Gut microbiome in hepatitis D infection vs healthy controls
67 stool samples from a cross-sectional shotgun metagenomic/metatranscriptomic study comparing HDV-infected patients with healthy controls, examining microbial composition and functional pathway changes. machine-written summary
67 samples · 67 runs · US · Age unknown · 2026 · 10.16 Gbp / sample
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 335 sample values (collection date, country, health condition, health condition detail, subject id) |
| ○ Abstract / description | read; no usable statement |
| ○ Full text | read; no usable statement or table · PMC13393096 |
| – Supplementary tables | no supplementary tables available (or none open access) |
| – 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 |
No Sandpiper profile for this project's samples yet.
| field | samples | coverage | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|---|
| age_category | 0 | 0% | ||||
| country | 67 | 100% | 67 | |||
| health_condition | 67 | 100% | 67 | |||
| subject_id | 67 | 100% | 67 | |||
| collection_date | 67 | 100% | 67 | |||
| health_condition_detail | 67 | 100% | 67 |
- Chronic hepatitis D infection is associated with distinguishing microbial and functional features in the gut microbiome. 2026 PMID 42495136 PMC13393096 cites_accession
Archive description
Background and Aims: The microbiome of patients with hepatitis D virus (HDV) has yet to be characterized. The aims of this study were to 1) characterize the microbial composition of the gut microbiome, 2) identify the functional profile of the gut microbiome, 3) determine the microbial species that contributed to the changes in pathway expression, and 4) correlate the changes in the gut microbiome with established markers of disease severity.</p><p>Approach and Results: Stool, peripheral blood, and liver biopsy samples were collected from 35 HDV-infected patients. Stool samples were collected from 32 healthy controls (HCs). DNA and RNA were isolated from stool and sequenced by shotgun-sequencing. Microbial and functional profiles were compared between the HDV-cohort and HCs to identify disease-specific alterations to the gut microbiome. Clinical metadata were used to identify correlations with disease severity. There were significant changes in the composition of the gut microbiome in HDV-infected patients as compared with HCs, spanning multiple bacterial phyla. Four genera, correlated with portal pressure, an important marker of disease severity. Expression of 194 pathways was significantly increased in the HDV group. Several microbial species, including Bacteroides fragilis, Cateibacterium mitsuokai, and Faecalibacterium prausnitzii, were identified as contributing to the altered functional profile of the HDV group.</p><p>Conclusions: Many of the differences in microbial composition between the HDV and HC groups have previously been identified in other diseases. Several of the identified microbes have been shown to promote adaptive or innate immune responses. Several pathways that were upregulated in the HDV cohort were related to amino acid and carbohydrate biosynthesis or involved important cofactors and carriers, indicating a possible broader dysregulation of energy metabolism in early disease.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of age unknown by opus_adjudicated with confidence 0.80. Assay shotgun_dna.
- host study.title · “Patients Infected with the Hepatitis D Virus”
- body site study.description · “Stool samples were collected from 32 healthy controls”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN43035125 | collection_date | 2021-04-21 | R1 | 0.85 | biosample.attribute:collection_date | 2021-04-21 |
| SAMN43035125 | country | US | R1 | 0.85 | biosample.attribute:geo_loc_name | USA: Rockville MD |
| SAMN43035125 | health_condition | healthy_control | R1 | 0.85 | biosample.attribute:sample_type | Control |
| SAMN43035125 | health_condition_detail | Control | R1 | 0.85 | biosample.attribute:sample_type | Control |
| SAMN43035125 | subject_id | 101 | R1 | 0.85 | biosample.attribute:sample_number | 101 |
Sequencing
67 runs over 67 samples · mean 10.13 Gbp per run (median 10.16 Gbp, total 678.67 Gbp; 67 runs with a base count) · layout PAIRED 67 · platform ILLUMINA 67 · models Illumina NovaSeq 6000 (67) · 0% of runs with a Sandpiper profile · first public 2026-07-02
Authors (0)
No author record.
Downloads
PRJNA1144402.csv.gz (2.9 KB) · parquet (72.7 KB) — all 67 samples, every field with route and confidence · PRJNA1144402_determinations.csv.gz (3.5 KB) — 335 evidence rows