Nolte Tom M
Department of Environmental Science, Institute for Water and Wetland Research, Radboud University Nijmegen, 6500, GL Nijmegen, the Netherlands.
Heliyon. 2024 Jul 11;10(14):e34501. doi: 10.1016/j.heliyon.2024.e34501. eCollection 2024 Jul 30.
Incidence of autoimmune disorders, birth defects, and neurological diseases rose over the past 50 years due to increasing variety and quantity of pollutants. To date, there appear few methods capable to evaluate and predict mixture effects by endocrine disruptors (EDs). For the first time, we have developed calculus to determine mixture effects by all kinds of EDs. Our method uses the golden ratio and draws from bifurcation and chaos theory. Using also the concept of molecular mimicry, we developed the equation: . We successfully tested the equation using a range of cohort studies and biomarkers, and for different pollutants like heavy metals, thyroid hormone mimickants, chromate/chlorate, etc. The equation is simple enough to use with only minor prior knowledge and understanding of basic algebra. The method is universal and calculation is data 'light', requiring only pollutant concentrations [], potencies and an integer for endocrinal involvement. This study offers a comprehensive framework to assess the health effects of pollutant exposure across diverse populations, envisioning far-reaching impact, and presenting practical examples and insights.
在过去50年中,由于污染物种类和数量的增加,自身免疫性疾病、出生缺陷和神经疾病的发病率有所上升。迄今为止,似乎很少有方法能够评估和预测内分泌干扰物(EDs)的混合效应。我们首次开发了一种计算方法来确定各类EDs的混合效应。我们的方法使用黄金分割率,并借鉴了分岔和混沌理论。我们还利用分子模拟的概念,推导出了方程: 。我们使用一系列队列研究和生物标志物,针对重金属、甲状腺激素模拟物、铬酸盐/氯酸盐等不同污染物,成功地对方程进行了测试。该方程使用起来足够简单,只需要少量的先验知识和对基础代数的理解。该方法具有通用性,计算对数据要求“低”,只需要污染物浓度[]、效力 和一个表示内分泌参与情况的整数 。本研究提供了一个全面的框架,以评估不同人群中污染物暴露对健康的影响,具有深远的影响,并给出了实际例子和见解。