Demeng Xia1, Renqi Yao2, Panyu Zhou1, Chen Wang2, Yan Xia1, Shuogui Xu3. 1. Department of Emergency, Changhai Hospital, Naval Medical University, Shanghai, China. 2. Department of Burn, Changhai Hospital, Naval Medical University, Shanghai, China. 3. Department of Emergency, Changhai Hospital, Naval Medical University, Shanghai, China. Electronic address: yinwxushuo022@163.com.
Abstract
OBJECTIVE: This investigation was intended to elucidate lncRNA-miRNA networks that could explain inflammation underlying sepsis progression. METHODS: In the first place, four kinds of mice models were established, namely, SHAM group (n = 30), trauma (TH) group (n = 30), lipopolysaccharide (LPS) group (n = 30) and TH + LPS group (n = 30). Their lung, spleen and liver tissues were gathered for determination of TNF-α, IL-6, IL-10 and MCP-1 levels. Furthermore, mouse mononuclear macrophage leukemia cell line (RAW264.7) was stimulated by LPS to establish inflammation cell models. Then si-NEAT1s, pcDNA3.1-NEAT1, miR-495-3p mimic, miR-495-3p inhibitor, miR-NC, miR-211 mimic and miR-211 inhibitor were, respectively, transfected into the cells, so as to observe the impacts of NEAT1, miR-495-3p and miR-211 on cytokine levels released by the cells. RESULTS: The survival condition of mice in the TH + LPS group was undesirable, in relative to mice in the LPS group and SHAM group (both P < 0.05). High-level NEAT1 and low-level miR-495-3p/miR-211 were associated with poor survival of mice in the TH+LPS group (P < 0.05). Additionally, the correlation between NEAT1/miR-495-3p/miR-211 level and cytokine level was the strongest among TH+LPS-treated mice, in comparison to mice treated by TH or LPS. Furthermore, up-regulation of NEAT1 level and down-regulation of miR-495-3p/miR-211 level could aggravate inflammation in LPS-treated RAW264.7 cells. The miR-495-3p and miR-211 herein, were both subjected to sponging of NEAT1, possibly affected inflammation responses in RAW264.7 cells, respectively, through modulating STAT3 and PI3K/AKT signaling. CONCLUSION: LncRNA NEAT1 exhibited great potential sepsis diagnosis and treatment, considering its modifying miR-495-3p/STAT3 axis and miR-211/PI3K/AKT axis in inflammation cell models.
OBJECTIVE: This investigation was intended to elucidate lncRNA-miRNA networks that could explain inflammation underlying sepsis progression. METHODS: In the first place, four kinds of mice models were established, namely, SHAM group (n = 30), trauma (TH) group (n = 30), lipopolysaccharide (LPS) group (n = 30) and TH + LPS group (n = 30). Their lung, spleen and liver tissues were gathered for determination of TNF-α, IL-6, IL-10 and MCP-1 levels. Furthermore, mouse mononuclear macrophage leukemia cell line (RAW264.7) was stimulated by LPS to establish inflammation cell models. Then si-NEAT1s, pcDNA3.1-NEAT1, miR-495-3p mimic, miR-495-3p inhibitor, miR-NC, miR-211 mimic and miR-211 inhibitor were, respectively, transfected into the cells, so as to observe the impacts of NEAT1, miR-495-3p and miR-211 on cytokine levels released by the cells. RESULTS: The survival condition of mice in the TH + LPS group was undesirable, in relative to mice in the LPS group and SHAM group (both P < 0.05). High-level NEAT1 and low-level miR-495-3p/miR-211 were associated with poor survival of mice in the TH+LPS group (P < 0.05). Additionally, the correlation between NEAT1/miR-495-3p/miR-211 level and cytokine level was the strongest among TH+LPS-treated mice, in comparison to mice treated by TH or LPS. Furthermore, up-regulation of NEAT1 level and down-regulation of miR-495-3p/miR-211 level could aggravate inflammation in LPS-treated RAW264.7 cells. The miR-495-3p and miR-211 herein, were both subjected to sponging of NEAT1, possibly affected inflammation responses in RAW264.7 cells, respectively, through modulating STAT3 and PI3K/AKT signaling. CONCLUSION: LncRNA NEAT1 exhibited great potential sepsis diagnosis and treatment, considering its modifying miR-495-3p/STAT3 axis and miR-211/PI3K/AKT axis in inflammation cell models.
Authors: Linda M Ernst; Leena B Mithal; Karen Mestan; Vivien Wang; Kathy A Mangold; Alexa Freedman; Sanchita Das Journal: PLoS One Date: 2021-05-07 Impact factor: 3.240