Lifespan Extension of Caenorhabditis elegans by Butyricicoccus pullicaecorum and Megasphaera elsdenii with Probiotic Potential

Kwon, Gayeung; Lee, Jiyun; Koh, Jong Ho; Lim, Young Hee

doi:10.1007/s00284-017-1416-6

Cited by 23 publications

(18 citation statements)

References 27 publications

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“…Megasphaera , a genus of Firmicutes bacteria within the class Negativicutes, has been found in the stomach of cattle and sheep and in human fetuses. A type of Megasphaera species, named Megasphaera elsdenii , inhabits the human intestine and has probiotic potential (Kwon et al, 2018). Owing to technological limitations, the real bacterial response in humans still needs to be confirmed in further studies.…”

Section: Discussionmentioning

confidence: 99%

Helicobacter pylori Infection Aggravates Dysbiosis of Gut Microbiome in Children With Gastritis

Yang

Zhang

et al. 2019

Front. Cell. Infect. Microbiol.

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Introduction: Helicobacter pylori infection consistently leads to chronic and low degree of inflammatory response in gastric mucosa and is closely related with gastrointestinal and extra-gastric diseases. Effects of local microbiome in the stomach have been studied in adults and children with H. pylori infection. It is, however, not known whether the intestinal microbial community differs in children with varying H. pylori infection. The aim of this study is to characterize the altered composition of microbiome induced by H. pylori infection and in gastritis.Materials and Methods: This study involved 154 individuals, including 50 children affected by H. pylori-induced gastritis, 42 children with H. pylori-negative gastritis, and 62 healthy controls. Gut microbiome composition was analyzed using 16S rRNA gene-based pyrosequencing. Fecal bacterial diversity and composition were then compared.Results: On the basis of an analysis of similarities and differences, we found that children with H. pylori-induced gastritis exhibited gut bacteria dysbiosis. The ratio of Firmicutes/Bacteroidetes (F:B) at the phylum level had dramatically decreased in H. pylori-positive gastritis group (HPG) and H. pylori-negative gastritis group (HNG), compared with the healthy control group (HCG). At the family and genus levels, relative abundance of Bacteroidaceae and Enterobacteriaceae was prevalent in HPG and HNG, whereas relative abundance of Lachnospiraceae, Bifidobacteriaceae, and Lactobacillaceae was seen in HCG. Prevalence of different taxa of gut microbiome at the class, order, family, and genus levels was also observed among the three groups.Conclusions: Gastritis can cause changes in composition of fecal microbiome, which is exacerbated by H. pylori infection. These changes in gut microbiome may be related to drug resistance and development of chronic gastrointestinal diseases.

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Section: Discussionmentioning

confidence: 99%

Helicobacter pylori Infection Aggravates Dysbiosis of Gut Microbiome in Children With Gastritis

Yang

Zhang

et al. 2019

Front. Cell. Infect. Microbiol.

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“…Lifespan experiments with wild type nematodes highlighted pro-longevity properties of both US-7 and IT-3. An increased pumping rate and body-bending correlates with a delayed probiotic-induced aging process and with prolongation of animal lifespan [40,41]. This finding is not surprising since it has been reported that other probiotics, i.e., Lactobacillus plantarum K90 and L. paracasei CD4, showed similar effects when administrated in diet to C. elegans [42].…”

Section: Discussionmentioning

confidence: 60%

A Combined Proteomics, Metabolomics and In Vivo Analysis Approach for the Characterization of Probiotics in Large-Scale Production

et al. 2020

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The manufacturing processes of commercial probiotic strains may be affected in different ways in the attempt to optimize yield, costs, functionality, or stability, influencing gene expression, protein patterns, or metabolic output. Aim of this work is to compare different samples of a high concentration (450 billion bacteria) multispecies (8 strains) formulation produced at two different manufacturing sites, United States of America (US) and Italy (IT), by applying a combination of functional proteomics, metabolomics, and in vivo analyses. Several protein-profile differences were detected between IT- and US-made products, with Lactobacillus paracasei, Streptococcus thermophilus, and Bifidobacteria being the main affected probiotics/microorganisms. Performing proton nuclear magnetic spectroscopy (1H-NMR), some discrepancies in amino acid, lactate, betaine and sucrose concentrations were also reported between the two products. Finally, we investigated the health-promoting and antiaging effects of both products in the model organism Caenorhabditis elegans. The integration of omics platforms with in vivo analysis has emerged as a powerful tool to assess manufacturing procedures.

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“… alh-5 alh-12 sodh-1 sodh-2 178680 176056 179627 179628 Metabolic fingerprint studies with long-lived mutants daf-2 and eat-2 showed strong upregulation of enzymes involved in alcohol fermentation including alh-5, alh-12, sodh-1 and sodh-2 [ 56 ]. dbl-1 179068 C. elegans mutants with a loss-of-function in dbl-1 showed reduced lifespan [ 57 ]. ech-6 176376 Metabolism of short-chain organic acids (e.g.…”

Section: Resultsmentioning

confidence: 99%

3D Network exploration and visualisation for lifespan data

et al. 2018

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BackgroundThe Ageing Factor Database AgeFactDB contains a large number of lifespan observations for ageing-related factors like genes, chemical compounds, and other factors such as dietary restriction in different organisms. These data provide quantitative information on the effect of ageing factors from genetic interventions or manipulations of lifespan. Analysis strategies beyond common static database queries are highly desirable for the inspection of complex relationships between AgeFactDB data sets. 3D visualisation can be extremely valuable for advanced data exploration.ResultsDifferent types of networks and visualisation strategies are proposed, ranging from basic networks of individual ageing factors for a single species to complex multi-species networks. The augmentation of lifespan observation networks by annotation nodes, like gene ontology terms, is shown to facilitate and speed up data analysis. We developed a new Javascript 3D network viewer JANet that provides the proposed visualisation strategies and has a customised interface for AgeFactDB data. It enables the analysis of gene lists in combination with AgeFactDB data and the interactive visualisation of the results.ConclusionInteractive 3D network visualisation allows to supplement complex database queries by a visually guided exploration process. The JANet interface allows gaining deeper insights into lifespan data patterns not accessible by common database queries alone. These concepts can be utilised in many other research fields.Electronic supplementary materialThe online version of this article (10.1186/s12859-018-2393-x) contains supplementary material, which is available to authorized users.

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Lifespan Extension of Caenorhabditis elegans by Butyricicoccus pullicaecorum and Megasphaera elsdenii with Probiotic Potential

Cited by 23 publications

References 27 publications

Helicobacter pylori Infection Aggravates Dysbiosis of Gut Microbiome in Children With Gastritis

Helicobacter pylori Infection Aggravates Dysbiosis of Gut Microbiome in Children With Gastritis

A Combined Proteomics, Metabolomics and In Vivo Analysis Approach for the Characterization of Probiotics in Large-Scale Production

3D Network exploration and visualisation for lifespan data

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