摘要：The biological evaluation of air pollutants is an example of the difficulties of evaluating the effects of mixed concurrent exposures to multiple agents, such as combinations of carcinogens with other carcinogens of the same or different chemical class, with incomplete carcinogens and cocarcinogens, with particulate materials and other factors that modify tissue distribution and retention, and with modifiers of metabolic pathways of activation and detoxication. A research approach is outlined to investigate such interactions in a series of biological systems of increasing complexity but closely related to each other in a step-by-step sequence, e.g., bacterial mutagenesis; mammalian cell mutagenesis, toxicity and neoplastic transformation, including embryo cells, fibroblasts and epithelial cells; organ cultures of target epithelia; in vivo animal systems for short-term and long-term studies, including animal models closely comparable to human pathology; observational studies of human pathology and histopathogenesis; experimental studies of corresponding human target tissues using organ and cell culture methods for metabolism, toxicity, mutagenicity and possibly neoplastic cell transformation. Respiratory carcinogenesis models were successfully used for studies of mixed exposures to different carcinogens and cofactors. The role of particulates has been found to be important but needs to be further characterized. Quantitative variations in the response to carcinogens and cofactors among different biological test systems and among different individuals in the human population make quantitative risk estimation very difficult, but studies in a sequence of related biological systems including human tissues indicate the importance of qualitative risk evaluation. Full text Full text is available as a scanned copy of the original print version. Get a printable copy (PDF file) of the complete article (1.1M), or click on a page image below to browse page by page. Links to PubMed are also available for Selected References . 319 320 321 322 323 324
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