Literature DB >> 27720796

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

Brittany Milton1, Daniel Krewski2, Donald R Mattison3, Nataliya A Karyakina3, Siva Ramoju4, Natalia Shilnikova3, Nicholas Birkett5, Patrick J Farrell6, Doreen McGough7.   

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.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Categorical regression; Deficiency; Excess; Manganese toxicity; U-shaped dose-response curve

Mesh:

Substances:

Year:  2016        PMID: 27720796     DOI: 10.1016/j.neuro.2016.10.001

Source DB:  PubMed          Journal:  Neurotoxicology        ISSN: 0161-813X            Impact factor:   4.294


  5 in total

1.  Antioxidant activity of Coridius chinensis extracts on manganese-induced testicular damage in rats.

Authors:  Qiongyou Liu; Changhuo Cen; Huihui Fu; Fengyue Wang; Yong Wang; Tiantian Xu; Xiaohui Hou
Journal:  Environ Toxicol       Date:  2019-05-29       Impact factor: 4.119

Review 2.  Critical Review of Exposure and Effects: Implications for Setting Regulatory Health Criteria for Ingested Copper.

Authors:  Alicia A Taylor; Joyce S Tsuji; Michael R Garry; Margaret E McArdle; William L Goodfellow; William J Adams; Charles A Menzie
Journal:  Environ Manage       Date:  2019-12-12       Impact factor: 3.266

3.  Amyotrophic Lateral Sclerosis After Exposure to Manganese from Traditional Medicine Procedures in Kenya.

Authors:  Elin Roos; Sebastian K T S Wärmländer; Jeremy Meyer; Sabrina B Sholts; Jüri Jarvet; Astrid Gräslund; Per M Roos
Journal:  Biol Trace Elem Res       Date:  2020-11-23       Impact factor: 3.738

Review 4.  Metals in ALS TDP-43 Pathology.

Authors:  Lassi Koski; Cecilia Ronnevi; Elina Berntsson; Sebastian K T S Wärmländer; Per M Roos
Journal:  Int J Mol Sci       Date:  2021-11-11       Impact factor: 5.923

5.  Dose-Related Severity Sequence, and Risk-Based Integration, of Chemically Induced Health Effects.

Authors:  Salomon Sand; Roland Lindqvist; Dietrich von Rosen; Nils-Gunnar Ilbäck
Journal:  Toxicol Sci       Date:  2018-09-01       Impact factor: 4.849

  5 in total

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