Jones John P, Williamson Lauren, Konsoula Zacharoula, Anderson Rachel, Reissner Kathryn J, Parker William
WPLab, Inc., Durham, NC 27707, USA.
Department of Biological Sciences, Northern Kentucky University, Highland Heights, KY 41099, USA.
Life (Basel). 2024 Jul 23;14(8):918. doi: 10.3390/life14080918.
More than 20 previously reported lines of independent evidence from clinical observations, studies in laboratory animal models, pharmacokinetic considerations, and numerous temporal and spatial associations indicate that numerous genetic and environmental factors leading to inflammation and oxidative stress confer vulnerability to the aberrant metabolism of acetaminophen during early development, leading to autism spectrum disorder (ASD). Contrary to this conclusion, multivariate analyses of cohort data adjusting for inflammation-associated factors have tended to show little to no risk of acetaminophen use for neurodevelopment. To resolve this discrepancy, here we use in silico methods to create an ideal (virtual) population of 120,000 individuals in which 50% of all cases of virtual ASD are induced by oxidative stress-associated cofactors and acetaminophen use. We demonstrate that Cox regression analysis of this ideal dataset shows little to no risk of acetaminophen use if the cofactors that create aberrant metabolism of acetaminophen are adjusted for in the analysis. Further, under-reporting of acetaminophen use is shown to be a considerable problem for this analysis, leading to large and erroneously low calculated risks of acetaminophen use. In addition, we argue that factors that impart susceptibility to acetaminophen-induced injury, and propensity for acetaminophen use itself, can be shared between the prepartum, peripartum, and postpartum periods, creating additional difficulty in the analysis of existing datasets to determine risks of acetaminophen exposure for neurodevelopment during a specific time frame. It is concluded that risks of acetaminophen use for neurodevelopment obtained from multivariate analysis of cohort data depend on underlying assumptions in the analyses, and that other evidence, both abundant and robust, demonstrate the critical role of acetaminophen in the etiology of ASD.
超过20条先前报道的来自临床观察、实验动物模型研究、药代动力学考量以及众多时间和空间关联的独立证据表明,导致炎症和氧化应激的众多遗传和环境因素使个体在早期发育过程中对乙酰氨基酚的异常代谢变得脆弱,从而导致自闭症谱系障碍(ASD)。与这一结论相反,对队列数据进行炎症相关因素调整后的多变量分析往往显示,使用乙酰氨基酚对神经发育几乎没有风险。为了解决这一差异,我们在此使用计算机模拟方法创建了一个由12万名个体组成的理想(虚拟)人群,其中所有虚拟ASD病例的50%是由氧化应激相关辅助因子和使用乙酰氨基酚诱发的。我们证明,对这个理想数据集进行Cox回归分析表明,如果在分析中对导致乙酰氨基酚异常代谢的辅助因子进行调整,使用乙酰氨基酚的风险几乎为零。此外,对于该分析而言,乙酰氨基酚使用情况报告不足是一个相当严重的问题,导致计算出的乙酰氨基酚使用风险大幅降低且有误。此外,我们认为,导致对乙酰氨基酚诱导损伤易感的因素以及使用乙酰氨基酚本身的倾向,可能在产前、围产期和产后阶段都存在,这给分析现有数据集以确定特定时间段内乙酰氨基酚暴露对神经发育的风险带来了额外困难。得出的结论是,从队列数据多变量分析中得出的乙酰氨基酚使用对神经发育的风险取决于分析中的潜在假设,并且其他丰富而有力的证据表明乙酰氨基酚在ASD病因学中起关键作用。