Metagenomes in European NAFLD Registry case-control cohort
173 fecal samples from liver-biopsied adults (20 controls, 22 NAFLD, 131 NASH) in the European NAFLD Registry, studying gut microbial signatures across NAFLD/NASH severity in a case-control design. machine-written summary
173 samples · 173 runs · FR · Adult · 2023 · 7.22 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 326 sample values (health condition, health condition detail) |
| ✓ Abstract / description | 173 sample values (subject id) |
| ○ Full text | read; no usable statement or table · PMC13042768, PMC13289106 |
| ○ Supplementary tables | files read; no table could be matched to the samples |
| ✓ External resources | 173 sample values (country) · from GMrepo v3 |
| – User contribution | nothing uploaded yet |
| – Human verified | not yet checked by a person · I checked this project — verify it |
health condition: sequence archive and GMrepo disagree for 20 samples (e.g. cardiometabolic_other vs healthy_control) — withheld.
The sources disagree on 20 samples. Where two incompatible values exist for one sample (or one person's samples disagree on sex), neither value is published: the field is left empty here, in the sample sheet and in the downloads. Both sides, with their sources, are in gut_metadata_contradictions.parquet of the data package (what counts as a contradiction).
Contradicted values (20)
| sample | field | value | other value | handling |
|---|---|---|---|---|
| SAMEA110695544 | health condition | cardiometabolic_other (sequence archive) | healthy_control (GMrepo) | withheld: neither value published |
| SAMEA110695608 | health condition | cardiometabolic_other (sequence archive) | healthy_control (GMrepo) | withheld: neither value published |
| SAMEA110695609 | health condition | cardiometabolic_other (sequence archive) | healthy_control (GMrepo) | withheld: neither value published |
| SAMEA110695610 | health condition | cardiometabolic_other (sequence archive) | healthy_control (GMrepo) | withheld: neither value published |
| SAMEA110695612 | health condition | cardiometabolic_other (sequence archive) | healthy_control (GMrepo) | withheld: neither value published |
| SAMEA110695613 | health condition | cardiometabolic_other (sequence archive) | healthy_control (GMrepo) | withheld: neither value published |
| SAMEA110695614 | health condition | cardiometabolic_other (sequence archive) | healthy_control (GMrepo) | withheld: neither value published |
| SAMEA110695615 | health condition | cardiometabolic_other (sequence archive) | healthy_control (GMrepo) | withheld: neither value published |
| SAMEA110695616 | health condition | cardiometabolic_other (sequence archive) | healthy_control (GMrepo) | withheld: neither value published |
| SAMEA110695617 | health condition | cardiometabolic_other (sequence archive) | healthy_control (GMrepo) | withheld: neither value published |
| SAMEA110695618 | health condition | cardiometabolic_other (sequence archive) | healthy_control (GMrepo) | withheld: neither value published |
| SAMEA110695619 | health condition | cardiometabolic_other (sequence archive) | healthy_control (GMrepo) | withheld: neither value published |
| SAMEA110695620 | health condition | cardiometabolic_other (sequence archive) | healthy_control (GMrepo) | withheld: neither value published |
| SAMEA110695621 | health condition | cardiometabolic_other (sequence archive) | healthy_control (GMrepo) | withheld: neither value published |
| SAMEA110695623 | health condition | cardiometabolic_other (sequence archive) | healthy_control (GMrepo) | withheld: neither value published |
| SAMEA110695624 | health condition | cardiometabolic_other (sequence archive) | healthy_control (GMrepo) | withheld: neither value published |
| SAMEA110695625 | health condition | cardiometabolic_other (sequence archive) | healthy_control (GMrepo) | withheld: neither value published |
| SAMEA110695626 | health condition | cardiometabolic_other (sequence archive) | healthy_control (GMrepo) | withheld: neither value published |
| SAMEA110695648 | health condition | cardiometabolic_other (sequence archive) | healthy_control (GMrepo) | withheld: neither value published |
| SAMEA110695651 | health condition | cardiometabolic_other (sequence archive) | healthy_control (GMrepo) | withheld: neither value published |
Genera, mean relative abundance over 157 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 | 173 | 100% | ||||
| country | 173 | 100% | 173 | |||
| health_condition | 153 | 88% | 153 | |||
| subject_id | 173 | 100% | 173 | |||
| health_condition_detail | 173 | 100% | 173 |
- The Gut Commensal Butyricimonas Virosa Modulates Gut Microbiota-Dependent Thiamine Metabolism and Attenuates Mouse Steatotic Liver Disease. 2026 PMID 41560354 PMC13042768 own_data
- <i>Turicibacter sanguinis</i> is a candidate gut microbial pathobiont that promotes metabolic dysfunction-associated steatohepatitis. 2026 PMID 42148776 PMC13289106 own_data
Archive description
Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease in developed countries, and its prevalence continues to rise in association with the global obesity and diabetes pandemic. While liver biopsy is recognized as the diagnostic standard, it is assumed that this condition is underdiagnosed and that there is a need for new non-invasive methods of NAFLD diagnosis. Murine studies with fecal transfer experiment suggest that the gut microbiota plays a role in NAFLD development. Moreover, with the emergence of next generation sequencing technologies, the microbiome hypothesis opens the door to use gut microbial signatures to diagnose NAFLD. We have analyzed the metagenomes of a cohort of 173 liver-biopsied patients (20 controls, 22 NAFLD, and 131 NASH) derived from the European NAFLD Registry. 16 microbial species are associated with different grades of the NAFLD spectrum, 5 with NAFLD, 6 with fibrosis, and 5 with both phenotypes. Among them, the abundance of species from the genus Alistipes, Oscillibacter were particularly modified. Functional exploration revealed a reduction in the number of microbial genes associated with amino acid degradation pathways, sugar catabolism, and the production of butyrate in the NAFLD progression grades. Finally, applying a recently developed machine learning approach (Predomics), we revealed that some microbial signatures provide predictive potential (AUROC values from 0.76 to 0.86), paving the way for the development of non-invasive tool using microbial signatures for NASH diagnosis.
How this project entered the registry
Classified as human gut / stool / 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.description · “Murine studies with fecal transfer experiment suggest”
- body site external_curation.infant_catalog · “body_site_call gut”
- body site study.description · “Non-alcoholic fatty liver disease (NAFLD) is”
- 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 |
|---|---|---|---|---|---|---|
| SAMEA110695544 | country | FR | R2 | 0.75 | external.gmrepo source | country: France |
| SAMEA110695545 | health_condition | cardiometabolic_other | R1 | 0.70 | biosample_attr | NAFLD grade: NAFL/Fibrosis stage <2 |
| SAMEA110695544 | health_condition_detail | NAFLD grade: Control/Fibrosis stage 0 | R1 | 0.90 | sample.attr.liver_disorder | NAFLD grade: Control/Fibrosis stage 0 |
| SAMEA110695544 | subject_id | SAMEA110695544 | R4 | 0.60 | design.one_sample_per_subject:description | a cohort of 173 liver-biopsied patients (20 controls, 22 NAFLD, and 131 NASH) |
Sequencing
173 runs over 173 samples · mean 7.36 Gbp per run (median 7.22 Gbp, total 1,273.71 Gbp; 173 runs with a base count) · layout PAIRED 173 · platform ILLUMINA 173 · models Illumina HiSeq 2500 (158), Illumina NovaSeq 6000 (15) · 91% of runs with a Sandpiper profile · first public 2023-07-12
Authors (33)
He N first · Wang H · Yang Z · Li H · Liu B · Chen K · Wu Z · Zhao X · Liang H · Wang M · Li X · Zhong Y · Zhang H · Xiao L · Kristiansen K · Peng J · Zou Y · Li S last · Guo J first · Xiang Zw · Hu Ff · Zhang Sx · Han Wj · Ding X · Wang X · Ye Ml · Chen Jh · Rao T · Wu Ll · Lian Gh · Zhang W · Huang Y · Chen Y last
Downloads
PRJEB55534.csv.gz (5.2 KB) · parquet (76.8 KB) — all 173 samples, every field with route and confidence · PRJEB55534_determinations.csv.gz (5.0 KB) — 672 evidence rows