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PRJNA588805 SRP229465

Gut microbiome in bariatric surgery patients, Auckland NZ

Gut microbiome changes after bariatric surgery

87 gut microbiome samples from adults with obesity in Auckland, New Zealand, studied in an intervention design comparing changes following RYGB or SG bariatric surgery. machine-written summary

87 samples · 87 runs · NZ · Adult · 2020 · 4.33 Gbp / sample

Sources
✓Sequence archive 697✓Abstract / description 174–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 archive697 sample values (bmi, collection date, country, diet, diet detail, intervention, location locality, subject id)
✓ Abstract / description174 sample values (health condition, health condition detail)
– 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 not resolved

Surgical procedure studied before/after (bariatric surgery design randomized_controlled_trial · population obesity · Randomised RYGB vs sleeve gastrectomy bariatric surgery

“randomisation to RYGB or SG bariatric surgery” — bioproject.description (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 country
Age
adult87
Condition
type2_diabetes87
Country
NZ87
Body site
primary87
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: 8 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 79 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 4.33 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

43 of 44 people sampled more than once (86 samples; median 2, up to 2 per person) · follow-up median 8 d (max 10 d) · median interval between samples 8 d (time from collection dates). Schedule stated by the source: “paired stool samples pre-surgery and 1 year post-surgery” (time origin: surgery); stated follow-up 12 mo.

4949: day 049: day 105656: day 056: day 86363: day 063: day 86464: day 064: day 66666: day 066: day 26868: day 068: day 26969: day 069: day 27171: day 071: day 87272: day 072: day 100 d2 d5 d8 d10 d

Each row is one person (9 shown of 43); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Bacteroides 17.7%Phocaeicola 11.7%Alistipes 8.8%Prevotella 3.6%Akkermansia 2.6%Parabacteroides 2.6%Roseburia 2.4%Escherichia 2.3%Vescimonas 2.1%Faecalibacterium 1.5%Phascolarctobacterium 1.5%Acetatifactor 1.4%not assigned to a genus 5.3%other genera 36.6%

Genera, mean relative abundance over 77 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category87 100%
country87 100%87
health_condition87 100%87
subject_id87 100%87
bmi87 100%87
collection_date87 100%87
detailed_location87 100%
health_condition_detail87 100%87
intervention87 100%87
location_locality87 100%87
timepoint_label87 100%87
diet44 51%44
diet_detail44 51%44
Papers (1)
  • Gut Microbial Predictors of Type 2 Diabetes Remission Following Bariatric Surgery. 2020 PMID 32447634 own_data
Details
Archive description

To determine gut bacterial and predicted functional changes following randomisation to RYGB or SG bariatric surgery

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 · “Gut microbiome changes after”
  • body site study.description · “To determine gut bacterial and predicted”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN13258083bmi40.7R10.90sample.attr.host_body_mass_index40.7
SAMN13258083collection_date2016-09-15R10.90biosample.attribute:collection_date2016-09-15
SAMN13258083countryNZR10.90sample.attr.geo_loc_nameNew Zealand:Auckland
SAMN13258083diettherapeutic_or_study_dietR10.90biosample.attribute:host_dietVLCD
SAMN13258083diet_detailVLCDR10.90biosample.attribute:host_dietVLCD
SAMN13258083health_conditiontype2_diabetesR40.50paper.abstract44 participants with T2D randomised to banded Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (SG)
SAMN13258083health_condition_detailparticipants with T2DR40.50paper.abstract44 participants with T2D randomised to banded Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (SG)
SAMN13258083interventionsurgeryR10.85biosample.attribute:misc_paramSG
SAMN13258083location_localityAucklandR10.85biosample.attribute:geo_loc_nameNew Zealand:Auckland
SAMN13258083subject_id10R10.70sample.name_rule:TITLE10T0
SAMN13258083timepoint_labelPre-SurgeryR10.85biosample.attribute:DESCRIPTIONPre-Surgery
Sequencing

87 runs over 87 samples · mean 4.32 Gbp per run (median 4.33 Gbp, total 376.22 Gbp; 87 runs with a base count) · layout PAIRED 87 · platform ILLUMINA 87 · models Illumina HiSeq 2000 (87) · 89% of runs with a Sandpiper profile · first public 2020-08-08 – 2020-08-09

Authors (0)

No author record.

Downloads

PRJNA588805.csv.gz (3.5 KB) · parquet (74.8 KB) — all 87 samples, every field with route and confidence · PRJNA588805_determinations.csv.gz (7.9 KB) — 871 evidence rows

Samples (87 · every field this project has values for · hover a cell for its source)
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