Literature DB >> 32875357

Whole-brain R1 predicts manganese exposure and biological effects in welders.

David A Edmondson1,2,3, Chien-Lin Yeh1,2, Sébastien Hélie4, Ulrike Dydak5,6.   

Abstract

Manganese (Mn) is a neurotoxicant that, due to its paramagnetic property, also functions as a magnetic resonance imaging (MRI) T1 contrast agent. Previous studies in Mn toxicity have shown that Mn accumulates in the brain, which may lead to parkinsonian symptoms. In this article, we trained support vector machines (SVM) using whole-brain R1 (R1 = 1/T1) maps from 57 welders and 32 controls to classify subjects based on their air Mn concentration ([Mn]Air), Mn brain accumulation (ExMnBrain), gross motor dysfunction (UPDRS), thalamic GABA concentration (GABAThal), and total years welding. R1 was highly predictive of [Mn]Air above a threshold of 0.20 mg/m3 with an accuracy of 88.8% and recall of 88.9%. R1 was also predictive of subjects with GABAThal having less than or equal to 2.6 mM with an accuracy of 82% and recall of 78.9%. Finally, we used an SVM to predict age as a method of verifying that the results could be attributed to Mn exposure. We found that R1 was predictive of age below 48 years of age with accuracies ranging between 75 and 82% with recall between 94.7% and 76.9% but was not predictive above 48 years of age. Together, this suggests that lower levels of exposure (< 0.20 mg/m3 and < 18 years of welding on the job) do not produce discernable signatures, whereas higher air exposures and subjects with more total years welding produce signatures in the brain that are readily identifiable using SVM.

Entities:  

Keywords:  GABA; Machine learning; Magnetic resonance imaging; Manganese; Neuroimaging; Occupational exposure; R1; Welding

Mesh:

Substances:

Year:  2020        PMID: 32875357      PMCID: PMC7581414          DOI: 10.1007/s00204-020-02839-7

Source DB:  PubMed          Journal:  Arch Toxicol        ISSN: 0340-5761            Impact factor:   5.153


  33 in total

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Review 3.  A biokinetic model for manganese.

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4.  Mn2+ dynamics in manganese-enhanced MRI (MEMRI): Cav1.2 channel-mediated uptake and preferential accumulation in projection terminals.

Authors:  Benedikt T Bedenk; Suellen Almeida-Corrêa; Angela Jurik; Nina Dedic; Barbara Grünecker; Andreas J Genewsky; Sebastian F Kaltwasser; Caitlin J Riebe; Jan M Deussing; Michael Czisch; Carsten T Wotjak
Journal:  Neuroimage       Date:  2017-12-19       Impact factor: 6.556

5.  Pathophysiology of manganese-associated neurotoxicity.

Authors:  Brad A Racette; Michael Aschner; Tomas R Guilarte; Ulrike Dydak; Susan R Criswell; Wei Zheng
Journal:  Neurotoxicology       Date:  2011-12-21       Impact factor: 4.294

6.  Impact of manganese on and transfer across blood-brain and blood-cerebrospinal fluid barrier in vitro.

Authors:  Julia Bornhorst; Christoph A Wehe; Sabine Hüwel; Uwe Karst; Hans-Joachim Galla; Tanja Schwerdtle
Journal:  J Biol Chem       Date:  2012-03-28       Impact factor: 5.157

7.  Quantitative measurement of changes in calcium channel activity in vivo utilizing dynamic manganese-enhanced MRI (dMEMRI).

Authors:  Christoph Leuze; Yuichi Kimura; Jeff Kershaw; Sayaka Shibata; Tsuneo Saga; Kai-Hsiang Chuang; Ichiro Shimoyama; Ichio Aoki
Journal:  Neuroimage       Date:  2011-12-29       Impact factor: 6.556

8.  Neuropathology of Parkinson's disease dementia and dementia with Lewy bodies with reference to striatal pathology.

Authors:  Yoshio Tsuboi; Hirotake Uchikado; Dennis W Dickson
Journal:  Parkinsonism Relat Disord       Date:  2007       Impact factor: 4.891

9.  MRI and PET studies of manganese-intoxicated monkeys.

Authors:  H Shinotoh; B J Snow; K A Hewitt; B D Pate; D Doudet; R Nugent; D P Perl; W Olanow; D B Calne
Journal:  Neurology       Date:  1995-06       Impact factor: 9.910

10.  Manganese neurotoxicity: new perspectives from behavioral, neuroimaging, and neuropathological studies in humans and non-human primates.

Authors:  Tomás R Guilarte
Journal:  Front Aging Neurosci       Date:  2013-06-24       Impact factor: 5.750

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Journal:  Toxicol Sci       Date:  2022-05-26       Impact factor: 4.109

Review 2.  Emerging technologies and their impact on regulatory science.

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Journal:  Exp Biol Med (Maywood)       Date:  2021-11-16

Review 3.  Molecular Targets of Manganese-Induced Neurotoxicity: A Five-Year Update.

Authors:  Alexey A Tinkov; Monica M B Paoliello; Aksana N Mazilina; Anatoly V Skalny; Airton C Martins; Olga N Voskresenskaya; Jan Aaseth; Abel Santamaria; Svetlana V Notova; Aristides Tsatsakis; Eunsook Lee; Aaron B Bowman; Michael Aschner
Journal:  Int J Mol Sci       Date:  2021-04-28       Impact factor: 5.923

  3 in total

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