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使用分类回归对锰的U型剂量反应曲线进行建模。

Modeling U-shaped dose-response curves for manganese using categorical regression.

作者信息

Milton Brittany, Krewski Daniel, Mattison Donald R, Karyakina Nataliya A, Ramoju Siva, Shilnikova Natalia, Birkett Nicholas, Farrell Patrick J, McGough Doreen

机构信息

Risk Sciences International, 55 Metcalfe Street, Suite 700, K1P 6L5, Ottawa, Canada.

Risk Sciences International, 55 Metcalfe Street, Suite 700, K1P 6L5, Ottawa, Canada; R. Samuel McLaughlin Centre for Population Health Risk Assessment, Faculty of Medicine, University of Ottawa, 850 Peter Morand Crescent, Room 119, Ottawa, K1G 3Z7, Canada; School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, 451 Smyth Road, Ottawa, K1H 8M5, Canada.

出版信息

Neurotoxicology. 2017 Jan;58:217-225. doi: 10.1016/j.neuro.2016.10.001. Epub 2016 Oct 5.

Abstract

INTRODUCTION

Manganese is an essential nutrient which can cause adverse effects if ingested to excess or in insufficient amounts, leading to a U-shaped exposure-response relationship. Methods have recently been developed to describe such relationships by simultaneously modeling the exposure-response curves for excess and deficiency. These methods incorporate information from studies with diverse adverse health outcomes within the same analysis by assigning severity scores to achieve a common response metric for exposure-response modeling.

OBJECTIVE

We aimed to provide an estimate of the optimal dietary intake of manganese to balance adverse effects from deficient or excess intake.

METHODS

We undertook a systematic review of the literature from 1930 to 2013 and extracted information on adverse effects from manganese deficiency and excess to create a database on manganese toxicity following oral exposure. Although data were available for seven different species, only the data from rats was sufficiently comprehensive to support analytical modelling. The toxicological outcomes were standardized on an 18-point severity scale, allowing for a common analysis of all available toxicological data. Logistic regression modelling was used to simultaneously estimate the exposure-response profile for dietary deficiency and excess for manganese and generate a U-shaped exposure-response curve for all outcomes.

RESULTS

Data were available on the adverse effects of 6113 rats. The nadir of the U-shaped joint response curve occurred at a manganese intake of 2.70mg/kgbw/day with a 95% confidence interval of 2.51-3.02. The extremes of both deficient and excess intake were associated with a 90% probability of some measurable adverse event.

CONCLUSION

The manganese database supports estimation of optimal intake based on combining information on adverse effects from systematic review of published experiments. There is a need for more studies on humans. Translation of our results from rats to humans will require adjustment for interspecies differences in sensitivity to manganese.

摘要

引言

锰是一种必需营养素,如果摄入过量或不足都会产生不良影响,从而导致U型暴露-反应关系。最近已开发出一些方法,通过同时对过量和不足的暴露-反应曲线进行建模来描述这种关系。这些方法在同一分析中纳入了来自具有不同不良健康结果的研究的信息,通过赋予严重程度评分来实现用于暴露-反应建模的共同反应指标。

目的

我们旨在估计锰的最佳膳食摄入量,以平衡因摄入不足或过量而产生的不良影响。

方法

我们对1930年至2013年的文献进行了系统综述,并提取了有关锰缺乏和过量的不良影响的信息,以创建一个口服暴露后锰毒性的数据库。尽管有7种不同物种的数据,但只有大鼠的数据足够全面,足以支持分析建模。毒理学结果在18分的严重程度量表上进行了标准化,以便对所有可用的毒理学数据进行共同分析。使用逻辑回归模型同时估计膳食中锰缺乏和过量的暴露-反应曲线,并为所有结果生成U型暴露-反应曲线。

结果

有6113只大鼠的不良反应数据。U型联合反应曲线的最低点出现在锰摄入量为2.70mg/kgbw/天,95%置信区间为2.51-3.02。摄入不足和过量的极端情况都与90%的某种可测量不良事件发生概率相关。

结论

锰数据库支持基于对已发表实验的系统综述中有关不良影响的信息合并来估计最佳摄入量。需要对人类进行更多研究。将我们从大鼠得出的结果转化为人类结果需要针对物种对锰的敏感性差异进行调整。

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