Abstract

17α-estradiol (αE2), an endogenous stereoisomer of the hormone 17β-estradiol (E2), is capable of binding to estrogen receptors (ER). We aimed to mathematically describe, using experimental data, the possible interactions between αE2 and sperm ER during the process of sperm capacitation and to develop a kinetic model. The goal was to compare the suggested kinetic model with previously published results of ER interactions with E2 and 17α-ethynylestradiol (EE2). The HPLC-MS/MS method was developed to monitor the changes of αE2 concentration during capacitation. The calculated relative concentrations Bt were used for kinetic analysis. Rate constants k and molar ratio n were optimized and used for the construction of theoretical B(t) curves. Modifications in αE2–ER interactions were discovered during comparison with models for E2 and EE2. These new interactions displayed autocatalytic formation of an unstable adduct between the hormone and the cytoplasmic receptors. αE2 accumulates between the plasma membrane lipid bilayer with increasing potential, and when the critical level is reached, αE2 penetrates through the inner layer of the plasma membrane into the cytoplasm. It then rapidly reacts with the ER and creates an unstable adduct. The revealed dynamics of αE2–ER action may contribute to understanding tissue rejuvenation and the cancer-related physiology of αE2 signaling.

Highlights

  • Estrogens are steroid hormones, and if present in the environment, they are classified as pollutants called endocrine-disrupting chemicals (EDCs) [1]

  • We developed a novel approach utilizing the kinetic analysis of experimental data using theoretical modelling that resulted in new perspectives and interpretation of data

  • The number of receptors on the surface of sperm is determined by the adsorption isotherm

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Summary

Introduction

If present in the environment, they are classified as pollutants called endocrine-disrupting chemicals (EDCs) [1]. EDCs can simulate the behavior of endogenous estrogens, which control several physiological processes, including male reproduction and in sperm maturation [1,2,3,4]. Several estrogenic hormones lead to an increase in germ cell apoptosis and a decrease in sperm count [7,8]. It is vital to study estrogens and ER interactions because they are heavily involved in the sperm maturation process called capacitation. It is during capacitation that sperm gain the capacity to fertilize the egg. We developed a novel approach utilizing the kinetic analysis of experimental data using theoretical modelling that resulted in new perspectives and interpretation of data

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