Determination of true Glia-Neuron Ratios: Validation of the Isotropic Fractionato

University Of Nevada Reno, Reno NV

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Abstract

DESCRIPTION (provided by applicant): Major neurological and psychiatric diseases have been reported to be associated with significantly changed glia densities, but considerable confusion surrounds the question of the true numbers and ratios of neurons and glial cells in the brains of humans and animals. Traditionally and per textbook knowledge, it was thought that glial cells outnumber neurons by a ratio of between 10:1 and 50:1. Recently introduced new counting techniques have challenged this belief and postulate a ratio of approximately 1:1, reducing the number of glial cells in the human brain from previous estimates by as much as 4.9 trillion (from 5 trillion to a mere 100 billion). The new, much lower estimates of glial cells are primarily based on a novel methodological approach, the isotropic fractionator (IF). However, this technique has not been calibrated or validated. It is therefore uncertain whether it produces true numbers or may possibly be biased towards larger particles (neuronal nuclei) and may underestimate smaller ones (glial nuclei). The fractionator technique homogenizes whole brains (or dissected parts thereof), then takes samples of the cell nuclei in solution, and uses antibody labeling to distinguish neuronal nuclei from other nuclei such as glia in sample solutions. While conceptually elegant, it remains to be calibrated against known numbers and ratios of neurons and glial cells. Therefore, we propose a series of calibrations that will unambiguously determine the presence or absence of any biases in the isotropic fractionator (IF) technique. We will probe a variety of human and non-human primate brain regions (primarily white matter tracts) to determine whether the fractionator accurately estimates numbers of glial cells. The same brain regions will be examined by measuring DNA content (which can directly reflect cell numbers), and by histology, using systematic random sampling to independently estimate glial numbers and ratios. Preliminary data indicate that the histological approach is most suitable to provide a gold standard for comparison. Modern stereological sampling techniques will identify the ratios of cell types at the ultrastructural level. This work will clarify true neuron-glia ratios in the bain and other parts of the CNS. Validation of the new fractionator method will be crucial for understanding neurological and psychiatric diseases with reported imbalances of glia cell densities, such as schizophrenia, autism, bipolar disease, and depression.