Miniero Roberto, Brambilla Gianfranco, Maffucci Fulvio, Hochscheid Sandra, Esposito Mauro
Environment and Health Department, Istituto Superiore di Sanita, Roma, Italy.
Food Safety, Nutrition and Veterinary Public Health Department, Istituto Superiore di Sanita, Roma, Italy.
Environ Toxicol Chem. 2025 Mar 1;44(3):710-717. doi: 10.1093/etojnl/vgae065.
A statistical procedure has been developed to derive a screening value from an observational study related to the developmental toxicity observed in loggerhead turtle (Caretta caretta) eggs exposed to long chain per- and polyfluoroalkyl substances (PFAS). A dataset of 41 nests in which the hatching rate was inversely correlated with the increase in the PFAS concentration in unhatched eggs was processed via a categorical regression approach. After outliers identification and removal, categorical regression analysis tested the relationships of the outcomes with the following parameters: perfluoro-nonanoic (PFNA), decanoic (PFDA), undecanoic (PFUdA), and dodecanoic (PFDoA) acids; perfluoroctansulfonate (PFOS); polychlorobiphenyls (PCBs) 28, 52, 101, 138, 153, 180; lead (Pb), total mercury (Hgtot), and cadmium (Cd); and other factors, such as "nest site," "clutch size," "incubation duration," and "nest minimum depth," as confounders/modifiers of the hatching rate. Among considered contaminants, PFOS, PFDA, and PFNA only were significant (p ˂ 0.05), as were "nest site," "clutch size," and "incubation duration," confirming their possible role in decreasing the hatching rate of sea turtle eggs. According to a chemical-specific visual strategy, PFOS only showed a typical monotonic dose/response curve, which allowed the identification of provisional hypothetical thresholds of PFOS, 1,386 (CI95 = 1,080-1,692) ng/kg, corresponding to average hatching rates of 93.3% (CI95 = 91.4%-95.2%). Our preliminary results indicate the feasibility of the extrapolation of a screening value from observational studies under the following requirements: (a) individuation of most influencing factors for the outcome; (b) datasets referred to baseline contamination; (c) selection of undisturbed nests; (d) appropriate statistical multivariate methodology. This work aims to contribute to the New Approach Methods (NAMs) to assess PFAS early-stage embriotoxicity in marine biota.
已开发出一种统计程序,用于从一项观察性研究中得出筛选值,该研究与暴露于长链全氟和多氟烷基物质(PFAS)的蠵龟(Caretta caretta)卵中观察到的发育毒性有关。通过分类回归方法处理了一个包含41个巢穴的数据集,其中孵化率与未孵化卵中PFAS浓度的增加呈负相关。在识别并去除异常值后,分类回归分析测试了结果与以下参数之间的关系:全氟壬酸(PFNA)、全氟癸酸(PFDA)、全氟十一烷酸(PFUdA)和全氟十二烷酸(PFDoA);全氟辛烷磺酸(PFOS);多氯联苯(PCBs)28、52、101、138、153、180;铅(Pb)、总汞(Hgtot)和镉(Cd);以及其他因素,如“巢穴位置”、“窝卵数”、“孵化持续时间”和“巢穴最小深度”,作为孵化率的混杂因素/调节因素。在考虑的污染物中,只有PFOS、PFDA和PFNA具有显著性(p ˂ 0.05),“巢穴位置”、“窝卵数”和“孵化持续时间”也是如此,证实了它们在降低海龟卵孵化率方面可能发挥的作用。根据一种针对特定化学物质的直观策略,只有PFOS显示出典型的单调剂量/反应曲线,这使得能够确定PFOS的暂定假设阈值为1386(CI95 = 1080 - 1692)ng/kg,对应于平均孵化率为93.3%(CI95 = 91.4% - 95.2%)。我们的初步结果表明,在以下要求下从观察性研究中推断筛选值是可行的:(a)确定对结果影响最大的因素;(b)参考基线污染的数据集;(c)选择未受干扰的巢穴;(d)采用适当的统计多变量方法。这项工作旨在为评估海洋生物群中PFAS早期胚胎毒性的新方法(NAMs)做出贡献。