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Neurochemistry and Neuroendocrinology Laboratory, Department of Biotechnology, Guru Nanak Dev University, Amritsar-143005, Punjab, India

(Requests for offprints should be addressed to G Kaur; Email: gurcharank{at}yahoo.com)

The gonadotropin-releasing hormone (GnRH) neurosecretory system undergoes marked structural and functional changes during the ovarian cycle. The aim of this study was to examine the neuroanatomical relationship between GnRH neurons and a polysialylated form of neural cell adhesion molecule (PSA-NCAM), a known marker of neuronal plasticity. Using immunohistofluorescent dual labeling, we determined that axon terminals of GnRH in the median arcuate nucleus (ME-ARC) region of the hypothalamus in the proestrous phase of the estrous cycle were intimately associated with PSA-NCAM. To further examine whether PSA-NCAM expression associated with GnRH neuron terminals varies in conjugation with cyclic changes in ovarian steroid hormone levels, we examined GnRH and PSA-NCAM dual expression in ovariectomized (OVX) and estrogen–progesterone-primed OVX (EBP-OVX) rats. The expression of PSA-NCAM immunoreactivity associated with the GnRH neurons in the proestrous phase and EBP-OVX rats was significantly higher than during the diestrous phase and in OVX rats where GnRH secretion declines. We further examined whether the structural changes in GnRH axon terminals in the ME-ARC region are also associated with glial plasticity. By extension and retraction of the glial processes, the GnRH neuron terminals in the ME-ARC region could undergo dynamic plastic changes that control GnRH release during the proestrous phase. PSA-NCAM expression was also seen on glial cells in the ME-ARC region. The close association between PSA-NCAM on GnRH and glial cells in the ME-ARC region of the hypothalamus in the rat showed dynamic structural changes in GnRH neuron terminals during the estrous cycle. These observations suggested that PSA-NCAM may act as a molecular substrate to promote neuroplastic changes in the GnRH neurosecretory system.

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