Omics · study · 2026
Advancing probabilistic risk assessment of perfluorooctanoic acid through integration of in vitro data and physiologically based toxicokinetic modeling coupled with population-specific analysis
Listed in NCBI GEO
Current human health risk assessment for perfluorooctanoic acid (PFOA) has proven inadequate due to a lack of innovative approaches.
Description
Here, we applied benchmark dose-response modeling to derive benchmark concentrations (BMCs) for apical and transcriptomic changes in human endothelial cells EA.hy926 following both high-concentration short-term (48 h) and human-relevant long-term (6 and 12 weeks) PFOA exposures. BMCs were translated into human equivalent doses (HEDs) using a physiologically based toxicokinetic model.
Long-term exposure produced sensitive biological responses: 10th percentile HEDs for apical and transcriptomic data were 0.59 and 3.84 ng/kg bw/week, respectively, both below the estimated U.S. general population exposure level (9.91 ng/kg bw/week). Predicted 10th percentile HED thresholds in individuals with certain conditions were: end-stage renal disease 0.50 ng/kg bw/week, moderate to severe reductions in glomerular filtration rate 0.18–1.00 ng/kg bw/week, cirrhosis class A 0.18 ng/kg bw/week, NAFLD 0.79 ng/kg bw/week, and class 1 obesity 0.43 ng/kg bw/week, compared to healthy individuals (1.18 ng/kg bw/week), suggesting that PFOA can elicit adverse effects in endothelial cells at exposure levels below those currently experienced by the general population.
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Given the global prevalence of health conditions investigated in this study, a substantial portion of the population may face increased vulnerability to PFOA-induced health effects.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE336nnn/GSE336962 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE336962 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1483636 ncbi.nlm.nih.gov/bioproject/PRJNA1483636 ↗
project · from NCBI GEO
- PubMed 40752167 pubmed.ncbi.nlm.nih.gov/40752167 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Bioinformatics and computational biology 69% · Disease 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE336962 | 13 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:3102 | 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[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 |