See the published version of this preprint at Chinese Medicine.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
Research
Wei-Hua Huang
Xiangya Hospital Central South University
Corresponding Author
ORCiD: https://orcid.org/0000-0003-4167-8304
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: Panax notoginseng saponins (PNS) as the main effective substances from P. notoginseng with low bioavailability could be bio-converted by human gut microbiota. In our previous study, PNS metabolic variations mediated by gut microbiota have been observed between high fat, high protein (HF-HP)-diet and low fat, plant fiber-rich (LF-PF)-diet subjects. In this study, we aimed to correspondingly characterize the relationship between distinct gut microbiota profiles and PNS metabolites.
Methods: Gut microbiota were collected from HF-HP and LF-PF healthy adults, respectively and profiled by 16S rRNA gene sequencing. PNS were incubated with gut microbiota in vitro. A LC-MS/MS method was developed to quantify the five main metabolites yields including ginsenoside F1 (GF1), ginsenoside Rh2 (GRh2), ginsenoside compound K (GC-K), protopanaxatriol (PPT) and protopanaxadiol (PPD). The selected microbial species, Bifidobacterium adolescentis and Lactobacillus rhamnosus, were employed to metabolize PNS for the corresponding metabolites.
Results: The five main metabolites were significantly different between the two diet groups. Compared with HF-HP group, the microbial genus Blautia, Bifidobacterium, Clostridium, Corynebacterium, Dorea, Enhydrobacter, Lactobacillus, Roseburia, Ruminococcus, SMB53, Streptococcus, Treponema and Weissella were enriched in LF-PF group, while Phascolarctobacterium and Oscillospira were relatively decreased. Furthermore, Spearman’s correlative analysis revealed gut microbiota enriched in LF-PF and HF-HP groups were positively and negatively associated with PNS metabolites yields, respectively.
Conclusions: Our data showed gut microbiota diversity led to the personalized bioconversion of PNS.
Keywords
Panax notoginseng saponins, Gut microbiota, 16S rRNA gene sequencing, Metabolic difference, Biotransformation
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
This is a list of supplementary files associated with this preprint. Click to download.
- CMHWH05062021GraphicAbstract.pptx
- CMHWH05062021SupplementaryFigures.pptx
Additional file 1: Supplementary Figure S Figure 1: Typical MRM chromatograms of blank substrate (a) and blank substrate spiked with IS or with analytes (b) in positive ion mode. b1, b2, b3, b4, b5 and b6 were typical MRM chromatograms of blank substrate spiked with GF1, PPT, GRh2, GC-K, PPD or IS Digoxin, and a1, a2, a3, a4, a5and a6 were the corresponding chromatograms of blank substrate. Time marked on the peak was the retention time of corresponding analytes. S Figure 2: Mass scan spectra and fragmentation pathways of GF1(a), PPT(b), GRh2(c), GC-K(d) , PPD(e) and Digoxin(f) in positive ion mode. S Figure 3: Typical TICs of mixed standards (including GF1, PPT, GRh2, GC-K, PPD and Digoxin) (a) and samples transformed PNS by gut microbita collected from LF-PF(b) and HF-HP(c) diet groups at 37 ◦C for 0h and 48 h in positive ion mode. S Figure 4: Rarefaction curve based on Shannon index (a) and observed OTU numbers(b).
- CMHWH05062021SupplementaryTables.docx
Additional file 2: Supplementary Table Supplementary table 1 MRM parameters of detected compounds Supplementary table 2 Precision of five main metabolites(mean, RSD＜15%)
Loading...
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at Chinese Medicine.
Version 1
Posted 11 May, 2021
No community comments so far
Editorial decision: Major revision
On 12 Jun, 2021
Reviewers invited
Invitations sent on 18 May, 2021
Editor assigned
On 06 May, 2021
Submission checks complete
On 06 May, 2021
Editor invited
On 06 May, 2021
First submitted
On 05 May, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Internal Medicine
Learn more about our company.
A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
See the published version of this preprint at Chinese Medicine.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Wei-Hua Huang
Xiangya Hospital Central South University
Corresponding Author
ORCiD: https://orcid.org/0000-0003-4167-8304
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at Chinese Medicine.
Version 1
Posted 11 May, 2021
No community comments so far
Editorial decision: Major revision
On 12 Jun, 2021
Reviewers invited
Invitations sent on 18 May, 2021
Editor assigned
On 06 May, 2021
Submission checks complete
On 06 May, 2021
Editor invited
On 06 May, 2021
First submitted
On 05 May, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Internal Medicine
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at Chinese Medicine.
Background: Panax notoginseng saponins (PNS) as the main effective substances from P. notoginseng with low bioavailability could be bio-converted by human gut microbiota. In our previous study, PNS metabolic variations mediated by gut microbiota have been observed between high fat, high protein (HF-HP)-diet and low fat, plant fiber-rich (LF-PF)-diet subjects. In this study, we aimed to correspondingly characterize the relationship between distinct gut microbiota profiles and PNS metabolites.
Methods: Gut microbiota were collected from HF-HP and LF-PF healthy adults, respectively and profiled by 16S rRNA gene sequencing. PNS were incubated with gut microbiota in vitro. A LC-MS/MS method was developed to quantify the five main metabolites yields including ginsenoside F1 (GF1), ginsenoside Rh2 (GRh2), ginsenoside compound K (GC-K), protopanaxatriol (PPT) and protopanaxadiol (PPD). The selected microbial species, Bifidobacterium adolescentis and Lactobacillus rhamnosus, were employed to metabolize PNS for the corresponding metabolites.
Results: The five main metabolites were significantly different between the two diet groups. Compared with HF-HP group, the microbial genus Blautia, Bifidobacterium, Clostridium, Corynebacterium, Dorea, Enhydrobacter, Lactobacillus, Roseburia, Ruminococcus, SMB53, Streptococcus, Treponema and Weissella were enriched in LF-PF group, while Phascolarctobacterium and Oscillospira were relatively decreased. Furthermore, Spearman’s correlative analysis revealed gut microbiota enriched in LF-PF and HF-HP groups were positively and negatively associated with PNS metabolites yields, respectively.
Conclusions: Our data showed gut microbiota diversity led to the personalized bioconversion of PNS.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
This is a list of supplementary files associated with this preprint. Click to download.
- CMHWH05062021GraphicAbstract.pptx
- CMHWH05062021SupplementaryFigures.pptx
Additional file 1: Supplementary Figure S Figure 1: Typical MRM chromatograms of blank substrate (a) and blank substrate spiked with IS or with analytes (b) in positive ion mode. b1, b2, b3, b4, b5 and b6 were typical MRM chromatograms of blank substrate spiked with GF1, PPT, GRh2, GC-K, PPD or IS Digoxin, and a1, a2, a3, a4, a5and a6 were the corresponding chromatograms of blank substrate. Time marked on the peak was the retention time of corresponding analytes. S Figure 2: Mass scan spectra and fragmentation pathways of GF1(a), PPT(b), GRh2(c), GC-K(d) , PPD(e) and Digoxin(f) in positive ion mode. S Figure 3: Typical TICs of mixed standards (including GF1, PPT, GRh2, GC-K, PPD and Digoxin) (a) and samples transformed PNS by gut microbita collected from LF-PF(b) and HF-HP(c) diet groups at 37 ◦C for 0h and 48 h in positive ion mode. S Figure 4: Rarefaction curve based on Shannon index (a) and observed OTU numbers(b).
- CMHWH05062021SupplementaryTables.docx
Additional file 2: Supplementary Table Supplementary table 1 MRM parameters of detected compounds Supplementary table 2 Precision of five main metabolites(mean, RSD＜15%)
Loading...