PLoS Comput BiolJClub
Per- and polyfluoroalkyl substances and kidney disease: Genetic associations and computational prioritization of candidate toxicogenomic pathways.
PLOS Computational Biology · · Journal Article · Open access
Zeng, Wang + more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Genetically predicted higher PFOA and PFOS levels are linked to specific kidney disease risks, with PFOA associated with hypertensive nephropathy and calculus of kidney.
- Why it matters: Understanding how environmental pollutants like PFAS influence kidney disease is crucial due to their persistence and bioaccumulation, yet their toxicogenomic mechanisms remain unclear.
- What they did: The study used Mendelian randomization and computational toxicology on genetic data to identify associations between PFAS levels and kidney diseases, prioritizing pathways related to immune response, inflammation, and oxidative stress.
- The result: Findings highlight candidate genes and pathways, such as CTNNB1, TP53, and IL6, offering a framework for future experimental validation of PFAS-related kidney toxicity mechanisms.
The findingWhy it mattersWhat they didThe result
- Open access