Authors:

Ximena Cortes Vergara

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About Paper:

Perfluorooctane Sulfonate (PFOS) belongs to a class of chemicals known as Per- and polyfluoroalkyl substances (PFAS) which are highly abundant in the environment due to their prevalence in various industrial products. Studies have reported numerous lipid metabolites such as glycerophospholipids, fatty acids and carnitines associated with PFAS exposure. In this study we hypothesize that lipid metabolism is affected by PFAS exposure, and we will investigate changes at transcriptome and metabolite level. We will employ computational approaches to generate genome-scale metabolic networks of rat brain to investigate tissue- specific metabolic signatures associated with the exposure to PFOS. We have collected 91 microarray transcriptomic datasets for Rattus norvegicus from GEO public database and used it for metabolic network construction. Our analysis approach includes use of Limma for normalization of expression datasets and use of Recon3 genome-scale model of human as a template to generate tissue-specific metabolic networks using mCADRE. Using experimental data from rats, we will be able to investigate gene and metabolite changes in the brain under control and PFOS-exposed conditions. Transcriptomics and metabolomics data will be integrated with the metabolic networks to identify changes in levels of cholesterol, primary and secondary bile acids associated with PFOS-exposure and linking to neurotoxicity. We aim to analyze the genes and metabolites in lipid pathways from our study, with the intention of translating our findings to human. We will use the data from AD Knowledge portal and correlate our findings in cognitively normal and Alzheimer's disease (AD) patients' data. Keywords: PFOS; iRatBrain; Lipid Metabolism

Source:

Purdue University / 2025

Topics:

No topics listed

Co-authors:

Ximena Cortes Vergara