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PRJEB102033 ERP183436

Gut microbiome in US hospitalized patients and healthy donors

Lantibiotic-producing bacteria impact microbiome resilience and colonization resistance

1877 fecal samples from healthy donors and liver disease, liver transplant, heart transplant, and MICU patients in the USA, studying lanthipeptide/lantibiotic-producing bacteria; cross-sectional design. machine-written summary

1,877 samples · 1,877 runs · US · Age unknown · 2025 · 2.08 Gbp / sample

Sources
✓Sequence archive 16,210✓Abstract / description 333○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 archive16,210 sample values (collection date, country, health condition, health condition detail, location locality, location region, location site, subject id)
✓ Abstract / description333 sample values (health condition detail)
○ Full textread; no usable statement or table · PMC12766783
○ 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
Interventions

intervention — arms not resolved

Other administered intervention (see intervention_detail) design observational_with_procedure · Mouse gavage with lantibiotic-producing Blautia pseudococcoides SCSK after antibiotic dysbiosis

“BpSCSK administration prevents intestinal recolonization by a wide range of commensal species” — abstract:41330369 (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 country
Age
unknown1,877
Condition
other_disease662
liver_disease571
transplant_or_immunocompromised311
Country
US1,877
Body site
primary1,877
Collected 2020–2021
2020: 464 samples2021: 1,413 samples20202021
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 18 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)this project, 0.03–0.1 Gbp: 16 samplesall projects, 0.1–0.3 Gbp: 29,179 samples (5 %)this project, 0.1–0.3 Gbp: 23 samplesall projects, 0.3–1 Gbp: 47,044 samples (8 %)this project, 0.3–1 Gbp: 91 samplesall projects, 1–3 Gbp: 124,983 samples (22 %)this project, 1–3 Gbp: 1,384 samplesall projects, 3–10 Gbp: 253,728 samples (44 %)this project, 3–10 Gbp: 339 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 6 samplesall 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 2.08 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal

399 of 628 people sampled more than once (1,648 samples; median 3, up to 20 per person) · follow-up median 13 d (max 16 mo) · median interval between samples 4 d (time from collection dates). Schedule stated by the source: “Human fecal samples collected repeatedly per patient across up to 32 distinct timepoint labels (subject_id coverage 628 distinct across 1877 samples); exact calendar offsets not given per patient.”.

Patient_102Patient_102: day 0Patient_102: day 6Patient_102: day 8Patient_102: day 10Patient_102: day 16Patient_102: day 16Patient_102: day 19Patient_102: day 20Patient_102: day 21Patient_102: day 173Patient_102: day 174Patient_102: day 175Patient_102: day 188Patient_102: day 194Patient_149Patient_149: day 0Patient_149: day 1Patient_149: day 3Patient_149: day 5Patient_149: day 6Patient_149: day 7Patient_149: day 8Patient_149: day 14Patient_149: day 31Patient_149: day 45Patient_149: day 64Patient_149: day 79Patient_149: day 86Patient_149: day 179Patient_198Patient_198: day 0Patient_198: day 0Patient_198: day 2Patient_198: day 2Patient_198: day 4Patient_198: day 8Patient_198: day 12Patient_198: day 16Patient_198: day 25Patient_198: day 29Patient_267Patient_267: day 0Patient_267: day 2Patient_267: day 4Patient_267: day 7Patient_267: day 16Patient_267: day 18Patient_267: day 22Patient_267: day 23Patient_267: day 26Patient_274Patient_274: day 0Patient_274: day 2Patient_274: day 3Patient_274: day 6Patient_274: day 12Patient_274: day 17Patient_274: day 20Patient_274: day 26Patient_283Patient_283: day 0Patient_283: day 15Patient_283: day 24Patient_283: day 52Patient_283: day 86Patient_283: day 112Patient_283: day 178Patient_283: day 241Patient_284Patient_284: day 0Patient_284: day 1Patient_284: day 1Patient_284: day 5Patient_284: day 10Patient_284: day 15Patient_284: day 23Patient_284: day 43Patient_284: day 78Patient_327Patient_327: day 0Patient_327: day 17Patient_327: day 18Patient_327: day 22Patient_327: day 41Patient_327: day 42Patient_327: day 44Patient_327: day 48Patient_335Patient_335: day 0Patient_335: day 5Patient_335: day 6Patient_335: day 8Patient_335: day 12Patient_335: day 14Patient_335: day 50Patient_335: day 165Patient_335: day 379Patient_335: day 399Patient_335: day 399Patient_335: day 401Patient_335: day 405Patient_335: day 406Patient_335: day 420Patient_335: day 433Patient_335: day 464Patient_335: day 469Patient_350Patient_350: day 0Patient_350: day 1Patient_350: day 38Patient_350: day 47Patient_350: day 50Patient_350: day 52Patient_350: day 54Patient_350: day 56Patient_350: day 57Patient_361Patient_361: day 0Patient_361: day 8Patient_361: day 17Patient_361: day 29Patient_361: day 57Patient_361: day 85Patient_361: day 155Patient_361: day 155Patient_361: day 156Patient_361: day 209Patient_373Patient_373: day 0Patient_373: day 3Patient_373: day 5Patient_373: day 6Patient_373: day 8Patient_373: day 18Patient_373: day 27Patient_373: day 29Patient_373: day 36Patient_373: day 41Patient_394Patient_394: day 0Patient_394: day 2Patient_394: day 25Patient_394: day 31Patient_394: day 32Patient_394: day 33Patient_394: day 36Patient_394: day 38Patient_399Patient_399: day 0Patient_399: day 1Patient_399: day 2Patient_399: day 3Patient_399: day 10Patient_399: day 11Patient_399: day 22Patient_399: day 26Patient_399: day 103Patient_399: day 163Patient_399: day 171Patient_399: day 172Patient_399: day 188Patient_399: day 190Patient_407Patient_407: day 0Patient_407: day 8Patient_407: day 9Patient_407: day 11Patient_407: day 14Patient_407: day 14Patient_407: day 16Patient_407: day 19Patient_407: day 21Patient_407: day 26Patient_407: day 28Patient_407: day 31Patient_407: day 51Patient_407: day 52Patient_407: day 59Patient_495Patient_495: day 0Patient_495: day 63Patient_495: day 83Patient_495: day 137Patient_495: day 145Patient_495: day 153Patient_495: day 163Patient_495: day 217Patient_495: day 219Patient_495: day 242Patient_495: day 243Patient_495: day 256Patient_495: day 257Patient_495: day 295Patient_495: day 306Patient_495: day 310Patient_495: day 315Patient_511Patient_511: day 0Patient_511: day 3Patient_511: day 7Patient_511: day 8Patient_511: day 9Patient_511: day 12Patient_511: day 13Patient_511: day 14Patient_511: day 19Patient_514Patient_514: day 0Patient_514: day 3Patient_514: day 4Patient_514: day 24Patient_514: day 30Patient_514: day 38Patient_514: day 44Patient_514: day 55Patient_514: day 59Patient_514: day 64Patient_514: day 68Patient_514: day 74Patient_514: day 75Patient_514: day 78Patient_514: day 87Patient_519Patient_519: day 0Patient_519: day 4Patient_519: day 4Patient_519: day 5Patient_519: day 6Patient_519: day 6Patient_519: day 20Patient_519: day 79Patient_519: day 105Patient_519: day 135Patient_519: day 163Patient_519: day 190Patient_519: day 210Patient_543Patient_543: day 0Patient_543: day 13Patient_543: day 100Patient_543: day 166Patient_543: day 166Patient_543: day 167Patient_543: day 171Patient_543: day 172Patient_543: day 174Patient_543: day 175Patient_543: day 177Patient_543: day 177Patient_543: day 180Patient_543: day 302Patient_543: day 412Patient_543: day 413Patient_543: day 489Patient_543: day 492Patient_575Patient_575: day 0Patient_575: day 1Patient_575: day 73Patient_575: day 108Patient_575: day 116Patient_575: day 118Patient_575: day 120Patient_575: day 125Patient_575: day 127Patient_575: day 127Patient_575: day 295Patient_577Patient_577: day 0Patient_577: day 11Patient_577: day 26Patient_577: day 36Patient_577: day 46Patient_577: day 96Patient_577: day 179Patient_577: day 249Patient_578Patient_578: day 0Patient_578: day 140Patient_578: day 145Patient_578: day 147Patient_578: day 147Patient_578: day 149Patient_578: day 151Patient_578: day 164Patient_598Patient_598: day 0Patient_598: day 26Patient_598: day 71Patient_598: day 110Patient_598: day 138Patient_598: day 236Patient_598: day 270Patient_598: day 446Patient_617Patient_617: day 0Patient_617: day 153Patient_617: day 154Patient_617: day 156Patient_617: day 158Patient_617: day 167Patient_617: day 167Patient_617: day 173Patient_626Patient_626: day 0Patient_626: day 21Patient_626: day 32Patient_626: day 39Patient_626: day 55Patient_626: day 56Patient_626: day 66Patient_626: day 74Patient_626: day 85Patient_626: day 118Patient_626: day 120Patient_626: day 144Patient_626: day 146Patient_626: day 147Patient_626: day 172Patient_626: day 241Patient_626: day 242Patient_626: day 249Patient_626: day 256Patient_626: day 261Patient_633Patient_633: day 0Patient_633: day 20Patient_633: day 60Patient_633: day 89Patient_633: day 158Patient_633: day 290Patient_633: day 349Patient_633: day 351Patient_633: day 351Patient_634Patient_634: day 0Patient_634: day 22Patient_634: day 24Patient_634: day 29Patient_634: day 35Patient_634: day 36Patient_634: day 184Patient_634: day 185Patient_659Patient_659: day 0Patient_659: day 5Patient_659: day 50Patient_659: day 50Patient_659: day 53Patient_659: day 59Patient_659: day 62Patient_659: day 67Patient_731Patient_731: day 0Patient_731: day 3Patient_731: day 9Patient_731: day 16Patient_731: day 26Patient_731: day 27Patient_731: day 39Patient_731: day 62Patient_731: day 74Patient_770Patient_770: day 0Patient_770: day 5Patient_770: day 6Patient_770: day 18Patient_770: day 21Patient_770: day 24Patient_770: day 44Patient_770: day 58Patient_770: day 60Patient_770: day 65Patient_770: day 73Patient_770: day 74Patient_787Patient_787: day 0Patient_787: day 5Patient_787: day 5Patient_787: day 17Patient_787: day 22Patient_787: day 31Patient_787: day 32Patient_787: day 35Patient_787: day 37Patient_787: day 43Patient_787: day 80Patient_787: day 83Patient_787: day 85Patient_787: day 86Patient_790Patient_790: day 0Patient_790: day 9Patient_790: day 10Patient_790: day 16Patient_790: day 17Patient_790: day 24Patient_790: day 29Patient_790: day 32Patient_790: day 34Patient_790: day 53Patient_790: day 54Patient_790: day 57Patient_790: day 58Patient_790: day 58Patient_801Patient_801: day 0Patient_801: day 5Patient_801: day 26Patient_801: day 26Patient_801: day 27Patient_801: day 31Patient_801: day 31Patient_801: day 32Patient_801: day 40Patient_801: day 41Patient_801: day 42Patient_801: day 49Patient_801: day 51Patient_801: day 67Patient_804Patient_804: day 0Patient_804: day 7Patient_804: day 9Patient_804: day 15Patient_804: day 23Patient_804: day 28Patient_804: day 33Patient_804: day 39Patient_804: day 50Patient_819Patient_819: day 0Patient_819: day 3Patient_819: day 6Patient_819: day 8Patient_819: day 12Patient_819: day 16Patient_819: day 17Patient_819: day 19Patient_819: day 34Patient_819: day 37Patient_819: day 47Patient_819: day 49Patient_819: day 80Patient_819: day 83Patient_819: day 85Patient_819: day 87Patient_819: day 89Patient_819: day 91Patient_819: day 940 d4 mo8 mo12 mo16 mo

Each row is one person (36 shown of 399); dots are samples at days since that person's first sample.

How longitudinal and relatedness information is derived

Community composition
Enterococcus_B 15.6%Bacteroides 6.3%Phocaeicola 4.5%Streptococcus 4.2%Bifidobacterium 4.1%Lacticaseibacillus 4.0%Blautia_A 3.4%Enterococcus 2.7%Klebsiella 2.7%Parabacteroides 2.3%Escherichia 2.2%Mediterraneibacter 2.1%not assigned to a genus 4.8%other genera 41.0%

Genera, mean relative abundance over 1,833 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%
country1,877 100%1,877
health_condition1,544 82%1,544
subject_id1,877 100%1,877
collection_date1,877 100%1,877
detailed_location1,877 100%
health_condition_detail1,877 100%1,544333
location_locality1,877 100%1,877
location_region1,877 100%1,877
location_site1,877 100%1,877
timepoint_label1,860 99%1,860
Papers (1)
  • Lantibiotic-producing bacteria impact microbiome resilience and colonization resistance. 2025 PMID 41330369 PMC12766783 own_data
Details
Archive description

In this study, we investigate the presence of lanthipeptides in fecal samples that have undergone shallow-shotgun sequencing from healthy human donors as well as liver disease, liver transplant, heart transplant, and medical intensive care unit (MICU) patients. Using 16S rRNA gene sequencing of mouse fecal pellets, we demonstrate that the lantibiotic-producing bacterium Blautia pseudococcoides SCSK prevents intestinal recolonization of mice by a wide range of commensal species following antibiotic-induced dysbiosis and markedly reduces fecal concentrations of microbiota-derived metabolites. Blautia producta KH6, a closely related Blautia strain that lacks a known lantibiotic, does not have the same effect. Lantibiotic-mediated dysbiosis results in sustained loss of colonization resistance against Klebsiella pneumoniae and Clostridioides difficile infection.

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”
  • host study.description · “healthy human donors”
  • body site study.description · “fecal samples that have undergone shallow-shotgun sequencing”
  • body site run.scientific_name · “human gut metagenome”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA120478552collection_date2020-10-19R10.90biosample.attribute:collection_date2020-10-19
SAMEA120478552countryUSR10.90sample.attr.geographic_location_country_and_or_seaUSA
SAMEA120478552health_conditionother_diseaseR10.70sample.name_rule:aliasMICU-077.01
SAMEA120478552health_condition_detailMICUR10.70sample.name_rule:aliasMICU-077.01
SAMEA120478567health_condition_detailmixed_case_control: healthy donors vs liver disease, transplant, and MICU patientsR40.40study.descriptionhealthy human donors as well as liver disease, liver transplant, heart transplant,
SAMEA120478552location_localityChicagoR10.85biosample.attribute:geographic_location_region_and_localityUSA: University of Chicago, Chicago, Illinois
SAMEA120478552location_regionIllinoisR10.85biosample.attribute:geographic_location_region_and_localityUSA: University of Chicago, Chicago, Illinois
SAMEA120478552location_siteUniversity of ChicagoR10.85biosample.attribute:geographic_location_region_and_localityUSA: University of Chicago, Chicago, Illinois
SAMEA120478552subject_idPatient_100R10.85sample.attr.host_subject_idPatient_100
SAMEA120478552timepoint_label01R10.70sample.name_rule:aliasMICU-077.01
Sequencing

1,877 runs over 1,877 samples · mean 2.25 Gbp per run (median 2.08 Gbp, total 4,229.25 Gbp; 1,877 runs with a base count) · layout PAIRED 1,877 · platform ILLUMINA 1,877 · models Illumina NovaSeq 6000 (1,290), NextSeq 2000 (538), Illumina HiSeq 4000 (21), Illumina MiniSeq (15), NextSeq 500 (13) · 98% of runs with a Sandpiper profile · first public 2025-12-01

Authors (14)

Cole CG first · Zhang ZJ · Dommaraju SR · Dong Q · Pope RL · Son SS · McSpadden EJ · Woodson CK · Lin H · Dylla NP · Sidebottom AM · Sundararajan A · Mitchell DA · Pamer EG last

Downloads

PRJEB102033.csv.gz (55.0 KB) · parquet (146.5 KB) — all 1,877 samples, every field with route and confidence · PRJEB102033_determinations.csv.gz (131.0 KB) — 16,543 evidence rows

Samples (1,877 · every field this project has values for · hover a cell for its source)
Loading the sample table…