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影响玻利维亚成人队列中三种指示性多氯联苯联合暴露的因素。

Factors influencing combined exposure to three indicator polychlorinated biphenyls in an adult cohort from Bolivia.

机构信息

Laboratory of Medical Investigations, San Cecilio University Hospital, University of Granada, Granada, Spain.

出版信息

Environ Res. 2012 Jul;116:17-25. doi: 10.1016/j.envres.2012.04.009. Epub 2012 May 10.

Abstract

Polychlorinated biphenyls are persistent organic pollutants that have been used for decades in several industrial applications. Although production of polychlorinated biphenyls was restricted from the 1970s in most countries, substantial amounts remain in old equipment and buildings and they have been detected in various environmental and biological matrices. The main objective of this study was to analyze predictors of the combined exposure to three non-dioxin-like polychlorinated biphenyls (congeners 138, 153 and 180) in serum and adipose tissue from an adult cohort (n=112) living in the city of Santa Cruz de la Sierra (Bolivia) and surrounding towns/villages. A second aim was to identify modifiers that might influence the statistical associations found, using crude, partially-adjusted, and global multiple linear regression models. Main predictors of serum concentrations were occupation and fatty food consumption, while those for adipose tissue concentrations included age, smoking habit, fatty food consumption, and residence. The differences between the two matrices might be derived from their biological meaning, given that adipose tissue concentrations are an indicator of chronic exposure to polychlorinated biphenyls while serum levels are a good predictor of ongoing exposure and the mobilization of polychlorinated biphenyls stored in fatty tissues. Body mass index was found to be an important modifier of these associations.

摘要

多氯联苯是持久性有机污染物,几十年来一直被应用于多种工业用途。尽管大多数国家自 20 世纪 70 年代起已限制多氯联苯的生产,但仍有大量多氯联苯残留在旧设备和建筑物中,且在各种环境和生物基质中均有检出。本研究的主要目的是分析血清和脂肪组织中三种非二恶英类多氯联苯(同系物 138、153 和 180)联合暴露的预测因子,该研究纳入了居住在圣克鲁斯德拉谢拉市(玻利维亚)及其周边城镇/村庄的一个成人队列(n=112)。第二个目的是使用未经调整、部分调整和整体多元线性回归模型,确定可能影响所发现统计关联的修饰因子。血清浓度的主要预测因子是职业和高脂肪食物的摄入,而脂肪组织浓度的预测因子包括年龄、吸烟习惯、高脂肪食物的摄入和居住地点。两种基质之间的差异可能源自其生物学意义,因为脂肪组织浓度是多氯联苯慢性暴露的指标,而血清水平则是多氯联苯持续暴露和储存于脂肪组织中的多氯联苯动员的良好预测指标。体重指数被认为是这些关联的一个重要修饰因子。

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