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PRJNA995034 SRP449651

Diet soda intervention gut microbiome, Washington DC

Diet Soda Human gut microbiome

82 gut microbiome samples from Washington, DC, USA, studying a diet soda (sucralose and acesulfame-potassium) intervention and its association with microbial taxa linked to inflammation and metabolic disease. machine-written summary

82 samples · 82 runs · US · Age unknown · 2023 · 0.25 Gbp / sample

Sources
✓Sequence archive 573–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 archive573 sample values (collection date, country, latitude, location region, longitude, subject id, timepoint)
– 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 · share metadata
– 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 · Diet soda (sucralose/acesulfame-K) consumption, before/after gut microbiome comparison

“Consumption of sucralose and acesulfame-potassium containing diet soda” — bioproject.description (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 sampling locations · 1 country
Age
unknown82
Country
US82
Body site
primary82
Collected 2015–2022
2015: 56 samples2017: 24 samples2019: 1 samples2022: 1 samples20152022
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 3 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)this project, 0.03–0.1 Gbp: 14 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 30 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 11 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 1 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 23 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 0.25 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

28 of 28 people sampled more than once (82 samples; median 3, up to 3 per person) · follow-up median 14 d (max 7.0 y) · median interval between samples 7 d (time from collection dates).

LC11LC11: day 0LC11: day 19LC11: day 75LC12LC12: day 0LC12: day 4LC12: day 61LC13LC13: day 0LC13: day 4LC13: day 60LC3LC3: day 0LC3: day 16LC3: day 77LC4LC4: day 0LC4: day 5LC4: day 62LC7LC7: day 0LC7: day 42LC7: day 98LC8LC8: day 0LC8: day 27LC8: day 84LC9LC9: day 0LC9: day 3LC9: day 57NNS01NNS01: day 0NNS01: day 7NNS01: day 14NNS02NNS02: day 0NNS02: day 1NNS03NNS03: day 0NNS03: day 7NNS03: day 14NNS06NNS06: day 0NNS06: day 7NNS06: day 14NNS07NNS07: day 0NNS07: day 7NNS07: day 14NNS08NNS08: day 0NNS08: day 7NNS08: day 14NNS09NNS09: day 0NNS09: day 7NNS09: day 14NNS10NNS10: day 0NNS10: day 10NNS10: day 19NNS11NNS11: day 0NNS11: day 7NNS11: day 18NNS12NNS12: day 0NNS12: day 6NNS12: day 13NNS13NNS13: day 0NNS13: day 7NNS13: day 14NNS14NNS14: day 0NNS14: day 7NNS15NNS15: day 0NNS15: day 6NNS15: day 13NNS16NNS16: day 0NNS16: day 7NNS16: day 14NNS17NNS17: day 0NNS17: day 7NNS17: day 14NNS18NNS18: day 0NNS18: day 7NNS18: day 14NNS19NNS19: day 0NNS19: day 7NNS19: day 14NNS20NNS20: day 0NNS20: day 7NNS20: day 23NNS21NNS21: day 0NNS21: day 1475NNS21: day 2564NNS22NNS22: day 0NNS22: day 7NNS22: day 140 d21 mo3.5 y5.3 y7.0 y

Each row is one person (28 shown); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Bacteroides 20.0%Phocaeicola 12.2%Roseburia 6.1%Faecalibacterium 5.4%Prevotella 5.2%Alistipes 5.0%Blautia_A 3.2%Dialister 1.9%Lachnospira 1.5%Gemmiger 1.5%Ruminococcoides 1.3%Bifidobacterium 1.2%not assigned to a genus 17.2%other genera 18.4%

Genera, mean relative abundance over 60 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%
country82 100%82
health_condition0 0%
subject_id82 100%82
collection_date82 100%82
detailed_location82 100%
latitude82 100%82
location_region82 100%82
longitude82 100%82
timepoint_label81 99%81
Details
Archive description

Consumption of sucralose and acesulfame-potassium containing diet soda alters the relative abundance of microbial taxa implicated in inflammation and metabolic disease

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”
  • host run.scientific_name · “human gut metagenome”
  • body site study.title · “Diet Soda Human gut microbiome”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN36463836collection_date2015-04-21R10.90biosample.attribute:collection_date2015-04-21
SAMN36463836countryUSR10.90sample.attr.geo_loc_nameUSA: District of Columbia
SAMN36463836latitude38.9062R10.90biosample.attribute:lat_lon38.9062 N 77.0369 W
SAMN36463836location_regionDistrict of ColumbiaR10.85biosample.attribute:geo_loc_nameUSA: District of Columbia
SAMN36463836longitude-77.0369R10.90biosample.attribute:lat_lon38.9062 N 77.0369 W
SAMN36463836subject_idNNS01R10.85sample.attr.host_subject_idNNS01
SAMN36463836timepoint_label1R10.70sample.name_rule:aliasNNS-01-1
Sequencing

82 runs over 82 samples · mean 1.95 Gbp per run (median 0.25 Gbp, total 159.73 Gbp; 82 runs with a base count) · layout PAIRED 82 · platform ILLUMINA 82 · models NextSeq 500 (82) · 73% of runs with a Sandpiper profile · first public 2023-07-16

Authors (0)

No author record.

Help complete this project

2 of the 4 core fields are below 50% coverage: age_category, health_condition. Share metadata

Downloads

PRJNA995034.csv.gz (3.2 KB) · parquet (73.8 KB) — all 82 samples, every field with route and confidence · PRJNA995034_determinations.csv.gz (4.8 KB) — 573 evidence rows

Samples (82 · every field this project has values for · hover a cell for its source)
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