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PRJNA395744 SRP113554

Whole-grain diet crossover study, healthy adults, Copenhagen

Whole-Grain rich diet cross-over study

185 gut metagenome samples from a whole-grain diet intervention study in Copenhagen, Denmark, mostly healthy controls, using a crossover design to assess effects on the gut microbiome and insulin sensitivity. machine-written summary

185 samples · 185 runs · DK · Age unknown · 2017 · 7.25 Gbp / sample · cohort Data integration for prediction of weight loss in

Sources
✓Sequence archive 925○Abstract / description○Full text○Supplementary tables✓External resources 340–User contribution–Human verified

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

what each source gave
✓ Sequence archive925 sample values (collection date, country, location locality, subject id, timepoint)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC10408196, PMC13039869, PMC7674420
○ Supplementary tablesfiles read; no table could be matched to the samples
✓ External resources340 sample values (health condition, health condition detail) · from GMrepo v3
– 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 design crossover · population cardiometabolic_other · Whole-grain rich diet cross-over feeding study

“Whole-Grain rich diet cross-over study” — study.title (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 country
Age
unknown185
Condition
healthy_control170
Country
DK185
Body site
primary185
Collected 2012–2013
2012: 32 samples2013: 153 samples20122013
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: 160 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 25 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 7.25 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

48 of 51 people sampled more than once (182 samples; median 4, up to 4 per person) · follow-up median 5 mo (max 9 mo) · median interval between samples 2 mo (time from collection months (month precision)).

53335333: day 05333: day 615333: day 1515333: day 21253355335: day 05335: day 615335: day 1515335: day 21253375337: day 05337: day 615337: day 925337: day 15153385338: day 05338: day 615338: day 925338: day 15153395339: day 05339: day 615339: day 1235339: day 18253415341: day 05341: day 615341: day 925341: day 18253425342: day 05342: day 615342: day 925342: day 15153435343: day 05343: day 925343: day 1515343: day 21253445344: day 05344: day 925344: day 1235344: day 18253555355: day 05355: day 595355: day 2125355: day 24353565356: day 05356: day 595356: day 1205356: day 18153595359: day 05359: day 315359: day 905359: day 15153605360: day 05360: day 615360: day 1205360: day 15153615361: day 05361: day 615361: day 925361: day 15153625362: day 05362: day 615362: day 925362: day 15153675367: day 05367: day 595367: day 905367: day 15153685368: day 05368: day 625368: day 1215368: day 18253695369: day 05369: day 315369: day 905369: day 15153705370: day 05370: day 595370: day 905370: day 15153715371: day 05371: day 595371: day 905371: day 15153725372: day 05372: day 625372: day 1215372: day 18253735373: day 05373: day 615373: day 1205373: day 18153755375: day 05375: day 625375: day 905375: day 15153825382: day 05382: day 595382: day 2125382: day 24353855385: day 05385: day 315385: day 1515385: day 21253865386: day 05386: day 595386: day 2125386: day 27353905390: day 05390: day 595390: day 905390: day 15153915391: day 05391: day 595391: day 905391: day 15153925392: day 05392: day 595392: day 905392: day 15153935393: day 05393: day 595393: day 1205393: day 18153945394: day 05394: day 05394: day 595394: day 15153955395: day 05395: day 595395: day 1205395: day 18153965396: day 05396: day 595396: day 1815396: day 24253975397: day 05397: day 905397: day 1205397: day 18153985398: day 05398: day 615398: day 1225398: day 18354005400: day 05400: day 615400: day 925400: day 1530 d2 mo4 mo7 mo9 mo

Each row is one person (36 shown of 48); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Roseburia 7.8%Prevotella 6.2%Faecalibacterium 5.6%Bacteroides 5.2%Blautia_A 2.8%Phocaeicola 2.8%Alistipes 2.6%Lachnospira 2.3%Bifidobacterium 2.3%Gemmiger 2.2%Vescimonas 2.2%Ruminococcoides 2.1%not assigned to a genus 4.9%other genera 50.9%

Genera, mean relative abundance over 162 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country185 100%185
health_condition170 92%170
subject_id185 100%185
collection_date185 100%185
detailed_location185 100%
location_locality185 100%185
timepoint_label185 100%185
health_condition_detail170 92%170
Papers (3)
  • Data integration for prediction of weight loss in randomized controlled dietary trials. 2020 PMID 33208769 PMC7674420 unsure
  • Identification of robust and generalizable biomarkers for microbiome-based stratification in lifestyle interventions. 2023 PMID 37553697 PMC10408196 unsure
  • pH regulates gut bacterial tryptophan metabolism. 2026 PMID 41730870 PMC13039869 unsure
Details
Archive description

To investigate whether a wholegrain diet alters the gut microbiome and insulin sensitivity, as well as biomarkers of metabolic health and gut functionality.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.65. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site run.scientific_name · “human gut metagenome”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN07414234collection_date2012-10R10.90biosample.attribute:collection_date2012-10
SAMN07414234countryDKR10.90sample.attr.geo_loc_nameDenmark: Copenhagen
SAMN07414234health_conditionhealthy_controlR20.75external.gmrepo sourcephenotype: Health
SAMN07414234health_condition_detailHealthR20.75external.gmrepo sourcephenotype: Health
SAMN07414234location_localityCopenhagenR10.85biosample.attribute:geo_loc_nameDenmark: Copenhagen
SAMN07414234subject_id5333R10.85sample.attr.individual5333
SAMN07414234timepoint_label1R10.70sample.name_rule:alias5333_1
Sequencing

185 runs over 185 samples · mean 7.86 Gbp per run (median 7.25 Gbp, total 1,454.99 Gbp; 185 runs with a base count) · layout PAIRED 185 · platform ILLUMINA 185 · models Illumina HiSeq 2000 (185) · 88% of runs with a Sandpiper profile · first public 2017-07-27

Authors (42)

Nielsen RL first · Helenius M · Garcia SL · Roager HM · Aytan-Aktug D · Hansen LBS · Lind MV · Vogt JK · Dalgaard MD · Bahl MI · Jensen CB · Muktupavela R · Warinner C · Aaskov V · Gøbel R · Kristensen M · Frøkiær H · Sparholt MH · Christensen AF · Vestergaard H · Hansen T · Kristiansen K · Brix S · Petersen TN · Lauritzen L · Licht TR · Pedersen O · Gupta R last · Chen J first · Siliceo SL · Ni Y · Nielsen HB · Xu A · Panagiotou G last · Brinck JE first · Laursen MF · Pedersen M · Carey MR · Procházková N · Jørgensen MS · Mortensen MS · Sinha AK last

Downloads

PRJNA395744.csv.gz (5.5 KB) · parquet (76.8 KB) — all 185 samples, every field with route and confidence · PRJNA395744_determinations.csv.gz (9.4 KB) — 1,265 evidence rows

Samples (185 · every field this project has values for · hover a cell for its source)
Loading the sample table…