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


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.

DOI: 10.1016/j.neuro.2016.10.001

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@article{Milton2017ModelingUD, title={Modeling U-shaped dose-response curves for manganese using categorical regression.}, author={Brittany Milton and Daniel Krewski and Donald R . Mattison and Nataliya A Karyakina and Siva P Ramoju and Natalia S. Shilnikova and Nicholas J. Birkett and Patrick J. Farrell and Doreen McGough}, journal={Neurotoxicology}, year={2017}, volume={58}, pages={217-225} }