In Silico Computational Transcriptomics Reveals Novel Endocrine Disruptors in Largemouth Bass (<i>Micropterus salmoides</i>)

Basili, Danilo; Zhang, Jiliang; Herbert, John; Kroll, Kevin J.; Denslow, Nancy D.; Martyniuk, Christopher J.; Falciani, Francesco; Antczak, Philipp

doi:10.1021/acs.est.8b02805

Cited by 13 publications

(4 citation statements)

References 85 publications

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“…First, a dynamic model representing the development of healthy ovaries from unexposed fish was constructed, and the responses of the transcriptomes from fish collected from polluted areas were mapped to enable the identification of clusters of genes affected at different stages of ovarian development. Then, using a robust database that provides information on chemical interaction with genes, proteins, and diseases (Comparative Toxicogenomic Database), potential chemicals associated with specific molecular responses on the ovary were identified (155). Another study, applied the QSAR method utilizing chemical features and mode of action to predict acute toxicity effects of EDCs in fish.…”

Section: Qsar/structural Alertsmentioning

confidence: 99%

Experimental Approaches for Characterizing the Endocrine-Disrupting Effects of Environmental Chemicals in Fish

2021

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Increasing industrial and agricultural activities have led to a disturbing increase of pollutant discharges into the environment. Most of these pollutants can induce short-term, sustained or delayed impacts on developmental, physiological, and behavioral processes that are often regulated by the endocrine system in vertebrates, including fish, thus they are termed endocrine-disrupting chemicals (EDCs). Physiological impacts resulting from the exposure of these vertebrates to EDCs include abnormalities in growth and reproductive development, as many of the prevalent chemicals are capable of binding the receptors to sex steroid hormones. The approaches employed to investigate the action and impact of EDCs is largely dependent on the specific life history and habitat of each species, and the type of chemical that organisms are exposed to. Aquatic vertebrates, such as fish, are among the first organisms to be affected by waterborne EDCs, an attribute that has justified their wide-spread use as sentinel species. Many fish species are exposed to these chemicals in the wild, for either short or prolonged periods as larvae, adults, or both, thus, studies are typically designed to focus on either acute or chronic exposure at distinct developmental stages. The aim of this review is to provide an overview of the approaches and experimental methods commonly used to characterize the effects of some of the environmentally prevalent and emerging EDCs, including 17 α-ethinylestradiol, nonylphenol, BPA, phthalates, and arsenic; and the pervasive and potential carriers of EDCs, microplastics, on reproduction and growth. In vivo and in vitro studies are designed and employed to elucidate the direct effects of EDCs at the organismal and cellular levels, respectively. In silico approaches, on the other hand, comprise computational methods that have been more recently applied with the potential to replace extensive in vitro screening of EDCs. These approaches are discussed in light of model species, age and duration of EDC exposure.

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Section: Qsar/structural Alertsmentioning

confidence: 99%

Experimental Approaches for Characterizing the Endocrine-Disrupting Effects of Environmental Chemicals in Fish

2021

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“…In Chinese hamster ovarian cells, QUR negatively affected the genetic stability of the cells, including chromosomal aberration and micronuclei (Carver et al, 1983; Engen et al, 2015). Using computational transcriptomics, the ovarian gene transcription, physiological endpoints, and endocrine disruptors (EDs) can be associated and QUR as an ED can perturb the development of largemouth bass ovary (Basili et al, 2018). Hence, it seems that QUR may have some negative effects on the special conditions and species.…”

Section: In Vitro and In Vivo Studiesmentioning

confidence: 99%

Overview of biological effects of Quercetin on ovary

Rashidi

Khosravizadeh

Talebi

et al. 2020

Phytotherapy Research

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Over the last few decades, using natural products has been increased to treat different diseases. Today, great attention has been pointed toward the usage of natural products such as flavonoids, especially Quercetin (QUR), in the treatment of diseases. QUR as a natural antioxidant has been traditionally used to prevent or treat a variety of diseases such as cancer, cardiovascular disease, polycystic ovary syndrome (PCOS), obesity, chronic inflammation, and reproductive system dysfunction. Several studies demonstrated that QUR acts as an anti‐inflammatory, anti‐apoptotic, antioxidant, and anticancer agent. With this in view, in this study, we intended to describe an overview of the biological effects of QUR on the ovary. QUR improves the quality of oocytes and embryos. It affects the proliferation and apoptosis and decreases the oxidative stress in granulosa cells (GCs). Furthermore, QUR can be used as a complementary and alternative therapy in ovarian cancer and it has beneficial effects in the treatment of PCOS patients. It seems that QUR as a supplementary factor has different activities for the treatment of different disorders and it also has bidirectional activities. However, further investigations are needed for understanding the efficacy of QUR in the treatment and improvement of gynecological patients.

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“…This model correlates gene transcription with key physiological end points and has been used to screen potential compounds that may disrupt the network. 16 Network-based analysis methods have also been successfully applied to placenta tissue. The results revealed that using the network-based transcriptome data analysis method to construct placental gene networks can elucidate the molecular mechanisms of fetal growth.…”

Section: ■ Introductionmentioning

confidence: 99%

“…Similarly, another study has established a dynamic network model for ovarian development. This model correlates gene transcription with key physiological end points and has been used to screen potential compounds that may disrupt the network . Network-based analysis methods have also been successfully applied to placenta tissue.…”

Section: Introductionmentioning

confidence: 99%

A Data-Driven Computational Framework for Assessing the Risk of Placental Exposure to Environmental Chemicals

Guan,

Cai,

Guo

et al. 2024

Environ. Sci. Technol.

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A computational framework based on placental gene networks was proposed in this work to improve the accuracy of the placental exposure risk assessment of environmental compounds. The framework quantitatively characterizes the ability of compounds to cross the placental barrier by systematically considering the interaction and pathway-level information on multiple placental transporters. As a result, probability scores were generated for 307 compounds crossing the placental barrier based on this framework. These scores were then used to categorize the compounds into different levels of transplacental transport range, creating a gradient partition. These probability scores not only facilitated a more intuitive understanding of a compound's ability to cross the placental barrier but also provided valuable information for predicting potential placental disruptors. Compounds with probability scores greater than 90% were considered to have significant transplacental transport potential, whereas those with probability scores less than 80% were classified as unlikely to cross the placental barrier. Furthermore, external validation set results showed that the probability score could accurately predict the compounds known to cross the placental barrier. In conclusion, the computational framework proposed in this study enhances the intuitive understanding of the ability of compounds to cross the placental barrier and opens up new avenues for assessing the placental exposure risk of compounds.

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In Silico Computational Transcriptomics Reveals Novel Endocrine Disruptors in Largemouth Bass (Micropterus salmoides)

Cited by 13 publications

References 85 publications

Experimental Approaches for Characterizing the Endocrine-Disrupting Effects of Environmental Chemicals in Fish

Experimental Approaches for Characterizing the Endocrine-Disrupting Effects of Environmental Chemicals in Fish

Overview of biological effects of Quercetin on ovary

A Data-Driven Computational Framework for Assessing the Risk of Placental Exposure to Environmental Chemicals

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