Gαq protein signaling in the bed nucleus of the stria terminalis regulate the lipopolysaccharide-induced despair-like behavior in mice

GABAergic circuit interaction between central amygdala and bed nucleus of the stria terminalis in lipopolysaccharide-induced despair-like behavior

Hyperexcitability of central amygdala (CeA) induces depressive symptoms. The bed nucleus of the stria terminalis (BNST) receives GABAergic input from the CeA. However, it remains unclear whether the GABAergic neurons in the CeA projecting to BNST contribute to major depression. Here, we investigated the roles of GABAergic neurons in CeA and BNST in lipopolysaccharide (LPS)-induced despair-like behavior. We generated adeno-associated virus vectors (AAV) carrying shRNA against Gad67 to knock down GAD67 expression in CeA (Gad67-KD-CeA) or BNST (Gad67-KD-BNST) in C57BL/6J male mice. Despair-like behavior was assessed by tail suspension test (TST) 24 h after LPS administration. Saline-treated Gad67-KD-CeA mice exhibited longer immobility during TST than saline-treated AAV-injected control (AAV-Cont) mice. Although LPS increased immobility time in AAV-Cont mice, it did not affect immobility time in Gad67-KD-CeA mice. While LPS did not affect the immobility time in Gad67-KD-BNST mice, it increased immobility time in AAV-Cont mice. We injected GFP-expressing AAV with a Dlx promoter, specifically expressed in GABAergic neurons, into CeA, and FluoroGold, a retrograde neuronal tracer, into the BNST. GFP signals associated with CeA GABAergic neurons were detected in the BNST, contacting c-fos and GAD67-expressed cells following LPS. We detected the FluoroGold signals in GAD67- and c-fos-expressed neurons in the CeA after LPS administration. Bilateral intra-BNST injection of muscimol (2 pmol), a GABAA receptor agonist, increased immobility time during TST. These findings suggest that LPS-decreased GABAergic activity in the CeA may lead to disinhibition of GABAergic interneurons in the BNST, resulting in GABAA receptor activation and subsequently induces despair-like behavior.

The Central Inflammatory Network: A Hypothalamic fMRI Study of Experimental Endotoxemia in Humans

INTRODUCTION

Inflammation is a mechanism of the immune system that is part of the reaction to pathogens or injury. The central nervous system closely regulates inflammation via neuroendocrine or direct neuroimmune mechanisms, but our current knowledge of the underlying circuitry is limited. Therefore, we aimed to identify hypothalamic centres involved in sensing or modulating inflammation and to study their association with known large-scale brain networks.

METHODS

Using high-resolution functional magnetic resonance imaging (fMRI), we recorded brain activity in healthy male subjects undergoing experimental inflammation from intravenous endotoxin. Four fMRI runs covered key phases of the developing inflammation: pre-inflammatory baseline, onset of endotoxemia, onset of pro-inflammatory cytokinemia, and peak of pro-inflammatory cytokinemia. Using masked independent component analysis, we identified functionally homogeneous subregions of the hypothalamus, which were further tested for changes in functional connectivity during inflammation and for temporal correlation with tumour necrosis factor and adrenocorticotropic hormone serum levels. We then studied the connection of these inflammation-associated hypothalamic subregions with known large-scale brain networks.

RESULTS

Our results show that there are at least 6 hypothalamic subregions associated with inflammation in humans including the paraventricular nucleus, supraoptic nucleus, dorsomedial hypothalamus, bed nucleus of the stria terminalis, lateral hypothalamic area, and supramammillary nucleus. They are functionally embedded in at least 3 different large-scale brain networks, namely a medial frontoparietal network, an occipital-pericentral network, and a midcingulo-insular network.

CONCLUSION

Measuring how the hypothalamus detects or modulates systemic inflammation is a first step to understand central nervous immunomodulation.