4.4 Article

Mechanism of radiation-induced bystander effects: a unifying model

期刊

JOURNAL OF PHARMACY AND PHARMACOLOGY
卷 60, 期 8, 页码 943-950

出版社

WILEY
DOI: 10.1211/jpp.60.8.0001

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资金

  1. NCI NIH HHS [CA 130536, R01 CA130536, P01 CA049062, CA 49062] Funding Source: Medline
  2. NCRR NIH HHS [RR 11623] Funding Source: Medline
  3. NIEHS NIH HHS [ES 11804, P30 ES009089, ES 09089, R01 ES011804] Funding Source: Medline

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The radiation-induced bystander effect represents a paradigm shift in our understanding of the radiobiological effects of ionizing radiation, in that extranuclear and extracellular events may also contribute to the final biological consequences of exposure to low doses of radiation. Although radiation-induced bystander effects have been well documented in a variety of biological systems, the mechanism is not known. It is likely that multiple pathways are involved in the bystander phenomenon, and different cell types respond differently to bystander signalling. Using cDNA microarrays, a number of cellular signalling genes, including cyclooxygenase-2 (COX-2), have been shown to be causally linked to the bystander phenomenon. The observation that inhibition of the phosphorylation of extracellular signal-related kinase (ERK) suppressed the bystander response further confirmed the important role of the mitogen-activated protein kinase (MAPK) signalling cascade in the bystander process. Furthermore, cells deficient in mitochondrial DNA showed a significantly reduced response to bystander signalling, suggesting a functional role of mitochondria in the signalling process. Inhibitors of nitric oxide (NO) synthase (NOS) and mitochondrial calcium uptake provided evidence that NO and calcium signalling are part of the signalling cascade. The bystander observations imply that the relevant target for various radiobiological endpoints is larger than an individual cell. A better understanding of the cellular and molecular mechanisms of the bystander phenomenon, together with evidence of their occurrence in-vivo, will allow us to formulate a more accurate model for assessing the health effects of low doses of ionizing radiation.

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