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PRJNA311208 SRP069867

Pediatric short bowel syndrome gut microbiota, Dallas, TX

Severe gut microbiota dysbiosis is associated with poor growth in patients with short bowel syndrome

Longitudinal study of 11 stool samples from children with short bowel syndrome and healthy controls in Dallas, Texas, comparing gut bacterial populations. machine-written summary

11 samples · 16 runs · US · Infant / toddler · 2016 · 12.48 Gbp / sample

Sources
✓Sequence archive 44○Abstract / description–Full text–Supplementary tables✓External resources 11–User contribution–Human verified

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

what each source gave
✓ Sequence archive44 sample values (collection date, country, health condition, health condition detail)
○ Abstract / descriptionread; no usable statement
– Full textno open-access full text linked
– Supplementary tablesno supplementary tables available (or none open access)
✓ External resources11 sample values (antibiotic exposure) · from Meta2DB (LLNL)
– User contributionnothing uploaded yet
– Human verifiednot yet checked by a person · I checked this project — verify it
Samples at a glance
1 country
Age
unknown11
Condition
healthy_control6
malnutrition5
Country
US11
Body site
primary11
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: 3 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 8 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 12.48 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

Schedule stated by the source: “Stool samples collected from children with SBS and healthy controls over a three month period” (time origin: enrolment); stated follow-up 3 mo.

How longitudinal and relatedness information is derived

Community composition
Bifidobacterium 10.9%Streptococcus 9.8%Escherichia 7.0%Veillonella 5.8%Blautia_A 5.5%Fusobacterium 5.3%Klebsiella 4.6%Mediterraneibacter 3.6%Roseburia 3.5%Prevotella 2.8%Thomasclavelia 2.8%Fusicatenibacter 2.3%not assigned to a genus 4.7%other genera 31.5%

Genera, mean relative abundance over 11 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%
country11 100%11
health_condition11 100%11
subject_id0 0%
antibiotic_exposure11 100%11
collection_date11 100%11
health_condition_detail11 100%11
Papers (1)
  • Severe Gut Microbiota Dysbiosis Is Associated With Poor Growth in Patients With Short Bowel Syndrome. 2017 PMID 27406942 own_data
Details
Archive description

This is a prospective cohort study using metagenomics to characterize gut microbiota populations of pediatric short bowel syndrome (SBS) patients with variable growth trajectories. Stool samples were collected from children with SBS and healthy controls over a three month period. Differences in gut bacterial populations were compared between healthy children and those with SBS (including a more in depth analysis of SBS children exhibiting poor and good growth).

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of infant / toddler and child by deterministic_prior with confidence 0.90. Assay shotgun_dna.

  • host external_curation.infant_catalog · “infant triage verdict include”
  • body site study.title · “Severe gut microbiota dysbiosis is”
  • body site study.description · “metagenomics to characterize gut microbiota populations of”
  • life stage external_curation.infant_catalog · “infant triage verdict include (0-3 y scope)”
  • life stage study.description · “microbiota populations of pediatric short bowel syndrome”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN04480489antibiotic_exposurenoR20.70external.meta2db sourceantibiotics: FALSE
SAMN04480489collection_date2014-06-16R10.85biosample.attribute:collection_datecollection_date: 2014-06-16
SAMN04480489countryUSR10.90biosample_attrUSA: Dallas, Texas
SAMN04480489health_conditionhealthy_controlR10.90sample.attr.conditioncondition=Healthy
SAMN04480489health_condition_detailHealthyR10.90biosample.attribute:conditioncondition: Healthy
Sequencing

16 runs over 11 samples · mean 8.23 Gbp per run (median 6.00 Gbp, total 131.67 Gbp; 16 runs with a base count) · layout PAIRED 16 · platform ILLUMINA 16 · models Illumina HiSeq 2000 (16) · 100% of runs with a Sandpiper profile · first public 2016-07-16

Authors (11)

Piper HG first · Fan D · Coughlin LA · Ho EX · McDaniel MM · Channabasappa N · Kim J · Kim M · Zhan X · Xie Y · Koh AY last

Downloads

PRJNA311208.csv.gz (1.2 KB) · parquet (69.7 KB) — all 11 samples, every field with route and confidence · PRJNA311208_determinations.csv.gz (1.3 KB) — 55 evidence rows

Samples (11 · every field this project has values for · hover a cell for its source)
Loading the sample table…