| Literature DB >> 28954437 |
Giuseppe Della Pepa1, Claudia Vetrani2, Gianluca Lombardi3, Lutgarda Bozzetto4, Giovanni Annuzzi5, Angela Albarosa Rivellese6.
Abstract
Non-alcoholic fatty liver disease (NAFLD) incorporates an extensive spectrum of histologic liver abnormalities, varying from simple triglyceride accumulation in hepatocytes non-alcoholic fatty liver (NAFL) to non-alcoholic steatohepatitis (NASH), and it is the most frequent chronic liver disease in the industrialized world. Beyond liver related complications such as cirrhosis and hepatocellular carcinoma, NAFLD is also an emerging risk factor for type 2 diabetes and cardiovascular disease. Currently, lifestyle intervention including strategies to reduce body weight and to increase regular physical activity represents the mainstay of NAFLD management. Total caloric intake plays a very important role in both the development and the treatment of NAFLD; however, apart from the caloric restriction alone, modifying the quality of the diet and modulating either the macro- or micronutrient composition can also markedly affect the clinical evolution of NAFLD, offering a more realistic and feasible treatment alternative. The aim of the present review is to summarize currently available evidence from randomized controlled trials on the effects of different nutrients including carbohydrates, lipids, protein and other dietary components, in isocaloric conditions, on NAFLD in people at high cardiometabolic risk. We also describe the plausible mechanisms by which different dietary components could modulate liver fat content.Entities:
Keywords: NAFLD; NASH; carbohydrates; isocaloric dietary changes; monounsaturated fatty acids; polyphenols; polyunsaturated fatty acids; vitamins
Mesh:
Year: 2017 PMID: 28954437 PMCID: PMC5691682 DOI: 10.3390/nu9101065
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Figure 1Pathogenesis of NAFLD. Based on the “multiple hit” model, dietary habits, insulin resistance, visceral adiposity, inflammatory state, oxidative stress, alteration in microbiome, and genetic predisposition, are all recognized risk factors for NAFLD. DNL: de novo lipogenesis; FFA: free fatty acids; IL-6: interleukin-6; IL-1β: interleukin-1β; LPS: lipopolysaccharide; NAFLD: non-alcoholic fatty liver disease; NASH: non-alcoholic steatohepatitis; TNF-α: tumor necrosis factor-α.
Clinical trials on the effects of MUFA and n-6 PUFA on NAFLD in individuals at high cardiometabolic risk.
| Author (Reference) | Study Design | Study Population Participants Age BMI | Intervention and Doses | Duration Weeks | Observed Effects with MUFA or | |||
|---|---|---|---|---|---|---|---|---|
| Liver Imaging | Liver Biomarkers | Liver Scores | Liver Biopsy | |||||
| Bozzetto et al., 2012 [ | Randomized, controlled, parallel group | 36 M/F, T2DM | MUFA diet (MUFA 28% TE) vs. high-CHO/fiber/low GI diet ( MUFA 16% TE) | 8 | ↓ LIVER FAT (1H-MRS) | AST = | n.a. | n.a. |
| 58.7 years | ALT = | |||||||
| 29.7 kg/m2 | ||||||||
| Ryan et al., 2013 [ | Randomized, controlled, crossover | 12 M/F, T2DM | Mediterranean diet (MUFA 23% TE) vs. low fat-high CHO (MUFA 8% TE ) | 6 | ↓ LIVER FAT (US) | AST = | n.a. | n.a. |
| 55.0 years | ALT = | |||||||
| 32.0 kg/m2 | ||||||||
| Nigam et al., 2014 [ | Randomized, controlled, parallel group | 93 M | olive oil (MUFA 70%) vs. canola oil (MUFA 61%) vs. soybean or safflower oil (MUFA 15–24% TE) | 24 | ↓ LIVER FAT (US) | AST = | n.a. | n.a. |
| 37.0 years | ALT = | |||||||
| 27.4 kg/m2 | ||||||||
| Bjermo et al., 2012 [ | Randomized, controlled, parallel group | 61 M/F | PUFA diet (linoleic acid 15% TE) vs. SFA diet (butter 15% TE) | 10 | ↓ LIVER FAT (1H-MRS) | AST n.a. | n.a. | n.a. |
| 56.5 years | ALT = | |||||||
| 30.2 kg/m2 | ||||||||
TE: total energy; = no changes; ↓ significant decrease. BMI: body mass index; MUFA: monounsaturated fatty acids; n-6 PUFA: n-6 polyunsaturated fatty acids; vs.: versus; T2DM: type 2 diabetes mellitus; M: male; F: female; CHO: carbohydrates; GI: glycemic index; SFA: saturated fatty acids; 1H-MRS: proton magnetic resonance spectroscopy; ALT: alanine aminotransferase; AST: aspartate aminotransferase; n.a.: not assessed; US: ultrasonography.
Figure 2Possible sites of action of dietary nutrients in the nutritional treatment and prevention of NAFLD. Nutrients and dietary composition can modulate many key aspects in the pathophysiology of NAFLD: simple sugars promote DNL, produce inflammation and activate cellular stress pathways. Contrarily, LGI meals can improve insulin resistance and can positively modulate the microbiome. SFA could induce lipogenesis, oxidative stress, and apoptosis of hepatocytes; conversely, MUFA and PUFA can improve FFA β-oxidation and can reduce DNL, improve insulin sensitivity and reduce inflammation. Polyphenols could inhibit DNL and increase FFA β-oxidation. Furthermore, polyphenols can improve insulin sensitivity, reduce the transcription of inflammatory cytokines, and can mitigate the oxidative stress involved in NAFLD progression. Vitamin C and vitamin E could avoid the progression of NAFLD and improve NASH acting as powerful antioxidants; furthermore, vitamin E could reduce plasma levels of cytokines involved in inflammation and liver fibrosis. Vitamin D can reduce the transcription of inflammatory cytokines and improve FFA β-oxidation. Furthermore, it has been observed that vitamin D increases adiponectin secretion, decreases lipolysis in adipose tissue, and improves insulin resistance. DNL: de novo lipogenesis; LGI: low glycemic index; MUFA: monounsaturated fatty acids; NAFLD: non-alcoholic fatty liver disease; NASH: non-alcoholic steatohepatitis; PUFA: polyunsaturated fatty acids; SFA: saturated fatty acids.
Clinical trials on the effects of n-3 PUFA on NAFLD in individuals at high cardiometabolic risk.
| Author (Reference) | Study Design | Study Population Participants Age BMI | Intervention and Doses | Duration Weeks | Observed Effects with | |||
|---|---|---|---|---|---|---|---|---|
| Liver Imaging | Liver Biomarkers | Liver Scores | Liver Biopsy | |||||
| Spadaro et al., 2008 [ | Parallel group randomized, controlled | 36 M/F | 2 g/day vs. placebo | 24 | ↓ LIVER FAT (US) | AST = | n.a. | n.a. |
| 50.1 years | ALT ↓ | |||||||
| 30.5 kg/m2 | ||||||||
| Scorletti et al., 2014 [ | Double-blind, placebo-controlled | 103 M/F | 4 g/day (EPA 1.8 g, DHA 1.5 g) vs. placebo | 72 | ↓ LIVER FAT (MRI) | AST = | n.a. | n.a. |
| 51.5 years | ALT = | |||||||
| 33.0 kg/m2 | ||||||||
| Zhu et al., 2008 [ | Double-blind, placebo-controlled | 134 M/F | 6 g/day vs. placebo | 24 | ↓ LIVER FAT (US) | AST = | n.a. | n.a. |
| 44.5 years | ALT ↓ | |||||||
| 26.2 kg/m2 | ||||||||
| Vega et al., 2008 [ | Crossover placebo-controlled | 16 M/F | 9 g/day (EPA 51.4%, DHA 23.9%) vs. placebo | 8 | = LIVER FAT (1H-MRS) | AST n.a. | n.a. | n.a. |
| 50.0 years | ALT n.a. | |||||||
| 36.2 kg/m2 | ||||||||
| Argo et al., 2015 [ | Double-blind, placebo-controlled | 34 M/F | 3 g/day (EPA 35%, DHA 25%) vs. placebo | 48 | = LIVER FAT (MRI) | AST = | n.a. | = NASH score |
| 46.8 years | ALT = | |||||||
| 32.5 kg/m2 | ||||||||
| Sanyal et al., 2014 [ | Double-blind, placebo-controlled | 243 M/F | EPA 1.8 g/day vs. EPA 2.7 g/day vs. placebo | 48 | n.a. | AST = | n.a. | = NASH score |
| 48.7 years | ALT = | |||||||
| 34.8 kg/m2 | ||||||||
| Cussons et al., 2009 [ | Crossover placebo-controlled | 25 F | 4 g/day (EPA 27%, DHA 56%) vs. placebo (oleic acid 67%) | 8 | = LIVER FAT (1H-MRS) | AST n.a. | n.a. | n.a. |
| 54.5 years | ALT = | |||||||
| 34.8 kg/m2 | ||||||||
= no changes; ↓ significant decrease. BMI: body mass index; M: male; F: female; n-3 PUFA: n-3 polyunsaturated fatty acids; US: ultrasonography; n.a.: not assessed; MRI: magnetic resonance imaging; ALT: alanine aminotransferase; AST: aspartate aminotransferase; DHA: docosahexaenoic acid; EPA: eicosapentaenoic acid; 1H-MRS: proton magnetic resonance spectroscopy; NASH: non-alcoholic steatohepatitis.
Clinical trials on the effects of different types of carbohydrates (low glycemic index diet, oligofructose, and simple sugars) on NAFLD in individuals at high cardiometabolic risk.
| Author (Reference) | Study Design | Study Population Participants Age BMI | Intervention and Doses | Duration Weeks | Observed Effects with Carbohydrates, Oligofructose and Simple Sugars | |||
|---|---|---|---|---|---|---|---|---|
| Liver Imaging | Liver Biomarkers | Liver Scores | Liver Biopsy | |||||
| Fraser et al., 2008 [ | Open label, quasi-randomized, controlled | 259 M/F | ADA diet (CHO: 50–55%, fat: 30%, protein: 20%) or LGI diet (CHO: 50–55%, fat: 30%, protein: 15–20%) or MM diet (CHO: 35%, fat: 45%, protein: 15–20%) | 52 | n.a. | ALT ↓ | n.a. | n.a. |
| T2DM | ||||||||
| 56 years | ||||||||
| 31.5 kg/m2 | ||||||||
| Utzschneider et al., 2012 [ | Randomized parallel, double-bind | 35 M/F | LSAT diet (23% fat, 7% saturated fat, GI < 55) vs. HSAT diet (43% fat, 24% saturated fat, GI > 70) | 4 | ↓ LIVER FAT (1H-MRS) | AST = | n.a. | n.a. |
| 68.9 years | ALT = | |||||||
| 27.5 kg/m2 | ||||||||
| Ramon-Krauel et al., 2013 [ | Randomized parallel | 16 M/F | LGI diet (CHO: 40%, fat: 35–40%, protein: 15–20%) vs. LF diet (CHO: 55–60%, fat: 30%, protein: 15–20%) | 24 | = LIVER FAT (1H-MRS) | AST = | n.a. | n.a. |
| 12.8 years | ALT = | |||||||
| 32.6 kg/m2 | ||||||||
| Misciagna et al., 2016 [ | Randomized parallel-group, controlled | 98 M/F | LGI diet (CHO: 50%, fat: 30%, protein: 15–20%) vs. control (diet based on INRAN guidelines) | 24 | ↓ LIVER FAT (US) | AST = | n.a. | n.a. |
| 47.5 years | ALT = | |||||||
| 31.5 kg/m2 | ||||||||
| Daubiol et al., 2005 [ | Randomized double-blind, crossover controlled | 7 M | Oligofructose (16 g/day) vs. maltodextrine | 8 | = LIVER FAT (US) | AST ↓ | n.a. | n.a. |
| NASH | ALT = | |||||||
| 54.5 years | ||||||||
| 29.1 kg/m2 | ||||||||
| Johnston et al., 2011 [ | Randomized double-blind | 32 M | Fructose (25% TE) vs. Glucose (25% TE) | 2 | = LIVER FAT (1H-MRS) | AST = | n.a. | n.a. |
| 33.9 years | ALT = | |||||||
| 29.4 kg/m2 | ||||||||
| Bravo et al., 2013 [ | Randomized parallel-group | 64 M/F | HFCS (8%, 18% or 30% of the calories required for weight maintenance) vs. Sucrose (8%, 18% or 30% of the calories required for weight maintenance) | 10 | = LIVER FAT (CT) | n.a. | n.a. | n.a. |
| 42.1 years | ||||||||
| 27.2 kg/m2 | ||||||||
| Maersk et al., 2012 [ | Randomized parallel-group | 47 M/F | Regular cola (1 L/day) or Milk (1 L/day) or Diet cola (1 L/day) or Water (1 L/day) | 24 | ↑ LIVER FAT (1H-MRS) | n.a. | n.a. | n.a. |
| 38.7 years | ||||||||
| 32.0 kg/m2 | ||||||||
TE: total energy; = no changes; ↓ significant decrease; ↑ significant increase. BMI: body mass index; M: male; F: female; T2DM: type 2 diabetes mellitus; ALT: alanine aminotransferase; AST: aspartate aminotransferase; n.a.: not assessed; ADA: American Diabetes Association; CHO: carbohydrates; LGI: low glycemic index; MM: Mediterranean modified; US: ultrasonography; 1H-MRS: proton magnetic resonance spectroscopy; CT: computed tomography; LGI: low glycemic index; INRAN: Italian National Research Institute for Foods and Nutrition; LSAT: low-fat/low-saturated fat/low-glycemic index diet; HSAT: high-fat/high-saturated fat/high-glycemic index diet; GI: glycemic index; LF: low fat; HFCS: high-fructose corn syrup.
Clinical trials on the effects of polyphenols supplementation on NAFLD in individuals at high cardiometabolic risk.
| Author [Reference] | Study Design | Study Population Participants Age BMI | Intervention and Doses | Duration Weeks | Observed Effects with Polyphenols | |||
|---|---|---|---|---|---|---|---|---|
| Liver Imaging | Liver Biomarkers | Liver Scores | Liver Biopsy | |||||
| Suda et al., 2008 [ | Double-blind, randomized, placebo-controlled | 38 M | Anthocianins (400 mg/day) vs. placebo | 8 | n.a. | AST n.a. | n.a. | n.a. |
| 43.0 years | ALT ↓ | |||||||
| 25.4 kg/m2 | ||||||||
| Sakata et al., 2013 [ | Double-blind, randomized, placebo-controlled | 17 M/F | Cathechin (1.080 mg/day) vs. placebo | 12 | ↓ LIVER FAT (CT) | AST n.a. | n.a. | n.a. |
| 50.6 years | ALT ↓ | |||||||
| 29.0 kg/m2 | ||||||||
| Chang et al., 2013 [ | Double-blind, randomized, placebo-controlled | 36 M/F | Flavonoids, anthocyanins, phenolic acid (150 mg/day) vs. placebo | 12 | ↓ LIVER FAT (US) | AST = | ↓ FS | n.a. |
| 37.9 years | ||||||||
| 31.2 kg/m2 | ALT = | |||||||
| Guo et al., 2014 [ | Double-blind, randomized, crossover, placebo-controlled | 44 M/F | Phenolic acids, anthocyanins (1350 mg/day) vs. placebo | 4 | n.a. | AST = | n.a. | n.a. |
| 21.2 years | ||||||||
| 25.4 kg/m2 | ALT = | |||||||
| TPS ↓ | ||||||||
| CK-18 ↓ | ||||||||
| Poulsen et al., 2013 [ | Double-blind, randomized, placebo-controlled | 24 M | Resveratrol (500 mg/day) vs. placebo | 4 | = LIVER FAT (1H-MRS) | AST n.a. | n.a. | n.a. |
| 38.3 years | ALT = | |||||||
| 34.2 kg/m2 | ||||||||
| Faghihzadeh et al., 2014 [ | Double-blind, randomized, placebo-controlled | 50 M/F | Resveratrol (500 mg/day) vs. placebo | 12 | ↓ LIVER FAT (US) = LIVER FIBROSIS (TEL) | AST = ALT ↓ | n.a. | n.a. |
| 45.1 years | CK-18 ↓ | |||||||
| 28.5 kg/m2 | ||||||||
| Chychay et al., 2014 [ | Double-blind, randomized, placebo-controlled | 20 M | Resveratrol (3000 mg/day) vs. placebo | 8 | = LIVER FAT (1H-MRS) | AST * ↑ | n.a. | n.a. |
| 48.1 years | ALT * ↑ | |||||||
| 31.5 kg/m2 | CK-18 = | |||||||
| Chen et al., 2014 [ | Double-blind, randomized, placebo-controlled | 60 M/F | Resveratrol (600 mg/day) vs. placebo | 12 | = LIVER FAT (US) | AST ↓ | n.a. | n.a. |
| 44.3 years | ||||||||
| 25.7 kg/m2 | ALT ↓ | |||||||
| CK-18 ↓ | ||||||||
| FGF-21↓ | ||||||||
| Heebøll et al., 2016 [ | Double-blind, randomized, placebo-controlled | 28 M | Resveratrol (1500 mg/day) vs. placebo | 24 | = LIVER FAT (1H-MRS) | AST = | n.a. | = NASH |
| (46% NASH) | ||||||||
| 43.3 years | ALT = | |||||||
| 31.9 kg/m2 | ||||||||
* at Week 6; = no changes; ↓ significant decrease; ↑ significant increase. BMI: body mass index; M: male; F: female; ALT: alanine aminotransferase; AST: aspartate aminotransferase; n.a.: not assessed; US: ultrasonography; CT: computed tomography; 1H-MRS: proton magnetic resonance spectroscopy; TEL: transient elastography; FS: fatty liver score; TPS: tissue polypeptide-specific antigen; CK-18: Cytokeratin-18; FGF-21: fibroblast growth factor 21; NASH: non-alcoholic steatohepatitis.
Clinical trials on the supplementation of vitamins C + E on NAFLD in individuals at high cardiometabolic risk.
| Author (Reference) | Study Design | Study Population Participants Age BMI | Intervention and Doses | Duration Weeks | Observed Effects with Vitamin C Plus Vitamin E | |||
|---|---|---|---|---|---|---|---|---|
| Liver Imaging | Liver Biomarkers | Liver Scores | Liver Biopsy | |||||
| Harrison et al., 2003 [ | Double-blind, randomized, placebo-controlled | 45 M/F, NASH | Vitamin C (1000 mg/day) + Vitamin E (1000 IU/day) vs. placebo | 24 | n.a. | AST = | n.a. | =NASH ↓ FIBROSIS |
| 51.3 years | ALT = | |||||||
| 32.7 kg/m2 | ||||||||
| Ersöz et al., 2005 [ | Open-label, randomized | 57 M/F | Vitamin C (500 mg/day) + Vitamin E (600 IU/day) vs. UDCA (10 mg/kg/day) | 24 | = LIVER FAT (US) | AST = | n.a. | n.a. |
| (15% NASH) | ||||||||
| 47.1 years | ALT = | |||||||
| 28.4 kg/m2 | ||||||||
| Nobili et al., 2006 [ | Double-blind, randomized, placebo-controlled | 90 M/F | Vitamin C (500 mg/day) + Vitamin E (600 IU/day) vs. placebo | 52 | = LIVER FAT (US) | AST = | n.a. | n.a. |
| (26% NASH) | ||||||||
| 12.1 years | ALT = | |||||||
| 25.0 kg/m2 | ||||||||
| Nobili et al., 2008 [ | Open-label, randomized, placebo-controlled | 53 M/F | Vitamin C (500 mg/day) + Vitamin E (600 IU/day) vs. placebo | 104 | n.a. | AST = | n.a. | =LIVER FAT = NASH = FIBROSIS ↓ NAFLD activity score |
| 11.9 years | ||||||||
| 25.8 kg/m2 | ALT = | |||||||
= no changes; ↓ significant decrease. BMI: body mass index; NASH: non-alcoholic steatohepatitis; M: male; F: female; ALT: alanine aminotransferase; AST: aspartate aminotransferase; n.a.: not assessed; UDAC: ursodeoxycholic acid; IU: international unit; US: ultrasonography; NAFLD non-alcoholic fatty liver disease.
Clinical trials on the effects of vitamin D supplementation on NAFLD in individuals at high cardiometabolic risk.
| Author (Reference) | Study Design | Study Population Participants Age BMI | Intervention and Doses | Duration Weeks | Observed Effects with Vitamin D | |||
|---|---|---|---|---|---|---|---|---|
| Liver Imaging | Liver Biomarkers | Liver Scores | Liver Biopsy | |||||
| Sharifi et al., 2014 [ | Double-blind, randomized, placebo-controlled, parallel | 53 M/F | Cholecalciferol (3570 IU/day) vs. placebo | 16 | = LIVER FAT (US) | AST = | n.a. | n.a. |
| 42.1 years | ALT = | |||||||
| 30.3 kg/m2 | ||||||||
| Barchetta et al., 2016 [ | Double-blind, randomized, placebo-controlled | 65 M/F | Cholecalciferol (2000 IU/day) vs. placebo | 24 | = LIVER FAT (1H-MRS) | AST = | = FLI | n.a. |
| T2DM | ||||||||
| 58.6 years | ALT = | |||||||
| CK-18 = | ||||||||
| 30.0 kg/m2 | P3NP = | |||||||
| Lorvand Amiri et al., 2016 [ | Double-blind, randomized, placebo-controlled | 73 M/F | Cholecalciferol (1000 IU/day) + hypocaloric diet vs. placebo + hypocaloric diet | 12 | ↓ LIVER FAT (US) | AST ↓ | n.a. | n.a. |
| 41.9 years | ALT ↓ | |||||||
| 30.3 kg/m2 | ||||||||
= no changes; ↓ significant decrease; BMI: body mass index; M: male; F: female; T2DM: type 2 diabetes mellitus; ALT: alanine aminotransferase; AST: aspartate aminotransferase; n.a.: not assessed; US: ultrasonography; 1H-MRS: proton magnetic resonance spectroscopy; IU: international unit; CK-18: Cytokeratin-18; P3NP: N-terminal Procollagen III Propeptide; FLI: fatty liver index.