Intestinal Microbiota Modulation in Obesity-Related Non-alcoholic Fatty Liver Disease
- 1Institute of Biomedicine, University of León, León, Spain
- 2Department of Gastroenterology, Complejo Asistencial Universitario de León, León, Spain
- 3Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, Madrid, Spain
Obesity and associated comorbidities, including non-alcoholic fatty liver disease (NAFLD), are a major concern to public well-being worldwide due to their high prevalence among the population, and its tendency on the rise point to as important threats in the future. Therapeutic approaches for obesity-associated disorders have been circumscribed to lifestyle modifications and pharmacological therapies have demonstrated limited efficacy. Over the last few years, different studies have shown a significant role of intestinal microbiota (IM) on obesity establishment and NAFLD development. Therefore, modulation of IM emerges as a promising therapeutic strategy for obesity-associated diseases. Administration of prebiotic and probiotic compounds, fecal microbiota transplantation (FMT) and exercise protocols have shown a modulatory action over the IM. In this review we provide an overview of current approaches targeting IM which have shown their capacity to counteract NAFLD and metabolic syndrome features in human patients and animal models.
Non-Alcoholic Fatty Liver Disease (NAFLD)
NAFLD has emerged as the most common chronic liver disorder in Western countries, with an estimated prevalence of between 10 and 30% in USA and Europe and about 25% worldwide (Younossi et al., 2015). NAFLD development is strongly associated with obesity, type II diabetes and other features of the metabolic syndrome such as hypertension or dyslipidemia. In the case of obesity, the link with NAFLD is especially important since 75–92% of morbidity obese individuals present some degree of fatty liver (Fazel et al., 2016). This association implies that NAFLD will be more common in the near future due to the global epidemic of obesity, with more than 1,900 million people being overweight and more than 600 million obese in 2014 (World Health Organization, 2016).
Most NAFLD patients show a benign manifestation called steatosis defined as lipid accumulation in the liver. However, the disease can progress into more severe conditions such as non-alcoholic steatohepatitis, fibrosis, cirrhosis or even hepatocellular carcinoma (Tiniakos et al., 2010).
The pathophysiology of NAFLD is not yet fully understood with many factors involved in the progression of the disease. According to the multiple parallel hit hypothesis, all of them can act together simultaneously (Tilg and Moschen, 2010). Among these factors we found insulin resistance, oxidative stress, lipid metabolism alteration, inflammatory cytokines liberation, endoplasmic reticulum stress, intestinal dysbiosis or gut-liver axis activation (Buzzetti et al., 2016).
Intestinal MICROBIOTA and NAFLD
The intestinal microbiota (IM) is a complex ecosystem where 1014 microorganisms coexists, mainly strict anaerobe bacteria though also facultative anaerobes, aerobes, small eukaryotes (fungi and protozoa) and viruses. The IM bacteria comprise two predominant bacterial phyla: Firmicutes and Bacteroidetes which reach as much as 90% of total bacterial population, although Proteobacteria, Verrucomicrobia, Actinobacteria, Fusobacteria, and Cyanobacteria are also represented (Sekirov et al., 2010). Colonization of gastrointestinal tract is believed to begin in utero and continues after birth until the early childhood (Francino, 2014) when the microbiome is relatively stable and specific of each individual (Zoetendal et al., 2008). Despite interindividual differences some authors have proposed the concept of enterotype as a core microbiome shared among the population, identifiable for a predominant bacterial genus: Bacteroides in the Enterotype 1, Prevotella in the Enterotype 2 and Ruminococcus in the Enterotype 3 (Arumugam et al., 2011). Later studies have questioned the existence of enterotypes or suggested a different classification but this attempt toward simplification could have an impact on clinical practice (Costea et al., 2018). IM acts as a live organ, carrying over protective, immune, metabolic and trophic functions (Miele et al., 2013), including non-digestible fiber fermentation and subsequent small chain fatty acids (SCFAs) production. The crosstalk between IM and the immune system, enforcing the symbiotic relationship between commensal bacteria and the host is noteworthy. This interplay modulates both adaptive and innate response to pathogens at the same time that prevents triggering immune activation in the absence of potentially harmful stimuli, thus maintaining a healthy state (Aron-Wisnewsky et al., 2013; Belkaid and Hand, 2014). In contrast, a disturbance of IM homeostasis with shifts in microbial composition, condition known as dysbiosis, may result in adverse effects for the host.
Intestinal microbiota imbalance has been documented in obese individuals (Ley et al., 2006) or with metabolic syndrome associated diseases (Qin et al., 2012; Mouzaki et al., 2013). A reduced proportion of Bacteroidetes and increased Firmicutes has been indicated as a main feature of obesity-related intestinal dysbiosis in humans (Ley et al., 2006), as well as a decrease of total bacterial diversity and richness (Turnbaugh et al., 2009; Le Chatelier et al., 2013). However, the statement of a higher Firmicutes/Bacteroidetes ratio as a hallmark of obesity is still controversial with most of the studies sustaining that, while others found no difference (Duncan et al., 2008) or even support the opposite (Schwiertz et al., 2010), although this can be attributed to methodological differences. Moreover, several interventions to reduce body weight, including dietary interventions as well as bariatric surgery consistently result in lower Firmicutes or increased Bacteroidetes, although there are still conflicting results (Seganfredo et al., 2017). Experience with animal models could bring some light into the association between high Firmicutes/Bacteroidetes ratio and obesity. First experiences with genetically obese (ob/ob) mice unveiled an overrepresentation of Firmicutes and reduction of Bacteroidetes (Ley et al., 2005). In nutritional models of obesity in mice using high fat diets (HFD), increased Firmicutes/Bacteroidetes ratio is a common outcome (Turnbaugh et al., 2008; Hildebrandt et al., 2009; Murphy et al., 2010) but it was suggested that this may be a feature of the diet rather than an obesity marker (Marchesi et al., 2016).
First studies linking NAFLD to dysbiosis reported an increased prevalence of small intestine bacterial overgrowth (SIBO) in NAFLD patients (Miele et al., 2013). Furthermore, it was suggested that dysbiosis in NAFLD may be related to different stages of the disease. In fact, dysbiosis in NASH patients differs from that with simple steatosis or with hepatocellular carcinoma development with a lower Bacteroidetes percentage associated to NASH (Mouzaki et al., 2013). This is in contrast with a later study where non-obese NAFLD patients exhibit lower Firmicutes/Bacteroidetes ratio than healthy controls, though this may be attributed to cofounding effect of body mass index (BMI). Moreover, this study reported a higher prevalence of Gram-negative bacteria and reduced diversity at phylum level in NAFLD patients (Wang et al., 2016).
Interestingly, ongoing down to the species level there is evidence of specific bacteria with potential implication in protection against obesity and NAFLD development. One of them is the mucin degrader, Gram-negative bacteria Akkermansia muciniphila. It was shown that A. muciniphila positively correlates with healthier metabolic status in mice and human studies with overweight and diabetic subjects (Dao et al., 2016; Plovier et al., 2016). On the other hand, some bacteria could be associated with the pathological state. Helicobacter pylori is frequently associated with diverse gastrointestinal disorders. Recent studies have found high prevalence of NAFLD in H. pylori infection positive individuals, suggesting the existence of a correlation between the presence of this bacteria and fatty liver development (Tang and Kumar, 2017).
Mechanisms of DYSBIOSIS-Associated NAFLD
Energy Harvesting From Diet
The role of dysbiosis in obesity is based on the increased capacity of gut microbiota from obese individuals to harvest energy from diet (Zhu et al., 2015). Germ-free mice (GFm)-based studies by Bäckhed et al. (2007) support this hypothesis, with reduced body weight gain in these animals vs. conventional raised mice following a high fat diet. Moreover, colonization of GFm with microbiota from conventional donors leads to a dramatic increase in body fat mass and development of insulin resistance (Bäckhed et al., 2004). Consistently, an interesting experiment with twins discordant for obesity resulted in greater body and fat mass in GFm receiving microbiota of obese twins (Ridaura et al., 2013). The greater efficacy on energy extraction from food has been related to metagenome of the intestine. Thus, microbiota of obese individuals may be enriched in bacterial genes implicated in carbohydrate, lipid and amino-acid metabolism (Turnbaugh et al., 2009). Genes related to cell membrane transport, mucus degradation, and production of toxins also seems to be overrepresented in the obese gut microbiome (Brahe et al., 2016). This leads us to think that not only the microbiome composition but also the microbial genome and its function determine the obesity prone state.
The Gut-Liver Axis and the Immune System
Beyond the role of the microbiome in the onset of obesity, mechanisms linking intestinal microbiota with NAFLD have been extensively studied in recent years (Figure 1). Major contribution of dysbiosis to NAFLD development takes place through the gut-liver axis which indicated the tight anatomical and functional relation between both organs (Vajro et al., 2013). Gut-liver axis involves components of the intestinal epithelium which constitutes the intestinal barrier, a tight monolayer of differentiated cells linked by the apical junctional complex (Catalioto et al., 2011). Compromised barrier function of the intestine, condition known as leaky gut, is another well documented manifestation linked to dysbiosis in NAFLD patients (Miele et al., 2009; Giorgio et al., 2014). Leaky gut allows translocation of potentially harmful bacterial products to the bloodstream, reaching the liver via the portal vein. Dysbiosis and subsequent impaired, barrier function of the intestine leads to the increase of gut derived toxins in systemic circulation constituting metabolic endotoxemia (Cani et al., 2007) which, in turn, contributes to the establishment of the chronic low grade inflammation state observed in obesity and NAFLD (Cani et al., 2012). This inflammatory state is strongly associated with the immune response mediated by the pattern recognition receptors (PRRs), mainly Toll-like receptors (TLRs), and nucleotide-binding and oligomerization domain (NOD)-like receptors (NLRs) in response to damage-associated molecular patterns (DAMPS) and pathogen-associated molecular patterns (PAMPs). TLR2, TLR9, and specially TLR4 have attracted the attention because of its well-known implication in NAFLD pathogenesis (Arrese et al., 2016). TLR4 is the principal sensor for lipopolysaccharide (LPS), the mayor component of the outer membrane of Gram-negative bacteria, and it is expressed in diverse liver cell lineages (hepatocytes and Kupffer and stellate cells). Recognition of LPS by TLR4 triggers of an inflammatory cascade which the last effector is the nuclear receptor kappa B (NF-κB), releasing a wide amount of proinflammatory cytokines. Circulating free fatty acids (FFAs) which are usually increased in NAFLD can also induce TLR4-dependent inflammatory pathway (Ferreira et al., 2015). Among the cytokines released, tumor necrosis factor (TNF)-α and interleukin (IL)-6 stands out for their contribution to insulin resistance development (Buzzetti et al., 2016). Otherwise, NLRs respond to its ligands forming the inflammasome complex. Most inflammasome studied in NAFLD is NLRP3 (NOD-like receptor family, pyrin domain containing 3), whose activation induces the recruitment of the adapter protein ASC and procaspase-1 (Szabo and Petrasek, 2015). Maturation of procaspase-1 by autocatalysis leads to the cleavage of proinflammatory cytokines such as pro-IL-1β or pro-IL-18. NLRP3 expression in the liver is increased in metabolic syndrome and NAFLD patients and its pharmacological blockade attenuates NASH development (Mridha et al., 2017). Intriguing, NLRP3-deficient mice present dysbiosis and this genotype is related to worse NAFLD progression (Henao-Mejia et al., 2012).
Figure 1. Mechanisms linking dysbiosis to NAFLD development. Dysbiotic gut microbiota is related to increased intestinal permeability and delivery of harmful substances (LPS, EtOH) to the liver, inducing inflammatory pathways mediated by PRRs. Inhibition of FIAF by IM promotes expression of lipogenic enzymes. Microbiota can modify bile acid pool in a mechanism associated to insulin resistance and lipogenesis enhancement. Choline metabolism is also affected by imbalanced microbiota, reducing lipid exportation through VLDL. ACC, acetyl-coA carboxylase; ChREBP, carbohydrate-responsive element-binding protein; EtOH, ethanol; FAS, fatty acid synthase; FIAF, fasting-induced adipocyte factor; IL, interleukin; IR, insulin resistance; LPS, lipopolysaccharide; NF-kB, nuclear factor kappa B; NLRP3, NOD-like receptor family, pyrin domain containing 3; SCFAs, short chain fatty acids; SREBP1-c, sterol regulatory element-binding protein 1c; TLR4, toll-like receptor 4; TNF-α, tumor necrosis factor α; VLDL, very low-density lipoprotein.
Gut-liver axis alteration is a good example of immune activation mediated by changes in gut microbiota composition, but crosstalk between microbiota, metabolic state and the immune system is rather more complex. For instance, a microbiota enriched in bacteria within the Cytophaga-Flavobacter-Bacteroides phylum has been related to the differentiation of IL-17-producing T-helper cells (Th17) in a TLR-independent signaling pathway (Ivanov et al., 2008). This mechanism could be relevant in fatty liver disease development as IL-17 is associated to inflammatory response and NAFLD progression (Tang et al., 2011). Moreover, dietary factors strongly determine this kind of response as some lipids in the diet (long chain fatty acids) induce the differentiation of Th17 while SCFAs determines an opposite action by promoting T regulatory cells proliferation (Honda and Littman, 2016; Ma et al., 2018). This points to a multidirectional interplay between microbiota, diet and immune system (Belkaid and Hand, 2014), thereby both atherogenic diet and HFD could induce NAFLD associated features in a mice model, but just the former trigger a systemic activation of the immune system in a mechanism related to different microbial composition between mice receiving each diet (Pindjakova et al., 2017).
Impact on Lipid Metabolism
Lipid metabolism and transport are key processes in the establishing of NAFLD as steatosis arise from a deregulation of fatty acids input and uptake by the liver (Goedeke et al., 2018). Dysbiosis may enhance the steatotic process by the upregulation of enzymes implicated in de novo lipogenesis, mainly acetyl-coA carboxylase 1 (ACC1), and fatty acid synthase (FAS) (Bäckhed et al., 2004; Parnell et al., 2012). It is also remarkable the role of the fasting-induced adipocyte factor (FIAF). Synthesis of FIAF could be inhibited by enteric bacteria, increasing lipoprotein lipase activity and consequently triglyceride storage in the adipose tissue and the liver. Moreover, FIAF downregulation induces lipogenic enzymes expression through carbohydrate-responsive element-binding protein (ChREBP) and sterol regulatory element-binding protein 1c (SREBP-1c) (Leung et al., 2016).
Metabolites Derived From Intestinal Microbiota
Some metabolites produced by gut microorganisms exhibit an antagonist role. On one hand, ethanol derived from alcohol producing bacteria like Escherichia coli may lead to hepatic injury in a similar way to what happens in alcoholic liver disease (Zhu et al., 2013). On the other hand, SCFAs are the main energy source for colonic epithelial cells, thus contributing to maintain intestinal integrity. Therefore, SCFAs supplementation had a positive effect in gastrointestinal diseases (Lu et al., 2016). However, some studies report elevated SCFAs in overweight patients (Schwiertz et al., 2010; Teixeira et al., 2013) pointing out that they are used as energy source increasing adipogenesis. This may be influenced by the specific SCFA; thus propionate can reduce de novo lipogenesis in the liver while acetate can be used as a lipogenic substrate (Tilg et al., 2016). In addition, lower butyrate and butyrate-producing bacteria are often related to metabolic disturbances (Brahe et al., 2013), suggesting that the specific pattern of SCFAs may be crucial for understanding their implication in obesity and NAFLD.
Role of Bile Acids
A paradigmatic example of gut-liver communication is the enterohepatic circulation of bile acids. Apart from emulsification of lipids, bile acids act as signal molecules through the farnesoid X-receptor (FXR) (Wieland et al., 2015). Activation of FXR results in attenuation of lipogenesis and gluconeogenesis in the liver and improved insulin sensitivity. Given that gut microbiota can alter the bile acid pool and signaling properties, this is another interesting mechanism of dysbiosis-induced NAFLD development (Arab et al., 2017). Noteworthy, a gender-specific bile acids production pattern has been associated to FXR-dependent changes in intestinal microbiota in response to a Western diet, thus pointing to a potential causal link to the increased risk of NAFLD development in males (Jena et al., 2017; Sheng et al., 2017).
Finally, choline plays a crucial role in NAFLD. In fact, diets depleted in methionine and choline have been widely used in animal models to induced NASH (Almonacid-Urrego et al., 2012; Guzmán et al., 2013). Similarly, HFD-driven dysbiosis tends to reduce choline bioavailability promoting NASH development (Schnabl and Brenner, 2014). This is because choline is crucial for very low-density lipoprotein assembly and exportation of lipids from the liver. Moreover, microbiota may metabolize choline into toxic methylamines which enhance liver injury. Hence, dysbiosis promotes NAFLD through choline metabolism alteration in a dual way (Aron-Wisnewsky et al., 2013). Again, the relevance of this mechanism could be a gender issue as requirements for choline are lower in premenopausal women, who exhibit reduced risk of fatty liver development when they are subjected to choline deprivation (Fischer et al., 2007).
Taken all together, this evidence demonstrates that the microbiome defines metabolic state in humans, and makes a significant contribution to the establishing of obesity and NAFLD.
Modulation of Intestinal MICROBIOTA
Although gut microbiota is relatively stable in adults, it is still susceptible to change. Environmental factors such as diet, exposure to toxic compounds or antibiotic consumption alter microbiome composition either in a positive or negative way. Therefore, it is possible to promote changes in microbiota composition to resemble a healthier profile.
Due to the critical role of intestinal microbiota in NAFLD development, this approach may be suitable in clinical practice, so we should focus on current strategies that have shown modulatory capacity over dysbiosis and gut-liver axis activation, including substances with probiotic/prebiotic actions, Fecal Microbiota Transplantation (FMT) or physical exercise protocols (Figure 2).
Figure 2. Metabolic effects frequently associated to different microbiome-based therapies for obesity-associated NALFD and relevant changes reported in microbiota composition. SCFAs, short chain fatty acids. The figure was made with use of Smart Servier Medical Art, licensed under a Creative Common Attribution 3.0 Unported License.
The use of live bacteria with potential health benefits for the host when provided in adequate amounts, namely probiotics, is a promising strategy to manage obesity-associated disorders. Bacteria belonging to Lactobacillus, Streptococcus, and Bifidobacterium genera are the most frequently used probiotics due to the growing body of literature supporting their health-promoting effects and because all of these integrate the normal human gut microenvironment (Iacono et al., 2011).
One of the first evidence of probiotics efficacy in the treatment of fatty liver was shown in a study conducted by Li et al. (2003) in which the administration of VSL#3 (a mixture of 8 lactic acid producer strains) to genetically obese mice improved liver histology, counteracted inflammation and showed a reduction of alanine aminotransferase (ALT) plasma levels. Following this experiment, many others have found effectiveness of probiotic treatment with different bacterial strains in animal models. This protective effect of probiotics in NAFLD is not yet fully understood but it has been proposed that antibacterial substance production, epithelial barrier function enhancement, and regulation of the immune system and subsequent intestinal inflammation may be implicated (Iacono et al., 2011).
Due to the nature of probiotics it is assumed that their beneficial effects are partially linked to IM modulation. Recent studies have assessed the modulation of microbiome in response to probiotics administration (Table 1). As mentioned above Lactobacillus species have been widely used in different animal studies despite the fact that some researchers have found an increased relative abundance of Lactobacillus in obese patients (Armougom et al., 2009; Million et al., 2012). Using HFD-fed mice, Kim et al. (2016) reported that probiotic supplementation with Lactobacillus rhamnosus GG can increase Bacteroidetes number, reduces Firmicutes/Bacteroidetes ratio and modulates dysbiosis. These results correlated with hepatic steatosis and dyslipidemic state amelioration, supporting findings of a previous work where Lactobacillus rhamnosus GG improved liver histology, modulating lipid metabolism, enhanced intestinal barrier integrity, and increased small intestine total bacteria concentration in a fructose-based NAFLD model (Ritze et al., 2014). Lactobacillus administration also achieved counteracting effects of a more aggressive model of NAFLD. In this way, Lactobacillus casei strain Shirota reverted reduction of Lactobacillus and Bifidobacterium genera abundance induced in response to a MCD diet while these contributed to diminish endotoxemia, inflammation and NASH development (Okubo et al., 2013). Distinct species may alter microbial composition in a particular way but with concordant results. Thus, L. paracasei CNCMI-4270 and L. rhamnosus CNCM I-3690 were equally capable of attenuating body weight gain, steatosis and insulin resistance but induced strain-specific changes in microbial structure in a HFD model (Wang et al., 2015). Authors also found metabolic syndrome amelioration due to Bifidobacterium animalis subsp. lactis I-2494 administration, concluding that each probiotic bacterial specie influence a particular set of functionally relevant microbial taxa.
It is noteworthy that a low proportion of Bifidobacterium has been observed in human studies associated with obesity and insulin resistance development (Brahe et al., 2016). It has been described in a HFD-based mice model that supplementation with B. pseudocatenulatum CECT7765 reduced hepatic steatosis and counteracted liver and systemic inflammation associated with decreased translocation of LPS to the bloodstream (Moya-Pérez et al., 2015). This effect correlates with partial restoration of intestinal microbiota especially in genera affected by the HFD belonging to the Firmicutes phylum (unclassified Lachnospiraceae, Allobaculum, and unclassified Erysipelotrichacea). Bifidobacterium abundance was restored to control levels in the probiotic treated group while Gram-negative bacteria enhanced by HFD (Escherichia/Shigella and Desulfovibrionaceae) were reduced. In a previous similar study the same strain also induced an increase in Bifidobacterium spp. in HFD-fed animals, while the opposite was true for Enterobacteriaceae (Cano et al., 2013). This shift in microbiota composition was associated with metabolic changes, thereby reducing body weight, fat accumulation in the liver, serum cholesterol, insulin resistance, and inflammatory cytokines.
It is not clear whether combination of probiotics could result in a synergistic effect. Positive results with VSL#3 and other Lactobacillus/Bifidobacterium mixes sustain this hypothesis. For example, intervention with a probiotic mix containing Bifidobacterium infantis, Lactobacillus acidophilus, and Bacillus cereus was capable of counteracting HFD-induced dysbiosis and related gut-liver axis activation along with the improvement of liver histology and inflammation. Bacteroides, bifidobacteria and Lactobacillus increased in the probiotic treated group, while E. coli and Enterococcus showed an opposite trend (Xue et al., 2017). Furthermore, kefir, a beverage containing up to 50 species of lactic bacteria, acetic acid bacteria and yeast improved obesity and steatosis in HFD-fed mice (Kim et al., 2017) by changing the intestinal microbiota. Thus, Firmicutes/Bacteroidetes ratio reduced in mice receiving kefir. Moreover, kefir administration increased the relative abundance of Lactobacillus/Lactoccocus as well as total yeast population, mainly Candida. The latter suggest that not only bacteria but also some yeast species may have probiotic effects. In this way, Saccharomyces boulardii reduced body weight, fat mass, inflammation and steatosis in obese diabetic (db/db) mice (Everard et al., 2014b). Metagenomic analysis of the cecal content of db/db mice revealed a notable increase in Bacteroidetes and a reduced proportion of Firmicutes, Proteobacteria and Tenericutes. Some genera associated to obesity and diabetes such as Odoribacter, Ruminococcus, and Prevotella were also negatively affected, while others identified as beneficial like Bacteroides were increased.
In conclusion, therapeutic potential of probiotics has been extensively proved in animal models. HFD-based nutritional murine models remain the standard to evaluate the effect of probiotic over metabolic disturbances and hepatic steatosis. At the microbiome level, probiotics tends to induce changes in microbial composition toward a profile that is considered as beneficial, i.e., reduced Firmicutes to Bacteroidetes ratio or increased abundance of Bifidobacterium genus.
Some human studies have been carried out using probiotics in the management of NAFLD (Table 2). Despite promising clinical results, lack of microbiome based studies is the major weakness of these studies. Common outcomes of probiotics interventions include serum aminotransferases levels decrease and serum or liver lipid content lowering effects (Aller et al., 2011; Wong et al., 2013; Nabavi et al., 2014; Famouri et al., 2016). Some studies also found improvements in inflammatory markers. Anti-obesogenic effect of probiotics in humans is not yet fully accepted. Several groups found lower BMI in patients treated with probiotics (Alisi et al., 2014; Nabavi et al., 2014), others did not find significant changes. In this sense, results from the meta-analysis by Loman et al. (2018) confirmed that probiotic administration effectively reduces BMI and hepatic enzymes (ALT, AST, γ-GT), but their effect on lipid profile improvement did not reach significance. In addition, Sepideh et al. (2016) reported lower insulin and reduced HOMA-IR in the intervention group, constituted by NAFLD patients consuming two capsules a day of a probiotic mixture, supporting evidences from studies with diabetic patients (Yao et al., 2017).
Prebiotics are defined as compounds that beneficially affect the health of the host by selectively stimulating the growth and/or activity of a limited number of bacteria (Everard et al., 2011). Many of the substances that respond to the prebiotic concept are nondigestible carbohydrates which provide a source of energy for commensal bacteria and are resistant to digestive enzymes reaching the distal gastrointestinal tract (Ojo et al., 2016). Within them, the most recognized are inulin-type fructans (inulin, oligofructose and fructooligosaccharides) and galactans (galacto-oligosaccharides) (Wilson and Whelan, 2017), although many others are under investigation, including lactulose, cellulose, resistant starches, hemicelluloses, gums, and pectins.
Prebiotic administration has shown a variety of actions concerning metabolic function in different studies. Reduced weight gain was found in several studies, in diet induced (Bomhof et al., 2014; Kumar et al., 2016; Steensels et al., 2017), in genetically obese rodents (Daubioul et al., 2000) and in overweight or obese humans (Parnell and Reimer, 2009) supplemented with prebiotic fiber. Alteration to appetite hormones release may be responsible for this anti-obesogenic effect (Cani et al., 2004; Hira et al., 2018). However, a meta-analysis of 26 human studies did not find any significant association between prebiotic consumption and body weight reduction (Kellow et al., 2014). Nevertheless, in some animal studies reduction of fat mass was achieved without significant body weight changes (Roberfroid et al., 2010). Treatments with prebiotics are frequently associated to fasting glycemia, glucose tolerance and insulin sensitivity improvement (Everard et al., 2011; Pachikian et al., 2013; Chan et al., 2016). Focusing on liver functionality, prebiotics have shown its capacity to modulate lipid metabolism. In this way, prebiotics are able to reduce plasma triglyceride levels (Correia-Sá et al., 2013) or limit its accumulation in the liver, preventing steatosis and liver injury in different animal models (Daubioul et al., 2002; Sugatani et al., 2006, 2012). Furthermore, improvement of insulin resistance, reduction in blood and hepatic triglycerides and prevention of steatosis have also been described for plant extracts enriched in fructans like Jerusalem artichoke in rats under a high fructose diet (Chang et al., 2014).
Prebiotic treatment has shown the ability to counteract inflammation. This effect may be related to the attenuation of serum LPS increase that occurs following dysbiosis (Cani et al., 2009; Neyrinck et al., 2012). LPS concentration reduction may be reached by the improved expression and activity of tight junction proteins like zonula occluden-1 (ZO-1) and occludin, preventing endotoxins translocation to the bloodstream (Delzenne et al., 2011). Furthermore, enhanced gut hormones release and endocannabinoid system blockade (Cani et al., 2009; Muccioli et al., 2010) are described mechanism exerted by prebiotics to promote gut barrier functionality, contributing to ameliorate inflammation and insulin resistance.
In line with the significant contribution of SCFAs to maintain intestinal health, a SCFAs production enhancement effect was described for some prebiotics, with special attention to butyrate (Everard et al., 2014a; Tochio et al., 2016). A synergistic action between butyrogenic species and acetate producers including species of Bifidobacterium genus in presence of oligofructose has also been documented (Falony et al., 2006). This is in accordance with repeatedly reported increase in Bifidobacterium spp. during fructooligosaccharides (FOS) supplementation (Cani et al., 2009; Meyer and Stasse-Wolthuis, 2009; Mao et al., 2015; Wang et al., 2017a). Other changes in microbial composition at phylum and genus levels were found in animal models of obesity after prebiotic consumption. Hence, 10 weeks of inulin/oligofructose (1:1) supplementation reversed the increase of Firmicutes and the reduction of Bacteroidetes observed in genetically obese rats, while at genus level leads to a dose-dependent increase in Lactobacillus and Bifidobacterium (Parnell and Reimer, 2012).
With regard to NAFLD, only a few studies have analyzed the effect of treatment with prebiotics or prebiotic-like compounds on gut microbiome and its impact in liver disease (Table 3). Beyond hepatic lipid content reduction, heterogeneity of models and substances used does not allow general conclusions. High fiber diet (Saha and Reimer, 2014), enzyme treated wheat bran (Kieffer et al., 2016), pectin (Fåk et al., 2015), and guar gum (Fåk et al., 2015; Janssen et al., 2017) interventions achieved body weight reduction, but no effect on obesity was found in the other treatments. In the study by Janssen et al. (2017) guar gum supplementation of a high fat/high cholesterol/high fructose also improved glucose tolerance and increased SCFAs production after 18 weeks of treatment. However, a surprising pro-inflammatory and pro-fibrotic effect were found in treated mice. At the microbiome level, three studies reported an increase in Bacteroidetes in line with the tend to lower Firmicutes/Bacteroidetes ratio in healthy subjects. As mentioned before, a bloom in Bifidobacterium is frequently associated to prebiotic supplementation; indeed high prebiotic fiber diet, guar gum, and FOS achieved this bifidogenic effect (Neyrinck et al., 2012; Pachikian et al., 2013; Saha and Reimer, 2014; Janssen et al., 2017). Other changes in microbiome composition were described in single studies and further investigation is needed to validate and interpret these findings.
A study by Matsumoto et al. (2017) in MCD-fed mice included insights from gut-liver axis preservation by FOS. FOS supplementation to MCD increased acetate and propionate and restored butyrate to control levels. Moreover, FOS contributed to preserve ZO-1 location in tight junctions, increased IgA secretion, and downregulated TLR4 expression in the liver. In agreement, Fåk et al. (2015) reported increased SCFAs production in HFD-fed rats as a result of guar gum and pectin administration, and found a specific profile for each compound and physicochemical state of the preparations. Moreover, physicochemical state of the compounds also differently affected microbiota composition and fat metabolism, pointing medium viscosity guar gum as the most effective preparation to prevent fat deposition in the liver in a mechanism associated to its bifidogenic effect and butyrate production capacity.
There are several studies which have tested the effects of prebiotics in obese and metabolic syndrome patients and performed metagenomic analysis. In a recent research with overweight children, oligofructose-enriched inulin administration significantly increased Bifidobacterium spp. and decreased Bacteroides vulgatus (Nicolucci et al., 2017). Microbiota composition modification was accompanied by reduced body weight gain and body fat along with attenuated IL-6 and triglyceride serum levels. Two studies in obese women subjected to inulin-type fructans administration showed concordant results in microbiome analysis pointing to increased representation of Bifidobacterium after the treatment (Dewulf et al., 2013; Salazar et al., 2015). Interestingly, in the study by Dewulf et al. (2013) changes induced by inulin-type fructans in Bifidobacterium and in Faecalibacterium prausnitzii negatively correlated with levels of LPS. The study by Salazar et al. (2015) went down to the species level and found that B. adolescentis, B. longum and B. pseudocatenulatum are the most affected Bifidobacterium species after prebiotic administration. Finally, a clinical trial in obese prediabetic individuals with galacto-oligosaccharides (GOS) corroborated the bifidogenic effect of prebiotics in obese humans (Canfora et al., 2017). However, no metabolic effects were reported. This is in conflict with a previous similar work where authors described reduced inflammatory markers, insulin resistance, total cholesterol and triglycerides linked to Bifidobacterium increase (Vulevic et al., 2013). Different dosage (15 g/day vs. 5.5 g/day) and study population (obese prediabetic vs. overweight and metabolic syndrome susceptible individuals) could be responsible for these contrasting results.
Evidence from human studies with prebiotics involving NAFLD patients is scarce. In a pilot study with NASH patients oligofructose administration (16 g daily for 8 weeks) achieved a reduction of AST levels and showed a tendency to lower ALT and triglycerides (Daubioul et al., 2005). However, lack of histological evaluation and microbiome-based analysis limits the conclusions of this study. A recent clinical trial with the same dosage of oligofructose for 24 weeks provides the first reports of histological improvement and changes in microbial composition in response to a prebiotic compound in NASH patients (Bomhof et al., 2018). Despite the small sample size, a significant reduction of steatosis and NAFLD activity score (NAS) were found in the prebiotic-treated group vs. placebo. Moreover, prebiotic administration resulted in increased Bifidobacterium and reduced Clostridium cluster XI relative abundance.
In addition, several clinical trials with synbiotics corroborated results obtained with prebiotics and probiotics administration alone (Malaguarnera et al., 2012; Ferolla et al., 2016; Mofidi et al., 2017). In the research conducted by Malaguarnera et al. (2012) the combination of Bifidobacterium longum and FOS with lifestyle modification exceeded benefits of lifestyle modification alone. Both treatments reduced NASH index, HOMA-IR, total cholesterol, LDL cholesterol, triglycerides, TNF-α, AST, and ALT serum levels. Moreover, supplementation with the synbiotic gave better results for HOMA-IR, LDL cholesterol, CRP, TNF-α, and AST. This greater efficacy of the synbiotic was associated with diminished serum endotoxin levels in this group. Moreover, Ferolla et al. (2016) also reported reduction of BMI and steatosis grade after inulin and guar gum intervention, despite the fact that there were no effects on SIBO or intestinal permeability.
Among the strategies to modulate intestinal microbiota, the administration of probiotics and prebiotics is the most developed so far, however there is still a lack in studies into humans. Ongoing clinical trials involving probiotics, prebiotics and synbiotics in NAFLD (Cho et al., 2018) could bring more light into this spot to make the step from basic research to clinical practice.
Vegetables polyphenols are known for their well described antioxidant and anti-inflammatory properties (González-Gallego et al., 2010). Polyphenols are classified according to their chemical structure in non-flavonoids, represented by stilbenes and phenolic acids, and flavonoids which constitutes a heterogeneous subgroup of compounds with a common C skeleton. Flavonoids are subsequently classified in flavanones, flavones, dihydroflavonols, flavonols, flavan-3-ols or flavanols, anthocyanidins, isoflavones, and proanthocyanidins.
Polyphenols are widely investigated both in in vivo and in vitro assays against different pathologies. Many of them have shown their capacity to counteract different features of metabolic diseases, including lipid metabolism alteration, insulin resistance, inflammation, and oxidative stress development (Pisonero-Vaquero et al., 2015b; Van De Wier et al., 2017). Furthermore, they are not completely digested in the gastrointestinal tract and suffer transformations by colonic microbiota when they reach large intestine, thus being considered prebiotic molecules (Gil-Cardoso et al., 2016). Moreover, the toxicity of the phenolic group gives them antibacterial activity and many of them may inhibit biofilm formation, pointing to another mechanism to influence microbiota composition (Espín et al., 2017). In addition, phenolic compounds metabolism into a large amount of low molecular weight bioactive metabolites and their dissemination in the organism make them capable of exerting vast effects in different organs including the intestine and the liver (Cardona et al., 2013).
Due to the contribution of inflammation and oxidative stress on its pathogenesis, besides the starring role of IM, NAFLD becomes a perfect target for polyphenol-based therapies. A large number of polyphenols as well as plant and fruits whole extracts with high polyphenol content have been tested with promising results. Quercetin, flavonoids from green tea, soy isoflavones, and rutin are the most studied flavonoids in NAFLD, along with silymarin, a mixture of flavonoids from Sylbum marianum whose major component is the flavonoid silybin (Pisonero-Vaquero et al., 2015a). Resveratrol is the most investigated polyphenol within stilbenes (Aguirre et al., 2014). Many of these studies were carried out in animal models but just the most recent include microbiome analysis to prove the prebiotic capacity of these compounds (Table 4). In addition, whole extract of grapes and different berries rich in polyphenols are effective in reshaping the microbiota of HFD-fed mice (Anhê et al., 2015; Baldwin et al., 2016; Heyman-Lindén et al., 2016).
In this way, supplementation of HFD or high fat/high sugar (HFHS) diet with polyphenols tends to lower the Firmicutes/Bacteroidetes ratio in rodent models, counteracting the effect of the diet (Etxeberria et al., 2015; Masumoto et al., 2016; Cheng et al., 2017; Guo et al., 2017; Porras et al., 2017). Furthermore, some bacterial genera and species seem to be more frequently influenced by these compounds. It is remarkable the frequent association of polyphenol administration with Akkermansia genus and A. muciniphila abundance (Anhê et al., 2015; Etxeberria et al., 2015; Roopchand et al., 2015; Baldwin et al., 2016; Heyman-Lindén et al., 2016; Masumoto et al., 2016; Porras et al., 2017). Considering that Akkermansia has a strong correlation with a healthy metabolic status, this observation enforces the protective role of polyphenols against NAFLD through gut microbiota modulation. The possible mechanism linking Akkermansia and metabolic effects of polyphenols is the maintenance of gut barrier integrity. Akkermansia is capable of preserving mucus layer preventing gut-liver axis disruption and endotoxemia (Gil-Cardoso et al., 2016). Thus, proteins involved in intestinal integrity maintenance are commonly modified by polyphenol treatments. Trans-resveratrol alone or in combination with quercetin significantly increased the expression of TJP (tight junction protein) 2 and occludin in HFD-fed mice (Etxeberria et al., 2015). This up-regulation effect was also found for TJP1 and occludin following the administration of procyanidins (Masumoto et al., 2016) or curcumin (Feng et al., 2017), and for claudin-1 and occludin after a quercetin treatment (Porras et al., 2017). Quercetin also tends to stimulate SCFAs production in in vivo models of metabolic syndrome and NAFLD (Etxeberria et al., 2015; Porras et al., 2017). SCFAs, especially butyrate, could be mediators of the polyphenol contribution to intestinal integrity. It is noteworthy that several butyrate-producing bacteria like Faecalibacterium and Roseburia are overrepresented in the microbiota of polyphenol-treated mice (Heyman-Lindén et al., 2016; Masumoto et al., 2016; Cheng et al., 2017; Guo et al., 2017; Liu et al., 2017; Van Hul et al., 2017).
In addition, beneficial effects of polyphenols can be attributed to inhibition of potentially harmful bacteria. As mentioned before, Helicobacter pylori has been related to NAFLD. There are studies reporting a decline in Helicobacter genus or H. pylori using flavonoids (Feng et al., 2017; Porras et al., 2017), flavonoid rich extracts (Chua et al., 2016; Asha et al., 2017), and another natural compounds (Zulueta et al., 2015).
Metabolic effects of polyphenols against NAFLD can be confirmed by human studies. Unfortunately, metagenomics analyses are lacking, except for a research that addressed the potential therapeutic use of red wine polyphenols in metabolic syndrome patients. In this clinical trial, 30 days of red wine or dealcoholized red wine were associated with increased detection of Fusobacteria and Bacteroidetes and reduced proportion of Firmicutes in fecal samples. Within Firmicutes, Clostridium was reduced while Blautia coccoides, Eubacterium rectale, Faecalibacterium prausnitzii, Roseburia, and Lactobacillus were increased after the treatment. With regard to Bacteroidetes, Prevotella detection was enhanced and Bacteroides diminished. Moreover, higher Bifidobacterium levels were found in the treated group along with a normalization of Escherichia coli representation (Moreno-Indias et al., 2016).
Fecal Microbiota Transplantation
Fecal microbiota transplantation (FMT) was used as a therapy for the first time in present-day medicine in 1958 in order to treat pseudomembranous colitis due to Clostridium difficile infection (CDI) (Eiseman et al., 1958). Since then FMT has been widely used in CDI and it is now accepted as a successful treatment for recurrent CDI when antibiotic treatment fails. Moreover, after conflicting results (Moayyedi et al., 2015; Rossen et al., 2015), a recent study has shown clinical improvement following intensive-dosing multidonor FMT in patients with intestinal bowel disease (IBD) (Paramsothy et al., 2017) which, at least in part, involves dysbiosis as a pathogenic mechanism (Matsuoka and Kanai, 2015). Patients undergoing a FMT display a shift in microbiota composition characterized by an increase in microbial diversity due to the colonization of foreign bacteria, ideally with better metabolic functionality (Cohen and Maharshak, 2017).
Intestinal microbiota involvement in other pathologies points to FMT as an alternative treatment for a wide range of diseases, including extraintestinal pathologies. Metabolic disorders are possible future targets of FMT (de Groot et al., 2017). However, lack of clinical studies limits the evidence that support efficacy of this approach in obesity and associated metabolic syndrome. Just a short study in humans proved that transplantation of fecal microbiota from lean donors to metabolic syndrome patients resulted in the amelioration of insulin resistance which was related to increased butyrate-producing bacteria (Vrieze et al., 2012). However, a recent case report of a woman who quickly developed obesity after receiving FMT from an overweight donor (Alang and Kelly, 2015) suggests that the opposite is also possible.
Fortunately, studies with animal models provide useful information to determine FMT possibilities in metabolic diseases. For example, FMT from control diet-fed counterparts administered orally every third day for 8 weeks attenuates diet induced metabolic syndrome in Sprague-Dawley rats fed a high fructose diet (Di Luccia et al., 2015). Despite the fact that there is no effective measures against obesity, this treatment succeeded to ameliorate oxidative damage in the liver and skeletal muscle as well as systemic inflammation in a mechanism that involve reduction of plasma LPS. The improvement in metabolic condition was associated to lower representation of Coprococcus and Ruminococcus genera in the treatment group. Using a different approach, Rabot et al. (2016) did not find any effects in the onset of obesity in HFD-fed GFm after a single transplantation of feces from responder (R) and non-responder (NR) to the diet donors. They only reported a slightly improvement in glucose tolerance for NR receiver mice associated to a higher detection of Bacteroidetes in this group. Despite the fact that there is very different etiology, NAFLD shares some mechanism with alcohol liver disease (ALD), including the presence of dysbiosis. A recent study has shown that FMT prevents alcohol induced liver injury along with modulation of the IM (Ferrere et al., 2016). Feces from ethanol-resistant mice were administered to sensitive mice three times a week, reaching an amelioration of hepatic lesions. Microbiota from treated mice replicated that of resistant mice and both shared potentially beneficial genera of the Bacteroidaceae family: Bacteroides, Parabacteroides, Prevotella, and S24-7. Some studies have assessed the possibility to transfer metabolic improvement achieved after a prebiotic or polyphenol treatments trough FMT. Sung et al. (2017) found an improvement in glucose homeostasis and reduced fat mass in HFHS fed mice linked to changes in IM composition after 8 weeks of resveratrol supplementation. Feces collected from resveratrol treated mice were administered to another cohort of mice in three FMT experiments. Mice fed with the HFHS diet receiving FMT from resveratrol-treated mice showed improved glucose homeostasis in comparison with mice receiving feces from control mice and alterations of IM that resemble the profile observed in the donor group.
With regard to NAFLD, a study by Le Roy et al. (2013), in which microbiota from HFD-fed donors selected according to glycemia, inflammation and steatosis was transplanted to GFm, showed that the onset of obesity in response to a HFD in C57BL/6J mice is independent of the microbiota, in the same way as the experiment conducted by Rabot et al. (2016). However, they found lower fasting glycemia, HOMA index and NAFLD activity score (NAS) in the receiver of the NR microbiota. On the other hand, responder phenotype was associated with hepatic enzymes alteration and lipid metabolism disruption with increased de novo lipogenesis. This experiment demonstrated not only that intestinal microbiota is strongly associated with metabolic status and NAFLD, but also that NAFLD is a transmissible condition through intestinal microbiota transplantation. Recently, Zhou et al. (2017) carried out the first study of FMT in a diet-induced NASH model. Specific pathogen free (SPF) C57BL/6 mice were fed with a HFD for 16 weeks and given fresh feces from the control group daily for the latter 8 weeks. The transplantation resulted in reduced body weight, fat deposition, liver index and transaminase serum levels. FMT also restored intestinal integrity through recovering tight junction protein ZO-1 expression. This action over the intestine was related to increased butyrate production in the cecum and alleviation in endotoxemia. At hepatic level FMT clearly attenuated hepatic steatosis, lobular inflammation, and hepatocyte ballooning. Nevertheless, microbiota analysis showed opposite results to previous studies with HFD mice, reporting increased Bacteroidetes and reduced Firmicutes in the HFD group. Consistently, FMT treated mice display a shift toward the opposite, reducing Bacteroidetes to Firmicutes ratio. These authors also remarked the positive role of Christensenellaceae and Lactobacillus genera in metabolic disturbance prevention by FMT.
These results show the feasibility of FMT in the treatment of NAFLD. However, several issues on the procedure remain unanswered, such as parameters for donor selection, processing of feces, the use of single or multiple infusions or the usage of antibiotics previous to the transplant. Development of a non-invasive technique as the encapsulation of the donor microbiota to allow oral administration could spread this kind of treatment to a general audience (Delaune et al., 2018).
Lifestyle modifications are one of the traditional treatments in obesity related diseases. In NAFLD patients lifestyle change following dietary recommendations and more active behavior was associated with a moderate reduction of body weight, about 7–10%, which improved hepatic histology, decreasing NAS and its components (Vilar-Gomez et al., 2015). Apart from dietary interventions, physical exercise interventions are a valid way to reach weight loss. In human studies, physical exercise has demonstrated its ability to reduce cardiovascular events, improving metabolic state and counteracting many other features associated with obesity. With regard to liver disease, physical exercise is capable of modulating hepatic steatosis, improve insulin sensitivity or affect body composition independently of weight loss (Houghton et al., 2016). These changes are attributed to reduced expression of lipogenic enzymes, enhanced muscle fatty acids uptake, modulation of adipokines or attenuation of oxidative stress in the liver after exercise training (Ordonez et al., 2015).
Only few studies have considered that the effect of exercise on the metabolic state may be at least partially driven by intestinal microbiota modulation and no relation to NAFLD has been yet established. Modifications in intestinal microbiota have been found in rodent models under exercise protocols. Both voluntary wheel running (Matsumoto et al., 2008; Queipo-Ortuño et al., 2013) and forced running on a treadmill (Petriz et al., 2014) are effective in inducing changes in healthy animals. However these different approaches may differentially affect microbiome composition (Allen et al., 2015). In addition, development stage may influence plasticity of gut microbiota to changes induced by exercise. Thus, juvenile rats undergo larger modifications than adult individuals toward a leanness microbiota as evidenced by the increase in Bacteroidetes to Firmicutes ratio after 6 weeks of voluntary wheel running (Mika et al., 2015).
With regard to metabolic syndrome, Evans et al. (2014) provided evidences that 6 weeks of voluntary exercise may lead to a shift in microbiota composition along with weight gain prevention and improved insulin tolerance in mice fed with HFD. Supporting findings with probiotic/prebiotic administration, exercise tends to reduce Firmicutes/Bacteroidetes ratio as well as increase bacterial richness under HFD conditions. An analogous experiment by Campbell et al. (2016) confirms effects of voluntary exercise in HFD-fed mice on body weight gain along with increased insulin sensitivity, modulation of inflammatory state and enhanced secretion of satiety hormones. At the microbiome level, greater detection of F. prausnitzii in both lean and obese exercised groups as well as enrichment in Allobaculum and Clostridium genera are the most remarkable outcomes in this study. Furthermore, a forced running training protocol in genetically obese and hypertensive rats resulted in profound microbiota modification (Petriz et al., 2014). In this study, analysis of fecal samples showed an enhancement of bacterial diversity after training protocol. In contrast, these authors found increased relative abundance of Firmicutes with exercise in the three experimental groups (obese, hypertensive, and lean rats). At genus and specie levels Lactobacillus was increased in obese rats after exercise and six species (Streptococcus alactolyticus, Bifidobacterium animalis, Ruminococcus gnavus, Aggregatibacter pnemotropica, and Bifidobacterium pseudolongum) were more abundant in this group more than the others. The study into hypertensive condition is also relevant being hypertension a manifestation associated with NAFLD. Hypertensive rats displayed a particular microbiota and it was also susceptible to be modified by exercise, exhibiting greater Allobaculum and less Aggregatibacter and Sutterella after training. Finally, in a study with genetically diabetic and non-diabetic mice, forced running 5 days a week for 6 weeks correlated with lower Bacteroides/Prevotella spp. and Methanobrevibacter spp. (Lambert et al., 2015). Interestingly, exercise increased Bifidobacterium spp. in control mice but an opposite trend was found in diabetics, suggesting that previous metabolic state of the host influence the modulatory effect of the exercise protocol.
Welly et al. (2016) compared effects of exercise vs. caloric restriction in obesity-prone HFD-fed rats. Briefly, one group performed voluntary running while other remains as a weight-matched sedentary control by limiting the availability of food to mimic the weight loss achieved by exercise. They found that exercise exceeded benefits of weight loss alone, confirming that exercise effects against metabolic disturbances are independent of weight loss. Both treatments reduced adiposity, ameliorated inflammation and improved lipid profile but only exercise increased insulin sensitivity and achieved greater LDL reduction. These changes were related to microbiome modifications by exercise manifested by reduced relative abundance of two undefined genera in the S24-7 and Rikenellaceae families and increased that of Streptococcaceae family in the exercised rats. Interestingly, the undefined genera of the Rikenellaceae family were positively correlated with liver triglycerides.
High intensity interval training (HIIT) seems to have similar or even greater metabolic effects than continuous aerobic training in diet-induced obese mice (Wang et al., 2017b) and in obese subjects (Wewege et al., 2017). Likewise, these effects can be related to changes in microbiota composition. According to Denou et al. (2016) in HFD-fed mice 6 weeks of HIIT performed 3 days per week induced shifts in the microbiota opposite to that promoted by diet, increasing Bacteroidetes as well as diversity within this phylum including a positive effect on Bacteroidales order and lowering Firmicutes in the distal gut. These changes correlated with improved insulin tolerance; however, authors did not find reduced body or fat mass in trained HFD-fed mice.
The impact of exercise on gut microbiota has also been shown in several human studies which identify a particular microbiota associated to individuals with divergent degrees of physical activity. Different microbiota composition was found between professional athletes and healthy controls, showing higher bacterial richness in athletes vs. controls (Clarke et al., 2014; Barton et al., 2017). Surprisingly, athletes present lower Bacteroidetes and greater Firmicutes. Akkermansia muciniphila increased both in athletes and in low BMI controls. Moreover, microbiota of active lifestyle women differs from those with a more sedentary pattern, with enhanced detection in the former of potentially beneficial bacteria like Bifidobacterium spp., Roseburia hominis, A. muciniphila, and F. prausnitzii (Bressa et al., 2017).
In order to address the relationship between exercise-induced changes in microbiota and metabolic effects in the host, exercise impact on gut barrier should be considered. Several studies include evaluation of intestinal tissue after exercise in animal models. Exercise exerts protective effect on intestine epithelium counteracting the morphological changes associated to HFD and reducing inflammation (Campbell et al., 2016). This effect is sometimes attributed to alterations in gut motility by exercise that reduces intestinal transit time, but evidences are inconsistent. SCFAs also contribute to maintain intestinal health and their production was found to be significantly higher in professional athletes (Barton et al., 2017). In the experiment by Matsumoto et al. (2008) who described an increase in cecal n-butyrate concentration associated to the presence of two butyrate-producing bacterial species in the exercised group. The latter was also reported for Evans et al. (2014) who found that exercise significantly increased Bacteroidales S24-7, as well as butyrate-producing Firmicutes families Clostridiaceae, Lachnospiraceae, and Ruminococcaceae. Finally, intestinal health promoting bacteria like A. muciniphila are associated to exercise and active lifestyle in humans (Clarke et al., 2014; Bressa et al., 2017).
Intestinal microbiota dysbiosis and related gut-liver axis activation are now accepted as a critical process in NAFLD development. Due to the absence of a gold standard treatment for fatty liver disease, development of novel therapeutic strategies is a priority to manage NAFLD patients. Different approaches have been made to modulate intestinal microbiota: pre/probiotics administration, FMT, and lifestyle modification including physical exercise interventions. All of these strategies lead to NAFLD and associated metabolic disturbances remission in in vivo models, but evidence from clinical trials is scarce. Moreover, only the most recent animal studies have carried out microbiome analysis to show that the results are linked to IM modulation. Furthermore, the findings obtained from these experiments need to be taken skeptically, due to the conflicting results. For this reason, it is too early to ensure the effectiveness of any of these methods. It is important to remark that different strategies are not mutually exclusive and maybe a synergistic combination of them could make the difference. In conclusion, intestinal microbiota modulation emerges as a potential therapeutic option for obesity-associated NAFLD. However, its application in clinical practice requires further investigation due to the lack in studies into humans.
DP wrote the manuscript. DP, EN, SM-F, JG-G, MG-M, and SS-C discussed the literature and figures, contributed to the intellectual input, and edited the manuscript. All authors read and approved the final version.
This work was supported by grants to JG-G and SS-C from Ministerio de Economía y Competitividad/FEDER (BFU2017-87960-R) and Junta de Castilla y León (LE063U16 and GRS 1888/A/18). DP was supported by a fellowship from Junta de Castilla y León co-financed by the European Social Fund. EN was supported by Fundación de Investigación Sanitaria of León. MG-M was supported by CIBERehd contracts. CIBERehd is funded by the Instituto de Salud Carlos III, Spain.
Conflict of Interest Statement
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.
Aguirre, L., Portillo, M. P., Hijona, E., and Bujanda, L. (2014). Effects of resveratrol and other polyphenols in hepatic steatosis. World J. Gastroenterol. 20, 7366–7380. doi: 10.3748/wjg.v20.i23.7366
Alisi, A., Bedogni, G., Baviera, G., Giorgio, V., Porro, E., Paris, C., et al. (2014). Randomised clinical trial: the beneficial effects of VSL#3 in obese children with non-alcoholic steatohepatitis. Aliment. Pharmacol. Ther. 39, 1276–1285. doi: 10.1111/apt.12758
Allen, J. M., Berg Miller, M. E., Pence, B. D., Whitlock, K., Nehra, V., Gaskins, H. R., et al. (2015). Voluntary and forced exercise differentially alters the gut microbiome in C57BL/6J mice. J. Appl. Physiol. 118, 1059–1066. doi: 10.1152/japplphysiol.01077.2014
Aller, R., De Luis, D. A., Izaola, O., Conde, R., Gonzalez Sagrado, M., Primo, D., et al. (2011). Effect of a probiotic on liver aminotransferases in nonalcoholic fatty liver disease patients: a double blind randomized clinical trial. Eur. Rev. Med. Pharmacol. Sci. 15, 1090–1095.
Almonacid-Urrego, C. C., Sánchez-Campos, S., Tuñón, M. J., and González-Gallego, J. (2012). Non-alcoholic steatohepatitis: what can we learn from animal models? Curr. Med. Chem. 19, 1389–1404. doi: 10.2174/092986712799462586
Anhê, F. F., Roy, D., Pilon, G., Dudonné, S., Matamoros, S., Varin, T. V., et al. (2015). A polyphenol-rich cranberry extract protects from diet-induced obesity, insulin resistance and intestinal inflammation in association with increased Akkermansia spp. population in the gut microbiota of mice. Gut 64, 872–883. doi: 10.1136/gutjnl-2014-307142
Arab, J. P., Karpen, S. J., Dawson, P. A., Arrese, M., and Trauner, M. (2017). Bile acids and nonalcoholic fatty liver disease: Molecular insights and therapeutic perspectives. Hepatology 65, 350–362. doi: 10.1002/hep.28709
Armougom, F., Henry, M., Vialettes, B., Raccah, D., and Raoult, D. (2009). Monitoring bacterial community of human gut microbiota reveals an increase in Lactobacillus in obese patients and methanogens in anorexic patients. PLoS ONE 4:e7125. doi: 10.1371/journal.pone.0007125
Aron-Wisnewsky, J., Gaborit, B., Dutour, A., and Clement, K. (2013). Gut microbiota and non-alcoholic fatty liver disease: new insights. Clin. Microbiol. Infect. 19, 338–348. doi: 10.1111/1469-0691.12140
Asha, M. K., Debraj, D., Dethe, S., Bhaskar, A., Muruganantham, N., and Deepak, M. (2017). Effect of flavonoid-rich extract of Glycyrrhiza glabra on gut-friendly microorganisms, commercial probiotic preparations, and digestive enzymes. J. Diet. Suppl. 14, 323–333. doi: 10.1080/19390211.2016.1223257
Bäckhed, F., Ding, H., Wang, T., Hooper, L. V., Koh, G. Y., Nagy, A., et al. (2004). The gut microbiota as an environmental factor that regulates fat storage. Proc. Natl. Acad. Sci. U.S.A. 101, 15718–15723. doi: 10.1073/pnas.0407076101
Bäckhed, F., Manchester, J. K., Semenkovich, C. F., and Gordon, J. I. (2007). Mechanisms underlying the resistance to diet-induced obesity in germ-free mice. Proc. Natl. Acad. Sci. 104, 979–984. doi: 10.1073/pnas.0605374104
Baldwin, J., Collins, B., Wolf, P. G., Martinez, K., Shen, W., Chuang, C. C., et al. (2016). Table grape consumption reduces adiposity and markers of hepatic lipogenesis and alters gut microbiota in butter fat-fed mice. J. Nutr. Biochem. 27, 123–135. doi: 10.1016/j.jnutbio.2015.08.027
Barton, W., Penney, N. C., Cronin, O., Garcia-Perez, I., Molloy, M. G., Holmes, E., et al. (2017). The microbiome of professional athletes differs from that of more sedentary subjects in composition and particularly at the functional metabolic level. Gut 67, 625–633. doi: 10.1136/gutjnl-2016-313627
Bomhof, M. R., Parnell, J. A., Ramay, H. R., Crotty, P., Rioux, K. P., Probert, C. S., et al. (2018). Histological improvement of non-alcoholic steatohepatitis with a prebiotic: a pilot clinical trial. Eur. J. Nutr. doi: 10.1007/s00394-018-1721-2. [Epub ahead of print].
Bomhof, M. R., Saha, D. C., Reid, D. T., Paul, H. A., and Reimer, R. A. (2014). Combined effects of oligofructose and Bifidobacterium animalis on gut microbiota and glycemia in obese rats. Obesity 22, 763–771. doi: 10.1002/oby.20632
Brahe, L. K., Astrup, A., and Larsen, L. H. (2016). Can we prevent obesity-related metabolic diseases by dietary modulation of the gut microbiota? Adv. Nutr. An Int. Rev. J. 7, 90–101. doi: 10.3945/an.115.010587
Bressa, C., Bailén-Andrino, M., Pérez-Santiago, J., González-Soltero, R., Pérez, M., Montalvo-Lominchar, M. G., et al. (2017). Differences in gut microbiota profile between women with active lifestyle and sedentary women. PLoS ONE 12:e0171352. doi: 10.1371/journal.pone.0171352
Campbell, S. C., Wisniewski, P. J., Noji, M., McGuinness, L. R., Häggblom, M. M., Lightfoot, S. A., et al. (2016). The effect of diet and exercise on intestinal integrity and microbial diversity in mice. PLoS ONE 11:e0150502. doi: 10.1371/journal.pone.0150502
Canfora, E. E., van der Beek, C. M., Hermes, G. D. A., Goossens, G. H., Jocken, J. W. E., Holst, J. J., et al. (2017). Supplementation of diet with galacto-oligosaccharides increases Bifidobacteria, but not insulin sensitivity, in obese prediabetic individuals. Gastroenterology 153, 87–97. doi: 10.1053/j.gastro.2017.03.051
Cani, P. D., Amar, J., Iglesias, M. A., Poggi, M., Knauf, C., Bastelica, D., et al. (2007). Metabolic endotoxemia initiates obesity and insulin resistance. Diabetes 56, 1761–1772. doi: 10.2337/db06-1491
Cani, P. D., Dewever, C., and Delzenne, N. M. (2004). Inulin-type fructans modulate gastrointestinal peptides involved in appetite regulation (glucagon-like peptide-1 and ghrelin) in rats. Br. J. Nutr. 92, 521–526. doi: 10.1079/BJN20041225
Cani, P. D., Osto, M., Geurts, L., and Everard, A. (2012). Involvement of gut microbiota in the development of low-grade inflammation and type 2 diabetes associated with obesity. Gut Microbes 3, 279–288. doi: 10.4161/gmic.19625
Cani, P. D., Possemiers, S., Van de Wiele, T., Guiot, Y., Everard, A., Rottier, O., et al. (2009). Changes in gut microbiota control inflammation in obese mice through a mechanism involving GLP-2-driven improvement of gut permeability. Gut 58, 1091–1103. doi: 10.1136/gut.2008.165886
Cano, P. G., Santacruz, A., Trejo, F. M., and Sanz, Y. (2013). Bifidobacterium CECT 7765 improves metabolic and immunological alterations associated with obesity in high-fat diet-fed mice. Obesity 21, 2310–2321. doi: 10.1002/oby.20330
Cardona, F., Andrés-Lacueva, C., Tulipani, S., Tinahones, F. J., and Queipo-Ortuño, M. I. (2013). Benefits of polyphenols on gut microbiota and implications in human health. J. Nutr. Biochem. 24, 1415–1422. doi: 10.1016/j.jnutbio.2013.05.001
Catalioto, R.-M., Maggi, C. A., and Giuliani, S. (2011). Intestinal epithelial barrier dysfunction in disease and possible therapeutical interventions. Curr. Med. Chem. 18, 398–426. doi: 10.2174/092986711794839179
Chang, W.-C., Jia, H., Aw, W., Saito, K., Hasegawa, S., and Kato, H. (2014). Beneficial effects of soluble dietary Jerusalem artichoke (Helianthus tuberosus) in the prevention of the onset of type 2 diabetes and non-alcoholic fatty liver disease in high-fructose diet-fed rats. Br. J. Nutr. 112, 709–717. doi: 10.1017/S0007114514001421
Cheng, M., Zhang, X., Miao, Y., Cao, J., Wu, Z., and Weng, P. (2017). The modulatory effect of (-)-epigallocatechin 3-O-(3-O-methyl) gallate (EGCG3“Me) on intestinal microbiota of high fat diet-induced obesity mice model. Food Res. Int. 92, 9–16. doi: 10.1016/j.foodres.2016.12.008
Cho, M. S., Kim, S. Y., Suk, K. T., and Kim, B. Y. (2018). Modulation of gut microbiome in nonalcoholic fatty liver disease: pro-, pre-, syn-, and antibiotics. J. Microbiol. 56, 855–867. doi: 10.1007/s12275-018-8346-2
Chua, C. S., Yang, K. C., Chen, J. H., Liu, Y. H., Hsu, Y. H., Lee, H. C., et al. (2016). The efficacy of blueberry and grape seed extract combination on triple therapy for Helicobacter pylori eradication: a randomised controlled trial. Int. J. Food Sci. Nutr. 67, 177–183. doi: 10.3109/09637486.2016.1144716
Clarke, S. F., Murphy, E. F., O'Sullivan, O., Lucey, A. J., Humphreys, M., Hogan, A., et al. (2014). Exercise and associated dietary extremes impact on gut microbial diversity. Gut 63, 1913–1920. doi: 10.1136/gutjnl-2013-306541
Correia-Sá, I., de-Sousa-Lopes, H., Martins, M. J., Azevedo, I., Moura, E., and Vieira-Coelho, M. A. (2013). Effects of raftilose on serum biochemistry and liver morphology in rats fed with normal or high-fat diet. Mol. Nutr. Food Res. 57, 1468–1472. doi: 10.1002/mnfr.201200693
Costea, P. I., Hildebrand, F., Arumugam, M., Bäckhed, F., Blaser, M. J., Bushman, F. D., et al. (2018). Enterotypes in the landscape of gut microbial community composition. Nat. Microbiol. 3, 8–16. doi: 10.1038/s41564-017-0072-8
Dao, M. C., Everard, A., Aron-Wisnewsky, J., Sokolovska, N., Prifti, E., Verger, E. O., et al. (2016). Akkermansia muciniphila and improved metabolic health during a dietary intervention in obesity: relationship with gut microbiome richness and ecology. Gut 65, 426–436. doi: 10.1136/gutjnl-2014-308778
Daubioul, C., Rousseau, N., Demeure, R., Gallez, B., Taper, H., Declerck, B., et al. (2002). Dietary fructans, but not cellulose, decrease triglyceride accumulation in the liver of obese Zucker fa/fa rats. J. Nutr. 132, 967–973. doi: 10.1093/jn/132.5.967
Daubioul, C. A., Horsmans, Y., Lambert, P., Danse, E., and Delzenne, N. M. (2005). Effects of oligofructose on glucose and lipid metabolism in patients with nonalcoholic steatohepatitis: results of a pilot study. Eur. J. Clin. Nutr. 59, 723–726. doi: 10.1038/sj.ejcn.1602127
Daubioul, C. A., Taper, H. S., De Wispelaere, L. D., and Delzenne, N. M. (2000). Dietary oligofructose lessens hepatic steatosis, but does not prevent hypertriglyceridemia in obese zucker rats. J. Nutr. 130, 1314–1319. doi: 10.1093/jn/130.5.1314
de Groot, P. F., Frissen, M. N., de Clercq, N. C., and Nieuwdorp, M. (2017). Fecal microbiota transplantation in metabolic syndrome: History, present and future. Gut Microbes 8, 253–267. doi: 10.1080/19490976.2017.1293224
Delaune, V., Orci, L. A., Lacotte, S., Peloso, A., Schrenzel, J., Lazarevic, V., et al. (2018). Fecal microbiota transplantation: a promising strategy in preventing the progression of non-alcoholic steatohepatitis and improving the anti-cancer immune response. Expert Opin. Biol. Ther. 18, 1061–1071. doi: 10.1080/14712598.2018.1518424
Delzenne, N. M., Neyrinck, A. M., and Cani, P. D. (2011). Modulation of the gut microbiota by nutrients with prebiotic properties: consequences for host health in the context of obesity and metabolic syndrome. Microb. Cell Fact. 10:S10. doi: 10.1186/1475-2859-10-S1-S10
Denou, E., Marcinko, K., Surette, M. G., Steinberg, G. R., and Schertzer, J. D. (2016). High-intensity exercise training increases the diversity and metabolic capacity of the mouse distal gut microbiota during diet-induced obesity. Am. J. Physiol. Endocrinol. Metab. 310, E982–E993. doi: 10.1152/ajpendo.00537.2015
Dewulf, E. M., Cani, P. D., Claus, S. P., Fuentes, S., Puylaert, P. G., Neyrinck, A. M., et al. (2013). Insight into the prebiotic concept: lessons from an exploratory, double blind intervention study with inulin-type fructans in obese women. Gut 62, 1112–1121. doi: 10.1136/gutjnl-2012-303304
Di Luccia, B., Crescenzo, R., Mazzoli, A., Cigliano, L., Venditti, P., Walser, J. C., et al. (2015). Rescue of fructose-induced metabolic syndrome by antibiotics or faecal transplantation in a rat model of obesity. PLoS ONE 10:e0134893. doi: 10.1371/journal.pone.0134893
Duncan, S. H., Lobley, G. E., Holtrop, G., Ince, J., Johnstone, A. M., Louis, P., et al. (2008). Human colonic microbiota associated with diet, obesity and weight loss. Int. J. Obes. 32, 1720–1724. doi: 10.1038/ijo.2008.155
Espín, J. C., González-Sarrías, A., and Tomás-Barberán, F. A. (2017). The gut microbiota: a key factor in the therapeutic effects of (poly)phenols. Biochem. Pharmacol. 139, 82–93. doi: 10.1016/j.bcp.2017.04.033
Etxeberria, U., Arias, N., Boqué, N., Macarulla, M. T., Portillo, M. P., Martínez, J. A., et al. (2015). Reshaping faecal gut microbiota composition by the intake of trans-resveratrol and quercetin in high-fat sucrose diet-fed rats. J. Nutr. Biochem. 26, 651–660. doi: 10.1016/j.jnutbio.2015.01.002
Evans, C. C., LePard, K. J., Kwak, J. W., Stancukas, M. C., Laskowski, S., Dougherty, J., et al. (2014). Exercise prevents weight gain and alters the gut microbiota in a mouse model of high fat diet-induced obesity. PLoS ONE 9:e92193. doi: 10.1371/journal.pone.0092193
Everard, A., Lazarevic, V., Derrien, M., Girard, M., Muccioli, G. M., Neyrinck, A. M., et al. (2011). Responses of gut microbiota and glucose and lipid metabolism to prebiotics in genetic obese and diet-induced leptin-resistant mice. Diabetes 60, 2775–2786. doi: 10.2337/db11-0227
Everard, A., Lazarevic, V., Gaïa, N., Johansson, M., Ståhlman, M., Backhed, F., et al. (2014a). Microbiome of prebiotic-treated mice reveals novel targets involved in host response during obesity. ISME J. 8, 2116–2130. doi: 10.1038/ismej.2014.45
Everard, A., Matamoros, S., Geurts, L., Delzenne, N. M., and Cani, P. D. (2014b). Saccharomoyces boulardii administration changes gut microbiota and reduces hepatic steatosis, low-grade inflammation, and fat mass in obese and type 2 diabeteic db/db mice. Am. Soc. Microbiol. 5, e01011–e01014. doi: 10.1128/mBio.01011-14
Fåk, F., Jakobsdottir, G., Kulcinskaja, E., Marungruang, N., Matziouridou, C., Nilsson, U., et al. (2015). The physico-chemical properties of dietary fibre determine metabolic responses, short-chain fatty acid profiles and gut microbiota composition in rats fed low- and high-fat diets. PLoS ONE 10:e0127252. doi: 10.1371/journal.pone.0127252
Falony, G., Vlachou, A., Verbrugghe, K., and Vuyst, L. D. (2006). Cross-feeding between Bifidobacterium longum BB536 and acetate-converting, butyrate-producing colon bacteria during growth on oligofructose. Appl. Environ. Microbiol. 72, 7835–7841. doi: 10.1128/AEM.01296-06
Famouri, F., Shariat, Z., Hashemipour, M., Keikha, M., and Kelishadi, R. (2016). Effects of probiotics on non-alcoholic fatty liver disease in obese children and adolescents. J. Pediatr. Gastroenterol. Nutr. 64, 413–417. doi: 10.1097/MPG.0000000000001422
Fazel, Y., Koenig, A. B., Sayiner, M., Goodman, Z. D., and Younossi, Z. M. (2016). Epidemiology and natural history of non-alcoholic fatty liver disease. Metabolism 65, 1017–1025. doi: 10.1016/j.metabol.2016.01.012
Feng, W., Wang, H., Zhang, P., Gao, C., Tao, J., Ge, Z., et al. (2017). Modulation of gut microbiota contributes to curcumin-mediated attenuation of hepatic steatosis in rats. Biochim. Biophys. Acta Gen. Subj. 1861, 1801–1812. doi: 10.1016/j.bbagen.2017.03.017
Ferolla, S. M., Couto, C. A., Costa-Silva, L., Armiliato, G. N. A., Pereira, C. A. S., Martins, F. S., et al. (2016). Beneficial effect of synbiotic supplementation on hepatic steatosis and anthropometric parameters, but not on gut permeability in a population with nonalcoholic steatohepatitis. Nutrients 8:E397. doi: 10.3390/nu8070397
Ferreira, D. F., Fiamoncini, J., Prist, I. H., Ariga, S. K., De Souza, H. P., and De Lima, T. M. (2015). Novel role of TLR4 in NAFLD development: modulation of metabolic enzymes expression. Biochim. Biophys. Acta Mol. Cell Biol. Lipids 1851, 1353–1359. doi: 10.1016/j.bbalip.2015.07.002
Ferrere, G., Wrzosek, L., Cailleux, F., Turpin, W., Puchois, V., Spatz, M., et al. (2016). Fecal microbiota manipulation prevents dysbiosis and alcohol-induced liver injury in mice. J. Hepatol. 66, 806–815. doi: 10.1016/j.jhep.2016.11.008
Fischer, L. M., daCosta, K. A., Kwock, L., Stewart, P. W., Lu, T.-S., Stabler, S. P., et al. (2007). Sex and menopausal status influence human dietary requirements for the nutrient choline. Am. J. Clin. Nutr. 85, 1275–1285. doi: 10.1093/ajcn/85.5.1275
Gil-Cardoso, K., Ginés, I., Pinent, M., Ardévol, A., Blay, M., and Terra, X. (2016). Effects of flavonoids on intestinal inflammation, barrier integrity and changes in gut microbiota during diet-induced obesity. Nutr. Res. Rev. 29, 234–248. doi: 10.1017/S0954422416000159
Giorgio, V., Miele, L., Principessa, L., Ferretti, F., Villa, M. P., Negro, V., et al. (2014). Intestinal permeability is increased in children with non-alcoholic fatty liver disease, and correlates with liver disease severity. Dig. Liver Dis. 46, 556–560. doi: 10.1016/j.dld.2014.02.010
Goedeke, L., Bates, J., Vatner, D. F., Perry, R. J., Wang, T., Ramirez, R., et al. (2018). Acetyl-CoA carboxylase inhibition reverses NAFLD and hepatic insulin resistance but promotes hypertriglyceridemia in rodents. Hepatology 68, 2197–2211. doi: 10.1002/hep.30097
Guo, X., Cheng, M., Zhang, X., Cao, J., Wu, Z., and Weng, P. (2017). Green tea polyphenols reduce obesity in high-fat diet-induced mice by modulating intestinal microbiota composition. Int. J. Food Sci. Technol. 52, 1723–1730. doi: 10.1111/ijfs.13479
Guzmán, C., Benet, M., Pisonero-Vaquero, S., Moya, M., García-Mediavilla, M. V., Martínez-Chantar, M. L., et al. (2013). The human liver fatty acid binding protein (FABP1) gene is activated by FOXA1 and PPARα; and repressed by C/EBPα: Implications in FABP1 down-regulation in nonalcoholic fatty liver disease. Biochim. Biophys. Acta Mol. Cell Biol. Lipids 1831, 803–818. doi: 10.1016/j.bbalip.2012.12.014
Henao-Mejia, J., Elinav, E., Jin, C., Hao, L., Mehal, W. Z., Strowig, T., et al. (2012). Inflammasome-mediated dysbiosis regulates progression of NAFLD and obesity. Nature 482, 179–185. doi: 10.1038/nature10809
Heyman-Lindén, L., Kotowska, D., Sand, E., Bjursell, M., Plaza, M., Turner, C., et al. (2016). Lingonberries alter the gut microbiota and prevent low-grade inflammation in high-fat diet fed mice. Food Nutr. Res. 60:29993. doi: 10.3402/fnr.v60.29993
Hildebrandt, M. A., Hoffmann, C., Sherrill-Mix, S. A., Keilbaugh, S. A., Hamady, M., Chen, Y. Y., et al. (2009). High-fat diet determines the composition of the murine gut microbiome independently of obesity. Gastroenterology 137, 1716–1724. doi: 10.1053/j.gastro.2009.08.042
Hira, T., Suto, R., Kishimoto, Y., Kanahori, S., and Hara, H. (2018). Resistant maltodextrin or fructooligosaccharides promotes GLP-1 production in male rats fed a high-fat and high-sucrose diet, and partially reduces energy intake and adiposity. Eur. J. Nutr. 57, 965–979. doi: 10.1007/s00394-017-1381-7
Iacono, A., Raso, G. M., Canani, R. B., Calignano, A., and Meli, R. (2011). Probiotics as an emerging therapeutic strategy to treat NAFLD: Focus on molecular and biochemical mechanisms. J. Nutr. Biochem. 22, 699–711. doi: 10.1016/j.jnutbio.2010.10.002
Ivanov, I. I., Frutos, R., de, L., Manel, N., Yoshinaga, K., Rifkin, D. B., Sartor, R. B., et al. (2008). Specific microbiota direct the differentiation of IL-17-producing T-helper cells in the mucosa of the small intestine. Cell Host Microbe 4, 337–349. doi: 10.1016/j.chom.2008.09.009
Janssen, A. W. F., Houben, T., Katiraei, S., Dijk, W., Boutens, L., van der Bolt, N., et al. (2017). Modulation of the gut microbiota impacts nonalcoholic fatty liver disease: a potential role for bile acids. J. Lipid Res. 58, 1399–1416. doi: 10.1194/jlr.M075713
Jena, P. K., Sheng, L., Liu, H.-X., Kalanetra, K. M., Mirsoian, A., Murphy, W. J., et al. (2017). Western diet–induced dysbiosis in farnesoid X receptor knockout mice causes persistent hepatic inflammation after antibiotic treatment. Am. J. Pathol. 187, 1800–1813. doi: 10.1016/j.ajpath.2017.04.019
Kellow, N. J., Coughlan, M. T., and Reid, C. M. (2014). Metabolic benefits of dietary prebiotics in human subjects: a systematic review of randomised controlled trials. Br. J. Nutr. 111, 1147–1161. doi: 10.1017/S0007114513003607
Kieffer, D. A., Piccolo, B. D., Marco, M. L., Kim, E. B., Goodson, M. L., Keenan, M. J., et al. (2016). Mice fed a high-fat diet supplemented with resistant starch display marked shifts in the liver metabolome concurrent with altered gut bacteria. J. Nutr. 146, 2476–2490. doi: 10.3945/jn.116.238931
Kim, B., Park, K.-Y., Ji, Y., Park, S., Holzapfel, W., and Hyun, C.-K. (2016). Protective effects of Lactobacillus rhamnosus GG against dyslipidemia in high-fat diet-induced obese mice. Biochem. Biophys. Res. Commun. 473, 530–536. doi: 10.1016/j.bbrc.2016.03.107
Kim, D. H., Kim, H., Jeong, D., Kang, I. B., Chon, J. W., Kim, H. S., et al. (2017). Kefir alleviates obesity and hepatic steatosis in high-fat diet-fed mice by modulation of gut microbiota and mycobiota: targeted and untargeted community analysis with correlation of biomarkers. J. Nutr. Biochem. 44, 35–43. doi: 10.1016/j.jnutbio.2017.02.014
Kumar, S. A., Ward, L. C., and Brown, L. (2016). Inulin oligofructose attenuates metabolic syndrome in high-carbohydrate, high-fat diet-fed rats. Br. J. Nutr. 116, 1502–1511. doi: 10.1017/S0007114516003627
Lambert, J. E., Myslicki, J. P., Bomhof, M. R., Belke, D. D., Shearer, J., and Reimer, R. A. (2015). Exercise training modifies gut microbiota in normal and diabetic mice. Appl. Physiol. Nutr. Metab. 40, 749–752. doi: 10.1139/apnm-2014-0452
Le Chatelier, E., Nielsen, T., Qin, J., Prifti, E., Hildebrand, F., Falony, G., et al. (2013). Richness of human gut microbiome correlates with metabolic markers. Nature 500, 541–546. doi: 10.1038/nature12506
Le Roy, T., Llopis, M., Lepage, P., Bruneau, A., Rabot, S., Bevilacqua, C., et al. (2013). Intestinal microbiota determines development of non-alcoholic fatty liver disease in mice. Gut 62, 1787–1794. doi: 10.1136/gutjnl-2012-303816
Ley, R. E., Bäckhed, F., Turnbaugh, P., Lozupone, C. A., Knight, R. D., and Gordon, J. I. (2005). Obesity alters gut microbial ecology. Proc. Natl. Acad. Sci. U.S.A. 102, 11070–11075. doi: 10.1073/pnas.0504978102
Li, Z., Yang, S., Lin, H., Huang, J., Watkins, P. A., Moser, A. B., et al. (2003). Probiotics and antibodies to TNF inhibit inflammatory activity and improve nonalcoholic fatty liver disease. Hepatology 37, 343–350. doi: 10.1053/jhep.2003.50048
Liu, W., Zhao, S., Wang, J., Shi, J., Sun, Y., Wang, W., et al. (2017). Grape seed proanthocyanidin extract ameliorates inflammation and adiposity by modulating gut microbiota in high-fat diet mice. Mol. Nutr. Food Res. 61:1601082. doi: 10.1002/mnfr.201601082
Loman, B. R., Hernández-Saavedra, D., An, R., and Rector, R. S. (2018). Prebiotic and probiotic treatment of nonalcoholic fatty liver disease: a systematic review and meta-analysis. Nutr. Rev. 76, 822–839. doi: 10.1093/nutrit/nuy031
Lu, Y., Fan, C., Li, P., Lu, Y., Chang, X., and Qi, K. (2016). Short chain fatty acids prevent high-fat-diet-induced obesity in mice by regulating g protein-coupled receptors and gut Microbiota. Sci. Rep. 6:37589. doi: 10.1038/srep37589
Malaguarnera, M., Vacante, M., Antic, T., Giordano, M., Chisari, G., Acquaviva, R., et al. (2012). Bifidobacterium longum with fructo-oligosaccharides in patients with non alcoholic steatohepatitis. Dig. Dis. Sci. 57, 545–553. doi: 10.1007/s10620-011-1887-4
Mao, B., Li, D., Zhao, J., Liu, X., Gu, Z., Chen, Y. Q., et al. (2015). Metagenomic insights into the effects of fructo-oligosaccharides (FOS) on the composition of fecal microbiota in mice. J. Agric. Food Chem. 63, 856–863. doi: 10.1021/jf505156h
Marchesi, J. R., Adams, D. H., Fava, F., Hermes, G. D. A., Hirschfield, G. M., Hold, G., et al. (2016). The gut microbiota and host health: a new clinical frontier. Gut 65, 330–339. doi: 10.1136/gutjnl-2015-309990
Masumoto, S., Terao, A., Yamamoto, Y., Mukai, T., Miura, T., and Shoji, T. (2016). Non-absorbable apple procyanidins prevent obesity associated with gut microbial and metabolomic changes. Sci. Rep. 6:31208. doi: 10.1038/srep31208
Matsumoto, K., Ichimura, M., Tsuneyama, K., Moritoki, Y., Tsunashima, H., Omagari, K., et al. (2017). Fructo-oligosaccharides and intestinal barrier function in a methionine–choline-deficient mouse model of nonalcoholic steatohepatitis. PLoS ONE 12:e0175406. doi: 10.1371/journal.pone.0175406
Matsumoto, M., Inoue, R., Tsukahara, T., Ushida, K., Chiji, H., Matsubara, N., et al. (2008). Voluntary running exercise alters microbiota composition and increases n-butyrate concentration in the rat cecum. Biosci. Biotechnol. Biochem. 72, 572–576. doi: 10.1271/bbb.70474
Miele, L., Marrone, G., Lauritano, C., Cefalo, C., Gasbarrini, A., Day, C., et al. (2013). Gut-liver axis and microbiota in NAFLD : insight pathophysiology for novel therapeutic target. Curr. Pharmacutical Des. 19, 5314–5324. doi: 10.2174/1381612811319290011
Miele, L., Valenza, V., La Torre, G., Montalto, M., Cammarota, G., Ricci, R., et al. (2009). Increased intestinal permeability and tight junction alterations in nonalcoholic fatty liver disease. Hepatology 49, 1877–1887. doi: 10.1002/hep.22848
Mika, A., Van Treuren, W., González, A., Herrera, J. J., Knight, R., and Fleshner, M. (2015). Exercise is more effective at altering gut microbial composition and producing stable changes in lean mass in juvenile versus adult male F344 rats. PLoS ONE 10:e0125889. doi: 10.1371/journal.pone.0125889
Million, M., Maraninchi, M., Henry, M., Armougom, F., Richet, H., Carrieri, P., et al. (2012). Obesity-associated gut microbiota is enriched in Lactobacillus reuteri and depleted in Bifidobacterium animalis and Methanobrevibacter smithii. Int. J. Obes. 36, 817–825. doi: 10.1038/ijo.2011.153
Moayyedi, P., Surette, M. G., Kim, P. T., Libertucci, J., Wolfe, M., Onischi, C., et al. (2015). Fecal microbiota transplantation induces remission in patients with active ulcerative colitis in a randomized controlled trial. Gastroenterology 149, 102–109.e6. doi: 10.1053/j.gastro.2015.04.001
Mofidi, F., Poustchi, H., Yari, Z., Nourinayyer, B., Merat, S., Sharafkhah, M., et al. (2017). Synbiotic supplementation in lean patients with non-alcoholic fatty liver disease: a pilot, randomised, double-blind, placebo-controlled, clinical trial. Br. J. Nutr. 117, 662–668. doi: 10.1017/S0007114517000204
Moreno-Indias, I., Sánchez-Alcoholado, L., Pérez-Martínez, P., Andrés-Lacueva, C., Cardona, F., Tinahones, F., et al. (2016). Red wine polyphenols modulate fecal microbiota and reduce markers of the metabolic syndrome in obese patients. Food Funct. 7, 1775–1787. doi: 10.1039/C5FO00886G
Mouzaki, M., Comelli, E. M., Arendt, B. M., Bonengel, J., Fung, S. K., Fischer, S. E., et al. (2013). Intestinal microbiota in patients with nonalcoholic fatty liver disease. Hepatology 58, 120–127. doi: 10.1002/hep.26319
Moya-Pérez, A., Neef, A., and Sanz, Y. (2015). Bifidobacterium pseudocatenulatum CECT 7765 reduces obesity-associated inflammation by restoring the lymphocyte-macrophage balance and gut microbiota structure in high-fat diet-fed mice. PLoS ONE 10:e0126976. doi: 10.1371/journal.pone.0126976
Mridha, A. R., Wree, A., Robertson, A. A. B., Yeh, M. M., Johnson, C. D., Van Rooyen, D. M., et al. (2017). NLRP3 inflammasome blockade reduces liver inflammation and fibrosis in experimental NASH in mice. J. Hepatol. 66, 1037–1046. doi: 10.1016/j.jhep.2017.01.022
Muccioli, G. G., Naslain, D., Bäckhed, F., Reigstad, C. S., Lambert, D. M., Delzenne, N. M., et al. (2010). The endocannabinoid system links gut microbiota to adipogenesis. Mol. Syst. Biol. 6:392. doi: 10.1038/msb.2010.46
Murphy, E. F., Cotter, P. D., Healy, S., Marques, T. M., O'Sullivan, O., Fouhy, F., et al. (2010). Composition and energy harvesting capacity of the gut microbiota: relationship to diet, obesity and time in mouse models. Gut 59, 1635–1642. doi: 10.1136/gut.2010.215665
Nabavi, S., Rafraf, M., and Somi, M. H. (2014). Effects of probiotic yogurt consumption on metabolic factors in individuals with nonalcoholic fatty liver disease. J. Dairy Sci. 97, 7386–7393. doi: 10.3168/jds.2014-8500
Neyrinck, A. M., Van Hée, V. F., Piront, N., De Backer, F., Toussaint, O., Cani, P. D., et al. (2012). Wheat-derived arabinoxylan oligosaccharides with prebiotic effect increase satietogenic gut peptides and reduce metabolic endotoxemia in diet-induced obese mice. Nutr. Diabetes 2:e28. doi: 10.1038/nutd.2011.24
Nicolucci, A. C., Hume, M. P., Martínez, I., Mayengbam, S., Walter, J., and Reimer, R. A. (2017). Prebiotics reduce body fat and alter intestinal microbiota in children who are overweight or with obesity. Gastroenterology 153, 711–722. doi: 10.1053/j.gastro.2017.05.055
Ojo, B., El-rassi, G. D., Payton, M. E., Perkins-Veazie, P., Clarke, S., Smith, B. J., et al. (2016). Mango supplementation modulates gut microbial dysbiosis and short-chain fatty acid production independent of body weight reduction in C57BL /6 mice fed a high-fat diet. J. Nutr. 146, 1483–1491. doi: 10.3945/jn.115.226688
Okubo, H., Sakoda, H., Kushiyama, A., Fujishiro, M., Nakatsu, Y., Fukushima, T., et al. (2013). Lactobacillus casei strain Shirota protects against nonalcoholic steatohepatitis development in a rodent model. AJP Gastrointest. Liver Physiol. 305, G911–G918. doi: 10.1152/ajpgi.00225.2013
Ordonez, R., Carbajo-Pescador, S., Mauriz, J. L., and Gonzalez-Gallego, J. (2015). Understanding nutritional interventions and physical exercise in non-alcoholic fatty liver disease. Curr. Mol. Med. 15, 3–26. doi: 10.2174/1566524015666150114110551
Pachikian, B. D., Essaghir, A., Demoulin, J. B., Catry, E., Neyrinck, A. M., Dewulf, E. M., et al. (2013). Prebiotic approach alleviates hepatic steatosis: implication of fatty acid oxidative and cholesterol synthesis pathways. Mol. Nutr. Food Res. 57, 347–359. doi: 10.1002/mnfr.201200364
Paramsothy, S., Kamm, M. A., Kaakoush, N. O., Walsh, A. J., van den Bogaerde, J., Samuel, D., et al. (2017). Multidonor intensive faecal microbiota transplantation for active ulcerative colitis: a randomised placebo-controlled trial. Lancet 389, 1218–1228. doi: 10.1016/S0140-6736(17)30182-4
Parnell, J. A., Raman, M., Rioux, K. P., and Reimer, R. A. (2012). The potential role of prebiotic fibre for treatment and management of non-alcoholic fatty liver disease and associated obesity and insulin resistance. Liver Int. 32, 701–711. doi: 10.1111/j.1478-3231.2011.02730.x
Parnell, J. A., and Reimer, R. A. (2009). Weight loss during oligofructose supplementation is associated with decreased ghrelin and increased peptide YY in overweight and obese adults. Am. J. Clin. Nutr. 89, 1751–1759. doi: 10.3945/ajcn.2009.27465
Parnell, J. A., and Reimer, R. A. (2012). Prebiotic fibres dose-dependently increase satiety hormones and alter Bacteroidetes and Firmicutes in lean and obese JCR:LA-cp rats. Br. J. Nutr. 107, 601–613. doi: 10.1017/S0007114511003163
Petriz, B. A. B., Castro, A. P., Almeida, J. A. J., Gomes, C. C. P., Fernandes, G. R., Kruger, R. H., et al. (2014). Exercise induction of gut microbiota modifications in obese, non-obese and hypertensive rats. BMC Genomics 15, 511. doi: 10.1186/1471-2164-15-511
Pindjakova, J., Sartini, C., Lo Re, O., Rappa, F., Coupe, B., Lelouvier, B., et al. (2017). Gut dysbiosis and adaptive immune response in diet-induced obesity vs systemic inflammation. Front. Microbiol. 8:1157. doi: 10.3389/fmicb.2017.01157
Pisonero-Vaquero, S., González-Gallego, J., Sánchez-Campos, S., and García-Mediavilla, M. V. (2015a). Flavonoids and related compounds in non-alcoholic fatty liver disease therapy. Curr. Med. Chem. 22, 2991–3012. doi: 10.2174/0929867322666150805094940
Pisonero-Vaquero, S., Martínez-Ferreras, Á., García-Mediavilla, M. V., Martínez-Flórez, S., Fernández, A., Benet, M., et al. (2015b). Quercetin ameliorates dysregulation of lipid metabolism genes via the PI3K/AKT pathway in a diet-induced mouse model of nonalcoholic fatty liver disease. Mol. Nutr. Food Res. 59, 879–893. doi: 10.1002/mnfr.201400913
Plovier, H., Everard, A., Druart, C., Depommier, C., Van Hul, M., Geurts, L., et al. (2016). A purified membrane protein from Akkermansia muciniphila or the pasteurized bacterium improves metabolism in obese and diabetic mice. Nat. Med. 23, 107–113. doi: 10.1038/nm.4236
Porras, D., Nistal, E., Martínez-Flórez, S., Pisonero-Vaquero, S., Olcoz, J. L., Jover, R., et al. (2017). Protective effect of quercetin on high-fat diet-induced non-alcoholic fatty liver disease in mice is mediated by modulating intestinal microbiota imbalance and related gut-liver axis activation. Free Radic. Biol. Med. 102, 188–202. doi: 10.1016/j.freeradbiomed.2016.11.037
Queipo-Ortuño, M. I., Seoane, L. M., Murri, M., Pardo, M., Gomez-Zumaquero, J. M., Cardona, F., et al. (2013). Gut microbiota composition in male rat models under different nutritional status and physical activity and its association with serum leptin and ghrelin levels. PLoS ONE 8:e65465. doi: 10.1371/journal.pone.0065465
Rabot, S., Membrez, M., Blancher, F., Berger, B., Moine, D., Krause, L., et al. (2016). High fat diet drives obesity regardless the composition of gut microbiota in mice. Sci. Rep. 6:32484. doi: 10.1038/srep32484
Ridaura, V. K., Faith, J. J., Rey, F. E., Cheng, J., Duncan, A. E., Kau, A. L., et al. (2013). Gut microbiota from twins discordant for obesity modulate metabolism in mice. Science 341:1241214. doi: 10.1126/science.1241214
Ritze, Y., Bárdos, G., Claus, A., Ehrmann, V., Bergheim, I., Schwiertz, A., et al. (2014). Lactobacillus rhamnosus GG protects against non-alcoholic fatty liver disease in mice. PLoS ONE 9:e80169. doi: 10.1371/journal.pone.0080169
Roberfroid, M. B., Gibson, G. R., Hoyles, L., McCartney, A. L., Rastall, R. A., Rowland, I., et al. (2010). Prebiotic effects: Metabolic and health benefits. Br. J. Nutr. 104, 1–63. doi: 10.1017/S0007114510003363
Roopchand, D. E., Carmody, R. N., Kuhn, P., Moskal, K., Rojas-Silva, P., Turnbaugh, P. J., et al. (2015). Dietary polyphenols promote growth of the gut bacterium Akkermansia muciniphila and attenuate high-fat diet-induced metabolic syndrome. Diabetes 64, 2847–2858. doi: 10.2337/db14-1916
Rossen, N. G., Fuentes, S., van der Spek, M. J., Tijssen, J. G., Hartman, J. H. A., Duflou, A., et al. (2015). Findings from a randomized controlled trial of fecal transplantation for patients with ulcerative colitis. Gastroenterology 149, 110–118.e4. doi: 10.1053/j.gastro.2015.03.045
Saha, D. C., and Reimer, R. A. (2014). Long-term intake of a high prebiotic fiber diet but not high protein reduces metabolic risk after a high fat challenge and uniquely alters gut microbiota and hepatic gene expression. Nutr. Res. 34, 789–796. doi: 10.1016/j.nutres.2014.08.004
Salazar, N., Dewulf, E. M., Neyrinck, A. M., Bindels, L. B., Cani, P. D., Mahillon, J., et al. (2015). Inulin-type fructans modulate intestinal Bifidobacterium species populations and decrease fecal short-chain fatty acids in obese women. Clin. Nutr. 34, 501–507. doi: 10.1016/j.clnu.2014.06.001
Seganfredo, F. B., Blume, C. A., Moehlecke, M., Giongo, A., Casagrande, D. S., Spolidoro, J. V. N., et al. (2017). Weight-loss interventions and gut microbiota changes in overweight and obese patients: a systematic review. Obes. Rev. 18, 832–851. doi: 10.1111/obr.12541
Sepideh, A., Karim, P., Hossein, A., Leila, R., Hamdollah, M., Mohammad, E., et al. (2016). Effects of multistrain probiotic supplementation on glycemic and inflammatory indices in patients with nonalcoholic fatty liver disease: a double-blind randomized clinical trial. J. Am. Coll. Nutr. 35, 500–505. doi: 10.1080/07315724.2015.1031355
Sheng, L., Jena, P. K., Liu, H.-X., Kalanetra, K. M., Gonzalez, F. J., French, S. W., et al. (2017). Gender differences in bile acids and microbiota in relationship with gender dissimilarity in steatosis induced by diet and FXR inactivation. Sci. Rep. 7:1748. doi: 10.1038/s41598-017-01576-9
Steensels, S., Cools, L., Avau, B., Vancleef, L., Farré, R., Verbeke, K., et al. (2017). Supplementation of oligofructose, but not sucralose, decreases high-fat diet induced body weight gain in mice independent of gustducin-mediated gut hormone release. Mol. Nutr. Food Res. 61:1600716. doi: 10.1002/mnfr.201600716
Sugatani, J., Sadamitsu, S., Wada, T., Yamazaki, Y., Ikari, A., and Miwa, M. (2012). Effects of dietary inulin, statin, and their co-treatment on hyperlipidemia, hepatic steatosis and changes in drug-metabolizing enzymes in rats fed a high-fat and high-sucrose diet. Nutr. Metab. 9:23. doi: 10.1186/1743-7075-9-23
Sugatani, J., Wada, T., Osabe, M., Yamakawa, K., Yoshinari, K., and Miwa, M. (2006). Dietary inulin alleviates hepatic steatosis and xenobiotics-induced liver injury in rats fed a high-fat and high-sucrose diet : association with the suppression of hepatic cytochrome P450 and hepatocyte nuclear factor 4 α expression. Drug Metab. Dispos. 34, 1677–1687. doi: 10.1124/dmd.106.010645
Sung, M. M., Kim, T. T., Denou, E., Soltys, C. L. M., Hamza, S. M., Byrne, N. J., et al. (2017). Improved glucose homeostasis in obese mice treated with resveratrol is associated with alterations in the gut microbiome. Diabetes 66, 418–425. doi: 10.2337/db16-0680
Tang, Y., Bian, Z., Zhao, L., Liu, Y., Liang, S., Wang, Q., et al. (2011). Interleukin-17 exacerbates hepatic steatosis and inflammation in non-alcoholic fatty liver disease. Clin. Exp. Immunol. 166, 281–290. doi: 10.1111/j.1365-2249.2011.04471.x
Teixeira, T. F. S., Grześkowiak, Ł., Franceschini, S. C. C., Bressan, J., Ferreira, C. L. L. F., and Peluzio, M. C. G. (2013). Higher level of faecal SCFA in women correlates with metabolic syndrome risk factors. Br. J. Nutr. 109, 914–919. doi: 10.1017/S0007114512002723
Tochio, T., Kitaura, Y., Nakamura, S., Sugawa, C., Takahashi, M., Endo, A., et al. (2016). An alteration in the cecal microbiota composition by feeding of 1-kestose results in a marked increase in the cecal butyrate content in rats. PLoS ONE 11:e0166850. doi: 10.1371/journal.pone.0166850
Turnbaugh, P. J., Bäckhed, F., Fulton, L., and Gordon, J. I. (2008). Diet-induced obesity is linked to marked but reversible alterations in the mouse distal gut microbiome. Cell Host Microbe 3, 213–223. doi: 10.1016/j.chom.2008.02.015
Vajro, P., Paolella, G., and Fasano, A. (2013). Microbiota and gut-liver axis: their influences on obesity and obesity-related liver disease. J. Pediatr. Gastroenterol. Nutr. 56, 461–468. doi: 10.1097/MPG.0b013e318284abb5
Van De Wier, B., Koek, G. H., Bast, A., and Haenen, G. R. M. M. (2017). The potential of flavonoids in the treatment of non-alcoholic fatty liver disease. Crit. Rev. Food Sci. Nutr. 57, 834–855. doi: 10.1080/10408398.2014.952399
Van Hul, M., Geurts, L., Plovier, H., Druart, C., Everard, A., Ståhlman, M., et al. (2017). 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. 314, E334–E352. doi: 10.1152/ajpendo.00107.2017
Vilar-Gomez, E., Martinez-Perez, Y., Calzadilla-Bertot, L., Torres-Gonzalez, A., Gra-Oramas, B., Gonzalez-Fabian, L., et al. (2015). Weight loss through lifestyle modification significantly reduces features of nonalcoholic steatohepatitis. Gastroenterology 149, 367–378.e5. doi: 10.1053/j.gastro.2015.04.005
Vrieze, A., Van Nood, E., Holleman, F., Salojärvi, J., Kootte, R. S., Bartelsman, J. F. W. M., et al. (2012). Transfer of intestinal microbiota from lean donors increases insulin sensitivity in individuals with metabolic syndrome. Gastroenterology 143, 913–916.e7. doi: 10.1053/j.gastro.2012.06.031
Vulevic, J., Juric, A., Tzortzis, G., and Gibson, G. R. (2013). A mixture of trans-galactooligosaccharides reduces markers of metabolic syndrome and modulates the fecal microbiota and immune function of overweight adults. J. Nutr. 143, 324–331. doi: 10.3945/jn.112.166132
Wang, B., Jiang, X., Cao, M., Ge, J., Bao, Q., Tang, L., et al. (2016). Altered fecal microbiota correlates with liver biochemistry in nonobese patients with non-alcoholic fatty liver disease. Sci. Rep. 6:32002. doi: 10.1038/srep32002
Wang, J., Tang, H., Zhang, C., Zhao, Y., Derrien, M., Rocher, E., et al. (2015). Modulation of gut microbiota during probiotic-mediated attenuation of metabolic syndrome in high fat diet-fed mice. ISME J. 9, 1–15. doi: 10.1038/ismej.2014.99
Wang, L., Hu, L., Yan, S., Jiang, T., Fang, S., Wang, G., et al. (2017a). Effects of different oligosaccharides at various dosages on the composition of gut microbiota and short-chain fatty acids in mice with constipation. Food Funct. 8, 1966–1978. doi: 10.1039/C7FO00031F
Wang, N., Liu, Y., Ma, Y., and Wen, D. (2017b). High-intensity interval versus moderate-intensity continuous training: superior metabolic benefits in diet-induced obesity mice. Life Sci. 191, 122–131. doi: 10.1016/j.lfs.2017.08.023
Welly, R. J., Liu, T. W., Zidon, T. M., Rowles, J. L., Park, Y. M., Smith, T. N., et al. (2016). Comparison of diet versus exercise on metabolic function and gut microbiota in obese rats. Med. Sci. Sports Exerc. 48, 1688–1698. doi: 10.1249/MSS.0000000000000964
Wewege, M., van den Berg, R., Ward, R. E., and Keech, A. (2017). The effects of high-intensity interval training vs. moderate-intensity continuous training on body composition in overweight and obese adults: a systematic review and meta-analysis. Obes. Rev. 18, 635–646. doi: 10.1111/obr.12532
Wieland, A., Frank, D. N., Harnke, B., and Bambha, K. (2015). Systematic review: microbial dysbiosis and nonalcoholic fatty liver disease. Aliment. Pharmacol. Ther. 42, 1051–1063. doi: 10.1111/apt.13376
Wilson, B., and Whelan, K. (2017). Prebiotic inulin-type fructans and galacto-oligosaccharides: definition, specificity, function, and application in gastrointestinal disorders. J. Gastroenterol. Hepatol. 32, 64–68. doi: 10.1111/jgh.13700
Wong, V. W. S., Wong, G. L. H., Chim, A. M. L., Chu, W. C. W., Yeung, D. K. W., Li, K. C. T., et al. (2013). Treatment of nonalcoholic steatohepatitis with probiotics. A proof-of-concept study. Ann. Hepatol. 12, 256–262.
World Health Organization (2016). Obesity and Overweight. Available at: http://www.who.int/mediacentre/factsheets/fs311/en/ (Accessed October 18, 2017).
Xue, L., He, J., Gao, N., Lu, X., Li, M., Wu, X., et al. (2017). Probiotics may delay the progression of nonalcoholic fatty liver disease by restoring the gut microbiota structure and improving intestinal endotoxemia. Sci. Rep. 7:45176. doi: 10.1038/srep45176
Yao, K., Zeng, L., He, Q., Wang, W., Lei, J., and Zou, X. (2017). Effect of probiotics on glucose and lipid metabolism in yype 2 diabetes mellitus: a meta-analysis of 12 randomized controlled trials. Med. Sci. Monit. 23, 3044–3053. doi: 10.12659/MSM.902600
Younossi, Z. M., Koenig, A. B., Abdelatif, D., Fazel, Y., Henry, L., and Wymer, M. (2015). Global epidemiology of non-alcoholic fatty liver disease-meta-analytic assessment of prevalence, incidence and outcomes. Hepatology 64, 73–84. doi: 10.1002/hep.28431
Zhou, D., Pan, Q., Shen, F., Cao, H., Ding, W., Chen, Y., et al. (2017). Total fecal microbiota transplantation alleviates high-fat diet-induced steatohepatitis in mice via beneficial regulation of gut microbiota. Sci. Rep. 7:1529. doi: 10.1038/s41598-017-01751-y
Zhu, L., Baker, S. S., Gill, C., Liu, W., Alkhouri, R., Baker, R. D., et al. (2013). Characterization of gut microbiomes in nonalcoholic steatohepatitis (NASH) patients: a connection between endogenous alcohol and NASH. Hepatology 57, 601–609. doi: 10.1002/hep.26093
Zoetendal, E. G., Rajilic-Stojanovic, M., and de Vos, W. M. (2008). High-throughput diversity and functionality analysis of the gastrointestinal tract microbiota. Gut 57, 1605–1615. doi: 10.1136/gut.2007.133603
Keywords: non-alcoholic fatty liver disease (NAFLD), obesity, intestinal microbiota, probiotics, prebiotics, polyphenols, fecal microbiota transplantation (FMT), physical exercise
Citation: Porras D, Nistal E, Martínez-Flórez S, González-Gallego J, García-Mediavilla MV and Sánchez-Campos S (2018) Intestinal Microbiota Modulation in Obesity-Related Non-alcoholic Fatty Liver Disease. Front. Physiol. 9:1813. doi: 10.3389/fphys.2018.01813
Received: 29 May 2018; Accepted: 05 December 2018;
Published: 18 December 2018.
Edited by:Marco Falasca, Curtin University, Australia
Reviewed by:Manlio Vinciguerra, International Clinical Research Center (FNUSA-ICRC), Czechia
Juan Antonio Rosado Dionisio, Universidad de Extremadura, Spain
Copyright © 2018 Porras, Nistal, Martínez-Flórez, González-Gallego, García-Mediavilla and Sánchez-Campos. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Sonia Sánchez-Campos, email@example.com