Literature DB >> 19267210

Variation of cholinergic biomarkers in brain regions and blood components of captive mink.

Niladri Basu1, Anton Scheuhammer, Kirsti Rouvinen-Watt, Nicole Grochowina, Douglas Evans, Hing Man Chan.   

Abstract

Studies are increasingly using cholinergic parameters as biomarkers of early neurotoxicity, but few have characterized this system in ecologically relevant model organisms. In the present study, key neurochemicals in the cholinergic pathway were measured and analyzed from discrete parts of brain and blood from captive mink (Mustela vison). Similar to other mammals, the regional distribution of cholinergic parameters in the brain could be ranked from highest to lowest as: basal ganglia > occipital cortex > brain stem > cerebellum (F (3,192) = 172.1, p < 0.001). Higher variation in cholinergic parameters was found in the cerebellum (coefficient of variation = 34.9%), and the least variation was measured in the brain stem (19.7%). Variation was also assessed by calculating the difference between the lowest and highest measures among individual animals: choline acetyltransferase (1.6x fold difference), cholinesterase (2.0x), muscarinic receptor levels (2.4x), acetylcholine (3.7x), nicotinic receptor levels (3.9x), and choline transporter (5.0x). In blood samples, activity and inter-individual variation of cholinesterase was highest in whole blood and lowest in plasma and serum. By using captive mink of a common genetic source, age, gender, and rearing conditions, these data help establish normal levels, ranges, and variations of cholinergic biomarkers among brain regions, blood components, and individual animals. Such information may better enable the utility of cholinergic biomarkers in environmental assessments.

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Year:  2009        PMID: 19267210     DOI: 10.1007/s10661-009-0803-2

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  32 in total

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Authors:  P M Salvaterra; H R Mahler; W J Moore
Journal:  J Biol Chem       Date:  1975-08-25       Impact factor: 5.157

Review 2.  High-affinity choline transporter.

Authors:  Takashi Okuda; Tatsuya Haga
Journal:  Neurochem Res       Date:  2003-04       Impact factor: 3.996

Review 3.  Choline acetyltransferase: the structure, distribution and pathologic changes in the central nervous system.

Authors:  Y Oda
Journal:  Pathol Int       Date:  1999-11       Impact factor: 2.534

4.  Effects of mercury on neurochemical receptor-binding characteristics in wild mink.

Authors:  Niladri Basu; Kate Klenavic; Mary Gamberg; Mike O'Brien; Doug Evans; Anton M Scheuhammer; Hing Man Chan
Journal:  Environ Toxicol Chem       Date:  2005-06       Impact factor: 3.742

5.  Mercury but not organochlorines inhibits muscarinic cholinergic receptor binding in the cerebrum of ringed seals (Phoca hispida).

Authors:  Niladri Basu; Michael Kwan; Hing Man Chan
Journal:  J Toxicol Environ Health A       Date:  2006-06

Review 6.  Molecular biology of muscarinic acetylcholine receptors.

Authors:  J Wess
Journal:  Crit Rev Neurobiol       Date:  1996

7.  Neurotransmitter receptors in the avian brain. II. Muscarinic cholinergic receptors.

Authors:  M M Dietl; R Cortés; J M Palacios
Journal:  Brain Res       Date:  1988-01-26       Impact factor: 3.252

Review 8.  Acetylcholinesterase: 'classical' and 'non-classical' functions and pharmacology.

Authors:  Israel Silman; Joel L Sussman
Journal:  Curr Opin Pharmacol       Date:  2005-06       Impact factor: 5.547

9.  Methylmercury impairs components of the cholinergic system in captive mink (Mustela vison).

Authors:  Niladri Basu; Anton M Scheuhammer; Kirsti Rouvinen-Watt; Nicole Grochowina; Kate Klenavic; R Douglas Evans; Hing Man Chan
Journal:  Toxicol Sci       Date:  2006-01-30       Impact factor: 4.849

10.  Sodium-dependent high-affinity binding of [3H]hemicholinium-3 in the rat brain: a potentially selective marker for presynaptic cholinergic sites.

Authors:  T W Vickroy; W R Roeske; H I Yamamura
Journal:  Life Sci       Date:  1984-12-03       Impact factor: 5.037

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