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Polysaccharides from Laminaria japonica alleviated metabolic syndrome in BALB/c mice by normalizing the gut microbiota.

Mengmeng Duan | Xiaona Sun | Na Ma | Yili Liu | Tengrui Luo | Shuang Song | Chunqing Ai
International journal of biological macromolecules | 2019

Polysaccharides from Laminaria japonica (LJPs) are reported to have various functional properties, but the effects and mechanisms of LJPs on obesity and its related diseases are unclear. This study demonstrated that LJPs prevented diet-induced obesity in a mice model, and improved obesity-related parameters, e.g. fat accumulation in the liver and adipose tissues, body composition, lipids profile, and the morphology of the intestine. Such effects were associated with the modulation of the gut microbiota, involving some members of the Bacteroidetes phylum. Changes in the gut microbiota could improve nutrient utilization, increase microbial metabolites production, and thus regulate lipids metabolism in the body. In short, it sought to indicate that L. japonica can be developed as food supplement for the improvement of metabolic syndrome and the human gut health.

Pubmed ID: 30342121

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QIIME (tool)

RRID:SCR_008249

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 23,2023.Software package for comparison and analysis of microbial communities, primarily based on high-throughput amplicon sequencing data, but also supporting analysis of other types of data. QIMME analyzes and transforms raw sequencing data generated on Illumina or other platforms to publication quality graphics and statistics.

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LEfSe (tool)

RRID:SCR_014609

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Algorithm for high-dimensional biomarker discovery and explanation that identifies genes, pathways, or taxa characterizing the differences between two or more biological conditions. The algorithm identifies features that are statistically different among biological classes, then performs additional tests to assess whether these differences are consistent with respect to expected biological behavior. Statistical significance and biological relevance are emphasized.

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