Omics · study · 2026
High Fat Diet-Induced PPARα Suppression Disrupts Mitochondrial Bioenergetics and Fuels ROS-NF-κB-driven Colorectal Tumorigenesis
Listed in NCBI GEO
High-fat diet (HFD) is an established risk factor for colorectal cancer (CRC), yet the epithelial-intrinsic mechanisms that translate chronic lipid stress into malignant transformation remain poorly understood.
Description
Here, we integrated epidemiological analysis of the National Health and Nutrition Examination Survey (NHANES), multi-omics Mendelian randomization (MR), a murine colitis-related cancer model, and human colonic epithelial cells to investigate the role of the lipid sensor peroxisome proliferator-activated receptor α (PPARα) in HFD-associated CRC.
Self-reported high-fat dietary behavior was associated with increased CRC risk (OR = 2.43, 95% CI 1.08–5.49, P = 0.033), and MR analyses indicated that genetically predicted PPARα levels were negatively associated with CRC risk. In both human transcriptomes and HFD-fed mice, HFD suppressed colonic PPARα and its fatty-acid oxidation network, impairing oxidative phosphorylation, depolarizing the mitochondrial membrane potential, and driving excessive mitochondrial reactive oxygen species (ROS) that hyperactivated NF-κB signaling.
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PPARα overexpression rescued these defects, whereas knockdown recapitulated them. Pharmacological reactivation of PPARα with the FDA-approved agonist fenofibrate restored mitochondrial bioenergetics, attenuated ROS–NF-κB signaling, and reduced tumor burden to control levels in HFD-fed AOM/DSS mice. Collectively, HFD-driven PPARα deficiency initiates a mitochondrion–ROS–NF-κB cascade that sustains a pro-tumorigenic inflammatory microenvironment, identifying PPARα as a candidate druggable target in HFD-related CRC and supporting fenofibrate repurposing as a metabolic interception strategy.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE344nnn/GSE344709 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE344709 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1516579 ncbi.nlm.nih.gov/bioproject/PRJNA1516579 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Mus musculus
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE344709 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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[organism].NCBITaxon:10090 | 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 |