Excel · study · 2026
Asialogycoprotein receptor subunit ASGR1a deficiency leads to cholesterol malabsorption in zebrafish on a high-cholesterol diet
Listed in NCBI GEO
One of the major pathways to clear glycoproteins from circulation is via the liver-specific asialoglycoprotein receptor (ASGPR).
Description
Recently, loss of asialoglycoprotein receptor 1 (ASGR1), the major subunit of ASGPR in humans, was found to correlate with lower levels of plasma apolipoprotein B-containing lipoproteins (B-lps) and a profound reduction in cardiovascular disease risk. However, the cell and molecular biology underlying this effect was unclear.
Given that rodents carry their cholesterol largely in HDL, we selected the zebrafish model to better understand the mechanism(s) of action of ASGR1. We first characterized all possible zebrafish ASGR1 orthologs to identify zebrafish ASGR1 (asgr1a) from a collection of lectin-binding proteins. We then generated two independent mutations in asgr1a using CRISPR/Cas9.
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Neither mutation altered larval, juvenile, or adult B-lp numbers or sizes. However, when challenged with a Western diet, asgr1a mutant zebrafish exhibited less hepatic steatosis and lower hepatic triglyceride levels compared to control animals. Asgr1a mutant animals also exhibited increased levels of fecal cholesterol, which we found was due to malabsorption after a meal and upregulation of liver proteins known to be involved in B-lp metabolism (e.g. MTP, APOA4).
These data are consistent with the atheroprotective role of ASGR1 and reveal a previously unappreciated role for ASGR1 in modulating whole animal cholesterol flux.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE330nnn/GSE330025 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE330025 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1462572 ncbi.nlm.nih.gov/bioproject/PRJNA1462572 ↗
project · from NCBI GEO
- PubMed 42264088 pubmed.ncbi.nlm.nih.gov/42264088 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Danio rerio · Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Cardiovascular disease 75% · Disease 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE330025 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cardiovascular-disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[disease].local:disease:disease | 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:7955 | 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 |