De Rosa Michele, Giampaoli Ottavia, Patriarca Adriano, Marini Federico, Pietroiusti Antonio, Ippoliti Lorenzo, Paolino Agostino, Militello Andrea, Fetoni Anna Rita, Sisto Renata, Tranfo Giovanna, Spagnoli Mariangela, Sciubba Fabio
Department of Chemistry, Sapienza University of Rome, 00185 Rome, Italy.
NMR-Based Metabolomics Laboratory (NMLab), Sapienza University of Rome, 00185 Rome, Italy.
J Xenobiot. 2025 Mar 4;15(2):39. doi: 10.3390/jox15020039.
The plastic manufacturing industry has a crucial role in the global economy with a significant impact in a wide range of fields. The chemical risk to which workers are potentially exposed is difficult to characterize and strictly related to both the products and processes adopted. Among the chemicals used, we can cite styrene, phenol, butadiene and phthalates, but nano- and microplastic particles can also be released in the work environment. In this pilot study, we present for the first time an NMR-based metabolomic approach for assessing urinary profiles of workers employed in a plastic manufacturing company. Urine samples from twelve workers and thirteen healthy volunteers were collected and analyzed by NMR spectroscopy. Forty-six urinary metabolites belonging to different chemical classes were univocally identified and quantified. The dataset so obtained was then subjected to multivariate statistical analysis to characterize each profile and highlight any differences. An alteration in some metabolites involved in several pathways, such as amino acid metabolism and NAD metabolism, was found, and a strong impact on gut microflora was also speculated. Ultimately, our work has the objective of adding a tile to the knowledge of biological effects possibly related to occupational exposure even if it is below the threshold limit values.
塑料制造业在全球经济中发挥着关键作用,对众多领域有着重大影响。工人可能接触到的化学风险难以描述,且与所采用的产品和工艺密切相关。在所使用的化学品中,我们可以列举苯乙烯、苯酚、丁二烯和邻苯二甲酸盐,但纳米和微塑料颗粒也可能在工作环境中释放。在这项初步研究中,我们首次提出了一种基于核磁共振的代谢组学方法,用于评估一家塑料制造公司员工的尿液谱。收集了12名工人和13名健康志愿者的尿液样本,并通过核磁共振光谱进行分析。明确鉴定并定量了46种属于不同化学类别的尿液代谢物。然后对如此获得的数据集进行多元统计分析,以表征每个谱并突出任何差异。发现参与多种途径(如氨基酸代谢和NAD代谢)的一些代谢物发生了改变,还推测对肠道微生物群有强烈影响。最终,我们的工作目标是为与职业暴露相关的生物学效应知识添砖加瓦,即使这种暴露低于阈限值。