number | First Author, Year of publication | Study design | Sample size(n) | Region | Participants characteristics | Microbiota assessment | Outcome (Significant Difference in Microbiota Composition) | Clinical outcomes | Bacterial Diversity and correlation with MD adherence | Main Nutrients features |
---|---|---|---|---|---|---|---|---|---|---|
Metabolites assessment | Outcome (Difference in metabolites) | |||||||||
Questionnaire for dietary adherence assessment | ||||||||||
1 | Gutierrez-Diaz (2016) [17] | cohort | 31 | Italy | Healthy individual without any PMH, and no DH in the past 6 months. mean age: 42.1 y; 8M, 24F BMI: 26 | 16S rRNA sequencing | ↑ Bacteroidetes (p=0.001) ↑ Prevotella (p=0.003) ↑ Prevotellacea (p=0.002) ↓ Firmicutes (p=0.003) ↓ Lachnospiraceae (p=0.045) | NA | NA | ↑ Cereals ↑ Legumes ↑ Vegetable ↑fruits ↑monosaturated to saturated ratio \(\to\) ethanol ↓ meat ↓ milk |
MS; HLPC; GC; CE | faecal propionate (p=0.034) fecal butyrate (p=0.018) | |||||||||
• (0-8) points Trichopoulou MDS • FFQ | ||||||||||
2 | Gutierrez-Diaz (2017) [22] | Cross-sectional | 74 | Spain | Healthy individual >50 years without any PMH, and no DH (including probiotics) in the past month, mean age: 71.3 y 20M, 54F | 16S rRNA sequencing | ↑ Clostridium cluster XIVa (p=0.016) \(\uparrow\) Faecalibacterium (p=0.006) | NA | NA | ↑ Cereals ↑ Legumes ↑ Vegetable ↑fruits ↑monosaturated to saturated ratio \(\to\) ethanol ↓ meat ↓ milk |
MS; HLPC; GC; CE | ↑ benzoic acid (p<0.05) ↑ 3-hydroxyphenylacetic acids (p<0.05); No effect (p>0.05) on phenylacetic acid, phenylpropionic acid, 3-(3-hydroxyphenyl) propionic acid, 4 hydroxyphenyl acetic acid, vanillic acid, syringic acid, phthalic acid or γ-valerolactone. | |||||||||
• (0-8) points Trichopoulou MDS • FFQ | ||||||||||
3 | Mitsou 2017 [1] | Cross-sectional | 116 | Greece | Healthy individual 18-65 years without any PMH, and no DH (including probiotics) Mean age: 42 y 61M, 55F BMI: 27 | 16S rRNA sequencing | ↑ Bacteroides (p=0.011) ↓ Escherichia coli (p=0.022) ↓ Candida Albicans (p=0.039) | ↑fecal moisture& defecation frequency ↓ bloating | NA | ↑ non-refined ↑ cereals ↑ fruit ↑vegetables ↑ potatoes ↑ legumes ↑ olive oil ↑ fish |
GC | ↑ acetate (p=0.009) ↓ Caproic acid (p=0.045); No effect (p>0.05) on total SCFA, propionate, butyrate, iso-butyrate, iso-valerate, iso-caproic acid, valerate and heptanoic acid | |||||||||
• Three tertiles (0-11 points) • Panagiotakos classification MDS • FFQ | ||||||||||
4 | Shankar2017 [23] | cohort | 42 | USA & Egypt | Healthy teenagers without any PMH, and no DH in the last 3 months (including probiotics); 28 Egypt (mean age: 13.9 y) received MD 14 U.S (mean age= 12.9 y) received western Diet | 16S rRNA sequencing | ↑ Prevotella (p<0.05) ↓ Bacterioides (p<0.05) | NA | Bray-Curtis beta diversity: significant intersample dissimilarity | ↑ fruits ↑vegetables ↑ whole grain ↑ beans ↑ nuts ↑ plant fats ↓ meats ↓ sweets |
nuclear magnetic resonance | ↑ SCFA (p<0.05) (acetatae; butyrate; propionate) | |||||||||
• Not specified MDS | ||||||||||
5 | Bowyer 2018 [24] | cohort | 2070 | UK | mono- and dizygotic twins; 1863 F, 207 M mean age: 60.5 mean BMI: 25.9 | 16S rRNA sequencing | ↓ Ruminococcus (p<0.05) ↓ Lachnospira (p<0.05) ↓ Actinomyces (p<0.05) | NA | Beta-diversity: Weighted and Unweighted UniFrac distances/ significant distinction Alpha diversity via Chao1, OTUs, Shannon, and Simpson./ Significant correlation of all alpha measures with at least one dietary measure. | NA |
NA | NA | |||||||||
• (0-10) points classification MDS, • FFQ • Healthy eating index (HEI), • Healthy food diversity (HFD) | ||||||||||
6 | Garcia-Mantrana 2018 [25] | cross- sectional | 27 | Spain | Healthy individuals without any PMH, and no DH in the last 2 months (including probiotics); mean age: 39.5 y 16 F (mean BMI:21.95), 11M (mean BMI: 25.29) | 16S rRNA sequencing | ↑Christensenellaceae (p<0.05) ↓Streptococcaceae (p>0.05) ↑ Bifidobacteriae (p<0.05) | NA | Alpha diversity via Chao1 and Shannon./ no significant result in Shannon; but higher bacterial richness via Chao1in MD | NA |
HPLC | ↑ total SCFA (p=0.020) ↑ acetate (p=0.006) ↑ propionate (p=0.016) | |||||||||
(0-14) points classification MDS, FFQ PREDIMED test | ||||||||||
7 | Maskarinec 2019 [15] | Cohort | 1735 | USA | Japanese American, Latino, Hawaiians, and African Americans; Healthy; 858 M, 877F, mean age= 69 y 29.3% NL weight, 40.4% overweight, 30.3% obese BMI= 28 [17.1-49.8] | 16S rRNA sequencing | ↓ Actinobacteria (p<0.05) | NA | Beta-diversity: Weighted and Unweighted UniFrac distances/ significant distinction Alpha diversity via Shannon./ Linear trend in 4 dietary measure. | NA |
NA | NA | |||||||||
(0-8) points Trichopoulou MDS qFFQ HEI | ||||||||||
8 | Cox 2020 [14] | cohort | 296 | USA and Turkey | 200 M; 96 F; Age: 58 BMI: 27 139 Turkish (46 healthy controls, 50 compensated & 43 decompensated cirrhotic; 79M, 60F) received MD 157 American (48 healthy controls, 59 compensated & 50 decompensated cirrhotic; 121M,36F) received western diet | 16S rRNA sequencing | ↑beneficial taxa (Oscillibacter, Blautia) (p<0.05), | Altered diet‐microbial interactions could affect the 90‐day hospitalization risk | Alpha diversity via Shannon./ higher alpha diversity with MD adherence. | NA |
nuclear magnetic resonance (NMR) spectroscopy | ↑ plasma lactate (p<0.001) | |||||||||
Not specified MDS; FFQ | ||||||||||
9 | Gallè 2020 [26] | Cross-sectional | 140 | Italy | Apparently healthy 68M, 72F mean age :22.5 y mean BMI:22.4 | 16S rDNA sequencing | ↑ Firmicutes (p = 0.001) ↑ Bacteroidetes (p = 0.001) ↑ Lactobacillus(p=0.002) ↑ Lactococcus (p=0.01) ↓ Paraprevotella (p = 0.001) ↓Oscillospira (p = 0.001) ↓Ruminococcus (p = 0.001) | NA | Beta-diversity: Bray-Curtis/ significant distinction Alpha diversity via Shannon./no significant association | NA |
NA | NA | |||||||||
• (0-9) points Martínez-González MDS • IPAQ | ||||||||||
10 | Maldonado-Contreras 2020 [32] | Cross-sectional | 20 | USA (Caribbean Latino) | Caribbean Latino from senior center with CVD with no antibiotic in last 6 months; 9 with T2DM mean age: 62.7 y mean BMI: 28.9 4M, 16F | 16S rRNA sequencing | ↑ Prevotella copri (p=0.001) | NA | Beta-diversity: Uni-Frac / significant association with some of dietary components. Alpha diversity via Faith’s PD and Shannon./ significant correlation between Shannon and total HEI-2015 score; no significant association between Faith’s PD and total HEI-2015 score | ↑fruit ↑vegetables ↓seafood protein ↓total protein |
MS | ↓Acetate in MDS (p=0.04) ↓ butyrate in MDS (0.03) ↑Acetate in HEI (p=0.06) ↑ propionate in HEI (0.02) | |||||||||
• (0-9) points Trichopoulou MDS • HEI • FFQ • DAS-28 | ||||||||||
11 | Ruiz-Saavedra 2020 [27] | cross-sectional | 73 | Spain | Healthy individuals without any PMH, and no DH in the last 2 months (including probiotics) 20 M, 53 F BMI:19.9-37.5 Age:56-95 | PCR | ↑Faecalibacterium. Prausnitzii (p<0.05) ↓ Lactobacillus. Spp (p<0.05) | ↓ serum IL-8 | NA | NA |
Gas chromatography | ↑ SCFA (p-value<0.05) | |||||||||
• (0-9) points Trichopoulou MDS • FFQ • DII • EDII • HEI • AHEI • DQI-I • MMDS • rMDS | ||||||||||
12 | Valeriani 2020 [28] | Cross- sectional | 59 | Italy (Caucasian) | Healthy individuals without any PMH, and no DH in the last 3 months; mean BMI:22 mean age:23 y 29M, 30F | 16S rRNA sequencing | ↑Firmicutes (p>0.05) ↓Bacteroidetes (p>0.05) | NA | NA | NA |
NA | NA | |||||||||
• (0-9) points Martínez-González MDS • IPAQ | ||||||||||
13 | Rosés 2021 [29] | Cohort | 360 | Spain | Healthy individual without PMH and DH with BMI:25-40; 251F, 109 M mean age: 45.0 y mean BMI: 28.8 | 16S rRNA sequencing | ↑Oscillibacter valericigenes (p<0.001) ↑Oscillospira (Flavonifractor) plautii (p<0.001) ↑Roseburia faecis (p<0.001) ↑Ruminococcus bromii (p=0.01) ↑Butyricicoccus pullicaecorum (p<0.001) ↑Papillibacter cinnamivorans (p=0.04) ↑ Bifidobacterium animalis (p<0.001) | NA | Beta-diversity: Bray-Curtis/ no significant correlation with MD adherence. Alpha diversity via Shannon./no significant correlation with MD adherence. | ↑ Fiber ↑ Legumes ↑Vegetables ↑ fruit ↑ olive oil ↑ nuts |
Reconstructive method by Kegg | ↑SCFA (p-value: N/A) (SCFAs were not directly quantified via fecal/blood samples. They were assessed indirectly through other biomarkers, such as K0) | |||||||||
• (0-14) points classification MDS; • FFQ including 137 food items with corresponding portion size, • PREDIMED 14-item questionnaire | ||||||||||
14 | Wang 2021 [30] | prospective | 307 | USA | Healthy at baseline Age:45-80 y 307M | 16sr RNA sequencing | ↑ Eubacterium eligens (p<0.05) ↑ Faecalibacterium prausnitzii (p<0.05) ↑ Bacteroides cellulosilyticus (p<0.05) ↓ Clostridium leptum (p<0.05) ↓Collinsella aerofaciens (p<0.05) ↓ Ruminococcus torques (p<0.05) | NA | Beta-diversity: Bray-Curtis/ no significant correlation with MD adherence. Alpha diversity via Shannon./no significant correlation with MD adherence | ↑vegetables↑legumes, ↑fruit, ↑nuts, ↑whole grains, ↓red/processed meat, ↑fish, ↓alcohol ↑ ratio of monounsaturated to saturated fat. |
NA | ↑SCFA (p-value: N/A) | |||||||||
• (0-9) points Trichopoulou MDS; • FFQ • MD index; Med-diet | ||||||||||
15 | Turpin 2022 [31] | cohort | 2289 | Canada | Healthy first-degree relatives of patients with Crohn’s disease; Median age: 18 1083 M, 1206 F | Stool analysis (not specified) | ↑Ruminococcus (p<0.05) ↑Faecalibacterium (p<0.05) | NA | NA | ↑fruits, ↑vegetables, ↑plant proteins, ↑whole grains ↑low-calorie starches ↑low-fat or no-fat dairy content ↑milk alternatives |
NA | NA | |||||||||
• (0-14) points MDS • FFQ | ||||||||||
16 | De Filippis 2015 [11] | cohort | 153 | Italy | Apparently healthy volunteers comprising 51 vegetarians, 51 vegans and 51 omnivores; Age: 27-47; BMI: 22 | 16S rRNA sequencing | ↑ Prevotella (p<0.01) ↑ Lachnospira (p<0.01) ↓ L-Ruminococcus (p<0.001) | NA | Beta-diversity: Uni-Frac / no significant correlation with MD adherence. Alpha diversity via not-determined method./no significant correlation | ↑cereals, ↑fruit, ↑vegetable ↑legumes |
GC-MS | ↑ total SCFA (p<0.05) ↑Acetate (p<0.05) ↑ Propionate (p<0.05) | |||||||||
• (0-9) points Trichopoulou MDS; | ||||||||||
17 | Calabrese 2023 [33] | Cohort | 46 | Italy | 46 moderate to severe NAFLD patients; BMI \(\ge\) 25; Age>30 and <60; two groups: Only physical activity and physical activity+MedDiet; | 16S rRNA sequencing | ↑Peptococcaceae(p<0.05) ↑Rikenellaceae (p<0.05) ↑Oscillospiraceae(p<0.05) ↑Ruminococcaceae (p<0.05) ↑Lachnospiraceae (p<0.05) ↑Haemophilus (p<0.05) ↑Sanguibacteroides (p<0.05) ↑Catenibactrium (p<0.05) | Better DM/hyperlipidemic state control | NA | saturated fats \(\le\) 10% of total daily calories |
GC-MS | ↓Butanoic Acid (p<0.05) ↓Pentanoic Acid (p<0.05) ↓Heptanoic Acid (p<0.05) | |||||||||
• FFQ |