Ginsenoside Rb1, salvianolic acid B and their combination modulate gut microbiota and improve glucolipid metabolism in high-fat diet induced obese mice

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Biochemistry, Biophysics and Molecular Biology

Main article text

 

Background

Materials & Methods

Animal and feed

Experimental drug

Reagents and equipment

Animal experiment

Detected indicators and methods

Fecal DNA extraction and 16S rDNA high-throughput sequencing

Statistical analysis

Results

Effect of Rb1, SalB and their combination on body weight in DIO mice

Effect of Rb1, SalB and their combination on blood glucose of DIO mice

Effect of Rb1, SalB and their combination on blood lipid content in DIO mice

Gut microbiota sequencing analysis in feces

Statistics of sequencing results

Overall structural changes of gut microbiota

Key indicator taxa of gut microbiota corresponding to Rb1, SalB and Rb1SalB treatment

Discussion

Conclusions

Supplemental Information

Original data for Figs. 13

DOI: 10.7717/peerj.10598/supp-1

Effects of Rb1 and SalB on food intake of diet induced obesity mice

DOI: 10.7717/peerj.10598/supp-2

Spearman correlation analysis of metabolic indicators and gut microbiota at phylum level between Con and the 3 treated groups

(A) The correlation heatmap of metabolic indicators and gut microbiota phylum between Con and Rb1 group. (B) The correlation heatmap of metabolic indicators and gut microbiota phylum between Con and SalB group. (C) The correlation heatmap of metabolic indicators and gut microbiota phylum between Con and Rb1SalB group. Note: each column in the graph represents a phylum, each row represents a metabolic indicator. The color in the graph indicates the Spearman correlation coefficient between the bacterial phyla and the indicators. Red represents positive correlation. Blue represents negative correlation. The darker the color, the greater the correlation. Number in the brackets is the P value. P < 0.05 is considered significant statistically.

DOI: 10.7717/peerj.10598/supp-3

Analysis of molecular variance (AMOVA) between groups

DOI: 10.7717/peerj.10598/supp-4

Additional Information and Declarations

Competing Interests

The authors declare there are no competing interests.

Author Contributions

Ying Bai performed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the paper, and approved the final draft.

Xueli Bao, Ruyuan Zhu, Chenyue Liu and Fangfang Mo performed the experiments, authored or reviewed drafts of the paper, and approved the final draft.

Qianqian Mu and Xin Fang analyzed the data, authored or reviewed drafts of the paper, and approved the final draft.

Dongwei Zhang, Guangjian Jiang and Ping Li analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the paper, and approved the final draft.

Sihua Gao and Dandan Zhao conceived and designed the experiments, authored or reviewed drafts of the paper, and approved the final draft.

Animal Ethics

The following information was supplied relating to ethical approvals (i.e., approving body and any reference numbers):

The Animal Ethics Committee of Beijing University of Chinese Medicine provided full approval for this study (NO. BUCM-4-2016061701-3001).

Data Availability

The following information was supplied regarding data availability:

The raw data are available in the Supplemental Files. Data used to create Figures 46 are available at the Sequence Read Archive (SRA): PRJNA610166.

Funding

This research project was funded by the National Natural Science Foundation of China (No. NSFC81503540 & NSFC81274041), the National project for leading talents of traditional Chinese Medicine–Qihuang scholar Project (No. 10400633210005), the Beijing Joint Construction Project (No. 0101216-14&0101216-2013) as well as the Key Drug Development Program (No. 2012ZX09103201-005). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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