首页> 外文期刊>Toxicological sciences: An official journal of the Society of Toxicology >Human respiratory tract cancer risks of inhaled formaldehyde: dose-response predictions derived from biologically-motivated computational modeling of a combined rodent and human dataset.
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Human respiratory tract cancer risks of inhaled formaldehyde: dose-response predictions derived from biologically-motivated computational modeling of a combined rodent and human dataset.

机译:人体吸入甲醛的呼吸道癌症风险:剂量响应预测是由啮齿动物和人类数据集的生物学驱动计算模型得出的。

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摘要

Formaldehyde inhalation at 6 ppm and above causes nasal squamous cell carcinoma (SCC) in F344 rats. The quantitative implications of the rat tumors for human cancer risk are of interest, since epidemiological studies have provided only equivocal evidence that formaldehyde is a human carcinogen. Conolly et al. (Toxicol. Sci. 75, 432-447, 2003) analyzed the rat tumor dose-response assuming that both DNA-reactive and cytotoxic effects of formaldehyde contribute to SCC development. The key elements of their approach were: (1) use of a three-dimensional computer reconstruction of the rat nasal passages and computational fluid dynamics (CFD) modeling to predict regional dosimetry of formaldehyde; (2) association of the flux of formaldehyde into the nasal mucosa, as predicted by the CFD model, with formation of DNA-protein cross-links (DPX) and with cytolethality/regenerative cellular proliferation (CRCP); and (3) use of a two-stage clonal growth model to link DPX and CRCP with tumor formation. With this structure, the prediction of the tumor dose response was extremely sensitive to cell kinetics. The raw dose-response data for CRCP are J-shaped, and use of these data led to a predicted J-shaped dose response for tumors, notwithstanding a concurrent low-dose-linear, directly mutagenic effect of formaldehyde mediated by DPX. In the present work the modeling approach used by Conolly et al. (ibid.) was extended to humans. Regional dosimetry predictions for the entire respiratory tract were obtained by merging a three-dimensional CFD model for the human nose with a one-dimensional typical path model for the lower respiratory tract. In other respects, the human model was structurally identical to the rat model. The predicted human dose response for DPX was obtained by scale-up of a computational model for DPX calibrated against rat and rhesus monkey data. The rat dose response for CRCP was used "as is" for the human model, since no preferable alternative was identified. Three sets of baseline parameter values for the human clonal growth model were obtained through separate calibrations against respiratory tract cancer incidence data for nonsmokers, smokers, and a mixed population of nonsmokers and smokers, respectively. Additional risks of respiratory tract cancer were predicted to be negative up to about one ppm for all three cases when the raw CRCP data from the rat were used. When a hockey-stick-shaped model was fit to the rat CRCP data and used in place of the raw data, positive maximum likelihood estimates (MLE) of additional risk were obtained. These MLE estimates were lower, for some comparisons by as much as 1,000-fold, than MLE estimates from previous cancer dose-response assessments for formaldehyde. Breathing rate variations associated with different physical activity levels did not make large changes in predicted additional risks. In summary, this analysis of the human implications of the rat SCC data indicates that (1) cancer risks associated with inhaled formaldehyde are de minimis (10(-6) or less) at relevant human exposure levels, and (2) protection from the noncancer effects of formaldehyde should be sufficient to protect from its potential carcinogenic effects.
机译:6 ppm及以上的甲醛吸入会导致F344大鼠鼻鳞癌(SCC)。由于流行病学研究仅提供了模棱两可的证据表明甲醛是人类致癌物,因此大鼠肿瘤对人类癌症风险的定量影响是令人感兴趣的。 Conolly等。 (Toxicol。Sci。75,432-447,2003)分析了大鼠的肿瘤剂量反应,假设甲醛的DNA反应性和细胞毒性作用均有助于SCC的发展。其方法的关键要素是:(1)使用大鼠鼻腔的三维计算机重建和计算流体力学(CFD)建模来预测甲醛的局部剂量; (2)如CFD模型所预测的,甲醛进入鼻粘膜的通量与DNA-蛋白质交联(DPX)的形成以及细胞致死/再生细胞增殖(CRCP)的联系; (3)使用两阶段克隆生长模型将DPX和CRCP与肿瘤形成联系起来。通过这种结构,肿瘤剂量反应的预测对细胞动力学极为敏感。 CRCP的原始剂量反应数据为J形,尽管DPX介导的甲醛同时具有低剂量线性,直接直接诱变作用,但使用这些数据仍可预测肿瘤的J形剂量反应。在目前的工作中,Conolly等人使用的建模方法。 (同上)扩展到人类。通过将人鼻子的三维CFD模型与下呼吸道的一维典型路径模型合并,可以获得整个呼吸道的区域剂量学预测。在其他方面,人类模型在结构上与大鼠模型相同。通过放大针对大鼠和恒河猴数据校准的DPX计算模型,可以获得DPX的预期人剂量反应。对于CRCP的大鼠剂量反应被“按原样”用于人类模型,因为没有发现更好的选择。通过分别针对非吸烟者,吸烟者以及非吸烟者和吸烟者的混合人群的呼吸道癌症发病率数据进行单独的校准,获得了三组人类克隆生长模型的基线参数值。当使用来自大鼠的原始CRCP数据时,在所有三种情况下,预计呼吸道癌的其他风险均为阴性,最高可达约1 ppm。当曲棍球棒状的模型拟合到大鼠的CRCP数据并代替原始数据使用时,可获得额外风险的正最大似然估计(MLE)。对于某些比较,这些MLE估计值比先前对甲醛的癌症剂量反应评估得出的MLE估计值低1000倍。与不同体育活动水平相关的呼吸频率变化并未使预计的其他风险发生较大变化。总之,对大鼠SCC数据对人体的影响的分析表明,(1)在相关的人体暴露水平下,与吸入甲醛相关的癌症风险极小(10(-6)或更低),并且(2)防止甲醛暴露。甲醛的非癌作用应足以保护其免受潜在的致癌作用。

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