| Literature DB >> 35492316 |
Marco Giussani1, Giulia Lieti2, Antonina Orlando1, Gianfranco Parati1,2, Simonetta Genovesi1,2.
Abstract
Arterial hypertension, dyslipidemia, alterations in glucose metabolism and fatty liver, either alone or in association, are frequently observed in obese children and may seriously jeopardize their health. For obesity to develop, an excessive intake of energy-bearing macronutrients is required; however, ample evidence suggests that fructose may promote the development of obesity and/or metabolic alterations, independently of its energy intake. Fructose consumption is particularly high among children, because they do not have the perception, and more importantly, neither do their parents, that high fructose intake is potentially dangerous. In fact, while this sugar is erroneously viewed favorably as a natural nutrient, its excessive intake can actually cause adverse cardio-metabolic alterations. Fructose induces the release of pro-inflammatory cytokines, and reduces the production of anti-atherosclerotic cytokines, such as adiponectin. Furthermore, by interacting with hunger and satiety control systems, particularly by inducing leptin resistance, it leads to increased caloric intake. Fructose, directly or through its metabolites, promotes the development of obesity, arterial hypertension, dyslipidemia, glucose intolerance and fatty liver. This review aims to highlight the mechanisms by which the early and excessive consumption of fructose may contribute to the development of a variety of cardiometabolic risk factors in children, thus representing a potential danger to their health. It will also describe the main clinical trials performed in children and adolescents that have evaluated the clinical effects of excessive intake of fructose-containing drinks and food, with particular attention to the effects on blood pressure. Finally, we will discuss the effectiveness of measures that can be taken to reduce the intake of this sugar.Entities:
Keywords: cardio-metabolic risk factors; children; fructose; hypertension; obesity; sugar-sweetened beverages
Year: 2022 PMID: 35492316 PMCID: PMC9039289 DOI: 10.3389/fmed.2022.792949
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Dietary sources and endogenous production of fructose.
|
|
|---|
| Fruit (depending on ripening degree): Oranges (3.2%), bananas (5.2%), strawberries (2.3%), tangerines (2.8%), apples (8%), pears (6%), lemon (0.9%) Vegetables: Carrots (2.3%), lettuce (0.3%), eggplant (1.4%), bell peppers (1.5%), peas (0.5%), tomatoes (1.7%), zucchini (1%), |
| Honey (40%) |
| Sucrose (50%) |
| High Fructose Corn Syrup (55%, industrial production of sugar-sweetened beverages, cakes, baked goods, pastries, catch-up sauces) |
| Concentrated juice, e.g., some homogenized fruits (over 60%) |
| Fructose as sweetener (100%) |
| Fruit juice, palm sugar, maple syrup (variable amounts) |
|
|
| Hyperglycaemia (decompensated diabetes mellitus) |
| Hyperuricemia |
| Heat stress |
| Oxidative stress |
| Hyperosmolarity (dehydration or dietary high salt content) |
| Hypoxia |
| Ischemia |
Figure 1Fructose metabolism. AMP, adenosine monophosphate; ADP, adenosine diphosphate; ATP, adenosine trisphosphate; CO2, Carbon Dioxide.
Figure 2Effects of endogenous and dietary fructose. AMPK, Adenosine monophosphate kinase; NO, nitric oxide. Modified from Johnson et al. (13).
Effects of a high fructose dietary intake on major organs.
|
|
|
|
|
|---|---|---|---|
| Adipose tissue | FFA UA | ↑ROS ↑Inflammatory cytokines | Inflammation Endothelial dysfunction |
| Brain | FFA UA MG | ↑ROS ↑Inflammation cytokine | Increase of appetite Psychological stress |
| Heart/vessels | FFA UA | ↑ROS | Plaque formation Hypertrophy Endothelial dysfunction Vascular stiffness |
| Intestine | UA | ↑Endotoxins ↑Bacterial composition disturbance | Increased intestinal permeability |
| Kidney | UA MG | ↑ROS ↑Inflammatory cytokines | CKD Endothelial dysfunction |
| Liver | Lactate FFA Ceramide UA MG | ↑Gluconeogenesis ↑Glucose export | Steatosis NAFLD Fibrogenesis Endothelial dysfunction |
| Pancreatic islet | Glucose FFA UA | ↑Inflammatory cytokines↑Apoptosis ↑Endoplasmic reticulum stress | Glucose intolerance Increased β-cell mass Irregular insulin secretion |
| Skeletal muscle | Lactate FFA Ceramide UA | ↑ROS ↑Inflammatory cytokines | Inflammation response Endothelial dysfunction |
CKD, Chronic Kidney Disease; FFA, free fatty acid; MG, methylglyoxal; NAFLD, non-alcoholic fatty liver disease; ROS, reactive oxygen species; UA, uric acid; VLDL, Very Low-Density Lipoprotein.
Modified from Zhang et al. (.
Main available studies assessing the relationship between SSB intake and BP in pediatric age.
|
|
|
|
|
|
|
|---|---|---|---|---|---|
| Nguyen et al. ( | 4,867 | 12–18 | Cross-sectional study | SBP adjusted for age, race/ethnicity, sex, total calories, BMI z-score, sodium intake, smoking, and alcohol | Higher SSB consumption associated with higher serum uric acid (increased by 0.18 mg/dL) and SBP (increased by 0.17 z-score). |
| Bremer et al. ( | 6,967 | 12–19 | Cross-sectional study | SBP | Higher SSB consumption associated with higher HOMA-Index, waist circumference, BMI and SBP (High intake vs. low intake: 111.1 vs. 107.9 mmHg, |
| Ambrosini et al. ( | 1,433 | 14–17 | Cross-sectional study | SBP and DBP adjusted for adjusted for age, pubertal stage, physical activity, dietary misreporting, maternal education, and family income. | Higher SSB consumption associated with higher SBP (highest tertile vs. lowest tertile +1.5 mmHg, |
| Lin et al. ( | 2,727 | 12–16 | Cross-sectional study | SBP adjusted for study area, age, gender, physical activity, total calories, intake of meat, seafood, fruit, fried, food with jelly/honey, alcohol drinking, smoking. | Higher SSB consumption associated with higher SBP (highest SBB intake vs. no intake +3.47 mmHg, |
| Mirmiran et al. ( | 4,24 | 6–18 | Prospective study | Incident hypertension. | Higher SSB consumption associated with higher hypertension incidence (highest quartile vs. lowest quartile: OR 2.79, 95%CI 1.02–7.64). |
| Asghari et al. ( | 4,24 | 6–18 | Prospective study | Incident hypertension adjusted for age, sex, total energy intake, physical activity, dietary fiber, family history of diabetes, and body mass index. | Higher energy-dense nutrient-poor solid snack intake associated with higher incidence of hypertension (OR: 2.99, 95%CI: 1.00–8.93). |
| Souza et al. ( | 488 | 9–16 | Cross-sectional study | SBP and DBP adjusted for sex, age, BMI, physical activity, addition of salt to food, and education of the head of the family. | Higher soft drink consumption associated with higher SBP/DBP (no soft drink vs. SSB vs. diet soft drink: mean SBP 99.7 vs. 101.8 vs. 105.1 mmHg, |
| Gui et al. ( | 53,151 | 6–17 | National cross-sectional study | Prevalent hypertension adjusted for age, sex, residence, socioeconomic status, diet, screen time, and physical activity. | Neither general obesity nor hypertension associated with SSB consumption. |
| de Boer et al. ( | 2,519 + 769 | 5–6/11–12 | Cross-sectional study | SBP and DBP (adjusted for ethnicity, BMI, physical activity, screen time, gestational age, birth weight, maternal and paternal BMI, pubertal stage | Higher SSB consumption associated with higher SBP at 11–12 age (highest tertile vs. lowest tertile: SBP +2.3 mmHg, |
| Qin et al. ( | 10,091 | 9–12 | Cross-sectional study | Prevalent hypertension adjusted for school, parental education, physical activity, diet intake. | Higher SSB consumption associated with higher hypertension prevalence (overall: OR1.40, 95%CI 1.15–1.70); normal weight: OR 1.78, 95% CI 1.20–2.65; overweight or obese: OR 1.28, 95% CI 1.01–1.61) |
| He et al. ( | 2,032 | 7–18 | Cross-sectional study | Prevalent hypertension. | SSB consumption associated with the risk of obesity (OR 2.08, 95% CI 1.21–3.54) and hypertriglyceridemia (OR 1.70, 95%CI 1.02–3.06), but not with a significant increase in the prevalence of hypertension. |
| Zhu et al. ( | 3,958 | 6–17 | Cross-sectional study | SBP (adjusted for age, sex, daily energy intake, pubertal stage, sedentary time, maternal education, and household income) | Higher SSB consumption inversely associated with SBP values ( |
| Perng et al. ( | 242 | 8–14 | Cross-sectional study | SBP and DBP (adjusted for age and pubertal status) | Higher SSB intake associated with higher BP values (highest quartile vs. lowest quartile: SBP +4.65 mmHg and DBP +3.08 mmHg in girls, |
| Chiu et al. ( | 30 | 13–18 | Two-period randomized study (SBBs vs. low fat milk for 3 weeks with crossover to the alternate beverage after a ≥ 2 weeks washout) | SBP | SBP z-score (0.0 vs. 0.2, |
BMI, body mass index; DBP, diastolic blood pressure; SBP, systolic blood pressure; SSB, sugar-sweetened beverage.