Battershill J M, Burnett K, Bull S
Health Protection Agency, c/o DH Wellington House, 133-155 Waterloo Road, London SE1 8UG, UK.
Mutagenesis. 2008 Nov;23(6):423-37. doi: 10.1093/mutage/gen040. Epub 2008 Aug 4.
A review of risk factors affecting background rates of micronuclei and chromosomal aberration (CA) formation in peripheral blood lymphocytes (PBLs) was undertaken with a view to aiding the interpretation of genotoxicity biomonitoring studies. Both endogenous factors and those due to methodological variation were evaluated. Background variation of other indices of genotoxicity in PBLs (specifically 8-hydroxy-deoxyguanosine and comet assays) were also considered as these data likely reflect overlapping causes of DNA damage and may provide some indicators for future research areas. A number of host risk factors, namely age, gender, smoking, vitamin B(12) and folate status, were identified for which there is strong or sufficient evidence that they impact on background levels of genotoxicity biomarkers. Evaluation of these factors should be routinely included in genotoxicity biomonitoring studies. Although data on the influence of smoking is somewhat inconsistent, because of its known association with cancer and DNA damage, it is also classified as a high-risk factor. A number of other factors were identified for which there is weak or insufficient evidence including alcohol consumption, disease conditions and infections, physical exercise, body mass index and genotype. The review shows that the evaluation of biomonitoring studies of genotoxicity is complex and there is a need to improve study designs by setting an a priori hypothesis, collecting good exposure data and stratifying groups appropriately, using appropriate power calculations before initiating biomonitoring studies, and collecting information on appropriate risk factors. There is a need for further collaborative work and the establishment of centres of excellence on genotoxicity biomonitoring. If these measures are achieved, then it would be possible to use the data from biomonitoring studies in risk assessments to derive risk management measures.
为了辅助对遗传毒性生物监测研究结果的解读,我们对外周血淋巴细胞(PBLs)中影响微核和染色体畸变(CA)形成背景率的风险因素进行了综述。我们评估了内源性因素以及那些因方法学差异导致的因素。同时,我们也考虑了PBLs中其他遗传毒性指标(特别是8-羟基脱氧鸟苷和彗星试验)的背景差异,因为这些数据可能反映了DNA损伤的重叠原因,并且可能为未来的研究领域提供一些指标。我们确定了一些宿主风险因素,即年龄、性别、吸烟、维生素B12和叶酸状态,有充分或足够的证据表明它们会影响遗传毒性生物标志物的背景水平。在遗传毒性生物监测研究中应常规纳入对这些因素的评估。尽管关于吸烟影响的数据有些不一致,但由于其与癌症和DNA损伤的已知关联,它也被归类为高风险因素。我们还确定了一些证据薄弱或不足的其他因素,包括饮酒、疾病状况和感染、体育锻炼、体重指数和基因型。综述表明,遗传毒性生物监测研究的评估很复杂,需要通过设定先验假设、收集良好的暴露数据并适当地对组进行分层、在启动生物监测研究前使用适当的功效计算以及收集有关适当风险因素的信息来改进研究设计。有必要开展进一步的合作工作,并建立遗传毒性生物监测卓越中心。如果实现了这些措施,那么就有可能在风险评估中使用生物监测研究的数据来推导风险管理措施。