Application and interpretation of immunophenotyping data in safety and risk assessment.

IF 3.6 Q2 TOXICOLOGY Frontiers in toxicology Pub Date : 2024-10-04 eCollection Date: 2024-01-01 DOI:10.3389/ftox.2024.1409365
Victor J Johnson, Michael I Luster, Andrew Maier, Corey Boles, Eric W Miller, Daniel E Arrieta
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Abstract

The use of immunophenotyping during immunotoxicity investigations was first popularized in the 1980 s and has since become more integrated into diagnostic and non-clinical assessments. The data provided from immunophenotyping can serve as an initial source of information to guide decisions for additional, more advanced, immunotoxicity testing as well as for human health safety and risk assessment of drugs and chemicals. However, comprehensive guidance describing applications of immunophenotyping data in immunotoxicity investigations is lacking, particularly among regulatory bodies. Therefore, a critical examination is needed for the appropriate interpretations and potential misinterpretations of such data during the assessment of drug safety and chemical risk. As such, the current uses and implications of immunophenotyping data in human health safety and risk assessments has been evaluated to provide additional context for the application of current methodologies and guidelines. In addition, case studies are presented to highlight the challenges of interpreting immunophenotyping results along with incorporating the findings into immunotoxicity investigations. Based on the analyses of current approaches and methodologies, a decision flow is presented for use of immunophenotyping data during risk informed decision making.

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免疫分型数据在安全和风险评估中的应用和解释。
免疫分型技术在免疫毒性研究中的应用始于 20 世纪 80 年代,之后逐渐融入诊断和非临床评估中。免疫分型所提供的数据可以作为初步的信息来源,为更多更先进的免疫毒性测试以及药物和化学品的人类健康安全和风险评估提供决策指导。然而,目前还缺乏全面的指导来说明免疫表型数据在免疫毒性调查中的应用,特别是在监管机构中。因此,在评估药物安全性和化学品风险时,需要对此类数据的适当解释和潜在误读进行严格审查。因此,我们对免疫分型数据在人类健康安全和风险评估中的当前用途和影响进行了评估,以便为当前方法和准则的应用提供更多的背景资料。此外,还介绍了案例研究,以突出解释免疫分型结果以及将结果纳入免疫毒性调查所面临的挑战。根据对当前方法和手段的分析,提出了在风险知情决策过程中使用免疫表型数据的决策流程。
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CiteScore
3.80
自引率
0.00%
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0
审稿时长
13 weeks
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