REVIEW article

Front. Nutr., 20 December 2019

Sec. Nutrition and Microbes

Volume 6 - 2019 | https://doi.org/10.3389/fnut.2019.00188

The Two-Way Polyphenols-Microbiota Interactions and Their Effects on Obesity and Related Metabolic Diseases

  • 1. Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of SĂŁo Paulo, SĂŁo Paulo, Brazil

  • 2. Food Research Center, CEPID-FAPESP (Research Innovation and Dissemination Centers, SĂŁo Paulo Research Foundation), SĂŁo Paulo, Brazil

  • 3. Department of Nutrition, School of Public Health, University of SĂŁo Paulo, SĂŁo Paulo, Brazil

Article metrics

View details

284

Citations

31k

Views

7,2k

Downloads

Abstract

Metabolic diseases can change the gut microbiota composition and function, and pathogenic bacteria contribute to the development of metabolic disorders. Polyphenols may act in the gut microbiota to favor the increase of beneficial bacteria and hamper the increase of pathogenic bacteria. In addition, the microbiota may act on polyphenols to increase their bioavailability. This two-way interactions between polyphenols and the gut microbiota could affect human metabolism and reduce cardiometabolic risk. Despite the possible benefits of polyphenols for human health through modulating the microbiome, studies are scarce, and present several limitations. This review provides an overview of the polyphenol–microbiota interactions and its effects on metabolic disorders.

Introduction

Obesity is associated with other metabolic diseases including type 2 diabetes (T2D), metabolic syndrome, cardiovascular diseases (CVD), non-alcoholic fatty liver disease (NAFLD), and certain cancers (1). White adipose tissue (WAT) regulate energy homeostasis through the secretion of hormones, adipokines, and growth factors. WAT enlargement causes the recruitment of macrophages and other immune cells into the WAT. This low-grade inflammation disrupts metabolic processes, resulting in impaired glucose, and fatty-acid uptake and metabolism, thereby contributing to the development of metabolic disease (2, 3). In this context, an increased inflammatory response is closed related to the insulin resistance in obese subjects. This response activates Toll pathways kinases and tumor necrosis factor alpha (TNF-α) receptors such as c-jun N-terminal kinase (JNK)-1, and inhibitor of kappa B kinase (IKK). These kinases can phosphorylate the insulin receptor substrate (IRS)-1 in the serine residue. This scenario causes decreased insulin signal transduction (4).

Metabolic diseases related to obesity can change in the gut microbiota composition and function (5). Similarly, the gut microbiota may regulate the development of these metabolic disorders by modulating appetite, energy harvesting and absorption, intestinal barrier function, chronic inflammation, lipid and glucose metabolism, bodyweight gain, and fat storage in hepatic and adipose tissue (6–9).

Studies have shown that obese subjects have less diversity and richness in their gut microbiota than lean subjects (7, 10, 11). Obese subjects also display an increase in Firmicutes phylum bacteria which is associated with higher energy absorption from food, and an increase in low-grade inflammation. Consequently, the Firmicutes/Bacteroidetes ratio increases with obesity (11), however it is not a consensus (10). An increase in the Firmicutes/Bacteroidetes ratio is positively correlated with the development of obesity and insulin resistance (2, 12). It remains unclear whether alterations of the gut microbiota lead to obesity, or weight gain leads to changes in the gut microbiota (11).

In addition to metabolic diseases, diet is an important factor that can modulate the composition and function of the gut microbiota (2, 13, 14). Diets high in fat may reduce microbial diversity and barrier-protecting bacteria, while increasing the abundance of pathogenic bacteria (14–16). By contrast, polyphenols may stimulate beneficial bacteria such as Lactobacillus spp. and Bifidobacterium spp. in the gut microbiota, and hinder the proliferation of pathogenic strains such as Clostridium spp. Polyphenols can also help to control bodyweight by inhibiting appetite, improving lipid metabolism, and inhibiting pancreatic lipase activity (14, 17). The gut microbiota is able to metabolize polyphenols, making them more bioactive, and easily absorbed than the original compounds (7, 13, 18). Both polyphenols and microbiota metabolites may act on metabolic pathways and confer health benefits (19–21). Thus, this review aims to provide an overview of data related to the effect of the two-way interactions of polyphenols and gut microbiota in metabolic disorders.

Polyphenols: Characterization and Bioavailability

Polyphenols are secondary metabolites of plants, and are widely present in fruit, vegetables, and plant-derived foods such as cocoa, chocolate, tea, coffee, and wine. Polyphenols may influence several metabolic or signaling pathways involved in CVD, T2D, gut health, and cancer (22). Based on their chemical structure and complexity, polyphenols are classified as either flavonoids or non-flavonoids. Flavonoids have several subclasses: flavones, flavanones, flavonols, flavan-3-ols, anthocyanidins, and isoflavones. Non-flavonoid phenolics have a more diverse group of compounds, including phenolic acids, lignans, and stilbenes (22, 23) (Table 1). Many physicochemical factors may affect the bioavailability, such as polarity, molecular mass, plant matrix, digestibility by gastrointestinal enzymes, and absorption on enterocytes and colonocytes. Bio-accessibility is another important factor in bioavailability (22).

Table 1

Source Classes Polyphenol General structure Metabolic fates Activities
FLAVONOIDS
Olive oil, herbs, pistachio, citrus juices, lentils Flavones Apigenin
Diosmin
Luteolin
Baicalein
Chrysin
Deglycosylation by the gut microbiota
Apigenin aglycone Naringenin phenylpropionic acids
Luteolin: isomerized to eriodyctiol dihydroxyphenyl propionic acid
Anti-inflammatory, antioxidant, regulation of glucose and lipid metabolism, antiviral, antibacterial, anti-parasitic
Citrus fruits, herbs, almond, pistachio Flavanones Didymin
Eriodyctiol
Hesperetin
Naringenin
Deglycosylation, dihydroxylation and ring fission by colonic microbiota to phenolic acids Anti-inflammatory, antioxidant, regulate glucose and lipid metabolism, prevent hepatic steatosis, antifungal, antibacterial, antiviral, antiparasitic
Almond, pistachio, onion, wines, berries, apple, spices, tomato, cocoa, chocolate, citrus fruits Flavonols Isorhamnetin
Kaempferol
Myricetin
Quercetin
Rhamnetin
Deglycosylation and phase II metabolism in small intestine;
Deglycosylation, dihydroxylation and ring fission by gut microbiota to phenolic acids
Anti-inflammatory, antioxidant, antiviral, antibacterial
Tea, wines, chocolate, cocoa, berries, drupes, tropical, and pomes fruits, herbs, nuts, pulses Flavan-3-ols (+)-Catechin
(–)-Epicatechin
(+)-Gallocatechin
(–)-Epigallocatechin
(–)-Epigallocatechin gallate
Proanthocyanidins
Absorbed in enterocytes without deconjugation or hydrolysis, except Proanthocyanidins Antibacterial, anticancer, anti-inflammatory, antioxidant, antiviral, antiparasitic
Wine, grape, berries, beans Anthocyanidins Cyanidin
Delphinidin
Malvidin
Pelargonidin
Peonidin
Petunidin
Deglycosylation and phase II metabolism in small intestine;
Deglycosylation, dihydroxylation and ring fission by gut microbiota to phenolic acids
Antidiabetes, anti-inflammatory, neuroprotective, antioxidant, antiallergic, antibacterial, anticancer
Soy, lentils, chickpeas, peanut, common bean Isoflavones Daidzein
Genistein
Glycitein
Biochanin A
Formononetin
Metabolized by gut microbiota to equol Estrogenic activity, Anti-inflammatory, hypocholesterolemic effect, antioxidant, antiobesity, antidiabetes
NON-FLAVONOIDS
Coffee, tea, cocoa, drupes, chocolate, walnuts, berries Phenolic acids Hydroxybenzoic acids Free structure is absorbed in the small intestine;
Esterified to sugars, organic acids, and lipids are metabolized by colonic microbiota
Anti-inflammatory, antioxidant, antibacterial, antiviral, antifungal, antiparasitic
Hydroxycinnamic acids
Pomegranate, grapes, berries, nuts Hydrolysable tannins Ellagitannins Metabolized by gut microbiota to urolithins Antioxidant, anticancer, estrogenic activity
Spices Curcuminoids Curcumin Metabolized by the gut microbiota Anti-inflammatory, antioxidant, neuroprotective
Wines, chocolate, berries, peanut Stilbenes Resveratrol Mainly absorbed in the small intestine and Phase II metabolism; metabolized by gut microbiota to dihydroresveratrol Anti-inflammatory, antioxidant, cardioprotective, anticancer, antiobesity

Polyphenols characterization, metabolism, and biological activities (13, 23–26).

Polyphenols present in foods are generally conjugated with sugars or organic acids, or are present as unconjugated oligomers such as condensed tannins. Small amount of the polyphenol's intake (about 5–10%) may be absorbed in the small intestine, mainly those with monomeric, and dimeric structures. The released aglycones enter the enterocyte by passive diffusion. After absorption into the small intestine, aglycones undergo biotransformation in enterocytes and then in hepatocytes. The resultant metabolites are distributed to organs and excreted in the urine. More complex polyphenols, especially oligomeric, and polymeric structures such as condensed or hydrolysable tannins, reach the colon almost unchanged, where they are metabolized by the gut microbiota together with conjugates excreted into the intestinal lumen through the bile. Here, they undergo microbial enzyme transformations, including C-ring cleavage, decarboxylation, dehydroxylation, and demethylation. The result is the generation of less complex compounds such as phenolic acids and hydroxycinnamates (27). Several classes of enzymes—such as α-rhamnosidase, ÎČ-glucosidase, and ÎČ-glucuronidase—are required to deconjugate specific conjugating moieties. In the case of polymer forms, they are needed to cleave phenolic polymers into individual monomers (28). Once absorbed, polyphenols reach the liver through the portal circulation. Here, they undergo first-pass phase II biotransformation, during which polyphenol aglycones and phenolic acids are conjugated to glucuronides, sulfates and/or methyl-moieties. They then are distributed to organs and excreted in the urine (27).

Oligomeric flavan-3-ols with a degree of polymerization > 3; polymeric flavonols (proanthocyanidins and condensed tannins); esters of hydroxycinnamic acids; and flavonol glucorhamnosides, such as quercetin-3-O-glucorhamnoside (rutin) are not absorbed in their original forms. These compounds undergo microbiota transformation on the colon, generating phenolic acids, and other metabolites (29). Proanthocyanidins produce smaller phenolic acids, such as hydroxybenzoic acids, hydroxyphenylacetic acid, hydroxyphenylpropionic acid, hydroxyphenylvaleric acid, or hydroxycinnamic acids, which can be absorbed (30).

Hesperidin and narirutin also pass to the colon, where bacterial enzymes release the aglycone, which is glucuronidated in the intestinal wall. Aglycones can also be metabolized to phenolic acids. Hydroxyphenylpropionic acid and phenylpropionic acid have been described as the main products of naringenin fermentation. Furthermore, 3-(3-hydroxy-4-methoxyphenyl)-propionic acid (dihydroisoferral acid), and various hydroxylated forms of phenylpropionic acid have been reported as colonic catabolites of hesperidin (27).

Ellagitannins undergo intestinal catabolism, possibly generating ellagic acid, which is metabolized by the microbiota into tetra-, tri-, di- and monohydroxyurolithins (24). The bacteria Gordonibacter urolithinfaciens and Gordonibacter pamelaeae have shown the capacity to biotransformation ellagitannins to urolithins (31).

Resveratrol (3,5,4â€Č-trihydroxystilbene) also reaches the colon. Here, it is subjected to the action of bacteria, which convert it mainly to dihydroresveratrol (3,4-dihydroxystilbene) and lunularin (3,4â€Č-dihydroxybibenzyl) (32).

Studies indicate a two-way interaction between phenolics and gut microbiota. Microbiota may metabolize polyphenols as well as polyphenols and their metabolites may modulate the microbiota by inhibiting pathogenic bacteria and stimulating beneficial bacteria (18, 33–35). Several phenolic compounds have been identified as potential antimicrobial agents with bacteriostatic or bactericidal properties (36). The reciprocal relationship between polyphenols and gut microbiota may contribute to health benefits for the host (34).

Effects of Gut Microbiota on Polyphenols

The gastrointestinal tract is colonized by several bacterial species, mainly the colon. The mainly microbiota phyla are: Firmicutes, Bacteroidetes, Proteobacteria, Actinobacteria, and Verrucomicrobia (37). In healthy subjects, Bacteroidetes such as Prevotella and Bacteroides genera, and Firmicutes such as Clostridium, Enterococcus, Lactobacillus, and Ruminococcus genera, represent more than 90% of bacterial species (18, 37). The composition of the individual microbiota varies in certain circumstances, including diarrheal illness and antibiotic therapy, or induced by nutritional intervention (29). Diet strongly influences the gut microbiota and can modify its impact on health, with either beneficial or deleterious consequences. Prevotella is the main bacteria in the gut microbial community in people who eat carbohydrate-rich diets, whereas Bacteroides is predominant in the gut of people who follow diets rich in animal protein and saturated fat (36, 38). Some bacterias are related to the metabolism of polyphenols, especially Flavonifractor plautii, Slackia equolifaciens, Slackia isoflavoniconvertens, Adlercreutzia equolifaciens, Eubacterium ramulus, Eggerthella lenta, and Bifidobacterium spp, which participate in the metabolism of several polyphenols (Table 2).

Table 2

Bacteria Polyphenol Class Bacterial action Main metabolites References
Clostridium orbiscidens,
Eubacterium oxidoreducens,
Eubacterium ramulus, Eggerthella
sp., Enterococcus casseliflavus,
Butyrivibrio spp., Flavonifractor plautii, Bacteroides uniformis, Bacteroides ovatus, Bifidobacterium spp., Blautia sp.
Flavonols
(Kaempferol
Quercetin
Myricetin)
O-Deglycosylation
C-ring fission
Protocatechuic acid
2-(3,4-dihydroxyphenyl-acetic acid
2-(4-hydroxyphenil)-propionic acid
3-hydroxyphenylacetic acid,
3-(3-Hydroxyphenyl)-propionic acid
2-(3-hydroxyphenil)-acetic acid
2-(3-dihydroxyphenil)-acetic acid
3-(3,4-dihydroxyphenil)-acetic acid
Protocatechuic acid
2-(3,5-dihydroxiphenil)-acetic acid
(26, 38–41)
Adlercreutzia equolifaciens, Eggerthella strain Julong732, Paraeggerthela hongkongensis, Slackia equolifaciens, Slackia isoflavoniconvertens, Clostridium butyricum, Eubacterium ramulus, Flavonifractor plautii Flavanones (Naringenin, Hesperidin) C-ring fission 3-(4-hydroxyphenyl)-propionic acid
3-phenylpropionic acid
Hydroxyphenylpropionic acid
(39–41)
Clostridium coccoides, Bifidobacterium
spp., Eubacterium, Eggerthella lenta, Adlercreutzia equolifaciens, Slackia equolifaciens, Lactobacillus plantarum, Flavonifractor plautii
Flavan-3-ols
Proanthocyanidins
Hydrolysis of ester bonds
C-ring cleavage
Dehydroxylation
3,4-Dihydroxyphenylpropionic acid
3-(3-hydroxyphenyl)-propionic acid
3-Hydroxyphenylpropionic acid
3-Hydroxybenzoic acid
4-Hydroxy-5-(3,4-dihydroxyphenyl) valeric acid
3,4-dihydroxybenzoic acid
Phenylvalerolactones
(39–41)
Lactobacillus plantarum, Lactobacillus casei, Lactobacillus acidophilus, Bifidobacterium lactis Anthocyanins
Cyanidin, Peonidin,
Pelargonidin, Malvidin
O-Deglycosylation,
C-ring fission
3,4-dimethoxybenzoic acid
3,4-dihydroxybenzoic acid
2-(4-hydroxyphenyl)-propionic acid
3-hydroxycinnamic acid
4-hydroxybenzoic acid
(39–41)
Streptococcus intermedius, Escherichia coli, Bifidobacterium spp., Bacteroides ovatus, Streptococcus intermedius,
Ruminococcus productus, Lactobacillus mucosae, Eubacterium limosum, Enterococcus
faecium, Enterococcus casseliflavus, Eubacterium ramulus, Veillonella sp., strain GC19-1, Eggerthella Julong 732, Blautia sp., Lactococcus spp., Clostridium spp., Slackia isoflavoniconvertens, Slackia equolifaciens, Adlercreutzia equolifaciens, Paraeggerthella hongkongensis, Lactobacillus mucosae, Finegoldia magna
Isoflavones (Daidzein Genistein) O-Deglycosylation
O-demethylation
Reduction
C-ring cleavage
dehydroxylation
Equol
O-desmethylangolensin (O-DMA)
5-hydroxy-equol
2-(4-hydroxyphenyl)-propionic acid
Phloroglucinol
(26, 39–41)
Bacteroides uniformis, Blautia sp., Bifidobacterium spp., Lactobacillus spp., Enterococcus spp., Lactococcus lactis, Eubacterium spp., Escherichia sp., Clostridium butyricum, F. plautii Flavones (Luteolin, Apigenin) O-Deglycosylation
O-Demethylation
C-ring fission
Dehydroxylation at B-ring
3-(3,4-dihydroxyphenyl)-propionic acid
3-(4-hydroxyphenyl)-propionic acid
3-(3-hydroxyphenyl)-propionic acid
4-hydroxycinnamic acid
(39–41)
Butyrivibrio spp., Gordonibacter urolithinfaciens, Gordonibacter pamelaeae Ellagitannins Hydrolysis Urolithins (24, 31, 39)
Bacteroides distasonis, Bacteroides fragilis, Bacteroides ovatus, Clostridium cocleatum, Clostridium saccharogumia, Butyribacterium methylotrophicum, Eubacterium callanderi, Eubacterium limosum, Blautia producta, Peptostreptococcus productus, Clostridium scindens, Eggerthella lenta, Lactonifactor longoviformis Lignans Deglycosylation
Demethylation
Dehydroxylation
Dehydrogenation
Enterolactone
Enterodiol
(39, 40)
Escherichia coli, Bifidobacterium lactis, Lactobacillus gasseri Phenolic acids (Caffeic acid, Ferulic acid) De-esterification
Dehydroxylation
3-(3-hydroxyphenyl)-propionic acid
3-(3,4-dihydroxyphenyl)-propionic acid 3-(4-hydroxyphenyl)-propionic acid
Hydroxyphenyl-ethanol
Phenylacetic acid
Benzoic acid
3-(4-hydroxyphenyl)-propionic acid
(39, 40)
Slackia equolifaciens, Adlercreutzia equolifaciens Resveratrol Dehydroxylation Dihydroresveratrol
Lunularin
(32)

Polyphenols metabolism by gut microbiota in humans.

Interindividual differences in the composition of the gut microbiota may lead to differences in the bioavailability and bioactivity of metabolites. These variations are associated with different metabotypes, which are characterized by the individual's ability to produce specific metabolites (25, 42, 43). Eubacterium is related to the metabolism of flavonoids, whereas certain species of the genus Bifidobacterium and Lactobacillus are involved in the release of hydroxycinnamic acids in the colon (33). Enterococcus casseliflavus is involved in the hydrolysis of sugar moieties, such as in quercetin-3-O-glucoside, whose process releases the aglycone quercetin and produces lactate, formate, acetate, and ethanol. Moreover, Eubacterium ramulus, E. oxidoreducens, Flavonifractor plautii and Clostridium strains may metabolize quercetin, leading to the formation of short-chain fatty acids (SCFAs), taxifolin, and 3,4-dihydroxyphenyl-acetic acid (38).

It has been reported that some people produce equol and O-desmethylangolensin (O-DMA) from isoflavones; they are called “producers.” Others, however, do not produce these metabolites (“non-producers”) (42). This could explain why some subjects did not respond to isoflavone intervention to reduce the symptoms of menopause, once the effect was related to equol. Adlercreutzia equolifaciens, Eggerthella strain Julong 732, Paraeggerthella hongkongensis, Slackia equolifaciens, and S. isoflavoniconvertens have been identified as able to convert isoflavones to equol (39). Different metabotypes are also observed for ellagitannin and ellagic acid, whose metabolism to urolithins in the gut also shows vast human individual variability associated with differences in the colon microbiota. In “urolithin metabotype A,” only urolithin-A conjugates are produced; in “urolithin metabotype B,” isourolithin-A and/or urolithin-B are produced in addition to urolithin-A. In “urolithin metabotype 0,” urolithins are not produced. Gordonibacter urolithinfaciens sp. was identified and showed the capacity to convert ellagitannins to urolithins (31, 44).

A recent clinical trial by our group to evaluate the bioavailability and metabolism of anthocyanins and ellagitannins showed that the gut microbiota catabolites both classes of polyphenols. However, some subjects excrete high amounts of polyphenol metabolites in the urine, whereas others excrete low amounts of metabolite. These findings indicate the high interindividual variability regarding polyphenol metabolism (45). Another recent study (43) showed that pomegranate ellagitannins differently improved CVD biomarkers depending on the individual's urolithin metabotypes (UM). The biomarkers were reduction levels of Tchol, small low-density lipoprotein (LDL-c), apolipoprotein (apo) B, oxidized LDL (oxLDL), and non-high-density lipoprotein (HDL-c). That is, CVD risk was reduced only in UM-B subjects who displayed an increase in Gordonibacter levels. Despite these examples, the human gut bacteria involved in most dietary polyphenol transformations remain unknown (31).

Weight gain and gut microbiota dysbiosis favor the growth of bacteria that produce isourolithin-A and urolithin-B rather than bacteria that produce urolithin-A (31, 44). Recently, Selma et al. (44) observed that urolithin-A was positively correlated with apo A-1 and intermediate HDL-c, whereas isourolithin-A and urolithin-B were positively correlated with total cholesterol, LDL-c, apo B, very low-density lipoprotein (VLDL-c), intermediate density lipoprotein (IDL-c) and oxLDL. The authors concluded that overweight subjects UM-B were at increased risk of cardiometabolic disease, while those with UM-A had greater protection against cardiometabolic factors.

Oral consumption of a dose of resveratrol (0.5 mg/kg) by healthy subjects showed that dihydroresveratrol (3,4-dihydroxytrans-stilbene) and lunularin (3,4'- dihydroxy-bibenzyl) are the main final metabolites derived from the microbial metabolism of resveratrol. The same study identified two species of bacteria, Slackia equolifaciens, and Adlercreutzia equolifaciens, related to the production of dihydroresveratrol (32). Just as gut microbiota can affect polyphenol metabolism to generate more bioactive metabolites, polyphenols can also affect the microbiota composition.

Effects of Polyphenols on Gut Microbiota

The mechanisms by which polyphenols modulate the gut microbiota still need to be elucidated, but may involve both direct and indirect interactions. These compounds can directly stimulate or inhibit bacterial growth. Inhibition refers to the bactericidal or bacteriostatic effect of phenolic compounds, which inhibits the growth of potentially pathogenic bacteria while minimally affecting—or even increasing—the population of beneficial bacteria. However, it is important to consider the concentration and characteristics of these compounds; that is, the type of compound and whether it occurs in conjugated or free form. Indirectly, phenolic metabolites can affect the growth of one group of bacteria by increasing the development of another group (24, 33). Resveratrol presented a relevant antibacterial activity on clinically important bacteria, such as Salmonella enterica, Enterococcus faecalis, and Escherichia coli (46).

The effects of polyphenols on gut microbiota have been shown in vitro, in vivo and in human studies (Table 3).

Table 3

Model Intervention time Polyphenols Dose Bacteria Metabolic outcomes References
In vitro
Batch-culture fermentation — (+)-catechin 150 mg/mL ↑Clostridium coccoides
-Eubacterium rectale group
↑Bifidobacterium spp.
↑Escherichia coli
↓Clostridium histolyticum
— (47)
Three-stage culture system — Cocoa
↑Bifidobacteria
↑Lactobacilli

↑ butirate
(48)
Batch-culture fermentation 24 h malvidin-3-glucoside, gallic acid and a mixture of anthocyanins
↑Bifidobacterium spp.
↑Lactobacillus
— (49)
Culture 24 h Chinese tea extract 0,1%, w/v of polyphenols
↓Clostridium perfringens
↓Clostridium difficile
↓Bacteroides spp.
— (50)
Fermentation 36 h Green tea, oolong tea and black tea
↑Bifidobacterium
↑Lactobacillus spp.
↑Enterococcus spp.
↓Bacteroides
↓Prevotella
↓Clostridium histolyticum

↑ SCFAs
(51)
In vivo
C57BL/6J mice 30 days Resveratrol 4 g/kg bw
↑Bifidobacterium
↑Lactobacillus
↑Bacteroides
↑Akkermansia
↓Prevotella
↓Ruminococcaceae
↓Anaerotruncus
↓Alistipes
↓Heliobacter
↓Peptococcaceae
↓ F/B ratio
— (52)
Obese rats (HFD−45% kcal fat) 10 weeks QuercetinResveratrol 30 mg/kg bw
15 mg/kg bw

↓ Firmicutes
↓ F/B ratio

↓ bw gain
↓ visceral adipose tissue weight
↓ serum lipids
↓ serum inflammation markers (TNF-α, IL-6, MCP-1)
Improved serum adiponectin, insulin and leptin
(53)
Obese C57BL/6J mice (HFD−162 g fat/kg diet) 12 weeks Blueberry extract 200 mg/kg bw
↑Proteobacteria
↑Bifidobacterium
↑Helicobacter
↓Actinobacteria
↓Prevotella

↓ bw gain
↓ serum LDL-c
↓ total cholesterol in the liver
(14)
Obese C57BL/6J mice (HFHS diet−32% kcal fat and 25% kcal sucrose) 4 weeks Decaffeinated green tea
Black tea
240 mg/kg bw
320 mg/kg bw

↓ Firmicutes
↑ Bacteroidetes
↑Pseudobutyrivibrio (black tea)

↓ bw
↑ SCFAs (black tea)
(54)
Rats 6 weeks Lowbush wild blueberries 24 mg anthocyanins/day
↓Lactobacillus
↓Enterococcus
↑Bifidobacteria
↑Coriobacteriacea
— (55)
Rats 25 days Resveratrol 1 mg/kg bw
↑bifidobacteria
↑lactobacilli
↓Enterobacteria
Protection of colonic mucosa architecture
↓ Systemic inflammation biomarkers (IL-6, haptoglobin and fibrinogen)
(56)
Obese C57BL/6J mice (HFHS diet) 8 weeks Arctic-berry extract
↑Akkermansia muciniphila
↑Oscillibacter
↑Turicibacter

↓ Fasting and postprandial hyperinsulinemia
↓ Circulating endotoxemia
↓ Liver TG depots
↓ Intestinal and hepatic inflammation
(57)
Mice (HFHS diet) 8 weeks Camu-camu extract 200 mg/kg
↓ F/B ratio
↑ Microbial richness

↓ Bw gain
↓ Fat accumulation
↓ Metabolic inflammation
↓ Endotoxemia
↑ Glucose tolerance
↑ Insulin sensitivity Protected from hepatic steatosis
(21)
Balb/c mice (HFD) 4 weeks Pomegranate-peel extract 6 mg/day
↑ Caecal pool of Bifidobacteria

↓ Serum total cholesterol
↓ LDL-c
↓ Inflammatory markers in colon and visceral adipose tissue
(58)
Rats (HFD−60% kcal fat) 10 weeks Coffee 20 g/L
↓ F/B ratio
↓Clostridium leptum
↑Enterobacteria

↓ bw
↓ Adiposity
↓ Livre TG
↓ Energy intake
↓ Insulin resistance
(19)
Obese C57BL/6J mice 16 weeks Grape
↑Akkermansia muciniphila
↑ Alistipes spp.
↓ Clostridiale
↓ F/B ratio

↑ Glucose tolerance
↓ Metabolic endotoxemia
↓ Intestinal and systemic inflammation
↓ Liver TG
(59)
CLINICAL TRIALS
Overweight obese subjects with mild hyperlipidemia 3 weeks Pomegranate extract 656 mg of polyphenols
↑Odoribacter
↑Bacteroides
↑Faecalibacterium
↑Butyricicoccus
↑Butyricimonas
↓Parvimonas
↓Metanobrevibacter
↓Metanosphaera

↓ LBP
(6)
Healthy subjects 4 weeks Cocoa flavonols 494 mg/day
↑ Bifidobacterium
↑ Lactobacillus
↓ Clostridia

↓ Plasma TG
↓ Plasma CRP
(60)
Subjects with metabolic syndrome 30 days Dealcoholized red wine 272 mL/day
↑ Bifidobacterium
↑Lactobacillus
↑Faecalibacterium prausnitzii
↑Roseburia
↓ F/B ratio
— (61)
Healthy men 4 weeks Red wine 272 mL/day
↑Enterococcus
↑Prevotella
↑Bacteroides
↑Bifidobacterium
↑Enterococcus
↑Bacteroides uniformis
↑Eggerthella lenta
↑Blautia coccoides-Eubacterium rectale group

↓ Blood pressure
↓ TG
↓ Total cholesterol
↓ CRP
(62)
Healthy subjects 7 days Orange juice 500 mL/day
↑ Mogibacteriaceae
↑ Tissierellaceae
↑ Veillonellaceae
↑ Odoribacteraceae
↑ Ruminococcaceae
— (63)

Summary of the main findings of studies related to the effects of polyphenols on gut microbiota and metabolic outcomes.

Bw, body weight; CRP, C-reactive protein; F/B, Firmicutes/Bacteroidetes; HFD, high fat diet; HFHS, high fat, high sucrose; IL-6, Interleukin-6; LBP, lipopolysaccharide binding protein; LDL-c, low density lipoprotein; MCP-1, monocyte chemoattractant protein-1; SCFAs, short chain fatty acids; TG, triacylglycerol; TNF-α, tumor necrosis factor alpha; w/v, weight/volume.

Polyphenols can enhance the abundance of beneficial bacteria such as Bifidobacterium and Lactobacillus which contribute to the gut barrier protection; Faecalibacterium prausnitzii which presents anti-inflammatory action by blocking nuclear factor-kappa B (NF-kB) activation; and Roseburia sp. which are butyrate producers (61).

Overall, the polyphenol structure, the dosage evaluated, and the strain of microorganism can influence the effect of polyphenols on bacterial growth and metabolism. In this context, Gram-positive bacteria are more sensitive to polyphenols than are Gram-negative bacteria. This variability might be due to the differences in their wall composition (25).

Effects of Phenolic-Gut Microbiota Interactions on Obesity and Related Metabolic Diseases

Obesity is characterized by chronic, low-grade inflammation which may have a major role in the initiation and development of metabolic diseases. Low-grade inflammation increases immune system cell infiltration and the production of inflammatory cytokines in adipose tissue. Polyphenols and their bacterial metabolites can act against obesity by modulating the development of adipose tissue and the obesity-induced inflammatory genes (64). It should be highlighted that most polyphenols inhibit the NF-kB pathway and consequently the expression of inflammatory genes possibly by a mechanism involving microRNAs (miRNAs) (35, 64). Polyphenols can modulate more than 100 miRNAs involved in the regulation of different cellular processes such as inflammation and apoptosis (35). In addition, in mice 3T3-L1 adipocytes treated with açaí (Euterpe oleracea Martius) extract containing cyanidin-3-rutinoside and cyanidin-3-glucoside, there was a reduction in leptin and plasminogen activator inhibitor-1 (PAI-1) levels and an increase in adiponectin levels. This extract also reduced oxidative stress and inhibited the NF-kB pathway (65). Gonzales and Orlando (66) also observed inhibition of the NF-kB pathway and the inflammatory genes expression when adipocytes were treated with curcumin or resveratrol.

Other potential anti-obesity mechanisms of polyphenols include inhibition of digestive enzymes and consequently reduce energy efficiency, glucose homeostasis improvement, suppression of adipogenesis and lipogenesis, increase of energy expenditure via thermogenesis, and of fat oxidation, and excretion of fecal lipids (20). Resveratrol, for example, can decrease obesity by reduction of de novo lipogenesis and adipogenesis, increase of adipocytes apoptosis, and oxidation of fatty acids. Evidence indicates that resveratrol regulates cell-signaling pathways and gene expression (67). In a recent study, overweight and obese subjects consumed 282 mg/day of epigallocatechin gallate (EGCG) and 80 mg/day of resveratrol for 12 weeks. These polyphenols downregulated the expression of genes related to adipogenesis and apoptosis (adipocyte turnover), energy metabolism, oxidative stress and inflammation (68).

Flavonoids can improve glucose homeostasis mainly by the modulation of gene expression that codes key metabolic proteins. These gene modifications can result from the interaction of flavonoids with signaling cascades and/or with epigenetic factors such as miRNAs (69). Polyphenols such as green tea polyphenols, cinnamon, and grape seed proanthocyanidins can delay gastric emptying rate and decrease postprandial feeling of hunger by regulating plasma insulin and glucagon-like peptide (GLP)-1 levels (70, 71). GLP-1 inhibits glucagon secretion by hampering the gluconeogenesis in the liver and thereby improves insulin sensitivity (72). Moreover, polyphenols such as chlorogenic acid and ferulic acid can upregulate the expression of GLUT-4 and peroxisome proliferator-activated receptor (PPAR)-Îł improving glucose uptake into the cells (73).

Polyphenols can interact with cell membranes, changing their structure and function. They also can interact with cellular receptors, modulate the activities of enzymes and transcription factors, and affect gene expression. Polyphenols influence molecular signal transduction pathways such as inflammation cascade, cell proliferation/migration, oxidative stress, and metabolic disorders (73). Flavonoids exert anti-inflammatory activity by inhibiting proinflammatory gene expression such as phospholipase A2 (PLA2), cyclooxygenase (COX)-2, lipoxygenase (LOX), or inducible nitric oxide synthase (iNOS) through the PPAR-Îł activation; inhibit NF-kB, mitogen-activated protein kinase (MAPK) and c-JUN pathways; and activate phase II antioxidant enzymes, and serine/threonin protein kinase Akt/PKB (74).

Polyphenols are mainly metabolized by the colonic microbiota, forming more bioactive metabolites than those consumed in food. Along with the modulation of the colonic microbiota, polyphenol-derived metabolites may contribute to host health benefits (75). The gut microbiota helps humans to maximize the absorption of nutrients and energy from the diet, and plays an essential role in physical health status. Microbial infections and gut microbiota dysbiosis are associated with metabolic disorders (18).

Gut microbiota has been considered a potential new contributor to the growing prevalence of obesity and associated cardiometabolic disorders, such as metabolic syndrome, inflammation, and T2D (76, 77). Subjects with low bacterial richness show increased dyslipidemia, adiposity, insulin resistance, and inflammatory phenotype (7, 8). Obese subjects transplanted with the microbiota from lean donors presented increased bacterial diversity in their gut, with an associated increase in butyrate-producing bacteria and subsequent increase in insulin sensitivity (78). The same results were observed in animals. The gut microbiota of genetically obese mice (ob/ob) harvests more energy than that of their lean ob/+ counterparts. This phenotype was transferred in germ-free mice transplanted with the microbiota from obese donors (8, 15). Still, the body-fat mass of germ-free mice increased 60% in 2 weeks after receive the microbiota from conventional mice; this was accompanied by increased levels of circulating glucose and leptin, insulin resistance, and adipocyte hypertrophy. These results can be partly explained by the capacity of the gut microbiota to breakdown undigestible polysaccharides into monosaccharides that could be absorbed, whose fact increased hepatic lipogenesis (10).

It should be noted that the gut microbiota can influence energy metabolism and homeostasis. It does so by regulating the use of energy from the diet, interacting with signaling molecules involved in the metabolism of microorganisms, modifying intestinal permeability, and releasing intestinal hormones—such as peptide YY (PYY) and GLP-1 (79). Akkermansia muciniphila, a specie increased by polyphenols, was correlated with increased L-cells, the source of GLP-1 and GLP-2 (80). A. muciniphila was also inversely linked to visceral fat accumulation, adipocyte size in subcutaneous adipose tissue, and fasting plasma glucose levels in obese humans (10).

Recent studies have indicated that the gut microbiota produces several metabolites, some of which enter systemic circulation and show biological activity. The microbiota, through these bioactive metabolites, can act directly or indirectly in organs, with beneficial or adverse effects. Some of the metabolites—such as SCFAs (acetate, propionate, and butyrate)—may interact with hormones such as ghrelin, leptin, GLP-1, and PYY, which are known to increase satiety and thus reduce bodyweight (46, 81). During high-fat diet (HFD) feeding, the microbiota increases gut permeability through mechanisms that involve GLP-1. The result is systemic inflammation, which induces central inflammation via humoral, cellular (microglial), or unknown neural pathways. Energy homeostasis is thus impaired and food intake continues to increase.

Moreover, SCFAs, mainly butyrate, are used as an energy source for colonocytes. Also, SCFAs can contribute to several metabolic pathways, including gluconeogenesis (propionate) and lipogenesis (acetate) (8). Firmicutes are the main butyrate-producing bacteria in the human gut, especially Clostridium leptum, Faecalibacterium prausnitzii, Roseburia spp. and Eubacterium rectale. In addition, propionate and acetate are mostly produced by the Bacteroidetes phylum (77). SCFAs can act as signaling molecules and activate several pathways. An example is the activation of the 5' adenosine monophosphate-activated protein kinase (AMPK) in muscle tissues and in the liver. AMPK activates key factors involved in lipid and glucose metabolism such as PPARγ, PPARγ coactivator 1 alpha (PGC-1α), and liver X receptors (LXR) (77). AMPK is a sensor of adenine nucleotides that is activated in states of low cellular energy. In this context, AMPK can stimulate fatty-acid oxidation and mitochondrial biogenesis, which are alternative mechanisms to generate adenosine triphosphate (ATP) (10, 15). SCFAs may also act as ligands for G-protein-coupled receptors, also called free fatty-acid receptors (GPR or FFAR), in the gut. These are GPR41 (FFAR3), GPR43 (FFAR2), and GPR109A. The result is the suppression of pro-inflammatory cytokine secretion. SCFAs link GPR-41 and GPR-43, stimulating the secretion of GLP-1 and PYY (8, 10, 13). The interaction of butyrate with GPR109A reduces the inflammation mediated by interleukin (IL)-8 and IL-10 and promotes lipolysis in adipose tissue (82). In addition, butyrate may induce fatty-acid oxidation, lipolysis, and thermogenesis, while acetate exerts an anti-lipolytic effect in the WAT, reduces fat accumulation and stimulates mitochondrial activity in the liver (8). The antilipolytic effect of acetate might be caused by reduced phosphorylation of hormone-sensitive lipase in a GPR-dependent manner (9).

AMPK activation induces PGC-1 and SIRT1 expression, which regulates lipolysis-involved cell energy metabolism, and suppresses sterol regulatory element-binding protein 1 (SREBP-1) expression, which regulates the genes involved in lipogenesis required for glucose metabolism and fatty acid and lipid production (16). In this context, blueberry polyphenols increased AMPK phosphorylation in liver and WAT and reduced the expression of genes linked to lipogenesis regulation (PPARÎł, FAS, and SREBP-1) in the liver of mice (14). Resveratrol also decreased the expression of FAS, SREBP-1, and SCD-1 while increased the expression of genes involved in glucose and fatty acids oxidation (carnitine palmitoyltransferase (CPT)-1α, pyruvate dehydrogenase kinase (PDK) 4 and PPAR-α) in obese mice (83). In male Zucker (fa/fa) rats, resveratrol supplemented orally (15 mg/kg body weight/d) for 6 weeks, reduced serum TNF-α, monocyte chemoattractant protein-1 (MCP-1), and C-reactive protein (CRP) levels, as well as protein expression of IL-6, the activity of NF-ÎșB and macrophage infiltration in adipose tissue were decreased by resveratrol (84).

In gut dysbiosis, lipopolysaccharide (LPS), a main component of the outer membrane of Gram-negative bacteria, promotes macrophage recruitment and polarization in WAT, inducing inflammation through the Toll-like receptor (TLR) 4 (Figure 1). LPS binds TLR4 and triggers a cascade of reactions inside the cell that culminates in the release of the NF-kB from the IKK complex and its translocation to the nucleus, activating the inflammatory response. Increase in plasma LPS levels leads to increased gut permeability, probably due to reduced expression of proteins that compose the tight junction, i.e., zonulin and occludin. This proteins create a gut epithelial barrier that prevents the bacterial population and products from the gut lumen reaching the blood circulation (15). High LPS concentration in the circulation causes metabolic endotoxemia and induces the production of inflammatory cytokines and mediators such as CRP, which contribute to chronic low-grade inflammation and subsequent cardiovascular risk increase (6).

Figure 1

Figure 1

Metabolic effects of LPS and the effect of polyphenols on beneficial bacteria on enterocytes. (A) Leaky and inflamed gut. A Western diet, rich in simple carbohydrates (sugar), saturated fatty acids, and low in dietetic fiber, may cause obesity-related dysbiosis, and, consequently, loss of gut barrier integrity. The reduction of mucosal layer thickness and increase in the gut barrier permeability favors the LPS pass through the intestinal cells to the bloodstream, resulting in metabolic endotoxemia. LPS is transported to the target tissues by chylomicrons. LPS binds to TLR-4 in the target tissue and triggers an inflammatory response. (B) Normal gut. Dietary polyphenols may sequester reactive oxygen species (ROS); increase Bifidobacterium spp., Lactobacillus spp., and Akkermansia muciniphila which are associated with the preservation of the integrity of the intestinal mucus layer and intestinal barrier function; and increase Faecalibacterium prausnitzii which inhibits the NF-kB activation. Thereby, there is a reduction in lipid storage, insulin resistance, and inflammation. →, Activation; ⊣, Inhibition; CRP, C-reactive protein; FFA, free fatty acids; IL, Interleukin; LPS, lipopolysaccharide; NAFLD, non-alcoholic fatty liver disease; NF-kB, nuclear factor-kappa B; SAA, serum amyloid A; TLR-4, Toll-like receptor-4; TNF-α, tumor necrosis factor alpha; TNFR-1, TNF receptor-1.

LPS is also linked to impairing pancreatic ÎČ-cells by suppressing insulin secretion (77). Metabolic endotoxemia is associated with increased body fat, insulin resistance and increased expression of pro-inflammatory biomarkers (85). Therefore, gut microbiota dysbiosis is involved in various chronic conditions, such as obesity, diabetes, metabolic syndrome, and CVD. Dysbiosis might also promote the synthesis of SCFAs, which affect the production of cholesterol and fatty acids in the liver, thereby altering the metabolism of lipids (76). Diet has a fundamental influence on the remodeling of the gut microbiota, altering its composition and functionality, which in turn can modulate the susceptibility to disease (86, 87). Butyrate induces mucus production, which decreases bacterial transport across the epithelium. It also improves gut integrity by increasing tight junction protein expression (15). Propionate increases intestinal gluconeogenesis (88), inhibiting the synthesis of hepatic cholesterol; it may also attenuate the secretion of cytokines (IL-4, IL-10, TNF) and chemokines (9). Polyphenols such as resveratrol can increase the Faecalibacterium prausnitzii, which inhibits the NF-kB activation. Curcumin supplementation attenuated the Western-diet-induced increase in plasma LPS levels and improved intestinal barrier function in LDLR−/− mice (89).

The greater density of Bacteroidetes has been associated with increased butyrate and propionate levels, which contribute to healthy bodyweight by inhibiting hunger and helping to maintain glucose homeostasis. Both propionate and succinate were described as efficient substrates for glucose production in the liver (7). Human evidence of a beneficial effect of SCFAs on bodyweight control, inflammation, and insulin sensitivity is increasing, as is evidence regarding its role in glucose and lipid homeostasis (9). The health properties attributed to beneficial bacteria (Bifidobacterium spp. and Lactobacillus spp.) for human hosts are manifold. They include nutrient processing, reduction of serum cholesterol, protection against gastrointestinal disorders and pathogens, reinforcement of intestinal epithelial cell-tight junctions, and increased mucus secretion and modulation of the intestinal immune response through cytokine stimulus (25, 34, 49). The wide diversity of microbial communities among people can result in vast variability in the composition and functions of the interindividual microbiome (24, 76, 86, 87, 90).

Polyphenols have been compared to prebiotics, since by definition prebiotics are non-digestible polysaccharides. After metabolism by gut microbiota, these polysaccharides modulate the composition and/or function of the microbiota, providing a beneficial physiological effect on the host (14, 91). Polyphenols may protect against diet-induced obesity, although their effects on food intake are controversial. Possibly, polyphenols increase the secretion of mucin and remove reactive oxygen species (ROS), creating a beneficial environment for the bloom of the anaerobic Akkermansia muciniphila, and ameliorating metabolic endotoxemia (91). Resveratrol exerts effects on intestinal barrier function and integrity. Evidence indicates that resveratrol can upregulate the expression of intestinal tight junction proteins (46). A. muciniphila, Lactobacillus spp. and Bifidobacterium spp. preserve the integrity of the intestinal mucus and intestinal barrier function, and counteract the deleterious effect of HFD on gut permeability. A. muciniphila abundance is inversely correlated with bodyweight and with an improved metabolic profile (7, 13). The abundance of A. muciniphila was found to decrease in obese and diabetic animals and humans (7). Treatment with A. muciniphila has been suggested to reduce the risk of obesity and related metabolic disorders, because these bacteria have been shown in mice to reverse endotoxemia, inflammation in adipose tissue, gain of adipose mass, and insulin resistance (92).

Phenolic metabolites derived from microbial metabolism may exert an anti-inflammatory effect in human health. Dehydroxylated phenolic acids derived from microbial metabolism of proanthocyanidins reduced the secretion of IL-6, IL-1ÎČ, and TNF-α in LPS-stimulated peripheral blood mononuclear cells from healthy subjects (93). Tucsek et al. (94) treated macrophages with LPS to induce an inflammatory response. The authors found that polyphenol metabolites, such as ferulaldehyde, induced an anti-inflammatory response by reducing MAPK activation, which inhibited NF-ÎșB and ROS production. Flavonols and proanthocyanidins provided as cranberry extract attenuated HFD-induced obesity and associated metabolic changes. In addition, the extract increased Akkermansia muciniphila, similar to prebiotic administration (80).

Branched-chain amino acids (BCAA) have been shown to be increased in obesity and T2D, contributing to the development of obesity-related insulin resistance. Possibly, polyphenols from blueberry powder can increase genes for BCAA degradation and consequently improve insulin sensitivity (16).

The beneficial effects of polyphenols in humans are still inconclusive. One reason for that is the high interindividual variation related to polyphenols metabolism and the heterogeneity of individual biological responsiveness to their intake. Most evidence of the anti-obesity effect of polyphenols comes from animal studies (14, 16, 21, 83). Whether animal findings can be extrapolated to humans still warrants further investigation. Moreover, several in vitro studies have used dietetic polyphenols instead of the bioactive metabolites. Often polyphenols are used at levels above the physiological concentration. It is necessary to establish the concentration of polyphenols in the circulation and tissues, and to perform cell studies using physiological concentrations of the bioactive metabolites. In addition, more well-designed clinical trials that consider interindividual variation in polyphenol metabolism, and the key role of the microbiota are needed to establish the role of polyphenols in obesity-related metabolic diseases. The association of the microbiome analysis with other omics such as genomics, transcriptomics, proteomics, and metabolomics will be able to clarify the biological effects of the polyphenol-microbiota interactions.

Concluding Remarks and Future Perspectives

Evidence highlights the importance of the gut microbiota in metabolic diseases such as obesity and T2D, by affecting key pathways such as energy homeostasis and inflammation. Diet plays a prominent role in modulating the gut microbiota. The two-way interactions between polyphenols and the gut microbiota may contribute to host health benefits. This two-way interaction entails microbial degradation of polyphenols and modulation of gut microbiota by polyphenols and their metabolites, which inhibits pathogenic bacteria and stimulates beneficial bacteria.

Despite the possible benefits of polyphenols for human health through modulating the microbiome, studies have been scarce and present several limitations. The human gut microbiome composition is complex, and the relative proportion of bacteria types varies widely among individuals. In addition, the metabolome is influenced not only by the gut microbiota but also by genetic and environmental factors. Hence, significant differences in metabolite concentrations may be observed even if subjects consume the same diet. Thus, an effective association of metagenomics with other “omics” data can clarify the complex biosynthetic pathways of the gut microbiota. Insight obtained from such integrative studies may also simplify the development of non-invasive diagnostic tools for preventing and treating metabolic diseases, and help to optimize personalized medicine.

Statements

Author contributions

TC and MR designed the review. TC wrote the manuscript. MR, NH, and FL revised and approved the manuscript.

Funding

Authors thank the SĂŁo Paulo Research Foundation (FAPESP) for financial support (Grant 2013/07914-8). TC thanks the National Counsel of Technological and Scientific Development (CNPq) for the postdoctoral fellowship (Grant 153624/2018-3).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

  • 1.

    Van Hul M Geurts L Plovier H Druart C Everard A StĂ„hlman M et al . Reduced obesity, diabetes and steatosis upon cinnamon and grape pomace are associated with changes in gut microbiota and markers of gut barrier. Am J Physiol-Endocrinol Metab. (2017) 314:E334–52. 10.1152/ajpendo.00107.2017

  • 2.

    Collins B Hoffman J Martinez K Grace M Lila MA Cockrell C et al . A polyphenol-rich fraction obtained from table grapes decreases adiposity, insulin resistance and markers of inflammation and impacts gut microbiota in high-fat-fed mice. J Nutr Biochem. (2016) 31:150–65. 10.1016/j.jnutbio.2015.12.021

  • 3.

    Pan MH Wu JC Ho CT Lai CS . Antiobesity molecular mechanisms of action: Resveratrol and pterostilbene. Biofactors. (2018) 44:50–60. 10.1002/biof.1409

  • 4.

    Rogero MM Calder PC . Obesity, inflammation, toll-like receptor 4 and fatty acids. Nutrients. (2018) 10:432. 10.3390/nu10040432

  • 5.

    Dao MC ClĂ©ment K . Gut microbiota and obesity: concepts relevant to clinical care. Eur J Intern Med. (2018) 48:18–24. 10.1016/j.ejim.2017.10.005

  • 6.

    Gonzålez-Sarrías A Romo Vaquero M García-Villalba R Cortés-Martín A Selma MV Espín JC . The endotoxemia marker lipopolysaccharide-binding protein is reduced in overweight-obese subjects consuming pomegranate extract by modulating the gut microbiota: a randomized clinical trial. Mol Nutr Food Res. (2018) 62:1800160. 10.1002/mnfr.201800160

  • 7.

    Eid HM Wright ML Anil Kumar NV Qawasmeh A Hassan STS Mocan A et al . Significance of microbiota in obesity and metabolic diseases and the modulatory potential by medicinal plant and food ingredients. Front Pharmacol. (2017) 8:387. 10.3389/fphar.2017.00387

  • 8.

    Cani PD Van Hul M Lefort C Depommier C Rastelli M Everard A . Microbial regulation of organismal energy homeostasis. Nat Metab. (2019) 1:34. 10.1038/s42255-018-0017-4

  • 9.

    Canfora EE Meex RCR Venema K Blaak EE . Gut microbial metabolites in obesity, NAFLD and T2DM. Nat Rev Endocrinol. (2019) 15:261–73. 10.1038/s41574-019-0156-z

  • 10.

    GĂ©rard P . Gut microbiota and obesity. Cell Mol Life Sci. (2016) 73:147–62. 10.1007/s00018-015-2061-5

  • 11.

    Al-Assal K Martinez AC Torrinhas RS Cardinelli C Waitzberg D . Gut microbiota and obesity. Clin Nutr Exp. (2018) 20:60–4. 10.1016/j.yclnex.2018.03.001

  • 12.

    Meijnikman AS Gerdes VE Nieuwdorp M Herrema H . Evaluating causality of gut microbiota in obesity and diabetes in humans. Endocr Rev. (2017) 39:133–53. 10.1210/er.2017-00192

  • 13.

    Danneskiold-Samsþe NB Barros HDdFQ Santos R Bicas JL Cazarin CBB Madsen L et al . Interplay between food and gut microbiota in health and disease. Food Res Int. (2019) 115:23–31. 10.1016/j.foodres.2018.07.043

  • 14.

    Jiao X Wang Y Lin Y Lang Y Li E Zhang X et al . Blueberry polyphenols extract as a potential prebiotic with anti-obesity effects on C57BL/6 J mice by modulating the gut microbiota. J Nutr Biochem. (2019) 64:88–100. 10.1016/j.jnutbio.2018.07.008

  • 15.

    Saad MJA Santos A Prada PO . Linking gut microbiota and inflammation to obesity and insulin resistance. Physiology. (2016) 31:283–93. 10.1152/physiol.00041.2015

  • 16.

    AnhĂȘ FF Varin TV Le Barz M Desjardins Y Levy E Roy D et al . Gut microbiota dysbiosis in obesity-linked metabolic diseases and prebiotic potential of polyphenol-rich extracts. Curr Obes Rep. (2015) 4:389–400. 10.1007/s13679-015-0172-9

  • 17.

    Carrera-Quintanar L LĂłpez Roa RI Quintero-FabiĂĄn S SĂĄnchez-SĂĄnchez MA Vizmanos B Ortuño-SahagĂșn D . Phytochemicals that influence gut microbiota as prophylactics and for the treatment of obesity and inflammatory diseases. Mediat Inflamm. (2018) 2018, 1–8. 10.1155/2018/9734845

  • 18.

    Dueñas M Muñoz-Gonzålez I Cueva C Jiménez-Girón A Sånchez-Patån F Santos-Buelga C et al . A survey of modulation of gut microbiota by dietary polyphenols. BioMed Res Int. (2015) 2015:1e15. 10.1155/2015/850902

  • 19.

    Cowan TE PalmnĂ€s MSA Yang J Bomhof MR Ardell KL Reimer RA et al . Chronic coffee consumption in the diet-induced obese rat: impact on gut microbiota and serum metabolomics. J Nutr Biochem. (2014) 25:489–95. 10.1016/j.jnutbio.2013.12.009

  • 20.

    Van Hul M Cani PD . Targeting carbohydrates and polyphenols for a healthy microbiome and healthy weight. Curr Nutr Rep. (2019) 1851:503–18. 10.1007/s13668-019-00281-5

  • 21.

    AnhĂȘ FF Nachbar RT Varin TV Trottier J DudonnĂ© S Le Barz M et al . Treatment with camu camu (Myrciaria dubia) prevents obesity by altering the gut microbiota and increasing energy expenditure in diet-induced obese mice. Gut. (2019) 68:453–64. 10.1136/gutjnl-2017-315565

  • 22.

    Hussain MB Hassan S Waheed M Javed A Farooq MA Tahir A . Bioavailability and metabolic pathway of phenolic compounds. In: Soto-Hernández M, editor. Plant Physiological Aspects of Phenolic CompoundsLondon, UK: IntechOpen (2019). p. 347–76. 10.5772/intechopen.77494

  • 23.

    Phenol-Explorer . Database on Polyphenol Content in Foods. (2019). Available online at: http://phenol-explorer.eu/ (accessed October 23, 2019).

  • 24.

    Mosele JI Macià A Motilva M-J . Metabolic and microbial modulation of the large intestine ecosystem by non-absorbed diet phenolic compounds: a review. Molecules. (2015) 20:17429–68. 10.3390/molecules200917429

  • 25.

    Cardona F AndrĂ©s-Lacueva C Tulipani S Tinahones FJ Queipo-Ortuño MI . Benefits of polyphenols on gut microbiota and implications in human health. J Nutr Biochem. (2013) 24:1415–22. 10.1016/j.jnutbio.2013.05.001

  • 26.

    Murota K Nakamura Y Uehara M . Flavonoid metabolism: the interaction of metabolites and gut microbiota. Biosci Biotechnol Biochem. (2018) 82:600–10. 10.1080/09168451.2018.1444467

  • 27.

    Chen L Cao H Xiao J . 2 - Polyphenols: absorption, bioavailability, and metabolomics. In: Galanakis CM, editor. Polyphenols: Properties, Recovery, and Applications.Sawston: Woodhead Publishing (2018). p. 45–67. 10.1016/B978-0-12-813572-3.00002-6

  • 28.

    Cassidy A Minihane A-M . The role of metabolism (and the microbiome) in defining the clinical efficacy of dietary flavonoids. Am J Clin Nutr. (2017) 105:10–22. 10.3945/ajcn.116.136051

  • 29.

    Dueñas M Cueva C Muñoz-GonzĂĄlez I JimĂ©nez-GirĂłn A SĂĄnchez-PatĂĄn F Santos-Buelga C et al . Studies on modulation of gut microbiota by wine polyphenols: from isolated cultures to omic approaches. Antioxidants. (2015) 4:1–21. 10.3390/antiox4010001

  • 30.

    Choy YY Quifer-Rada P Holstege DM Frese SA Calvert CC Mills DA et al . Phenolic metabolites and substantial microbiome changes in pig feces by ingesting grape seed proanthocyanidins. Food Funct. (2014) 5:2298–308. 10.1039/C4FO00325J

  • 31.

    Selma MV Beltrán D García-Villalba R Espín JC Tomás-Barberán FA . Description of urolithin production capacity from ellagic acid of two human intestinal Gordonibacter species. Food Funct. (2014) 5:1779–84. 10.1039/C4FO00092G

  • 32.

    Bode LM Bunzel D Huch M Cho G-S Ruhland D Bunzel M et al . In vivo and in vitro metabolism of trans-resveratrol by human gut microbiota. Am J Clin Nutr. (2013) 97:295–309. 10.3945/ajcn.112.049379

  • 33.

    Selma MV Espin JC Tomas-Barberan FA . Interaction between phenolics and gut microbiota: role in human health. J Agric Food Chem. (2009) 57:6485–501. 10.1021/jf902107d

  • 34.

    Ozdal T Sela DA Xiao J Boyacioglu D Chen F Capanoglu E . The reciprocal interactions between polyphenols and gut microbiota and effects on bioaccessibility. Nutrients. (2016) 8:78. 10.3390/nu8020078

  • 35.

    Krga I Milenkovic D . Anthocyanins: from sources and bioavailability to cardiovascular-health benefits and molecular mechanisms of action. J Agric Food Chem. (2019) 67:1771–83. 10.1021/acs.jafc.8b06737

  • 36.

    Etxeberria U Fernández-Quintela A Milagro FI Aguirre L Martínez JA Portillo MP . Impact of polyphenols and polyphenol-rich dietary sources on gut microbiota composition. J Agric Food Chem. (2013) 61:9517–33. 10.1021/jf402506c

  • 37.

    Huttenhower C Gevers D Knight R Abubucker S Badger JH Chinwalla AT et al . Structure, function and diversity of the healthy human microbiome. Nature. (2012) 486:207. 10.1038/nature11234

  • 38.

    Moco S Martin Fo-PJ Rezzi S . Metabolomics view on gut microbiome modulation by polyphenol-rich foods. J Proteome Res. (2012) 11:4781–90. 10.1021/pr300581s

  • 39.

    Rowland I Gibson G Heinken A Scott K Swann J Thiele I et al . Gut microbiota functions: metabolism of nutrients and other food components. Eur J Nutr. (2018) 57:1–24. 10.1007/s00394-017-1445-8

  • 40.

    Marin L Miguelez EM Villar CJ Lombo F . Bioavailability of dietary polyphenols and gut microbiota metabolism: antimicrobial properties. BioMed Res Intern. (2015) 2015:905215. 10.1155/2015/905215

  • 41.

    Braune A Blaut M . Bacterial species involved in the conversion of dietary flavonoids in the human gut. Gut Microbes. (2016) 7:216–34. 10.1080/19490976.2016.1158395

  • 42.

    CortĂ©s-MartĂ­n A Garcia-Villalba R Gonzalez-Sarrias A Romo-Vaquero M Loria-Kohen V Ramirez-de-Molina A et al . The gut microbiota urolithin metabotypes revisited: the human metabolism of ellagic acid is mainly determined by aging. Food Funct. (2018) 9:4100–6. 10.1039/C8FO00956B

  • 43.

    González-Sarrías A García-Villalba R Romo-Vaquero M Alasalvar C Örem A Zafrilla P et al . Clustering according to urolithin metabotype explains the interindividual variability in the improvement of cardiovascular risk biomarkers in overweight-obese individuals consuming pomegranate: a randomized clinical trial. Mol Nutr Food Res. (2017) 61:1600830. 10.1002/mnfr.201600830

  • 44.

    Selma MV GonzĂĄlez-SarrĂ­as A Salas-SalvadĂł J AndrĂ©s-Lacueva C Alasalvar C Örem A et al . The gut microbiota metabolism of pomegranate or walnut ellagitannins yields two urolithin-metabotypes that correlate with cardiometabolic risk biomarkers: comparison between normoweight, overweight-obesity and metabolic syndrome. Clin Nutr. (2018) 37:897–905. 10.1016/j.clnu.2017.03.012

  • 45.

    Teixeira LL Costa GR Dörr FA Ong TP Pinto E Lajolo FM et al . Potential antiproliferative activity of polyphenol metabolites against human breast cancer cells and their urine excretion pattern in healthy subjects following acute intake of a polyphenol-rich juice of grumixama (Eugenia brasiliensis Lam.). Food Funct. (2017) 8:2266–74. 10.1039/C7FO00076F

  • 46.

    Bird JK Raederstorff D Weber P Steinert RE . Cardiovascular and antiobesity effects of resveratrol mediated through the gut microbiota. Adv Nutr. (2017) 8:839–49. 10.3945/an.117.016568

  • 47.

    Tzounis X Vulevic J Kuhnle GGC George T Leonczak J Gibson GR et al . Flavanol monomer-induced changes to the human faecal microflora. Br J Nutr. (2008) 99:782–92. 10.1017/S0007114507853384

  • 48.

    Fogliano V Corollaro ML Vitaglione P Napolitano A Ferracane R Travaglia F et al . In vitro bioaccessibility and gut biotransformation of polyphenols present in the water-insoluble cocoa fraction. Mol Nutr Food Res. (2011) 55:S44–55. 10.1002/mnfr.201000360

  • 49.

    Hidalgo M Oruna-Concha MJ Kolida S Walton GE Kallithraka S Spencer JPE et al . Metabolism of anthocyanins by human gut microflora and their influence on gut bacterial growth. J Agric Food Chem. (2012) 60:3882–90. 10.1021/jf3002153

  • 50.

    Lee HC Jenner AM Low CS Lee YK . Effect of tea phenolics and their aromatic fecal bacterial metabolites on intestinal microbiota. Res Microbiol. (2006) 157:876–84. 10.1016/j.resmic.2006.07.004

  • 51.

    Sun H Chen Y Cheng M Zhang X Zheng X Zhang Z . The modulatory effect of polyphenols from green tea, oolong tea and black tea on human intestinal microbiota in vitro. J Food Sci Technol. (2018) 55:399–407. 10.1007/s13197-017-2951-7

  • 52.

    Chen M-l Yi L Zhang Y Zhou X Ran L Yang J et al . Resveratrol attenuates trimethylamine-N-oxide (TMAO)-induced atherosclerosis by regulating TMAO synthesis and bile acid metabolism via remodeling of the gut microbiota. MBio. (2016) 7:e02210–15. 10.1128/mBio.02210-15

  • 53.

    Zhao L Zhang Q Ma W Tian F Shen H Zhou M . A combination of quercetin and resveratrol reduces obesity in high-fat diet-fed rats by modulation of gut microbiota. Food Funct. (2017) 8:4644–56. 10.1039/C7FO01383C

  • 54.

    Henning SM Yang J Hsu M Lee R-P Grojean EM Ly A et al . Decaffeinated green and black tea polyphenols decrease weight gain and alter microbiome populations and function in diet-induced obese mice. Eur J Nutr. (2018) 57:2759–69. 10.1007/s00394-017-1542-8

  • 55.

    Lacombe A Li RW Klimis-Zacas D Kristo AS Tadepalli S Krauss E et al . Lowbush wild blueberries have the potential to modify gut microbiota and xenobiotic metabolism in the rat colon. PLoS ONE. (2013) 8:e67497. 10.1371/journal.pone.0067497

  • 56.

    Larrosa M Yañéz-GascĂłn MaJ Selma MaV GonzĂĄlez-SarrĂ­as A Toti S CerĂłn JJn et al . Effect of a low dose of dietary resveratrol on colon microbiota, inflammation and tissue damage in a DSS-induced colitis rat model. J Agric Food Chem. (2009) 57:2211–20. 10.1021/jf803638d

  • 57.

    AnhĂȘ FF Varin TV Le Barz M Pilon G DudonnĂ© S Trottier J et al . Arctic berry extracts target the gut–liver axis to alleviate metabolic endotoxaemia, insulin resistance and hepatic steatosis in diet-induced obese mice. Diabetologia. (2018) 61:919–31. 10.1007/s00125-017-4520-z

  • 58.

    Neyrinck AM Van HĂ©e VF Bindels LB De Backer F Cani PD Delzenne NM . Polyphenol-rich extract of pomegranate peel alleviates tissue inflammation and hypercholesterolaemia in high-fat diet-induced obese mice: potential implication of the gut microbiota. Br J Nutr. (2013) 109:802–9. 10.1017/S0007114512002206

  • 59.

    Roopchand DE Carmody RN Kuhn P Moskal K Rojas-Silva P Turnbaugh PJ et al . Dietary polyphenols promote growth of the gut bacterium Akkermansia muciniphila and attenuate high-fat diet–induced metabolic syndrome. Diabetes. (2015) 64:2847–58. 10.2337/db14-1916

  • 60.

    Tzounis X Rodriguez-Mateos A Vulevic J Gibson GR Kwik-Uribe C Spencer JPE . Prebiotic evaluation of cocoa-derived flavanols in healthy humans by using a randomized, controlled, double-blind, crossover intervention study. Am J Clin Nutr. (2011) 93:62–72. 10.3945/ajcn.110.000075

  • 61.

    Moreno-Indias I SĂĄnchez-Alcoholado L PĂ©rez-MartĂ­nez P AndrĂ©s-Lacueva C Cardona F Tinahones F et al . Red wine polyphenols modulate fecal microbiota and reduce markers of the metabolic syndrome in obese patients. Food Funct. (2016) 7:1775–87. 10.1039/C5FO00886G

  • 62.

    Queipo-Ortuño MI Boto-Ordóñez M Murri M Gomez-Zumaquero JM Clemente-Postigo M Estruch R et al . Influence of red wine polyphenols and ethanol on the gut microbiota ecology and biochemical biomarkers–. Am J Clin Nutr. (2012) 95:1323–34. 10.3945/ajcn.111.027847

  • 63.

    Brasili E Hassimotto NMA Del Chierico F Marini F Quagliariello A Sciubba F et al . Daily consumption of orange juice from Citrus sinensis L. Osbeck cv. Cara Cara and cv. Bahia differently affects Gut Microbiota Profiling as unveiled by an integrated meta-omics approach. J Agric Food Chem. (2019) 67:1381–91. 10.1021/acs.jafc.8b05408

  • 64.

    CorrĂȘa TAF Rogero MM . Polyphenols regulating microRNAs and inflammation biomarkers in obesity. Nutrition. (2019) 59:150–7. 10.1016/j.nut.2018.08.010

  • 65.

    Martino HSD dos Santos Dias MM Noratto G Talcott S Mertens-Talcott SU . Anti-lipidaemic and anti-inflammatory effect of açai (Euterpe oleracea Martius) polyphenols on 3T3-L1 adipocytes. J Funct Food. (2016) 23:432–43. 10.1016/j.jff.2016.02.037

  • 66.

    Gonzales AM Orlando RA . Curcumin and resveratrol inhibit nuclear factor-kappaB-mediated cytokine expression in adipocytes. Nutr Metab. (2008) 5:17. 10.1186/1743-7075-5-17

  • 67.

    Gracia A Miranda J Fernández-Quintela A Eseberri I Garcia-Lacarte M Milagro FI et al . Involvement of miR-539–5p in the inhibition of de novo lipogenesis induced by resveratrol in white adipose tissue. Food Funct. (2016) 7:1680–8. 10.1039/C5FO01090J

  • 68.

    Most J Warnke I Boekschoten MV Jocken JWE de Groot P Friedel A et al . The effects of polyphenol supplementation on adipose tissue morphology and gene expression in overweight and obese humans. Adipocyte. (2018) 7:190–6. 10.1080/21623945.2018.1469942

  • 69.

    BladĂ© C Baselga-Escudero L SalvadĂł MJ Arola-Arnal A . miRNAs, polyphenols, and chronic disease. Mol Nutr Food Res. (2013) 57:58–70. 10.1002/mnfr.201200454

  • 70.

    Suh JH Wang Y Ho C-T . Natural dietary products and their effects on appetite control. J Agric Food Chem. (2018) 66:36–9. 10.1021/acs.jafc.7b05104

  • 71.

    Hlebowicz J Hlebowicz A Lindstedt S Björgell O Höglund P Holst JJ et al . Effects of 1 and 3 g cinnamon on gastric emptying, satiety, and postprandial blood glucose, insulin, glucose-dependent insulinotropic polypeptide, glucagon-like peptide 1, and ghrelin concentrations in healthy subjects–. Am J Clin Nutr. (2009) 89:815–21. 10.3945/ajcn.2008.26807

  • 72.

    Gowd V Karim N Shishir MRI Xie L Chen W . Dietary polyphenols to combat the metabolic diseases via altering gut microbiota. Trends Food Sci Tech. (2019) 93:81–93. 10.1016/j.tifs.2019.09.005

  • 73.

    Upadhyay S Dixit M . Role of polyphenols and other phytochemicals on molecular signaling. Oxid Med Cell Longev. (2015) 2015:504253. 10.1155/2015/504253

  • 74.

    Santangelo C VarĂŹ R Scazzocchio B Di Benedetto R Filesi C Masella R . Polyphenols, intracellular signalling and inflammation. Ann Ist Super Sanita. (2007) 43:394.

  • 75.

    Sung MM Kim TT Denou E Soltys C-LM Hamza SM Byrne NJ et al . Improved glucose homeostasis in obese mice treated with resveratrol is associated with alterations in the gut microbiome. Diabetes. (2017) 66:418–25. 10.2337/db16-0680

  • 76.

    Chåvez-Carbajal A Nirmalkar K Pérez-Lizaur A Hernåndez-Quiroz F Ramírez-del-Alto S García-Mena J et al . Gut microbiota and predicted metabolic pathways in a sample of mexican women affected by obesity and obesity plus metabolic syndrome. Int J Mol Sci. (2019) 20:438. 10.3390/ijms20020438

  • 77.

    Baothman OA Zamzami MA Taher I Abubaker J Abu-Farha M . The role of gut microbiota in the development of obesity and diabetes. Lipids Health Dis. (2016) 15:108. 10.1186/s12944-016-0278-4

  • 78.

    Vrieze A Van Nood E Holleman F Salojarvi J Kootte RS Bartelsman JF et al . Transfer of intestinal microbiota from lean donors increases insulin sensitivity in individuals with metabolic syndrome. Gastroenterology. (2012) 143:913–6.e7. 10.1053/j.gastro.2012.06.031

  • 79.

    Hassimotto NMA Lajolo FM . Polifenóis. Genîmica Nutricional: Dos Fundamentos à Nutrição Molecular.Barueri, SP: Manole (2017). p. 230–42.

  • 80.

    Jin T Song Z Weng J I George Fantus D . Curcumin and other dietary polyphenols: potential mechanisms of metabolic actions and therapy for diabetes and obesity. Am J Physiol-Endocrinol Metab. (2017) 314:E201–5. 10.1152/ajpendo.00285.2017

  • 81.

    Tang WHW Kitai T Hazen SL . Gut microbiota in cardiovascular health and disease. Circ Res. (2017) 120:1183–96. 10.1161/CIRCRESAHA.117.309715

  • 82.

    De Velasco P Ferreira A Crovesy L Marine T Do Carmo MDGT . Fatty acids, gut microbiota, and the genesis of obesity. In: Waisundara V, editor. Biochem Health Benefits Fatty Acids.London, UK: IntechOpen (2018). p. 51–70. 10.5772/intechopen.80664

  • 83.

    Wang P Li D Ke W Liang D Hu X Chen F . Resveratrol-induced gut microbiota reduces obesity in high-fat diet-fed mice. Int J Obes. (2019). [Epub ahead of print]. 10.1038/s41366-019-0332-1.

  • 84.

    Gómez-Zorita S Fernández-Quintela A Lasa A Hijona E Bujanda L Portillo MP . Effects of resveratrol on obesity-related inflammation markers in adipose tissue of genetically obese rats. Nutrition. (2013) 29:1374–80. 10.1016/j.nut.2013.04.014

  • 85.

    Cani PD Bibiloni R Knauf C Waget A Neyrinck AM Delzenne NM et al . Changes in gut microbiota control metabolic endotoxemia-induced inflammation in high-fat diet–induced obesity and diabetes in mice. Diabetes. (2008) 57:1470–81. 10.2337/db07-1403

  • 86.

    De Filippis F Vitaglione P Cuomo R Berni Canani R Ercolini D . Dietary interventions to modulate the gut microbiome—how far away are we from precision medicine. Inflamm Bowel Dis. (2018) 24:2142–54. 10.1093/ibd/izy080

  • 87.

    Jacobs DM Gaudier E Duynhoven Jv Vaughan EE . Non-digestible food ingredients, colonic microbiota and the impact on gut health and immunity: a role for metabolomics. Cur Drug Metab. (2009) 10:41–54. 10.2174/138920009787048383

  • 88.

    Castro-Barquero S Lamuela-Raventós R Doménech M Estruch R . Relationship between mediterranean dietary polyphenol intake and obesity. Nutrients. (2018) 10:1523. 10.3390/nu10101523

  • 89.

    Ghosh SS Bie J Wang J Ghosh S . Oral supplementation with non-absorbable antibiotics or curcumin attenuates western diet-induced atherosclerosis and glucose intolerance in LDLR–/– mice–role of intestinal permeability and macrophage activation. PLoS ONE. (2014) 9:e108577. 10.1371/journal.pone.0108577

  • 90.

    Espín JC González-Sarrías A Tomás-Barberán FA . The gut microbiota: a key factor in the therapeutic effects of (poly)phenols. Biochem Pharmacol. (2017) 139:82–93. 10.1016/j.bcp.2017.04.033

  • 91.

    Mulders RJ de Git KCG SchĂ©le E Dickson SL Sanz Y Adan RAH . Microbiota in obesity: interactions with enteroendocrine, immune and central nervous systems. Obes Rev. (2018) 19:435–51. 10.1111/obr.12661

  • 92.

    Everard A Belzer C Geurts L Ouwerkerk JP Druart C Bindels LB et al . Cross-talk between Akkermansia muciniphila and intestinal epithelium controls diet-induced obesity. Proc Nat Acad Sci USA. (2013) 110:9066–71. 10.1073/pnas.1219451110

  • 93.

    Monagas M Khan N AndrĂ©s-Lacueva C UrpĂ­-SardĂĄ M VĂĄzquez-Agell M Lamuela-RaventĂłs RM et al . Dihydroxylated phenolic acids derived from microbial metabolism reduce lipopolysaccharide-stimulated cytokine secretion by human peripheral blood mononuclear cells. Br J Nutr. (2009) 102:201–6. 10.1017/S0007114508162110

  • 94.

    Tucsek Z Radnai B Racz B Debreceni B Priber JK Dolowschiak T et al . Suppressing LPS-induced early signal transduction in macrophages by a polyphenol degradation product: a critical role of MKP-1. J Leukocyte Biol. (2011) 89:105–11. 10.1189/jlb.0610355

Summary

Keywords

polyphenols, obesity, inflammation, microbiome, metabolism

Citation

CorrĂȘa TAF, Rogero MM, Hassimotto NMA and Lajolo FM (2019) The Two-Way Polyphenols-Microbiota Interactions and Their Effects on Obesity and Related Metabolic Diseases. Front. Nutr. 6:188. doi: 10.3389/fnut.2019.00188

Received

18 July 2019

Accepted

05 December 2019

Published

20 December 2019

Volume

6 - 2019

Edited by

Clara G. De Los Reyes-Gavilan, Spanish National Research Council (CSIC), Spain

Reviewed by

David Rios-Covian, University of California, San Diego, United States; Ravinder Nagpal, Wake Forest School of Medicine, United States

Updates

Copyright

*Correspondence: Telma Angelina Faraldo CorrĂȘa

This article was submitted to Nutrition and Microbes, a section of the journal Frontiers in Nutrition

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Outline

Figures

Cite article

Copy to clipboard


Export citation file


Share article

Article metrics