Table 2.
Reference | Participants | Study arm | Comparison arm | Duration of intervention | Effects on gut microbiome | Effects on other physiologic parameters | Other key findings |
---|---|---|---|---|---|---|---|
Haro 2016 [46] | Twenty obese subjects | MD | LFHCC diet | 1 year |
↑ Roseburia, Oscillospira, Parabacteroides distasonis ↓ Prevotella, Faecalibacterium prausnitzii |
↑ Insulin sensitivity index Different urinary metabolomic profile |
LFHCC diet also induced favorable changes in gut microbiome composition |
Meslier 2020 [47] | Eighty-two overweight and obese subjects with low fruit and vegetable intake | MD | Habitual diet | 8 weeks |
↑ Faecalibacterium prausnitzii ↓ Ruminococcus gnavus ↑ representation of genes involved in carbohydrate metabolism and SCFA synthesis |
↓ plasma cholesterol ↑ Insulin sensitivity ↓ fecal bile acids |
MD resulted into increased levels of urinary urolithins, proportionate to plant food intake |
Pagliai 2020 [48] | Twenty-three overweight subjects with low/moderate cardiovascular risk | Low-calorie MD | Vegetarian diet | 3 + 3 months (cross-over design) |
↑ Enterohabdus, Lachnoclostridium, Parabacteroides ↑ synthesis of propionic acid |
↓ inflammatory cytokines | No major changes in microbiome composition with either dietary pattern |
Rinott 2022 [49] | Two hundred and forty-nine subjects with abdominal obesity/dyslipidemia | MD or Green MD plus walnuts | Standard guideline-based healthy diet | 6 months |
↑ Prevotella ↓ Bifidobacterium ↑ representation of genes involved in branched-chain amino acid metabolism |
↓ Body weight, blood pressure, blood lipids ↑ Insulin sensitivity |
The beneficial effects of MD are mediated by specific changes in gut microbiome, that are emphasized in green MD |
Calabrese 2022 [50] | One hundred and nine patients with NAFLD | LGIMD with or without aerobic activity | Standard guideline-based healthy diet | 3 months |
Changes in overall composition ↑ Ruminococcus, Enterohabdus, Coprobacter, Lachnospiraceae |
↓ elastosonographic index of liver fibrosis | The effects of MD on gut microbiome are emphasized when MD is associated with physical activity |
Ben-Yacov 2023 [53] | Two hundred adults with pre-diabetes | MD | PPT diet based on machine-learning | 6 months | ↑ Bifidobacterium adolescentis and other taxa |
↓ plasma cholesterol ↑ Insulin sensitivity |
PPT diet was more effective in driving changes in gut microbiome composition |
Haro 2016 [54] | Two hundred and thirty-nine patients with CHD (with or without metabolic syndrome) | MD | Low-fat diet | 2 years | ↑ Parabacteroides distasonis, Bacteroides thetaiotamicron, Faecalibacterium prausnitzii, Bifidobacterium adolescentis in patients with metabolic syndrome |
↓ waist circumference ↓ glucose plasma levels ↓ triglycerides ↑ HDL |
Mediterranean diet-induced marked changes in fecal microbiome composition only in subjects with metabolic syndrome |
Galié 2021 [55, 56] | Thirty-eight overweight patients with metabolic syndrome | MD | Free diet with 50 g/day nut supplement | 2 + 2 months (cross-over design) | ↑ Lachnospiraceae, Ruminococcaceae | ↓ glucose, insulin, HOMA-IR | MD-induced changes in microbiome were associated with positive changes in fecal acetate and with changes in 65 serum metabolites |
Lewis 2021 [57] | One hundred and ninety-one patients with Crohn’s disease | MD | Carbohydrate diet tailored to Chron’s disease | 6 weeks | No major differences in microbiome composition | Improvement of parameters of inflammation in both diets | Two distinct clusters of microbiome response to diet were identified, one with increasing abundance of Bacteroides vulgatus and the other with decreasing abundance of Faecalibacterium prausnitzii |
MD Mediterranean Diet; LFHCC Low-Fat High-Complex Carbohydrate; LGIMD Low-Glycemic Index Mediterranean Diet; PPT Personalized Postprandial Targeting; CHD Coronary Heart Disease; HDL High-Density Lipoprotein; HOMA-IR Homeostatic Model Assessment of Insulin Resistance; NAFLD Non-Alcoholic Fatty Liver Disease