ArticleInternational journal of molecular sciences2017
Determination of Highly Sensitive Biological Cell Model Systems to Screen BPA-Related Health Hazards Using Pathway Studio.
Article in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Aromatase reduces sperm motility by down-regulating the expression of proteins related to ATP synthesis in seminal plasma extracellular vesicles.BMC genomics · 2025Article
- A comprehensive review on potential role of selenium, selenoproteins and selenium nanoparticles in male fertility.Heliyon · 2024Review
- Proteomic analysis of fipronil-induced molecular defects in spermatozoa.Scientific reports · 2024Article
- The impact of the endocrine-disrupting chemicals on the glucose-6-phosphate dehydrogenase enzyme activity.Frontiers in pharmacology · 2023Article
- Article
- Pistacia integerrima alleviated Bisphenol A induced toxicity through Ubc13/p53 signalling.Molecular biology reports · 2020Article
- Understanding the molecular mechanisms of bisphenol A action in spermatozoa.Clinical and experimental reproductive medicine · 2019Review
- Effect of antioxidants on BPA-induced stress on sperm function in a mouse model.Scientific reports · 2019Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bisphenol-A (BPA) is a ubiquitous endocrine-disrupting chemical. Recently, many issues have arisen surrounding the disease pathogenesis of BPA. Therefore, several studies have been conducted to investigate the proteomic biomarkers of BPA that are associated with disease processes. However, studies on identifying highly sensitive biological cell model systems in determining BPA health risk are lacking. Here, we determined suitable cell model systems and potential biomarkers for predicting BPA-mediated disease using the bioinformatics tool Pathway Studio. We compiled known BPA-mediated diseases in humans, which were categorized into five major types. Subsequently, we investigated the differentially expressed proteins following BPA exposure in several cell types, and analyzed the efficacy of altered proteins to investigate their associations with BPA-mediated diseases. Our results demonstrated that colon cancer cells (SW480), mammary gland, and Sertoli cells were highly sensitive biological model systems, because of the efficacy of predicting the majority of BPA-mediated diseases. We selected glucose-6-phosphate dehydrogenase (G6PD), cytochrome b-c1 complex subunit 1 (UQCRC1), and voltage-dependent anion-selective channel protein 2 (VDAC2) as highly sensitive biomarkers to predict BPA-mediated diseases. Furthermore, we summarized proteomic studies in spermatozoa following BPA exposure, which have recently been considered as another suitable cell type for predicting BPA-mediated diseases.
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