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在人体生物监测调查中选择最佳的非侵入性基质来测量汞暴露情况。

Selecting the best non-invasive matrix to measure mercury exposure in human biomonitoring surveys.

作者信息

Esteban-López Marta, Arrebola Juan Pedro, Juliá Miguel, Pärt Peter, Soto Eva, Cañas Ana, Pedraza-Díaz Susana, González-Rubio Juana, Castaño Argelia

机构信息

National Centre for Environmental Health, Instituto de Salud Carlos III, Madrid, Spain.

Department of Preventive Medicine and Public Health, University of Granada, Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Spain.

出版信息

Environ Res. 2022 Mar;204(Pt D):112394. doi: 10.1016/j.envres.2021.112394. Epub 2021 Nov 19.

Abstract

Exposure to mercury, even at low doses, can affect human health, well-being and life quality at a broad scale. Human biomonitoring is the most straightforward approach to measure and quantify mercury exposure in humans. The objective of the present study is to compare and discuss the relationships between Hg levels in the most used matrices, hair, urine and blood, with the aim to ascertain to what extent mercury exposure and internal mercury levels could be predicted by monitoring non-invasive matrices. The study population (n = 527) is a subsample from Spanish BIOAMBIENT. ES study (18-65 y, both sexes), with data of Hg levels in blood, hair, and urine from the same individuals. We found strong inter-matrix Spearman correlations between blood and hair mercury (r = 0.84), while the correlations for urine and blood mercury (r0.64) and urine and hair mercury (r0.65) were weaker. The geometric mean of the ratios between matrices were (GM, 95%CI): Hair/Blood 280 (271-290), Urine/Blood 0.174 (0.163-0.186) and Hair/Urine 2070 (1953-2194) and Urine/Blood 0.135 (0.128-0.144) for urine corrected by creatinine. High individual variation was observed particularly in those ratios involving urine. Considering the wide range of values observed in the ratios, we do not recommend applying them at individual level. The predictive models indicate that hair Hg was a more accurate predictor than urine. The inclusion of urine values did not increase the predictive accuracy, so, we recommend a cautious interpretation of urine mercury levels. Our study presents clear evidence that in a population highly exposed to food-borne mercury, a large portion of urinary mercury primarily emanates from methylmercury demethylation. We conclude that urine, as a non-invasive matrix, can be used as a reliable qualitative biomarker for Hg exposure when hair measurements not are available. For quantitative individual assessments, still blood measurements are to be preferred.

摘要

即使是低剂量接触汞,也会在很大程度上影响人类健康、幸福和生活质量。人体生物监测是测量和量化人体汞接触情况最直接的方法。本研究的目的是比较和讨论头发、尿液和血液等最常用基质中的汞含量之间的关系,以确定通过监测非侵入性基质能够在多大程度上预测汞接触情况和体内汞含量。研究人群(n = 527)是西班牙BIOAMBIENT.ES研究(年龄18 - 65岁,男女皆有)的一个子样本,包含同一批个体的血液、头发和尿液中的汞含量数据。我们发现血液和头发汞含量之间存在很强的基质间斯皮尔曼相关性(r = 0.84),而尿液与血液汞含量(r = 0.64)以及尿液与头发汞含量(r = 0.65)之间的相关性较弱。各基质间比值的几何均值为(几何均值,95%置信区间):头发/血液为280(271 - 290),尿液/血液为0.174(0.163 - 0.186),头发/尿液为2070(1953 - 2194),经肌酐校正后的尿液/血液为0.135(0.128 - 0.144)。尤其在涉及尿液的那些比值中观察到了较大的个体差异。考虑到在这些比值中观察到的广泛数值范围,我们不建议在个体层面应用它们。预测模型表明,头发汞含量比尿液是更准确的预测指标。纳入尿液值并未提高预测准确性,所以,我们建议谨慎解读尿液汞含量。我们的研究提供了明确证据,即在高度接触食源性汞的人群中,很大一部分尿汞主要源自甲基汞的去甲基化。我们得出结论,当无法进行头发测量时,尿液作为一种非侵入性基质,可作为汞接触的可靠定性生物标志物。对于个体定量评估,仍首选血液测量。

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