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PRJEB52891 ERP137643

Oral-gut microbiome in cirrhosis severity, case-control

Oral-gut microbiome interactions in advanced cirrhosis: characterisation of pathogenic enterotypes and salivatypes, virulence factors and antimicrobial resistance

186 paired saliva and faecal samples from healthy controls and patients with stable cirrhosis, decompensated cirrhosis, acute-on-chronic liver failure, or severe infection without cirrhosis, studying oral-gut microbiome overlap and metabolism; case-control design. machine-written summary

186 samples · 186 runs · Adult · 2024 · 12.37 Gbp / sample · cohort Microbial collagenase activity is linked to oral-g

Sources
✓Sequence archive 182○Abstract / description○Full text✓Supplementary tables 630–External resources–User contribution–Human verified

Checked this project's papers and archive records yourself? Mark it human-verified.

what each source gave
✓ Sequence archive182 sample values (subject id)
○ Abstract / descriptionread; no usable statement
○ Full textread; no usable statement or table · PMC12768972, PMC13377410
✓ Supplementary tables630 sample values (age, antibiotic exposure, health condition, health condition detail, sex)
– 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
Age
adult175
elderly11
Condition
liver_disease141
healthy_control27
sepsis_or_infection14
Sex
male122
female60
Body site
unknown186
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: 22 samplesall projects, 10–30 Gbp: 72,533 samples (13 %)this project, 10–30 Gbp: 164 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 12.37 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

70 of 112 people sampled more than once (140 samples; median 2, up to 2 per person).

How longitudinal and relatedness information is derived

Community composition
Streptococcus 7.5%Veillonella 6.5%Prevotella 5.8%Bacteroides 4.3%Bifidobacterium 4.0%Phocaeicola 3.8%Rothia 3.5%Escherichia 3.1%Enterococcus_B 2.7%Blautia_A 2.5%Roseburia 1.9%Neisseria 1.9%not assigned to a genus 5.7%other genera 46.8%

Genera, mean relative abundance over 164 profiled gut samples of this project (Sandpiper SingleM profiles, GTDB R232; low-depth and non-metagenome profiles left out).

Field coverage
fieldsamplescoverageR1R2R3R4
age_category186 100%
country0 0%
health_condition182 98%182
subject_id182 98%182
health_condition_detail182 98%182
sex182 98%182
age_at_collection_days42 23%42
antibiotic_exposure42 23%42
Papers (3)
  • Pathogenic entero- and salivatypes harbour changes in microbiome virulence and antimicrobial resistance genes with increasing chronic liver disease severity 2023 own_data
  • Microbial collagenase activity is linked to oral-gut translocation in advanced chronic liver disease. 2026 PMID 41461922 PMC12768972 unsure
  • Integrative host-microbiome modeling uncovers the implication of oral-gut translocation in advanced cirrhosis. 2026 PMID 42491347 PMC13377410 unsure
Details
Archive description

Cirrhosis complications are often triggered by bacterial infections with multidrug-resistant organisms. Alterations in the gut and oral microbiome in decompensated cirrhosis (DC) influence clinical outcomes. We interrogated: (i) gut and oral microbiome community structures, (ii) virulence factors (VFs) and antimicrobial resistance genes (ARGs) and (iii) oral-gut microbial overlap in patients with differing cirrhosis severity. Fifteen healthy controls (HCs), as well as 26 patients with stable cirrhosis (SC), 46 with DC, 14 with acute-on-chronic liver failure (ACLF) and 14 with severe infection without cirrhosis participated. Metagenomic sequencing was undertaken on paired saliva and faecal samples. ‘Salivatypes’ and ‘enterotypes’ based on genera clustering were assessed against cirrhosis severity and clinical parameters. VFs and ARGs were evaluated in oral and gut niches, and distinct resistotypes identified. Salivatypes and enterotypes revealed a greater proportion of pathobionts with concomitant reduction in autochthonous genera with increasing cirrhosis severity and hyperammonaemia. Increasing overlap between oral and gut microbiome communities was observed in DC and ACLF vs. SC and HCs, independent of antimicrobial, beta-blocker and gastric acid-suppressing therapies. Two distinct gut microbiome clusters harboured genes encoding for the PTS (phosphoenolpyruvate:sugar phosphotransferase system) and other VFs in DC and ACLF. Substantial ARGs (oral: 1,218 and gut: 672) were detected (575 common to both sites). The cirrhosis resistome was distinct, with three oral and four gut resistotypes identified, respectively.

How this project entered the registry

Classified as human gut / stool / oral cavity / blood / tissue / internal fluids 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 · “Oral- gut microbiome interactions in”
  • body site study.description · “Alterations in the gut and oral microbiome”
  • body site study.title · “Oral -gut microbiome interactions”
  • body site study.description · “the gut and oral microbiome in decompensated”
  • body site study.description · “14 with acute-on-chronic liver failure (ACLF) and”
  • life stage external_curation.infant_catalog · “infant triage reason_code age_adult_only”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMEA14408392age_at_collection_days23010.8R20.75paper.supp.41564_2025_2223_MOESM4_ESM.xlsx[patient info][age]363: age = 63
SAMEA14408392antibiotic_exposureyesR20.75paper.supp.41564_2025_2223_MOESM4_ESM.xlsx[patient info][receive_antibiotic]363: receive_antibiotic = 1
SAMEA14408380health_conditionliver_diseaseR20.75paper.supp.41564_2025_2223_MOESM4_ESM.xlsx[metadata table][disease_state]193: disease_state = cACLD
SAMEA14408380health_condition_detailcACLDR20.75paper.supp.41564_2025_2223_MOESM4_ESM.xlsx[metadata table][disease_state]193: disease_state = cACLD
SAMEA14408380sexmaleR20.75paper.supp.41564_2025_2223_MOESM4_ESM.xlsx[patient info][gender]193: gender = male
SAMEA14408380subject_id193R10.70sample.name_rule:DESCRIPTIONDESCRIPTION: 193fecal in STABLE
SAMEA14408396subject_id440R10.70sample.name_rule:TITLETITLE: 440fecal
Sequencing

186 runs over 186 samples · mean 12.48 Gbp per run (median 12.37 Gbp, total 2,321.75 Gbp; 186 runs with a base count) · layout PAIRED 186 · platform ILLUMINA 186 · models Illumina NovaSeq 6000 (186) · 88% of runs with a Sandpiper profile · first public 2024-12-02

Authors (46)

Jin S first · Cenier A · Wetzel D · Arefaine B · Moreno-Gonzalez M · Stamouli M · Mohamad M · Lupatsii M · Ríos E · Lee S · Zamalloa A · Chokshi S · Mardinoglu A · Shoaie S · Beraza N · Patel VC · Schirmer M last · Jin Y first · Clasen F · Garcia-Guevara F · Arif S · Schierwagen R · Bidkhori G · Praktiknjo M · Brol MJ · Uschner FE · Castelli FA · Pons N · Quinquis B · Galleron N · Da Silva K · Junot C · Shawcross DL · Moyes DL · Jalan R · Ehrlich SD · Trebicka J · Begum N · Witherden E · Harzandi A · Cai H · Edwards LA · Williams R · Proctor G · Moyes D · Uhlen M

Downloads

PRJEB52891.csv.gz (5.9 KB) · parquet (77.1 KB) — all 186 samples, every field with route and confidence · PRJEB52891_determinations.csv.gz (9.1 KB) — 812 evidence rows

Samples (186 · every field this project has values for · hover a cell for its source)
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