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Usage Information

O-GlcNAc transferase suppresses necroptosis and liver fibrosis
Bichen Zhang, Min-Dian Li, Ruonan Yin, Yuyang Liu, Yunfan Yang, Kisha A. Mitchell-Richards, Jin Hyun Nam, Rui Li, Li Wang, Yasuko Iwakiri, Dongjun Chung, Marie E. Robert, Barbara E. Ehrlich, Anton M. Bennett, Jun Yu, Michael H. Nathanson, Xiaoyong Yang
Bichen Zhang, Min-Dian Li, Ruonan Yin, Yuyang Liu, Yunfan Yang, Kisha A. Mitchell-Richards, Jin Hyun Nam, Rui Li, Li Wang, Yasuko Iwakiri, Dongjun Chung, Marie E. Robert, Barbara E. Ehrlich, Anton M. Bennett, Jun Yu, Michael H. Nathanson, Xiaoyong Yang
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Research Article Hepatology Inflammation

O-GlcNAc transferase suppresses necroptosis and liver fibrosis

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Abstract

Worldwide, over a billion people suffer from chronic liver diseases, which often lead to fibrosis and then cirrhosis. Treatments for fibrosis remain experimental, in part because no unifying mechanism has been identified that initiates liver fibrosis. Necroptosis has been implicated in multiple liver diseases. Here, we report that O-linked β-N-acetylglucosamine (O-GlcNAc) modification protects against hepatocyte necroptosis and initiation of liver fibrosis. Decreased O-GlcNAc levels were seen in patients with alcoholic liver cirrhosis and in mice with ethanol-induced liver injury. Liver-specific O-GlcNAc transferase–KO (OGT-LKO) mice exhibited hepatomegaly and ballooning degeneration at an early age and progressed to liver fibrosis and portal inflammation by 10 weeks of age. OGT-deficient hepatocytes underwent excessive necroptosis and exhibited elevated protein expression levels of receptor-interacting protein kinase 3 (RIPK3) and mixed lineage kinase domain-like (MLKL), which are key mediators of necroptosis. Furthermore, glycosylation of RIPK3 by OGT is associated with reduced RIPK3 protein stability. Taken together, these findings identify OGT as a key suppressor of hepatocyte necroptosis, and OGT-LKO mice may serve as an effective spontaneous genetic model of liver fibrosis.

Authors

Bichen Zhang, Min-Dian Li, Ruonan Yin, Yuyang Liu, Yunfan Yang, Kisha A. Mitchell-Richards, Jin Hyun Nam, Rui Li, Li Wang, Yasuko Iwakiri, Dongjun Chung, Marie E. Robert, Barbara E. Ehrlich, Anton M. Bennett, Jun Yu, Michael H. Nathanson, Xiaoyong Yang

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Usage data is cumulative from June 2025 through June 2026.

Usage JCI PMC
Text version 1,564 180
PDF 179 57
Figure 871 1
Table 171 0
Supplemental data 113 15
Citation downloads 196 0
Totals 3,094 253
Total Views 3,347
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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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