HINDBRAIN GLUCOPRIVIC REGULATION OF THE HPG AXIS - Nutrient availability is a key determinant of reproductive function. Specialized neurons in
the brain monitor cellular metabolic stasis, and signal changes in oxidizable substrate fuels to
the hypothalamic‐pituitary‐gonadal (HPG) axis. The periventricular caudal hindbrain is a
recognized source of glucoprivic regulatory stimuli that restrain reproductive neuroendocrine
function, but the neuroanatomical and neurochemical features of the circuitry that links
medullary metabolic sensing and preoptic gonadotropin‐releasing hormone (GnRH) neurons
remain unclear. The ovarian steroid, estradiol, controls HPG function through negative and
positive feedback; estradiol amplifies glucoprivic inhibition of luteinizing hormone (LH)
secretion in ovariectomized rats, but the cellular substrates and mechanisms of such action are
not known. The overarching premise of this proposal is that A2 noradrenergic neurons in the caudal
dorsal vagal complex detect and signal neuroglucopenia to the HPG axis via neuroanatomical projections
to the medial preoptic nucleus (MPN). It is also presumed that norepinephrine (NE)‐driven glucoprivic
inhibition of LH is mediated by downstream modifications in preoptic γ‐aminobutyric acid (GABA) and
kisspeptin neurotransmission.
Specific aim 1 will investigate the impact of neuroglucopenia on catecholamine biosynthetic
enzyme and metabolic transducer gene profiles in MPN‐projecting A2 neurons during estrogencontrolled
basal and elevated NE neurotransmission. Single‐cell quantitative real‐time RT‐PCR
will be performed to assess effects of neuroglucopenia on catecholamine biosynthetic enzyme
and metabolic transducer mRNA profiles in MPN‐projecting A2 neurons exposed to physiological
nadir versus peak estradiol secretion. In light of our evidence that A2 neurons express
estrogen receptor‐alpha (ERα) and ‐beta (ERβ) mRNA and protein, and that this gene transcript
ratio is governed by estradiol concentration, pharmacological tools will be used here to discern
the role of these receptor subtypes in estrogen‐controlled patterns of A2 signaling to the MPN,
as well as glucoprivic enhancement versus reduction of the former and latter NEergic signals.
The second project aim will characterize the role of MPN GABAergic neurons in hindbrain
glucoprivic inhibition of the HPG axis, and evaluate the impact of estradiol on cellular reactivity
to glucoprivic‐driven noradrenergic signaling. Proposed studies will evaluate the role of this
cell population in hindbrain glucoprivic suppression of the HPG axis by examining the impact
of immunolesion‐based destruction of MPN GABA neurons on glucoprivic patterns of LH secretion.
Our data show that the direction of MPN GABAergic reactivity to glucoprivic NE signaling
is estrogen concentration‐dependent; these results will be expanded by experiments
aimed at evaluating the role of ERα and ERβ in the switch from positive to negative α1‐adrenergic
receptor‐mediated control of MPN GABA neurons during nadir versus peak estradiol secretion.
Finally, multi‐transcriptional profiling of individual MPN GAD‐ir neurons will be performed
to determine if estrogenic and noradrenergic signals converge on these cells.
Specific aim 3 will determine if preoptic KiSS1 neurons are restrained by hindbrain glucoprivation,
and examine whether these neurons function downstream of the A2 NE‐MPN GABA
signaling cascade. We will investigate the impact of neuroglucopenia on AVPV KiSS1 gene expression,
and examine whether inhibition of GnRH neuronal activation and LH secretion by
this stimulus is reversed by exogenous kisspeptin administration into the rostral preoptic area.
Since our data show that AVPV GABAA receptors mediate inhibitory effects of glucoprivic patterns
of GABA neurotransmission on the HPG axis, we will examine whether pharmacological
manipulation of AVPV GABAA receptors attenuates hindbrain glucoprivic regulation of AVPV
KiSS1 gene expression. Lastly, we will investigate the impact of ER subtypes on KiSS1 neuronal
reactivity to homeostatic and glucoprivic patterns of GABA input.