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Table 2 Characteristics of included interventional studies

From: Adherence to the Mediterranean diet can beneficially affect the gut microbiota composition: a systematic review

No

First Author, Year

Study design

Sample size(n)

Region

Participants

characteristics

Dietary intervention

Microbiota assessment

Significant Difference in Microbiota Composition

Clinical outcomes

Microbial diversity and its correlation with MD adherence

Main

Nutrients

features

Metabolites assessment

Significant Difference in metabolites

Questionnaire for dietary adherence assessment

1

Kong et al. 2014 [43]

Clinical trial

59

France

45 overweight and obese subjects

(6 M, 39 F);

(mean BMI: 33.2±0.55)

14 healthy females as reference group

Mean BMI: 22.62

Three clusters with 7-day dietary records; Cluster 1 with the least healthy

eating behavior (n=14), Cluster 3 the healthiest eating behavior (n=13), and Cluster 2 was in-between clusters 1 and 3 in terms of healthfulness (n=18)

qPCR, Metagenomic sequencing

no significant difference across the clusters (p>0.05)

↓ hsCRP and IP10

↑ HAM56+cells

the healthiest dietary cluster had the highest microbial gene richness

↓ confectionary and sugary drinks,

↑ Fruits, yogurts and soups

NA

NA

NA

2

Haro et al. 2015 [44]

Prospective randomized controlled trial

20

Spain

20 male patients with obesity

Mean age: 63.3 y

Mean BMI: 32.2

Two randomized groups first receiving Med diet (35% fat, 22% monounsaturated) and second receiving

LFHCC diet (28% fat, 12% monounsaturated) for one year

16S rRNA sequencing

↓Prevotella (p=0.028)

↑Roseburia (p=0.002)

↑Oscillospira (p=0.016)

↑Parabacteroides

P. distasonis (p=0.025)

Protective effects on the development of type two diabetes

by increasing in the insulin sensitivity measured by OGTT

Alpha diversity via Chao1/ no significant correlation

Beta diversity via UniFrac/ no significant correlation

NA

NA

Changes in 7 out of 572 metabolites in feces and 3 out of 697 metabolites

in plasma were related to the changes in bacterial species

NA

3

Haro et al. 2016 [37]

Prospective controlled trial

239

Spain

239 patients with CHD with last coronary event over last six months in two groups;

138 metabolic syndrome patients,

101 healthy individuals

two healthy diets: a

MD and a LFHCC, for two years in the gut microbiota of MetS patients and those in the control group

16S rRNA sequencing

↑Parabacteroides

↑Bacteroides

↑Faecalibacterium

↑Bifidobacterium

P. distasonis

↑B. thetaiotaomicron

↑F. prausnitzii

↑B. adolescentis

↑B. longum

(p-values<0.05)

NA

NA

NA

NA

NA

14-item food questionnaire

4

Haro et al. 2017 [38]

Prospective randomized controlled trial

106

Spain

106 subjects with CHD with last coronary event over last six months in three groups;

33 obese men with severe metabolic disease;

32 obese men without metabolic diseases;

41 non-obese men

differences in bacterial community at baseline and after 2 years of dietary intervention following consumption of two healthy diets; MD and low-fat

16S rRNA sequencing

Bacteroides↑

Prevotella↑

Faecalibacterium↑

Roseburia↑

Ruminococcus↑

(p-values<0.05)

P. distasonis↑ (p=0.014)

F. prausnitzii↑ (p=0.043)

NA

Alpha diversity via Chao1 and Faith’s PD/ no significant correlation

Beta diversity via UniFrac/ no significant correlation

vegetables,

fruit,

cereals,

potatoes, legumes,

dairy products,

NA

NA

14-item questionnaire

5

Djuric et al. 2017 [41]

Randomized dietary intervention trial

93

USA

Healthy individuals at increased risk of colon cancer as defined;

Participants were randomized to MD / Healthy Eating diet;

Biopsy data was available from 88 participants at baseline and 82 participants after six months

16S rRNA sequencing

No significant changes in colonic mucosal bacterial community (p>0.05)

NA

Alpha diversity via Shannon and inverse Simpson/ no significant correlation

Beta diversity via community distance index / no significant distinction between control and case group. Only significant within healthy arm after 6 months dietary intervention

30% of calories from fat as polyunsaturated: saturated: monounsaturated fatty acids (PUFA: SFA: MUFA) ratio of 1:2:5.

NA

NA

NA

6

Luisi et al. 2019 [45]

Randomized controlled trial

18

Italy

Healthy controls

(6M, 12 F)

Mean BMI: 21.6,

Mean age: 41.4

Overweight individuals (11M, 7 F)

Mean BMI: 30.152

Mean age 52.1 y

18 overweight/obese subjects (BMI ≥25) and 18 normal weight controls (BMI 18.5–24.9) were fed with MD enriched for three months. Feces and blood samples were collected at baseline and after three months

qPCR for rRNA-polymerase β subunit

↑ Lactic Acid Bacteria (p<0.05)

↓ Inflammatory cytokines

↓ Oxidative stress

↓ Myeloperoxidase

↓ 8-hydroxy-2-deoxyguanosine

↑ IL-10

NA

NA

NA

NA

• Specific score from 0 to 18 for adherence

7

Pagliai et al. 2019 [46]

A crossover study

23

Italy

over- weight individuals (16 F, 7 M)

Mean age: 58.6 ± 9.8 y

healthy subjects were randomly assigned to isocaloric MD or VD diets lasting 3-months each and then crossed

16S rRNA sequencing

↑Lachnoclostridium (p=0.039)

↑Enterorhabdus (p=0.003)

↑Parabacteroides (p=0.037)

↑Clostridium sensu stricto (p=0.005)

↑Veillonella (p=0.029)

↓Anaerostipes (p=0.048)

↓ Inflammatory cytokines:

↓VEGF,

↓MCP-1,

↓IL-17,

↓IP-10

↓IL-12,

Alpha diversity via Simpson and Shannon/ no significant correlation

Beta diversity via UniFrac and Bray-Curtis/ no significant distinction

↑fruit,

↑vegetables, ↑cereals, ↑legumes,

↑olive oil

\(\to\) fish

\(\to\) poultry

\(\to\) dairy products

↓ red meat

↓ wine

GC-MS

↑ propionic acid (p=0.034);

But no effect on butyrate, acetate, isobutyrate, isovalerate or valerate

NA

8

Ghosh et al. 2020 [47]

Randomized, multicenter, single-blind,

612

UK, France, Netherlands, Italy, Poland

non-frail or pre-frail elder subjects

Gut microbiota before and after the administration of a 12 month long MedDiet intervention tailored to elderly subjects

16S rRNA sequencing

Faecalibacterium

Roseburia

Eubacterium

Bacteroides

Prevotella

Anaerostipes

Ruminococcus

Collinsella

Coprococcus

Dorea

Clostridium

Veillonella

Flavonifractor

Actinomyces

F. prausnitzii,

R. hominis

E. rectale

E. eligens

E. xylanophilum

B. thetaiotaomicron,

P.copri

A.hadrus

R. torques

C. aerofaciens

C. comes

D. formicigenerans

C. ramosum

V. dispar

F. plautii

A. lingnae

(p-values were not mentioned)

Lower frailty; Improved cognitive function; ↓Inflammatory markers;

↓CRP

↓IL-17

Alpha diversity via undetermined index/ no significant correlation

↑Fruits

↑Vegetables

↑Wholegrains

↑Legumes

↑Fish

↓Fats

↓Alcohol

↓Sugar

NA

↑ SCFA

↓ Secondary bile acids,

↓ p-cresols,

↓ ethanol

↓ carbon dioxide

(p-values not mentioned)

NA

9

Pisanu et al. 2020 [48]

Randomized controlled ntervention study

69

Italy

Case group: 23 obese/overweight patients with BMI > 25 and being “diet-free” as defined.

(20 F, 3 M)

Mean age: 53±9 years

Control group: 46 individuals normal weight being “diet-free” as defined.

(40 F, 6 M)

Mean age: 49±11 years

The Gut Microbiota of Obese and overweight patients was compared before (T0) and after 3 months (T3) of nutritional intervention by MD

16S rRNA sequencing

Bacteroidetes

↑ Proteobacteria

↓ Firmicutes

↑ Sphingobacteriaceae

↑ Sphingobacterium

↑ Bacteroides

↑ Prevotella stercorea

↑ Proteobacteria

↓ Lachnospiraceae

↓ Ruminococcaceae

↓ Ruminococcus

↓ Veillonellaceae

↓ Catenibacterium

↓Megamonas

↓Sutterella

(p-values<0.05)

Body weight ↓

Fat mass ↓

Alpha diversity via Shannon/ no significant correlation

Beta diversity via Bray-Curtis/ no significant distinction between control and case group after intervention. Only significant at baseline between case and control.

Vegetables

fruit

cereals

fish

pulses

NA

NA

• MDS (0 to 55)

10

Zhu et al. 2020 [49]

Pilot study

10

USA

Healthy subjects 18-25 years old,

Mean age: 22.1 y

Mean BMI: 24.39

Fast food diet for 4 days followed by Mediterranean diet for 4 days, with a 4-day washout in between

16S rRNA sequencing

↓ Collinsella (p=0.028)

↑ Butyricicoccus (p=0.019)

NA

Alpha diversity via undetermined assessor/ no significant correlation

Beta diversity via UniFrac/ no significant distinction

NA

LC-MS

↑Beneficial metabolites:

↑ indole-3-lactic acid (p=0.003)

↑indole-3-propionic acid (p<0.001)

NA

11

Galié et al. 2021 [34]

Randomized controlled intervention

50

Spain

Metabolic Syndrome patients without T2DM/ any other PMH/DH

Mean age: 51.37 y

(25-60)

Mean weight: 85.1

BMI: 25-35

adults with Metabolic Syndrome were randomized to a controlled, crossover 2-months dietary-intervention trial with a 1-month wash-out period, following a MedDiet or consuming nuts

16S rRNA sequencing

Lachnospiraceae↑ (p<0.05)

Ruminococcaceae↑ (p<0.05)

Glucose↓

Insulin↓

HOMA-IR↓

Alpha diversity via Phyloseq/ no significant correlation

Beta diversity via Bray-Curtis/ no significant distinction

↑Vegetables

↑fruit

↑cereals

↑fish

↑Olive oils

↓Red meat

↓Butter

↓ Sugary beverages

LC-MS

↑ homocitrulline

↑ byacetate,

↑ cadaverine

↑ malate (P values<0.05)

17 items MDS

12

Galié et al. 2021 [35]

Crossover randomized clinical trial

44

Spain

Metabolic Syndrome patients without T2DM/ any other PMH/DH

Age range: 37-65.

BMI: 25-35

crossover 2-months dietary-intervention trial with a 1-month wash-out period, consuming a

MD or a non-MD plus nuts. Nutritional data were collected at the beginning and the end of each intervention period using 3-day dietary records

16S rRNA sequencing

No significant changes in the characteristics and composition of gut microbiota (p>0.05).

Glucose↓

Insulin↓

HOMA-IR↓

NA

↑Vegetables

↑fruit

↑cereals

↑fish

↑Olive oils

↓Red meat

↓Butter

↓ Sugary beverages

GC-MS

LC-MS

↑ HpEPE,

↑ testosterone,

↑ PC

↑ TMA,

↑ succinic acid,

↑ ChoE

↑ taurolithocholic acid,

↑ amino acids

↑ LPC

↑ carnitine species

↑ TG

↑ LPE

(p-values<0.05)

NA

• 17-item MDS

13

Ismael et al. 2021 [39]

Single-arm pilot study

9

Portugal

9 patients with type 2 diabetes (3F and 6M) Age range: 47-77 years

Mean age: 66 ± 9 years

Mean BMI of 27.60 ± 4.03 Kg/m2

12-week single-arm pilot study, participants received individual nutritional

counseling sessions;

indices were assessed at baseline, 4 weeks, and 12 weeks after the intervention

16S rRNA sequencing

Prevotella to Bacteroides ratio↑ (p=0.438)

Firmicutes to Bacteroidetes ratio↑ (p=0.846)

Total Gut bacteria↑

↑ Glycemic control

↓ HbA1c

↓ HOMA-IR

Alpha diversity via Chao1 and Shannon/ no significant correlation

Beta diversity via Bray-Curtis/ no significant distinction

Vegetables

fruits;

grains

cereals;

fish

Legumes

NA

NA

• MEDAS score

14

Muralidharan 2021 [50]

Randomized controlled trial

400

Spain

Overweight/obese subjects Age range: 55–75 years

BMI: 27-40

200 in IG

200 in CG

IG: intensive weight loss lifestyle intervention based on an energy- restricted, MD and physical activity

CG: non-energy- restricted MD For one year

16S rRNA sequencing

Firmicutes (p=NA)

Lachnospiraceae↑ (p-value<0.001)

Butyricicoccus ↓

Haemophilus ↓

Ruminiclostridium ↓

Eubacterium hallii ↓

(p-values<0.05)

↓ BMI

↓ HbA1C

↓ FBS

↑ HDL

Alpha diversity via Chao1 and Shannon/ no significant correlation

Beta diversity via Bray-Curtis and UniFrac/ no significant distinction

NA

NA

NA

• 17-item MDS

15

Rejeski et al. 2021 [51]

pilot study of controlled diets

10

USA

Healthy individual without PMH/DH;

4F, 6M

Mean age:31.8 y

Mean BMI:22.9

Subjects gave a stool sample at baseline and then was provided with prepared meals of a “typical” American diet; after 2 weeks, a second stool sample was collected. All subjects were then provided with prepared meals based on the MD

for another 2 weeks, followed by a final stool sample collection.

16S rDNA sequencing

↑ Akkermansia,

↑ Lactococcus,

↑ Lachnospira

Ratio of Firmicutes/Bacteroidetes ↑

↓ Coprococcus

(p-values<0.05)

NA

Alpha diversity via Simpson/ significantly increased

Beta diversity via Bray-Curtis/ no further association.

Fruits

Vegetables

NA

NA

NA

16

Barber 2021 [52]

cross-over, randomised study

18

Spain

Healthy individual without Gastrointestinal PMH;

Age range: 18–38

BMI range: 19.2–25.5

Each diet (Western-type diet and fibre-enriched MD) was administered for 2 weeks preceded by a 2-week washout diet

DNA quantification

Anaerostipes hadrus

↑ Agathobaculum butyriciproducens

(p-values<0.05)

↑ Gas Evacuation number and volume

↑ Bowel Movement

Alpha diversity via Simpson, Shannon, Chao1, inverse Simpson/ no significant correlation

Beta diversity via Bray-Curtis/ significant association

↑fruits,

↑vegetables ↑legumes

LC-MS

↑ deoxycholate

Glucuronide

↑ 5-hydroxyindole

↑ L-aspartyl-L-phenylalanine

↑ TMAO

(p-values<0.05)

NA

17

Choo et al. 2023 [42]

cross-over, randomised study

34

Australia

age between 45 and 75 years; Adults with SBP \(\ge\) 120mmHg and risk factors for cardiovascular disease; not on hypertensive medication

Patients were randomly assigned to a MD or low-fat control diet for 8 weeks. patients underwent an 8-week washout period

16S rRNA sequencing

↑Butyricicoccus

↑Lachnospiraceae

↑Streptococcus

↓Colinsella

↓Veillonella

(p-values<0.05)

SBP

↑FBS

Alpha diversity via Faith/ no significant correlation

↑fruits,

↑vegetables ↑legumes

↑cereals

NA

NA

Beta diversity via Weighted Unifrac/ no significant association

10-point and 18-point MDS

18

Boughanema et al. 2023 [36]

Single arm trial

91

Spain

91 Patients with obesity and metabolic syndrome;

BMI≥ 27 and ≤40 kg/ m2

Patients were stratified as Low or optimal vitamin D groups on baseline. Both received a hypocaloric MD regimen for one year.

16S rRNA sequencing

↑Bacteroidetes

↑Firmicutes

↑Proteobacteria

(p=0.002 for all three phyla)

Wight

BMI (in optimal vitamin D group)

HbA1C (in optimal vitamin D group)

↑HDL (only in low vitamin D group)

Alpha diversity via Faith-PD and Chao1/ significant correlation

NA

NA

↑butanoate

(p=0.018)

Beta diversity via Weighted and Unweighted Unifrac/ significant distinction

NA

19

Gomez-Perez et al. 2023 [40]

Single arm trial

297

Spain

NAFLD or NASH cases;

Men aged 55-75 and women aged 60-75;

BMI≥ 27 and ≤40 kg/ m2; patients with a history of CVD or chronic condition were excluded.

participants were stratified into three groups according to alterations in the Hepatic Steatosis Index (HSI) or the Fibrosis−4 score (FIB−4) between baseline and after one year of intervention by MD

16S rRNA sequencing

↑Alcaligenaceae

↑Bifidobacteriaceae

↓Proteobacteria

↓Lentisphaerae

↓Enterobacteriaceae

↑Bifidobacterium

↑Faecalibacterium

↑Sutterella

↑Desulfovibro

↑Lachnospira

↑Oscillospira

↓Blautia

(p-values<0.05)

HbA1C

Alpha diversity via Faith-PD and Shannon/ No significant correlation

NA

NA

NA

Beta diversity via Weighted Unifrac/ significant distinction

NA

20

Shoer et al. 2023 [53]

Single blinded randomized control trial

200

Israel

Age range: 18-65

Exclusion criteria:

• Use of diabetes

medications,

• Use of antibiotics three months before enrollment

• Chronic diseases, or chronic use of medications that affect glucose/energy metabolism or HbA1c

200 participants were randomly assigned to a ratio of 1:1 to MD and PPT regimens for 6 months then followed for another 6 months; Participants met two of four glycemic criteria.

DNA quantification

↑Ruminococcaceae

↑Clostridiaceae

↓Eubacteriaceae

↑F. prausnitzii

↓Eubacterium ventriosum

(p-values<0.05)

↑ Glycemic control

↑ Lipid control

Alpha diversity via Shannon index/significant correlation after MD intervention

↑whole-wheat bread and grains

↑legumes

↑fruits ↑vegetables,

↑olive oil

↑fish

↑poultry

↑low-fat dairy products

LC-MS

27 metabolites significantly increased (p<0.05) and no metabolites significantly decreased:

• 10 uncharacterized biochemical

• 7 lipids

• 6 amino acids,

• xenobiotic (3-bromo-5-chloro-2,6-dihydroxybenzoic acid)

• peptide (HWESASXX),

• nucleotide (dihydroorotate)

• bilirubin

NA

NA

  1. SH Surgical History, LFHCC Low-fat, high-complex carbohydrates diet, MetS Metabolic Syndrome, CHD Coronary Heart Disease, FF Fast Food, PMH Past Medical History, DH Drug History, T2DM Type-2 Diabetic Mellitus, MetS Metabolic Syndrome, PC Phosphatidylcholines, TMA Trimethylamine, ChoE Cholesterol esters, LPC Lysophosphatidylcholines, LPE Lysophosphoethanolamine, HpEPE Hydroxyyperoxide-eicosapentanoic acid, TG Triglycerides, SCFA Short Chain Fatty Acids, IG Interventional Group, CG Control Group, MD Mediterranean Diet, TMAO Trimethylamine-N-oxide, SBP Systolic Blood Pressure, PPT Postprandial glucose-targeting diet, GC-MS Gas Chromatograohy- Mass Spectrometry, LC-MS Liquid Chromatography-Mass Spectrometry, MEDAS Mediterranean Diet Adherence Screener