Analysis of mouse faecal dysbiosis, during the development of cachexia, induced by transplantation with Lewis lung carcinoma cells

被引:8
作者
de Maria, Yara N. L. F. [1 ]
Barbosa, David Aciole [1 ]
Menegidio, Fabiano B. [1 ]
Santos, Kaltinaitis B. N. H. [1 ]
Humberto, Ana Carolina [1 ]
Alencar, Valquiria C. [1 ,2 ]
Silva, Juliana F. S. [2 ]
de Oliveira, Regina Costa [1 ]
Batista, Miguel L. [1 ,3 ]
Nunes, Luiz R. [2 ]
Jabes, Daniela L. [1 ]
机构
[1] Univ Mogi Das Cruzes UMC, Nucleo Integrado Biotecnol, Mogi Das Cruzes, SP, Brazil
[2] Univ Fed ABC UFABC, Ctr Ciencias Nat & Humanas, Santo Andre, SP, Brazil
[3] Boston Univ, Sch Med, Dept Biochem, Boston, MA 02215 USA
来源
MICROBIOLOGY-SGM | 2021年 / 167卷 / 10期
基金
巴西圣保罗研究基金会;
关键词
cachexia; microbiota; next generation sequencing; NGS; PICRUSt; microbiome; LOW-GRADE INFLAMMATION; CHAIN FATTY-ACIDS; GUT MICROBIOTA; OBESITY; COMMUNITIES; BACTEROIDES; MECHANISMS; VIRULENCE; DISEASE; COMPLEX;
D O I
10.1099/mic.0.001088
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Cachexia (CC) is a complex wasting syndrome that significantly affects life quality and life expectancy among cancer patients. Original studies, in which CC was induced in mouse models through inoculation with BaF and C26 tumour cells, demonstrated that CC development correlates with bacterial gut dysbiosis in these animals. In both cases, a common microbial signature was observed, based on the expansion of Enterobacteriaceae in the gut of CC animals. However, these two types of tumours induce unique microbial profiles, suggesting that different CC induction mechanisms significantly impact the outcome of gut dysbiosis. The present study sought to expand the scope of such analyses by characterizing the CC-associated dysbiosis that develops when mice are inoculated with Lewis lung carcinoma (LLC) cells, which constitutes one of the most widely employed mecha-nisms for CC induction. Interestingly, Enterobacteriaceae expansion is also observed in LLC-induced CC. However, the dysbiosis identified herein displays a more complex pattern, involving representatives from seven different bacterial phyla, which were consistently identified across successive levels of taxonomic hierarchy. These results are supported by a predictive analysis of gene content, which identified a series of functional/structural changes that potentially occur in the gut bacterial population of these animals, providing a complementary and alternative approach to microbiome analyses based solely on taxonomic classification.
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页数:13
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