Effect of green-Mediterranean diet on intrahepatic fat: the DIRECT PLUS randomised controlled trial

Anat Yaskolka Meir, Ehud Rinott, Gal Tsaban, Hila Zelicha, Alon Kaplan, Philip Rosen, Ilan Shelef, Ilan Youngster, Aryeh Shalev, Matthias Blüher, Uta Ceglarek, Michael Stumvoll, Kieran Tuohy, Camilla Diotallevi, Urska Vrhovsek, Frank Hu, Meir Stampfer, Iris Shai, Anat Yaskolka Meir, Ehud Rinott, Gal Tsaban, Hila Zelicha, Alon Kaplan, Philip Rosen, Ilan Shelef, Ilan Youngster, Aryeh Shalev, Matthias Blüher, Uta Ceglarek, Michael Stumvoll, Kieran Tuohy, Camilla Diotallevi, Urska Vrhovsek, Frank Hu, Meir Stampfer, Iris Shai

Abstract

Objective: To examine the effectiveness of green-Mediterranean (MED) diet, further restricted in red/processed meat, and enriched with green plants and polyphenols on non-alcoholic fatty liver disease (NAFLD), reflected by intrahepatic fat (IHF) loss.

Design: For the DIRECT-PLUS 18-month randomized clinical trial, we assigned 294 participants with abdominal obesity/dyslipidaemia into healthy dietary guidelines (HDG), MED and green-MED weight-loss diet groups, all accompanied by physical activity. Both isocaloric MED groups consumed 28 g/day walnuts (+440 mg/day polyphenols provided). The green-MED group further consumed green tea (3-4 cups/day) and Mankai (a Wolffia globosa aquatic plant strain; 100 g/day frozen cubes) green shake (+1240 mg/day total polyphenols provided). IHF% 18-month changes were quantified continuously by proton magnetic resonance spectroscopy (MRS).

Results: Participants (age=51 years; 88% men; body mass index=31.3 kg/m2; median IHF%=6.6%; mean=10.2%; 62% with NAFLD) had 89.8% 18-month retention-rate, and 78% had eligible follow-up MRS. Overall, NAFLD prevalence declined to: 54.8% (HDG), 47.9% (MED) and 31.5% (green-MED), p=0.012 between groups. Despite similar moderate weight-loss in both MED groups, green-MED group achieved almost double IHF% loss (-38.9% proportionally), as compared with MED (-19.6% proportionally; p=0.035 weight loss adjusted) and HDG (-12.2% proportionally; p<0.001). After 18 months, both MED groups had significantly higher total plasma polyphenol levels versus HDG, with higher detection of Naringenin and 2-5-dihydroxybenzoic-acid in green-MED. Greater IHF% loss was independently associated with increased Mankai and walnuts intake, decreased red/processed meat consumption, improved serum folate and adipokines/lipids biomarkers, changes in microbiome composition (beta-diversity) and specific bacteria (p<0.05 for all).

Conclusion: The new suggested strategy of green-Mediterranean diet, amplified with green plant-based proteins/polyphenols as Mankai, green tea, and walnuts, and restricted in red/processed meat can double IHF loss than other healthy nutritional strategies and reduce NAFLD in half.

Trial registration number: NCT03020186.

Keywords: epidemiology; fatty liver; magnetic resonance imaging; nutrition.

Conflict of interest statement

Competing interests: IS advises to the Hinoman, Ltd. nutritional committee. Youngster is medical advisor for Mybiotix Ltd.

© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Figures

Figure 1
Figure 1
Flow chart of the Dietary Intervention Randomized Controlled Trial Polyphenols Unprocessed study. HDG, healthy dietary guidelines; MED, Mediterranean.
Figure 2
Figure 2
(A–C)18-month changes in weight and intrahepatic fat. (A) 18-month absolute change in weight between intervention groups (ITT analysis, n=294). (B)18-month changes in IHF% between intervention groups (ITT analysis, adjusted p values for age, sex and baseline IHF%; n=269). (C) Illustrative MRI: a comparison of two male participants, similar age (46 years) and similar baseline WC (105 cm). Participant A was randomly assigned to the MED groups; participant B was assigned to the green-MED group. Both participants lost about 12% of their initial weight after 18 months and reported consuming at least 5–6 time/week walnuts (reported on 28 g/time). Total plasma polyphenol levels at the end of the intervention were higher in the green-MED participant versus MED participant (0.67 mg/L vs 0.24 mg/L). *Significant within-group change versus baseline at 0.05 level. Colour liver images were generated using pride software (by Philips). HDG, healthy dietary guidelines; IHF, intrahepatic fat; ITT, intention to treat; MED, Mediterranean; WC, waist circumference.
Figure 3
Figure 3
Changes in IHF across tertiles/categories of dietary components. Mankai shake and green tea tertiles are calculated from the weighted mean of consumption reported after 6 and 18 months of intervention. serum folate tertiles (of 18-month change in serum folate): T1≤−0.41; T2=−0.40 to 1.46; T3≥1.47; Mankai shake tertiles: T1≤1.67/week; T2=1.68 to 3.00/week; T3≥3.01/week; green tea tertiles: T1≤2/day; T2=2.01 to 3.67/day; T3≥3.68/day; walnut consumption categories: low: 0 to 1–3 times/month; medium: 1–2/week to 3–4/week; high: more than 5–6/week. Categories intervention group distribution for walnuts: low consumption: 60% MED, 40% green-MED; medium consumption: 45% MED, 55% green-MED; high consumption: 45% Med, 55% green-MED. Specific between tertiles/consumption group p values are corrected for multiple comparisons. # none of the participants reported on more processed meat. IHF, intrahepatic fat; MED, Mediterranean; T1, lowest tertile; T2, intermediate tertile; T3, highest tertile.
Figure 4
Figure 4
(A–D) Intrahepatic fat and the gut microbiome. (A) Gut microbiome composition (beta diversity) and IHF% at baseline. Gut microbiome composition and IHF, shown by principal coordinate analysis (PCoA) of UniFrac distances between all baseline samples. Colours denotes 1st (grey) 2nd (yellow) and 3rd (brown) IHF% tertiles. 95% SE ellipses are shown for each tertile. Boxplots on the right describe PCo1 score by IHF% tertile. (B) Gut microbiome composition change and IHF% change. Correlation between principal component 5 (PCo5), the principal coordinate most highly correlated with IHF change (Y axis), and 18-month change in intrahepatic fat. Colours denotes lifestyle intervention group allocation. Boxplots on the right describe PCo5 score by IHF% lifestyle intervention group. (C) Mediation analysis: assessing the proportional mediatory effect of microbiome composition change (measured as PCo5) in the association between lifestyle intervention and IHF% change. (D) Stepwise identification of genus level bacteria associated with: IHF% at baseline (top, two selected bacteria), IHF% 18-month change (middle, heatmap) and with lifestyle intervention (bottom, bar plot, selected bacteria). IHF, intrahepatic fat.

References

    1. van Herpen NA, Schrauwen-Hinderling VB. Lipid accumulation in non-adipose tissue and lipotoxicity. Physiol Behav 2008;94:231–41. 10.1016/j.physbeh.2007.11.049
    1. Byrne CD, Targher G. Nafld: a multisystem disease. J Hepatol 2015;62:S47–64. 10.1016/j.jhep.2014.12.012
    1. Gepner Y, Shelef I, Komy O, et al. . The beneficial effects of Mediterranean diet over low-fat diet may be mediated by decreasing hepatic fat content. J Hepatol 2019;71:379–88. 10.1016/j.jhep.2019.04.013
    1. Sharpton SR, Ajmera V, Loomba R. Emerging role of the gut microbiome in nonalcoholic fatty liver disease: from composition to function. Clin Gastroenterol Hepatol 2019;17:296–306. 10.1016/j.cgh.2018.08.065
    1. Kolodziejczyk AA, Zheng D, Shibolet O, et al. . The role of the microbiome in NAFLD and NASH. EMBO Mol Med 2019;11:e9302. 10.15252/emmm.201809302
    1. Younossi Z, Anstee QM, Marietti M, et al. . Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention. Nat Rev Gastroenterol Hepatol 2018;15:11–20. 10.1038/nrgastro.2017.109
    1. Stefan N, Kantartzis K, Häring H-U. Causes and metabolic consequences of fatty liver. Endocr Rev 2008;29:939–60. 10.1210/er.2008-0009
    1. Zelber-Sagi S, Godos J, Salomone F. Lifestyle changes for the treatment of nonalcoholic fatty liver disease: a review of observational studies and intervention trials. Therap Adv Gastroenterol 2016;9:392–407. 10.1177/1756283X16638830
    1. Plauth M, Bernal W, Dasarathy S, et al. . ESPEN guideline on clinical nutrition in liver disease. Clin Nutr 2019;38:485–521. 10.1016/j.clnu.2018.12.022
    1. Zelber-Sagi S, Salomone F, Mlynarsky L. The Mediterranean dietary pattern as the diet of choice for non-alcoholic fatty liver disease: evidence and plausible mechanisms. Liver Int 2017;37:936–49. 10.1111/liv.13435
    1. Dinu M, Pagliai G, Casini A, et al. . Mediterranean diet and multiple health outcomes: an umbrella review of meta-analyses of observational studies and randomised trials. Eur J Clin Nutr 2018;72:30–43. 10.1038/ejcn.2017.58
    1. Estruch R, Ros E, Salas-Salvadó J, et al. . Primary prevention of cardiovascular disease with a Mediterranean diet supplemented with extra-virgin olive oil or nuts. N Engl J Med 2018;378:e34. 10.1056/NEJMoa1800389
    1. Shai I, Schwarzfuchs D, Henkin Y, et al. . Weight loss with a low-carbohydrate, Mediterranean, or low-fat diet. N Engl J Med 2008;359:229–41. 10.1056/NEJMoa0708681
    1. Pandey KB, Rizvi SI. Plant polyphenols as dietary antioxidants in human health and disease. Oxid Med Cell Longev 2009;2:270–8. 10.4161/oxim.2.5.9498
    1. Rodriguez-Ramiro I, Vauzour D, Minihane AM. Polyphenols and non-alcoholic fatty liver disease: impact and mechanisms. Proc Nutr Soc 2016;75:47–60. 10.1017/S0029665115004218
    1. Saura-Calixto F, Serrano J, Goñi I. Intake and bioaccessibility of total polyphenols in a whole diet. Food Chem 2007;101:492–501. 10.1016/j.foodchem.2006.02.006
    1. Chun OK, Chung SJ, Song WO. Estimated dietary flavonoid intake and major food sources of U.S. adults. J Nutr 2007;137:1244–52. 10.1093/jn/137.5.1244
    1. Gepner Y, Shelef I, Schwarzfuchs D, et al. . Effect of distinct lifestyle interventions on mobilization of fat storage pools: central magnetic resonance imaging randomized controlled trial. Circulation 2018;137:1143–57. 10.1161/CIRCULATIONAHA.117.030501
    1. Cueto-Galán R, Barón FJ, Valdivielso P, et al. . Changes in fatty liver index after consuming a Mediterranean diet: 6-year follow-up of the PREDIMED-Malaga trial. Med Clin 2017;148:435–43. 10.1016/j.medcle.2017.04.030
    1. Mazidi M, Kengne AP. Higher adherence to plant-based diets are associated with lower likelihood of fatty liver. Clin Nutr 2019;38:1672–7. 10.1016/j.clnu.2018.08.010
    1. Chiu TH, Lin M-N, Pan W-H, et al. . Vegetarian diet, food substitution, and nonalcoholic fatty liver. Tzu-Chi Med J 2018;30:102.
    1. Regueiro J, Sánchez-González C, Vallverdú-Queralt A, et al. . Comprehensive identification of walnut polyphenols by liquid chromatography coupled to linear ion trap-Orbitrap mass spectrometry. Food Chem 2014;152:340–8. 10.1016/j.foodchem.2013.11.158
    1. Yaskolka Meir A, Tsaban G, Zelicha H, et al. . A Green-Mediterranean diet, supplemented with Mankai duckweed, preserves Iron-Homeostasis in humans and is efficient in reversal of anemia in rats. J Nutr 2019;149:1004–11. 10.1093/jn/nxy321
    1. Sela I, Yaskolka Meir A, Brandis A, et al. . Wolffia globosa-Mankai Plant-Based Protein Contains Bioactive Vitamin B12 and Is Well Absorbed in Humans. Nutrients 2020;12:3067. 10.3390/nu12103067
    1. Kukuk GM, Hittatiya K, Sprinkart AM, et al. . Comparison between modified Dixon MRI techniques, MR spectroscopic relaxometry, and different histologic quantification methods in the assessment of hepatic steatosis. Eur Radiol 2015;25:2869–79. 10.1007/s00330-015-3703-6
    1. Hu HH, Kim H-W, Nayak KS, et al. . Comparison of fat-water MRI and single-voxel MRS in the assessment of hepatic and pancreatic fat fractions in humans. Obesity 2010;18:841–7. 10.1038/oby.2009.352
    1. Shai I, Shahar DR, Vardi H, et al. . Selection of food items for inclusion in a newly developed food-frequency questionnaire. Public Health Nutr 2004;7:745–9. 10.1079/PHN2004599
    1. Shai I, Rosner BA, Shahar DR, et al. . Dietary evaluation and attenuation of relative risk: multiple comparisons between blood and urinary biomarkers, food frequency, and 24-hour recall questionnaires: the DEARR study. J Nutr 2005;135:573–9. 10.1093/jn/135.3.573
    1. Moll R, Davis B, Iron DB. Iron, vitamin B 12 and folate. Medicine 2017;45:198–203. 10.1016/j.mpmed.2017.01.007
    1. Szczepaniak LS, Nurenberg P, Leonard D, et al. . Magnetic resonance spectroscopy to measure hepatic triglyceride content: prevalence of hepatic steatosis in the general population. Am J Physiol Endocrinol Metab 2005;288:E462–8. 10.1152/ajpendo.00064.2004
    1. Li P, Stuart EA, Allison DB. Multiple imputation: a flexible tool for handling missing data. JAMA 2015;314:1966–7. 10.1001/jama.2015.15281
    1. Bowman SA, Clemens JC, Friday JE, et al. . Food Patterns Equivalents Database 2011–12: Methodology and User Guide. Food Surveys Research Group, Beltsville Human Nutrition Research Center. Agric Res Serv US Dep Agric 2014.
    1. Rinott E, Youngster I, Meir AY, et al. . Effects of Diet-Modulated autologous fecal microbiota transplantation on weight regain. Gastroenterology 2020:j.gastro.2020.08.041. 10.1053/j.gastro.2020.08.041
    1. Schwarzfuchs D, Golan R, Shai I. Four-Year follow-up after two-year dietary interventions. N Engl J Med 2012;367:1373–4. 10.1056/NEJMc1204792
    1. Spencer JPE, Abd El Mohsen MM, Minihane A-M, et al. . Biomarkers of the intake of dietary polyphenols: strengths, limitations and application in nutrition research. Br J Nutr 2008;99:12–22. 10.1017/S0007114507798938
    1. Friedrich-Rust M, Müller C, Winckler A, et al. . Assessment of liver fibrosis and steatosis in pBC with FibroScan, MRI, MR-spectroscopy, and serum markers. J Clin Gastroenterol 2010;44:58–65. 10.1097/MCG.0b013e3181a84b8d
    1. van Werven JR, Hoogduin JM, Nederveen AJ, et al. . Reproducibility of 3.0 Tesla magnetic resonance spectroscopy for measuring hepatic fat content. J Magn Reson Imaging 2009;30:444–8. 10.1002/jmri.21837
    1. Johnson NA, Sachinwalla T, Walton DW, et al. . Aerobic exercise training reduces hepatic and visceral lipids in obese individuals without weight loss. Hepatology 2009;50:1105–12. 10.1002/hep.23129
    1. Chen C, Liu Q, Liu L, et al. . Potential Biological Effects of (-)-Epigallocatechin-3-gallate on the Treatment of Nonalcoholic Fatty Liver Disease. Mol Nutr Food Res 2018;62:1700483. 10.1002/mnfr.201700483
    1. Akhlaghi M. Non-Alcoholic fatty liver disease: beneficial effects of flavonoids. Phytother Res 2016;30:1559–71. 10.1002/ptr.5667
    1. García-Niño WR, Zazueta C. Ellagic acid: pharmacological activities and molecular mechanisms involved in liver protection. Pharmacol Res 2015;97:84–103. 10.1016/j.phrs.2015.04.008
    1. Hernández-Aquino E, Muriel P. Beneficial effects of naringenin in liver diseases: molecular mechanisms. World J Gastroenterol 2018;24:1679–707. 10.3748/wjg.v24.i16.1679
    1. Dempsey D'Maris Amick, Vlot AC, Wildermuth MC, et al. . Salicylic acid biosynthesis and metabolism. Arabidopsis Book 2011;9:e0156. 10.1199/tab.0156
    1. da Silva RP, Kelly KB, Al Rajabi A, et al. . Novel insights on interactions between folate and lipid metabolism. Biofactors 2014;40:277–83. 10.1002/biof.1154
    1. Xia M-F, Bian H, Zhu X-P, et al. . Serum folic acid levels are associated with the presence and severity of liver steatosis in Chinese adults. Clin Nutr 2018;37:1752–8. 10.1016/j.clnu.2017.06.021
    1. Fisher FM, Maratos-Flier E. Understanding the physiology of FGF21. Annu Rev Physiol 2016;78:223–41. 10.1146/annurev-physiol-021115-105339
    1. Bäckhed F, Ding H, Wang T, et al. . The gut microbiota as an environmental factor that regulates fat storage. Proc Natl Acad Sci U S A 2004;101:15718–23. 10.1073/pnas.0407076101
    1. Da Silva HE, Teterina A, Comelli EM, et al. . Nonalcoholic fatty liver disease is associated with dysbiosis independent of body mass index and insulin resistance. Sci Rep 2018;8:1466. 10.1038/s41598-018-19753-9
    1. Jiang W, Wu N, Wang X, et al. . Dysbiosis gut microbiota associated with inflammation and impaired mucosal immune function in intestine of humans with non-alcoholic fatty liver disease. Sci Rep 2015;5:8096. 10.1038/srep08096
    1. Le Roy T, Llopis M, Lepage P, et al. . Intestinal microbiota determines development of non-alcoholic fatty liver disease in mice. Gut 2013;62:1787–94. 10.1136/gutjnl-2012-303816

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