Optimization of dopaminergic neuron counting in substantia nigra of parkinsonian mice |
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Authors: | V G Khaindrava P V Ershov V E Antsiperov Yu V Obukhov A K Nanaev M V Ugryumov |
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Institution: | 1.Anokhin Institute of Normal Physiology,Russian Academy of Medical Sciences,Moscow,Russia;2.Institute of Radiotecknics and Electronics,Russian Academy of Sciences,Moscow,Russia;3.Koltzov Institute of Developmental Biology,Russian Academy of Sciences,Moscow,Russia |
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Abstract: | Parkinson’s disease (PD) results from the degeneration of dopaminergic (DA-ergic) neurons of substantia nigra pars compacta
(SNc). The disease is modeled in mice by the administration of a neurotoxin precursor 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine
(MPTP). Neurotoxin efficiency is estimated by reduced number of DA-ergic neurons in SNc. Cell counting on serial sections
is very laborious and expensive and, therefore, is not widely used in spite of its high precision. The well-known Konigsmark’s
formula (KF) allows one to perform counting on sections chosen with a certain interval rather than to utilize serial sections.
However, its precision decreases with increasing interval and other parameters. In this paper, we described the mathematical
method of approximation (MA) by improving KF. MA maintains counting precision and allows one to reduce the time and expenses
for material processing and analysis. |
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