Gut mucosal microbiome in probiotic and antibiotic intervention
1613 samples from healthy adults (and some elderly), studying gut mucosal and stool microbiome responses to probiotic supplementation, antibiotic treatment, and autologous FMT in an intervention design. machine-written summary
1,613 samples · 1,613 runs · Adult · 2018 · 1.18 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 11,793 sample values (age, antibiotic exposure, health condition, intervention, intervention detail, sex, subject id, timepoint) |
| ○ Abstract / description | read; no usable statement |
| ○ Full text | read; no usable statement or table · PMC10349097, PMC10709418, PMC7931531, PMC9972980 |
| ○ Supplementary tables | files read; no table could be matched to the samples |
| – External resources | not covered by the external resources we ingest |
| – User contribution | nothing uploaded yet |
| – Human verified | not yet checked by a person · I checked this project — verify it |
intervention · arms resolved
25 people have samples in more than one arm.
Antibiotic given as the study intervention (incl. eradication therapy Faecal microbiota transplantation Probiotic (live microorganisms; single strain or mixture) design randomized_controlled_trial · population healthy_control · 11-strain probiotic vs placebo; post-antibiotic probiotic vs autologous FMT
“11-strain probiotic combination or placebo” — bioproject.description (study level; per-sample arms are in the intervention column below)
longitudinal — not resolved
88 of 88 people sampled more than once (1,594 samples; median 10, up to 39 per person). Schedule stated by the source: “Stool sampled sequentially at baseline, during antibiotics, and during intervention (probiotics/placebo/aFMT) phases; per-sample Day values 1-7 and 21” (time origin: intervention_start).
Genera, mean relative abundance over 1,298 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).
| field | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 1,613 | 100% | ||||
| country | 0 | 0% | ||||
| health_condition | 1,613 | 100% | 1,613 | |||
| subject_id | 1,613 | 100% | 1,613 | |||
| age_at_collection_days | 1,613 | 100% | 1,613 | |||
| sex | 1,613 | 100% | 1,613 | |||
| timepoint_label | 1,613 | 100% | 1,613 | |||
| intervention | 1,501 | 93% | 1,501 | |||
| intervention_detail | 1,501 | 93% | 1,501 | |||
| antibiotic_exposure | 726 | 45% | 726 |
- Accurate and sensitive detection of microbial eukaryotes from whole metagenome shotgun sequencing. 2021 PMID 33658077 PMC7931531 own_data
- Strains Colonizing Different Intestinal Sites within an Individual Are Derived from a Single Founder Population. 2023 PMID 36719226 PMC9972980 own_data
- Probiotics impact the antibiotic resistance gene reservoir along the human GI tract in a person-specific and antibiotic-dependent manner. 2021 PMID 34226711 PMC8318886 unsure
- Probiotic consumption influences universal adaptive mutations in indigenous human and mouse gut microbiota. 2021 PMID 34663913 PMC8523657 unsure
- Lacticaseibacillus paracasei: Occurrence in the Human Gut Microbiota and K-Mer-Based Assessment of Intraspecies Diversity. 2021 PMID 34833122 PMC8620312 unsure
3 more
- Genetic strategies for sex-biased persistence of gut microbes across human life. 2023 PMID 37452041 PMC10349097
- IgG and IgM cooperate in coating of intestinal bacteria in IgA deficiency. 2023 PMID 38065985 PMC10709418
- Phylogroup Homeostasis of <i>Escherichia coli</i> in the Human Gut Reflects the Physiological State of the Host. 2025 PMID 40732093 PMC12299893
Archive description
Abstract (1):Empiric probiotics are commonly consumed in healthy individuals as means of life quality improvement and disease prevention. However, evidence of probiotic gut mucosal colonization efficacy remains sparse and controversial. We metagenomically characterized the murine and human mucosal-associated gastrointestinal microbiome and found it to only partially correlate with stool microbiome. A sequential invasive multi-omics measurement at baseline and during consumption of an 11-strain probiotic combination or placebo, demonstrated that probiotics remain viable upon gastrointestinal passage. In colonized, but not germ-free mice, probiotics encountered a marked mucosal colonization resistance. In contrast, humans featured a person-, region- and microbial-specific mucosal colonization patterns, hallmarked by differential baseline host and microbiome features, but indistinguishable by probiotics presence in stool. Consequently, probiotics induced a transient, highly-individualized impact on mucosal community structure and gut transcriptome. Collectively, empiric probiotics supplementation may be limited in universally and persistently impacting the gut mucosa, meriting development of new personalized probiotic approaches.Abstract (2):Probiotics are widely prescribed for prevention of antibiotics-associated dysbiosis and related adverse effects. However, probiotic impact on post-antibiotic reconstitution of the gut mucosal host-microbiome niche remains elusive. We invasively examined the effects of multi-strain probiotics or autologous fecal microbiome transplantation (aFMT) on post-antibiotic reconstitution of the murine and human mucosal microbiome niche. Contrary to homeostasis, antibiotic perturbation enhanced probiotics colonization in the human mucosa, but only mildly improved colonization in mice. Compared to spontaneous recovery, probiotics induced a markedly delayed and persistently-incomplete indigenous stool/mucosal microbiome reconstitution and gut transcriptome recovery to steady-state configuration, while aFMT induced a rapid and near-complete recovery within days of administration. In-vitro, Lactobacillus-secreted soluble factors contributed to probiotics-induced microbiome inhibition. Collectively, potential post-antibiotic probiotic benefits may be offset by a compromised microbiome and host recovery, highlighting a need of developing aFMT or personalized probiotic approaches achieving mucosal protection, without compromising microbiome recolonization in the antibiotics-perturbed host.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of adult by deterministic_prior with confidence 0.90. Assay shotgun_dna.
- host external_curation.infant_catalog · “infant triage reason_code age_adult_only”
- body site study.title · “host features resist gut mucosal colonization by”
- body site study.description · “evidence of probiotic gut mucosal colonization efficacy”
- life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMEA4844395 | age_at_collection_days | 14610.0 | R1 | 0.85 | sample.attr.age | 40 |
| SAMEA4844395 | antibiotic_exposure | no | R1 | 0.85 | biosample.attribute:group | no intervention group - naive |
| SAMEA4845256 | antibiotic_exposure | no | R1 | 0.70 | sample.name_rule:description | stool sample (naive) of participant 701 |
| SAMEA4844395 | health_condition | healthy_control | R1 | 0.80 | biosample_attr | no intervention group - naive |
| SAMEA4844395 | intervention | no_intervention | R1 | 0.80 | biosample.attribute:Group | Group: no intervention group - naive |
| SAMEA4844412 | intervention | no_intervention | R1 | 0.90 | biosample.attribute:Phase | Phase: baseline |
| SAMEA4844395 | intervention_detail | baseline, no-intervention control group | R1 | 0.80 | biosample.attribute:Group | Group: no intervention group - naive |
| SAMEA4844412 | intervention_detail | pre-intervention baseline; assigned arm: validation cohort during probiotic intervention | R1 | 0.90 | biosample.attribute:Phase | Phase: baseline |
| SAMEA4844395 | sex | female | R1 | 0.90 | sample.attr.sex | F |
| SAMEA4844395 | subject_id | 10 | R1 | 0.85 | sample.attr.participant | 10 |
| SAMEA4844395 | timepoint_label | naive | R1 | 0.70 | sample.name_rule:description | endoscopic sample lumen of UGI (naive) of participant 10 |
| SAMEA4844412 | timepoint_label | baseline | R1 | 0.85 | sample.attr.phase | baseline |
Sequencing
1,613 runs over 1,613 samples · mean 1.28 Gbp per run (median 1.18 Gbp, total 2,058.10 Gbp; 1,613 runs with a base count) · layout PAIRED 1,613 · platform ILLUMINA 1,613 · models NextSeq 500 (1,613) · 84% of runs with a Sandpiper profile · first public 2018-09-14
Authors (30)
Lind AL first · Pollard KS last · Montassier E first · Valdés-Mas R · Batard E · Zmora N · Dori-Bachash M · Suez J · Elinav E last · Dubinsky V first · Dotan I · Gophna U last · Eriksen C first · Moll JM · Myers PN · Pinto ARA · Danneskiold-Samsøe NB · Dehli RI · Rosholm LB · Dalgaard MD · Penders J · Jonkers DM · Pan-Hammarström Q · Hammarström L · Kristiansen K · Brix S last · Frolova MS first · Kiselev SS · Panyukov VV · Ozoline ON last
Downloads
PRJEB28097.csv.gz (36.5 KB) · parquet (122.3 KB) — all 1,613 samples, every field with route and confidence · PRJEB28097_determinations.csv.gz (71.0 KB) — 11,793 evidence rows