| Literature DB >> 34397132 |
Romina Molinari1, Nicolò Merendino1, Lara Costantini1.
Abstract
The human intestine contains an intricate ecological community of bacteria, referred as the gut microbiota, which plays a pivotal role in the host homeostasis. Multiple factors could interfere with this delicate balance, thus causing a disruption of the microbiota equilibrium, the so called dysbiosis. Gut microbiota dysbiosis is involved in gastrointestinal and extra-intestinal metabolic diseases, as obesity and diabetes. Polyphenols, present in a broad range of plant foods, are known to have numerous health benefits; however, their beneficial effect on pre-existing dysbiosis is less clear. Indeed, in most of the conducted animal studies the administration of polyphenols or foods rich in polyphenols occurred simultaneously with the induction of the pathology to be examined, then analyzing the preventive action of the polyphenols on the onset of dysbiosis, while very low studies analyzed the modulatory activity of polyphenols on the pre-existing dysbiosis. For this reason, the present review aims to update the current information about the modulation of the pre-established gut microbiota dysbiosis by dietary phenolic compounds in a broad range of disorders in both animal studies and human trials, distinguishing the preventive or treatment approaches in animal studies. The described studies highlight that dietary polyphenols, exerting prebiotic-like effects, can modulate the pre-existing dysbiosis stimulating the growth of beneficial bacteria and inhibiting pathogenic bacteria in both animal models and humans. Anyway, most of the conducted studies are related to obesity and metabolic syndrome, and so further studies are needed to understand this polyphenols' ability in relation to other pathologies.Entities:
Keywords: dietary polyphenols; dysbiosis-related diseases; flavonoids; gut microbiota; proanthocyanidins
Mesh:
Substances:
Year: 2021 PMID: 34397132 PMCID: PMC9291298 DOI: 10.1002/biof.1772
Source DB: PubMed Journal: Biofactors ISSN: 0951-6433 Impact factor: 6.438
Modulation of pre‐established dysbiosis by polyphenols and polyphenols rich foods in animal model studies
| Experimental model | Polyphenols' treatment (PF) as compound/Food | Time course | Analytical methods | Microbiota outcomes | Pathology‐related outcomes | References | ||
|---|---|---|---|---|---|---|---|---|
| HFD‐fed male C57BL/6J mice | 100 mg kg−1 BW daily procyanidins | 8 weeks HFD + 12 weeks PF and HFD | 16S rRNA gene HTS |
↑ |
| ↓ | Body weight | [ |
| ↓ |
| |||||||
| HFD‐fed male Wistar rats | 15 mg kg−1 BW resveratrol and 30 mg kg−1 quercetin per daily | 2 weeks HFD + 10 PF and HFD | 16S rRNA gene pyrosequencing |
↑ |
| ↑ | HDL, adiponectin | [ |
| ↓ |
| ↓ | Body weight, cholesterol, LDL, triglycerides, IL6, TNF‐α, insulin, leptin | |||||
| HFD‐fed male diabetic C57BL/6J mice | 200 mg kg−1 daily polyphenols from brown macroalga | 5 weeks HFD, 1 week post STZ | 16S rRNA gene HTS |
↑ |
| ↓ | Glucose, cholesterol, triglycerides, LDL, insulin | [ |
| ↓ |
| |||||||
| HFD‐fed male C57BL/6J mice | 0.1% GTE in HFD | 1 week HFD + 8 GTE and HFD | 16S rRNA gene HTS |
↑ |
| ↓ | Liver inflammation | [ |
| ↓ |
| |||||||
| Male Winnie mouse, spontaneous ulcerative colitis model | 1% tomato bronze in standard diet | 2 weeks PF post ulcerative colitis onset | 16S rRNA gene HTS | ↑ |
| ↓ | IL17A IFN‐γ | [ |
| Female Kunming mice, diabetes model | 0.1% matcha/green tea in corn starch diet | PF 1 week post alloxan‐induce diabetes and for 30 days | 16S rRNA gene HTS |
↑ |
| ↓ | Blood glucose | [ |
| ↓ |
|
Abbreviations: GTE, green tea extracts; HFD, high‐fat diet; HTS, high throughput sequencing; PF, polyphenols' treatment; STZ, streptozotocin.
Modulation of pre‐established dysbiosis by polyphenols and polyphenols rich foods in human trials
| Experimental model | Polyphenols' treatment (PF) as compound/food | Time course | Analytical methods | Microbiota outcomes | Pathology‐related outcomes | References | ||
|---|---|---|---|---|---|---|---|---|
| 37 overweight/obese men/women BMI = 29 | 282 mg/day ECGC+ 80 mg/day resveratrol or placebo | 12 weeks | qPCR | ↓ |
| ↑ | Fat oxidation in man | [ |
| 46 obese male/female BMI ≥34 | 215 mg anthocyanins and 2.7 g of prebiotic fibers daily | 8 weeks | 16S rRNA gene HTS |
↑ |
| ↓ | HbA1c | [ |
| ↓ |
| |||||||
| 28 Caucasian and non‐Caucasian man with MetS | 2 g daily trans resveratrol or placebo | 30 days | 16S rRNA gene HTS |
↑ |
| ↓ | Insulin resistance in Caucasian | [ |
| ↓ |
| |||||||
| ↑ |
| |||||||
| ↓ |
| |||||||
| ↑ |
| |||||||
| ↓ |
| |||||||
| 10 man/women with moderate IBDs | 300–400 g mango pulp daily | 8 weeks | qPCR | ↑ |
| ↓ | IL8, GRO, GMCSF | [ |
| 28 Obese women BMI ≥25 | 200 ml daily | 12 weeks | PCR‐DGGE | ↑ |
| ↓ | Fat mass, triglycerides, glucose, AST, ALT | [ |
| ↓ |
| |||||||
| 20 Caucasian man with MetS | 272 ml daily red wine/dealcoholized red wine | 30 days | Sanger sequencing | ↑ |
| ↑ | HDL | [ |
| ↓ |
| ↓ | Glucose, triglycerides, cholesterol, CRP | |||||
| 49 subjects at cardiometabolic risk | 8 g grape pomace | 6 weeks | q PCR |
↑ |
| ↓ | Insulin in responders | [ |
| ↓ |
| |||||||
| 20 man/women with high waist circumference, and one component of MetS | 2903 mg daily polyphenols from green tea, coffee, dark chocolate, blueberry jam, polyphenol‐rich vegetables, and so on | 8 weeks | PCR‐DGGE | ↑ |
| ↑ | Glucose tolerance | [ |
| ↓ |
|
Abbreviations: ALT alanine aminotransferase; AST, aspartate aminotransferase; CRP, c reactive protein; DGGE, denaturing gradient gel electrophoresis; GMCSF, granulocyte macrophage colony‐stimulating factor; GRO, growth‐regulated oncogene; HbA1c, hemoglobin A1c; HTS, high throughput sequencing; MetS, metabolic syndrome.
FIGURE 1Number of different studies (≥2) that have identified taxa increases or decreases after polyphenols' treatment (PT) in obese and/or with metabolic syndrome (MetS) volunteers or animal models. Orange dot, animal studies; blue dot, human studies. On the right, confirmed changes were summarized