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An environmentally relevant mixture of Perfluoroalkyl Substances (PFAS) impacts proliferation, steroid hormone synthesis, and gene transcription in primary human granulosa cells

GSE246371 Homo sapiens Expression profiling by high throughput sequencing 12 samples 2024/07/03 GPL20301
Summary
Perfluoroalkyl substances (PFAS) are a group of synthetic chemicals that are resistant to biodegradation and are environmentally persistent. PFAS are found in many consumer products including non-stick cookware, food packaging materials, upholstery, and personal care products. Accordingly, PFAS are a major source of water and soil contamination. Although use of many PFAS have been phased out, they continue to be detected in human and animal fluids, including human follicular fluid. This study investigated the effects of an environmentally relevant PFAS mixture [perfluorooctanoic acid (PFOA), perfluorooctanesulfonic acid (PFOS), perfluorohexanesulfonic acid (PFHxS)] on the transcriptome and function of human granulosa cells (hGCs). PFOA, PFOS, and PFHxS were detected in 100% of follicle fluid samples. Increased cell proliferation was observed in hGCs treated with the PFAS mixture with no impacts on cellular apoptosis. The PFAS mixture also altered steroid hormone synthesis, increasing both FSH-stimulated and basal progesterone secretion and concomitant upregulation of STAR protein. RNA sequencing revealed inherent differences in transcriptomic profiles in hGCs after PFAS exposure. This study demonstrates functional and transcriptomic changes in hGCs after exposure to a PFAS mixture, improving our knowledge about the impacts of PFAS exposures and female reproductive health. These findings suggest that PFAS compounds have the potential to disrupt normal granulosa cell function with possible long-term consequences on overall reproductive health.
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NCBI GEO page ↗ Paper (PMID 38603627) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more human RNA-seq datasets →
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