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PRJEB46778 ERP131005

FMT trial in men with metabolic syndrome, Netherlands

Fecal Microbiota Transplantation for Metabolic Syndrome

130 fecal metagenome samples from a Dutch randomized controlled trial of allogenic versus autologous fecal microbiota transplantation in male patients with metabolic syndrome, with longitudinal sampling. machine-written summary

130 samples · 260 runs · NL · Adult · 2022 · 6.47 Gbp / sample · cohort Drivers and determinants of strain dynamics follow

One study deposited as 2 BioProjects (185 catalog samples together): PRJEB12357 · PRJEB46778 · show together

Sources
✓Sequence archive 659✓Abstract / description 32○Full text✓Supplementary tables 648–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive659 sample values (collection date, country, latitude, longitude, subject id, timepoint)
✓ Abstract / description32 sample values (health condition, health condition detail)
○ Full textread; no usable statement or table · PMC9499871
✓ Supplementary tables648 sample values (age, health condition, health condition detail, intervention, sex, timepoint)
– 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 resolved

RFaecal microbiota transplantation: 26 people · 88 samplesFMT 26 people · 88 samplesControl / pre-intervention baseline (sample level only): 26 people · 26 samplesno intervention 26 people · 26 samples
randomised to parallel arms

26 people have samples in more than one arm.

Faecal microbiota transplantation design randomized_controlled_trial · population cardiometabolic_other · Lean donor (allogenic) vs autologous FMT in metabolic syndrome patients

“lean donor (allogenic) versus own (autologous) fecal microbiota transplantation” — abstract:28978426 (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 sampling locations · 1 country
Age
adult126
elderly4
Condition
cardiometabolic_other130
Sex
male121
Country
NL130
Body site
primary130
Collected 2009–2015
2009: 55 samples2011: 2 samples2012: 22 samples2013: 33 samples2014: 16 samples2015: 2 samples20092015
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 %)this project, 1–3 Gbp: 6 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 121 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 3 samplesall 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 6.47 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinalFMT donor → recipient — not resolved

27 of 40 people sampled more than once (117 samples; median 4, up to 5 per person) · follow-up median 4 mo (max 5 mo) · median interval between samples 28 d (time from collection dates). Schedule stated by the source: “Stool at days 0, 2, 14, 21, 42, 84 and 126 after FMT” (time origin: transplant); stated follow-up 4 mo.

FATLOSE002FATLOSE002: day 0FATLOSE002: day 23FATLOSE002: day 84FATLOSE002: day 133FATLOSE005FATLOSE005: day 0FATLOSE005: day 22FATLOSE005: day 86FATLOSE005: day 122FATLOSE010FATLOSE010: day 0FATLOSE010: day 26FATLOSE010: day 91FATLOSE010: day 126FATLOSE020FATLOSE020: day 0FATLOSE020: day 23FATLOSE020: day 94FATLOSE020: day 136FATLOSE022FATLOSE022: day 0FATLOSE022: day 23FATLOSE022: day 107FATLOSE022: day 124FATLOSE025FATLOSE025: day 0FATLOSE025: day 25FATLOSE025: day 89FATLOSE025: day 127FATLOSE026FATLOSE026: day 0FATLOSE026: day 23FATLOSE026: day 88FATLOSE026: day 127FATLOSE027FATLOSE027: day 0FATLOSE027: day 24FATLOSE027: day 86FATLOSE027: day 127FATLOSE034FATLOSE034: day 0FATLOSE034: day 26FATLOSE034: day 82FATLOSE034: day 126FATLOSE037FATLOSE037: day 0FATLOSE037: day 18FATLOSE037: day 87FATLOSE037: day 126FATLOSE040FATLOSE040: day 0FATLOSE040: day 23FATLOSE040: day 86FATLOSE040: day 126FATLOSE048FATLOSE048: day 0FATLOSE048: day 21FATLOSE048: day 85FATLOSE048: day 126FATLOSE049FATLOSE049: day 0FATLOSE049: day 21FATLOSE049: day 86FATLOSE049: day 121FATLOSE054FATLOSE054: day 0FATLOSE054: day 21FATLOSE054: day 85FATLOSE054: day 124FATLOSE066FATLOSE066: day 0FATLOSE066: day 29FATLOSE066: day 113FATLOSE066: day 140FATLOSE069FATLOSE069: day 0FATLOSE069: day 21FATLOSE069: day 84FATLOSE069: day 126FAT_006FAT_006: day 0FAT_006: day 2FAT_006: day 14FAT_006: day 42FAT_006: day 84FAT_008FAT_008: day 0FAT_008: day 2FAT_008: day 14FAT_008: day 42FAT_008: day 84FAT_010FAT_010: day 0FAT_010: day 2FAT_010: day 14FAT_010: day 42FAT_010: day 84FAT_012FAT_012: day 0FAT_012: day 2FAT_012: day 14FAT_012: day 42FAT_012: day 84FAT_014FAT_014: day 0FAT_014: day 2FAT_014: day 14FAT_014: day 42FAT_014: day 84FAT_015FAT_015: day 0FAT_015: day 2FAT_015: day 14FAT_015: day 42FAT_015: day 84FAT_017FAT_017: day 0FAT_017: day 2FAT_017: day 14FAT_017: day 42FAT_017: day 84FAT_020FAT_020: day 0FAT_020: day 2FAT_020: day 14FAT_020: day 42FAT_020: day 84FAT_023FAT_023: day 0FAT_023: day 2FAT_023: day 14FAT_023: day 42FAT_023: day 84FAT_024FAT_024: day 0FAT_024: day 2FAT_024: day 14FAT_024: day 42FAT_024: day 840 d35 d2 mo3 mo5 mo

Each row is one person (26 shown of 27); dots are samples at days since that person's first sample.

FMT RCT in metabolic syndrome; 14 donor stool samples (FAT_DON / FATLOSE_DON) and 26 recipients sampled over time; donor→recipient links not committed.

How longitudinal and relatedness information is derived

Community composition
Roseburia 8.3%Faecalibacterium 8.3%Prevotella 6.1%Blautia_A 5.5%Ruminococcoides 3.9%Gemmiger 3.8%Collinsella 3.4%Bifidobacterium 2.8%Fimenecus 2.3%Bacteroides 1.8%Fusicatenibacter 1.8%Mediterraneibacter 1.6%not assigned to a genus 10.5%other genera 39.8%

Genera, mean relative abundance over 130 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category130 100%
country130 100%130
health_condition130 100%11416
subject_id130 100%130
collection_date130 100%130
health_condition_detail130 100%11416
latitude130 100%130
longitude130 100%130
timepoint_label130 100%9121
sex121 93%121
intervention114 88%114
age_at_collection_days64 49%64
Papers (3)
  • Durable coexistence of donor and recipient strains after fecal microbiota transplantation. 2016 PMID 27126044 own_data
  • Improvement of Insulin Sensitivity after Lean Donor Feces in Metabolic Syndrome Is Driven by Baseline Intestinal Microbiota Composition. 2017 PMID 28978426 own_data
  • Drivers and determinants of strain dynamics following fecal microbiota transplantation. 2022 PMID 36109636 PMC9499871 unsure
Details
Archive description

Longitudinal metagenomic sequencing data for a Randomized-Controlled Trial of Fecal Microbiota Transplantation in patients with metabolic syndrome. Extension to a previous dataset (PRJEB12357), described by Li et al, 2016 (PMID:27126044) and Koote et al, 2017 (PMID:28978426).

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of adult by deterministic_prior with confidence 0.90. Assay shotgun_dna.

  • host external_curation.infant_catalog · “infant triage reason_code age_adult_only”
  • body site study.title · “Fecal Microbiota Transplantation for”
  • body site study.description · “Randomized-Controlled Trial of Fecal Microbiota Transplantation in”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA9457639age_at_collection_days22207.0R20.75paper.supp.41591_2022_1913_MOESM3_ESM.xlsx[S3_metadata!age_years]subject_id=FATLOSE002; age_years=60.8
SAMEA115160322collection_date2009-03-11R10.90biosample.attribute:collection_date2009-03-11
SAMEA115160322countryNLR10.90sample.attr.geographic_location_country_and_or_seaNetherlands
SAMEA115160322health_conditioncardiometabolic_otherR20.75paper.supp.41591_2022_1913_MOESM3_ESM.xlsx[S2_FMT!indication]subject.recipient=FAT_008; indication=metabolic_syndrome
SAMEA115160372health_conditioncardiometabolic_otherR40.50study.descriptionpatients with metabolic syndrome
SAMEA115160322health_condition_detailmetabolic_syndromeR20.75paper.supp.41591_2022_1913_MOESM3_ESM.xlsx[S2_FMT!indication]subject.recipient=FAT_008; indication=metabolic_syndrome
SAMEA115160372health_condition_detailMetabolic syndrome patients in FMT trialR40.50study.descriptionpatients with metabolic syndrome
SAMEA115160322interventionno_interventionR20.75paper.supp.41591_2022_1913_MOESM3_ESM.xlsx[S3_metadata!subject_type]subject_id=FAT_008; subject_type=recipient
SAMEA115160322latitude52.0000R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude52.0 5.0
SAMEA115160322longitude5.0000R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude52.0 5.0
SAMEA115160322sexmaleR20.75paper.supp.41591_2022_1913_MOESM3_ESM.xlsx[S3_metadata!sex]subject_id=FAT_008; sex=male
SAMEA115160322subject_idFAT_008R10.70sample.name_rule:sample_titleFAT_008-22-0-0
SAMEA115160372timepoint_label0R10.70sample.name_rule:sample_titleFAT_DON_11-22-0-4
SAMEA115160322timepoint_label0R20.75paper.supp.41591_2022_1913_MOESM3_ESM.xlsx[S3_metadata!timepoint]subject_id=FAT_008; timepoint=0
Sequencing

260 runs over 130 samples · mean 3.15 Gbp per run (median 2.87 Gbp, total 818.55 Gbp; 260 runs with a base count) · layout PAIRED 130, SINGLE 130 · platform ILLUMINA 260 · models Illumina HiSeq 4000 (150), Illumina HiSeq 2000 (110) · 90% of runs with a Sandpiper profile · first public 2022-04-28 – 2024-01-29

Authors (55)

Li SS first · Zhu A · Benes V · Costea PI · Hercog R · Hildebrand F · Huerta-Cepas J · Nieuwdorp M · Salojärvi J · Voigt AY · Zeller G · Sunagawa S · de Vos WM · Bork P last · Kootte RS first · Levin E · Smits LP · Hartstra AV · Udayappan SD · Hermes G · Bouter KE · Koopen AM · Holst JJ · Knop FK · Blaak EE · Zhao J · Smidt H · Harms AC · Hankemeijer T · Bergman JJGHM · Romijn HA · Schaap FG · Olde Damink SWM · Ackermans MT · Dallinga-Thie GM · Zoetendal E · Serlie MJ · Stroes ESG · Groen AK · Schmidt TSB first · Maistrenko OM · Akanni W · Coelho LP · Dolai S · Fullam A · Glazek AM · Herrema H · Jung F · Kandels S · Orakov A · Thielemann R · von Stetten M · Van Rossum T · Borody TJ · Ponsioen CY

Downloads

PRJEB46778.csv.gz (5.0 KB) · parquet (77.0 KB) — all 130 samples, every field with route and confidence · PRJEB46778_determinations.csv.gz (11.3 KB) — 1,339 evidence rows

Samples (130 · every field this project has values for · hover a cell for its source)
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