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PRJEB44237 ERP128268

FMT plus Mediterranean diet in metabolic syndrome, Netherlands

Effect of fecal microbiota transplantation combined with Mediterranean diet on insulin sensitivity in subjects with metabolic syndrome

124 gut microbiome samples from male subjects with metabolic syndrome in the Netherlands, in a randomized controlled trial comparing lean donor versus autologous fecal microbiota transplantation combined with a Mediterranean diet. machine-written summary

124 samples · 124 runs · NL · Adult · 2021 · 5.30 Gbp / sample

Sources
✓Sequence archive 846○Abstract / description✓Full text 620○Supplementary tables–External resources–User contribution–Human verified

Checked this project's papers and archive records yourself? Mark it human-verified.

what each source gave
✓ Sequence archive846 sample values (collection date, country, latitude, location region, longitude, subject id, timepoint)
○ Abstract / descriptionread; no usable statement
✓ Full text620 sample values (health condition, health condition detail, location locality, location site, sex) · PMC8222733
○ Supplementary tablesfiles read; no table could be matched to the samples
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Interventions

intervention — arms not resolved

Controlled / prescribed diet or feeding regimen Faecal microbiota transplantation design randomized_controlled_trial · population cardiometabolic_other · Mediterranean diet + lean donor vs autologous FMT, 6 weeks

“randomized to either lean donor (n=12) or autologous (n=12) FMT” — bioproject.description (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 sampling locations · 1 country
Age
adult124
Condition
obesity124
Sex
male124
Country
NL124
Body site
primary124
Collected 2016–2018
2016: 5 samples2017: 68 samples2018: 51 samples20162018
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)all projects, 0.03–0.1 Gbp: 17,066 samples (3 %)all projects, 0.1–0.3 Gbp: 29,179 samples (5 %)all projects, 0.3–1 Gbp: 47,044 samples (8 %)all projects, 1–3 Gbp: 124,983 samples (22 %)all projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 124 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)all projects, 30–100 Gbp: 3,024 samples (1 %)all projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 5.30 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

21 of 23 people sampled more than once (105 samples; median 5, up to 5 per person) · follow-up median 3 mo (max 3 mo) · median interval between samples 18 d (time from timepoint labels).

M08M08: day 0M08: day 14M08: day 21M08: day 42M08: day 84M11M11: day 0M11: day 14M11: day 21M11: day 42M11: day 84M16M16: day 0M16: day 14M16: day 21M16: day 42M16: day 84M18M18: day 0M18: day 14M18: day 21M18: day 42M18: day 84M19M19: day 0M19: day 14M19: day 21M19: day 42M19: day 84M22M22: day 0M22: day 14M22: day 21M22: day 42M22: day 84M24M24: day 0M24: day 14M24: day 21M24: day 42M24: day 84M26M26: day 0M26: day 14M26: day 21M26: day 42M26: day 84M30M30: day 0M30: day 14M30: day 21M30: day 42M30: day 84M31M31: day 0M31: day 14M31: day 21M31: day 42M31: day 84M33M33: day 0M33: day 14M33: day 21M33: day 42M33: day 84M34M34: day 0M34: day 14M34: day 21M34: day 42M34: day 84M39M39: day 0M39: day 14M39: day 21M39: day 42M39: day 84M42M42: day 0M42: day 14M42: day 21M42: day 42M42: day 84M46M46: day 0M46: day 14M46: day 21M46: day 42M46: day 84M48M48: day 0M48: day 14M48: day 21M48: day 42M48: day 84M49M49: day 0M49: day 14M49: day 21M49: day 42M49: day 84M52M52: day 0M52: day 14M52: day 21M52: day 42M52: day 84M54M54: day 0M54: day 14M54: day 21M54: day 42M54: day 84M56M56: day 0M56: day 14M56: day 21M56: day 42M56: day 84M57M57: day 0M57: day 14M57: day 21M57: day 42M57: day 840 d21 d42 d2 mo3 mo

Each row is one person (21 shown); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Prevotella 9.1%Faecalibacterium 8.2%Roseburia 6.7%Blautia_A 4.8%Gemmiger 2.9%Coprococcus 2.7%Ruminococcoides 2.4%CAG-103 2.4%Alistipes 2.2%Phocaeicola 2.2%Bacteroides 1.9%Bifidobacterium 1.8%not assigned to a genus 5.4%other genera 47.5%

Genera, mean relative abundance over 120 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category124 100%
country124 100%124
health_condition124 100%124
subject_id107 86%107
collection_date124 100%124
detailed_location124 100%
health_condition_detail124 100%124
latitude124 100%124
location_locality124 100%124
location_region124 100%124
location_site124 100%124
longitude124 100%124
sex124 100%124
timepoint_label119 96%119
Papers (1)
  • Effect of Fecal Microbiota Transplantation Combined With Mediterranean Diet on Insulin Sensitivity in Subjects With Metabolic Syndrome. 2021 PMID 34177842 PMC8222733 own_data
Details
Archive description

Background: Recent studies demonstrate that a Mediterranean diet has beneficial metabolic effects in metabolic syndrome subjects. Since we have shown that fecal microbiota transplantation (FMT) from lean donors exerts beneficial effects on insulin-sensitivity, in the present trial we investigated the potential synergistic effects on insulin-sensitivity of combining Mediterranean diet with donor FMT in subjects with metabolic syndrome.Design: Twenty-four male subjects with metabolic syndrome were put on a Mediterranean diet and after a two-week run-in phase, subjects were randomized to either lean donor (n=12) or autologous (n=12) FMT. Changes in gut microbiota composition and bacterial strain engraftment after 2-week dietary regimens and 6 weeks post-FMT were primary endpoints. Secondary objectives were changes in glucose fluxes (both hepatic and peripheral insulin sensitivity), postprandial plasma incretin (GLP-1) levels, subcutaneous adipose tissue inflammation and plasma metabolites.Results: Consumption of the Mediterranean diet resulted in a reduction in body weight, HOMA-IR and lipid levels. However, no large synergistic effects of combining the diet with lean donor FMT were seen on gut microbiota diversity after 6 weeks. Although we did observe changes in specific bacterial species and plasma metabolites, no significant beneficial effects on glucose fluxes, postprandial incretins or subcutaneous adipose tissue inflammation were detected.Conclusions: In this small pilot randomized controlled trial, no synergistic beneficial metabolic effects of combining Mediterranean diet with lean donor FMT on glucose metabolism were achieved. However, we observed engraftment of specific bacterial species. Future trials are warranted to test the combination of other microbial interventions and diets in metabolic syndrome.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult by sonnet_x2 with confidence 0.78. Assay shotgun_dna.

  • host run.scientific_name · “human gut metagenome”
  • body site run.scientific_name · “human gut metagenome”
  • life stage study.description · “Twenty-four male subjects with metabolic syndrome”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA8690926collection_date2017R10.90biosample.attribute:collection_date2017
SAMEA8690926countryNLR10.90sample.attr.geographic_location_country_and_or_seaNetherlands
SAMEA8690926health_conditionobesityR30.70paper.fulltext.methodsobese treatment-naive Caucasian male subjects
SAMEA8690926health_condition_detailobese treatment-naive Caucasian male subjectsR30.70paper.fulltext.methodsobese treatment-naive Caucasian male subjects
SAMEA8690926latitude52.2940R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude52.29398138409803 4.958415663249101
SAMEA8690926location_localityAmsterdamR30.70paper.fulltext.methodsAmsterdam University Medical Center (Amsterdam UMC) in Amsterdam
SAMEA8690926location_regionNorth HollandR10.60biosample.attribute:geographic_location_latitude+geographic_location_longitude52.29398138409803 4.958415663249101
SAMEA8690926location_siteAmsterdam UMCR30.70paper.fulltext.methodsconducted at the AMC in accordance with the Declaration of Helsinki
SAMEA8690926longitude4.9584R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude52.29398138409803 4.958415663249101
SAMEA8690926sexmaleR30.70paper.fulltext.methodsobese treatment-naive Caucasian male subjects
SAMEA8690927subject_idD03R10.70sample.name_rule:aliasD03
SAMEA8690931timepoint_labelweek 0 (FMT baseline)R10.70sample.name_rule:aliasM01_W0
Sequencing

124 runs over 124 samples · mean 5.19 Gbp per run (median 5.30 Gbp, total 643.83 Gbp; 124 runs with a base count) · layout PAIRED 124 · platform ILLUMINA 124 · models Illumina NovaSeq 6000 (124) · 97% of runs with a Sandpiper profile · first public 2021-06-11

Authors (18)

Koopen AM first · Almeida EL · Attaye I · Witjes JJ · Rampanelli E · Majait S · Kemper M · Levels JHM · Schimmel AWM · Herrema H · Scheithauer TPM · Frei W · Dragsted L · Hartmann B · Holst JJ · O'Toole PW · Groen AK · Nieuwdorp M last

Downloads

PRJEB44237.csv.gz (4.3 KB) · parquet (75.9 KB) — all 124 samples, every field with route and confidence · PRJEB44237_determinations.csv.gz (10.6 KB) — 1,466 evidence rows

Samples (124 · every field this project has values for · hover a cell for its source)
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