Searching the Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

 PMID:31190935  

Astragalus alters gut-microbiota composition in type 2 diabetes mice: clues to its pharmacology.

Xin-Yu Li | Liang Shen | Hong-Fang Ji
Diabetes, metabolic syndrome and obesity : targets and therapy | 2019

Background: Astragalus possesses therapeutic effects for type 2 diabetes (T2D), while its action mechanisms remain to be elucidated. In view of the pathogenic associations between gut microbiota and T2D, we explored the effect of astragalus on gut-microbiota composition of T2D mice. Materials and methods: Modulation effects of astragalus on gut microbiota of T2D-model mice were assessed by 16S rRNA gene sequencing. Results: Inhibited blood-glucose and body-weight levels of T2D mice by astragalus were accompanied by gut microbiota-composition alteration. Astragalus administration significantly increased gut-microbiota richness and diversity in T2D mice and significantly altered the abundance of several bacterial taxa, inducing increased abundance of Lactobacillus and Bifidobacterium. PICRUSt software revealed the relationship between astragalus and T2D. Conclusion: Due to previously reported decreased gut-microbiota richness and diversity and reduced abundance of key species of Lactobacillus and Bifidobacterium, more studies are encouraged to explore the contribution of gut-microbiota alteration by astragalus to its anti-T2D effect.

Pubmed ID: 31190935

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

None

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


GraphPad Prism (tool)

RRID:SCR_002798

Statistical analysis software that combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization. Designed for biological research applications in pharmacology, physiology, and other biological fields for data analysis, hypothesis testing, and modeling.

View all literature mentions

SPSS (tool)

RRID:SCR_002865

Software package used for interactive, or batched, statistical analysis in social science, health sciences and marketing. Software platform offers advanced statistical analysis, a library of machine-learning algorithms, text analysis, open-source extensibility, integration with big data and deployment into applications.Versions that were produced by SPSS Inc. before the IBM acquisition (Versions 18 and earlier) would be given origin or publisher of SPSS Inc. in Chicago.

View all literature mentions

Thermo Fisher Scientific (tool)

RRID:SCR_008452

Commercial vendor and service provider of laboratory reagents and antibodies. Supplier of scientific instrumentation, reagents and consumables, and software services.

View all literature mentions

Sigma-Aldrich (tool)

RRID:SCR_008988

American chemical, life science and biotechnology company owned by Merck KGaA. Merger of Sigma Chemical Company and Aldrich Chemical Company. Provides organic and inorganic chemicals, building blocks, reagents, advanced materials and stable isotopes for chemical synthesis, medicinal chemistry and materials science, antibiotics, buffers, carbohydrates, enzymes, forensic tools, hematology and histology, nucleotides, proteins, peptides, amino acids and their derivatives.

View all literature mentions

KEGG (tool)

RRID:SCR_012773

Integrated database resource consisting of 16 main databases, broadly categorized into systems information, genomic information, and chemical information. In particular, gene catalogs in completely sequenced genomes are linked to higher-level systemic functions of cell, organism, and ecosystem. Analysis tools are also available. KEGG may be used as reference knowledge base for biological interpretation of large-scale datasets generated by sequencing and other high-throughput experimental technologies.

View all literature mentions

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.

View all literature mentions