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Usage Information

The negative feedback loop of NF-κB/miR-376b/NFKBIZ in septic acute kidney injury
Zhiwen Liu, Chengyuan Tang, Liyu He, Danyi Yang, Juan Cai, Jiefu Zhu, Shaoqun Shu, Yuxue Liu, Lijun Yin, Guochun Chen, Yu Liu, Dongshan Zhang, Zheng Dong
Zhiwen Liu, Chengyuan Tang, Liyu He, Danyi Yang, Juan Cai, Jiefu Zhu, Shaoqun Shu, Yuxue Liu, Lijun Yin, Guochun Chen, Yu Liu, Dongshan Zhang, Zheng Dong
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Research Article Nephrology

The negative feedback loop of NF-κB/miR-376b/NFKBIZ in septic acute kidney injury

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Abstract

Sepsis is the leading cause of acute kidney injury (AKI). However, the pathogenesis of septic AKI remains largely unclear. Here, we demonstrate a significant decrease of microRNA-376b (miR-376b) in renal tubular cells in mice with septic AKI. Urinary miR-376b in these mice was also dramatically decreased. Patients with sepsis with AKI also had significantly lower urinary miR-376b than patients with sepsis without AKI, supporting its diagnostic value for septic AKI. LPS treatment of renal tubular cells led to the activation of NF-κB, and inhibition of NF-κB prevented a decrease of miR-376b. ChIP assay further verified NF-κB binding to the miR-376b gene promoter upon LPS treatment. Functionally, miR-376b mimics exaggerated tubular cell death, kidney injury, and intrarenal production of inflammatory cytokines, while inhibiting miR-376b afforded protective effects in septic mice. Interestingly, miR-376b suppressed the expression of NF-κB inhibitor ζ (NFKBIZ) in both in vitro and in vivo models of septic AKI. Luciferase microRNA target reporter assay further verified NFKBIZ as a direct target of miR-376b. Collectively, these results illustrate the NF-κB/miR-376b/NFKBIZ negative feedback loop that regulates intrarenal inflammation and tubular damage in septic AKI. Moreover, urinary miR-376b is a potential biomarker for the diagnosis of AKI in patients with sepsis.

Authors

Zhiwen Liu, Chengyuan Tang, Liyu He, Danyi Yang, Juan Cai, Jiefu Zhu, Shaoqun Shu, Yuxue Liu, Lijun Yin, Guochun Chen, Yu Liu, Dongshan Zhang, Zheng Dong

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Usage data is cumulative from December 2024 through December 2025.

Usage JCI PMC
Text version 670 201
PDF 108 72
Figure 435 4
Table 103 0
Supplemental data 51 12
Citation downloads 104 0
Totals 1,471 289
Total Views 1,760
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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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