Suppr超能文献

基于化学-生物学相似性对复杂物质进行分组,作为评估化学替代品的一种原型方法。

A chemical-biological similarity-based grouping of complex substances as a prototype approach for evaluating chemical alternatives.

作者信息

Grimm Fabian A, Iwata Yasuhiro, Sirenko Oksana, Chappell Grace A, Wright Fred A, Reif David M, Braisted John, Gerhold David L, Yeakley Joanne M, Shepard Peter, Seligmann Bruce, Roy Tim, Boogaard Peter J, Ketelslegers Hans B, Rohde Arlean M, Rusyn Ivan

机构信息

Department of Veterinary Integrative Biosciences , Texas A&M University , College Station , TX , USA . Email:

Molecular Devices LLC , Sunnyvale , CA , USA.

出版信息

Green Chem. 2016 Aug 21;18(16):4407-4419. doi: 10.1039/c6gc01147k. Epub 2016 May 16.

Abstract

Comparative assessment of potential human health impacts is a critical step in evaluating both chemical alternatives and existing products on the market. Most alternatives assessments are conducted on a chemical-by-chemical basis and it is seldom acknowledged that humans are exposed to complex products, not individual substances. Indeed, substances of nknown or ariable composition, omplex reaction products, and iological materials (UVCBs) are ubiquitous in commerce yet they present a major challenge for registration and health assessments. Here, we present a comprehensive experimental and computational approach to categorize UVCBs according to global similarities in their bioactivity using a suite of models. We used petroleum substances, an important group of UVCBs which are grouped for regulatory approval and read-across primarily on physico-chemical properties and the manufacturing process, and only partially based on toxicity data, as a case study. We exposed induced pluripotent stem cell-derived cardiomyocytes and hepatocytes to DMSO-soluble extracts of 21 petroleum substances from five product groups. Concentration-response data from high-content imaging in cardiomyocytes and hepatocytes, as well as targeted high-throughput transcriptomic analysis of the hepatocytes, revealed distinct groups of petroleum substances. Data integration showed that bioactivity profiling affords clustering of petroleum substances in a manner similar to the manufacturing process-based categories. Moreover, we observed a high degree of correlation between bioactivity profiles and physico-chemical properties, as well as improved groupings when chemical and biological data were combined. Altogether, we demonstrate how novel screening approaches can be effectively utilized in combination with physico-chemical characteristics to group complex substances and enable read-across. This approach allows for rapid and scientifically-informed evaluation of health impacts of both existing substances and their chemical alternatives.

摘要

对潜在人类健康影响进行比较评估是评估市场上化学替代品和现有产品的关键步骤。大多数替代品评估是逐化学物质进行的,很少有人认识到人类接触的是复杂产品,而非单一物质。事实上,成分未知或可变的物质、复杂反应产物和生物材料(UVCBs)在商业中无处不在,但它们给注册和健康评估带来了重大挑战。在此,我们提出一种全面的实验和计算方法,使用一组模型根据UVCBs生物活性的全球相似性对其进行分类。我们以石油物质为例进行研究,石油物质是UVCBs的一个重要类别,目前主要根据物理化学性质和制造工艺进行分类以供监管批准和类推,仅部分基于毒性数据。我们将诱导多能干细胞衍生的心肌细胞和肝细胞暴露于来自五个产品组的21种石油物质的二甲基亚砜可溶性提取物中。心肌细胞和肝细胞高内涵成像的浓度-反应数据,以及肝细胞的靶向高通量转录组分析,揭示了不同组别的石油物质。数据整合表明,生物活性谱分析能够以类似于基于制造工艺的类别方式对石油物质进行聚类。此外,我们观察到生物活性谱与物理化学性质之间存在高度相关性,并且在结合化学和生物学数据时分组得到了改进。总之,我们展示了如何将新型筛选方法与物理化学特性有效结合,对复杂物质进行分组并实现类推。这种方法能够对现有物质及其化学替代品的健康影响进行快速且基于科学依据的评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba47/5179981/83e18c3fcefe/c6gc01147k-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验