Literature DB >> 35079130

The beneficial effects of genetically engineered Escherichia coli Nissle 1917 in obese C57BL/6J mice.

Jie Ma1,2, Junrui Wang3,4, Lu Xu5, Yuanqi Liu6, Jianwen Gu7.   

Abstract

BACKGROUND: Genetically modified probiotics have potential for use as a novel approach to express bioactive molecules for the treatment of obesity. The objective of the present study was to investigate the beneficial effect of genetically modified Escherichia coli Nissle 1917 (EcN-GM) in obese C57BL/6J mice.
METHODS: First, an obesity model in C57BL/6J mice was successfully established. Then, the obese mice were randomly assigned into three groups: obese mice (OB), obese mice + EcN-GM (OB + EcN-GM), and obese mice + orlistat (OB + orlistat) (n = 10 in each group). The three groups were gavaged with 0.3 ml of 1010 CFU/ml control EcN, EcN-GM (genetically engineered EcN) and 10 ml/kg orlistat. Body weight, food consumption, fat pad and organ weight, hepatic biochemistry and hepatic histopathological alterations were measured. The effects of EcN-GM on the levels of endocrine peptides and the intestinal microbiota were also analyzed.
RESULTS: After supplementation for 8 weeks, EcN-GM was associated with decreases in body weight gain, food intake, fat pad and liver weight, and alleviation hepatocyte steatosis in obese mice. EcN-GM also increased the level of GLP-1 in serum and alleviated leptin and insulin resistance. Moreover, supplementation with EcN-GM increased the α-diversity of the intestinal microbiota but did not significantly influence the relative abundance of Firmicutes and Bacteroidetes.
CONCLUSIONS: These results indicated that EcN-GM, a genetically modified E. coli strain, may be a potential therapeutic approach to treat obesity. The beneficial effect of EcN-GM may be independent of the alteration of the diversity and composition of the intestinal microbiota in obese mice.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2022        PMID: 35079130     DOI: 10.1038/s41366-022-01073-8

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.095


  2 in total

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Authors:  Alessandro Federico; Marcello Dallio; Rosa DI Sarno; Valentina Giorgio; Luca Miele
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Authors:  Ningjing Zhang; Junxian Tao; Lijun Gao; Yan Bi; Ping Li; Hongdong Wang; Dalong Zhu; Wenhuan Feng
Journal:  Biomed Res Int       Date:  2020-02-18       Impact factor: 3.411

  2 in total
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Review 1.  Recent Advances in the Treatment of Insulin Resistance Targeting Molecular and Metabolic Pathways: Fighting a Losing Battle?

Authors:  Marta Wolosowicz; Slawomir Prokopiuk; Tomasz W Kaminski
Journal:  Medicina (Kaunas)       Date:  2022-03-25       Impact factor: 2.948

  1 in total

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