Omics · study · 2026
Evidence of a gut-adipose-liver axis: microbiota encroachment in metabolic dysfunction-associated steatotic liver disease
Listed in NCBI GEO
Metabolic dysfunction-associated steatotic liver disease (MASLD) affects ~40% of adults, but causal mechanisms remain elusive.
Description
Preclinical models implicate the gut microbiota in MASLD pathogenesis, yet translation to humans is hampered by instability and variability in microbial composition. We addressed these gaps by investigating whether stable, quantitative gut phenotypes including microbiota encroachment are pathological features of MASLD.
Sigmoid colon biopsies were collected from participants with and without imaging-defined MASLD. Mucus immunostaining was paired with fluorescent in situ hybridization to image and quantify the distance separating bacteria from the colonic epithelium (i.e., encroachment). Secondary outcomes included intestinal permeability, colon histopathology, and estimates of central and adipose tissue insulin resistance (Adipo-IR).
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RNA-sequencing was combined with weighted gene network correlation analysis to explore relationships between colonic gene expression and clinical endpoints. Microbiota encroachment did not differentiate participants with MASLD from controls. Circulating lipopolysaccharide and flagellin-specific immunoglobulins (i.e., intestinal permeability), and colon histopathology were similar across cohorts.
Adipo-IR and microbiota encroachment were related to a colonic gene network regulating insulin and lipid metabolism. Pathway analysis of this network revealed genes involved in hepatic steatosis and fibrosis, suggesting a gut-adipose-liver crosstalk.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE282nnn/GSE282757 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE282757 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1190373 ncbi.nlm.nih.gov/bioproject/PRJNA1190373 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Disease 75% · Food sciences 69% · Image 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE282757 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:group:3006 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (69%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:image | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |