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
Probiotic (live microorganisms; single strain or mixture)designrandomized_controlled_trial · populationhealthy_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
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).
Each row is one person (36 shown of 60); dots are samples at days since that person's first sample.
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).
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.
hostrun.host_tax_id · “9606”
body siterun.scientific_name · “human gut metagenome”
Evidence examples (one per field × route)
sample
field
value
route
conf.
source
quote
SAMN46797973
country
CN
R4
0.50
study.description
healthy Chinese population
SAMN46797973
health_condition
healthy_control
R4
0.50
study.description
healthy Chinese population
SAMN46797973
subject_id
MGA1
R1
0.70
sample.name_rule:title
MGA1_Day0
SAMN46797973
timepoint_label
Day0
R1
0.70
sample.name_rule:title
MGA1_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