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PRJNA701982 SRP307429

Gut microbiome in paediatric short bowel syndrome, St. Louis

Antibiotic-driven intestinal dysbiosis in paediatric SBS alters microbiome functions and is associated with gut-derived blood stream infections throughout childhood

Longitudinal cohort of 67 shotgun metagenomic samples from children with short bowel syndrome in St. Louis, USA, examining antibiotic-driven intestinal dysbiosis and its association with gut-derived bloodstream infections. machine-written summary

67 samples · 67 runs · US · Infant / toddler · 2021 · 1.27 Gbp / sample

Sources
✓Sequence archive 77○Abstract / description○Full text✓Supplementary tables 283–External resources–User contribution–Human verified

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

what each source gave
✓ Sequence archive77 sample values (country, subject id)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC8284144
✓ Supplementary tables283 sample values (age, antibiotic exposure, gestational age weeks, sex, subject id)
– 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

design observational_with_procedure · Surgical intestinal resection resulting in short bowel syndrome

Samples at a glance
1 country
Age
infant47
unknown10
child9
neonate1
Sex
male32
female25
Country
US67
Body site
primary67
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 %)this project, 0.03–0.1 Gbp: 2 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 1 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 19 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 45 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)all 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 1.27 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

13 of 23 people sampled more than once (57 samples; median 4, up to 8 per person) · follow-up median 21 mo (max 2.8 y) · median interval between samples 5 mo (time from age at collection). Schedule stated by the source: “Serial stool collection over the first four years of life per SBS patient; one participant also sampled later in adolescence.” (time origin: birth).

SGS_01SGS_01: day 0SGS_01: day 180SGS_01: day 294SGS_01: day 358SGS_01: day 386SGS_01: day 449SGS_01: day 530SGS_01: day 785SGS_03SGS_03: day 0SGS_03: day 195SGS_06SGS_06: day 0SGS_06: day 53SGS_07SGS_07: day 0SGS_07: day 98SGS_07: day 200SGS_07: day 325SGS_07: day 354SGS_07: day 490SGS_07: day 644SGS_07: day 798SGS_08SGS_08: day 0SGS_08: day 211SGS_08: day 568SGS_08: day 813SGS_08: day 1027SGS_09SGS_09: day 0SGS_09: day 210SGS_09: day 364SGS_09: day 597SGS_09: day 938SGS_10SGS_10: day 0SGS_10: day 269SGS_10: day 528SGS_10: day 654SGS_11SGS_11: day 0SGS_11: day 175SGS_11: day 381SGS_11: day 485SGS_11: day 632SGS_12SGS_12: day 0SGS_12: day 177SGS_12: day 394SGS_12: day 520SGS_14SGS_14: day 0SGS_14: day 161SGS_14: day 387SGS_17SGS_17: day 0SGS_17: day 140SGS_17: day 2240 d8 mo17 mo2.1 y2.8 y

Each row is one person (11 shown of 13); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Escherichia 15.1%Bifidobacterium 8.2%Lactobacillus 6.2%Klebsiella 5.2%Enterococcus 4.8%Streptococcus 4.6%Bacteroides 4.4%Veillonella 3.8%Pseudomonas 3.4%Stenotrophomonas 3.2%Mediterraneibacter 2.1%Aeromonas 2.0%not assigned to a genus 5.8%other genera 31.5%

Genera, mean relative abundance over 62 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category57 85%
country67 100%67
health_condition0 0%
subject_id67 100%1057
age_at_collection_days57 85%57
gestational_age_weeks57 85%57
sex57 85%57
antibiotic_exposure55 82%55
Papers (1)
  • Antibiotic-driven intestinal dysbiosis in pediatric short bowel syndrome is associated with persistently altered microbiome functions and gut-derived bloodstream infections. PMID 34264786 PMC8284144 curated
Details
Archive description

Shotgun metagenomic sequencing of the intestinal microbiota of children with short bowel syndrome and genome sequencing of blood stream infection isolates Raw sequence reads

How this project entered the registry

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

  • host external_curation.infant_catalog · “infant triage verdict include”
  • body site study.title · “Antibiotic-driven intestinal dysbiosis in paediatric”
  • body site study.description · “sequencing of the intestinal microbiota of children”
  • body site study.title · “associated with gut-derived blood stream infections throughout”
  • body site study.description · “genome sequencing of blood stream infection isolates”
  • life stage study.title · “intestinal dysbiosis in paediatric SBS alters microbiome”
  • life stage study.description · “intestinal microbiota of children with short bowel”
  • life stage external_curation.infant_catalog · “infant triage verdict include (0-3 y scope)”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN18016864age_at_collection_days266R20.85paper.supp.tableDay_of_life=266
SAMN18016864antibiotic_exposureyesR20.85paper.supp.KGMI_A_1940792_SM0926.zip/Supplementary information/Supplementary Data Table 1.xlsx[210105_case_metadata][Antibiotics_current]Yes
SAMN18016864countryUSR10.90biosample_attrUSA: St. Louis
SAMN18016864gestational_age_weeks29.6R20.85paper.supp.tableGA_birth=29.6
SAMN18016864sexfemaleR20.85paper.supp.tableGender=F
SAMN18016874subject_id05R10.70biosample.attribute:sample_identifierSGS_05_001
SAMN18016864subject_idSGS_01R20.85paper.supp.KGMI_A_1940792_SM0926.zip/Supplementary information/Supplementary Data Table 1.xlsx[210105_case_metadata][Patient_ID]SGS_01
Sequencing

67 runs over 67 samples · mean 1.24 Gbp per run (median 1.27 Gbp, total 83.25 Gbp; 67 runs with a base count) · layout PAIRED 67 · platform ILLUMINA 67 · models NextSeq 500 (67) · 93% of runs with a Sandpiper profile · first public 2021-07-28

Authors (17)

Thänert R first · Thänert A · Ou J · Bajinting A · Burnham CD · Engelstad HJ · Tecos ME · Ndao IM · Hall-Moore C · Rouggly-Nickless C · Carl MA · Rubin DC · Davidson NO · Tarr PI · Warner BB · Dantas G · Warner BW last

Downloads

PRJNA701982.csv.gz (3.1 KB) · parquet (73.3 KB) — all 67 samples, every field with route and confidence · PRJNA701982_determinations.csv.gz (3.9 KB) — 360 evidence rows

Samples (67 · every field this project has values for · hover a cell for its source)
Loading the sample table…