Interdisciplinary Program in Agricultural Genomics, Seoul National University, Seoul 08826, Republic of Korea.
Department of Agricultural Biotechnology, Seoul National University, Seoul 08826, Republic of Korea.
J Microbiol Biotechnol. 2023 Oct 28;33(10):1351-1360. doi: 10.4014/jmb.2301.01036. Epub 2023 Jun 12.
Endocrine-disrupting chemicals (EDCs) are compounds that disturb hormonal homeostasis by binding to receptors. EDCs are metabolized through hepatic enzymes, causing altered transcriptional activities of hormone receptors, and thus necessitating the exploration of the potential endocrine-disrupting activities of EDC-derived metabolites. Accordingly, we have developed an integrative workflow for evaluating the post-metabolic activity of potential hazardous compounds. The system facilitates the identification of metabolites that exert hormonal disruption through the integrative application of an MS/MS similarity network and predictive biotransformation based on known hepatic enzymatic reactions. As proof-of-concept, the transcriptional activities of 13 chemicals were evaluated by applying the in vitro metabolic module (S9 fraction). Identified among the tested chemicals were three thyroid hormone receptor (THR) agonistic compounds that showed increased transcriptional activities after phase I+II reactions (T3, 309.1 ± 17.3%; DITPA, 30.7 ± 1.8%; GC-1, 160.6 ± 8.6% to the corresponding parents). The metabolic profiles of these three compounds showed common biotransformation patterns, particularly in the phase II reactions (glucuronide conjugation, sulfation, GSH conjugation, and amino acid conjugation). Data-dependent exploration based on molecular network analysis of T3 profiles revealed that lipids and lipid-like molecules were the most enriched biotransformants. The subsequent subnetwork analysis proposed 14 additional features, including T4 in addition to 9 metabolized compounds that were annotated by prediction system based on possible hepatic enzymatic reaction. The other 10 THR agonistic negative compounds showed unique biotransformation patterns according to structural commonality, which corresponded to previous in vivo studies. Our evaluation system demonstrated highly predictive and accurate performance in determining the potential thyroid-disrupting activity of EDC-derived metabolites and for proposing novel biotransformants.
内分泌干扰化学物质(EDCs)是通过与受体结合而扰乱激素内稳态的化合物。EDCs 通过肝酶代谢,导致激素受体转录活性改变,因此需要探索 EDC 衍生代谢物的潜在内分泌干扰活性。因此,我们开发了一种综合工作流程,用于评估潜在有害化合物的代谢后活性。该系统通过整合应用 MS/MS 相似性网络和基于已知肝酶反应的预测生物转化,促进了通过内分泌干扰发挥作用的代谢物的鉴定。作为概念验证,通过应用体外代谢模块(S9 级分)评估了 13 种化学物质的转录活性。在所测试的化学物质中鉴定出三种甲状腺激素受体(THR)激动剂化合物,它们在 I+II 期反应后显示出增加的转录活性(T3,309.1±17.3%;DITPA,30.7±1.8%;GC-1,160.6±8.6%相对于相应的母体)。这三种化合物的代谢谱显示出共同的生物转化模式,特别是在 II 期反应中(葡萄糖醛酸苷缀合、硫酸化、GSH 缀合和氨基酸缀合)。基于 T3 谱的分子网络分析的数据依赖性探索表明,脂质和类脂样分子是最丰富的生物转化产物。随后的子网络分析提出了 14 个额外的特征,包括 T4 以及 9 种根据可能的肝酶反应预测系统注释的代谢产物。其他 10 种 THR 激动剂阴性化合物根据结构相似性显示出独特的生物转化模式,这与之前的体内研究相对应。我们的评估系统在确定 EDC 衍生代谢物的潜在甲状腺干扰活性和提出新的生物转化产物方面表现出高度的预测和准确性能。