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PRJEB55607 ERP140519

Dietary bioactive crossover intervention in UK adults

The effect of dietary bioactive on gut microbiome diversity (DIME) – a pilot study

100 gut microbiome samples from healthy adults in the United Kingdom, studied in a randomised 2x2 cross-over intervention comparing diets high versus low in bioactive-rich foods, with a four-week washout between periods. machine-written summary

100 samples · 100 runs · GB · Adult · 2023 · 12.16 Gbp / sample

Sources
✓Sequence archive 1,420–Abstract / description–Full text–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 archive1,420 sample values (age, collection date, country, diet, diet detail, health condition, health condition detail, intervention)
– Abstract / descriptionno abstract or project description
– Full textno open-access full text linked
– Supplementary tablesno supplementary tables available (or none open access)
– 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

no interventionwashoutdiet19 peopledietwashoutno intervention1 people
crossover: arm sequences observed per person

Controlled / prescribed diet or feeding regimen design crossover · population healthy_control · 2x2 crossover: high vs low bioactive-rich diet for two weeks each, 4-week washout

“randomised 2x2 cross-over human intervention where healthy participants” — bioproject.description (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 sampling locations · 1 country
Age
adult100
Condition
healthy_control100
Sex
female60
male40
Country
GB100
Body site
primary100
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: 22 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 78 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 12.16 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

20 of 21 people sampled more than once (99 samples; median 5, up to 5 per person) · follow-up median 2 mo (max 3 mo) · median interval between samples 15 d (time from collection dates). Schedule stated by the source: “2x2 crossover with two 2-week diet interventions (high bioactive, low bioactive) and 4-week washout between interventions” (time origin: intervention start).

DIME01DIME01: day 0DIME01: day 15DIME01: day 34DIME01: day 49DIME02DIME02: day 0DIME02: day 15DIME02: day 30DIME02: day 49DIME02: day 64DIME04DIME04: day 0DIME04: day 21DIME04: day 45DIME04: day 57DIME04: day 76DIME05DIME05: day 0DIME05: day 15DIME05: day 36DIME05: day 49DIME05: day 64DIME06DIME06: day 0DIME06: day 15DIME06: day 36DIME06: day 49DIME06: day 64DIME07DIME07: day 0DIME07: day 15DIME07: day 30DIME07: day 71DIME07: day 86DIME09DIME09: day 0DIME09: day 15DIME09: day 30DIME09: day 82DIME09: day 98DIME13DIME13: day 0DIME13: day 15DIME13: day 39DIME13: day 44DIME13: day 59DIME14DIME14: day 0DIME14: day 15DIME14: day 30DIME14: day 50DIME14: day 65DIME15DIME15: day 0DIME15: day 15DIME15: day 30DIME15: day 56DIME15: day 71DIME16DIME16: day 0DIME16: day 15DIME16: day 39DIME16: day 44DIME16: day 59DIME18DIME18: day 0DIME18: day 15DIME18: day 37DIME18: day 50DIME18: day 65DIME19DIME19: day 0DIME19: day 15DIME19: day 45DIME19: day 57DIME19: day 72DIME20DIME20: day 0DIME20: day 15DIME20: day 33DIME20: day 49DIME20: day 64DIME21DIME21: day 0DIME21: day 15DIME21: day 30DIME21: day 49DIME21: day 64DIME22DIME22: day 0DIME22: day 15DIME22: day 38DIME22: day 58DIME22: day 73DIME23DIME23: day 0DIME23: day 15DIME23: day 38DIME23: day 58DIME23: day 73DIME24DIME24: day 0DIME24: day 15DIME24: day 36DIME24: day 71DIME24: day 86DIME25DIME25: day 0DIME25: day 15DIME25: day 36DIME25: day 71DIME25: day 86DIME27DIME27: day 0DIME27: day 15DIME27: day 28DIME27: day 56DIME27: day 710 d24 d49 d2 mo3 mo

Each row is one person (20 shown); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Bacteroides 11.4%Phocaeicola 10.5%Roseburia 5.3%Prevotella 4.5%Alistipes 3.9%Faecalibacterium 3.7%Vescimonas 2.3%Blautia_A 2.3%Lachnospira 2.3%Ruminococcoides 2.2%Acetatifactor 2.0%Gemmiger 1.6%not assigned to a genus 4.6%other genera 43.5%

Genera, mean relative abundance over 94 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category100 100%
country100 100%100
health_condition100 100%100
subject_id100 100%100
age_at_collection_days100 100%100
collection_date100 100%100
detailed_location100 100%
health_condition_detail100 100%100
latitude100 100%100
location_region100 100%100
longitude100 100%100
sex100 100%100
timepoint_label100 100%100
diet80 80%80
diet_detail80 80%80
intervention80 80%80
intervention_detail80 80%80
Papers (1)
  • Dietary bioactives increase gut microbiome diversity and alter host and microbial metabolite profiles 2025 own_data
Details
Archive description

The DIME study consists of a randomised 2x2 cross-over human intervention where healthy participants (n = 20) are subjected to a diet high in bioactive-rich food for two weeks and a diet low in bioactive-rich food. There is a four-week washout between the two interventions.

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 · “dietary bioactive on gut microbiome diversity (DIME)”
  • body site external_curation.infant_catalog · “body_site_call stool”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA110758230age_at_collection_days16791.5R10.85sample.attr.host_age46
SAMEA110758230collection_date2021-04-21R10.90biosample.attribute:collection_date2021-04-21
SAMEA110758230countryGBR10.90sample.attr.geographic_location_country_and_or_seaUnited Kingdom
SAMEA110758231diettherapeutic_or_study_dietR10.90biosample.attribute:host_dietBefore Low Bioactive Diet
SAMEA110758231diet_detailBefore Low Bioactive DietR10.90biosample.attribute:host_dietBefore Low Bioactive Diet
SAMEA110758230health_conditionhealthy_controlR10.70biosample.name_rule:TITLESample_408170-DIME01-MP
SAMEA110758230health_condition_detailhealthy participants (project description)R10.70biosample.name_rule:TITLESample_408170-DIME01-MP
SAMEA110758231interventionno_interventionR10.90biosample.attribute:host diethost diet: Before Low Bioactive Diet
SAMEA110758231intervention_detailbaseline before low-bioactive-food diet periodR10.90biosample.attribute:host diethost diet: Before Low Bioactive Diet
SAMEA110758230latitude52.6211R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude52.62109 1.21814
SAMEA110758230location_regionEnglandR10.60biosample.attribute:geographic_location_latitude+geographic_location_longitude52.62109 1.21814
SAMEA110758230longitude1.2181R10.90biosample.attribute:geographic_location_latitude+geographic_location_longitude52.62109 1.21814
SAMEA110758230sexfemaleR10.90sample.attr.host_sexfemale
SAMEA110758230subject_idDIME01R10.85sample.attr.host_subject_idDIME01
SAMEA110758230timepoint_labelMidpointR10.85biosample.attribute:host dietMidpoint
Sequencing

100 runs over 100 samples · mean 11.97 Gbp per run (median 12.16 Gbp, total 1,196.52 Gbp; 100 runs with a base count) · layout PAIRED 100 · platform ILLUMINA 100 · models Illumina NovaSeq 6000 (100) · 94% of runs with a Sandpiper profile · first public 2023-03-22

Authors (13)

Duncan A first · Bernuzzi F · Ahn-Jarvis J · Zhang L · Segovia-Lizano D · Petrou M · Bedarf JR · Ng D · Savva GM · Stanstrup J · Dragsted LO · Hildebrand F · Traka MH last

Downloads

PRJEB55607.csv.gz (4.4 KB) · parquet (76.8 KB) — all 100 samples, every field with route and confidence · PRJEB55607_determinations.csv.gz (11.4 KB) — 1,420 evidence rows

Samples (100 · every field this project has values for · hover a cell for its source)
Loading the sample table…