Autophagy Improves Inflammatory Response in Sepsis Accompanied by Changes in Gut Microbiota

自噬改善脓毒症炎症反应并伴随肠道菌群变化

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作者:La Wang, WenJia Wang, GuiTong Jiang, ZunLi Ke, RuiXi Luo, WeiYi Tian

Background

Sepsis is defined as a life-threatening disease. Autophagy and the microbiome are increasingly connected with sepsis. The

Conclusion

Autophagy is able to improve inflammation and may directly or indirectly regulate the microbiota of septic rats. Autophagy may be an important target for future clinical interventions in the treatment of sepsis.

Methods

The septic rat model was established by cecal ligation perforation (CLP). Rapamycin (Rap), 3-methyladenine (3-MA), and chloroquine (CQ) were administered to interfere autophagy. Western blot (WB) was used to detect the expression of key proteins in autophagy. Hematoxylin and eosin (H&E) staining and enzyme-linked immunosorbent assays (ELISAs) were used to identify the effect of autophagy on various organs. 16S ribosomal RNA gene sequencing was used to analyze the changes of the gut microbiota.

Results

Rap significantly upregulated the expression of key autophagy proteins, and 3-MA reduced the relative expression compared to the CLP group. The autophagic flux showed a corresponding trend. Interestingly, the autophagy inducer significantly decreased the mortality and the lipopolysaccharide (LPS) level in serum compared with the CLP group. Autophagy activation significantly improves the inflammatory response in sepsis. Histopathological sections showed that CLP destroyed the tight junctions between ileal epithelial cells, while autophagy induction reversed the damage. The sequencing results showed that autophagy activation increased the alpha diversity and alterted the composition and structure of gut microbiota. The abundance of Proteobacteria was markedly decreased in the Rap group, whereas Bacteroidetes was notably increased compared with the CLP group. Additionally, the protective effect of autophagy further changed the biomarkers in the microbial community. The top 35 functions in each sample were analyzed to obtain 18 genes including RNA synthesis, ATP binding and transport, chromosome assignment, osmotic polysaccharide transport, transcytosis, and methylation.

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