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PRJNA917819 SRP563843

Probiotics & post-antibiotic gut recovery, Chinese adults

Probiotics modulation of post-antibiotic gut microbiome in healthy population

296 gut microbiome samples from a healthy Chinese population, studying effects of three probiotic formulae on post-antibiotic recovery in an intervention design. machine-written summary

296 samples · 296 runs · CN · Age unknown · 2025 · 6.67 Gbp / sample

Sources
✓Sequence archive 592✓Abstract / description 592–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 archive592 sample values (subject id, timepoint)
✓ Abstract / description592 sample values (country, health condition)
– 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

Probiotic (live microorganisms; single strain or mixture) design randomized_controlled_trial · population healthy_control · Three probiotic formulae given after antibiotic course to aid recovery

“three different formulae of probiotics on post-antibiotic recovery” — bioproject.description (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 country
Age
unknown296
Condition
healthy_control296
Country
CN296
Body site
primary296
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: 296 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 6.67 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

60 of 60 people sampled more than once (296 samples; median 5, up to 5 per person) · follow-up median 3 mo (max 3 mo) · median interval between samples 7 d (time from timepoint labels).

MGA1MGA1: day 0MGA1: day 7MGA1: day 14MGA1: day 21MGA1: day 104MGA11MGA11: day 0MGA11: day 7MGA11: day 14MGA11: day 21MGA11: day 104MGA12MGA12: day 0MGA12: day 7MGA12: day 14MGA12: day 21MGA12: day 104MGA13MGA13: day 0MGA13: day 7MGA13: day 14MGA13: day 21MGA13: day 104MGA14MGA14: day 0MGA14: day 7MGA14: day 14MGA14: day 21MGA14: day 104MGA15MGA15: day 0MGA15: day 7MGA15: day 14MGA15: day 21MGA15: day 104MGA16MGA16: day 0MGA16: day 7MGA16: day 14MGA16: day 21MGA16: day 104MGA17MGA17: day 0MGA17: day 7MGA17: day 14MGA17: day 21MGA17: day 104MGA18MGA18: day 0MGA18: day 7MGA18: day 14MGA18: day 21MGA18: day 104MGA19MGA19: day 0MGA19: day 7MGA19: day 14MGA19: day 21MGA19: day 104MGA2MGA2: day 0MGA2: day 7MGA2: day 14MGA2: day 21MGA2: day 104MGA20MGA20: day 0MGA20: day 7MGA20: day 14MGA20: day 21MGA20: day 104MGA21MGA21: day 0MGA21: day 7MGA21: day 14MGA21: day 21MGA21: day 104MGA22MGA22: day 0MGA22: day 7MGA22: day 14MGA22: day 21MGA22: day 104MGA23MGA23: day 0MGA23: day 7MGA23: day 14MGA23: day 21MGA23: day 104MGA26MGA26: day 0MGA26: day 7MGA26: day 14MGA26: day 21MGA26: day 104MGA27MGA27: day 0MGA27: day 7MGA27: day 14MGA27: day 21MGA27: day 104MGA28MGA28: day 0MGA28: day 7MGA28: day 14MGA28: day 21MGA28: day 104MGA29MGA29: day 0MGA29: day 7MGA29: day 14MGA29: day 21MGA29: day 104MGA3MGA3: day 0MGA3: day 7MGA3: day 14MGA3: day 21MGA3: day 104MGA30MGA30: day 0MGA30: day 7MGA30: day 14MGA30: day 21MGA30: day 104MGA31MGA31: day 0MGA31: day 7MGA31: day 14MGA31: day 21MGA31: day 104MGA32MGA32: day 0MGA32: day 7MGA32: day 14MGA32: day 21MGA32: day 104MGA33MGA33: day 0MGA33: day 7MGA33: day 14MGA33: day 21MGA33: day 104MGA34MGA34: day 0MGA34: day 7MGA34: day 14MGA34: day 21MGA34: day 104MGA35MGA35: day 0MGA35: day 7MGA35: day 14MGA35: day 21MGA35: day 104MGA36MGA36: day 0MGA36: day 7MGA36: day 14MGA36: day 21MGA36: day 104MGA37MGA37: day 0MGA37: day 7MGA37: day 14MGA37: day 21MGA37: day 104MGA38MGA38: day 0MGA38: day 7MGA38: day 14MGA38: day 21MGA38: day 104MGA39MGA39: day 0MGA39: day 7MGA39: day 14MGA39: day 21MGA39: day 104MGA40MGA40: day 0MGA40: day 7MGA40: day 14MGA40: day 21MGA40: day 104MGA41MGA41: day 0MGA41: day 7MGA41: day 14MGA41: day 21MGA41: day 104MGA42MGA42: day 0MGA42: day 7MGA42: day 14MGA42: day 21MGA42: day 104MGA43MGA43: day 0MGA43: day 7MGA43: day 14MGA43: day 21MGA43: day 104MGA44MGA44: day 0MGA44: day 7MGA44: day 14MGA44: day 21MGA44: day 104MGA45MGA45: day 0MGA45: day 7MGA45: day 14MGA45: day 21MGA45: day 1040 d26 d52 d3 mo3 mo

Each row is one person (36 shown of 60); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Bifidobacterium 12.7%Bacteroides 10.2%Blautia_A 8.2%Phocaeicola 8.2%Faecalibacterium 7.0%Collinsella 3.7%Mediterraneibacter 3.2%Roseburia 2.4%Parabacteroides 2.4%Fusicatenibacter 2.0%Escherichia 2.0%Alistipes 1.9%not assigned to a genus 3.7%other genera 32.4%

Genera, mean relative abundance over 254 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%
country296 100%296
health_condition296 100%296
subject_id296 100%296
timepoint_label296 100%296
Details
Archive description

This study investigated the gut modulation effects of three different formulae of probiotics on post-antibiotic recovery in healthy Chinese population.

How this project entered the registry

Classified as human gut / stool shotgun DNA metagenome of age unknown by sonnet_x2 with confidence 0.75. Assay shotgun_dna.

  • host run.host_tax_id · “9606”
  • body site run.scientific_name · “human gut metagenome”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN46797973countryCNR40.50study.descriptionhealthy Chinese population
SAMN46797973health_conditionhealthy_controlR40.50study.descriptionhealthy Chinese population
SAMN46797973subject_idMGA1R10.70sample.name_rule:titleMGA1_Day0
SAMN46797973timepoint_labelDay0R10.70sample.name_rule:titleMGA1_Day0
Sequencing

296 runs over 296 samples · mean 6.66 Gbp per run (median 6.67 Gbp, total 1,972.26 Gbp; 296 runs with a base count) · layout PAIRED 296 · platform ILLUMINA 296 · models Illumina NovaSeq 6000 (296) · 86% of runs with a Sandpiper profile · first public 2025-02-15

Authors (0)

No author record.

Downloads

PRJNA917819.csv.gz (8.1 KB) · parquet (79.1 KB) — all 296 samples, every field with route and confidence · PRJNA917819_determinations.csv.gz (7.6 KB) — 1,184 evidence rows

Samples (296 · every field this project has values for · hover a cell for its source)
Loading the sample table…