| Literature DB >> 34834027 |
Xiaoyan Xia1, Jiao Xiao2.
Abstract
Type 2 diabetes mellitus (T2DM) is a noteworthy worldwide public health problem. It represents a complex metabolic disorder, mainly characterized as hyperglycemia and lipid dysfunction. The gut microbiota dysbiosis has been proposed to play a role in the development of diabetes. Recently, there has been considerable interest in the use of medicine food homology (MFH) and functional food herbs (FF) to ameliorate diabetes and lead to a natural and healthy life. Hence, this review compiles some reports and findings to demonstrate that the practical use of the MFH/FF can modulate the homoeostasis of gut microbiota, thereby ameliorating the development of T2DM. The results provided useful data to support further investigation of the functional basis and application of MFH/FF to treat T2DM through maintaining intestinal homeostasis.Entities:
Keywords: functional food herbs; gut microbiota; medicine food homology; type 2 diabetes mellitus
Mesh:
Year: 2021 PMID: 34834027 PMCID: PMC8625827 DOI: 10.3390/molecules26226934
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411
Figure 1Analysis of MFH and FF showing anti-diabetic effects by modulating gut microbiota in this review. (A) Classification about the active MFH and FF species. (B) the relational mechanism of MFH and FF on T2DM associated with gut micorobiota.
Effects of ingredients from MFH and FF on T2DM via gut microbiota.
| Ingredients | Source | Microbiota Findings | Mechanism | Study Types and Sequencing Method | Animals | Dose and Duration | Refs. | |
|---|---|---|---|---|---|---|---|---|
| Saponins | Ginsenoside Rk3 | Panax notoginseng | ↑ | Inhibit the inflammatory cascade by suppressing the TLR4/NF-κB pathway | In vivo; 16S rRNA Sequencing Analysis | C57BL/6 Mice | 60 mg/kg/day; 8 weeks | [ |
| 20(S)-ginsenoside Rg3 | ↑ | Improve bacterial diversity | In vivo; principal | Male Wistar rats | 20 mg/kg/day; 2 weeks | [ | ||
| Ginsenoside Rb1 | Unclear | Inhibit deglycosylation in the diabetic rats | In vivo; 16S rRNA Sequencing Analysis | Male Sprague-Dawley rats | 100 mg/kg/day; 72 h | [ | ||
| Saponin-containing Korean red ginseng extracts | Korean red ginseng ( | ↑ | Improve IR and glucose intolerance | In vivo; 16S rRNA Sequencing Analysis | C57BL/6 | 235 mg/kg/day; 4 weeks | [ | |
| Saponin extract of | ↑ | Improve IR | In vivo; Bacteria plate count | ICR male mice | 1.0, 1.5, or 2.0 g/kg/day; 5 weeks | [ | ||
| Polysaccharides | Polysaccharides | ↑ | Improve SCFAs metabolism | In vivo; 16S rRNA Sequencing Analysis | KKay mice | 300 mg/kg/day; 8 weeks | [ | |
| Homogeneous polysaccharides from crude | ↑ | Regulate SCFAs levels | In vivo; 16S rRNA Sequencing Analysis | C57BL/6 | 50 mg/kg/day; 12 weeks | [ | ||
| ↑ | Regulate bacterial diversity | In vitro; 16S rRNA Sequencing Analysis | / | / | [ | |||
| polysaccharide-rich extracts of |
| ↑ | Attenuate oxidative stress and SCFAs levels | In vivo; 16S rRNA Sequencing Analysis | Male C57BL/6 J mice | 400 mg/kg/day; 4 weeks | [ | |
|
| ↑ | Restore the intestinal microflora balance | In vivo; 16S rRNA Sequencing Analysis | Male KM mice | 400, 600, 800 mg/kg/day; 5 weeks | [ | ||
| ↑ | Increase the levels of SCFAs | In vivo; 16S rRNA Sequencing Analysis | Wistar rats | 100, 200 or 400 mg/kg/day; 5 weeks | [ | |||
| Pseudostellariae Radix | ↑ | Attenuate oxidative stress; suppress inflammatory response | In vivo; 16S rRNA Sequencing Analysis | Male C57BL/6 J | 500 mg/kg/day; 4 weeks | [ | ||
| Polysaccharides of | ↑ | Attenuate oxidative stress | In vivo; 16S rRNA Sequencing Analysis | Male Wistar rats | 50, 100 mg/kg/day; 4 weeks | [ | ||
| mulberry fruit polysaccharide | ↑ | Attenuate oxidative stress | In vivo; 16S rRNA Sequencing Analysis | Male | 500, 800 mg/kg/day; 8 weeks | [ | ||
| Pumpkin polysaccharide | ↑ | Increase SCFAs production | In vivo; 16S rRNA Sequencing Analysis | Male Wistar rats | 1000 mg/kg/day; 4 weeks | [ | ||
| Flavonoids | Baicalein | ↑ | Alleviate inflammation and IR | In vivo; 16S rRNA Sequencing Analysis | Male Wistar rats | 50, 150 mg/kg/day; 4 weeks | [ | |
| Terpenoids | 2β-hydroxybetulinic acid 3β-oleiate |
| Unclear | Reduce blood glucose, regulate dyslipidemia and antioxidant enzymes, protect pancreatic β-cell | In vivo | Male Wistar rats | 60 mg/kg/day; 45 days | [ |
| Alkaloids | Berberine | Coptidis rhizoma and | ↑ | Alleviate inflammation via NF-κB signaling pathways | In vivo; Real-Time PCR Assay | Male Sprague-Dawley rats | 200 mg/kg/day; 6 weeks | [ |
| Others | total glycoside from R. glutinosa leaves |
| ↑ | Regulate glycolipid, inhibit the expression of α-SMA, TGF-β1, Smad3 and Smad4 in the kidney tissues | In vivo; 16S rRNA Sequencing Analysis | 520 mg/kg/day; 6 weeks | [ | |
| low-polar S. grosvenorii glycosides | ↑ | Increase SCFAs production (acetate, butyrate, and 1β-hydroxycholic acid) | In vivo; 16S rRNA Sequencing Analysis | Sprague-Dawley rats | 20 mg/kg/day; 14 days | [ | ||
| sea buckthorn protein | ↑ | Increase intestinal microorganism diversity and SCFAs levels | In vivo; 16S rRNA Sequencing Analysis | ICR mice | 50, 100 and 200 mg/kg/day; 30 days | [ | ||
| Long chain of inulin-type fructans | inulin | ↑ | Regulate SCFAs levels | In vivo; 16S rRNA Sequencing Analysis | Female NOD/LtJ mice | 5% diet; 24 weeks | [ | |
| cinnamon oil | Cortex Cinnamomi | ↑ | Improve IR | In vivo; 16S rRNA Sequencing Analysis | Sprague-Dawley rats | 0.384 g/kg/day; 30 days | [ | |
Abbreviations: SCFAs, short-chain fatty acid. IR, insulin resistance. ↑, Increase. ↓, Decrease.
Figure 2Chemical structures of the representative hypoglycemic compounds from MFH and FF that can modulate gut microbiota in T2DM.
The role and mechanism of extracts in MFH and FF on T2DM through modulating gut microbiota.
| MFH/FF | Source | Microbiota Findings | Mechanism | Test Sections | Study Type and Sequencing Method | Animals | Dose and Duration | Refs. |
|---|---|---|---|---|---|---|---|---|
|
| ↓ | Restore the intestinal microflora balance | Water extracts of fried | In vivo; 16S rRNA Sequencing Analysis | Male Sprague-Dawley rats | 9 g/kg/day; 14 d | [ | |
| ↑ | Upregulate GLP-1R, PI3K, PDX-1 expressions, and suppress inflammation (decrease FOXO1, NF-κB p65) | Water extracts of | In vivo; 16S rRNA Sequencing Analysis | 100 mg/kg/day; 3 weeks | [ | |||
|
| ↑ | Suppress the increased oxidative stress and inflammatory activation. | Water extract of | In vivo; 16S rRNA Sequencing Analysis | Male SPF Wistar rats | 20, 60, 180 mg/kg/day; 4 weeks. | [ | |
|
| ↑ the ratio of | Improve liver, kidney, and pancreas injury and regulate metabolic profiles | Water extract of | In vivo; 16S rRNA Sequencing Analysis | (SPF)-grade rat | 1.04, 2.08 g/kg/day; 4 weeks | [ | |
| ↑ | Modulate gut microbiota composition | Water extract of | In vivo; 16S rRNA Sequencing Analysis | 100, 300, 500 mg/kg/day; 8 weeks | [ | |||
| Chinese propolis | Chinese propolis | ↑ | Reduce inflammation | Ethanol extract of propolis | In vivo; 16S rRNA Sequencing Analysis | C57BL/6 | 200, 300 mg/kg/day; | [ |
|
|
| ↑ | Inhibit obesity and inflammatory-related parameters | 30% ethanol extracts of dried root of | In vivo; 16S rRNA Sequencing Analysis | Female C57BL/6 J mice | 400 mg/kg/day; 10 weeks | [ |
| Mulberry leaf | ↑ | Improve IR | mulberry leaf powder | In vivo; 16S rRNA Sequencing Analysis | Sprague-Dawley male rats | 20% ( | [ | |
| Coicis Semen | ↑ | Improve glucose homeostasis | In vivo; 16S rRNA Sequencing Analysis | C57BL/6 mice | 0.5 g/100 g; 5 weeks | [ | ||
|
| ↑ ratio of | Regulate gut microbiota | In vivo; 16S rRNA Sequencing Analysis | 5.3, 10.6, 21.1 g/kg/day; 3 weeks | [ | |||
|
| ↑ | Improve glucose intolerance and IR | In vivo; 16S rRNA Sequencing Analysis | T2D mice | 1.0 g/kg/day; 30 days | [ | ||
| hemp seed | ↑ | Modulate gut microbiota | hemp seed oil-water mixture | In vivo; 16S rRNA Sequencing Analysis | Female KM mice | 0.2, 0.4 mL; 10 days | [ | |
| ↑ | Modulate gut microbiota | yam gruel | In vivo; 16S rRNA Sequencing Analysis | Human patients | 150 g/day; 3 months | [ |
Abbreviations: IR, insulin resistance. ↑, Increase. ↓, Decrease.
The role and mechanism of formula extracts in MFH and FF on T2DM through modulating gut microbiota.
| MFH and FF | Microbiota Findings | Mechanism | Test Sections | Study Type and Sequencing Method | Animals | Dose and Duration | Ref. |
|---|---|---|---|---|---|---|---|
| Wumeiwan | ↓ | Improve SCFA, inhibit inflammatory mediums (TNF-α, IL-10) | Decoction concentrate | In vivo; 16S rRNA Sequencing Analysis | Sprague-Dawley rats | 5, 10, 20 g/kg/day; 4 weeks | [ |
| Daesiho-Tang | ↑ | Modulate intestinal microbiota | Water extracts | In vivo; 16S rRNA Sequencing Analysis | Male C57BL/6 mice | 700 mg/kg/day; 12 weeks | [ |
| Gegen Qinlian Decoction | ↑ | Suppress inflammation: reduce the levels of LPS, TNF-α, IL-6 | Crude drugs | In vivo; 16S rRNA Sequencing Analysis | KK-Ay mice | 4.44, 13.30, 40.00 g/kg/day; 4 weeks | [ |
| A mixture of | ↑ ratio of | Decrease inflammation (IL-6 and TNF-α) and oxidative stress; improve intestinal flora balance | Mixture of | In vivo; 16S rRNA Sequencing Analysis | Dogs | 160 mg/kg/day; 60 days | [ |
|
| ↑ | Inhibit inflammation, ameliorate IR | Shenzhu Tiaopi | In vivo; 16S rRNA Sequencing Analysis | Male Goto-Kakizaki (GK) | 1000 mg/kg/day; 8 weeks | [ |
|
| ↑ | Inhibit inflammation and oxidative stress | Qijian Mixture | In vivo; 16S rRNA Sequencing Analysis | Male KKay mice | 1.795, 5.385 g/kg/day; 5 weeks | [ |
| ↓ | Improve intestinal microbiota | Decoction concentrate | In vivo; 16S rRNA Sequencing Analysis | Sprague-Dawley rats | 6.48 g/kg/day; 30 days | [ | |
| Combination of Aronia, Red Ginseng, Shiitake Mushroom and Nattokinase | ↓ | Improve IR | Water extracts of the combination | In vivo; 16S rRNA Sequencing Analysis | Sprague Dawley rats | 0.5, 1.0 g/kg/day; 12 weeks | [ |
| ↑ SCFAs-producing bacteria: | Increase microbially derived SCFAs | Water extracts | In vivo; 16S rRNA Sequencing Analysis | Male Sprague-Dawley rats | 6.3 g/kg/day; 1 month | [ |
Abbreviations: IR, insulin resistance. ↑, Increase. ↓, Decrease.