation of parathormone, leading to reduced adipogenesis and body fat mobilisation and oxidation.

Compared with supplemental Ca, dairy Ca has a greater effect on weight, suggesting that dairy components other than Ca may be effective( Reference Zemel, Thompson and Milstead 111 , Reference Zemel 112 ). For instance, dairy proteins may help in the suppression of appetite. Whey is supposed to have a stronger effect than casein on appetite control but each of whey and casein executes distinct mechanisms. While the casein fraction postpones gastric emptying following coagulation in the stomach, whey induces satiety due to rapid digestion, absorption and elevation of amino acids in the blood( Reference Bendtsen, Lorenzen and Bendsen 113 ). Bioactive compounds, low-glycaemic index carbohydrates and Ca content of dairy foods may also be implicated in appetite control( Reference Dougkas, Reynolds and Givens 114 ). It is worthwhile to note that the beneficial effect of dairy products on weight occurs when low-fat dairy products are consumed, but whole-fat dairy products may promote weight gain( Reference Alonso, Zozaya and Vázquez 115 ).

Glucose tolerance

Decreased weight has positive metabolic consequences such as improved insulin sensitivity. A meta-analysis of observational studies indicates a relatively consistent association between low Ca or dairy product intake and prevalent type 2 diabetes or the metabolic syndrome( Reference Pittas, Lau and Hu 116 ). Similarly, a meta-analysis of cohort studies suggested an inverse association between the intake of dairy products, low-fat dairy products and cheese and the risk of type 2 diabetes( Reference Aune, Norat and Romundstad 117 ). A prospective cohort study showed an association of higher consumption of dairy products and Ca with lower 9-year incidence of the metabolic syndrome and impaired fasting glucose or type 2 diabetes( Reference Fumeron, Lamri and Abi Khalil 118 ). Also, a prospective cohort study with 20 years of follow-up revealed the inverse association of milk and dairy product consumption and prevalence of the metabolic syndrome( Reference Elwood, Pickering and Fehily 119 ). A possible mechanism for dairy product protection against type 2 diabetes is the low-glycaemic index of milk and other dairy foods which suppresses postprandial hyperglycaemia( Reference Ballard and Bruno 120 ). The beneficial effect of dairy products on weight may also contribute to the prevention of type 2 diabetes by dairy foods. Moreover, milk proteins, in particular whey, have insulinotropic activity when consumed with meals( Reference Nilsson, Stenberg and Frid 121 ). Ca is also essential for insulin secretion by pancreatic β-cells (Fig. 4)( Reference Pittas, Lau and Hu 116 ).

Fig. 4. The role of calcium in secretion of insulin by pancreatic β-cells. For a colour figure, see the online version of the paper.

Blood pressure

Blood pressure is also affected by Ca and dairy product intake. Meta-analyses of prospective cohort studies support the inverse association between low-fat dairy products and risk of elevated blood pressure( Reference Soedamah-Muthu, Verberne and Ding 122 , Reference Ralston, Lee and Truby 123 ). The pooled relative risk (RR) per 200 g/d was 0·97 (95 % CI 0·95, 0·99) for total dairy products, 0·96 (95 % CI 0·93, 0·99) for low-fat dairy products and 0·96 (95 % CI 0·94, 0·98) for milk( Reference Soedamah-Muthu, Verberne and Ding 122 ). The protective effect may be greater in an at-risk population( Reference Toledo, Delgado-Rodríguez and Estruch 124 ). On the other hand, high-fat dairy products may have an adverse effect on blood pressure due to the increasing effect on weight( Reference Alonso, Zozaya and Vázquez 115 ). Both casein and whey constituents of milk protein have been effective in reducing blood pressure and arterial stiffness( Reference Fekete, Givens and Lovegrove 125 Reference Boelsma and Kloek 127 ). The effect is supposed to be exerted mainly by bioactive tripeptides which are produced in the gut following digestion of milk proteins. A part of the beneficial effect of milk on blood pressure may result from its K. Dairy products have a relatively high K content which contributes largely to daily K intake( Reference Ballard and Bruno 120 ). Furthermore, through prevention of transient postprandial hyperglycaemia, dairy products as a low-glycaemic index food prevent hyperglycaemia-induced oxidative stress, thus improving NO bioavailability and vascular function( Reference Ballard and Bruno 120 ).

Sodium

Blood pressure

Although reducing Na intake was not initially among the principles of the DASH diet( Reference Appel, Moore and Obarzanek 13 ), Na restriction is recommended along with DASH in order to augment its blood pressure-lowering effect( Reference Sacks, Svetkey and Vollmer 38 ). However, reduced blood pressure following consumption of DASH does not occur due to Na restriction only, but other DASH components are also effective in the regulation of blood pressure. In fact, in the absence of salt restriction, a reduction in blood pressure is still observed following DASH consumption( Reference Appel, Moore and Obarzanek 13 ). Reducing Na intake from a high-Na ordinary diet (about 3·5 g/d Na) to a low-Na DASH diet (1·8 g/d Na) resulted in mean systolic blood pressure decreases of 7·1 and 11·5 mmHg in normotensive and hypertensive individuals, respectively( Reference Sacks, Svetkey and Vollmer 38 ). The American Heart Association and American College of Cardiology recommend no more than 2·4 g Na per d (equal to 6 g salt per d)( Reference Eckel, Jakicic and Ard 128 ). A further decrease to 1·5 g/d may be required for high-risk patients, for instance, for those at risk of stroke( Reference Van Horn 129 ). On the other hand, very intensive Na restriction is also not recommended because a low Na intake is associated with increased cardiovascular mortality, indicating that a U-shaped relationship may exist between Na intake and health outcomes( Reference Graudal, Jürgens and Baslund 130 ).

Mechanisms by which Na increases blood pressure include expansion of extracellular fluid volume and increased cardiac output( Reference Feng, Dell’Italia and Sanders 131 ), impaired renin–angiotensin–aldosterone system( Reference Shimosawa 132 ), activation of the sympathetic nervous system( Reference Gavras and Gavras 133 ), augmented vascular smooth muscle cell proliferation( Reference Liu, Hitomi and Rahman 134 ) and reduced NO bioavailability, which decreases endothelium-dependent vasodilation( Reference Boegehold 135 ). Kidneys and the vascular system play pivotal roles in modifying the haemodynamic changes caused by Na, but their function is impaired in salt sensitivity( Reference Feng, Dell’Italia and Sanders 131 ).

Glucose tolerance

There are other benefits with Na restriction which may help against the metabolic syndrome. For instance, low dietary Na reduces insulin secretion without effecting insulin sensitivity, probably through interruption of the renin–angiotensin–aldosterone system( Reference Luther, Byrne and Yu 136 ). High aldosterone concentrations may impair β-cell function( Reference Mosso, Carvajal and Maiz 137 ). Also, a direct relationship between aldosterone, insulin resistance and hyperinsulinaemia( Reference Colussi, Catena and Lapenna 138 ) has been suggested.

Fibre

Weight

Prospective studies on cereal fibre and whole grains reported small but significant reductions in weight gain( Reference Cho, Qi and Fahey 139 ). A meta-analysis of RCT also showed reductions in weight, BMI and body fat in overweight and obese adults consuming soluble fibre supplements( Reference Thompson, Hannon and An 140 ). Due to resistance to gastrointestinal enzymes, dietary fibre is devoid of energy, and fibre-containing foods such as whole grains, vegetables and fruit have low energy density. In addition, because of their bulking properties, fibre-containing foods stimulate satiety signals without adding much into daily energy intake( Reference Papathanasopoulos and Camilleri 141 ). As a result of their viscosity and formation of gel in the stomach, soluble fibres delay gastric emptying, thus slowing down food transition through the small intestine which results in decelerating glucose absorption( Reference Weickert and Pfeiffer 142 ). Slow glucose absorption suppresses the insulin response and prevents episodes of hypoglycaemia, thus minimising hunger sensations. Moreover, SCFA produced as a result of colonic fermentation of soluble fibres have shown potential in regulating appetite through suppressing hunger hormones and stimulating satiety hormones although large doses of fibre are required to exhibit such effects( Reference Nilsson, Johansson and Ekström 143 ). SCFA may also increase energy expenditure through increased thermogenesis and fat oxidation although this effect has not been investigated in human studies( Reference Byrne, Chambers and Morrison 144 ).

Glucose tolerance

A meta-analysis of prospective cohort studies indicated that a two servings/d increase in whole grain consumption was associated with a 21 % decrease in the risk of type 2 diabetes( Reference de Munter, Hu and Spiegelman 145 ). Another meta-analysis of cohort studies showed a reduced risk of diabetes with higher intake of cereal fibre (RR for extreme categories 0·67), but no significant association for fruit was observed( Reference Schulze, Schulz and Heidemann 93 ). Later meta-analyses showed the inverse association between intake of total dietary fibre and cereal fibre as well as insoluble fibre and fruit and risk of type 2 diabetes( Reference Yao, Fang and Xu 146 ). In a large case–control study, lower risk of diabetes was associated with the intake of cereal and vegetable fibre, but not fruit fibre( 147 ). Meta-analyses of RCT have also shown benefits of low-glycaemic index foods in the prevention of diabetes( Reference Barclay, Petocz and McMillan-Price 148 ) or improvement of glycaemic control( Reference Thompson, Hannon and An 140 , Reference Brand-Miller, Hayne and Petocz 149 Reference Bajorek and Morello 153 ).

The anti-diabetic effect of fibre may be partly due to its beneficial effect on weight. In a meta-analysis of cohort studies, the inverse association of fibre intake with diabetes risk diminished after adjustment for BMI( 147 ). Fibre also has a direct impact on gastric emptying which increases intestinal transit time. SCFA that are produced in the colon as a result of colonic bacteria fermentation can also delay gastric emptying and decelerate glucose absorption through stimulating secretion of anorectic hormones, peptide YY and glucagon-like peptide-1 (GLP-1)( Reference Scheithauer, Dallinga-Thie and de Vos 154 , Reference Canfora, Jocken and Blaak 155 ). There are also additional mechanisms by which SCFA may contribute to the prevention of diabetes. These include anti-inflammatory effect of SCFA, balancing composition and activity of gut microbiota, and reducing hepatic glucose production by suppressing gene expression of the gluconeogenic enzymes glucose 6-phosphatase and phosphoenolpyruvate carboxykinase( Reference den Besten, van Eunen and Groen 156 Reference Kuo 158 ). The above-mentioned mechanisms are suggested for soluble fibre. Nevertheless, benefits of fibre on diabetes are related to both types of soluble and insoluble fibre. In fact, data for the anti-diabetic potential of insoluble fibre are stronger and more consistent than soluble fibre although the mechanisms of the protection are less recognised( Reference Davison and Temple 159 ). Insoluble fibre may exert its effect through accelerating secretion of glucose-dependent insulinotropic polypeptide (GIP) and insulin response following meals, thus reducing the postprandial glucose rise( Reference Weickert, Mohlig and Koebnick 160 ). In addition, the consumption of high-cereal fibre diets may prevent high-protein diet-induced insulin resistance by interfering with protein absorption( Reference Weickert, Roden and Isken 161 ). High-protein diets are generally applied in weight loss programmes and impair insulin signalling through phosphorylation of serine kinase-6-1( Reference Weickert, Roden and Isken 161 ).

Lipids

In an umbrella review, thirty-one meta-analyses reported reductions in the RR of CVD mortality (RR 0·77–0·83), the incidence of CVD (RR 0·72–0·91), CHD (RR 0·76–0·93) and stroke (RR 0·83–0·93) in the highest v. the lowest dietary fibre intake( Reference McRae 162 ). The evidence also suggests effectiveness of fibre on risk factors of CVD. Meta-analyses on supplementation studies using viscous soluble fibres, β-glucan, psyllium or konjac glucomannan also reported statistically significant reductions in both total and LDL-cholesterol concentrations( Reference McRae 162 Reference Ho, Jovanovski and Zurbau 164 ). Similarly, a systematic review revealed that a breakfast based on oats, barley or psyllium may lower cholesterol concentrations( Reference Williams 165 ). In another meta-analysis, TAG levels did not change but HDL-cholesterol concentrations were increased slightly by fibre( Reference Hartley, May and Loveman 166 ). The mechanisms involved include: (1) interfering with enterohepatic circulation through prevention re-absorption of bile acids in the ileum, thus enhancing utilisation of blood cholesterol for de novo synthesis of bile acids; (2) slowing glucose absorption and subsequently suppressing insulin response, thereby reducing stimulation of hepatic cholesterol synthesis by insulin; (3) increasing hepatic LDL receptors; and (4) diminution of intestinal cholesterol absorption and its hepatic synthesis by SCFA( Reference Papathanasopoulos and Camilleri 141 , Reference Gunness and Gidley 167 , Reference Chen, Xu and Huang 168 ). Compared with soluble fibres, insoluble fibres exhibit a smaller reduction on blood cholesterol, but binding bile acids has been mentioned as their mechanism of action against blood cholesterol( Reference van Bennekum, Nguyen and Schulthess 169 ).

Blood pressure

A meta-analysis of RCT showed a lowering effect of viscous soluble fibre on systolic and diastolic blood pressure( Reference Khan, Jovanovski and Ho 170 ). Psyllium had a stronger effect than β-glucan, guar gum, konjac and pectin. Another meta-analysis indicated the effectiveness of dietary fibre in trials conducted on hypertensive patients and in trials with an intervention duration of ≥ 8 weeks but reduction in normotensive subjects was less conclusive( Reference Whelton, Hyre and Pedersen 171 ). However, compared with other components of the metabolic syndrome, the mechanisms of the effect of fibre on blood pressure are less recognised. The beneficial effect of fibre on blood pressure may have resulted from of its impact on weight. Also, some of the antihypertensive effect of fibre may be exerted through amelioration of insulin resistance and reducing insulin concentrations( Reference Aleixandre and Miguel 59 , Reference Sarafidis and Bakris 172 ). Insulin has an antinatriuretic potential by which it stimulates renal Na reabsorption( Reference Sarafidis and Bakris 172 ). Therefore, reduction of insulin concentrations could be beneficial for blood pressure. Furthermore, fermentation of soluble fibre in the distal intestine and colon produces acidic metabolites which may improve the absorption of minerals that are advantageous for blood pressure( Reference Aljuraiban, Griep and Chan 173 ). Since hypercholesterolaemia and hypertension are closely related, fibre may hinder hypertension by preventing hypercholesterolaemia( Reference Tuñón, Martín-Ventura and Blanco-Colio 174 ).

Antioxidants

Oxidative stress is a common feature of the metabolic syndrome( Reference Ford 175 ). Reactive oxygen species are produced during normal metabolism by mitochondria and extra-mitochondrial systems. However, the production of reactive oxygen species is increased in pathological conditions including obesity and the metabolic syndrome( Reference Ilkun and Boudina 176 ). In oxidative stress conditions, antioxidants are depleted in cellular and extracellular compartments. A case–control study showed that plasma levels of vitamins A, C and E are significantly lower in patients with the metabolic syndrome than in healthy subjects( Reference Godala, Materek-Kuśmierkiewicz and Moczulski 177 ). Therefore, consumption of antioxidants such as polyphenols, vitamin C, vitamin E and carotenoids may correct metabolic syndrome-associated oxidative stress( Reference Gregório, De Souza and de Morais Nascimento 178 ). Fruit, vegetables and nuts of DASH provide good quantities of antioxidant vitamins and polyphenols.

Weight

A systematic review of observational studies showed that obese individuals in any age group possess lower concentrations of antioxidants( Reference Hosseini, Saedisomeolia and Allman-Farinelli 179 ). Plasma levels of carotenoids, vitamins E and C, as well as Zn, Mg and Se were inversely correlated with obesity and body fat mass( Reference Hosseini, Saedisomeolia and Allman-Farinelli 179 ). In addition to antioxidant vitamins and minerals, polyphenols present in fruits and vegetables can prevent obesity. For instance, meta-analyses of RCT have shown the anti-obesity effect of flavanols( Reference Akhlaghi, Ghobadi and Mohammad Hosseini 180 ) and isoflavones( Reference Akhlaghi, Zare and Nouripour 181 ). The anti-obesity effect of polyphenols may be exerted through increasing β-oxidation of fatty acids, induction of satiety, stimulating thermogenesis in brown adipose tissue, increasing lipolysis, control of adipocyte differentiation, down-regulation of fatty acid synthase gene expression, and functioning as a prebiotic for gut microbiota (Fig. 5)( Reference Castro-Barquero, Lamuela-Raventós and Doménech 182 Reference Lin and Lin-Shiau 186 ). Similarly, carotenoids may deter adiposity by enhancing fat oxidation and increasing energy waste in brown and white adipocytes( Reference Bonet, Canas and Ribot 187 ). Likewise, vitamin C may inhibit adipocyte differentiation, increase lipolysis and prevent glucose uptake by adipocytes( Reference Garcia-Diaz, Lopez-Legarrea and Quintero 188 ).

Fig. 5. Mechanisms of polyphenols against hyperglycaemia and obesity. GLP-1, glucagon-like peptide 1. For a colour figure, see the online version of the paper.

Glucose tolerance

The association between antioxidants and risk of diabetes has also been reported. A large retrospective cohort study with 5 years of follow-up on twenty-five communities across Japan showed an inverse association between consumption of green tea, coffee and total caffeine and the risk for type 2 diabetes( Reference Iso, Date and Wakai 189 ). Also, in a prospective cohort study with 10 years of follow-up in Japan, the hazard ratio for development of type 2 diabetes in the highest v. the lowest tertiles of serum α-carotene, β-cryptoxanthin and total carotenoids was 0·35, 0·43 and 0·41, respectively( Reference Sugiura, Nakamura and Ogawa 190 ). Various mechanisms have been suggested for the effect of polyphenols on glucose tolerance and insulin sensitivity (Fig. 5 ). Polyphenols may increase insulin secretion through protection of β-cell integrity( Reference Dragan, Andrica and Serban 191 ). They may also stimulate secretion of GLP-1, a hormone involved in quick postprandial insulin response, increase GLP-1 half-life, stimulate β-cells to secrete insulin, and increase insulin sensitivity in peripheral tissues( Reference Domínguez Avila, Rodrigo García and González Aguilar 192 ). In peripheral tissues, polyphenols may activate PPARγ, thus inducing adiponectin production and improving insulin resistance( Reference Umeno, Horie and Murotomi 193 ). In addition, cell culture studies indicate that green tea polyphenols inhibit gluconeogenesis in hepatocytes and stimulate glucose uptake in rat skeletal muscle cells by using a phosphatidylinositol 3-kinase-dependent mechanism that mimics metabolic actions of insulin( Reference Munir, Chandrasekaran and Gao 194 ). Polyphenols have also potential to decrease starch digestion by inhibiting α-amylase activity( Reference Xu, Shao and Xiao 195 ).

No meta-analysis has ever examined the effect of vitamin C or vitamin E on the risk of type 2 diabetes but meta-analyses on the effect of these antioxidants on patients with type 2 diabetes have produced conflicting results. Two meta-analyses showed no beneficial effect of vitamin E supplementation on glycaemic control of patients with type 2 diabetes but results were more promising for individuals with poor glycaemic control or low serum vitamin E levels( Reference Suksomboon, Poolsup and Sinprasert 196 , Reference Xu, Zhang and Tao 197 ). Another meta-analysis indicated that supplementation with vitamin C, vitamin E or their combination did not improve insulin resistance of type 2 diabetes patients( Reference Khodaeian, Tabatabaei-Malazy and Qorbani 198 ), but a limited number of RCT showed that a single dose of vitamin C may be beneficial in reducing fasting blood glucose of these patients( Reference Tabatabaei-Malazy, Nikfar and Larijani 199 ). Another meta-analysis revealed that vitamin C did not modify glucose, HbA1c and insulin concentrations in a population containing both diabetic and non-diabetic participants but subgroup analyses indicated that vitamin C significantly reduced glucose concentrations in patients with type 2 diabetes and in interventions longer than 30 d; also vitamin C administration had a greater effect on fasting compared with postprandial insulin concentration( Reference Ashor, Werner and Lara 200 ).

Mechanisms of the possible effect of vitamin C and vitamin E in the management of diabetes are largely unknown but the beneficial effect of these antioxidants in establishing glycaemic control may be exerted through a direct effect on pancreatic β-cells by protecting them from oxidative stress-induced cell damage( Reference Suksomboon, Poolsup and Sinprasert 196 ). Hyperglycaemia-associated oxidative stress is also suggested to be involved in the development of insulin resistance( Reference Henriksen, Diamond-Stanic and Marchionne 201 , Reference Ceriello and Motz 202 ). Thus, a part of antioxidants’ protection against type 2 diabetes may be delivered by suppression of oxidative stress. Carotenoids may reduce insulin resistance by induction of PPARγ as well as inhibiting c-Jun NH2-terminal kinase (JNK) and inhibitor κB kinase β (IKKβ) which induce insulin resistance through phosphorylation of insulin receptor substrate-1 (IRS-1)( Reference Roohbakhsh, Karimi and Iranshahi 203 ).

Lipids

There is limited evidence for the effect of antioxidants on blood lipids. A meta-analysis of RCT showed that vitamin C supplements may decrease TAG and LDL-cholesterol but the increase in HDL-cholesterol was not significant( Reference McRae 204 ). Similarly, meta-analyses of RCT showed that consumption of green tea catechins was associated with a significant reduction in total and LDL-cholesterol levels without causing significant changes in HDL-cholesterol or TAG levels( Reference Kim, Chiu and Barone 205 , Reference Zheng, Xu and Li 206 ). Another meta-analysis revealed beneficial effects of dark chocolate and cocoa products on total and LDL-cholesterol with no major effect on HDL-cholesterol and TAG( Reference Tokede, Gaziano and Djoussé 207 ). The cholesterol-lowering effect of polyphenols may be due to interfering with cholesterol absorption( Reference Bursill, Abbey and Roach 208 ), inhibiting cholesterol synthesis( Reference Kobayashi, Nishizawa and Inoue 209 ), and inducing expression and activity of LDL receptors( Reference Dávalos, Fernández-Hernando and Cerrato 210 ). Moreover, by preventing LDL oxidation, antioxidants such as vitamin C improve recognition of LDL particles by hepatic LDL receptors and thus expedite their removal from blood( Reference McRae 204 ). In addition, by preventing oxidation of HDL, antioxidants may improve reverse cholesterol transport which is a process that exchanges cholesterol from peripheral tissues and circulating lipoproteins with TAG of HDL, thereby facilitating elimination of cholesterol from blood( Reference Millar, Duclos and Blesso 211 ).

Blood pressure

Meta-analyses of RCT have shown benefits of polyphenols( Reference Serban, Sahebkar and Zanchetti 212 Reference Ras, Zock and Draijer 215 ) and vitamin C on blood pressure( Reference Juraschek, Guallar and Appel 216 ). Dietary polyphenols have shown a vasoprotective effect by augmentation of endothelial synthesis of NO and endothelium-derived hyperpolarising factor, inhibition of angiotensin-converting enzyme, suppression of endothelin-1 synthesis and increased bioavailability of NO by scavenging free radicals( Reference Medina-Remón, Estruch and Tresserra-Rimbau 217 , Reference Hügel, Jackson and May 218 ). There is also evidence that polyphenols promote vasodilation through an endothelium-independent mechanism by a direct effect on vascular smooth muscle cells via blocking Ca channels( Reference Larson, Symons and Jalili 219 ).

Low total fat

Weight

Although less important than total energy content, the macronutrient composition of the diet is also believed to affect weight. Low-fat diets may have potential in weight control attempts( Reference Peters 220 ); however, meta-analyses of controlled trials suggest that the effect of low-fat diets on weight depends on the diet of the control group( Reference Tobias, Chen and Manson 221 ). As an example, a meta-analysis of RCT indicated that low-fat diets lead to weight reduction only when compared with usual diet, but not in comparison with other dietary compositions such as low-carbohydrate or high-fat interventions( Reference Tobias, Chen and Manson 221 ).

Glucose tolerance

Large-scale cohort studies on healthy populations have shown a positive association between total and saturated fat intake and the development of type 2 diabetes; however, the association disappeared after adjustment for BMI( Reference van Dam, Willett and Rimm 222 ). Nonetheless, individuals in the prediabetic state or those who are genetically vulnerable to metabolic disorders may develop type 2 diabetes following the consumption of high-fat diets( Reference Nagao, Asai and Sugihara 223 ). In fact, the susceptibility of individuals to insulin resistance is affected by genes, and dietary factors can alter this susceptibility( Reference López-Miranda, Pérez-Martínez and Marin 224 ). High-fat diets increase concentration of TAG constituents such as diacylglycerols and ceramides in muscle and adipose tissue. Such compounds phosphorylate serine residues of insulin receptor substrate through activation of serine kinases, leading to an impaired insulin function, decreased translocation of insulin-dependent GLUT-4, and eventually decreased glucose uptake( Reference Galgani, Uauy and Aguirre 225 ). On the other hand, as high-fat diets have low carbohydrate content, they may benefit patients with type 2 diabetes. In this regard, a meta-analysis of RCT suggested that high-fat diets reduce fasting blood glucose in type 2 diabetes patients, but not prediabetic individuals( Reference Schwingshackl and Hoffmann 226 ).

Blood pressure

The quantity of dietary fat has less impact on blood pressure than fatty acid composition of the diet( Reference Hall 227 ). However, an increased concentration of NEFA in blood as occurs following consumption of high-fat meals can impair endothelial function. This postprandial acute effect may potentiate stronger chronic impacts on endothelium if high-fat meals are consumed persistently( Reference Hall 227 ). An increased serum concentration of angiotensin-converting enzyme is proposed as a mechanism of a high-fat diet (45 %) on blood pressure( Reference Schüler, Osterhoff and Frahnow 57 ).

Low saturated fats

Weight

The ratio of saturated:unsaturated fats also affects weight. Saturated fats are probably more obesogenic than unsaturated fats( Reference Krishnan and Cooper 228 ). Compared with saturated fats, unsaturated fatty acids induce greater energy expenditure, diet-induced thermogenesis and fat oxidation( Reference Krishnan and Cooper 228 ). Gene studies revealed that polyunsaturated fats up-regulate expression of PPARα, a transcription factor involved in lipid oxidation, and down-regulate expression of PPARγ, a transcription factor involved in lipogenesis( Reference Georgiadi and Kersten 229 ). Saturated fats have the opposite effect on these genes( Reference Staiger, Staiger and Haas 230 ).

Glucose tolerance

The quality of consumed fats is more important than their quantity for the incidence of diabetes and insulin sensitivity. Saturated fats are associated with an increased risk of type 2 diabetes while unsaturated fats are associated with insulin sensitivity( Reference Galgani, Uauy and Aguirre 225 ). In a multinational study, newly diagnosed diabetes was observed more frequently in patients with higher consumption of total and animal fat and lower plant to animal fat ratio( Reference Thanopoulou, Karamanos and Angelico 231 ). It is worthwhile to note that high quantities of saturated fat (for instance > 15 %) probably increase the risk of insulin resistance and type 2 diabetes, but moderate quantities may not have such an effect( Reference Morio, Fardet and Legrand 232 ).

In diabetes patients, serum cholesteryl esters are mainly composed of SFA. In contrast, a number of studies reported the association of high concentration of unsaturated fatty acids in serum and muscle of healthy individuals and insulin sensitivity( Reference Riccardi, Giacco and Rivellese 233 ). Fatty acids which are received through the diet incorporate into the cell membrane and affect its activity. The ratio of unsaturated fatty acids to SFA present in membrane phospholipids affects membrane fluidity and has a direct relevance to insulin function and glucose transport efficiency( Reference Weijers 234 , Reference Risérus, Willett and Hu 235 ). Apart from the direct effect on insulin sensitivity of peripheral tissues, PUFA also improve hepatic insulin sensitivity through the suppression of lipogenesis and stimulation of fat oxidation( Reference Risérus, Willett and Hu 235 , Reference Georgiadi and Kersten 229 ).

Lipids

Despite the general notion for the atherogenicity of saturated fats, cohort studies do not consistently support the link between saturated fats and CVD. A meta-analysis of prospective studies with follow-up periods of 5 to 23 years showed no significant relationship between dietary saturated fat and risk of CHD or CVD( Reference Siri-Tarino, Sun and Hu 236 ). Another meta-analysis of prospective cohort studies supported a causal relationship between CHD and intake of high-glycaemic index foods and trans-fatty acids and an inverse association between CHD and consumption of vegetables, nuts and MUFA, and healthy dietary patterns, but no association was observed between saturated fats and CHD( Reference Mente, de Koning and Shannon 237 ). The lack of the association of saturated fats with CHD in cohort studies is probably due to substitution of dietary carbohydrates for saturated fats which reduces concentrations of total, LDL- and HDL-cholesterol in a way that total to HDL-cholesterol ratio, an indicator of CVD risk, does not change( Reference Siri-Tarino, Sun and Hu 238 ). In contrast, replacement of saturated fats with unsaturated fats lowers total and LDL-cholesterol, resulting in a decreased total:HDL-cholesterol ratio( Reference Siri-Tarino, Sun and Hu 238 , Reference Schwab, Lauritzen and Tholstrup 239 ). Such substitution has reduced the incidence of cardiovascular events when embedded in an eating pattern for a period of more than 2 years( Reference Hooper, Abdelhamid and Moore 240 ). In this regard, a prospective cohort study with 14 years of follow-up indicated that replacement of 5 % energy from saturated fats with unsaturated fats would reduce the risk of CHD by 42 %( Reference Hu, Stampfer and Manson 241 ). Also, a meta-analysis of RCT suggested that each 5 % energy increase from polyunsaturated fats in place of saturated fats led to a 10 % reduction in CHD( Reference Mozaffarian, Micha and Wallace 242 ). Nevertheless, evidence on the effect of substitution of polyunsaturated fats for saturated fats on risk factors of CVD is still lacking. For instance, insufficient available data did not allow a meta-analysis of RCT to find significant reductions in total cholesterol, LDL-cholesterol and TAG following replacement of unsaturated fats for saturated fats( Reference Hannon, Thompson and An 243 ).

Blood pressure

Studies on the relationship between blood pressure and dietary fats are rather scarce and no meta-analysis has been performed based on the current evidence. The available evidence suggests that saturated fats have unfavourable and unsaturated fats have beneficial impact on blood pressure and vascular function( Reference Hall 227 ). A cross-sectional study revealed that saturated fat intake was independently and strongly associated with hypertension( Reference Beegom and Singh 244 ). Also, in a RCT, substitution of 10 % saturated fats with either mono- or polyunsaturated fats decreased blood pressure and E-selectin without affecting flow-mediated dilation and other measures of vascular function( Reference Vafeiadou, Weech and Altowaijri 56 ). n-3 Fatty acids are the most advantageous fatty acids for blood pressure control. These fatty acids inhibit angiotensin-converting enzyme activity and increase NO bioavailability through augmentation of endothelial NO synthase activity, suppression of pro-inflammatory cytokines and inhibition of cyclo-oxygenase activity( Reference Das 245 ).

Clinical relevance

Based on original reports and meta-analyses, the magnitude of alterations by DASH in risk factors of CVD and the metabolic syndrome is rather small. A meta-analysis by Siervo et al. ( Reference Siervo, Lara and Chowdhury 47 ) indicates that DASH causes small reductions in systolic (–5·2 mmHg) and diastolic (–2·6 mmHg) blood pressure, total cholesterol (–7·73 mg/dl; –0·20 mmol/l) and LDL-cholesterol (–3·87 mg/dl; –0·10 mmol/l)( Reference Siervo, Lara and Chowdhury 47 ). Evidence is also promising for fasting insulin levels (–0·16 mU/l) and fasting blood glucose (–3·42 mg/dl; –0·19 mmol/l), although the effect on glucose has been marginally significant (P=0·07)( Reference Siervo, Lara and Chowdhury 47 , Reference Shirani, Salehi-Abargouei and Azadbakht 54 ). The magnitude of the change in any single risk factor is small and far to be clinically important per se. But the cumulative alterations in these risk factors can produce noticeable effects. For instance, Siervo et al. ( Reference Siervo, Lara and Chowdhury 47 ) predicted that the above-mentioned changes lead to approximately 13 % decrease in the 10-year Framingham risk score for CVD( Reference Siervo, Lara and Chowdhury 47 ). Also, a meta-analysis of cohort studies showed that a DASH-like diet reduces the risk of CVD, CHD, stroke and heart failure by 20, 21, 19 and 29 %, respectively( Reference Salehi-Abargouei, Maghsoudi and Shirani 246 ). On the other hand, the risk reduction in a single individual may be negligible but small risk reductions in individuals in a population become clinically important( Reference D’Agostino, Vasan and Pencina 247 ). Interventions that promote healthy dietary patterns like DASH or the Mediterranean diet can effectively improve health status and reduce the risk of metabolic diseases( Reference Lara, Hobbs and Moynihan 248 ).

Conclusions

As a healthy diet, DASH contains food items and nutrient composition that help in the prevention of metabolic diseases and control of their risk factors. Epidemiological, observational and interventional studies as well as meta-analyses performed have shown benefits of DASH dietary constituents including K, Mg, Ca, fibre and antioxidants and limited content of total fat, saturated fats and Na on components of the metabolic syndrome. Although implementation of each of the DASH dietary guidelines into the diet can help in the prevention of the metabolic syndrome, combination of these instructions augments the benefits. Nonetheless, randomised clinical trials have not examined the effect of DASH on the metabolic syndrome, in some parts the available data for the effect of DASH dietary items on components of the metabolic syndrome are insufficient to allow performing valuable meta-analyses, and mechanisms of the effects are largely unknown. These areas of research call for further investigations in the future.

Acknowledgements

There are no acknowledgements or funding to declare.

There are no conflicts of interest.

References

Nolan, PB, Carrick-Ranson, G, Stinear, JW, et al. (2017) Prevalence of metabolic syndrome and metabolic syndrome components in young adults: a pooled analysis. Prev Med Rep 7, 211215.CrossRefGoogle ScholarPubMed
O’Neill, S & O’Driscoll, L (2015) Metabolic syndrome: a closer look at the growing epidemic and its associated pathologies. Obes Rev 16, 112.CrossRefGoogle Scholar
Kaur, J (2014) A comprehensive review on metabolic syndrome. Cardiol Res Pract 2014, 943162.CrossRefGoogle ScholarPubMed
Tune, JD, Goodwill, AG, Sassoon, DJ, et al. (2017) Cardiovascular consequences of metabolic syndrome. Transl Res 183, 5770.CrossRefGoogle ScholarPubMed
Lim, HW & Bernstein, DE (2018) Risk factors for the development of nonalcoholic fatty liver disease/nonalcoholic steatohepatitis, including genetics. Clin Liver Dis 22, 3957.CrossRefGoogle ScholarPubMed
Lim, SS, Kakoly, NS, Tan, JWJ, et al. (2019) Metabolic syndrome in polycystic ovary syndrome: a systematic review, meta-analysis and meta-regression. Obes Rev 20, 339352.CrossRefGoogle ScholarPubMed
Micucci, C, Valli, D, Matacchione, G, et al. (2016) Current perspectives between metabolic syndrome and cancer. Oncotarget 7, 3895938972.CrossRefGoogle ScholarPubMed
Michalak, A, Mosińska, P & Fichna, J (2016) Common links between metabolic syndrome and inflammatory bowel disease: current overview and future perspectives. Pharmacol Rep 68, 837846.CrossRefGoogle ScholarPubMed
Nashar, K & Egan, BM (2014) Relationship between chronic kidney disease and metabolic syndrome: current perspectives. Diabetes Metab Syndr Obes 7, 421435.CrossRefGoogle ScholarPubMed
Wu, SH, Liu, Z & Ho, SC (2010) Metabolic syndrome and all-cause mortality: a meta-analysis of prospective cohort studies. Eur J Epidemiol 25, 375384.CrossRefGoogle ScholarPubMed
Finicelli, M, Squillaro, T, Di Cristo, F, et al. (2019) Metabolic syndrome, Mediterranean diet, and polyphenols: evidence and perspectives. J Cell Physiol 234, 58075826.CrossRefGoogle Scholar
United States Department of Agriculture (2014) A series of systematic reviews on the relationship between dietary patterns and health outcomes. https://www.cnpp.usda.gov/nutrition-evidence-librarydietary-patterns-systematic-review-project (accessed November 2018).Google Scholar
Appel, LJ, Moore, TJ, Obarzanek, E, et al. (1997) A clinical trial of the effects of dietary patterns on blood pressure. DASH Collaborative Research Group. N Engl J Med 336, 11171124.CrossRefGoogle ScholarPubMed
Liyanage, T, Ninomiya, T, Wang, A, et al. (2016) Effects of the Mediterranean diet on cardiovascular outcomes – a systematic review and meta-analysis. PLOS ONE 11, e0159252.CrossRefGoogle ScholarPubMed
Salas-Salvadó, J, Becerra-Tomás, N, García-Gavilán, JF, et al. (2018) Mediterranean diet and cardiovascular disease prevention: what do we know? Prog Cardiovasc Dis 61, 6267.CrossRefGoogle ScholarPubMed
Schulze, MB, Martínez-González, MA, Fung, TT, et al. (2018) Food based dietary patterns and chronic disease prevention. BMJ 361, k2396.CrossRefGoogle ScholarPubMed
Lopes, HF, Martin, KL, Nashar, K, et al. (2003) DASH diet lowers blood pressure and lipid-induced oxidative stress in obesity. Hypertension 41, 422430.CrossRefGoogle ScholarPubMed
Asemi, Z, Samimi, M, Tabassi, Z, et al. (2013) A randomized controlled clinical trial investigating the effect of DASH diet on insulin resistance, inflammation, and oxidative stress in gestational diabetes. Nutrition 29, 619624.CrossRefGoogle ScholarPubMed
Craddick, SR, Elmer, PJ, Obarzanek, E, et al. (2003) The DASH diet and blood pressure. Curr Atheroscler Rep 5, 484491.CrossRefGoogle ScholarPubMed
Catena, C, Colussi, G, Nait, F, et al. (2015) Elevated homocysteine levels are associated with the metabolic syndrome and cardiovascular events in hypertensive patients. Am J Hypertens 28, 943950.CrossRefGoogle ScholarPubMed
Ricci, G, Pirillo, I, Tomassoni, D, et al. (2017) Metabolic syndrome, hypertension, and nervous system injury: epidemiological correlates. Clin Exp Hypertens 39, 816.CrossRefGoogle ScholarPubMed
McCracken, E, Monaghan, M & Sreenivasan, S (2018) Pathophysiology of the metabolic syndrome. Clin Dermatol 36, 1420.CrossRefGoogle ScholarPubMed
Alberti, KG, Eckel, RH, Grundy, SM, et al. (2009) Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 120, 16401645.CrossRefGoogle Scholar
Phillips, LK & Prins, JB (2008) The link between abdominal obesity and the metabolic syndrome. Curr Hypertens Rep 10, 156164.CrossRefGoogle ScholarPubMed
Ibrahim, MM (2010) Subcutaneous and visceral adipose tissue: structural and functional differences. Obes Rev 11, 1118.CrossRefGoogle ScholarPubMed
Rachek, LI (2014) Free fatty acids and skeletal muscle insulin resistance. Prog Mol Biol Transl Sci 121, 267292.CrossRefGoogle ScholarPubMed
Ebbert, JO & Jensen, MD (2013) Fat depots, free fatty acids, and dyslipidemia. Nutrients 5, 498508.CrossRefGoogle ScholarPubMed
Asrih, M & Jornayvaz, FR (2015) Metabolic syndrome and nonalcoholic fatty liver disease: is insulin resistance the link? Mol Cell Endocrinol 418, 5565.CrossRefGoogle ScholarPubMed
Samson, SL & Garber, AJ (2014) Metabolic syndrome. Endocrinol Metab Clin North Am 43, 123.CrossRefGoogle ScholarPubMed
Standl, E (2012) Dysglycemia and abdominal obesity. Curr Vasc Pharmacol 10, 678679.CrossRefGoogle ScholarPubMed
Chen, Z, Yu, R, Xiong, Y, et al. (2017) A vicious circle between insulin resistance and inflammation in nonalcoholic fatty liver disease. Lipids Health Dis 16, 203.CrossRefGoogle ScholarPubMed
Paragh, G, Seres, I, Harangi, M, et al. (2014) Dynamic interplay between metabolic syndrome and immunity. Adv Exp Med Biol 824, 171190.CrossRefGoogle ScholarPubMed
Milić, S, Lulić, D & Štimac, D (2014) Non-alcoholic fatty liver disease and obesity: biochemical, metabolic and clinical presentations. World J Gastroenterol 20, 93309337.Google ScholarPubMed
Subramanian, S & Chait, A (2012) Hypertriglyceridemia secondary to obesity and diabetes. Biochim Biophys Acta 1821, 819825.CrossRefGoogle ScholarPubMed
Tenenbaum, A, Klempfner, R & Fisman, EZ (2014) Hypertriglyceridemia: a too long unfairly neglected major cardiovascular risk factor. Cardiovasc Diabetol 13, 159.CrossRefGoogle ScholarPubMed
Putnam, K, Shoemaker, R, Yiannikouris, F, et al. (2012) The renin–angiotensin system: a target of and contributor to dyslipidemias, altered glucose homeostasis, and hypertension of the metabolic syndrome. Am J Physiol Heart Circ Physiol 302, H1219H1230.CrossRefGoogle ScholarPubMed
Kang, YS (2013) Obesity associated hypertension: new insights into mechanism. Electrolyte Blood Press 11, 4652.CrossRefGoogle ScholarPubMed
Sacks, FM, Svetkey, LP, Vollmer, WM, et al. (2001) Effects on blood pressure of reduced dietary sodium and the Dietary Approaches to Stop Hypertension (DASH) diet. DASH-Sodium Collaborative Research Group. N Engl J Med 344, 310.CrossRefGoogle ScholarPubMed
Najafi, A, Faghih, S, Akhlaghi, M, et al. (2018) Greater adherence to the Dietary Approaches to Stop Hypertension (DASH) dietary pattern is associated with lower blood pressure in healthy Iranian primary school children. Eur J Nutr 57, 14491458.CrossRefGoogle ScholarPubMed
Nguyen, H, Odelola, OA, Rangaswami, J, et al. (2013) A review of nutritional factors in hypertension management. Int J Hypertens 2013, 698940.CrossRefGoogle ScholarPubMed
Chen, ST, Maruthur, NM & Appel, LJ (2010) The effect of dietary patterns on estimated coronary heart disease risk: results from the Dietary Approaches to Stop Hypertension (DASH) trial. Circ Cardiovasc Qual Outcomes 3, 484489.CrossRefGoogle ScholarPubMed
Kang, SH, Cho, KH & Do, JY (2018) Association between the modified Dietary Approaches to Stop Hypertension and metabolic syndrome in postmenopausal women without diabetes. Metab Syndr Relat Disord 16, 282289.CrossRefGoogle ScholarPubMed
Asghari, G, Yuzbashian, E, Mirmiran, P, et al. (2016) Dietary Approaches to Stop Hypertension (DASH) dietary pattern is associated with reduced incidence of metabolic syndrome in children and adolescents. J Pediatr 174, 178184.e1.CrossRefGoogle ScholarPubMed
Fung, TT, Chiuve, SE, McCullough, ML, et al. (2008) Adherence to a DASH-style diet and risk of coronary heart disease and stroke in women. Arch Intern Med 168, 713720.CrossRefGoogle ScholarPubMed
Razavi Zade, M, Telkabadi, MH, Bahmani, F, et al. (2016) The effects of DASH diet on weight loss and metabolic status in adults with non-alcoholic fatty liver disease: a randomized clinical trial. Liver Int 36, 563571.CrossRefGoogle ScholarPubMed
Azadbakht, L, Fard, NR, Karimi, M, et al. (2011) Effects of the Dietary Approaches to Stop Hypertension (DASH) eating plan on cardiovascular risks among type 2 diabetic patients: a randomized crossover clinical trial. Diabetes Care 34, 5557.CrossRefGoogle ScholarPubMed
Siervo, M, Lara, J, Chowdhury, S, et al. (2015) Effects of the Dietary Approach to Stop Hypertension (DASH) diet on cardiovascular risk factors: a systematic review and meta-analysis. Br J Nutr 113, 115.CrossRefGoogle ScholarPubMed
Blumenthal, JA, Babyak, MA, Sherwood, A, et al. (2010) Effects of the Dietary Approaches to Stop Hypertension diet alone and in combination with exercise and caloric restriction on insulin sensitivity and lipids. Hypertension 55, 11991205.CrossRefGoogle ScholarPubMed
Soltani, S, Shirani, F, Chitsazi, MJ, et al. (2016) The effect of Dietary Approaches to Stop Hypertension (DASH) diet on weight and body composition in adults: a systematic review and meta-analysis of randomized controlled clinical trials. Obes Rev 17, 442454.CrossRefGoogle ScholarPubMed
Racine, EF, Lyerly, J, Troyer, JL, et al. (2012) The influence of home-delivered Dietary Approaches to Stop Hypertension meals on body mass index, energy intake, and percent of energy needs consumed among older adults with hypertension and/or hyperlipidemia. J Acad Nutr Diet 112, 17551762.CrossRefGoogle ScholarPubMed
Merlotti, C, Ceriani, V, Morabito, A, et al. (2017) Subcutaneous fat loss is greater than visceral fat loss with diet and exercise, weight-loss promoting drugs and bariatric surgery: a critical review and meta-analysis. Int J Obes (Lond) 41, 672682.CrossRefGoogle ScholarPubMed
Chaston, TB & Dixon, JB (2008) Factors associated with percent change in visceral versus subcutaneous abdominal fat during weight loss: findings from a systematic review. Int J Obes (Lond) 32, 619628.CrossRefGoogle ScholarPubMed
Ard, JD, Grambow, SC, Liu, D, et al. (2004) The effect of the PREMIER interventions on insulin sensitivity. Diabetes Care 27, 340347.CrossRefGoogle ScholarPubMed
Shirani, F, Salehi-Abargouei, A & Azadbakht, L (2013) Effects of Dietary Approaches to Stop Hypertension (DASH) diet on some risk for developing type 2 diabetes: a systematic review and meta-analysis on controlled clinical trials. Nutrition 29, 939947.CrossRefGoogle ScholarPubMed
Obarzanek, E, Sacks, FM, Vollmer, WM, et al. (2001) Effects on blood lipids of a blood pressure-lowering diet: the Dietary Approaches to Stop Hypertension (DASH) trial. Am J Clin Nutr 74, 8089.Google ScholarPubMed
Vafeiadou, K, Weech, M, Altowaijri, H, et al. (2015) Replacement of saturated with unsaturated fats had no impact on vascular function but beneficial effects on lipid biomarkers, E-selectin, and blood pressure: results from the randomized, controlled Dietary Intervention and VAScular function (DIVAS) study. Am J Clin Nutr 102, 4048.CrossRefGoogle ScholarPubMed
Schüler, R, Osterhoff, MA, Frahnow, T, et al. (2017) High-saturated-fat diet increases circulating angiotensin-converting enzyme, which is enhanced by the rs4343 polymorphism defining persons at risk of nutrient-dependent increases of blood pressure. J Am Heart Assoc 6, e004465.CrossRefGoogle ScholarPubMed
Houston, MC & Harper, KJ (2008) Potassium, magnesium, and calcium: their role in both the cause and treatment of hypertension. J Clin Hypertens (Greenwich) 10, Suppl., 311.CrossRefGoogle ScholarPubMed
Aleixandre, A & Miguel, M (2016) Dietary fiber and blood pressure control. Food Funct 7, 18641871.CrossRefGoogle ScholarPubMed
Al-Solaiman, Y, Jesri, A, Mountford, WK, et al. (2010) DASH lowers blood pressure in obese hypertensives beyond potassium, magnesium and fibre. J Hum Hypertens 24, 237246.CrossRefGoogle ScholarPubMed
Houston, MC (2011) The importance of potassium in managing hypertension. Curr Hypertens Rep 13, 309317.CrossRefGoogle ScholarPubMed
Khaw, KT & Rose, G (1982) Population study of blood pressure and associated factors in St Lucia, West Indies. Int J Epidemiol 11, 372377.CrossRefGoogle Scholar
Anonymous (1988) Sodium, potassium, body mass, alcohol and blood pressure: the INTERSALT Study. The INTERSALT Co-operative Research Group. J Hypertens Suppl 6, S584S586.CrossRefGoogle Scholar
Binia, A, Jaeger, J, Hu, Y, et al. (2015) Daily potassium intake and sodium-to-potassium ratio in the reduction of blood pressure: a meta-analysis of randomized controlled trials. J Hypertens 33, 15091520.CrossRefGoogle ScholarPubMed
Appel, LJ, Brands, MW, Daniels, SR, et al. (2006) Dietary approaches to prevent and treat hypertension: a scientific statement from the American Heart Association. Hypertension 47, 296308.CrossRefGoogle ScholarPubMed
Appel, LJ, Giles, TD, Black, HR, et al. (2010) ASH position paper: dietary approaches to lower blood pressure. J Am Soc Hypertens 4, 7989.CrossRefGoogle ScholarPubMed
Rodrigues, SL, Baldo, MP, Machado, RC, et al. (2014) High potassium intake blunts the effect of elevated sodium intake on blood pressure levels. J Am Soc Hypertens 8, 232238.CrossRefGoogle ScholarPubMed
Zhang, Z, Cogswell, ME, Gillespie, C, et al. (2013) Association between usual sodium and potassium intake and blood pressure and hypertension among U.S. adults: NHANES 2005–2010. PLOS ONE 8, e75289.CrossRefGoogle ScholarPubMed
Cook, NR, Obarzanek, E, Cutler, JA, et al. (2009) Joint effects of sodium and potassium intake on subsequent cardiovascular disease: the Trials of Hypertension Prevention follow-up study. Arch Intern Med 169, 3240.CrossRefGoogle ScholarPubMed
Chu, C, Wang, Y, Ren, KY, et al. (2016) Genetic variants in adiponectin and blood pressure responses to dietary sodium or potassium interventions: a family-based association study. J Hum Hypertens 30, 563570.CrossRefGoogle ScholarPubMed
Haddy, FJ, Vanhoutte, PM & Feletou, M (2006) Role of potassium in regulating blood flow and blood pressure. Am J Physiol Regul Integr Comp Physiol 290, R546R552.CrossRefGoogle ScholarPubMed
Stone, MS, Martyn, L & Weaver, CM (2016) Potassium intake, bioavailability, hypertension, and glucose control. Nutrients 8, E444.CrossRefGoogle ScholarPubMed
He, FJ & MacGregor, GA (2008) Beneficial effects of potassium on human health. Physiol Plant 133, 725735.CrossRefGoogle ScholarPubMed
Chatterjee, R, Yeh, HC, Shafi, T, et al. (2010) Serum and dietary potassium and risk of incident type 2 diabetes mellitus: The Atherosclerosis Risk in Communities (ARIC) study. Arch Intern Med 170, 17451751.CrossRefGoogle ScholarPubMed
Chatterjee, R, Colangelo, LA, Yeh, HC, et al. (2012) Potassium intake and risk of incident type 2 diabetes mellitus: the Coronary Artery Risk Development in Young Adults (CARDIA) Study. Diabetologia 55, 12951303.CrossRefGoogle ScholarPubMed
Peng, Y, Zhong, GC, Mi, Q, et al. (2017) Potassium measurements and risk of type 2 diabetes: a dose–response meta-analysis of prospective cohort studies. Oncotarget 8, 100603100613.CrossRefGoogle ScholarPubMed
Ashcroft, FM (2005) ATP-sensitive potassium channelopathies: focus on insulin secretion. J Clin Invest 115, 20472058.CrossRefGoogle ScholarPubMed
Wen, W, Wan, Z, Zhou, D, et al. (2017) The amelioration of insulin resistance in salt loading subjects by potassium supplementation is associated with a reduction in plasma IL-17A levels. Exp Clin Endocrinol Diabetes 125, 571576.Google ScholarPubMed
Sterns, RH, Grieff, M & Bernstein, PL (2016) Treatment of hyperkalemia: something old, something new. Kidney Int 89, 546554.CrossRefGoogle ScholarPubMed
Taylor, EN, Stampfer, MJ, Mount, DB, et al. (2010) DASH-style diet and 24-hour urine composition. Clin J Am Soc Nephrol 5, 23152322.CrossRefGoogle ScholarPubMed
Gröber, U, Schmidt, J & Kisters, K (2015) Magnesium in prevention and therapy. Nutrients 7, 81998226.CrossRefGoogle ScholarPubMed
Han, H, Fang, X, Wei, X, et al. (2017) Dose–response relationship between dietary magnesium intake, serum magnesium concentration and risk of hypertension: a systematic review and meta-analysis of prospective cohort studies. Nutr J 16, 26.CrossRefGoogle ScholarPubMed
Kass, L, Weekes, J & Carpenter, L (2012) Effect of magnesium supplementation on blood pressure: a meta-analysis. Eur J Clin Nutr 66, 411418.CrossRefGoogle ScholarPubMed
Zhang, X, Li, Y, Del Gobbo, LC, et al. (2016) Effects of magnesium supplementation on blood pressure: a meta-analysis of randomized double-blind placebo-controlled trials. Hypertension 68, 324333.CrossRefGoogle ScholarPubMed
Schutten, JC, Joosten, MM, de Borst, MH, et al. (2018) Magnesium and blood pressure: a physiology-based approach. Adv Chronic Kidney Dis 25, 244250.CrossRefGoogle ScholarPubMed
Kostov, K & Halacheva, L (2018) Role of magnesium deficiency in promoting atherosclerosis, endothelial dysfunction, and arterial stiffening as risk factors for hypertension. Int J Mol Sci 19, E1724.CrossRefGoogle ScholarPubMed
Sontia, B & Touyz, RM (2007) Role of magnesium in hypertension. Arch Biochem Biophys 458, 3339.CrossRefGoogle ScholarPubMed
Joris, PJ, Plat, J, Bakker, SJ, et al. (2016) Long-term magnesium supplementation improves arterial stiffness in overweight and obese adults: results of a randomized, double-blind, placebo-controlled intervention trial. Am J Clin Nutr 103, 12601266.CrossRefGoogle ScholarPubMed
Song, Y, Li, TY, van Dam, RM, et al. (2007) Magnesium intake and plasma concentrations of markers of systemic inflammation and endothelial dysfunction in women. Am J Clin Nutr 85, 10681074.CrossRefGoogle ScholarPubMed
Barbagallo, M, Dominguez, LJ & Resnick, LM (2007) Magnesium metabolism in hypertension and type 2 diabetes mellitus. Am J Ther 14, 375385.CrossRefGoogle ScholarPubMed
He, K, Liu, K, Daviglus, ML, et al. (2006) Magnesium intake and incidence of metabolic syndrome among young adults. Circulation 113, 16751682.CrossRefGoogle ScholarPubMed
Hata, A, Doi, Y, Ninomiya, T, et al. (2013) Magnesium intake decreases type 2 diabetes risk through the improvement of insulin resistance and inflammation: the Hisayama Study. Diabet Med 30, 14871494.CrossRefGoogle ScholarPubMed
Schulze, MB, Schulz, M, Heidemann, C, et al. (2007) Fiber and magnesium intake and incidence of type 2 diabetes: a prospective study and meta-analysis. Arch Intern Med 167, 956965.CrossRefGoogle ScholarPubMed
Wu, J, Xun, P, Tang, Q, et al. (2017) Circulating magnesium levels and incidence of coronary heart diseases, hypertension, and type 2 diabetes mellitus: a meta-analysis of prospective cohort studies. Nutr J 16, 60.CrossRefGoogle ScholarPubMed
Rodríguez-Morán, M & Guerrero-Romero, F (2011) Insulin secretion is decreased in non-diabetic individuals with hypomagnesaemia. Diabetes Metab Res Rev 27, 590596.CrossRefGoogle ScholarPubMed
Guerrero-Romero, F & Rodríguez-Morán, M (2011) Magnesium improves the β-cell function to compensate variation of insulin sensitivity: double-blind, randomized clinical trial. Eur J Clin Invest 41, 405410.CrossRefGoogle ScholarPubMed
Wang, J, Persuitte, G, Olendzki, BC, et al. (2013) Dietary magnesium intake improves insulin resistance among non-diabetic individuals with metabolic syndrome participating in a dietary trial. Nutrients 5, 39103919.CrossRefGoogle Scholar
Morais, JB, Severo, JS, Santos, LR, et al. (2017) Role of magnesium in oxidative stress in individuals with obesity. Biol Trace Elem Res 176, 2026.CrossRefGoogle ScholarPubMed
Song, Y, He, K, Levitan, EB, et al. (2006) Effects of oral magnesium supplementation on glycaemic control in type 2 diabetes: a meta-analysis of randomized double-blind controlled trials. Diabet Med 23, 10501056.CrossRefGoogle ScholarPubMed
Veronese, N, Watutantrige-Fernando, S, Luchini, C, et al. (2016) Effect of magnesium supplementation on glucose metabolism in people with or at risk of diabetes: a systematic review and meta-analysis of double-blind randomized controlled trials. Eur J Clin Nutr 70, 13541359.CrossRefGoogle ScholarPubMed
Simental-Mendía, LE, Sahebkar, A, Rodríguez-Morán, M, et al. (2016) A systematic review and meta-analysis of randomized controlled trials on the effects of magnesium supplementation on insulin sensitivity and glucose control. Pharmacol Res 111, 272282.CrossRefGoogle ScholarPubMed
Gommers, LM, Hoenderop, JG, Bindels, RJ, et al. (2016) Hypomagnesemia in type 2 diabetes: a vicious circle? Diabetes 65, 313.CrossRefGoogle ScholarPubMed
Wang, W, Wu, Y & Zhang, D (2016) Association of dairy products consumption with risk of obesity in children and adults: a meta-analysis of mainly cross-sectional studies. Ann Epidemiol 26, 870882.e2.CrossRefGoogle ScholarPubMed
Chen, M, Pan, A, Malik, VS, et al. (2012) Effects of dairy intake on body weight and fat: a meta-analysis of randomized controlled trials. Am J Clin Nutr 96, 735747.CrossRefGoogle ScholarPubMed
Booth, AO, Huggins, CE, Wattanapenpaiboon, N, et al. (2015) Effect of increasing dietary calcium through supplements and dairy food on body weight and body composition: a meta-analysis of randomised controlled trials. Br J Nutr 114, 10131025.CrossRefGoogle ScholarPubMed
Abargouei, AS, Janghorbani, M, Salehi-Marzijarani, M, et al. (2012) Effect of dairy consumption on weight and body composition in adults: a systematic review and meta-analysis of randomized controlled clinical trials. Int J Obes (Lond) 36, 14851493.CrossRefGoogle ScholarPubMed
Wennersberg, MH, Smedman, A, Turpeinen, AM, et al. (2009) Dairy products and metabolic effects in overweight men and women: results from a 6-mo intervention study. Am J Clin Nutr 90, 960968.CrossRefGoogle ScholarPubMed
Park, J, Lee, JS & Kim, J (2010) Relationship between dietary sodium, potassium, and calcium, anthropometric indexes, and blood pressure in young and middle aged Korean adults. Nutr Res Pract 4, 155162.CrossRefGoogle Scholar
Christensen, R, Lorenzen, JK, Svith, CR, et al. (2009) Effect of calcium from dairy and dietary supplements on faecal fat excretion: a meta-analysis of randomized controlled trials. Obes Rev 10, 475486.CrossRefGoogle ScholarPubMed
Zemel, MB, Teegarden, D, Loan, MV, et al. (2009) Dairy-rich diets augment fat loss on an energy-restricted diet: a multicenter trial. Nutrients 1, 83100.CrossRefGoogle Scholar
Zemel, MB, Thompson, W, Milstead, A, et al. (2004) Calcium and dairy acceleration of weight and fat loss during energy restriction in obese adults. Obes Res 12, 582590.CrossRefGoogle ScholarPubMed
Zemel, MB (2002) Regulation of adiposity and obesity risk by dietary calcium: mechanisms and implications. J Am Coll Nutr 21, 146S151S.CrossRefGoogle ScholarPubMed
Bendtsen, LQ, Lorenzen, JK, Bendsen, NT, et al. (2013) Effect of dairy proteins on appetite, energy expenditure, body weight, and composition: a review of the evidence from controlled clinical trials. Adv Nutr 4, 418438.CrossRefGoogle ScholarPubMed
Dougkas, A, Reynolds, CK, Givens, ID, et al. (2011) Associations between dairy consumption and body weight: a review of the evidence and underlying mechanisms. Nutr Res Rev 24, 7295.CrossRefGoogle ScholarPubMed
Alonso, A, Zozaya, C, Vázquez, Z, et al. (2009) The effect of low-fat versus whole-fat dairy product intake on blood pressure and weight in young normotensive adults. J Hum Nutr Diet 22, 336342.CrossRefGoogle ScholarPubMed
Pittas, AG, Lau, J, Hu, FB, et al. (2007) The role of vitamin D and calcium in type 2 diabetes. A systematic review and meta-analysis. J Clin Endocrinol Metab 92, 20172029.CrossRefGoogle ScholarPubMed
Aune, D, Norat, T, Romundstad, P, et al. (2013) Dairy products and the risk of type 2 diabetes: a systematic review and dose–response meta-analysis of cohort studies. Am J Clin Nutr 98, 10661083.CrossRefGoogle ScholarPubMed
Fumeron, F, Lamri, A, Abi Khalil, C, et al. (2011) Dairy consumption and the incidence of hyperglycemia and the metabolic syndrome: results from a French prospective study, data from the Epidemiological Study on the Insulin Resistance Syndrome (DESIR). Diabetes Care 34, 813817.CrossRefGoogle Scholar
Elwood, PC, Pickering, JE & Fehily, AM (2007) Milk and dairy consumption, diabetes and the metabolic syndrome: the Caerphilly Prospective Study. J Epidemiol Community Health 61, 695698.CrossRefGoogle ScholarPubMed
Ballard, KD & Bruno, RS (2015) Protective role of dairy and its constituents on vascular function independent of blood pressure-lowering activities. Nutr Rev 73, 3650.CrossRefGoogle ScholarPubMed
Nilsson, M, Stenberg, M, Frid, AH, et al. (2004) Glycemia and insulinemia in healthy subjects after lactose-equivalent meals of milk and other food proteins: the role of plasma amino acids and incretins. Am J Clin Nutr 80, 12461253.CrossRefGoogle ScholarPubMed
Soedamah-Muthu, SS, Verberne, LD, Ding, EL, et al. (2012) Dairy consumption and incidence of hypertension: a dose–response meta-analysis of prospective cohort studies. Hypertension 60, 11311137.CrossRefGoogle ScholarPubMed
Ralston, RA, Lee, JH, Truby, H, et al. (2012) A systematic review and meta-analysis of elevated blood pressure and consumption of dairy foods. J Hum Hypertens 26, 313.CrossRefGoogle ScholarPubMed
Toledo, E, Delgado-Rodríguez, M, Estruch, R, et al. (2009) Low-fat dairy products and blood pressure: follow-up of 2290 older persons at high cardiovascular risk participating in the PREDIMED study. Br J Nutr 101, 5967.CrossRefGoogle ScholarPubMed
Fekete, ÁA, Givens, DI & Lovegrove, JA (2013) The impact of milk proteins and peptides on blood pressure and vascular function: a review of evidence from human intervention studies. Nutr Res Rev 26, 177190.CrossRefGoogle ScholarPubMed
Nakamura, T, Mizutani, J, Ohki, K, et al. (2011) Casein hydrolysate containing Val-Pro-Pro and Ile-Pro-Pro improves central blood pressure and arterial stiffness in hypertensive subjects: a randomized, double-blind, placebo-controlled trial. Atherosclerosis 219, 298303.CrossRefGoogle ScholarPubMed
Boelsma, E & Kloek, J (2009) Lactotripeptides and antihypertensive effects: a critical review. Br J Nutr 101, 776786.CrossRefGoogle ScholarPubMed
Eckel, RH, Jakicic, JM, Ard, JD, et al. (2014) 2013 AHA/ACC guideline on lifestyle management to reduce cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol 63, 29602984.CrossRefGoogle Scholar
Van Horn, L (2015) Dietary sodium and blood pressure: how low should we go? Prog Cardiovasc Dis 58, 6168.CrossRefGoogle Scholar
Graudal, N, Jürgens, G, Baslund, B, et al. (2014) Compared with usual sodium intake, low- and excessive-sodium diets are associated with increased mortality: a meta-analysis. Am J Hypertens 27, 11291137.CrossRefGoogle ScholarPubMed
Feng, W, Dell’Italia, LJ & Sanders, PW (2017) Novel paradigms of salt and hypertension. J Am Soc Nephrol 28, 13621369.CrossRefGoogle ScholarPubMed
Shimosawa, T (2013) Salt, the renin–angiotensin–aldosterone system and resistant hypertension. Hypertens Res 36, 657660.CrossRefGoogle ScholarPubMed
Gavras, I & Gavras, H (2012) ‘Volume-expanded’ hypertension: the effect of fluid overload and the role of the sympathetic nervous system in salt-dependent hypertension. J Hypertens 30, 655659.CrossRefGoogle ScholarPubMed
Liu, G, Hitomi, H, Rahman, A, et al. (2014) High sodium augments angiotensin II-induced vascular smooth muscle cell proliferation through the ERK 1/2-dependent pathway. Hypertens Res 37, 1318.CrossRefGoogle ScholarPubMed
Boegehold, MA (2013) The effect of high salt intake on endothelial function: reduced vascular nitric oxide in the absence of hypertension. J Vasc Res 50, 458467.CrossRefGoogle ScholarPubMed
Luther, JM, Byrne, LM, Yu, C, et al. (2014) Dietary sodium restriction decreases insulin secretion without affecting insulin sensitivity in humans. J Clin Endocrinol Metab 99, E1895E1902.CrossRefGoogle ScholarPubMed
Mosso, LM, Carvajal, CA, Maiz, A, et al. (2007) A possible association between primary aldosteronism and a lower β-cell function. J Hypertens 25, 21252130.CrossRefGoogle Scholar
Colussi, G, Catena, C, Lapenna, R, et al. (2007) Insulin resistance and hyperinsulinemia are related to plasma aldosterone levels in hypertensive patients. Diabetes Care 30, 23492354.CrossRefGoogle ScholarPubMed
Cho, SS, Qi, L, Fahey, GC Jr, et al. (2013) Consumption of cereal fiber, mixtures of whole grains and bran, and whole grains and risk reduction in type 2 diabetes, obesity, and cardiovascular disease. Am J Clin Nutr 98, 594619.CrossRefGoogle Scholar
Thompson, SV, Hannon, BA, An, R, et al. (2017) Effects of isolated soluble fiber supplementation on body weight, glycemia, and insulinemia in adults with overweight and obesity: a systematic review and meta-analysis of randomized controlled trials. Am J Clin Nutr 106, 15141528.CrossRefGoogle ScholarPubMed
Papathanasopoulos, A & Camilleri, M (2010) Dietary fiber supplements: effects in obesity and metabolic syndrome and relationship to gastrointestinal functions. Gastroenterology 138, 6572.e2.CrossRefGoogle ScholarPubMed
Weickert, MO & Pfeiffer, AFH (2018) Impact of dietary fiber consumption on insulin resistance and the prevention of type 2 diabetes. J Nutr 148, 712.CrossRefGoogle ScholarPubMed
Nilsson, A, Johansson, E, Ekström, L, et al. (2013) Effects of a brown beans evening meal on metabolic risk markers and appetite regulating hormones at a subsequent standardized breakfast: a randomized cross-over study. PLOS ONE 8, e59985.CrossRefGoogle Scholar
Byrne, CS, Chambers, ES, Morrison, DJ, et al. (2015) The role of short chain fatty acids in appetite regulation and energy homeostasis. Int J Obes (Lond) 39, 13311338.CrossRefGoogle ScholarPubMed
de Munter, JS, Hu, FB, Spiegelman, D, et al. (2007) Whole grain, bran, and germ intake and risk of type 2 diabetes: a prospective cohort study and systematic review. PLoS Med 4, e261.CrossRefGoogle ScholarPubMed
Yao, B, Fang, H, Xu, W, et al. (2014) Dietary fiber intake and risk of type 2 diabetes: a dose–response analysis of prospective studies. Eur J Epidemiol 29, 7988.CrossRefGoogle ScholarPubMed
InterAct Consortium (2015) Dietary fibre and incidence of type 2 diabetes in eight European countries: the EPIC-InterAct Study and a meta-analysis of prospective studies. Diabetologia 58, 13941408.CrossRefGoogle Scholar
Barclay, AW, Petocz, P, McMillan-Price, J, et al. (2008) Glycemic index, glycemic load, and chronic disease risk – a meta-analysis of observational studies. Am J Clin Nutr 87, 627637.CrossRefGoogle Scholar
Brand-Miller, J, Hayne, S, Petocz, P, et al. (2003) Low-glycemic index diets in the management of diabetes: a meta-analysis of randomized controlled trials. Diabetes Care 26, 22612267.CrossRefGoogle ScholarPubMed
Thomas, D & Elliott, EJ (2009) Low glycaemic index, or low glycaemic load, diets for diabetes mellitus. Cochrane Database Syst Rev, issue 1, CD006296.CrossRefGoogle Scholar
Post, RE, Mainous, AG 3rd, King, DE, et al. (2012) Dietary fiber for the treatment of type 2 diabetes mellitus: a meta-analysis. J Am Board Fam Med 25, 1623.CrossRefGoogle ScholarPubMed
Silva, FM, Kramer, CK, de Almeida, JC, et al. (2013) Fiber intake and glycemic control in patients with type 2 diabetes mellitus: a systematic review with meta-analysis of randomized controlled trials. Nutr Rev 71, 790801.CrossRefGoogle ScholarPubMed
Bajorek, SA & Morello, CM (2010) Effects of dietary fiber and low glycemic index diet on glucose control in subjects with type 2 diabetes mellitus. Ann Pharmacother 44, 17861792.CrossRefGoogle ScholarPubMed
Scheithauer, TP, Dallinga-Thie, GM, de Vos, WM, et al. (2016) Causality of small and large intestinal microbiota in weight regulation and insulin resistance. Mol Metab 5, 759770.CrossRefGoogle ScholarPubMed
Canfora, EE, Jocken, JW & Blaak, EE (2015) Short-chain fatty acids in control of body weight and insulin sensitivity. Nat Rev Endocrinol 11, 577591.CrossRefGoogle ScholarPubMed
den Besten, G, van Eunen, K, Groen, AK, et al. (2013) The role of short-chain fatty acids in the interplay between diet, gut microbiota, and host energy metabolism. J Lipid Res 54, 23252340.CrossRefGoogle ScholarPubMed
Dahl, WJ, Agro, NC, Eliasson, ÅM, et al. (2017) Health benefits of fiber fermentation. J Am Coll Nutr 36, 127136.CrossRefGoogle ScholarPubMed
Kuo, SM (2013) The interplay between fiber and the intestinal microbiome in the inflammatory response. Adv Nutr 4, 1628.CrossRefGoogle ScholarPubMed
Davison, KM & Temple, NJ (2018) Cereal fiber, fruit fiber, and type 2 diabetes: explaining the paradox. J Diabetes Complications 32, 240245.CrossRefGoogle ScholarPubMed
Weickert, MO, Mohlig, M, Koebnick, C, et al. (2005) Impact of cereal fibre on glucose-regulating factors. Diabetologia 48, 23432353.CrossRefGoogle ScholarPubMed
Weickert, MO, Roden, M, Isken, F, et al. (2011) Effects of supplemented isoenergetic diets differing in cereal fiber and protein content on insulin sensitivity in overweight humans. Am J Clin Nutr 94, 459471.CrossRefGoogle ScholarPubMed
McRae, MP (2017) Dietary fiber is beneficial for the prevention of cardiovascular disease: an umbrella review of meta-analyses. J Chiropr Med 16, 289299.CrossRefGoogle ScholarPubMed
Jovanovski, E, Yashpal, S, Komishon, A, et al. (2018) Effect of psyllium (Plantago ovata) fiber on LDL cholesterol and alternative lipid targets, non-HDL cholesterol and apolipoprotein B: a systematic review and meta-analysis of randomized controlled trials. Am J Clin Nutr 108, 922932.CrossRefGoogle ScholarPubMed
Ho, HVT, Jovanovski, E, Zurbau, A, et al. (2017) A systematic review and meta-analysis of randomized controlled trials of the effect of konjac glucomannan, a viscous soluble fiber, on LDL cholesterol and the new lipid targets non-HDL cholesterol and apolipoprotein B. Am J Clin Nutr 105, 12391247.CrossRefGoogle ScholarPubMed
Williams, PG (2014) The benefits of breakfast cereal consumption: a systematic review of the evidence base. Adv Nutr 5, 636S673S.CrossRefGoogle ScholarPubMed
Hartley, L, May, MD, Loveman, E, et al. (2016) Dietary fibre for the primary prevention of cardiovascular disease. Cochrane Database Syst Rev, issue 1, CD011472.CrossRefGoogle Scholar
Gunness, P & Gidley, MJ (2010) Mechanisms underlying the cholesterol-lowering properties of soluble dietary fibre polysaccharides. Food Funct 1, 149155.CrossRefGoogle ScholarPubMed
Chen, Y, Xu, C, Huang, R, et al. (2018) Butyrate from pectin fermentation inhibits intestinal cholesterol absorption and attenuates atherosclerosis in apolipoprotein E-deficient mice. J Nutr Biochem 56, 175182.CrossRefGoogle ScholarPubMed
van Bennekum, AM, Nguyen, DV, Schulthess, G, et al. (2005) Mechanisms of cholesterol-lowering effects of dietary insoluble fibres: relationships with intestinal and hepatic cholesterol parameters. Br J Nutr 94, 331337.CrossRefGoogle ScholarPubMed
Khan, K, Jovanovski, E, Ho, HVT, et al. (2018) The effect of viscous soluble fiber on blood pressure: a systematic review and meta-analysis of randomized controlled trials. Nutr Metab Cardiovasc Dis 28, 313.CrossRefGoogle ScholarPubMed
Whelton, SP, Hyre, AD, Pedersen, B, et al. (2005) Effect of dietary fiber intake on blood pressure: a meta-analysis of randomized, controlled clinical trials. J Hypertens 23, 475481.CrossRefGoogle ScholarPubMed
Sarafidis, PA & Bakris, GL (2007) The antinatriuretic effect of insulin: an unappreciated mechanism for hypertension associated with insulin resistance? Am J Nephrol 27, 4454.CrossRefGoogle ScholarPubMed
Aljuraiban, GS, Griep, LM, Chan, Q, et al. (2015) Total, insoluble and soluble dietary fibre intake in relation to blood pressure: the INTERMAP Study. Br J Nutr 114, 14801486.CrossRefGoogle ScholarPubMed
Tuñón, J, Martín-Ventura, JL, Blanco-Colio, LM, et al. (2007) Common pathways of hypercholesterolemia and hypertension leading to atherothrombosis: the need for a global approach in the management of cardiovascular risk factors. Vasc Health Risk Manag 3, 521526.Google ScholarPubMed
Ford, ES (2006) Intake and circulating concentrations of antioxidants in metabolic syndrome. Curr Atheroscler Rep 8, 448452.CrossRefGoogle ScholarPubMed
Ilkun, O & Boudina, S (2013) Cardiac dysfunction and oxidative stress in the metabolic syndrome: an update on antioxidant therapies. Curr Pharm Des 19, 48064817.CrossRefGoogle ScholarPubMed
Godala, M, Materek-Kuśmierkiewicz, I, Moczulski, D, et al. (2017) The risk of plasma vitamin A, C, E and D deficiency in patients with metabolic syndrome: a case–control study. Adv Clin Exp Med 26, 581586.CrossRefGoogle Scholar
Gregório, BM, De Souza, DB, de Morais Nascimento, FA, et al. (2016) The potential role of antioxidants in metabolic syndrome. Curr Pharm Des 22, 859869.CrossRefGoogle ScholarPubMed
Hosseini, B, Saedisomeolia, A & Allman-Farinelli, M (2017) Association between antioxidant intake/status and obesity: a systematic review of observational studies. Biol Trace Elem Res 175, 287297.10.1007/s12011-016-0785-1CrossRefGoogle ScholarPubMed
Akhlaghi, M, Ghobadi, S, Mohammad Hosseini, M, et al. (2018) Flavanols are potential anti-obesity agents, a systematic review and meta-analysis of controlled clinical trials. Nutr Metab Cardiovasc Dis 28, 675690.CrossRefGoogle ScholarPubMed
Akhlaghi, M, Zare, M & Nouripour, F (2017) Effect of soy and soy isoflavones on obesity-related anthropometric measures: a systematic review and meta-analysis of randomized controlled clinical trials. Adv Nutr 8, 705717.CrossRefGoogle ScholarPubMed
Castro-Barquero, S, Lamuela-Raventós, RM, Doménech, M, et al. (2018) Relationship between Mediterranean dietary polyphenol intake and obesity. Nutrients 10, E1523.CrossRefGoogle ScholarPubMed
Akhlaghi, M (2016) Non-alcoholic fatty liver disease: beneficial effects of flavonoids. Phytother Res 30, 15591571.CrossRefGoogle ScholarPubMed
Akhlaghi, M & Kohanmoo, A (2018) Mechanisms of anti-obesity effects of catechins: a review. Int J Nutr Sci 3, 127132.Google Scholar
Jamar, G, Estadella, D & Pisani, LP (2017) Contribution of anthocyanin-rich foods in obesity control through gut microbiota interactions. Biofactors 43, 507516.CrossRefGoogle ScholarPubMed
Lin, JK & Lin-Shiau, SY (2006) Mechanisms of hypolipidemic and anti-obesity effects of tea and tea polyphenols. Mol Nutr Food Res 50, 211217.CrossRefGoogle ScholarPubMed
Bonet, ML, Canas, JA, Ribot, J, et al. (2015) Carotenoids and their conversion products in the control of adipocyte function, adiposity and obesity. Arch Biochem Biophys 572, 112125.CrossRefGoogle ScholarPubMed
Garcia-Diaz, DF, Lopez-Legarrea, P, Quintero, P, et al. (2014) Vitamin C in the treatment and/or prevention of obesity. J Nutr Sci Vitaminol (Tokyo) 60, 367379.CrossRefGoogle ScholarPubMed
Iso, H, Date, C, Wakai, K, et al. (2006) The relationship between green tea and total caffeine intake and risk for self-reported type 2 diabetes among Japanese adults. Ann Intern Med 144, 554562.CrossRefGoogle ScholarPubMed
Sugiura, M, Nakamura, M, Ogawa, K, et al. (2015) High-serum carotenoids associated with lower risk for developing type 2 diabetes among Japanese subjects: Mikkabi cohort study. BMJ Open Diabetes Res Care 3, e000147.CrossRefGoogle ScholarPubMed
Dragan, S, Andrica, F, Serban, MC, et al. (2015) Polyphenols-rich natural products for treatment of diabetes. Curr Med Chem 22, 1422.CrossRefGoogle ScholarPubMed
Domínguez Avila, JA, Rodrigo García, J, González Aguilar, GA, et al. (2017) The antidiabetic mechanisms of polyphenols related to increased glucagon-like peptide-1 (GLP1) and insulin signaling. Molecules 22, E903.CrossRefGoogle ScholarPubMed
Umeno, A, Horie, M, Murotomi, K, et al. (2016) Antioxidative and antidiabetic effects of natural polyphenols and isoflavones. Molecules 21, E708.CrossRefGoogle ScholarPubMed
Munir, KM, Chandrasekaran, S, Gao, F, et al. (2013) Mechanisms for food polyphenols to ameliorate insulin resistance and endothelial dysfunction: therapeutic implications for diabetes and its cardiovascular complications. Am J Physiol Endocrinol Metab 305, E679E686.CrossRefGoogle ScholarPubMed
Xu, W, Shao, R & Xiao, J (2016) Is there consistency between the binding affinity and inhibitory potential of natural polyphenols as α-amylase inhibitors? Crit Rev Food Sci Nutr 56, 16301639.CrossRefGoogle ScholarPubMed
Suksomboon, N, Poolsup, N & Sinprasert, S (2011) Effects of vitamin E supplementation on glycaemic control in type 2 diabetes: systematic review of randomized controlled trials. J Clin Pharm Ther 36, 5363.CrossRefGoogle ScholarPubMed
Xu, R, Zhang, S, Tao, A, et al. (2014) Influence of vitamin E supplementation on glycaemic control: a meta-analysis of randomised controlled trials. PLOS ONE 9, e95008.CrossRefGoogle ScholarPubMed
Khodaeian, M, Tabatabaei-Malazy, O, Qorbani, M, et al. (2015) Effect of vitamins C and E on insulin resistance in diabetes: a meta-analysis study. Eur J Clin Invest 45, 11611174.CrossRefGoogle Scholar
Tabatabaei-Malazy, O, Nikfar, S, Larijani, B, et al. (2014) Influence of ascorbic acid supplementation on type 2 diabetes mellitus in observational and randomized controlled trials; a systematic review with meta-analysis. J Pharm Pharm Sci 17, 554582.CrossRefGoogle ScholarPubMed
Ashor, AW, Werner, AD, Lara, J, et al. (2017) Effects of vitamin C supplementation on glycaemic control: a systematic review and meta-analysis of randomised controlled trials. Eur J Clin Nutr 71, 13711380.CrossRefGoogle ScholarPubMed
Henriksen, EJ, Diamond-Stanic, MK & Marchionne, EM (2011) Oxidative stress and the etiology of insulin resistance and type 2 diabetes. Free Radic Biol Med 51, 993999.CrossRefGoogle ScholarPubMed
Ceriello, A & Motz, E (2004) Is oxidative stress the pathogenic mechanism underlying insulin resistance, diabetes, and cardiovascular disease? The common soil hypothesis revisited. Arterioscler Thromb Vasc Biol 24, 816823.CrossRefGoogle ScholarPubMed
Roohbakhsh, A, Karimi, G & Iranshahi, M (2017) Carotenoids in the treatment of diabetes mellitus and its complications: a mechanistic review. Biomed Pharmacother 91, 3142.CrossRefGoogle ScholarPubMed
McRae, MP (2008) Vitamin C supplementation lowers serum low-density lipoprotein cholesterol and triglycerides: a meta-analysis of 13 randomized controlled trials. J Chiropr Med 7, 4858.CrossRefGoogle ScholarPubMed
Kim, A, Chiu, A, Barone, MK, et al. (2011) Green tea catechins decrease total and low-density lipoprotein cholesterol: a systematic review and meta-analysis. J Am Diet Assoc 111, 17201729.CrossRefGoogle ScholarPubMed
Zheng, XX, Xu, YL, Li, SH, et al. (2011) Green tea intake lowers fasting serum total and LDL cholesterol in adults: a meta-analysis of 14 randomized controlled trials. Am J Clin Nutr 94, 601610.CrossRefGoogle ScholarPubMed
Tokede, OA, Gaziano, JM & Djoussé, L (2011) Effects of cocoa products/dark chocolate on serum lipids: a meta-analysis. Eur J Clin Nutr 65, 879886.CrossRefGoogle ScholarPubMed
Bursill, CA, Abbey, M & Roach, PD (2007) A green tea extract lowers plasma cholesterol by inhibiting cholesterol synthesis and upregulating the LDL receptor in the cholesterol-fed rabbit. Atherosclerosis 193, 8693.CrossRefGoogle Scholar
Kobayashi, M, Nishizawa, M, Inoue, N, et al. (2014) Epigallocatechin gallate decreases the micellar solubility of cholesterol via specific interaction with phosphatidylcholine. J Agric Food Chem 62, 28812890.CrossRefGoogle ScholarPubMed
Dávalos, A, Fernández-Hernando, C, Cerrato, F, et al. (2006) Red grape juice polyphenols alter cholesterol homeostasis and increase LDL-receptor activity in human cells in vitro. J Nutr 136, 17661773.CrossRefGoogle ScholarPubMed
Millar, CL, Duclos, Q & Blesso, CN (2017) Effects of dietary flavonoids on reverse cholesterol transport, HDL metabolism, and HDL function. Adv Nutr 8, 226239.CrossRefGoogle ScholarPubMed
Serban, MC, Sahebkar, A, Zanchetti, A, et al. (2016) Effects of quercetin on blood pressure: a systematic review and meta-analysis of randomized controlled trials. J Am Heart Assoc 5, e002713.CrossRefGoogle ScholarPubMed
Taku, K, Lin, N, Cai, D, et al. (2010) Effects of soy isoflavone extract supplements on blood pressure in adult humans: systematic review and meta-analysis of randomized placebo-controlled trials. J Hypertens 28, 19711982.CrossRefGoogle ScholarPubMed
Shrime, MG, Bauer, SR, McDonald, AC, et al. (2011) Flavonoid-rich cocoa consumption affects multiple cardiovascular risk factors in a meta-analysis of short-term studies. J Nutr 141, 19821988.CrossRefGoogle Scholar
Ras, RT, Zock, PL & Draijer, R (2011) Tea consumption enhances endothelial-dependent vasodilation; a meta-analysis. PloS ONE 6, e16974.CrossRefGoogle ScholarPubMed
Juraschek, SP, Guallar, E, Appel, LJ, et al. (2012) Effects of vitamin C supplementation on blood pressure: a meta-analysis of randomized controlled trials. Am J Clin Nutr 95, 10791088.CrossRefGoogle ScholarPubMed
Medina-Remón, A, Estruch, R, Tresserra-Rimbau, A, et al. (2013) The effect of polyphenol consumption on blood pressure. Mini Rev Med Chem 13, 11371149.CrossRefGoogle ScholarPubMed
Hügel, HM, Jackson, N, May, B, et al. (2016) Polyphenol protection and treatment of hypertension. Phytomedicine 23, 220231.CrossRefGoogle ScholarPubMed
Larson, AJ, Symons, JD & Jalili, T (2012) Therapeutic potential of quercetin to decrease blood pressure: review of efficacy and mechanisms. Adv Nutr 3, 3946.CrossRefGoogle ScholarPubMed
Peters, JC (2003) Dietary fat and body weight control. Lipids 38, 123127.CrossRefGoogle ScholarPubMed
Tobias, DK, Chen, M, Manson, JE, et al. (2015) Effect of low-fat diet interventions versus other diet interventions on long-term weight change in adults: a systematic review and meta-analysis. Lancet Diabetes Endocrinol 3, 968979.CrossRefGoogle ScholarPubMed
van Dam, RM, Willett, WC, Rimm, EB, et al. (2002) Dietary fat and meat intake in relation to risk of type 2 diabetes in men. Diabetes Care 25, 417424.CrossRefGoogle ScholarPubMed
Nagao, M, Asai, A, Sugihara, H, et al. (2015) Fat intake and the development of type 2 diabetes. Endocr J 62, 561572.CrossRefGoogle ScholarPubMed
López-Miranda, J, Pérez-Martínez, P, Marin, C, et al. (2007) Dietary fat, genes and insulin sensitivity. J Mol Med (Berl) 85, 213226.CrossRefGoogle ScholarPubMed
Galgani, JE, Uauy, RD, Aguirre, CA, et al. (2008) Effect of the dietary fat quality on insulin sensitivity. Br J Nutr 100, 471479.CrossRefGoogle ScholarPubMed
Schwingshackl, L & Hoffmann, G (2014) Comparison of the long-term effects of high-fat v. low-fat diet consumption on cardiometabolic risk factors in subjects with abnormal glucose metabolism: a systematic review and meta-analysis. Br J Nutr 111, 20472058.CrossRefGoogle ScholarPubMed
Hall, WL (2009) Dietary saturated and unsaturated fats as determinants of blood pressure and vascular function. Nutr Res Rev 22, 1838.CrossRefGoogle ScholarPubMed
Krishnan, S & Cooper, JA (2014) Effect of dietary fatty acid composition on substrate utilization and body weight maintenance in humans. Eur J Nutr 53, 691710.CrossRefGoogle ScholarPubMed
Georgiadi, A & Kersten, S (2012) Mechanisms of gene regulation by fatty acids. Adv Nutr 3, 127134.CrossRefGoogle ScholarPubMed
Staiger, H, Staiger, K, Haas, C, et al. (2005) Fatty acid-induced differential regulation of the genes encoding peroxisome proliferator-activated receptor-γ coactivator-1α and -1β in human skeletal muscle cells that have been differentiated in vitro. Diabetologia 48, 21152118.CrossRefGoogle ScholarPubMed
Thanopoulou, AC, Karamanos, BG, Angelico, FV, et al. (2003) Dietary fat intake as risk factor for the development of diabetes: multinational, multicenter study of the Mediterranean Group for the Study of Diabetes (MGSD). Diabetes Care 26, 302307.CrossRefGoogle Scholar
Morio, B, Fardet, A, Legrand, P, et al. (2016) Involvement of dietary saturated fats, from all sources or of dairy origin only, in insulin resistance and type 2 diabetes. Nutr Rev 74, 3347.CrossRefGoogle ScholarPubMed
Riccardi, G, Giacco, R & Rivellese, AA (2004) Dietary fat, insulin sensitivity and the metabolic syndrome. Clin Nutr 23, 447456.CrossRefGoogle ScholarPubMed
Weijers, RN (2012) Lipid composition of cell membranes and its relevance in type 2 diabetes mellitus. Curr Diabetes Rev 8, 390400.CrossRefGoogle ScholarPubMed
Risérus, U, Willett, WC & Hu, FB (2009) Dietary fats and prevention of type 2 diabetes. Prog Lipid Res 48, 4451.CrossRefGoogle ScholarPubMed
Siri-Tarino, PW, Sun, Q, Hu, FB, et al. (2010) Meta-analysis of prospective cohort studies evaluating the association of saturated fat with cardiovascular disease. Am J Clin Nutr 91, 535546.CrossRefGoogle ScholarPubMed
Mente, A, de Koning, L, Shannon, HS, et al. (2009) A systematic review of the evidence supporting a causal link between dietary factors and coronary heart disease. Arch Intern Med 169, 659669.CrossRefGoogle ScholarPubMed
Siri-Tarino, PW, Sun, Q, Hu, FB, et al. (2010) Saturated fatty acids and risk of coronary heart disease: modulation by replacement nutrients. Curr Atheroscler Rep 12, 384390.CrossRefGoogle ScholarPubMed
Schwab, U, Lauritzen, L, Tholstrup, T, et al. (2014) Effect of the amount and type of dietary fat on cardiometabolic risk factors and risk of developing type 2 diabetes, cardiovascular diseases, and cancer: a systematic review. Food Nutr Res 10, 58.Google Scholar
Hooper, L, Abdelhamid, A, Moore, HJ, et al. (2012) Effect of reducing total fat intake on body weight: systematic review and meta-analysis of randomised controlled trials and cohort studies. BMJ 345, e7666.CrossRefGoogle ScholarPubMed
Hu, FB, Stampfer, MJ, Manson, JE, et al. (1997) Dietary fat intake and the risk of coronary heart disease in women. N Engl J Med 337, 14911499.CrossRefGoogle ScholarPubMed
Mozaffarian, D, Micha, R & Wallace, S (2010) Effects on coronary heart disease of increasing polyunsaturated fat in place of saturated fat: a systematic review and meta-analysis of randomized controlled trials. PLoS Med 7, e1000252.CrossRefGoogle ScholarPubMed
Hannon, BA, Thompson, SV, An, R, et al. (2017) Clinical outcomes of dietary replacement of saturated fatty acids with unsaturated fat sources in adults with overweight and obesity: a systematic review and meta-analysis of randomized control trials. Ann Nutr Metab 71, 107117.CrossRefGoogle ScholarPubMed
Beegom, R & Singh, RB (1997) Association of higher saturated fat intake with higher risk of hypertension in an urban population of Trivandrum in south India. Int J Cardiol 58, 6370.CrossRefGoogle Scholar
Das, UN (2004) Long-chain polyunsaturated fatty acids interact with nitric oxide, superoxide anion, and transforming growth factor-β to prevent human essential hypertension. Eur J Clin Nutr 58, 195203.CrossRefGoogle ScholarPubMed
Salehi-Abargouei, A, Maghsoudi, Z, Shirani, F, et al. (2013) Effects of Dietary Approaches to Stop Hypertension (DASH)-style diet on fatal or nonfatal cardiovascular diseases – incidence: a systematic review and meta-analysis on observational prospective studies. Nutrition 29, 611618.CrossRefGoogle ScholarPubMed
D’Agostino, RB, Vasan, RS, Pencina, MJ, et al. (2008) General cardiovascular risk profile for use in primary care: the Framingham Heart Study. Circulation 117, 743753.CrossRefGoogle ScholarPubMed
Lara, J, Hobbs, N, Moynihan, PJ, et al. (2014) Effectiveness of dietary interventions among adults of retirement age: a systematic review and meta-analysis of randomized controlled trials. BMC Med 12, 60.CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1. Overview of pathological events which successively occur and lead to components of the metabolic syndrome. SNS, sympathetic nervous system; CETP, cholesteryl ester transfer protein; CE, cholesteryl esters; NAFLD, non-alcoholic fatty liver disease. For a colour figure, see the online version of the paper.

Figure 1

Fig. 2. Major nutrients provided by Dietary Approaches to Stop Hypertension (DASH) components. For a colour figure, see the online version of the paper.

Figure 2

Fig. 3. Mechanisms by which potassium prevents hypertension. VSMC, vascular smooth muscle cells. For a colour figure, see the online version of the paper.

Figure 3

Fig. 4. The role of calcium in secretion of insulin by pancreatic β-cells. For a colour figure, see the online version of the paper.

Figure 4

Fig. 5. Mechanisms of polyphenols against hyperglycaemia and obesity. GLP-1, glucagon-like peptide 1. For a colour figure, see the online version of the paper.