Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen 518055, China.
Institute of Biochemistry and Cell Biology (IBBC), Consiglio Nazionale delle Ricerche (CNR), 80131 Napoli, Italy.
Int J Environ Res Public Health. 2021 Nov 10;18(22):11769. doi: 10.3390/ijerph182211769.
The immunological safety of drugs, nanomaterials and contaminants is a central point in the regulatory evaluation and safety monitoring of working and public places and of the environment. In fact, anomalies in immune responses may cause diseases and hamper the physical and functional integrity of living organisms, from plants to human beings. In the case of nanomaterials, many experimental models are used for assessing their immunosafety, some of which have been adopted by regulatory bodies. All of them, however, suffer from shortcomings and approximations, and may be inaccurate in representing real-life responses, thereby leading to incomplete, incorrect or even misleading predictions. Here, we review the advantages and disadvantages of current nanoimmunosafety models, comparing in vivo vs. in vitro models and examining the use of animal vs. human cells, primary vs. transformed cells, complex multicellular and 3D models, organoids and organs-on-chip, in view of implementing a reliable and personalized nanoimmunosafety testing. The general conclusion is that the choice of testing models is key for obtaining reliable predictive information, and therefore special attention should be devoted to selecting the most relevant and realistic suite of models in order to generate relevant information that can allow for safer-by-design nanotechnological developments.
药物、纳米材料和污染物的免疫安全性是工作和公共场所以及环境的监管评估和安全监测的一个核心要点。事实上,免疫反应异常可能导致疾病,并损害从植物到人类等生物体的身体和功能完整性。在纳米材料的情况下,许多实验模型被用于评估其免疫安全性,其中一些已被监管机构采用。然而,所有这些模型都存在缺点和近似性,并且可能无法准确代表现实生活中的反应,从而导致不完整、不正确甚至误导性的预测。在这里,我们回顾了当前纳米免疫安全性模型的优缺点,比较了体内与体外模型,并考察了动物与人类细胞、原代与转化细胞、复杂的多细胞和 3D 模型、类器官和器官芯片的应用,以期实现可靠和个性化的纳米免疫安全性测试。总的结论是,测试模型的选择是获得可靠预测信息的关键,因此应特别注意选择最相关和最现实的模型套件,以便生成能够允许更安全的纳米技术发展的相关信息。