Blood manganese as an exposure biomarker: state of the evidence.
Blood manganese as an exposure biomarker: state of the evidence.
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DOI：
10.1080/15459624.2013.852280
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发表时间：
2014
影响因子：
2
通讯作者：
Seixas NS
中科院分区：
文献类型：
--
作者：
Baker MG;Simpson CD;Stover B;Sheppard L;Checkoway H;Racette BA;Seixas NS
尽管有证据表明锰（Mn）暴露会对健康产生不良影响，但对暴露的生物标志物了解甚少。为了提高理解，平均血液锰（MnB）和平均空气锰（MnA）提取63个暴露组在24篇已发表的论文，并使用分段回归的关系建模。在对数/对数尺度上，在报告MnA浓度高于约10 μg/m3的研究中观察到MnA和MnB之间的正相关性，尽管解释受到大部分横截面数据、研究设计变异性和暴露监测方法差异的限制。基于分段回归的结果，我们假设，在浓度低于约10 μg/m3时，体内Mn主要由膳食Mn控制，并且额外吸入Mn仅引起Mn水平的可忽略变化，除非吸入量很大。然而，需要更强的研究设计来解释MnA与MnB关系的时间特征，这反映了锰吸收和分布的潜在生理学和毒理学。因此，我们提出了一个初始队列研究设计，我们已经进行了学徒焊工，分析优势，这项研究设计提供。为了确定血液是否可以作为Mn的有用生物标志物，供一般工业中的工业生物学家使用，需要额外的时间特异性分析，我们的初始队列研究设计将允许这种分析。
Despite evidence of adverse health effects resulting from exposure to manganese (Mn), biomarkers of exposure are poorly understood. To enhance understanding, mean blood Mn (MnB) and mean air Mn (MnA) were extracted from 63 exposure groups in 24 published papers, and the relationship was modeled using segmented regression. On a log/log scale, a positive association between MnA and MnB was observed among studies reporting MnA concentrations above about 10 μg/m3, although interpretation is limited by largely cross-sectional data, study design variability, and differences in exposure monitoring methods. Based on the results of the segmented regression, we hypothesize that below the concentration of about 10 μg/m3, Mn in the body is dominated by dietary Mn, and additional inhaled Mn only causes negligible changes in Mn levels unless the inhaled amount is substantial. However, stronger study designs are required to account for temporal characteristics of the MnA to MnB relationships which reflect the underlying physiology and toxicokinetics of Mn uptake and distribution. Thus, we present an inception cohort study design we have conducted among apprentice welders, and the analytical strengths this study design offers. To determine if blood could be a useful biomarker for Mn to be utilized by industrial hygienists in general industry requires additional time-specific analyses, which our inception cohort study design will allow.
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DOI：
10.1080/15287390490266909
发表时间：
2004-02-13
影响因子：
2.6
作者：
Antonini, JM;Taylor, MD;Roberts, JR
通讯作者：
Roberts, JR
影响因子：
3.4
作者：
Antonini, James M.;Santaimaria, Annette B.;Lucchini, Roberto
通讯作者：
Lucchini, Roberto
影响因子：
4.9
作者：
Criswell SR;Perlmutter JS;Huang JL;Golchin N;Flores HP;Hobson A;Aschner M;Erikson KM;Checkoway H;Racette BA
通讯作者：
Racette BA
影响因子：
8.3
作者：
Grass, David S.;Ross, James M.;Family, Farnosh;Barbour, Jonathan;Simpson, H. James;Coulibaly, Drissa;Hernandez, Jennifer;Chen, Yingdi;Slavkovich, Vesna;Li, Yongliang;Graziano, Joseph;Santella, Regina M.;Brandt-Rauf, Paul;Chillrud, Steven N.
通讯作者：
Chillrud, Steven N.
DOI：
10.2165/00139709-200625030-00002
发表时间：
2006-01-01
期刊：
Toxicological reviews
影响因子：
--
作者：
Aschner, Michael;Dorman, David C
通讯作者：
Dorman, David C