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PRJEB15179 ERP016884

Gut microbiota in T2D diet intervention, China

Using WTP diet to modulate gut microbiota to alleviate human type 2 diabetes

220 gut metagenome samples from adults in China, from a diet intervention study (WTP diet vs usual care) in type 2 diabetes patients, examining gut microbiota changes and clinical parameters. machine-written summary

220 samples · 220 runs · CN · Adult · 2018 · 15.01 Gbp / sample

One study deposited as 2 BioProjects (392 catalog samples together): PRJEB14155 · PRJEB15179 · show together

Sources
✓Sequence archive 1,540○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 archive1,540 sample values (collection date, country, health condition, health condition detail, intervention, subject id, timepoint)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC10408196, PMC10989819
– 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

RControlled / prescribed diet or feeding regimen: 74 people · 148 samplesdiet 74 people · 148 samplesControl / pre-intervention baseline (sample level only): 36 people · 72 samplesno intervention 36 people · 72 samples
randomised to parallel arms

Controlled / prescribed diet or feeding regimen design randomized_controlled_trial · population type2_diabetes · WTP diet vs usual care in T2D patients

“T2D patients were randomly divided into two groups receiving WTP diet or” — bioproject.description (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 country
Age
adult220
Condition
type2_diabetes220
Country
CN220
Body site
primary220
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: 2 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 218 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 15.01 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

110 of 110 people sampled more than once (220 samples; median 2, up to 2 per person).

How longitudinal and relatedness information is derived

Community composition
Phocaeicola 12.1%Prevotella 10.3%Bacteroides 8.8%Roseburia 5.3%Faecalibacterium 5.1%Alistipes 3.4%Blautia_A 3.0%Bifidobacterium 2.8%Lachnospira 2.5%Ruminococcoides 2.2%Parabacteroides 1.8%Collinsella 1.6%not assigned to a genus 2.8%other genera 38.4%

Genera, mean relative abundance over 194 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category220 100%
country220 100%220
health_condition220 100%220
subject_id220 100%220
collection_date220 100%220
health_condition_detail220 100%220
intervention220 100%220
timepoint_label220 100%220
Papers (2)
  • Identification of robust and generalizable biomarkers for microbiome-based stratification in lifestyle interventions. 2023 PMID 37553697 PMC10408196 unsure
  • A neural network-based framework to understand the type 2 diabetes-related alteration of the human gut microbiome. 2022 PMID 38868565 PMC10989819 unsure
Details
Archive description

T2D patients were randomly divided into two groups receiving WTP diet or usual care. The gut microbiota changed and the host clinical parameters were improved. Several key bacteria were identified.

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 · “diet to modulate gut microbiota to alleviate”
  • body site study.description · “usual care. The gut microbiota changed and”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA4385395collection_date2016R10.90biosample.attribute:collection_date2016
SAMEA4385395countryCNR10.90sample.attr.geographic_location_country_and_or_seaChina
SAMEA4385395health_conditiontype2_diabetesR10.70biosample.name_rule:alias1U001
SAMEA4385395health_condition_detailT2D patients (project description)R10.70biosample.name_rule:alias1U001
SAMEA4385395interventionno_interventionR10.70biosample.name_rule:alias1U001
SAMEA4385395subject_idU001R10.70biosample.name_rule:alias1U001
SAMEA4385395timepoint_label1R10.70biosample.name_rule:alias1U001
Sequencing

220 runs over 220 samples · mean 14.83 Gbp per run (median 15.01 Gbp, total 3,262.75 Gbp; 220 runs with a base count) · layout PAIRED 220 · platform ILLUMINA 220 · models Illumina HiSeq 2500 (220) · 88% of runs with a Sandpiper profile · first public 2018-03-11

Authors (11)

Chen J first · Siliceo SL · Ni Y · Nielsen HB · Xu A · Panagiotou G last · Guo S first · Zhang H · Chu Y · Jiang Q · Ma Y last

Downloads

PRJEB15179.csv.gz (6.0 KB) · parquet (77.6 KB) — all 220 samples, every field with route and confidence · PRJEB15179_determinations.csv.gz (13.6 KB) — 1,540 evidence rows

Samples (220 · every field this project has values for · hover a cell for its source)
Loading the sample table…