| Literature DB >> 30037123 |
Lutgarda Bozzetto1, Giuseppina Costabile2, Giuseppe Della Pepa3, Paola Ciciola4, Claudia Vetrani5, Marilena Vitale6, Angela A Rivellese7, Giovanni Annuzzi8.
Abstract
Obesity is a pandemic carrying the heavy burden of multiple and serious co-morbidities including metabolic syndrome, type 2 diabetes and cardiovascular diseases. The pathophysiological processes leading to the accumulation of body fat slowly evolve to fat accumulation in other body compartments than subcutaneous tissue. This abnormal fat deposition determines insulin resistance which in turn causes blood glucose and lipid metabolism derangement, non-alcoholic fatty liver disease, hypertension, and metabolic syndrome. All these conditions contribute to increase the cardiovascular risk of obese people. Several randomized clinical trials demonstrated that moderate weight loss (5⁻10%) in obese patients improves obesity-related metabolic risk factors and coexisting disorders. Therefore, nutritional strategies able to facilitate weight management, and in the meantime positively influence obesity-associated cardiovascular risk factors, should be implemented. To this aim, a suitable option could be dietary fibres that may also act independently of weight loss. The present narrative review summarizes the current evidence about the effects of dietary fibres on weight management in obese people. Moreover, all of the different cardiovascular risk factors are individually considered and evidence on cardiovascular outcomes is summarized. We also describe the plausible mechanisms by which different dietary fibres could modulate cardio-metabolic risk factors. Overall, despite both epidemiological and intervention studies on weight loss that show statistically significant but negligible clinical effects, dietary fibres seem to have a beneficial impact on main pathophysiological pathways involved in cardiovascular risk (i.e., insulin resistance, renin-angiotensin, and sympathetic nervous systems). Although the evidence is not conclusive, this suggests that fibre would be a suitable option to counteract obesity-related cardio-metabolic diseases also independently of weight loss. However, evidence is not consistent for the different risk factors, with clear beneficial effects shown on blood glucose metabolism and Low Density Lipoprotein (LDL) cholesterol while there is fewer, and less consistent data shown on plasma triglyceride and blood pressure. Ascribing the beneficial effect of some foods (i.e., fruits and vegetables) solely to their fibre content requires more investigation on the pathophysiological role of other dietary components, such as polyphenols.Entities:
Keywords: cardiovascular risk; diabetes type 2; dietary fibre; dyslipidemia; hypertension; insulin resistance; metabolic syndrome; obesity
Mesh:
Substances:
Year: 2018 PMID: 30037123 PMCID: PMC6073249 DOI: 10.3390/nu10070943
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Figure 1Pathophysiological mechanisms by which excessive adipose tissue leads to metabolic dysfunction and common chronic diseases. RAS: renin-angiotensin system; SNS: sympathetic nervous system; FFA: free fatty acids; IL-6: interleukin-6; IL-1β: interleukin-1β; TNF-α: tumor necrosis factor-α.
Functional properties and main sources of dietary fibres, according to McRorie et al. [15]
| Fibres | Functional Properties | Main Sources | ||
|---|---|---|---|---|
| Viscosity | Solubility | Fermentation | ||
| Bran | Low | Low | Low | Wholegrain |
| Cellulose | Vegetables | |||
| Hemicellulose | Vegetables | |||
| Lignin | Seeds | |||
| Inulin | Low | High | High | Roots and tubers |
| Dextrin | Chemically altered wheat and corn starch | |||
| Oligosaccharides | Fruits, vegetables, legumes, grains | |||
| Resistant starch | Type I: Wholegrain; Type II: High-amylose maize starch, raw potato and banana; Type III: Cooked and cooled starchy foods; Type IV: Chemically modified starches; Type V: Amylose-lipid complex | |||
| Pectin | High | High | High | Fruits, vegetables, legumes |
| Oat and barley | ||||
| Glucomannan | Tuberous roots of the | |||
| Guar gum | Leguminous seed plants (guar, locust bean), seaweed extracts (carrageenan, alginates), microbial gums (xanthan, gellan) | |||
|
| High | High | Low | Husks of ripe seeds from |
| Methylcellulose | Food additive | |||
Published meta-analyses of RCTs evaluating the effects of different types of fibre on body weight regulation.
| Author, Year [Reference] | Study Design | Study | Intervention and Doses | Duration Weeks | Observed Effects |
|---|---|---|---|---|---|
| Pol, 2013 [ | Meta-analysis of 26 RCTs | 2060 M/F | Whole grain (mean dose: 84.1 g/day) | 2–16 | = BW |
| Kim, 2016 [ | Meta-analysis of 21 RCTs | 940 M/F | Dietary pulses (mean dose: 142 g/day) | 4–12 | ↓ BW: −0.34 kg |
| Mytton, 2014 [ | Meta-analysis of 8 RCTs | 1026 M/F | High fruit and vegetables | 4–52 | ↓ BW: −0.54 kg |
| Thompson, 2017 [ | Meta-analysis of 12 RCTs | 609 M/F | Soluble fibre supplementation (mean dose: 18.5 g/day) | 2–17 | ↓ BMI: −0.84 kg |
= No significant difference; ↓ significant decrease; BMI: body mass index; BW: body weight; F: female; M: male; n.a.: not available; RCT: randomized, controlled trial; WC: waist circumference.
Published RCTs evaluating the effects of fibre from whole grain or other sources on insulin resistance.
| Author, Year [Reference] | Study Design | Study | Intervention and Doses | Duration Weeks | Observed Effects |
|---|---|---|---|---|---|
|
| |||||
| Pereira, 2002 [ | RCT | 11 M/F | Whole-grain products | 6 | ↑ Insulin sensitivity |
| Juntunen, 2003 [ | RCT | 20 F | Rye whole-grain bread | 8 | = Insulin sensitivity |
| McIntosh, 2003 [ | RCT | 28 M | Rye whole-grain diet | 4 | = Insulin resistance (HOMA) |
| Andersson, 2007 [ | RCT | 30 M/F | Whole-grain products | 6 | = Insulin sensitivity (euglycemic hyperinsulinemic clamp tests) |
| Katcher, 2008 [ | RCT | 47 M/F | Whole-grain products | 12 | = Insulin sensitivity |
| Giacco, 2010 [ | RCT | 15 M/F | Whole-grain products | 3 | = Insulin resistance (HOMA) |
| Brownlee, 2010 [ | RCT | 216 M/F | Whole-grain products | 16 | = Insulin sensitivity (QUICKI) |
| Giacco, 2013 [ | RCT | 133 M/F | Whole-grain products | 12 | = Insulin sensitivity |
| Giacco, 2014 [ | RCT | 54 M/F | Whole-grain products | 12 | = Insulin resistance (HOMA) |
|
| |||||
| He, 2016 [ | Meta-analysis of 18 RCTs | 298 M/F | Oat-based products | 4-12 | = Insulin resistance (HOMA) |
| Hashizume, 2012 [ | RCT | 30 M/F | Resistant maltodextrin | 12 | ↓ Insulin resistance (HOMA): −0.5% |
| Li, 2010 [ | RCT | 120M | NUTRIOSE * | 12 | ↓ Insulin resistance (HOMA): −12% |
| Johnston, 2010 [ | RCT | 20 M/F | Resistant starch | 12 | ↑ Insulin sensitivity (euglycemic hyperinsulinemic clamp tests tests): |
| Robertson, 2012 [ | RCT | 15 M/F | Resistant starch | 8 | ↓ Insulin resistance (HOMA): −0.4% |
= No significant difference; ↓ significant decrease; ↑ significant increase; BMI: body mass index; BW: body weight; HOMA: Homeostatic model assessment; ISI: insulin sensitivity index; F: female; FSIGT: Frequently sampled intravenous glucose tolerance test; M: male; n.a.: not available; NSP: nonstarchy polysaccharides; OGTT: oral glucose tolerance test; QUICKI: Quantitative insulin sensitivity check index. * NUTRIOSE is a soluble fibre.
Published meta-analyses of RCTs evaluating the effects of different types of fibre on blood glucose control.
| Author, Year [Reference] | Study Design | Study | Intervention and Doses | Duration Weeks | Observed Effects |
|---|---|---|---|---|---|
| Post, 2002 [ | Meta-analysis of 15 RCTs | 400 M/F | High fibre diet | 3–12 | ↓ Fasting glucose:−15 mg/dL |
| Silva, 2013 [ | Meta-analysis of 13 RCTs | 605 M/F | High fibre foods | 8–24 | ↓ Fasting glucose:−9.97 mg/dL |
| Gibb, 2015 [ | Meta-analysis of 35 RCTs | 1075 M/F | 2–26 | ↓ Fasting glucose: −37 mg/dL | |
| Schwingshackl, 2018 [ | Meta-analysis of 56 RCTs | 4937 M/F | Mediterranean diet | 3–48 | ↓ Fasting glucose: −11.0 mg/dL |
| Marventano, 2017 [ | Meta-analysis of 14 RCTs | 377 M/F | Whole-grain products | 2–16 | = Fasting glucose |
| Thompson, 2017 [ | Meta-analysis of 12 RCTs | 200 M/F | Soluble fibre | 2–17 | ↓ Fasting glucose: −3.0 mg/dL |
= No significant difference; ↓ significant decrease; ↑ significant increase; BMI: body mass index; BW: body weight; F: female; M: male.
Published meta-analyses of RCTs evaluating the effects of fibre from whole grain or other sources on serum lipids and two clinical trials also evaluating the postprandial lipid response.
| Author, Year [Reference] | Study Design | Study | Intervention and Doses | Duration Weeks | Observed Effects |
|---|---|---|---|---|---|
|
| |||||
| Ye, 2012 [ | Meta-analysis of 21 RCTs | 1281 M/F | Whole-grain diet | 4–16 | ↓ TC: −32 mg/dL |
| Hollander, 2015 [ | Meta-analysis of 24 RCTs | 2275 M/F | Whole-grain products | 2–16 | ↓ TC: −5.0 mg/dL |
| Kelly, 2017 [ | Meta-analysis of 9 RCTs | 1414 M/F | Whole-grain products | 12–16 | No effect on TC and LDL-C |
| Giacco, 2014 [ | RCT | 54 M/F | Whole-grain products | 12 | Postprandial TG (IAUC) −43% |
|
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| Hartley, 2016 [ | Meta-analysis of 23 RCTs | 1513 M/F | Fibre supplementation | 12 | ↓ TC: −8.0 mg/dL |
| Whitehead, 2014 [ | Meta-analysis of 28 RCTs | 1914 M/F | Oat β-glucan supplementation | 2–12 | ↓ TC: −12 mg/dL |
| Zhu, 2015 [ | Meta-analysis of 17 RCTs | 916 M/F | Oat/Barley β-glucan-rich diet | 7 | ↓ TC: −10 mg/dL |
| Ho, 2016 [ | Meta-analysis of 14 RCTs | 723 M/F | Barley β-glucan-rich diet | 4 | ↓ LDL-C: −10 mg/dL |
| Ho, 2016 [ | Meta-analysis of 56 RCTs | 3745 | Oat β-glucan-rich diet | 6 | ↓ LDL-C: −7.0 mg/dL |
| Bazzano, 2011 [ | Meta-analysis of 10 RCTs | 268 M/F | Non-Soy Legume diet | 3–8 | ↓ TC: −11.8 mg/dL |
| Ha, 2014 [ | Meta-analysis of 26 RCTs | 1037 M/F | Legume-rich diet | 3–48 | ↓ LDL-C: −7.0 mg/dL |
| Liu, 2017 [ | Meta-analysis of 20 RCTs | 607 M/F | Inulin-type fructans supplementation | 2.5–24 | ↓ LDL-C: −6.0 mg/dL |
| De Natale, 2009 [ | RCT | 18 M/F | High-Carbohydrate/High-Fibre diet | 4 | Postprandial TG (IAUC) −31% |
= No significant difference; ↓ significant decrease; BMI: body mass index; BW: body weight; F: female; HDL-C: High-density lipoprotein cholesterol; IAUC: Incremental area under the curve; LDL-C: Low-density lipoprotein cholesterol; M: male; MUFA: monounsaturated fatty acids; n.a.: not available; TC: total cholesterol; TG: Triglycerides.
Published meta-analyses of RCTs evaluating the effects of different types of fibre on blood pressure.
| Author, Year | Study Design | Study | Intervention and Doses | Duration Weeks | Observed Effects |
|---|---|---|---|---|---|
| Streppel, 2005 [ | Meta-analysis of 24 RCTs | 1404 M/F | Soluble/insoluble fibre supplementation | 2–24 | ↓ SBP: −1.13 mm Hg |
| Hartley, 2016 [ | Meta-analysis of 23 RCTs | 1513 M/F | Soluble/insoluble fibre supplementation | 12 | ↓ DBP: −1.77 mmHg |
| Whelton, 2005 [ | Meta-analysis of 25 RCTs | 1477 M/F 16–85 years | Fruit/vegetables/cereals/pectins/ | 2–26 | ↓ DBP: −1.65 mm Hg |
| Evans, 2015 [ | Meta-analysis of 28 RCTs | 1333 M/F 29–60 years | Whole oats, oat | 6–14 | ↓ SBP: −2.7 mm Hg |
| Khan, 2018 [ | Meta-analysis of 22 RCTs | 1430 M/F | Viscous fibre supplementation | 4–24 | ↓ SBP: −1.59 mm Hg |
* Doses are reported as mean difference in intake between intervention vs. control groups; = no significant difference; ↓ significant decrease; BMI: body mass index; BW: body weight; DBP: diastolic blood pressure; F: female M: male; n.a.: not available; SBP: systolic blood pressure.
Figure 2Plausible mechanisms of action whereby fibre may influence body weight and its related common chronic diseases.CCK: cholecystokinin; GIP: gastric inhibitory peptide; GLP-1: glucagon like peptide 1; SCFA: short chain fatty acids.