Active Diabetes, Hormones & Metabolism Psychology & Behaviour

Sympathetic Neural Circuitry Controlling Whole-body Metabolism

In plain English

AI plain-English summary

The brain’s sympathetic neurons—the nerves that prime the body for action—also control whether we burn fat or store it, but scientists have never been able to see exactly which neurons do what. This matters because obesity is linked to a breakdown in how the brain manages energy balance. The sympathetic nervous system is vast and tangled, with thousands of neurons packed into tiny clusters along the spine. Until now, researchers could not map these circuits at the level of individual cells, so they could not tell which neurons trigger fat burning and which control heart rate or blood pressure. The team is building a complete molecular and anatomical atlas of these neurons using light-sheet microscopy that images entire ganglia at single-cell resolution, machine learning to decode gene activity, and genetic tools to test each neuron’s function. They have already discovered a new type of inhibitory interneuron in the peripheral nervous system—something never seen before—that appears in ganglia that do not connect to the heart. If this atlas succeeds, it could reveal how to selectively activate fat-burning circuits without affecting heart function, opening a path toward anti-obesity treatments that avoid cardiovascular side effects. This is fundamental neuroscience: the immediate payoff is understanding how the brain organises whole-body metabolism, not a therapy. But mapping these circuits is the necessary first step before anyone can design drugs or devices that target them.

View original technical description
The brain regulates physiology, including body weight, through descending autonomic sympathetic neurons. Therefore, mapping the vast, but poorly defined array of sympathetic neurons is critical to understand the neural control of metabolism, particularly obesity. However, the functional mapping of sympathetic neural networks has been hampered by their size and inaccessible anatomical location. My laboratory is developing a unique combination of strategies to discover the sympathetic neural circuits that selectively burn fat. Our approach is based on developing both an anatomical and molecular atlas. We do this using our novel light sheet imaging of the mouse paravertebral sympathetic ganglia which has single-neuron resolution, our novel single-cell algorithms, machine learning-driven spatial transcriptomics and 3) intersectional mouse models to discover the functional relevance of the newly identified sympathetic neuronal networks and their selective effects on controlling metabolism versus as heart rate. This approach has uncovered inhibitory sympathetic interneurons, which were never seen in the peripheral nervous system. These interneurons primarily populate ganglia that do not innervate the heart, offering fundamentally new insights into sympathetic neuroscience and potential cardioprotective anti-obesity mechanisms that burn fat.

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Researchers

Ana Domingos (EPMC Awardee)

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Original classification

Discovery Award

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