<p>Feeding is an innate behavior critical for survival but is also influenced by many non-nutritional factors such as emotion, social context and environmental conditions. Recently, tuberal nucleus somatostatin (<sup>TN</sup>SST) neurons have been identified as a key feeding regulation node. To gain a deeper understanding of the <sup>TN</sup>SST neural networks, we quantitatively characterised the brain-wide input-output configuration of mice <sup>TN</sup>SST neurons using the VITALISTIC method (<Emphasis Type="Underline">Vi</Emphasis>ral <Emphasis Type="Underline">T</Emphasis>racing <Emphasis Type="Underline">A</Emphasis>ssisted by <Emphasis Type="Underline">Li</Emphasis>ght-<Emphasis Type="Underline">S</Emphasis>heet microscope and <Emphasis Type="Underline">Ti</Emphasis>ssue <Emphasis Type="Underline">C</Emphasis>learing) and single-cell projectomes by fluorescence micro-optical sectioning tomography (fMOST). We found that <sup>TN</sup>SST neurons receive direct inputs from and send outputs to a broad range of brain regions, including many cortical and subcortical areas. Differently from AgRP neurons, the extensively studied ‘hunger’ neurons, <sup>TN</sup>SST neurons receive more diverse inputs from extra-hypothalamic regions and neuromodulatory centers. Using the projection-specific input tracing, we further revealed fine-tuning of the input-output configuration of <sup>TN</sup>SST neurons that align with specific functional needs.</p>

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Brain-wide input-output analysis of tuberal nucleus somatostatin neurons reveals hierarchical circuits for orchestrating feeding behavior

  • Esra Senol,
  • Menghan Wang,
  • Yongjuan Xin,
  • Zhuolei Jiao,
  • Hasan Mohammad,
  • Xin Yi Yeo,
  • Tengxiao Si,
  • David M. Young,
  • Hua Huang,
  • Yingxue Wang,
  • Qin Li,
  • Sang Yong Jung,
  • Xiaohong Xu,
  • Pei Zhang,
  • Yu Fu

摘要

Feeding is an innate behavior critical for survival but is also influenced by many non-nutritional factors such as emotion, social context and environmental conditions. Recently, tuberal nucleus somatostatin (TNSST) neurons have been identified as a key feeding regulation node. To gain a deeper understanding of the TNSST neural networks, we quantitatively characterised the brain-wide input-output configuration of mice TNSST neurons using the VITALISTIC method (Viral Tracing Assisted by Light-Sheet microscope and Tissue Clearing) and single-cell projectomes by fluorescence micro-optical sectioning tomography (fMOST). We found that TNSST neurons receive direct inputs from and send outputs to a broad range of brain regions, including many cortical and subcortical areas. Differently from AgRP neurons, the extensively studied ‘hunger’ neurons, TNSST neurons receive more diverse inputs from extra-hypothalamic regions and neuromodulatory centers. Using the projection-specific input tracing, we further revealed fine-tuning of the input-output configuration of TNSST neurons that align with specific functional needs.