Back

Exposure to per- and polyfluoroalkyl substances elicits cell type-specific impacts on p53 and TGF-β signaling pathways

Ding, H.; Slack, M.; McClure, H.; Gu, W.; Nabinger, C.; Koviazina, R.; Gu, H.; Kappes, F.; Schultz, T.; Somarelli, J.; Tsigkou, A.

2025-05-03 molecular biology
10.1101/2025.05.03.652004 bioRxiv
Show abstract

Per- and polyfluoroalkyl substances (PFAS) are a class of synthetic chemicals extensively used as plastic additives. Their environmental persistence and potential for bioaccumulation have raised significant toxicological concerns. This study evaluates the cytotoxic and molecular effects of Perfluorooctanoic acid (PFOA) and its replacement compound, Perfluoro(2-methyl-3-oxohexanoic) acid (GenX), in human-derived skin (A375), liver (HepG2), kidney (SN12C), and colon (SW620) cell lines. The experimental design assessed cell viability, gene expression, and perturbations in key cellular stress pathways, with a particular focus on TGF-{beta}/SMAD-mediated inflammation and the p53-driven DNA damage response. Our results demonstrate compound- and cell-type-specific toxicity, with GenX displaying reduced cytotoxicity compared to PFOA across all cell types. Molecular analyses revealed that both PFAS compounds induced alterations in the TGF-{beta}/SMAD pathway, consistent with a pro-inflammatory cellular state. Additionally, we observed activation of the DNA damage response, as evidenced by increased expression of ATM, ATR, and p53, alongside ribosomal stress-related changes in RPL5 and RPL11. Notably, while skin and liver cells exhibited similar response profiles, kidney and colon cells showed divergent modulation of SMAD signaling, suggesting tissue-specific susceptibility and mechanistic differences. These findings contribute to a deeper understanding of the differential toxicological profiles of legacy and replacement PFAS, with implications for health risk assessment and regulatory policy. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=112 SRC="FIGDIR/small/652004v2_ufig1.gif" ALT="Figure 1"> View larger version (44K): org.highwire.dtl.DTLVardef@ce20aaorg.highwire.dtl.DTLVardef@c29608org.highwire.dtl.DTLVardef@1081ae6org.highwire.dtl.DTLVardef@11e0401_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Journal of Hazardous Materials
19 papers in training set
Top 0.1%
28.9%
2
Environment International
42 papers in training set
Top 0.1%
18.3%
3
Environmental Science & Technology
64 papers in training set
Top 0.4%
7.5%
50% of probability mass above
4
Environmental Science: Water Research & Technology
13 papers in training set
Top 0.1%
4.4%
5
PLOS ONE
4510 papers in training set
Top 37%
3.7%
6
Water Research
74 papers in training set
Top 0.6%
3.2%
7
Science of The Total Environment
179 papers in training set
Top 2%
2.6%
8
International Journal of Molecular Sciences
453 papers in training set
Top 5%
2.2%
9
Scientific Reports
3102 papers in training set
Top 54%
1.9%
10
Environmental Research
46 papers in training set
Top 0.8%
1.8%
11
Chemosphere
15 papers in training set
Top 0.3%
1.4%
12
Nature Communications
4913 papers in training set
Top 55%
1.3%
13
Environmental Pollution
35 papers in training set
Top 2%
0.8%
14
Food Chemistry
12 papers in training set
Top 0.5%
0.8%
15
Archives of Toxicology
14 papers in training set
Top 0.3%
0.7%
16
Microbiology Spectrum
435 papers in training set
Top 6%
0.7%
17
Journal of Nanobiotechnology
10 papers in training set
Top 0.3%
0.7%
18
Toxicological Sciences
38 papers in training set
Top 0.6%
0.7%
19
International Journal of Environmental Research and Public Health
124 papers in training set
Top 8%
0.5%
20
Nanoscale Advances
13 papers in training set
Top 0.7%
0.5%