An excitatory circuit in the ventrolateral periaqueductal gray drives hypometabolic state during acute systemic inflammation
Year: 2025
Type: article
Abstract: Hypometabolism, characterized by hypothermia and cardiovascular depression, is associated with higher mortality in patients with septic shock. However, the neural substrates underlying the hypometabolic state during systemic inflammation remain poorly understood. Here, using activity-dependent genetic labeling of neurons activated by lipopolysaccharide (LPS) administration and cecal ligation and puncture (CLP) in mice, we identified a discrete population of glutamatergic neurons in the ventrolateral periaqueductal gray (vlPAG) that drives hypothermia and cardiovascular depression. Optogenetic stimulation of vlPAG vglut2 neurons induced hypothermia and cardiovascular depression in healthy mice, whereas their genetic ablation attenuated the reductions in core temperature and cardiovascular function observed during systemic inflammation. Furthermore, we demonstrated that projections from vlPAG vglut2 neurons to the nucleus tractus solitarius mediate these hypometabolic pathophysiological effects. Taken together, our findings reveal a vlPAG excitatory circuit that regulates hypometabolic responses to systemic inflammation, providing potential therapeutic targets for mitigating severe sepsis-induced hypothermia and cardiovascular dysfunction.
Source: Cell Reports
Authors: Tuxiu Xie, Jiakun Xiang, Yu He, Mi Tian, Wei Zhan, Ling-Yang Hua, Shuixiang Deng, Rui Pan, Yunling Gao, Ming Chen, Rongfeng K. Hu, Ye Gong, Zhi-Xiang Xu
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $5,620
Funders: Natural Science Foundation of Shanghai, Shanghai Municipal Health Commission, National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, Natural Science Foundation of Hubei Province, Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning
OpenAlex ID: W4414804830
