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Usage Information

NRG1-Fc improves metabolic health via dual hepatic and central action
Peng Zhang, Henry Kuang, Yanlin He, Sharon O. Idiga, Siming Li, Zhimin Chen, Zhao Yang, Xing Cai, Kezhong Zhang, Matthew J. Potthoff, Yong Xu, Jiandie D. Lin
Peng Zhang, Henry Kuang, Yanlin He, Sharon O. Idiga, Siming Li, Zhimin Chen, Zhao Yang, Xing Cai, Kezhong Zhang, Matthew J. Potthoff, Yong Xu, Jiandie D. Lin
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Research Article Endocrinology Metabolism

NRG1-Fc improves metabolic health via dual hepatic and central action

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Abstract

Neuregulins (NRGs) are emerging as an important family of signaling ligands that regulate glucose and lipid homeostasis. NRG1 lowers blood glucose levels in obese mice, whereas the brown fat–enriched secreted factor NRG4 protects mice from high-fat diet–induced insulin resistance and hepatic steatosis. However, the therapeutic potential of NRGs remains elusive, given the poor plasma half-life of the native ligands. Here, we engineered a fusion protein using human NRG1 and the Fc domain of human IgG1 (NRG1-Fc) that exhibited extended half-life in circulation and improved potency in receptor signaling. We evaluated its efficacy in improving metabolic parameters and dissected the mechanisms of action. NRG1-Fc treatment triggered potent AKT activation in the liver, lowered blood glucose, improved insulin sensitivity, and suppressed food intake in obese mice. NRG1-Fc acted as a potent secretagogue for the metabolic hormone FGF21; however, the latter was largely dispensable for its metabolic effects. NRG1-Fc directly targeted the hypothalamic POMC neurons to promote membrane depolarization and increase firing rate. Together, NRG1-Fc exhibits improved pharmacokinetic properties and exerts metabolic benefits through dual inhibition of hepatic gluconeogenesis and caloric intake.

Authors

Peng Zhang, Henry Kuang, Yanlin He, Sharon O. Idiga, Siming Li, Zhimin Chen, Zhao Yang, Xing Cai, Kezhong Zhang, Matthew J. Potthoff, Yong Xu, Jiandie D. Lin

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Usage data is cumulative from December 2024 through December 2025.

Usage JCI PMC
Text version 679 192
PDF 111 38
Figure 438 0
Citation downloads 124 0
Totals 1,352 230
Total Views 1,582
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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