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Modeling U-shaped dose-response curves for manganese using categorical regression
Brittany Milton1, Daniel Krewski2, Donald R Mattison3
1Risk Sciences International, 55 Metcalfe Street, Suite 700, K1P 6L5, Ottawa, Canada.
Optimal manganese intake balances essential nutrient needs, preventing adverse effects from deficiency or excess. This study estimates this optimal level using a U-shaped exposure-response model in rats, highlighting the need for human studies.
Area of Science:
- Nutritional Science
- Toxicology
- Biostatistics
Background:
- Manganese is an essential nutrient with a narrow optimal intake range.
- Both insufficient and excessive manganese intake can lead to adverse health effects.
- A U-shaped exposure-response relationship characterizes manganese's impact on health.
Purpose of the Study:
- To estimate the optimal dietary intake of manganese.
- To balance the risks associated with manganese deficiency and excess intake.
- To model the U-shaped exposure-response relationship for manganese.
Main Methods:
- Conducted a systematic literature review (1930-2013) on manganese deficiency and excess.
- Created a database of oral manganese toxicity from diverse studies.
- Standardized toxicological outcomes on an 18-point severity scale and used logistic regression for U-shaped curve modeling.
Main Results:
- Analyzed data from 6113 rats, establishing a comprehensive manganese toxicity database.
- The nadir of the U-shaped curve, representing optimal intake, was estimated at 2.70 mg/kg body weight/day (95% CI: 2.51-3.02).
- Both deficient and excess manganese intake were associated with a 90% probability of adverse events.
Conclusions:
- The developed manganese database aids in estimating optimal intake by integrating adverse effect data.
- Further human studies are crucial for validating and applying these findings.
- Interspecies differences in manganese sensitivity necessitate adjustments for translating rat data to humans.
Related Concept Videos
Dose Response Curve: Conventional Versus Nonmonotonic
Dose-Response Relationship: Overview
Dosage Regimen Designs: Nomograms and Tabulations
Mechanistic Models: Compartment Models in Individual and Population Analysis
Dose-Response Relationship: Selectivity and Specificity
Pharmacodynamic Models: Additive and Proportional Drug Effect Model

