Female Reproduction: At the Crossroads of Endocrine Disruptors and Epigenetics

Author(s):  
Subhasri Biswas ◽  
Soumyajyoti Ghosh ◽  
Sriparna Das ◽  
Sudipta Maitra
2019 ◽  
Vol 101 (3) ◽  
pp. 635-644 ◽  
Author(s):  
Saniya Rattan ◽  
Jodi A Flaws

AbstractHumans and animals are repeatedly exposed to endocrine disruptors, many of which are ubiquitous in the environment. Endocrine disruptors interfere with hormone action; thus, causing non-monotonic dose responses that are atypical of standard toxicant exposures. The female reproductive system is particularly susceptible to the effects of endocrine disruptors. Likewise, exposures to endocrine disruptors during developmental periods are particularly concerning because programming during development can be adversely impacted by hormone level changes. Subsequently, developing reproductive tissues can be predisposed to diseases in adulthood and these diseases can be passed down to future generations. The mechanisms of action by which endocrine disruptors cause disease transmission to future generations are thought to include epigenetic modifications. This review highlights the effects of endocrine disruptors on the female reproductive system, with an emphasis on the multi- and transgenerational epigenetic effects of these exposures.


2017 ◽  
Vol 15 (01) ◽  
pp. 12-18
Author(s):  
Hans-Peter Friedrichsen
Keyword(s):  

SummaryAn der Entstehung von Adipositas sind zahlreiche Faktoren beteiligt. Dazu gehören auch epigenetische Veränderungen, ausgelöst durch pränatale Einflüsse wie die Ernährung der Mutter in der Schwangerschaft oder Endocrine disruptors. Neben dem Mikrobiom sowie der durch extrinsische und intrinsische Faktoren beeinflussten Regulation von Appetit und Sättigung spielt die Zusammensetzung der Ernährung eine wichtige Rolle.


2020 ◽  
Author(s):  
Azhagiya Singam Ettayapuram Ramaprasad ◽  
Phum Tachachartvanich ◽  
Denis Fourches ◽  
Anatoly Soshilov ◽  
Jennifer C.Y. Hsieh ◽  
...  

Perfluoroalkyl and Polyfluoroalkyl Substances (PFASs) pose a substantial threat as endocrine disruptors, and thus early identification of those that may interact with steroid hormone receptors, such as the androgen receptor (AR), is critical. In this study we screened 5,206 PFASs from the CompTox database against the different binding sites on the AR using both molecular docking and machine learning techniques. We developed support vector machine models trained on Tox21 data to classify the active and inactive PFASs for AR using different chemical fingerprints as features. The maximum accuracy was 95.01% and Matthew’s correlation coefficient (MCC) was 0.76 respectively, based on MACCS fingerprints (MACCSFP). The combination of docking-based screening and machine learning models identified 29 PFASs that have strong potential for activity against the AR and should be considered priority chemicals for biological toxicity testing.


Author(s):  
E. V. Tarasova

The article provides an overview of the main directions of development of EU legislation in the field of pesticides regulation. Special attention is paid to the problems of neonicotinoids, glyphosate, endocrine disruptors, and food quality control for the content of residual amounts of pesticides.


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