Fecal metabolites and microbiome in liver disease, Chicago
Cross-sectional study of 122 fecal samples from hospitalized liver disease patients in Chicago, IL, analyzing microbiome composition and metabolites (butyrate, deoxycholic acid) in relation to disease severity and outcomes. machine-written summary
122 samples · 122 runs · US · Age unknown · 2024 · 3.05 Gbp / sample · cohort Fecal Butyrate and Deoxycholic Acid Concentrations
Checked this project's papers and archive records yourself? Mark it human-verified.
what each source gave
| ✓ Sequence archive | 974 sample values (collection date, country, latitude, location locality, location region, longitude, subject id, timepoint) |
| ✓ Abstract / description | 244 sample values (health condition, health condition detail) |
| ○ Full text | read; no usable statement or table · PMC12197998 |
| ○ 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 |
longitudinal
8 of 113 people sampled more than once (16 samples; median 2, up to 2 per person) · follow-up median 2 mo (max 14 mo) · median interval between samples 2 mo (time from collection dates).
Each row is one person (4 shown of 8); dots are samples at days since that person's first sample.
Genera, mean relative abundance over 106 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 | 0 | 0% | ||||
| country | 122 | 100% | 122 | |||
| health_condition | 122 | 100% | 122 | |||
| subject_id | 121 | 99% | 121 | |||
| collection_date | 122 | 100% | 122 | |||
| detailed_location | 122 | 100% | ||||
| health_condition_detail | 122 | 100% | 122 | |||
| latitude | 122 | 100% | 122 | |||
| location_locality | 122 | 100% | 122 | |||
| location_region | 122 | 100% | 122 | |||
| longitude | 122 | 100% | 122 | |||
| timepoint_label | 121 | 99% | 121 |
- Fecal Butyrate and Deoxycholic Acid Concentrations Correlate With Mortality in Patients With Liver Disease. 2025 PMID 40574876 PMC12197998 unsure
Archive description
This study explores the link between intestinal microbiome composition, fecal metabolites, and liver disease progression, focusing on butyrate and deoxycholic acid (DCA). The researchers analyzed fecal samples from 308 hospitalized liver disease patients, revealing that advanced liver disease correlates with reduced microbiome diversity and metabolite levels. Patients with higher microbiome diversity and elevated levels of butyrate and DCA were found to have better outcomes, including prolonged transplant-free survival and lower rehospitalization rates. These findings suggest that measuring butyrate and DCA could help identify patients at higher risk for complications, highlighting the metabolites' potential as indicators of liver disease severity.</p><p>The study emphasizes that butyrate and DCA concentrations decline as liver disease advances, with a corresponding loss of genetic pathways in the microbiome necessary for their production. Unlike traditional microbiome profiling, which can vary across studies, metabolomic profiling of butyrate and DCA provides a more consistent view of microbiome function, potentially enabling rapid identification of at-risk patients. The authors developed a cost-effective, combined assay for butyrate and DCA, which showed strong correlations with liver disease outcomes. This assay allows for faster, more reliable patient assessment, indicating that metabolite levels could serve as a basis for identifying those who might benefit from microbiome-targeted interventions.</p><p>The study suggests that therapies aiming to reintroduce beneficial metabolites and commensal bacteria, such as fecal microbiota transplants or probiotics, could help restore microbiome functions lost in liver disease. By identifying specific bacteria associated with butyrate and DCA production, the study offers guidance for future therapeutic designs aimed at replenishing these metabolites. However, the authors note that further clinical trials are needed to test these microbiome-targeted therapies' efficacy and safety. Overall, the findings point toward a promising strategy for managing liver disease through microbiome and metabolome restoration, potentially improving patient outcomes by targeting specific deficiencies in microbiome function.
How this project entered the registry
Classified as human gut / stool shotgun DNA metagenome of age unknown by opus_adjudicated with confidence 0.55. Assay shotgun_dna.
- host run.host_tax_id · “9606”
- body site study.description · “fecal samples from 308 hospitalized liver disease patients”
Evidence examples (one per field × route)
| sample | field | value | route | conf. | source | quote |
|---|---|---|---|---|---|---|
| SAMN44674170 | collection_date | 2023-02-13 | R1 | 0.90 | biosample.attribute:collection_date | 2023-02-13 |
| SAMN44674170 | country | US | R1 | 0.90 | sample.attr.geo_loc_name | USA: Chicago, IL |
| SAMN44674170 | health_condition | liver_disease | R4 | 0.50 | study.description | hospitalized liver disease patients |
| SAMN44674170 | health_condition_detail | liver disease (chronic, compensated cirrhosis, decompensated cirrhosis, acute-on-chronic liver failure) | R4 | 0.50 | study.description | hospitalized liver disease patients |
| SAMN44674170 | latitude | 41.8800 | R1 | 0.90 | biosample.attribute:lat_lon | 41.88 N 87.63 W |
| SAMN44674170 | location_locality | Chicago | R1 | 0.85 | biosample.attribute:geo_loc_name | USA: Chicago, IL |
| SAMN44674170 | location_region | Illinois | R1 | 0.75 | biosample.attribute:geo_loc_name | USA: Chicago, IL |
| SAMN44674170 | longitude | -87.6300 | R1 | 0.90 | biosample.attribute:lat_lon | 41.88 N 87.63 W |
| SAMN44674170 | subject_id | LD_015 | R1 | 0.70 | sample.name_rule:alias | LD_015_01 |
| SAMN44674170 | timepoint_label | 01 | R1 | 0.70 | sample.name_rule:alias | LD_015_01 |
Sequencing
122 runs over 122 samples · mean 3.36 Gbp per run (median 3.05 Gbp, total 409.70 Gbp; 122 runs with a base count) · layout PAIRED 122 · platform ILLUMINA 122 · models Illumina NovaSeq 6000 (122) · 88% of runs with a Sandpiper profile · first public 2024-11-17 – 2024-12-01
Authors (26)
Odenwald MA first · Ramaswamy R · Lin H · Lehmann C · Moran A · Mullowney MW · Sidebottom AM · Hernandez A · McMillin M · Rose A · Moran D · Little J · Sulakhe D · D'Souza M · Woodson C · Tanveer T · de Porto A · Dylla N · Sundararajan A · Burgo V · Cantoral J · Jadczak C · Adler E · Aronsohn A · Pamer EG · Rinella ME last
Downloads
PRJNA1184735.csv.gz (4.3 KB) · parquet (76.3 KB) — all 122 samples, every field with route and confidence · PRJNA1184735_determinations.csv.gz (9.6 KB) — 1,218 evidence rows