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PRJNA776530 SRP343878

7-day homogeneous diet and gut microbiome, USA

Impact of a 7-day homogeneous diet on interpersonal variation in human gut microbiomes and metabolomes

105 samples from healthy adults in California, USA, studying a 7-day homogeneous average American diet intervention to assess interindividual variation in gut microbiome-dependent metabolites; intervention design. machine-written summary

105 samples · 105 runs · US · Adult · 2022 · 2.18 Gbp / sample

Sources
✓Sequence archive 735○Abstract / description✓Full text 210○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 archive735 sample values (collection date, country, latitude, location region, longitude, subject id, timepoint)
○ Abstract / descriptionread; no usable statement
✓ Full text210 sample values (health condition, health condition detail) · PMC9296065
○ 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 design single_arm_before_after · population healthy_control · 7-day homogeneous average American diet in healthy individuals

“7-day homogeneous average American diet to standardize” — abstract:35643079 (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 sampling locations · 1 country
Age
adult105
Condition
healthy_control105
Country
US105
Body site
primary105
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: 94 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 10 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 1 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 2.18 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

21 of 21 people sampled more than once (105 samples; median 5, up to 5 per person). Schedule stated by the source: “105 samples from 21 subjects across 5 distinct timepoints during/around a 7-day homogeneous diet intervention” (time origin: intervention/treatment start); stated follow-up 7 d.

How longitudinal and relatedness information is derived

Community composition
Bacteroides 15.9%Phocaeicola 12.4%Prevotella 8.6%Alistipes 7.3%Faecalibacterium 3.6%Akkermansia 3.3%Roseburia 3.1%Parabacteroides 2.1%Blautia_A 1.9%Acetatifactor 1.4%Vescimonas 1.3%Ruminococcoides 1.3%not assigned to a genus 7.1%other genera 31.0%

Genera, mean relative abundance over 103 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category105 100%
country105 100%105
health_condition105 100%105
subject_id105 100%105
collection_date105 100%105
detailed_location105 100%
health_condition_detail105 100%105
latitude105 100%105
location_region105 100%105
longitude105 100%105
timepoint_label105 100%105
Papers (1)
  • Impact of a 7-day homogeneous diet on interpersonal variation in human gut microbiomes and metabolomes. 2022 PMID 35643079 PMC9296065 own_data
Details
Archive description

Metabolism of dietary compounds by the gut microbiota generates a vast array of microbiome-dependent metabolites (MDMs), which are highly variable between individuals. The uremic MDMs (uMDMs) phenylacetylglutamine (PAG), p-cresol sulfate (PCS) and indoxyl sulfate (IS) accumulate during renal failure and are associated with poor outcomes. Targeted dietary interventions may reduce toxic MDMs generation however, it is unclear if interindividual differences in diet or gut microbiome dominantly contribute to MDM variance. Here we use a 7-day homogeneous average American diet to standardize dietary precursor availability in 21 healthy individuals. Notably, the coefficient of variation in three uMDMs of interest, PAG, PCS, and IS (primary outcome), did not significantly decrease. The majority of circulating MDMs maintained variation despite identical diets. These results highlight the highly personalized profile of MDMs and limited contribution of short-term dietary heterogeneity, suggesting that dietary modification may need to be paired with microbial therapies to control MDM profiles.

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 · “variation in human gut microbiomes and metabolomes”
  • body site study.description · “compounds by the gut microbiota generates a”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN22794508collection_date2018R10.90biosample.attribute:collection_date2018
SAMN22794508countryUSR10.90sample.attr.geo_loc_nameUSA: California
SAMN22794508health_conditionhealthy_controlR30.60paper.fulltext.resultsWe enrolled healthy volunteers with diverse habitual diets
SAMN22794508health_condition_detailhealthy volunteers with diverse habitual dietsR30.60paper.fulltext.resultsWe enrolled healthy volunteers with diverse habitual diets
SAMN22794508latitude37.4275R10.90biosample.attribute:lat_lon37.4275 N 122.1697 W
SAMN22794508location_regionCaliforniaR10.85biosample.attribute:geo_loc_nameUSA: California
SAMN22794508longitude-122.1697R10.90biosample.attribute:lat_lon37.4275 N 122.1697 W
SAMN22794508subject_id02R10.70sample.name_rule:sample_aliasMISO1-S02-1_S2_R1
SAMN22794508timepoint_label1R10.70sample.name_rule:sample_aliasMISO1-S02-1_S2_R1
Sequencing

105 runs over 105 samples · mean 2.35 Gbp per run (median 2.18 Gbp, total 247.22 Gbp; 105 runs with a base count) · layout PAIRED 105 · platform ILLUMINA 105 · models Illumina NovaSeq 6000 (105) · 98% of runs with a Sandpiper profile · first public 2022-08-11 – 2022-09-25

Authors (10)

Guthrie L first · Spencer SP · Perelman D · Van Treuren W · Han S · Yu FB · Sonnenburg ED · Fischbach MA · Meyer TW · Sonnenburg JL last

Downloads

PRJNA776530.csv.gz (3.5 KB) · parquet (74.0 KB) — all 105 samples, every field with route and confidence · PRJNA776530_determinations.csv.gz (7.1 KB) — 945 evidence rows

Samples (105 · every field this project has values for · hover a cell for its source)
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