Home › Studies › PRJNA1033539
PRJNA1033539 SRP469461

Gut microbiota in critically ill children, Shanghai, case-control

Pediatric Intensive Care Unit Treatment Alters the Diversity and Composition of the Gut Microbiota and Antimicrobial Resistance Gene Expression in Critically Ill Children

142 anal swab samples from children in Shanghai, China, comparing gut microbiota between sepsis patients and healthy controls in a case-control study examining PICU treatment effects on microbial diversity and antimicrobial resistance genes. machine-written summary

142 samples · 142 runs · CN · Child · 2023 · 0.15 Gbp / sample

Sources
✓Sequence archive 1,097✓Abstract / description 142✓Full text 426○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 archive1,097 sample values (collection date, country, latitude, location locality, location region, longitude, subject id, timepoint)
✓ Abstract / description142 sample values (location site)
✓ Full text426 sample values (antibiotic exposure, health condition, health condition detail) · PMC10679412, PMC12834510
○ Supplementary tablesfiles read; no table could be matched to the samples
– 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
Samples at a glance
3 sampling locations · 1 country
Age
child142
Condition
other_disease142
Country
CN142
Body site
primary142
Collected 2021–2022
2021: 125 samples2022: 17 samples20212022
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 5 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)this project, 0.03–0.1 Gbp: 42 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 44 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 30 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 21 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 0.15 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

71 of 71 people sampled more than once (142 samples; median 2, up to 2 per person) · follow-up median 7 d (max 48 d) · median interval between samples 7 d (time from collection dates). Schedule stated by the source: “Anal swabs collected on days 1 (D1) and 7 (D7) of PICU admission” (time origin: admission); stated follow-up 28 d.

S1S1: day 0S1: day 48S10S10: day 0S10: day 8S11S11: day 0S11: day 7S12S12: day 0S12: day 6S13S13: day 0S13: day 8S14S14: day 0S14: day 15S15S15: day 0S15: day 8S16S16: day 0S16: day 6S17S17: day 0S17: day 6S18S18: day 0S18: day 8S19S19: day 0S19: day 7S2S2: day 0S2: day 9S20S20: day 0S20: day 7S21S21: day 0S21: day 6S22S22: day 0S22: day 6S23S23: day 0S23: day 6S24S24: day 0S24: day 7S25S25: day 0S25: day 6S26S26: day 0S26: day 7S27S27: day 0S27: day 7S28S28: day 0S28: day 5S29S29: day 0S29: day 6S3S3: day 0S3: day 8S30S30: day 0S30: day 6S31S31: day 0S31: day 7S32S32: day 0S32: day 7S33S33: day 0S33: day 8S34S34: day 0S34: day 6S35S35: day 0S35: day 7S36S36: day 0S36: day 7S37S37: day 0S37: day 7S38S38: day 0S38: day 7S39S39: day 0S39: day 7S4S4: day 0S4: day 7S40S40: day 0S40: day 7S41S41: day 0S41: day 70 d12 d24 d36 d48 d

Each row is one person (36 shown of 71); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Bacteroides 12.1%Prevotella 8.5%Escherichia 7.8%Phocaeicola 7.6%Klebsiella 6.3%Enterococcus_B 5.0%Parabacteroides 3.3%Mediterraneibacter 2.7%Acinetobacter 2.4%Bifidobacterium 2.3%Alistipes 2.3%Streptococcus 2.1%not assigned to a genus 11.7%other genera 25.9%

Genera, mean relative abundance over 80 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category142 100%
country142 100%142
health_condition142 100%142
subject_id142 100%142
antibiotic_exposure142 100%142
collection_date142 100%142
detailed_location142 100%
health_condition_detail142 100%142
latitude142 100%142
location_locality142 100%142
location_site142 100%142
longitude142 100%142
timepoint_label142 100%142
location_region103 73%103
Papers (2)
  • Pediatric intensive care unit treatment alters the diversity and composition of the gut microbiota and antimicrobial resistance gene expression in critically ill children. 2023 PMID 38029168 PMC10679412 own_data
  • Dysbiosis and metabolic pathway shifts in the gut microbiome of children with sepsis: a comparative analysis. 2025 PMID 41602763 PMC12834510 own_data
Details
Archive description

This study aimed to investigate the changes in the characteristics of the gut microbiota in critically ill children after short-term pediatric intensive care unit (PICU) treatments

How this project entered the registry

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

  • host external_curation.infant_catalog · “infant triage reason_code age_child_over_36m”
  • body site study.title · “Composition of the Gut Microbiota and Antimicrobial”
  • body site study.description · “characteristics of the gut microbiota in critically”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_child_over_36m”
  • life stage study.title · “Pediatric Intensive Care Unit”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN38034349antibiotic_exposureyesR30.70paper.fulltext.methodsreceiving broad-spectrum antibiotics within the first 24 h
SAMN38034349collection_date2021-09-19R10.90biosample.attribute:collection_date2021-09-19
SAMN38034349countryCNR10.90sample.attr.geo_loc_nameChina:shanghai
SAMN38034349health_conditionother_diseaseR30.70paper.fulltext.methodsprospective observational study on children admitted to the PICU
SAMN38034349health_condition_detailcritically ill children admitted to PICU receiving broad-spectrum antibiotic therapyR30.70paper.fulltext.methodsprospective observational study on children admitted to the PICU
SAMN38034349latitude31.2700R10.90biosample.attribute:lat_lon31.27 N 121.52 E
SAMN38034349location_localityShanghaiR10.85biosample.attribute:geo_loc_nameChina:shanghai
SAMN38034349location_regionShanghai ShiR10.60biosample.attribute:lat_lon31.27 N 121.52 E
SAMN38034349location_siteXinhua HospitalR40.50paper.abstractadmitted to the PICU of Xinhua Hospital
SAMN38034349longitude121.5200R10.90biosample.attribute:lat_lon31.27 N 121.52 E
SAMN38034349subject_idS1R10.70sample.name_rule:titleS1
SAMN38034349timepoint_labelD1R10.70sample.name_rule:title+collection_dateS1
Sequencing

142 runs over 142 samples · mean 0.43 Gbp per run (median 0.15 Gbp, total 61.14 Gbp; 142 runs with a base count) · layout SINGLE 142 · platform ILLUMINA 142 · models Illumina NovaSeq 6000 (142) · 57% of runs with a Sandpiper profile · first public 2023-11-01

Authors (9)

Xu J first · Kong X · Li J · Mao H · Zhu Y · Zhu X · Xu Y last · Zhang C · Qi B

Downloads

PRJNA1033539.csv.gz (5.5 KB) · parquet (78.6 KB) — all 142 samples, every field with route and confidence · PRJNA1033539_determinations.csv.gz (15.0 KB) — 1,665 evidence rows

Samples (142 · every field this project has values for · hover a cell for its source)
Loading the sample table…