LILAR, a novel long noncoding RNA regulating autophagy in the liver tissues of endotoxemic mice through a competing endogenous RNA mechanism

Author:

Tian Tian1,Li Shan1,Luo Haihua1,Li Yijing1,Chen Hanghang1,Yang Ying1,Chen Guangqin1,Xie Bingyao1,Yan Zhengzheng1,Wang Zhenqi1,Li Lei1,Jiang Yong1ORCID

Affiliation:

1. Guangdong Provincial Key Laboratory of Proteomics State Key Laboratory of Organ Failure Research Department of Pathophysiology School of Basic Medical Sciences Southern Medical University Guangzhou Guangdong China

Abstract

AbstractSepsis is an often‐deadly complication of infection that can lead to multiple organ failure. Previous studies have demonstrated that autophagy has a protective effect on liver injury in sepsis. Here, we report a novel long noncoding RNA (lncRNA), named lipopolysaccharide (LPS)‐induced liver autophagy regulator (LILAR), which was highly induced in the liver tissues of endotoxemic mice. LILAR deficiency significantly increased the susceptibility of mice to LPS. In contrast, LILAR overexpression rescued the liver injury mediated by LILAR deficiency and increased the survival of LILAR knockout mice with endotoxemia. Autophagy‐related protein 13 (Atg13) is a potential downstream target gene of LILAR. LILAR deficiency notably decreased Atg13 expression and suppressed autophagy in the livers of mice challenged with LPS. A reporter gene assay showed that LILAR competitively adsorbed miR‐705 to increase the expression of Atg13 in cultured cells, indicating that LILAR participates in the regulation of the autophagy in the liver tissues of endotoxemic mice through a competitive endogenous RNA mechanism. In summary, we identified a novel lncRNA, LILAR, as a hepatic autophagy regulator, which not only promotes our understanding of liver pathophysiology but also provides a potential therapeutic target and/or diagnostic biomarker for liver injury in endotoxemia.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Cell Biology,Biochemistry (medical),Genetics (clinical),Computer Science Applications,Drug Discovery,Genetics,Oncology,Immunology and Allergy

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