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. 2020 May 15;12(5):1434. doi: 10.3390/nu12051434

Connecting the Dots Between Inflammatory Bowel Disease and Metabolic Syndrome: A Focus on Gut-Derived Metabolites

Andrea Verdugo-Meza 1,, Jiayu Ye 1,, Hansika Dadlani 1, Sanjoy Ghosh 1,*, Deanna L Gibson 1,2,*
PMCID: PMC7285036  PMID: 32429195

Abstract

The role of the microbiome in health and disease has gained considerable attention and shed light on the etiology of complex diseases like inflammatory bowel disease (IBD) and metabolic syndrome (MetS). Since the microorganisms inhabiting the gut can confer either protective or harmful signals, understanding the functional network between the gut microbes and the host provides a comprehensive picture of health and disease status. In IBD, disruption of the gut barrier enhances microbe infiltration into the submucosae, which enhances the probability that gut-derived metabolites are translocated from the gut to the liver and pancreas. Considering inflammation and the gut microbiome can trigger intestinal barrier dysfunction, risk factors of metabolic diseases such as insulin resistance may have common roots with IBD. In this review, we focus on the overlap between IBD and MetS, and we explore the role of common metabolites in each disease in an attempt to connect a common origin, the gut microbiome and derived metabolites that affect the gut, liver and pancreas.

Keywords: immunometabolism, gut microbiome, microbiomics, insulin resistance, metabolism, inflammatory bowel disease

1. Introduction

Metabolic syndrome (MetS), or its consequence type 2 diabetes mellitus (T2DM), has been believed to be the direct result of a lack of exercise or caloric excess culminating in excess adiposity. While this remains true, we are observing an increased emphasis on the pervasive role of inflammation in multiple chronic health conditions, including inflammatory bowel disease (IBD) and nonalcoholic fatty liver disease (NAFLD), showing similar metabolic adaptations and insults connected to obesity and T2DM. This forces us to consider a common etiology of multiple chronic diseases while eliminating organ-specific problems as the root cause. For the sake of this review, we will consider the gut microbiome and its derived metabolites as a major common underlying driver of IBD and MetS. The purpose is to highlight the biochemical cross-talk between the gut microbiome and gut-derived metabolites associated with chronic inflammation to metabolic defects leading to liver and pancreas pathologies like NAFLD and diabetes. In particular, we focus on the current knowledge unraveling the mechanistic interaction between gut-derived metabolites in IBD and the collateral risk factors on promoting immuno-metabolic disorders like MetS. In this review, we propose that gut-derived metabolites shaped by the microbial ecosystem residing in the gut serve as a potential common origin connecting IBD, MetS and associated diseases like T2DM (Figure 1).

Figure 1.

Figure 1

The host–microbial metabolites interplay in health and chronic inflammatory disorders. Gut microbes produce metabolites that act either at local tissue or remotely in the liver and pancreas (A). In inflammatory bowel disease (IBD), damage to intestinal permeability is associated with changes in microbiota composition (dysbiosis). Consequently, this disrupts the homeostasis of microbial-derived metabolites, leading to increased inflammatory potential locally and systematically (B). Ultimately, protective metabolites (SCFA, SBA and indoles) are decreased, whereas pre-disorder metabolites such as BCAA are increased. This further disrupts the energy metabolism by impairing the insulin signaling pathway and accumulating fat droplets in the liver, as a result of developing hepatic (NAFLD) and pancreatic disorders (AP, T1D and T2D). The production of two energy regulating hormones, GLP-1 and PYY, is triggered by the secretion of SCFA (butyrate). With decreased SCFA in disease state, production of GLP-1 and PYY is also limited, therefore worsening the disrupted energy metabolism. AP: acute pancreatitis; BA: bile acid; BCAA: branched-chain amino acid; GLP-1: glucagon-like peptide 1; NAFLD: non-alcoholic fatty liver disease; ROS: reactive oxygen species; PYY: peptide YY; SBA: secondary bile acid; SCFA: short-chain fatty acids; T1D: type 1 diabetes; T2D: type 2 diabetes.

2. Commonalities between Inflammatory Bowel Disease and Metabolic Syndrome

Several parallels exist between MetS and IBD, both recognized as chronic life-long diseases. For two different clinically presented diseases to be related, one must consider its commonalities and co-existence. MetS refers to the cluster of risk factors such as obesity, insulin resistance, dyslipidemia and hypertension, leading to increased risk of detrimental metabolic diseases such as T2DM and cardiovascular disease [1]. Westernized countries like the United States report more than 30% MetS prevalence, and globally at least 25% of the population has MetS [2]. Another “Westernized” disease, IBD, is a group of disorders including ulcerative colitis (UC) and Crohn’s disease (CD), characterized by chronic and relapsing inflammation in the gastrointestinal tract [3,4]. North America and Europe have the highest IBD incidence worldwide, with a prevalence of 0.5%, extrapolated to 1.5 million diagnosed IBD patients in North America and 2 million in Europe [5,6]. Despite IBD not being at the top of the list of global killers, unlike MetS and associated diseases [7], the number of deaths and burden may have a comparable impact in the future as the prevalence continues to rise (85.1% increase from 1990 to 2017) [8]. Although linked to genetic susceptibility, heritability of disease remains weak for MetS and IBD (<25% for MetS, <15% for UC and <50% for CD) [1,6]. Therefore, it has been implied that an additional ‘environmental trigger’ is a must, but this remains undefined. As an example, a cohort study in Canada looked at the incidence of IBD between immigrants and the domestic population. Offspring of immigrants from Asia, of which typically have lower incidence of IBD, showed significantly increased IBD cases, compared to that of children of non-immigrants [9]. However, immigrants who came to Canada at a later age did not have an increased incidence of IBD. Although the exact mechanism remains unknown, environmental change at an earlier age is most likely considered a major player in the origin of IBD. Environmental factors are well known to be a group of driving factors in increased incidence and risk of MetS [2].

One of the most studied shared mechanisms of chronic diseases has been inflammation. Jurjus et al. (2016) extensively reviewed the connection between the inflammatory loops in both IBD and T2DM [10]. The authors highlighted the preponderant role of macrophages and their pro-inflammatory mediators in causing IBD. Similar mechanisms have also been proposed for T2DM. Common mechanisms include increased production of TNF-α, IL-6 and reactive oxygen species (ROS) [10,11]. Similar to T2DM, this trend is also associated with the risk of obesity. Alteration of leptin [12], obesity-correlated hormones, dietary intervention [13] and bariatric surgery [14] all attenuate symptomatic obesity through lowering these pro-inflammatory cytokines in circulation. Blocking inflammation via specific agents show commonalities in their effects on both MetS and IBD, at least in some studies. Anti-TNF-α agents such as infliximab have been approved for adults and children with CD in Europe [15,16]. Infliximab therapy showed an improvement in insulin sensitivity in patients with rheumatoid arthritis, a chronic inflammatory disorder [17,18]. However, while infliximab reduced disease activity in CD patients, insulin sensitivity was not altered [19,20]. Given the various pro-inflammatory molecules involved in impairment of insulin signaling as well as CD, it is highly unlikely that inhibition of one single pro-inflammatory molecule could improve the insulin-signaling cascade and highlights the inability of current therapy in muting the inflammation cascade in its entirety. Overall, it is clear that pro-inflammatory factors lead a significant role in the development of these diseases. The question remains as to what is the origin of this dysregulated chronic inflammation?

Evidence for a common origin is stronger when IBD and MetS are considered as co-morbid conditions [15]. Although in the past IBD patients were considered lean or underweight due to malabsorption of nutrients, more studies are reporting a considerable number of IBD patients being obese and overweight following treatment [21,22,23]. A nationwide population-based cohort in Denmark found that out of the 65,180 patients diagnosed with IBD, 50% showed an increase in risk of T2DM compared with the general population [24]. Another nationwide population-based study in South Korea showed a similar result, where CD patients from 8,070 IBD patients were shown to have a higher risk of developing T2DM. Interestingly, this observation was primarily driven by younger individuals with IBD [25]. Similarly, a small study from a German cohort demonstrated higher insulin levels in CD patients when compared to controls (p < 0.01) [26]. Moreover, up to 32% of IBD patients show NAFLD [27] compared to 24% in the normal population [18]. It has been observed there is an increased risk of developing atherosclerosis and later progression to cardiovascular disease in IBD [16,20,28,29]. Thus, recognition of NAFLD and atherosclerosis, which are well-recognized aspects of the MetS spectrum in IBD patients, indicates a strong co-morbid relationship between IBD and MetS. Therefore, it appears that such pro-inflammatory factors lead a significant role in the development of diseases, but the question remains as to what the origin of these diseases is.

3. Dysbiosis as a Common Feature of IBD and MetS

In line with the clinical observations that IBD and metabolic diseases may be comorbid, one mechanism by which these diseases might be connected, and as a common origin, is through the gut microbiome, or rather an alteration of the normal healthy microbiome referred to as dysbiosis. In the last decade, gut microbial dysbiosis has emerged as one of the novel mechanisms contributing to diabetes via increased intestinal permeability leading to systemic chronic inflammation. The compromised gut barrier function allows close contact of gut bacteria with gut epithelium and ultimately enhances infiltration of immune cells, expression of pro-inflammatory cytokines [30] and oxidative stress [31], leading to free lipopolysaccharide (LPS) entering into circulation causing endotoxemia [32] or high levels of endotoxins such as LPS in blood plasma. Low subclinical inflammation can lead to the onset and progression to T2DM by developing insulin resistance.

Fecal transplantation can either exacerbate or ameliorate IBD and metabolic diseases. Fecal transplantation experiments in mice can influence colitis susceptibility patterns [33,34]. Some models of colitis entirely depend on the presence of gut microbiota including IL-10−/− model of colitis [35,36]. Similarly, obesity is a phenotype controlled by the mere presence or absence of obese-associated gut microbiota revealed in class fecal transplant experiments in germ-free mice using both human and rodent gut microbiota [37]. Furthermore, glucose tolerance [33] and insulin resistance [38] are similarly controlled by the mere presence of the gut microbiome, evident by the switch in phenotypes via fecal transplantation experiments. These experiments suggest the gut microbiome is a causal factor in IBD, obesity and T2DM, although it is not clear if individual taxa or overlapping functional metabolites are the major players in disease phenotypes.

The taxonomical changes of the gut microbiota and the development of metabolic diseases have been reviewed by many [34,39,40] and will only be briefly touched upon here. The pathological change in gut environment in both IBD and MetS affects the symbiosis between the gut and microbiota, supporting a switch to species able to thrive in the highly inflamed and oxidized gut with a suppression in more strictly anaerobic microbes. What is curious is that both dysbiotic states described for IBD and MetS and their associated outcomes on species distribution are similar. Decreased richness is a common feature between IBD, obesity, insulin resistance, T2DM and NAFLD; while an increase in Proteobacteria and decrease in Firmicutes is a common trait for IBD [41], insulin resistance [42], T2DM [43], NAFLD [44] and atherosclerosis [45]. Specific examples overlapping between IBD and metabolic disorders include the decreased presence of particular Clostridium spp, Faecalibacterium and Roseburia, and increased representation by Enterobacteriaceace, Blautia and Rumminococcus [3,41,43,45,46,47,48,49,50]. Indeed, certain microbes like Clostridium spp. exert anti-inflammatory functions, promoting regulatory T cells through TGF-β release [32], an overlapping pathway in both IBD and MetS. Although this area is still under active research, increase of Escherichia coli and Fusobecaterium nucleatum species, and variations in Akkermensia muciniphila, are good examples of commonalities in IBD and MetS dysbiosis. In summary, gut microbial dysbiosis is similarly associated with the chronic immune nature of IBD and MetS.

High-Fat Diets and Dysbiosis

The most pervasive environmental influence that could provide a ‘trigger’ to susceptible genetic patterns is the food we eat. Diet, known to cause dysbiosis, is one of the environmental triggers for the onset of IBD, MetS and associated diseases. Several studies have shown that while dietary fiber promotes the growth of bacteria that have the ability to decrease or resolve inflammation [51,52], high-fat diets tend to promote low-grade inflammation that alters gut barrier function [53]. It is well established that a high-fat diet exacerbates MetS or diabetes. High levels of unsaturated fatty acids can promote production of oxidized lipid metabolites that trigger systemic inflammation [54]. High-fat diets cause intestinal inflammation as well obesity, adiposity and insulin resistance [55]. Considerable evidence suggests that high-fat diets contribute to endotoxemia [56,57]. This explains the similar increase of LPS in blood observed in patients with diabetes and obesity [55]. A high-fat diet induced colonic inflammation and increased nitric oxide synthase (iNOS) expression during LPS-induced inflammation via toll like receptor (TLR)-4 signaling [10,11,58,59]. A similar increase in TLR-4 was reported for intestinal and colonic samples of UC and CD patients [60]. Elevated TNF-α, IL-6 and iNOS are important molecular links between inflammation and insulin sensitivity. TNF-α inhibits insulin receptor substrate-1 (IRS-1), one of the first nodes of the insulin signaling pathway, by phosphorylating it at serine residues, thus inhibiting signaling downstream of insulin receptor [61,62,63]. IL-6 decreases tyrosine phosphorylation of IRS-1, and hepatic cells when treated with IL-6 experienced complete loss of Akt activation [64]. Furthermore, iNOS promotes deactivation of downstream nodes of insulin signaling pathways including Akt, IRS-1 and IR, inducing insulin resistance [17,18,65,66]. Inhibitors of iNOS improve hepatic insulin resistance in genetically obese mice, demonstrating the detrimental role of iNOS on impairing insulin signaling [67]. A study revealing high iNOS expression in pancreatic islets from diabetic individuals supported this proposition [68], which is also observed in active IBD patients [69].

Not all high-fat diets are similar in their ability to cause gut dysfunction, and diets rich in n-6 and polyunsaturated fats drive compromised gut barrier function resulting in exacerbated colitis [70,71]. In previous studies, we have shown that gut health influences the immune-metabolic system, and that the gut microbiome is adversely affected with corn oil diets rich in omega-6 polyunsaturated fatty acids [71,72,73,74]. In a recent study, we demonstrated that consumption of corn oil led to metabolic dysfunction and insulin resistance in mice compared to the beneficial olive oil [75]. In parallel, we have shown that this exact diet also promotes intestinal barrier dysfunction and systemic chronic inflammation associated with colitis [73]. We have demonstrated that feeding a corn oil diet leads to a pro-oxidative state, where pro-inflammatory microbes flourish, causing barrier dysfunction, oxidative stress, inflammation and insulin resistance [71,74,76,77]. Overall, high-fat diets rich in omega-6 polyunsaturated fatty acids may be an environmental factor that triggers dysbiosis common to IBD and MetS.

4. Consequences of Dysbiosis: Microbiome vs. Metabolome

While current evidence suggests that the gut microbiome does dictate the origin and development of IBD, MetS and related metabolic diseases, the question remains to as to how. There are two plausible broad mechanisms as to how the gut microbiome can affect systemic events. Firstly, the gut being the gateway to the entry of food as well as airborne and water borne microbes and other substances serves as the ‘gatekeeper’, alarming the system towards either a placid or an agitated response. This, in other words, is the immune-mediated pathway that has been well studied especially in the case of colitis and T2DM. In this scenario, the gut microbes themselves or toxins enter through a ‘leaky’ gut into the lymphatic or the blood evoking proximal (from the gut wall) or distal (various organs) responses via cytokines and chemokines. In support of this, several models of colitis do show a preponderance to metabolic defects (summarized in Table 1). Indeed, chemical (DSS and TNBS) [78,79] and genetically susceptible (IL-10−/−, Mdr1a−/− and Muc2−/−) [80,81,82] rodent models of IBD display gut barrier dysfunction in which an increase in pro-inflammatory cytokines and oxidative stress are part of the phenotype. In fact, the disturbances in IL-1β IL-6, TNF-α or ROS are described in the colon as well as in the liver and pancreas. For example, in the chemical DSS model, increase of those pro-inflammatory cytokines and oxidative stress evokes colon signals that reflect in metabolic defects, including decreased plasma insulin and ROS in the pancreas [83], and higher TLR4, TLR9, MCP-1 and TNF-α expression in the liver, resulting in liver fibrosis [78,84]. Further, in a model of dyslipidemia with higher circulating cholesterol, ApoE−/− mice given DSS not only resulted in the expected barrier dysfunction but also glucose tolerance impairment, liver fibrosis and exacerbated aortic plaques [85]. For the TNBS model, intestinal inflammation leads to endotoxemia, liver inflammation and increased hepatic triglycerides and cholesterol, progressing to liver damage [79,86,87]. This outcome worsened when rodents were exposed to a ‘second hit’ from high-fat diets augmenting fat deposition in the colon and liver. This pathologic cross-talk includes adipose tissue, which shows dramatic increases in inflammatory markers IL-1β, IL-6, MCP-1 and TNF-α, as well as decreased anti-inflammatory adiponectin [88]. Spontaneous colitis models display low-grade inflammation and low glucose levels (Muc2−/−) [82] but increased insulin levels (IL-10−/−) [80]. During high-fat diet exposure in the Mdr1a−/− model of colitis, disease worsens in the colon and liver [81], equivalent to the proximal and distal response proposed earlier.

Table 1.

Comparison of metabolic disturbances in chemical and genetic derived colitis rodent models.

Model Colitis Model Evidence for m 0.75 Metabolic Defects Trigger for Exaggerated Metabolic Defects
DSS DSS exposure via drinking water; low doses (e.g., <3%) lead to mild symptoms and high doses (>3%) to acute disease. The ulceration is superficial, almost restricted to the colon [95]. DSS per se does not cause liver damage [96] but alters the systemic metabolism.
LDL-C, ketone bodies and tryptophan are elevated, while glucose and amino acids are reduced in DSS-induced colitis model [83,96,97,98].
HFD (60% cocoa butter or D12492 diet) [78,84], choline deficient diet [99] or ApoE−/− [85] model worsens pre-existing colitis scores, and further induced endotoxemia, glucose impairment, liver fibrosis and steatosis.
TNBS TNBS causes transmural colitis, and it needs ethanol as vehicle for enema administrations, which also aid in disrupting intestinal barrier. Cause liver damage [79,100,101], accompanied by intestinal inflammation and endotoxemia. HFD (fat from lard) further worsens colitis scores [87,88], endotoxemia [86] and fat deposition in liver and colon [87].
IL-10−/− Spontaneous development of chronic inflammation due to exacerbated Th1 and Th17 response in the absence of the anti-inflammatory IL-10 cytokine [80]. Decrease serum glucose [80] but increases in urine [102]. Increase serum VLDL [103]. APN−/−, IL10−/− double knockout mice do not exaggerate the IL-10 deficiency induced colitis [80].
Mdr1a−/− Spontaneous development of bowel inflammation due to absence of P-glycoprotein, associated [104]. Mdr1a−/− mice are similar to their congenic background strain FVB [104] which are resistant to diet induced obesity. HFD (30.5% fat from lard) exposure only worsen IBD disease score, without affecting liver or glycemic response [81].
Muc2−/− Defective mucin secretion leads to spontaneous development of colitis [82]. Muc2−/− mice show less body weight gain and impaired glucose homeostasis [82]. HFD (59% fat, mostly from lard) does not worsen glucose intolerance but induces the fat deposition in the liver [82].

APN: adiponectin; DSS: dextran sulfate sodium; ApoE: apolipoprotein E; HFD: high-fat diet; LDL-C: low-density lipoprotein cholesterol; Mdr: multidrug resistance protein; Muc2: mucin2; TNBS: 2,4,6-trinitrobenzene sulfonic acid.

In the second scenario, the gut microbiome could act as a ‘facilitator’ enhancing and protecting against metabolic dysfunction in the liver and pancreas or instead expediting pathology. The surface area of the human gut is approximately 300 m2 and is a hotbed for production of diverse metabolites from various dietary substrates like proteins and digestible and indigestible carbohydrates like fibers. The nature of the gut is emphasized by the fact that each area of the gut is specialized with specific enterocytes with varying metabolic functions. As an example, while the small intestine is primarily involved in the digestion of food and absorption of nutrients, the large intestine is primarily involved in water absorption and elimination of waste. As diverse enzymatic reactions need specific pH ranges, the gut also demonstrates variations across its length, which might indicate specific metabolite production across these areas. Duodenal pH is raised to around 6, from 2 in the stomach, with the help of bicarbonate buffers from the pancreas. The pH keeps rising and eventually reaches 7.4 in the terminal ileum. Subsequently, the pH drops to 5.7 in the cecum and ends at 6.7 in the rectum [89]. While the host-driven pH ranges might dictate a niche of various microbes, differentiating species among a certain taxa can be challenging due to the complexity of the intestinal environment [90]. Acidic environments (pH~5.5) promote fiber fermentation and butyrate, a short-chain fatty acid (SCFA) producing species. In addition, a low pH environment inhibits the activity and secretion of proteolytic enzymes, therefore slowing down the protein/amino acid metabolism in the gut [91]. Intraluminal pH in patients with IBD (UC and CD) is higher than that in healthy individuals, which inhibits colonization of butyrate-producing bacteria and slows down fermentation of fibers [92,93]. This, in turn, promotes a widely different microbial niche that may lead to chronic diseases. In this regard, although UC and CD have distinct inflammatory responses and metabolic pathways, they both have increased Firmicutes (as described for T2DM) [41]. However, Bacteroidetes have inconsistent performance in UC and CD [94]. Clinical studies indicate that the ratio of Firmicutes to Bacteroidetes can be used as the clinical marker of IBD incidence. Considering the shift of the intestinal environment results in bacterial alteration, the output of metabolites may, therefore, be affected as well.

Despite informative metagenomic analysis, the science of correlating pseudo-pathways with the actual metabolic signature is still in its infancy. In addition, differentiating between host and microbial metabolites is challenging. As an example, there is no chemical difference in NADPH or butyrate produced by microbes or the host cell, both of which need the molecule as a reducing equivalent. Thus, as fundamental molecules of life are common, it is even more probable that multiple microbes instead of a single microorganism drive specific metabolic signatures. To support this, a plethora of studies that replicate disease phenotypes from humans into mice after receiving fecal microbiome transplants from patients [34] have shown the need of the entire microbiome, including many taxa and their metabolites, to drive the disease. As it is difficult to relate an entire disease phenotype to only one microbe, studying a particular metabolite, albeit produced by multiple taxa, might be more suitable to decipher the disease process.

Moving away from microbe-centric causality of chronic diseases to a metabolite-specific pathway sheds light on the enigma of the biome, as metabolites produced by a single species, or multiple microbes, might signal the harbinger of chronic diseases. There are several gut-derived metabolites shared between IBD and MetS (Table 2). As examples, Gram-negative bacterial products such as LPS, long associated with sepsis, are now being studied in NAFLD [105]. Novel dietary choline-derived microbial metabolites like trimethylamine N-oxide (TMAO) are being investigated as a pathological trigger in cardiovascular disease, a direct consequence of MetS [58]. As analysis and discovery of metabolites becomes more sophisticated with greater resolving power and clarity through advances in analytical instrumentations like mass spectrometry, inter-connectivity of diverse chronic diseases is becoming clearer. Such discoveries are also being facilitated by the use of germ-free mice vs. conventionally raised mice. Now we can discern how the microbiota influences host-circulating metabolites [106], feces metabolites [107] and certainly gut metabolites [108]. These studies help us understand which metabolites are host derived and which are microbial derived. For example, the amino acids tryptophan, phenylalanine and tyrosine are present at higher concentrations in the serum of germ-free mice, whilst their metabolites serotonin and phenylacetylglycine are increased in conventional mice [106].

Table 2.

Clinical and rodent studies assessing the role of gut-derived metabolites commonly involved in the pathogenesis of inflammatory bowel disease and co-morbid metabolic defects.

Metabolites Clinical Importance Roles in IBD Roles in Metabolic Disorders
Human Rodent Human Rodent
BCAA
(Leucine, Isoleucine, and Valine)
Maintain the protein synthesis and muscle growth [110].Ensure the intestinal integrity and immune response [111]. Increase the development and severity of pre-existing colitis [112].
Increase (high dose, >2.57%) intestinal immune response [112,113] by activating mTOR and NF-kB [114].
Worsen DSS-induced colitis following the diet containing animal-based protein [115].
May increase the severity of chemical-induced colitis through excessive activated colonic macrophages [116].
Promote systemic oxidative stress and the activation of inflammasome, leading to extensive intestinal inflammation [117].
Remodel lipid metabolism (increase LDL-C and triglycerides).
Increase the risk and development of CVD [118,119], obesity [120,121,122], insulin resistance [122,123] and hepatic diseases [121,124].
Induce body weight gain, hyperglycemia, insulin resistance and accumulation of hepatic lipid droplets [125].
Impair insulin sensitivity, cardiac function (EF%) in mice received transverse aortic constriction [126].
Tryptophan metabolites Provide indirect assistance on maintaining intestinal permeability and epithelial integrity [127]. Decrease in serum of patients with UC [128,129] and CD [128,130].
Stronger potential of tryptophan degradation in active IBD cases [128].
Attenuate severity of DSS-induced colitis by limiting the secretion of inflammatory markers [131,132].
Serve as a treatment (IPA) of active IBD remission in mice by enhancing anti-inflammatory responses [133].
Provide intestinal antifungal resistance by producing IL-22 [134].
Negatively correlates to insulin deficiency and glucose imbalance in diabetes patients [135].
Reduce serum tryptophan [136] and IPA [137] in patients with obesity and T2D.Improve overweight correlated inflammatory response [134].
Reduced body weight gain (IPA), improved glucose metabolism and insulin resistance in obese mice [138,139].
Ameliorate active colitis cases by enhancing T-cell dependent immunity and upregulating AhR [140].
Improve insulin sensitivity, glucose homeostasis and energy regulatory hormones (e.g.,: leptin and GLP-1) [141].
Protect against intestinal permeability and systemic immunity [142].
SCFA Control systemic energy metabolism and regulate intestinal immune response [143]. Prevent incidence and development of IBD (butyrate and propionate) [144,145].
Increase risk of IBD (acetate and pyruvic) [146].
Enhance anti-inflammatory potential (butyrate), therefore improving the pre-existing IBD [147].
Improve IBD by suppressing T-cell mediated inflammatory responses (butyrate) [148].
Protect against colitis susceptibility and improve intestinal permeability in DSS-induced colitis model [149].
Provide protection on developing insulin resistance, obesity and diabetes (butyrate and propionate) [150].
Improve severity of obese, insulin resistance, diabetes and glucose homeostasis (propionate) [151,152].
Negatively correlates with hypercholesterolemia (butyrate) [153].
Protect against high fat-feeding induced liver steatosis and insulin resistance in mice and rats [154,155,156,157,158,159].
Bile acid Maintain enterohepatic circulation, systemic energy homeostasis and the balance of gut bacterial community [160]. Decreased bile-acid transforming bacteria in IBD patients [161,162].
Negatively correlate with CD (SBA and conjugated bile acids), but not UC [1,4,5,163].
SBA and conjugated bile acids can be restored by applying anti-TNF-α treatment [164].
Protect against epithelial permeability and goblet cell loss by activating FXR-α [165,166].
Improve anti-inflammatory response by maintaining RORγ+ regulatory T cells in IBD mice [167].
Accumulate in patients (mostly primary bile acid) with liver dysfunction (hepatic steatosis, lobular and portal inflammation) [168] obesity [169] and diabetes [170], with interrupted bile acid negative feedback loops via FXR-α [143,160]. Improve hepatic glucose metabolism and insulin resistance by upregulating FXR-α [164].
Improve insulin resistance [171] and lipid metabolism [172] via anti-obesity receptor in mice model with metabolic stress.
TMA/TMAO Classic risk factor on inducing chronic diseases [173]. Positively correlates with active UC and CD cases [174]. Indicate disrupted gut bacterial ecology by overexpressing choline associated catabolic enzymes [175].
Accelerate the progression of IBD in colitis mice models [175,176].
Indicate the risk, incidence [177,178,179] and mortality rate [180] of cardiovascular diseases
Increase platelet responsiveness [174].Increase the incidence of insulin resistance [181] and T2D [178].
Increase aortic lesion, platelets responsiveness [165,167], and microbiota dependent atherosclerosis [176] in mice supplemented with TMAO.
Increase inflammatory biomarkers (e.g., NF-kB) [59], hyperglycemia [182].Induce the formation of ox-LDL [165] and NAFLD through disrupted choline metabolism [183].

5. Gut-derived Metabolites: Assessing biochemical commonality between IBD and MetS

Much research needs to be done to understand the biochemical parallels between IBD and MetS metabolic signatures in any depth. The disturbed environmental niche in the colon also marks a higher incidence of IBD and obesity [42]. Obesity correlates to many metabolic disorders, but typically marks the imbalanced energy metabolism, especially lipid and glucose. In this section, we will focus on known metabolites that shift in their abundance, which could provide a starting point in further understanding the ‘gatekeeper’ or ‘facilitator’ role of dysbiosis in these diseases (Table 2). The connection between the dynamic metabolites secreted by the IBD gut microbiota and the development of MetS can be addressed by studying their impact on extra-intestinal tissues. Comprehensive reviews of the liver–gut axis [109] are some examples of the extensive literature explaining the most recent connections found between host physiology and microbiota.

5.1. Bile Acid

The liver is often the entry point of various oral substances systemically, including nutrients, which is connected anatomically to the gut through the portal vein representing the enterohepatic circulation. Bile acid metabolism has been widely studied for decades, with the primary bile acid (classic pathway) synthesized in the liver, whereas the secondary bile acid (SBA; alternative pathway) is produced in the large intestine by bacteria [184]. Around 95% of the primary bile acids are recycled back to liver through hepatic portal circulation. The remaining 5% primary bile acids move down to the distal ileum and are absorbed by enterocytes for further processing by the gut microbiome. Numerous clinical studies have disclosed the positive relations between SBA and gut health. Both malabsorption of primary bile acid and hepatic disorders lead to disrupted SBA production as a result of dysbiosis. However, bile acid metabolism and the bacterial community are mutually regulated. When compared to healthy individuals, IBD patients had lowered SBA profile, but higher primary [185] and sulfated bile acids in feces [186]. This observation is also accompanied by a significantly decreased ratio of Faecalibacterium prausnitzii and E. coli, which has been widely considered to be the biomarker of dysbiosis.

Step one of SBA metabolism is deconjugation through bile salt hydrolase (BSH). Of the microbial community, Firmicutes is believed to have the most abundant and active form of BSH enzymes, followed by Bacteroidetes and Actinobacteria. Firmicutes and Actinobacteria are able to degrade all types of primary bile acids, whereas Bacteroidetes are only active regarding tauro conjugated bile acids [187]. Gut dysbiosis impairs the microbial community, which significantly reduces the capacity of this BA modification before entering into the large intestine. Efforts to reshape the bacterial community of IBD patients by introducing Lactobacillus reuteri (NCIMB 30242) has been attempted [185]. Lactobacillus reuteri is a known strain that equips bacteria-bearing BSH, which is essential to deconjugate primary bile acid. Nine-week administration of Lactobacillus reuteri improved SBA production of IBD patients, compared to the placebo group [185]. Unconjugated bile acids are passively reabsorbed to synthesize SBA in the large intestine. The following transformation and desulfation are processed by hydroxysteroid dehydrogenases (HSDs), which are largely produced by Clostridium genera. In other words, bacterial teamwork deconjugated and transformed primary bile acid to SBA more efficiently [162].

One other way how bile acid metabolism has shown to affect both IBD and metabolic syndrome is through farnesoid X receptor (FXR), which is present in both the liver and the intestine. FXR regulates glucose sensitivity, hepatic lipid homeostasis and also bile acid [188,189]. Primary bile acid binds to hepatic FXR, stimulating the downstream response of fibroblast growth factor 19 (FGF19). FGF19 and FXR co-regulate the homeostasis of primary bile acid production. FGF19 inhibits the synthesis of primary bile acid from cholesterol in the liver. Activated FXR is shown to inhibit lipogenesis through regulating the expression of SREBP1. Deletion of FXR in mice altered microbiome composition, with dramatically decreased Firmicutes in particular. Proteobacteria, instead, are dominant in the gut [190]. This interrupted microbiome community significantly affected the production of SBA by blocking production of Firmicutes derived BSH. As a result, FXR−/− mice had decreased weight gain but developed hepatic inflammatory diseases such as NAFLDs and steatosis [191]. Antibiotics attenuate hepatic inflammatory responses by inhibiting Proteobacteria colonization in FXR−/− mice exposed to a normal chow diet [190]. Similarly, FXR agonist (INT-747) reversed and attenuated symptoms of IBD in a chemical-induced colitis mice model. Increased FXR expression alleviated mice colitis by suppressing inflammatory responses with decreased expression of pro-inflammatory markers such as IL-6 and TNFα [166]. Curiously, compared to healthy individuals, patients with IBD and other metabolic disorders such as diabetes [192] accumulate bile acid and have less active bile acid detoxifying activity by inhibiting the FXR-associated energy metabolism [192,193]. Patients with metabolic disorders such as diabetes, hepatic diseases and atherosclerosis all indicate decreased FXR expression in the liver and gut [194]. FXR is the key to ensure the activity of mitochondrial function by reducing oxidative stress and provoking the expression of AMPK and PPAR-γ [195,196]. Overall, FXR plays as the core energy metabolic factor to regulate systemic energy homeostasis. Its activation stimulates FGF19 in the intestine, which regulates the bile acid pool by controlling bile acid synthesis in liver.

5.2. Short-Chain Fatty Acids

Short-chain fatty acids (SCFAs) are fatty acids with a carbon length of 10 or less. Straight-chain SCFAs are derived from indigestible carbohydrates, amino acids and host-derived glycoproteins, whereas branched-chain amino acids are the source of generating branched-chain SCFAs [197]. The most abundant SCFAs include acetic acid (C2:0) followed by propionic acid (C3:0) and butyric acid (C4:0). Various carbon-chain lengths determine the diversity of metabolic pathways that are mediated by different genera of intestinal bacteria. It is believed that Bifidobacterium spp. primarily produce acetate, whereas Akkermansia muciniphila can produce both acetate and propionate [198]. However, the list of bacteria that can metabolize butyrate is much longer, with most of the species belonging to phylum Firmicutes [198]. It is worth noting that other SCFAs such as valeric acid and caproic acid are also closely associated with chronic disorders [199,200]. For example, valeric acid, together with butyric acid, showed to protect against colitis and CVD by suppressing histone deacetylase, which is a risk factor for inducing IBD and MetS [201]. Intestinal SCFAs can enter enterohepatic circulation to regulate lipid and glucose homeostasis in gene and hormone manners. Glucagon-like peptide (GLP-1) and peptide YY (PYY) are two major nutrient-stimulated hormones that are released from enteroendocrine L cell in the colon, where SCFA production is at a higher level [202,203]. The production of GLP-1 and PYY is driven by SCFA-associated G coupling protein, which will be discussed later. It has been well studied that GLP-1 and PYY both control energy intake. Patients with metabolic syndrome such as diabetes and heart diseases typically have reduced GLP-1 and PYY in circulation [204]. One study showed that SCFA and GLP-1 levels remained low in hyperinsulinemic patients. These patients were intervened with a high-fiber diet for one year to try to increase SCFA production. After one year, dietary intervention improved insulin sensitivity, with elevated SCFA production and circulatory GLP-1, compared to the low-fiber diet group [205]. SCFA supplementation (butyrate) also showed to improve NAFLD and insulin resistance [156].

High-fat diet is another risk factor for provoking IBD and MetS, as we discussed earlier. Mice exposed to either high-fat or high-sugar diets have reduced SCFA [206]. Our group [75] and many other groups [207] have demonstrated the role of HFD on stimulating metabolic disorders such as NAFLD, CVD and diabetes. HFD disrupts the shape of intestinal bacteria, as a result of reducing SCFA production and increasing gut permeability [206,208]. Simultaneously, HFD also interrupts energy metabolism, which induces systemic inflammation, insulin resistance, dyslipidemia as well as the corresponding MetS. In summary, regardless of disease type, maintaining SCFA and its derived hormone are the central role in ensuring energy homeostasis, therefore reducing the risk of MetS and IBD.

5.3. G protein-Coupled Receptors

Many studies have demonstrated that SCFAs improve glucose and lipid homeostasis via regulating G protein-coupled receptors (GPCRs). GPCRs are the receptors that directly regulate SCFA metabolism such as the production of GLP-1. Two major GPCRs, GPCR40 and GPCR43, sense the concentration of colonic SCFAs, which further stimulate the release of GLP-1 and PYY from the L cells. GLP-1 and PYY are hormones that control appetite. GLP-1 stimulates the production of insulin in starvation, which has been well-studied as an anti-diabetic target. Patients with UC have decreased sensitivity of glucose with significantly reduced GLP-1 production [209]. Hence, GLP-1 agonist has long been researched as the therapeutic target on attenuating metabolic disorders such as diabetes. It is the FDA approved medication for patients with T2DM to reduce blood pressure, lipid accumulation and improve insulin resistance [210,211]. Similar to glucose, dietary fatty acid metabolism is also highly determined by the production of intestinal SCFAs. Many studies have reported that acetate and butyrate control hepatic lipogenesis [35]. However, patients with NAFLD and NASH have higher production of acetate and propionate, but decreased butyrate, compared to healthy individuals [120]. This is believed to be the result of modification of bacterial diversity. Therefore, restoring microbial community may help to re-establish intestinal homeostasis.

5.4. Trimethylamine N-Oxide

Trimethylamine N-oxide (TMAO) was one of the first gut-bacterial derived metabolites recognized to be involved in the pathophysiology of cardiovascular disease (CVD). Gut bacteria catabolize choline and L-carnitine into trimethylamine (TMA), which is further oxidized in the liver to trimethylamine-N-oxide [176]. The seminal study by Wang and collaborators (2011) demonstrated how TMAO plasma levels significantly correlated with CVD (three independent studies with more than 2000 samples from different subjects, p < 0.01) [58]. More importantly, the study went from correlation to causation when mice fed phosphatidylcholine (source of choline and precursor of TMA) displayed increased levels of TMAO in an obligate bacterial-dependent manner and with subsequent development of atherosclerotic lesions [58]. This approach was also used for determining L-carnitine bacterial metabolism as a source of TMAO and, hence, another trigger of CVD [176]. Interestingly, high levels of TMA/TMAO have been found in IBD patients [174] and in the animal models of colitis DSS and IL-10−/− [102]. This may be enhanced by the increased levels of carnitine associated with the oxidized environment of gut in IBD [212]. Conversely, TMAO levels appear to be lower in the plasma of IL-10−/− mice [103], which can reflect either liver damage (necessary for TMA oxidation) or the dependence of certain interaction between host and gut bacteria, not present in the experiment reported. As summarized in Table 2, TMAO also correlates with glycemic response impairment [182] and NAFLD [183].

5.5. Tryptophan Metabolites

Tryptophan is an essential amino acid, being the only with an indole structure (a benzene ring fused to a pyrrole ring) [213]. It is acquired from the diet, and it is mainly absorbed in the small intestine, but still, a fraction of the amino acid reaches the colon where is catabolized to indole metabolites by the gut bacteria [213]. Tryptophan has attracted attention in recent studies due to its correlation with disease status in animals and humans. High concentration of tryptophan has been found in serum samples from rodent models of IBD [97], as well as in feces from patients with CD [214]. This association could be related to dysbiosis, since bacteria aid in tryptophan transformation into important metabolites such as serotonin. However, there is more literature related to the protective role of tryptophan on IBD development, where even oral administration of tryptophan reduced disease severity in piglets and mice [131,132]. In fact, a large cohort study in UC and CD patients revealed a negative correlation between serum tryptophan levels and disease activity, reporting that responders to Infliximab show higher levels of tryptophan when compared to controls [215,216]. However, these last two studies work in different samples (feces for the former and serum from the later). Whilst a more recent study positively correlated increased kynurenic acid (tryptophan derived metabolite) with IBD severity [217], meaning that the low concentration of serum tryptophan responds to an increased gut metabolism along with inadequate absorption of tryptophan by epithelial cells.

More conclusive knowledge about the role of tryptophan metabolites in IBD relies on indole-propionic acid (IPA). This metabolite is produced by many gut bacterial species [218], and it has been associated with benefits in both IBD and MetS. Serum levels of IPA have been reported to correlate with IBD and MetS. For IBD, a study in 35 patients with UC found a 60% reduction of IPA in serum from patients with active UC when compared to healthy controls (p < 0.05) [133]. Regarding MetS, a study in 1018 patients reported strong, negative association of IPA levels with arterial stiffness, fasting glucose, insulin resistance and visceral fat (p < 0.05) [218]. Furthermore, indole levels also correlated negatively with liver fat deposition [219].

Beyond these associations, experimental studies with tryptophan metabolites have shown to enhance barrier function through goblet cell stimulation [220,221], acting on L cells and promoting the release of the incretin GLP-1 [218,222], exerting antimicrobial effects, and further inflammatory attenuation through activation of aryl hydrocarbon receptor (AhR) [220,223]. AhR is a transcription factor present in immune cells, and its stimulation via indoles leads to differentiation of CD4+ T cells into regulatory T cells (Treg), which exert anti-inflammatory functions [213], in this scenario through IL-22 secretion. Indeed, the administration of indoles in mice exposed to HFD as model of NAFLD protected them from liver damage and alleviated glucose parameters [219,224]. In rats, a single exposure to indoles improved plasmatic glucose and insulin levels [138]. Furthermore, two independent studies were able to describe the protective role of microbial-derived indoles in pre-clinical and clinical colitis and MetS [133,222]. Lastly, the protective role of indole metabolites is closely related to the SCFA butyrate, since the increase of IL-22 promotes butyrate-producing bacteria [220], and butyrate has been proposed to act as an AhR ligand too [225].

5.6. Branched-Chain Amino Acids

Another important set of metabolites connecting the gut microbiome with IBD and MetS is branched-chain amino acids (BCAAs), which are amino acids that have an aliphatic side-chain with a branch including leucine, isoleucine, valine and 2-aminoisobutyric acid. Interestingly, a study in pigs fed inulin, a non-digestible carbohydrate, improved cholesterol and glucose levels. Also, metabolomics analysis revealed significantly lower plasma levels of BCAAs, indicating a positive correlation with increased cecal beta-diversity [226]. In T2DM patients, a short-term dietary reduction of BCAAs modified the fecal microbiome, resulting in enriched Bacteroidetes and decreased Firmicutes [227]. This finding may correlate with changes in amino acid fermentative microbe genera such Clostridium, which disturbances have been reported for both T2DM [228] and IBD [105]. Analysis of normal, inflamed and dysplastic human colon tissue revealed differences related to BCAA in inflamed tissue [229]. In another study comprising fecal samples from pediatric patients recently diagnosed with IBD, differences in BCAAs (only valine and leucine), aromatic amino acids (phenylalanine and tryptophan), serine and histidine were significantly increased [230]. These clinical findings could be related to the importance of BCAAs in gut barrier integrity, since an increase in BCAA metabolism pathway (specifically leucine and valine enriched levels) has been associated with increased expression of mucins and tight junctions proteins in piglets [231]. Trying to merge these findings with MetS seems contradictory, since increased levels of circulating BCAAs are correlated to insulin resistance. In fact, patients undergoing bariatric surgery, which improves insulin resistance, show decreased circulating levels of BCAAs [232]. However, when BCAAs are administered to rats, they need to be on HFD in order to reproduce the insulin resistance phenotype [123]. An explanation to this lies in the fact that BCAAs can interfere with insulin signaling via phosphorylation of IRS1 [233]. Serine phosphorylation of IRS1 can minimize its activity and weaken insulin signal transduction [234]. Taken together, BCAA metabolism seems to be protective for IBD whilst is strongly associated with insulin resistance. The connection between these contradictory functions may be related to the inflamed gut, trying to sustain the gut barrier and meanwhile causing the oxidative stress behind insulin resistance onset.

6. Insulin Synthesis and Action

One of the cornerstones of MetS and the diabetic state is deficient insulin action, which arises due to a lack of insulin itself (type 1 and late type 2) or its effectiveness (early type 2). The most studied role of the gut microbiome is the “leaky gut” hypothesis. This suggests that microbial dysbiosis, a common finding in MetS [235], mediates a disrupted intestinal barrier function, which can lead to the translocation of pathogens and can eventually result in inflammation and insulin resistance. Gut dysfunction allows leakage of LPS into the circulatory system and leads to a chronic state of inflammation and endotoxemia [236], which results in impaired insulin secretion in pancreatic β-cells [237], pancreatitis and pancreatic cancer [238].

As both of these types of diabetes lead to glucose insensitivity, many metabolic signatures are similar as well as dissimilar [239]. The first factor that connects the gut to insulin secretion is the gut-derived metabolite-driven secretion of regulatory hormones like GLP-1 and gastric inhibitory peptide [135], collectively known as incretins [240]. An interesting study demonstrated that when germ-free mice were administered microbes from two different strains of mice showing varying insulin responses to glucose, the insulin release patterns of these two strains were transferred to the germ-free mice, signifying the critical role of the microbiome in insulin release [241]. Besides release, insulin synthesis is also influenced by microbial metabolism. As an example, increased acetate production induced by a HFD modulated the microbiome and promoted increased glucose stimulated insulin secretion in rodents [242]. Also, the production of cathelicidin-related antimicrobial peptide (CRAMP), a factor that protects β-cells of non-obese diabetic mice (NOD) from autoimmune diabetes and decreases expression of pro-inflammatory cytokines [243], is regulated by microbial metabolism.

Acute pancreatitis represents inflammation of the pancreas that often leads to β-cell failure and precedes the development of type 1 mellitus (T1DM) and T2DM. A multihospital clinical trial revealed drastically different gut microbiomes in both mild and severe acute pancreatitis patients [244]. In experimental models, such findings are confirmed, as decreased microbiome diversity is noted in surgically induced acute necrotizing pancreatitis as compared to sham operated rats [245]. Acute pancreatitis has also been associated with lower diversity of the gut microbiome with an increase in Bacteroidetes and fewer Firmicutes in another study [246]. A dysfunctional gut barrier can propagate acute pancreatitis further as well. In this regard, patients with acute pancreatitis have higher plasma endotoxin and pro-inflammatory cytokines such as TNFα, IL-6, IL-10 and IL-8, along with increased intestinal permeability as compared to healthy volunteers, further strengthening results observed in murine models [247].

Insulin signaling in MetS can also be altered with dysbiosis. Heightened circulating LPS induces iNOS expression which promotes S-nitrosylation of Akt, IRS-1 and insulin resistance, deactivating nodes crucial to insulin signaling [65,66]. A study conducted on isolated human pancreatic islets from diabetic subjects and non-diabetics revealed significantly higher iNOS expression in the former [68]. Similarly, active IBD patients and healthy controls recapitulated this with higher iNOS expression in the former group [69]. Parallel increased iNOS expression has also been reported in rat models of IBD [248], pancreatic cancer [249] and acute pancreatitis [250,251]. Thus, it is obvious that enhanced iNOS expression represents a common critical point in the development of both IBD and MetS.

Along with T2DM, microbiome studies in T1DM are constantly emerging. Clinically, T1DM has been associated with dysbiosis in children [252] as well as excessive antibiotic exposure in infants, which disrupts gut microbes [253]. A study done in infants concluded that communal diversity decreases and inflammatory metabolites and pathways increase even before the onset of T1DM [254]. In animals, antibiotic administration to NOD mice early in ontogeny during fetal and postnatal life increased incidence and progression of T1DM along with disruption of gut microbiota composition [255]. This outcome is somewhat expected, since the microbiome is involved in shaping and maintaining a balanced immune response since early in life [41]. In another study, fecal oral transplantation of NOD microbiome, a diabetogenic microbiome accelerated insulitis in non-obese resistant (NOR) mice, and antibiotic treatment further increased T1DM incidence in NOD mice. Antibiotic-induced diabetes was not only associated with microbial dysbiosis but also with altered SCFA production [33]. These two events are an excellent example of the preponderant protective role of the microbiota not only by its mere presence but further by its metabolites.

7. Microbiome-based Therapeutics as a Potential Intervention for IBD and Comorbid MetS

Gut-derived metabolites, shaped by the microbial ecosystem residing in the gut, serve as a potential common origin connecting IBD, MetS and associated diseases like T2DM. When treating IBD, targeting comorbidities via shared pathways should be a consideration for therapeutic interventions. The microbiome-derived metabolites comprise the main focus here, and modulating the microbiome composition using various therapies including antibiotics might be a potential solution. However, as highlighted by Kostic and collaborators (2014), even when antibiotics aid in IBD remission (specifically for pouchitis), this is not a ‘one-size fits all’ approach, since it may backfire by promoting enrichment of harmful or antibiotic-resistant species, and more importantly it may affect metabolic signatures in still unknown ways. From this perspective, the addition of beneficial microorganisms through the development of microbiome-based interventions, like fecal transplantation and well rationalized and designed oral probiotics, is promising [256]. Whilst fecal transplants are actively being studied as a clinical option for the treatment of UC as well as obesity and T2DM, it is still controversial and challenging since identifying appropriate donors is difficult. On the other hand, probiotic therapy represents a widely accepted way to restore gut health [257]. Some of the benefits reported for probiotic intake rely on its ability to promote a direct increase in beneficial gut microbiota metabolites [257], whilst others promote the secretion of antimicrobial compounds [258], thus protecting against pathogens. Furthermore, certain probiotic strains can enhance or suppress [259,260] the immune response in favor of the host. Overall, however, a somewhat narrow range of probiotics are commercially available and viewed as a one-size fits all model. Despite the potential health benefits of probiotics, there are limitations. Although many probiotics have been isolated from stool samples of healthy individuals, their consumption does not result in stable gut colonization [261]. Colonization resistance is the mechanism by which the native microbiome protects itself from invasive microbes [262] or probiotics [263]. This resistance may be the primary reason why most probiotics cannot readily occupy space in the gut [264]. Indeed, currently available probiotics are not clinically effective for IBD [265,266] or produce conflicting results [267,268,269]. Similarly, while it has also been proposed that probiotics can be of benefit to reduce insulin resistance [270] and help weight control [271], this has not been clinically proven. A focus on probiotic benefits that are metabolite derived could also be effective, considering Lactobacillus reuteri has been reported to secrete AhR ligands and aid in the metabolism of SBA. For most of these protective effects to occur, probiotics must effectively colonize and persist in the gut [272], which may be unlikely given that gut inflammation is so pervasive in these conditions [185,213]. Given the prominent role the gut microbiota plays in IBD and insulin resistance, discovering new strains of beneficial bacteria targeting gut inflammation or genetically engineering probiotics as bugs as drugs, targeting common metabolites may revolutionize IBD treatments that decrease symptoms in the gut but also the associated metabolic diseases.

8. Conclusions

Classically, the relationship between MetS and IBD has not been investigated, as lack of proper gut function in IBD hampers nutrient absorption and, hence, presents an unlikely view of developing MetS, commonly associated with nutrient overexposure. This conundrum exists definitely among untreated/undiagnosed IBD patients that often present with a low BMI and, thus, might not present classic symptoms of MetS. However, as recognition of IBD has increased and most patients in North America are being treated, being underweight has become less of an issue. Similarly, as MetS moves away from chronic nutrient overexposure to inflammation as being the root cause, comorbid experiences with other inflammatory diseases like IBD are being increasingly recognized. In light of the aberrant microbiome being a key culprit between both diseases, it is time to perhaps consider these two very different diseases as being two sides of the same coin. The connections between IBD and MetS are multiple, and further studies directed towards understanding the role of microbial dysbiosis, one of the root causes of bacterial infiltration induced inflammation connecting IBD and MetS, are needed. So far, the dysbiotic gut appears to sculpt the inflammatory environment in the gut through decrease in the anti-inflammatory metabolites such as butyrate, IPA and SBA and constitute increase in the pro-inflammatory BCAAs and TMAO. As described in the text, this combination may have a powerful and detrimental effect on the gut barrier, extending the wave of adverse events to induce metabolic defects in the liver and pancreas, including increased liver lipogenesis and insulin impairment in the pancreas. These may not stop there, as both organs communicate back to the gut, setting detrimental loops for the host. Experimental data supporting this includes mice models where oral insults lead to gut and liver defects. In humans, these observations are increasing, and as omics studies continue to generate data, the connections between IBD and metabolic disturbances will be clearer and easier to address. Lastly, we would like to stress the burden and importance of IBD and MetS as life-long diseases. Although a long-term cure with no detrimental aftermath is the ultimate goal, no rationale advance can be developed until we include the microbiome and its metabolites as major players of our healthy or diseased status.

Author Contributions

A.V.-M., S.G. and D.L.G. designed the idea and structure of the review; A.V.-M., H.D., J.Y., S.G. and D.L.G. drafted, edited, revised and approved the review. All authors have read and agreed to the published version of the manuscript.

Funding

A.V. is funded by a PhD scholarship from Consejo Nacional de Ciencia y Tecnología (CONACYT). S.G. is funded through grants from the Natural Sciences and Engineering Research Council. D.L.G. is funded through grants from NSERC, the Michael Smith Foundation of Health Research and Crohn’s and Colitis Canada.

Conflicts of Interest

The authors declare no conflict of interest.

References

  • 1.O’neill S., O’driscoll L. Metabolic syndrome: A closer look at the growing epidemic and its associated pathologies. Obes. Rev. 2015;16:1–12. doi: 10.1111/obr.12229. [DOI] [PubMed] [Google Scholar]
  • 2.Saklayen M.G. The global epidemic of the metabolic syndrome. Curr. Hypertens. Rep. 2018;20:12. doi: 10.1007/s11906-018-0812-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Morgan X.C., Tickle T.L., Sokol H., Gevers D., Devaney K.L., Ward D.V., Reyes J.A., Shah S.A., LeLeiko N., Snapper S.B. Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment. Genome Biol. 2012;13:R79. doi: 10.1186/gb-2012-13-9-r79. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Abbas A.K., Lichtman A.H., Pillai S. Cellular and Molecular Immunology E-Book. Elsevier Health Sciences; Amsterdam, The Netherlands: 2011. [Google Scholar]
  • 5.Jairath V., Feagan B.G. Global burden of inflammatory bowel disease. Lancet Gastroenterol. Hepatol. 2020;5:2–3. doi: 10.1016/S2468-1253(19)30358-9. [DOI] [PubMed] [Google Scholar]
  • 6.Kaplan G.G., Ng S.C. Understanding and preventing the global increase of inflammatory bowel disease. Gastroenterology. 2017;152:313–321. e312. doi: 10.1053/j.gastro.2016.10.020. [DOI] [PubMed] [Google Scholar]
  • 7.World Health Organization The Top 10 Causes of Death: Major Causes of Death. World Health Organization. [(accessed on 15 July 2014)];2016 Available online: http://www.who.int/mediacentre/factsheets/fs310/en/index2.html.
  • 8.Alatab S., Sepanlou S.G., Ikuta K., Vahedi H., Bisignano C., Safiri S., Sadeghi A., Nixon M.R., Abdoli A., Abolhassani H. The global, regional, and national burden of inflammatory bowel disease in 195 countries and territories, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet Gastroenterol. Hepatol. 2020;5:17–30. doi: 10.1016/S2468-1253(19)30333-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Benchimol E.I., Mack D.R., Guttmann A., Nguyen G.C., To T., Mojaverian N., Quach P., Manuel D.G. Inflammatory bowel disease in immigrants to Canada and their children: A population-based cohort study. Am. J. Gastroenterol. 2015;110:553–563. doi: 10.1038/ajg.2015.52. [DOI] [PubMed] [Google Scholar]
  • 10.Jurjus A., Eid A., Al Kattar S., Zeenny M.N., Gerges-Geagea A., Haydar H., Hilal A., Oueidat D., Matar M., Tawilah J. Inflammatory bowel disease, colorectal cancer and type 2 diabetes mellitus: The links. Bba Clin. 2016;5:16–24. doi: 10.1016/j.bbacli.2015.11.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Maloy K.J., Powrie F. Intestinal homeostasis and its breakdown in inflammatory bowel disease. Nature. 2011;474:298–306. doi: 10.1038/nature10208. [DOI] [PubMed] [Google Scholar]
  • 12.Maachi M., Pieroni L., Bruckert E., Jardel C., Fellahi S., Hainque B., Capeau J., Bastard J. Systemic low-grade inflammation is related to both circulating and adipose tissue TNF α, leptin and IL-6 levels in obese women. Int. J. Obes. 2004;28:993–997. doi: 10.1038/sj.ijo.0802718. [DOI] [PubMed] [Google Scholar]
  • 13.Marti A., Morell-Azanza L., Rendo-Urteaga T., García-Calzón S., Ojeda-Rodríguez A., Martín-Calvo N., Moreno-Aliaga M., Martínez J., Azcona-San Julián M. Serum and gene expression levels of CT-1, IL-6, and TNF-α after a lifestyle intervention in obese children. Pediatric Diabetes. 2018;19:217–222. doi: 10.1111/pedi.12561. [DOI] [PubMed] [Google Scholar]
  • 14.Furet J.-P., Kong L.-C., Tap J., Poitou C., Basdevant A., Bouillot J.-L., Mariat D., Corthier G., Doré J., Henegar C. Differential adaptation of human gut microbiota to bariatric surgery–induced weight loss: Links with metabolic and low-grade inflammation markers. Diabetes. 2010;59:3049–3057. doi: 10.2337/db10-0253. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Argollo M., Gilardi D., Peyrin-Biroulet C., Chabot J.-F., Peyrin-Biroulet L., Danese S. Comorbidities in inflammatory bowel disease: A call for action. Lancet Gastroenterol. Hepatol. 2019;4:643–654. doi: 10.1016/S2468-1253(19)30173-6. [DOI] [PubMed] [Google Scholar]
  • 16.Aloi M., Tromba L., Di Nardo G., Dilillo A., Del Giudice E., Marocchi E., Viola F., Civitelli F., Berni A., Cucchiara S. Premature subclinical atherosclerosis in pediatric inflammatory bowel disease. J. Pediatrics. 2012;161:589–594. e581. doi: 10.1016/j.jpeds.2012.03.043. [DOI] [PubMed] [Google Scholar]
  • 17.Gonzalez-Gay M., De Matias J., Gonzalez-Juanatey C., Garcia-Porrua C., Sanchez-Andrade A., Martin J., Llorca J. Anti-tumor necrosis factor-alpha blockade improves insulin resistance in patients with rheumatoid arthritis. Clin. Exp. Rheumatol. 2006;24:83. [PubMed] [Google Scholar]
  • 18.Younossi Z., Anstee Q.M., Marietti M., Hardy T., Henry L., Eslam M., George J., Bugianesi E. Global burden of NAFLD and NASH: Trends, predictions, risk factors and prevention. Nat. Rev. Gastroenterol. Hepatol. 2018;15:11. doi: 10.1038/nrgastro.2017.109. [DOI] [PubMed] [Google Scholar]
  • 19.Koutroubakis I.E., Oustamanolakis P., Malliaraki N., Karmiris K., Chalkiadakis I., Ganotakis E., Karkavitsas N., Kouroumalis E.A. Effects of tumor necrosis factor alpha inhibition with infliximab on lipid levels and insulin resistance in patients with inflammatory bowel disease. Eur. J. Gastroenterol. Hepatol. 2009;21:283–288. doi: 10.1097/MEG.0b013e328325d42b. [DOI] [PubMed] [Google Scholar]
  • 20.He C., Shi Y., Wu R., Sun M., Fang L., Wu W., Liu C., Tang M., Li Z., Wang P. miR-301a promotes intestinal mucosal inflammation through induction of IL-17A and TNF-α in IBD. Gut. 2016;65:1938–1950. doi: 10.1136/gutjnl-2015-309389. [DOI] [PubMed] [Google Scholar]
  • 21.Dorfman L., Ghersin I., Khateeb N., Daher S., Shamir R., Assa A. Cardiovascular risk factors are not present in adolescents with inflammatory bowel disease. Acta Paediatr. 2020 doi: 10.1111/apa.15237. [DOI] [PubMed] [Google Scholar]
  • 22.Saroli Palumbo C., Bessissow T., Sebastiani G. Reply to “Transient Elastography in IBD Patients”. Inflamm. Bowel Dis. 2019;25:e95. doi: 10.1093/ibd/izz048. [DOI] [PubMed] [Google Scholar]
  • 23.Singh S., Dulai P.S., Zarrinpar A., Ramamoorthy S., Sandborn W.J. Obesity in IBD: Epidemiology, pathogenesis, disease course and treatment outcomes. Nat. Rev. Gastroenterol. Hepatol. 2017;14:110. doi: 10.1038/nrgastro.2016.181. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Jess T., Jensen B.W., Andersson M., Villumsen M., Allin K.H. Inflammatory bowel disease increases risk of type 2 diabetes in a nationwide cohort study. Clin. Gastroenterol. Hepatol. 2019 doi: 10.1016/j.cgh.2019.07.052. [DOI] [PubMed] [Google Scholar]
  • 25.Kang E., Han K., Chun J., Soh H., Park S., Im J.P., Kim J.S. Increased risk of diabetes in inflammatory bowel disease patients: A nationwide population-based study in korea. J. Clin. Med. 2019;8:343. doi: 10.3390/jcm8030343. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Bregenzer N., Hartmann A., Strauch U., Schölmerich J., Andus T., Bollheimer C.L. Increased insulin resistance and β cell activity in patients with Crohn’s disease. Inflamm. Bowel Dis. 2006;12:53–56. doi: 10.1097/01.MIB.0000195975.97673.f5. [DOI] [PubMed] [Google Scholar]
  • 27.Saroli Palumbo C., Restellini S., Chao C.-Y., Aruljothy A., Lemieux C., Wild G., Afif W., Lakatos P.L., Bitton A., Cocciolillo S. Screening for nonalcoholic fatty liver disease in inflammatory bowel diseases: A cohort study using transient elastography. Inflamm. Bowel Dis. 2019;25:124–133. doi: 10.1093/ibd/izy200. [DOI] [PubMed] [Google Scholar]
  • 28.Dagli N., Poyrazoglu O.K., Ferda Dagli A., Sahbaz F., Karaca I., Ali Kobat M., Bahcecioglu I.H. Is inflammatory bowel disease a risk factor for early atherosclerosis? Angiology. 2010;61:198–204. doi: 10.1177/0003319709333869. [DOI] [PubMed] [Google Scholar]
  • 29.Kayahan H., Sari I., Cullu N., Yuksel F., Demir S., Akarsu M., Goktay Y., Unsal B., Akpinar H. Evaluation of early atherosclerosis in patients with inflammatory bowel disease. Dig. Dis. Sci. 2012;57:2137–2143. doi: 10.1007/s10620-012-2148-x. [DOI] [PubMed] [Google Scholar]
  • 30.Stevens C., Walz G., Singaram C., Lipman M.L., Zanker B., Muggia A., Antonioli D., Peppercorn M.A., Strom T.B. Tumor necrosis factor-α, interleukin-1β, and interleukin-6 expression in inflammatory bowel disease. Dig. Dis. Sci. 1992;37:818–826. doi: 10.1007/BF01300378. [DOI] [PubMed] [Google Scholar]
  • 31.Dijkstra G., Moshage H., Van Dullemen H.M., de Jager-Krikken A., Tiebosch A.T., Kleibeuker J.H., Jansen P.L., Van Goor H. Expression of nitric oxide synthases and formation of nitrotyrosine and reactive oxygen species in inflammatory bowel disease. J. Pathol. 1998;186:416–421. doi: 10.1002/(SICI)1096-9896(199812)186:4&#x0003c;416::AID-PATH201&#x0003e;3.0.CO;2-U. [DOI] [PubMed] [Google Scholar]
  • 32.Guan Q. A Comprehensive Review and Update on the Pathogenesis of Inflammatory Bowel Disease. J. Immunol. Res. 2019;2019 doi: 10.1155/2019/7247238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Brown K., Godovannyi A., Ma C., Zhang Y., Ahmadi-Vand Z., Dai C., Gorzelak M.A., Chan Y., Chan J.M., Lochner A. Prolonged antibiotic treatment induces a diabetogenic intestinal microbiome that accelerates diabetes in NOD mice. Isme J. 2016;10:321–332. doi: 10.1038/ismej.2015.114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Walter J., Armet A.M., Finlay B.B., Shanahan F. Establishing or exaggerating causality for the gut microbiome: Lessons from human microbiota-associated rodents. Cell. 2020;180:221–232. doi: 10.1016/j.cell.2019.12.025. [DOI] [PubMed] [Google Scholar]
  • 35.Tajalizadekhoob Y., Sharifi F., Fakhrzadeh H., Mirarefin M., Ghaderpanahi M., Badamchizade Z., Azimipour S. The effect of low-dose omega 3 fatty acids on the treatment of mild to moderate depression in the elderly: A double-blind, randomized, placebo-controlled study. Eur. Arch. Psychiatry Clin. Neurosci. 2011;261:539–549. doi: 10.1007/s00406-011-0191-9. [DOI] [PubMed] [Google Scholar]
  • 36.Sellon R.K., Tonkonogy S., Schultz M., Dieleman L.A., Grenther W., Balish E., Rennick D.M., Sartor R.B. Resident enteric bacteria are necessary for development of spontaneous colitis and immune system activation in interleukin-10-deficient mice. Infect. Immun. 1998;66:5224–5231. doi: 10.1128/IAI.66.11.5224-5231.1998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Turnbaugh P.J., Ley R.E., Mahowald M.A., Magrini V., Mardis E.R., Gordon J.I. An obesity-associated gut microbiome with increased capacity for energy harvest. Nature. 2006;444:1027. doi: 10.1038/nature05414. [DOI] [PubMed] [Google Scholar]
  • 38.Cani P.D., Amar J., Iglesias M.A., Poggi M., Knauf C., Bastelica D., Neyrinck A.M., Fava F., Tuohy K.M., Chabo C. Metabolic endotoxemia initiates obesity and insulin resistance. Diabetes. 2007;56:1761–1772. doi: 10.2337/db06-1491. [DOI] [PubMed] [Google Scholar]
  • 39.Lynch S.V., Pedersen O. The human intestinal microbiome in health and disease. N. Engl. J. Med. 2016;375:2369–2379. doi: 10.1056/NEJMra1600266. [DOI] [PubMed] [Google Scholar]
  • 40.Sharon G., Garg N., Debelius J., Knight R., Dorrestein P.C., Mazmanian S.K. Specialized metabolites from the microbiome in health and disease. Cell Metab. 2014;20:719–730. doi: 10.1016/j.cmet.2014.10.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Kostic A.D., Xavier R.J., Gevers D. The microbiome in inflammatory bowel disease: Current status and the future ahead. Gastroenterology. 2014;146:1489–1499. doi: 10.1053/j.gastro.2014.02.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Le Chatelier E., Nielsen T., Qin J., Prifti E., Hildebrand F., Falony G., Almeida M., Arumugam M., Batto J.-M., Kennedy S. Richness of human gut microbiome correlates with metabolic markers. Nature. 2013;500:541–546. doi: 10.1038/nature12506. [DOI] [PubMed] [Google Scholar]
  • 43.Larsen N., Vogensen F.K., Van Den Berg F.W., Nielsen D.S., Andreasen A.S., Pedersen B.K., Al-Soud W.A., Sørensen S.J., Hansen L.H., Jakobsen M. Gut microbiota in human adults with type 2 diabetes differs from non-diabetic adults. PLoS ONE. 2010;5 doi: 10.1371/journal.pone.0009085. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Loomba R., Seguritan V., Li W., Long T., Klitgord N., Bhatt A., Dulai P.S., Caussy C., Bettencourt R., Highlander S.K. Gut Microbiome-Based Metagenomic Signature for Non-invasive Detection of Advanced Fibrosis in Human Nonalcoholic Fatty Liver Disease. Cell Metab. 2019;30:607. doi: 10.1016/j.cmet.2019.08.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Jie Z., Xia H., Zhong S.-L., Feng Q., Li S., Liang S., Zhong H., Liu Z., Gao Y., Zhao H. The gut microbiome in atherosclerotic cardiovascular disease. Nat. Commun. 2017;8:1–12. doi: 10.1038/s41467-017-00900-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Jiang W., Wu N., Wang X., Chi Y., Zhang Y., Qiu X., Hu Y., Li J., Liu Y. Dysbiosis gut microbiota associated with inflammation and impaired mucosal immune function in intestine of humans with non-alcoholic fatty liver disease. Sci. Rep. 2015;5:8096. doi: 10.1038/srep08096. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Ren S., Mei L., Huang H., Cao S., Zhao R., Zheng P. Correlation analysis of gut microbiota and biochemical indexes in patients with non-alcoholic fatty liver disease. Zhonghua Gan Zang Bing Za Zhi = Zhonghua Ganzangbing Zazhi= Chin. J. Hepatol. 2019;27:369–375. doi: 10.3760/cma.j.issn.1007-3418.2019.05.009. [DOI] [PubMed] [Google Scholar]
  • 48.Haro C., Garcia-Carpintero S., Alcala-Diaz J.F., Gomez-Delgado F., Delgado-Lista J., Perez-Martinez P., Zuñiga O.A.R., Quintana-Navarro G.M., Landa B.B., Clemente J.C. The gut microbial community in metabolic syndrome patients is modified by diet. J. Nutr. Biochem. 2016;27:27–31. doi: 10.1016/j.jnutbio.2015.08.011. [DOI] [PubMed] [Google Scholar]
  • 49.Dheer R., Davies J.M., Quintero M.A., Damas O.M., Deshpande A.R., Kerman D.H., Sawyer W.P., Pignac-Kobinger J., Ban Y., Fernandez I. Microbial signatures and innate immune gene expression in lamina propria phagocytes of inflammatory bowel disease patients. Cell. Mol. Gastroenterol. Hepatol. 2020;9:387–402. doi: 10.1016/j.jcmgh.2019.10.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Lennon G., Balfe A., Earley H., Devane L.A., Lavelle A., Winter D.C., Coffey J.C., O’Connell P.R. Influences of the colonic microbiome on the mucous gel layer in ulcerative colitis. Gut Microbes. 2014;5:277–476. doi: 10.4161/gmic.28793. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Li L.-L., Wang Y.-T., Zhu L.-M., Liu Z.-Y., Ye C.-Q., Qin S. Inulin with different degrees of polymerization protects against diet-induced endotoxemia and inflammation in association with gut microbiota regulation in mice. Sci. Rep. 2020;10:1–12. doi: 10.1038/s41598-020-58048-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Blander J.M., Longman R.S., Iliev I.D., Sonnenberg G.F., Artis D. Regulation of inflammation by microbiota interactions with the host. Nat. Immunol. 2017;18:851. doi: 10.1038/ni.3780. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Brown K., DeCoffe D., Molcan E., Gibson D.L. Diet-induced dysbiosis of the intestinal microbiota and the effects on immunity and disease. Nutrients. 2012;4:1095–1119. doi: 10.3390/nu4081095. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Santoro N., Caprio S., Feldstein A.E. Oxidized metabolites of linoleic acid as biomarkers of liver injury in nonalcoholic steatohepatitis. Clin. Lipidol. 2013;8:411–418. doi: 10.2217/clp.13.39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Ding S., Chi M.M., Scull B.P., Rigby R., Schwerbrock N.M., Magness S., Jobin C., Lund P.K. High-fat diet: Bacteria interactions promote intestinal inflammation which precedes and correlates with obesity and insulin resistance in mouse. PLoS ONE. 2010;5 doi: 10.1371/journal.pone.0012191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Cronstein B.N., Weissmann G. Targets for antiinflammatory drugs. Annu. Rev. Pharm.. Toxicol. 1995;35:449–462. doi: 10.1146/annurev.pa.35.040195.002313. [DOI] [PubMed] [Google Scholar]
  • 57.Ochroch E.A., Mardini I.A., Gottschalk A. What is the role of NSAIDs in pre-emptive analgesia? Drugs. 2003;63:2709–2723. doi: 10.2165/00003495-200363240-00002. [DOI] [PubMed] [Google Scholar]
  • 58.Wang Z., Klipfell E., Bennett B.J., Koeth R., Levison B.S., DuGar B., Feldstein A.E., Britt E.B., Fu X., Chung Y.-M. Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease. Nature. 2011;472:57–63. doi: 10.1038/nature09922. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Seldin M.M., Meng Y., Qi H., Zhu W., Wang Z., Hazen S.L., Lusis A.J., Shih D.M. Trimethylamine N-oxide promotes vascular inflammation through signaling of mitogen-activated protein kinase and nuclear factor-κB. J. Am. Heart Assoc. 2016;5:e002767. doi: 10.1161/JAHA.115.002767. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Cario E., Podolsky D.K. Differential alteration in intestinal epithelial cell expression of toll-like receptor 3 (TLR3) and TLR4 in inflammatory bowel disease. Infect. Immun. 2000;68:7010–7017. doi: 10.1128/IAI.68.12.7010-7017.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Ishizuka K., Usui I., Kanatani Y., Bukhari A., He J., Fujisaka S., Yamazaki Y., Suzuki H., Hiratani K., Ishiki M. Chronic tumor necrosis factor-α treatment causes insulin resistance via insulin receptor substrate-1 serine phosphorylation and suppressor of cytokine signaling-3 induction in 3T3-L1 adipocytes. Endocrinology. 2007;148:2994–3003. doi: 10.1210/en.2006-1702. [DOI] [PubMed] [Google Scholar]
  • 62.Hotamisligil G.S., Peraldi P., Budavari A., Ellis R., White M.F., Spiegelman B.M. IRS-1-mediated inhibition of insulin receptor tyrosine kinase activity in TNF-α-and obesity-induced insulin resistance. Science. 1996;271:665–670. doi: 10.1126/science.271.5249.665. [DOI] [PubMed] [Google Scholar]
  • 63.Kanety H., Feinstein R., Papa M.Z., Hemi R., Karasik A. Tumor necrosis factor α-induced phosphorylation of insulin receptor substrate-1 (IRS-1) Possible mechanism for suppression of insulin-stimulated tyrosine phosphorylation of IRS-1. J. Biol. Chem. 1995;270:23780–23784. doi: 10.1074/jbc.270.40.23780. [DOI] [PubMed] [Google Scholar]
  • 64.Senn J.J., Klover P.J., Nowak I.A., Mooney R.A. Interleukin-6 induces cellular insulin resistance in hepatocytes. Diabetes. 2002;51:3391–3399. doi: 10.2337/diabetes.51.12.3391. [DOI] [PubMed] [Google Scholar]
  • 65.Sugita H., Kaneki M., Tokunaga E., Sugita M., Koike C., Yasuhara S., Tompkins R.G., Martyn J.J. Inducible nitric oxide synthase plays a role in LPS-induced hyperglycemia and insulin resistance. Am. J. Physiol. -Endocrinol. Metab. 2002;282:E386–E394. doi: 10.1152/ajpendo.00087.2001. [DOI] [PubMed] [Google Scholar]
  • 66.Yasukawa T., Tokunaga E., Ota H., Sugita H., Martyn J.J., Kaneki M. S-nitrosylation-dependent inactivation of Akt/protein kinase B in insulin resistance. J. Biol. Chem. 2005;280:7511–7518. doi: 10.1074/jbc.M411871200. [DOI] [PubMed] [Google Scholar]
  • 67.Fujimoto M., Shimizu N., Kunii K., Martyn J.J., Ueki K., Kaneki M. A role for iNOS in fasting hyperglycemia and impaired insulin signaling in the liver of obese diabetic mice. Diabetes. 2005;54:1340–1348. doi: 10.2337/diabetes.54.5.1340. [DOI] [PubMed] [Google Scholar]
  • 68.Muhammed S.J., Lundquist I., Salehi A. Pancreatic β-cell dysfunction, expression of iNOS and the effect of phosphodiesterase inhibitors in human pancreatic islets of type 2 diabetes. Diabetes Obes. Metab. 2012;14:1010–1019. doi: 10.1111/j.1463-1326.2012.01632.x. [DOI] [PubMed] [Google Scholar]
  • 69.Dijkstra G., Zandvoort A.J., Kobold A.M., Jager-Krikken Ad Heeringa P., Goor Hv Dullemen Hv Tervaert J.C., Loosdrecht Avd Moshage H. Increased expression of inducible nitric oxide synthase in circulating monocytes from patients with active inflammatory bowel disease. Scand. J. Gastroenterol. 2002;37:546–554. doi: 10.1080/00365520252903099. [DOI] [PubMed] [Google Scholar]
  • 70.Tjonneland A., Overvad K., Bergmann M., Nagel G., Linseisen J., Hallmans G., Palmqvist R., Sjodin H., Hagglund G., Berglund G. Linoleic acid, a dietary n-6 polyunsaturated fatty acid, and the aetiology of ulcerative colitis: A nested case-control study within a European prospective cohort study. Gut. 2009;58:1606–1611. doi: 10.1136/gut.2008.169078. [DOI] [PubMed] [Google Scholar]
  • 71.Ghosh S., DeCoffe D., Brown K., Rajendiran E., Estaki M., Dai C., Yip A., Gibson D.L. Fish Oil Attenuates Omega-6 Polyunsaturated Fatty Acid-Induced Dysbiosis and Infectious Colitis but Impairs LPS Dephosphorylation Activity Causing Sepsis. PLoS ONE. 2013;8:e55468. doi: 10.1371/journal.pone.0055468. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Ghosh S., Dai C., Brown K., Rajendiran E., Makarenko S., Baker J., Ma C., Halder S., Montero M., Ionescu V.A., et al. Colonic microbiota alters host susceptibility to infectious colitis by modulating inflammation, redox status, and ion transporter gene expression. Am. J. Physiol. Gastrointest Liver Physiol. 2011;301:G39–G49. doi: 10.1152/ajpgi.00509.2010. [DOI] [PubMed] [Google Scholar]
  • 73.DeCoffe D., Quin C., Gill S.K., Tasnim N., Brown K., Godovannyi A., Dai C., Abulizi N., Chan Y.K., Ghosh S., et al. Dietary Lipid Type, Rather Than Total Number of Calories, Alters Outcomes of Enteric Infection in Mice. J. Infect. Dis. 2016;213:1846–1856. doi: 10.1093/infdis/jiw084. [DOI] [PubMed] [Google Scholar]
  • 74.Ghosh S., Molcan E., DeCoffe D., Dai C., Gibson D.L. Diets rich in n-6 PUFA induce intestinal microbial dysbiosis in aged mice. Br. J. Nutr. 2013;110:515–523. doi: 10.1017/S0007114512005326. [DOI] [PubMed] [Google Scholar]
  • 75.Wong C.K., Botta A., Pither J., Dai C., Gibson W.T., Ghosh S. A high-fat diet rich in corn oil reduces spontaneous locomotor activity and induces insulin resistance in mice. J. Nutr. Biochem. 2015;26:319–326. doi: 10.1016/j.jnutbio.2014.11.004. [DOI] [PubMed] [Google Scholar]
  • 76.Gibson D.L., Gill S.K., Brown K., Tasnim N., Ghosh S., Innis S., Jacobson K. Maternal exposure to fish oil primes offspring to harbor intestinal pathobionts associated with altered immune cell balance. Gut Microbes. 2015;6:24–32. doi: 10.1080/19490976.2014.997610. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Abulizi N., Quin C., Brown K., Chan Y.K., Gill S.K., Gibson D.L. Gut Mucosal Proteins and Bacteriome Are Shaped by the Saturation Index of Dietary Lipids. Nutrients. 2019;11:418. doi: 10.3390/nu11020418. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Gäbele E., Dostert K., Hofmann C., Wiest R., Schölmerich J., Hellerbrand C., Obermeier F. DSS induced colitis increases portal LPS levels and enhances hepatic inflammation and fibrogenesis in experimental NASH. J. Hepatol. 2011;55:1391–1399. doi: 10.1016/j.jhep.2011.02.035. [DOI] [PubMed] [Google Scholar]
  • 79.Jang S.-E., Jeong J.-J., Kim J.-K., Han M.J., Kim D.-H. Simultaneous amelioratation of colitis and liver injury in mice by Bifidobacterium longum LC67 and Lactobacillus plantarum LC27. Sci. Rep. 2018;8:1–14. doi: 10.1038/s41598-018-25775-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Pini M., Gove M.E., Fayad R., Cabay R.J., Fantuzzi G. Adiponectin deficiency does not affect development and progression of spontaneous colitis in IL-10 knockout mice. Am. J. Physiol. -Gastrointest. Liver Physiol. 2009;296:G382–G387. doi: 10.1152/ajpgi.90593.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Paik J., Fierce Y., Treuting P.M., Brabb T., Maggio-Price L. High-fat diet-induced obesity exacerbates inflammatory bowel disease in genetically susceptible Mdr1a−/− male mice. J. Nutr. 2013;143:1240–1247. doi: 10.3945/jn.113.174615. [DOI] [PubMed] [Google Scholar]
  • 82.Hartmann P., Seebauer C.T., Mazagova M., Horvath A., Wang L., Llorente C., Varki N.M., Brandl K., Ho S.B., Schnabl B. Deficiency of intestinal mucin-2 protects mice from diet-induced fatty liver disease and obesity. Am. J. Physiol. -Gastrointest. Liver Physiol. 2016;310:G310–G322. doi: 10.1152/ajpgi.00094.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Noureldein M.H., Dia B.A., Nabbouh A.I., Eid A.A. Promising anti-diabetic effect of dextran sulfate sodium: Is it its clinical come back? Diabetes Res. Clin. Pr. 2020;159:107661. doi: 10.1016/j.diabres.2019.03.016. [DOI] [PubMed] [Google Scholar]
  • 84.Cheng C., Tan J., Qian W., Zhang L., Hou X. Gut inflammation exacerbates hepatic injury in the high-fat diet induced NAFLD mouse: Attention to the gut-vascular barrier dysfunction. Life Sci. 2018;209:157–166. doi: 10.1016/j.lfs.2018.08.017. [DOI] [PubMed] [Google Scholar]
  • 85.Mencarelli A., Cipriani S., Renga B., Bruno A., D’Amore C., Distrutti E., Fiorucci S. VSL# 3 resets insulin signaling and protects against NASH and atherosclerosis in a model of genetic dyslipidemia and intestinal inflammation. PLoS ONE. 2012;7:e45425. doi: 10.1371/journal.pone.0045425. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Mao J.-W., Tang H.-Y., Zhao T., Tan X.-Y., Bi J., Wang B.-Y., Wang Y.-D. Intestinal mucosal barrier dysfunction participates in the progress of nonalcoholic fatty liver disease. Int. J. Clin. Exp. Pathol. 2015;8:3648. [PMC free article] [PubMed] [Google Scholar]
  • 87.Wen J., Khan I., Li A., Chen X., Yang P., Song P., Jing Y., Wei J., Che T., Zhang C. Alpha-linolenic acid given as an anti-inflammatory agent in a mouse model of colonic inflammation. Food Sci. Nutr. 2019;7:3873–3882. doi: 10.1002/fsn3.1225. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Sideri A., Stavrakis D., Bowe C., Shih D.Q., Fleshner P., Arsenescu V., Arsenescu R., Turner J.R., Pothoulakis C., Karagiannides I. Effects of obesity on severity of colitis and cytokine expression in mouse mesenteric fat. Potential role of adiponectin receptor 1. Am. J. Physiol. -Gastrointest. Liver Physiol. 2015;308:G591–G604. doi: 10.1152/ajpgi.00269.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Fallingborg J. Intraluminal pH of the human gastrointestinal tract. Dan. Med. Bull. 1999;46:183–196. [PubMed] [Google Scholar]
  • 90.Schirmer M., Franzosa E.A., Lloyd-Price J., McIver L.J., Schwager R., Poon T.W., Ananthakrishnan A.N., Andrews E., Barron G., Lake K. Dynamics of metatranscription in the inflammatory bowel disease gut microbiome. Nat. Microbiol. 2018;3:337–346. doi: 10.1038/s41564-017-0089-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Smith E.A., Macfarlane A.G.T. Enumeration of amino acid fermenting bacteria in the human large intestine: Effects of pH and starch on peptide metabolism and dissimilation of amino acids. Fems Microbiol. Ecol. 1998;25:355–368. doi: 10.1111/j.1574-6941.1998.tb00487.x. [DOI] [Google Scholar]
  • 92.Fallingborg J., Pedersen P., Jacobsen B.A. Small intestinal transit time and intraluminal pH in ileocecal resected patients with Crohn’s disease. Dig. Dis. Sci. 1998;43:702–705. doi: 10.1023/A:1018893409596. [DOI] [PubMed] [Google Scholar]
  • 93.Nugent S., Kumar D., Rampton D., Evans D. Intestinal luminal pH in inflammatory bowel disease: Possible determinants and implications for therapy with aminosalicylates and other drugs. Gut. 2001;48:571–577. doi: 10.1136/gut.48.4.571. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Alam M.T., Amos G.C., Murphy A.R., Murch S., Wellington E.M., Arasaradnam R.P. Microbial imbalance in inflammatory bowel disease patients at different taxonomic levels. Gut Pathog. 2020;12:1–8. doi: 10.1186/s13099-019-0341-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Solomon L., Mansor S., Mallon P., Donnelly E., Hoper M., Loughrey M., Kirk S., Gardiner K. The dextran sulphate sodium (DSS) model of colitis: An overview. Comp. Clin. Pathol. 2010;19:235–239. doi: 10.1007/s00580-010-0979-4. [DOI] [Google Scholar]
  • 96.Dong F., Zhang L., Hao F., Tang H., Wang Y. Systemic responses of mice to dextran sulfate sodium-induced acute ulcerative colitis using 1H NMR spectroscopy. J. Proteome Res. 2013;12:2958–2966. doi: 10.1021/pr4002383. [DOI] [PubMed] [Google Scholar]
  • 97.Schicho R., Storr M. Targeting the endocannabinoid system for gastrointestinal diseases: Future therapeutic strategies. Expert Rev. Clin. Pharmacol. 2010;3:193–207. doi: 10.1586/ecp.09.62. [DOI] [PubMed] [Google Scholar]
  • 98.Mercier S., Breuille D., Mosoni L., Obled C., Patureau Mirand P. Chronic inflammation alters protein metabolism in several organs of adult rats. J. Nutr. 2002;132:1921–1928. doi: 10.1093/jn/132.7.1921. [DOI] [PubMed] [Google Scholar]
  • 99.Achiwa K., Ishigami M., Ishizu Y., Kuzuya T., Honda T., Hayashi K., Hirooka Y., Katano Y., Goto H. DSS colitis promotes tumorigenesis and fibrogenesis in a choline-deficient high-fat diet-induced NASH mouse model. Biochem. Biophys. Res. Commun. 2016;470:15–21. doi: 10.1016/j.bbrc.2015.12.012. [DOI] [PubMed] [Google Scholar]
  • 100.Gul M., Kayhan B., Elbe H., Dogan Z., Otlu A. Histological and biochemical effects of dexmedetomidine on liver during an inflammatory bowel disease. Ultrastruct. Pathol. 2015;39:6–12. doi: 10.3109/01913123.2013.829150. [DOI] [PubMed] [Google Scholar]
  • 101.Zhou X., Xie Y., Qi Q., Cheng X., Liu F., Liao K., Wang G., Hao H. Disturbance of hepatic and intestinal UDP-glucuronosyltransferase in rats with trinitrobenzene sulfonic acid-induced colitis. Drug Metab. Pharm. 2012 doi: 10.2133/dmpk.DMPK-12-RG-097. [DOI] [PubMed] [Google Scholar]
  • 102.Murdoch T.B., Fu H., MacFarlane S., Sydora B.C., Fedorak R.N., Slupsky C.M. Urinary metabolic profiles of inflammatory bowel disease in interleukin-10 gene-deficient mice. Anal. Chem. 2008;80:5524–5531. doi: 10.1021/ac8005236. [DOI] [PubMed] [Google Scholar]
  • 103.Martin F.-P.J., Rezzi S., Philippe D., Tornier L., Messlik A., Hölzlwimmer G., Baur P., Quintanilla-Fend L., Loh G., Blaut M. Metabolic assessment of gradual development of moderate experimental colitis in IL-10 deficient mice. J. Proteome Res. 2009;8:2376–2387. doi: 10.1021/pr801006e. [DOI] [PubMed] [Google Scholar]
  • 104.Collett A., Higgs N.B., Gironella M., Zeef L.A.H., Hayes A., Salmo E., Haboubi N., Iovanna J.L., Carlson G.L., Warhurst G. Early molecular and functional changes in colonic epithelium that precede increased gut permeability during colitis development in mdr1a (−/−) mice. Inflamm. Bowel Dis. 2008;14:620–631. doi: 10.1002/ibd.20375. [DOI] [PubMed] [Google Scholar]
  • 105.Compare D., Coccoli P., Rocco A., Nardone O., De Maria S., Cartenì M., Nardone G. Gut–liver axis: The impact of gut microbiota on non alcoholic fatty liver disease. Nutr. Metab. Cardiovasc. Dis. 2012;22:471–476. doi: 10.1016/j.numecd.2012.02.007. [DOI] [PubMed] [Google Scholar]
  • 106.Wikoff W.R., Anfora A.T., Liu J., Schultz P.G., Lesley S.A., Peters E.C., Siuzdak G. Metabolomics analysis reveals large effects of gut microflora on mammalian blood metabolites. Proc. Natl. Acad. Sci. USA. 2009;106:3698–3703. doi: 10.1073/pnas.0812874106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Sekirov I., Russell S.L., Antunes L.C.M., Finlay B.B. Gut microbiota in health and disease. Physiol. Rev. 2010;90:859–904. doi: 10.1152/physrev.00045.2009. [DOI] [PubMed] [Google Scholar]
  • 108.Faith J.J., Ahern P.P., Ridaura V.K., Cheng J., Gordon J.I. Identifying gut microbe–host phenotype relationships using combinatorial communities in gnotobiotic mice. Sci. Transl. Med. 2014;6:220ra211. doi: 10.1126/scitranslmed.3008051. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Mokhtari Z., Gibson D.L., Hekmatdoost A. Nonalcoholic fatty liver disease, the gut microbiome, and diet. Adv. Nutr. 2017;8:240–252. doi: 10.3945/an.116.013151. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Monirujjaman M., Ferdouse A.A. Metabolic and physiological roles of branched-chain amino acids. Adv. Mol. Biol. 2014;2014 doi: 10.1155/2014/364976. [DOI] [Google Scholar]
  • 111.Bifari F., Ruocco C., Decimo I., Fumagalli G., Valerio A., Nisoli E. Amino acid supplements and metabolic health: A potential interplay between intestinal microbiota and systems control. Genes Nutr. 2017;12:27. doi: 10.1186/s12263-017-0582-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Ren M., Zhang S., Zeng X., Liu H., Qiao S. Branched-chain amino acids are beneficial to maintain growth performance and intestinal immune-related function in weaned piglets fed protein restricted diet. Asian-Australas. J. Anim. Sci. 2015;28:1742. doi: 10.5713/ajas.14.0131. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Nie C., He T., Zhang W., Zhang G., Ma X. Branched chain amino acids: Beyond nutrition metabolism. Int. J. Mol. Sci. 2018;19:954. doi: 10.3390/ijms19040954. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Zhenyukh O., Civantos E., Ruiz-Ortega M., Sánchez M.S., Vázquez C., Peiró C., Egido J., Mas S. High concentration of branched-chain amino acids promotes oxidative stress, inflammation and migration of human peripheral blood mononuclear cells via mTORC1 activation. Free Radic. Biol. Med. 2017;104:165–177. doi: 10.1016/j.freeradbiomed.2017.01.009. [DOI] [PubMed] [Google Scholar]
  • 115.Kostovcikova K., Coufal S., Galanova N., Fajstova A., Hudcovic T., Kostovcik M., Prochazkova P., Jiraskova Zakostelska Z., Cermakova M., Sediva B. Diet rich in animal protein promotes pro-inflammatory macrophage response and exacerbates colitis in mice. Front. Immunol. 2019;10:919. doi: 10.3389/fimmu.2019.00919. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Wuggenig P., Kaya B., Melhem H., Ayata C.K., Hruz P., Sayan A.E., Tsumura H., Ito M., Roux J., Niess J.H. Loss of the branched-chain amino acid transporter CD98hc alters the development of colonic macrophages in mice. Commun. Biol. 2020;3:1–19. doi: 10.1038/s42003-020-0842-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Ravindran R., Loebbermann J., Nakaya H.I., Khan N., Ma H., Gama L., Machiah D.K., Lawson B., Hakimpour P., Wang Y.-C. The amino acid sensor GCN2 controls gut inflammation by inhibiting inflammasome activation. Nature. 2016;531:523–527. doi: 10.1038/nature17186. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Tobias D.K., Lawler P.R., Harada P.H., Demler O.V., Ridker P.M., Manson J.E., Cheng S., Mora S. Circulating branched-chain amino acids and incident cardiovascular disease in a prospective cohort of US women. Circ. Genom. Precis. Med. 2018;11:e002157. doi: 10.1161/CIRCGEN.118.002157. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119.Ruiz-Canela M., Toledo E., Clish C.B., Hruby A., Liang L., Salas-Salvadó J., Razquin C., Corella D., Estruch R., Ros E. Plasma branched-chain amino acids and incident cardiovascular disease in the PREDIMED trial. Clin. Chem. 2016;62:582–592. doi: 10.1373/clinchem.2015.251710. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Le A., Ottosson F., Brunkwall L., Ericson U., Nilsson P.M., Almgren P. Connection Between BMI-Related Plasma Metabolite Profile and Gut Microbiota. J. Clin. Endocrinol. Metab. 2018;103:1491–1501. doi: 10.1210/jc.2017-02114. [DOI] [PubMed] [Google Scholar]
  • 121.Hoyles L., Fernandez-Real J.-M., Federici M., Serino M., Abbott J., Charpentier J., Heymes C., Luque J.L., Anthony E., Barton R.H. Molecular phenomics and metagenomics of hepatic steatosis in non-diabetic obese women. Nat. Med. 2018;24:1070–1080. doi: 10.1038/s41591-018-0061-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Boulet M.M., Chevrier G., Grenier-Larouche T., Pelletier M., Nadeau M., Scarpa J., Prehn C., Marette A., Adamski J., Tchernof A. Alterations of plasma metabolite profiles related to adipose tissue distribution and cardiometabolic risk. Am. J. Physiol. -Endocrinol. Metab. 2015;309:E736–E746. doi: 10.1152/ajpendo.00231.2015. [DOI] [PubMed] [Google Scholar]
  • 123.Newgard C.B., An J., Bain J.R., Muehlbauer M.J., Stevens R.D., Lien L.F., Haqq A.M., Shah S.H., Arlotto M., Slentz C.A. A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance. Cell Metab. 2009;9:311–326. doi: 10.1016/j.cmet.2009.02.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Kaikkonen J.E., Würtz P., Suomela E., Lehtovirta M., Kangas A.J., Jula A., Mikkilä V., Viikari J.S., Juonala M., Rönnemaa T. Metabolic profiling of fatty liver in young and middle-aged adults: Cross-sectional and prospective analyses of the Young Finns Study. Hepatology. 2017;65:491–500. doi: 10.1002/hep.28899. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Cummings N.E., Williams E.M., Kasza I., Konon E.N., Schaid M.D., Schmidt B.A., Poudel C., Sherman D.S., Yu D., Arriola Apelo S.I. Restoration of metabolic health by decreased consumption of branched-chain amino acids. J. Physiol. 2018;596:623–645. doi: 10.1113/JP275075. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Uddin G.M., Zhang L., Shah S., Fukushima A., Wagg C.S., Gopal K., Al Batran R., Pherwani S., Ho K.L., Boisvenue J. Impaired branched chain amino acid oxidation contributes to cardiac insulin resistance in heart failure. Cardiovasc. Diabetol. 2019;18:86. doi: 10.1186/s12933-019-0892-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127.Agus A., Planchais J., Sokol H. Gut microbiota regulation of tryptophan metabolism in health and disease. Cell Host Microbe. 2018;23:716–724. doi: 10.1016/j.chom.2018.05.003. [DOI] [PubMed] [Google Scholar]
  • 128.Nikolaus S., Schulte B., Al-Massad N., Thieme F., Schulte D.M., Bethge J., Rehman A., Tran F., Aden K., Häsler R. Increased tryptophan metabolism is associated with activity of inflammatory bowel diseases. Gastroenterology. 2017;153:1504–1516.e1502. doi: 10.1053/j.gastro.2017.08.028. [DOI] [PubMed] [Google Scholar]
  • 129.Murgia A., Hinz C., Liggi S., Denes J., Hall Z., West J., Santoru M.L., Piras C., Manis C., Usai P. Italian cohort of patients affected by inflammatory bowel disease is characterised by variation in glycerophospholipid, free fatty acids and amino acid levels. Metabolomics. 2018;14:140. doi: 10.1007/s11306-018-1439-4. [DOI] [PubMed] [Google Scholar]
  • 130.Lai Y., Xue J., Liu C.-W., Gao B., Chi L., Tu P., Lu K., Ru H. Serum metabolomics identifies altered bioenergetics, signaling cascades in parallel with exposome markers in Crohn’s disease. Molecules. 2019;24:449. doi: 10.3390/molecules24030449. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.Kim C.J., Kovacs-Nolan J.A., Yang C., Archbold T., Fan M.Z., Mine Y. L-Tryptophan exhibits therapeutic function in a porcine model of dextran sodium sulfate (DSS)-induced colitis. J. Nutr. Biochem. 2010;21:468–475. doi: 10.1016/j.jnutbio.2009.01.019. [DOI] [PubMed] [Google Scholar]
  • 132.Islam J., Sato S., Watanabe K., Watanabe T., Hirahara K., Aoyama Y., Tomita S., Aso H., Komai M., Shirakawa H. Dietary tryptophan alleviates dextran sodium sulfate-induced colitis through aryl hydrocarbon receptor in mice. J. Nutr. Biochem. 2017;42:43–50. doi: 10.1016/j.jnutbio.2016.12.019. [DOI] [PubMed] [Google Scholar]
  • 133.Alexeev E.E., Lanis J.M., Kao D.J., Campbell E.L., Kelly C.J., Battista K.D., Gerich M.E., Jenkins B.R., Walk S.T., Kominsky D.J. Microbiota-derived indole metabolites promote human and murine intestinal homeostasis through regulation of interleukin-10 receptor. Am. J. Pathol. 2018;188:1183–1194. doi: 10.1016/j.ajpath.2018.01.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.Zelante T., Iannitti R.G., Cunha C., De Luca A., Giovannini G., Pieraccini G., Zecchi R., D’Angelo C., Massi-Benedetti C., Fallarino F. Tryptophan catabolites from microbiota engage aryl hydrocarbon receptor and balance mucosal reactivity via interleukin-22. Immunity. 2013;39:372–385. doi: 10.1016/j.immuni.2013.08.003. [DOI] [PubMed] [Google Scholar]
  • 135.Vangipurapu J., Stancáková A., Smith U., Kuusisto J., Laakso M. Nine amino acids are associated with decreased insulin secretion and elevated glucose levels in a 7.4-year follow-up study of 5,181 Finnish men. Diabetes. 2019;68:1353–1358. doi: 10.2337/db18-1076. [DOI] [PubMed] [Google Scholar]
  • 136.Breum L., Rasmussen M.H., Hilsted J., Fernstrom J.D. Twenty-four–hour plasma tryptophan concentrations and ratios are below normal in obese subjects and are not normalized by substantial weight reduction. Am. J. Clin. Nutr. 2003;77:1112–1118. doi: 10.1093/ajcn/77.5.1112. [DOI] [PubMed] [Google Scholar]
  • 137.De Mello V.D., Paananen J., Lindström J., Lankinen M.A., Shi L., Kuusisto J., Pihlajamäki J., Auriola S., Lehtonen M., Rolandsson O. Indolepropionic acid and novel lipid metabolites are associated with a lower risk of type 2 diabetes in the Finnish Diabetes Prevention Study. Sci. Rep. 2017;7:46337. doi: 10.1038/srep46337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Abildgaard A., Elfving B., Hokland M., Wegener G., Lund S. The microbial metabolite indole-3-propionic acid improves glucose metabolism in rats, but does not affect behaviour. Arch. Physiol. Biochem. 2018;124:306–312. doi: 10.1080/13813455.2017.1398262. [DOI] [PubMed] [Google Scholar]
  • 139.Konopelski P., Konop M., Gawrys-Kopczynska M., Podsadni P., Szczepanska A., Ufnal M. Indole-3-propionic acid, a tryptophan-derived bacterial metabolite, reduces weight gain in rats. Nutrients. 2019;11:591. doi: 10.3390/nu11030591. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140.Hou Q., Ye L., Liu H., Huang L., Yang Q., Turner J., Yu Q. Lactobacillus accelerates ISCs regeneration to protect the integrity of intestinal mucosa through activation of STAT3 signaling pathway induced by LPLs secretion of IL-22. Cell Death Differ. 2018;25:1657–1670. doi: 10.1038/s41418-018-0070-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141.Zapata R.C., Singh A., Ajdari N.M., Chelikani P.K. Dietary Tryptophan Restriction Dose-Dependently Modulates Energy Balance, Gut Hormones, and Microbiota in Obesity-Prone Rats. Obesity. 2018;26:730–739. doi: 10.1002/oby.22136. [DOI] [PubMed] [Google Scholar]
  • 142.Dodd D., Spitzer M.H., Van Treuren W., Merrill B.D., Hryckowian A.J., Higginbottom S.K., Le A., Cowan T.M., Nolan G.P., Fischbach M.A. A gut bacterial pathway metabolizes aromatic amino acids into nine circulating metabolites. Nature. 2017;551:648–652. doi: 10.1038/nature24661. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 143.Chambers E.S., Preston T., Frost G., Morrison D.J. Role of gut microbiota-generated short-chain fatty acids in metabolic and cardiovascular health. Curr. Nutr. Rep. 2018;7:198–206. doi: 10.1007/s13668-018-0248-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144.Bjerrum J.T., Wang Y., Hao F., Coskun M., Ludwig C., Günther U., Nielsen O.H. Metabonomics of human fecal extracts characterize ulcerative colitis, Crohn’s disease and healthy individuals. Metabolomics. 2015;11:122–133. doi: 10.1007/s11306-014-0677-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145.Imhann F., Vila A.V., Bonder M.J., Fu J., Gevers D., Visschedijk M.C., Spekhorst L.M., Alberts R., Franke L., van Dullemen H.M. Interplay of host genetics and gut microbiota underlying the onset and clinical presentation of inflammatory bowel disease. Gut. 2018;67:108–119. doi: 10.1136/gutjnl-2016-312135. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146.Huda-Faujan N., Abdulamir A., Fatimah A., Anas O.M., Shuhaimi M., Yazid A., Loong Y. The impact of the level of the intestinal short chain fatty acids in inflammatory bowel disease patients versus healthy subjects. Open Biochem. J. 2010;4:53. doi: 10.2174/1874091X01004010053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147.Sabatino A.D., Morera R., Ciccocioppo R., Cazzola P., Gotti S., Tinozzi F., Tinozzi S., Corazza G. Oral butyrate for mildly to moderately active Crohn’s disease. Aliment. Pharm. Ther. 2005;22:789–794. doi: 10.1111/j.1365-2036.2005.02639.x. [DOI] [PubMed] [Google Scholar]
  • 148.Fernando M.R., Saxena A., Reyes J.-L., McKay D.M. Butyrate enhances antibacterial effects while suppressing other features of alternative activation in IL-4-induced macrophages. Am. J. Physiol. -Gastrointest. Liver Physiol. 2016;310:G822–G831. doi: 10.1152/ajpgi.00440.2015. [DOI] [PubMed] [Google Scholar]
  • 149.Laffin M., Fedorak R., Zalasky A., Park H., Gill A., Agrawal A., Keshteli A., Hotte N., Madsen K.L. A high-sugar diet rapidly enhances susceptibility to colitis via depletion of luminal short-chain fatty acids in mice. Sci. Rep. 2019;9:1–11. doi: 10.1038/s41598-019-48749-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 150.Fernandes J., Vogt J., Wolever T.M. Kinetic model of acetate metabolism in healthy and hyperinsulinaemic humans. Eur. J. Clin. Nutr. 2014;68:1067–1071. doi: 10.1038/ejcn.2014.136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151.Chambers E.S., Viardot A., Psichas A., Morrison D.J., Murphy K.G., Zac-Varghese S.E., MacDougall K., Preston T., Tedford C., Finlayson G.S. Effects of targeted delivery of propionate to the human colon on appetite regulation, body weight maintenance and adiposity in overweight adults. Gut. 2015;64:1744–1754. doi: 10.1136/gutjnl-2014-307913. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152.Chambers E.S., Byrne C.S., Morrison D.J., Murphy K.G., Preston T., Tedford C., Garcia-Perez I., Fountana S., Serrano-Contreras J.I., Holmes E. Dietary supplementation with inulin-propionate ester or inulin improves insulin sensitivity in adults with overweight and obesity with distinct effects on the gut microbiota, plasma metabolome and systemic inflammatory responses: A randomised cross-over trial. Gut. 2019;68:1430–1438. doi: 10.1136/gutjnl-2019-318424. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 153.Granado-Serrano A.B., Martín-Garí M., Sánchez V., Solans M.R., Berdun R., Ludwig I.A., Rubio L., Vilaprinyo E., Portero-Otín M., Serrano J. Faecal bacterial and short-chain fatty acids signature in hypercholesterolemia. Sci. Rep. 2019;9:1–13. doi: 10.1038/s41598-019-38874-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 154.Zhou D., Chen Y.-W., Zhao Z.-H., Yang R.-X., Xin F.-Z., Liu X.-L., Pan Q., Zhou H., Fan J.-G. Sodium butyrate reduces high-fat diet-induced non-alcoholic steatohepatitis through upregulation of hepatic GLP-1R expression. Exp. Mol. Med. 2018;50:1–12. doi: 10.1038/s12276-018-0183-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155.Da Zhou Q.P., Xin F.-Z., Zhang R.-N., He C.-X., Chen G.-Y., Liu C., Chen Y.-W., Fan J.-G. Sodium butyrate attenuates high-fat diet-induced steatohepatitis in mice by improving gut microbiota and gastrointestinal barrier. World J. Gastroenterol. 2017;23:60. doi: 10.3748/wjg.v23.i1.60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156.Raso G.M., Simeoli R., Russo R., Iacono A., Santoro A., Paciello O., Ferrante M.C., Canani R.B., Calignano A., Meli R. Effects of sodium butyrate and its synthetic amide derivative on liver inflammation and glucose tolerance in an animal model of steatosis induced by high fat diet. PLoS ONE. 2013;8:e68626. doi: 10.1371/journal.pone.0068626. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 157.Yamashita H., Fujisawa K., Ito E., Idei S., Kawaguchi N., Kimoto M., Hiemori M., Tsuji H. Improvement of obesity and glucose tolerance by acetate in Type 2 diabetic Otsuka Long-Evans Tokushima Fatty (OLETF) rats. Biosci. Biotechnol. Biochem. 2007;71:1236–1243. doi: 10.1271/bbb.60668. [DOI] [PubMed] [Google Scholar]
  • 158.Lin H.V., Frassetto A., Kowalik Jr E.J., Nawrocki A.R., Lu M.M., Kosinski J.R., Hubert J.A., Szeto D., Yao X., Forrest G. Butyrate and propionate protect against diet-induced obesity and regulate gut hormones via free fatty acid receptor 3-independent mechanisms. PLoS ONE. 2012;7 doi: 10.1371/journal.pone.0035240. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 159.Khan S., Jena G. Protective role of sodium butyrate, a HDAC inhibitor on beta-cell proliferation, function and glucose homeostasis through modulation of p38/ERK MAPK and apoptotic pathways: Study in juvenile diabetic rat. Chem. -Biol. Interact. 2014;213:1–12. doi: 10.1016/j.cbi.2014.02.001. [DOI] [PubMed] [Google Scholar]
  • 160.Dawson P.A., Karpen S.J. Intestinal transport and metabolism of bile acids. J. Lipid Res. 2015;56:1085–1099. doi: 10.1194/jlr.R054114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 161.Franzosa E.A., Sirota-Madi A., Avila-Pacheco J., Fornelos N., Haiser H.J., Reinker S., Vatanen T., Hall A.B., Mallick H., McIver L.J. Gut microbiome structure and metabolic activity in inflammatory bowel disease. Nat. Microbiol. 2019;4:293–305. doi: 10.1038/s41564-018-0306-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 162.Heinken A., Ravcheev D.A., Baldini F., Heirendt L., Fleming R.M., Thiele I. Systematic assessment of secondary bile acid metabolism in gut microbes reveals distinct metabolic capabilities in inflammatory bowel disease. Microbiome. 2019;7:75. doi: 10.1186/s40168-019-0689-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 163.Pavlidis P., Powell N., Vincent R., Ehrlich D., Bjarnason I., Hayee B. Systematic review: Bile acids and intestinal inflammation-luminal aggressors or regulators of mucosal defence? Aliment. Pharmacol. Ther. 2015;42:802–817. doi: 10.1111/apt.13333. [DOI] [PubMed] [Google Scholar]
  • 164.Potthoff M.J., Boney-Montoya J., Choi M., He T., Sunny N.E., Satapati S., Suino-Powell K., Xu H.E., Gerard R.D., Finck B.N. FGF15/19 regulates hepatic glucose metabolism by inhibiting the CREB-PGC-1α pathway. Cell Metab. 2011;13:729–738. doi: 10.1016/j.cmet.2011.03.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165.Gadaleta R.M., Oldenburg B., Willemsen E.C., Spit M., Murzilli S., Salvatore L., Klomp L.W., Siersema P.D., van Erpecum K.J., van Mil S.W. Activation of bile salt nuclear receptor FXR is repressed by pro-inflammatory cytokines activating NF-κB signaling in the intestine. Biochim. Et Biophys. Acta (BBA)-Mol. Basis Dis. 2011;1812:854–858. doi: 10.1016/j.bbadis.2011.04.005. [DOI] [PubMed] [Google Scholar]
  • 166.Gadaleta R.M., Van Erpecum K.J., Oldenburg B., Willemsen E.C., Renooij W., Murzilli S., Klomp L.W., Siersema P.D., Schipper M.E., Danese S. Farnesoid X receptor activation inhibits inflammation and preserves the intestinal barrier in inflammatory bowel disease. Gut. 2011;60:463–472. doi: 10.1136/gut.2010.212159. [DOI] [PubMed] [Google Scholar]
  • 167.Song X., Sun X., Oh S.F., Wu M., Zhang Y., Zheng W., Geva-Zatorsky N., Jupp R., Mathis D., Benoist C. Microbial bile acid metabolites modulate gut RORγ+ regulatory T cell homeostasis. Nature. 2020;577:410–415. doi: 10.1038/s41586-019-1865-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 168.Luo L., Aubrecht J., Li D., Warner R.L., Johnson K.J., Kenny J., Colangelo J.L. Assessment of serum bile acid profiles as biomarkers of liver injury and liver disease in humans. PLoS ONE. 2018;13 doi: 10.1371/journal.pone.0193824. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 169.Patti M.E., Houten S.M., Bianco A.C., Bernier R., Larsen P.R., Holst J.J., Badman M.K., Maratos-Flier E., Mun E.C., Pihlajamaki J. Serum bile acids are higher in humans with prior gastric bypass: Potential contribution to improved glucose and lipid metabolism. Obesity. 2009;17:1671–1677. doi: 10.1038/oby.2009.102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 170.Bennion L.J., Grundy S.M. Effects of diabetes mellitus on cholesterol metabolism in man. N. Engl. J. Med. 1977;296:1365–1371. doi: 10.1056/NEJM197706162962401. [DOI] [PubMed] [Google Scholar]
  • 171.Gao J., He J., Zhai Y., Wada T., Xie W. The constitutive androstane receptor is an anti-obesity nuclear receptor that improves insulin sensitivity. J. Biol. Chem. 2009;284:25984–25992. doi: 10.1074/jbc.M109.016808. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 172.Maglich J.M., Lobe D.C., Moore J.T. The nuclear receptor CAR (NR1I3) regulates serum triglyceride levels under conditions of metabolic stress. J. Lipid Res. 2009;50:439–445. doi: 10.1194/jlr.M800226-JLR200. [DOI] [PubMed] [Google Scholar]
  • 173.Velasquez M.T., Ramezani A., Manal A., Raj D.S. Trimethylamine N-oxide: The good, the bad and the unknown. Toxins. 2016;8:326. doi: 10.3390/toxins8110326. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 174.Santoru M.L., Piras C., Murgia A., Palmas V., Camboni T., Liggi S., Ibba I., Lai M.A., Orrù S., Blois S. Cross sectional evaluation of the gut-microbiome metabolome axis in an Italian cohort of IBD patients. Sci. Rep. 2017;7:1–14. doi: 10.1038/s41598-017-10034-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 175.Hong Y.-S., Ahn Y.-T., Park J.-C., Lee J.-H., Lee H., Huh C.-S., Kim D.-H., Hwang G.-S. 1 H NMR-based metabonomic assessment of probiotic effects in a colitis mouse model. Arch. Pharmacal Res. 2010;33:1091–1101. doi: 10.1007/s12272-010-0716-1. [DOI] [PubMed] [Google Scholar]
  • 176.Koeth R.A., Wang Z., Levison B.S., Buffa J.A., Org E., Sheehy B.T., Britt E.B., Fu X., Wu Y., Li L. Intestinal microbiota metabolism of L-carnitine, a nutrient in red meat, promotes atherosclerosis. Nat. Med. 2013;19:576. doi: 10.1038/nm.3145. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 177.Tang W.W., Wang Z., Levison B.S., Koeth R.A., Britt E.B., Fu X., Wu Y., Hazen S.L. Intestinal microbial metabolism of phosphatidylcholine and cardiovascular risk. N. Engl. J. Med. 2013;368:1575–1584. doi: 10.1056/NEJMoa1109400. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 178.Shan Z., Sun T., Huang H., Chen S., Chen L., Luo C., Yang W., Yang X., Yao P., Cheng J. Association between microbiota-dependent metabolite trimethylamine-N-oxide and type 2 diabetes. Am. J. Clin. Nutr. 2017;106:888–894. doi: 10.3945/ajcn.117.157107. [DOI] [PubMed] [Google Scholar]
  • 179.Wang Z., Tang W.W., Buffa J.A., Fu X., Britt E.B., Koeth R.A., Levison B.S., Fan Y., Wu Y., Hazen S.L. Prognostic value of choline and betaine depends on intestinal microbiota-generated metabolite trimethylamine-N-oxide. European heart journal. 2014;35:904–910. doi: 10.1093/eurheartj/ehu002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 180.Trøseid M., Ueland T., Hov J., Svardal A., Gregersen I., Dahl C., Aakhus S., Gude E., Bjørndal B., Halvorsen B. Microbiota-dependent metabolite trimethylamine-N-oxide is associated with disease severity and survival of patients with chronic heart failure. J. Intern. Med. 2015;277:717–726. doi: 10.1111/joim.12328. [DOI] [PubMed] [Google Scholar]
  • 181.Oellgaard J., Abitz Winther S., Schmidt Hansen T., Rossing P., Johan von Scholten B. Trimethylamine N-oxide (TMAO) as a new potential therapeutic target for insulin resistance and cancer. Curr. Pharm. Des. 2017;23:3699–3712. doi: 10.2174/1381612823666170622095324. [DOI] [PubMed] [Google Scholar]
  • 182.Chen S., Henderson A., Petriello M.C., Romano K.A., Gearing M., Miao J., Schell M., Sandoval-Espinola W.J., Tao J., Sha B. Trimethylamine N-oxide binds and activates PERK to promote metabolic dysfunction. Cell Metab. 2019;30:1141–1151.e1145. doi: 10.1016/j.cmet.2019.08.021. [DOI] [PubMed] [Google Scholar]
  • 183.Dumas M.-E., Barton R.H., Toye A., Cloarec O., Blancher C., Rothwell A., Fearnside J., Tatoud R., Blanc V., Lindon J.C. Metabolic profiling reveals a contribution of gut microbiota to fatty liver phenotype in insulin-resistant mice. Proc. Natl. Acad. Sci. USA. 2006;103:12511–12516. doi: 10.1073/pnas.0601056103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 184.Saad M.J.A., Santos A., Prada P.O. Linking gut microbiota and inflammation to obesity and insulin resistance. Physiology. 2016;31:283–293. doi: 10.1152/physiol.00041.2015. [DOI] [PubMed] [Google Scholar]
  • 185.Duboc H., Rajca S., Rainteau D., Benarous D., Maubert M.-A., Quervain E., Thomas G., Barbu V., Humbert L., Despras G. Connecting dysbiosis, bile-acid dysmetabolism and gut inflammation in inflammatory bowel diseases. Gut. 2013;62:531–539. doi: 10.1136/gutjnl-2012-302578. [DOI] [PubMed] [Google Scholar]
  • 186.Lavelle A., Sokol H. Gut microbiota-derived metabolites as key actors in inflammatory bowel disease. Nat. Rev. Gastroenterol. Hepatol. 2020:1–15. doi: 10.1038/s41575-019-0258-z. [DOI] [PubMed] [Google Scholar]
  • 187.Jones B.V., Begley M., Hill C., Gahan C.G., Marchesi J.R. Functional and comparative metagenomic analysis of bile salt hydrolase activity in the human gut microbiome. Proc. Natl. Acad. Sci. USA. 2008;105:13580–13585. doi: 10.1073/pnas.0804437105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 188.Ma K., Saha P.K., Chan L., Moore D.D. Farnesoid X receptor is essential for normal glucose homeostasis. J. Clin. Investig. 2006;116:1102–1109. doi: 10.1172/JCI25604. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 189.Trauner M., Claudel T., Fickert P., Moustafa T., Wagner M. Bile acids as regulators of hepatic lipid and glucose metabolism. Dig. Dis. 2010;28:220–224. doi: 10.1159/000282091. [DOI] [PubMed] [Google Scholar]
  • 190.Jena P.K., Sheng L., Liu H.-X., Kalanetra K.M., Mirsoian A., Murphy W.J., French S.W., Krishnan V.V., Mills D.A., Wan Y.-J.Y. Western diet–induced dysbiosis in farnesoid X receptor knockout mice causes persistent hepatic inflammation after antibiotic treatment. Am. J. Pathol. 2017;187:1800–1813. doi: 10.1016/j.ajpath.2017.04.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 191.Armstrong L.E., Guo G.L. Role of FXR in liver inflammation during nonalcoholic steatohepatitis. Curr. Pharmacol. Rep. 2017;3:92–100. doi: 10.1007/s40495-017-0085-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 192.Labbé A., Ganopolsky J.G., Martoni C.J., Prakash S., Jones M.L. Bacterial bile metabolising gene abundance in Crohn’s, ulcerative colitis and type 2 diabetes metagenomes. PLoS ONE. 2014;9 doi: 10.1371/journal.pone.0115175. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 193.Ogilvie L.A., Jones B.V. Dysbiosis modulates capacity for bile acid modification in the gut microbiomes of patients with inflammatory bowel disease: A mechanism and marker of disease? Gut. 2012;61:1642–1643. doi: 10.1136/gutjnl-2012-302137. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 194.Han C.Y. Update on FXR biology: Promising therapeutic target? Int. J. Mol. Sci. 2018;19:2069. doi: 10.3390/ijms19072069. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 195.Jung E.H., Lee J.-H., Kim S.C., Kim Y.W. AMPK activation by liquiritigenin inhibited oxidative hepatic injury and mitochondrial dysfunction induced by nutrition deprivation as mediated with induction of farnesoid X receptor. Eur. J. Nutr. 2017;56:635–647. doi: 10.1007/s00394-015-1107-7. [DOI] [PubMed] [Google Scholar]
  • 196.Lee C.G., Kim Y.W., Kim E.H., Meng Z., Huang W., Hwang S.J., Kim S.G. Farnesoid X receptor protects hepatocytes from injury by repressing miR-199a-3p, which increases levels of LKB1. Gastroenterology. 2012;142:1206–1217. e1207. doi: 10.1053/j.gastro.2012.01.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 197.Ríos-Covián D., Ruas-Madiedo P., Margolles A., Gueimonde M., de los Reyes-Gavilán C.G., Salazar N. Intestinal short chain fatty acids and their link with diet and human health. Front. Microbiol. 2016;7:185. doi: 10.3389/fmicb.2016.00185. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 198.Venegas D.P., Marjorie K., Landskron G., González M.J., Quera R., Dijkstra G., Harmsen H.J., Faber K.N., Hermoso M.A. Short chain fatty acids (SCFAs)-mediated gut epithelial and immune regulation and its relevance for inflammatory bowel diseases. Front. Immunol. 2019:10. doi: 10.3389/fimmu.2019.00277. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 199.Zhang X., Xue C., Xu Q., Zhang Y., Li H., Li F., Liu Y., Guo C. Caprylic acid suppresses inflammation via TLR4/NF-κB signaling and improves atherosclerosis in ApoE-deficient mice. Nutr. Metab. 2019;16:40. doi: 10.1186/s12986-019-0359-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 200.Yamashiro K., Tanaka R., Urabe T., Ueno Y., Yamashiro Y., Nomoto K., Takahashi T., Tsuji H., Asahara T., Hattori N. Correction: Gut dysbiosis is associated with metabolism and systemic inflammation in patients with ischemic stroke. PLoS ONE. 2017;12:e0176062. doi: 10.1371/journal.pone.0176062. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 201.Yuille S., Reichardt N., Panda S., Dunbar H., Mulder I.E. Human gut bacteria as potent class I histone deacetylase inhibitors in vitro through production of butyric acid and valeric acid. PLoS ONE. 2018;13 doi: 10.1371/journal.pone.0201073. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 202.Bodnaruc A.M., Prud’homme D., Blanchet R., Giroux I. Nutritional modulation of endogenous glucagon-like peptide-1 secretion: A review. Nutr. Metab. 2016;13:92. doi: 10.1186/s12986-016-0153-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 203.Larraufie P., Martin-Gallausiaux C., Lapaque N., Dore J., Gribble F., Reimann F., Blottiere H. SCFAs strongly stimulate PYY production in human enteroendocrine cells. Sci. Rep. 2018;8:1–9. doi: 10.1038/s41598-017-18259-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 204.Puddu A., Sanguineti R., Montecucco F., Viviani G.L. Evidence for the gut microbiota short-chain fatty acids as key pathophysiological molecules improving diabetes. Mediat. Inflamm. 2014;2014 doi: 10.1155/2014/162021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 205.Freeland K.R., Wilson C., Wolever T.M. Adaptation of colonic fermentation and glucagon-like peptide-1 secretion with increased wheat fibre intake for 1 year in hyperinsulinaemic human subjects. Br. J. Nutr. 2010;103:82–90. doi: 10.1017/S0007114509991462. [DOI] [PubMed] [Google Scholar]
  • 206.Laffin M.R., Tayebi Khosroshahi H., Park H., Laffin L.J., Madsen K., Kafil H.S., Abedi B., Shiralizadeh S., Vaziri N.D. Amylose resistant starch (HAM-RS2) supplementation increases the proportion of Faecalibacterium bacteria in end-stage renal disease patients: Microbial analysis from a randomized placebo-controlled trial. Hemodial. Int. 2019;23:343–347. doi: 10.1111/hdi.12753. [DOI] [PubMed] [Google Scholar]
  • 207.Jakobsdottir G., Xu J., Molin G., Ahrne S., Nyman M. High-fat diet reduces the formation of butyrate, but increases succinate, inflammation, liver fat and cholesterol in rats, while dietary fibre counteracts these effects. PLoS ONE. 2013;8 doi: 10.1371/journal.pone.0080476. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 208.Estaki M., Pither J., Baumeister P., Little J.P., Gill S.K., Ghosh S., Ahmadi-Vand Z., Marsden K.R., Gibson D.L. Cardiorespiratory fitness as a predictor of intestinal microbial diversity and distinct metagenomic functions. Microbiome. 2016;4:42. doi: 10.1186/s40168-016-0189-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 209.Hansen C.P., Andreasen J., Holst J. The release of gastric inhibitory peptide, glucagon-like peptide-I, and insulin after oral glucose test in colectomized subjects. Scand. J. Gastroenterol. 1997;32:473–477. doi: 10.3109/00365529709025084. [DOI] [PubMed] [Google Scholar]
  • 210.Gentilella R., Pechtner V., Corcos A., Consoli A. Glucagon-like peptide-1 receptor agonists in type 2 diabetes treatment: Are they all the same? Diabetes/Metab. Res. Rev. 2019;35:e3070. doi: 10.1002/dmrr.3070. [DOI] [PubMed] [Google Scholar]
  • 211.De Silva A., Bloom S.R. Gut hormones and appetite control: A focus on PYY and GLP-1 as therapeutic targets in obesity. Gut Liver. 2012;6:10. doi: 10.5009/gnl.2012.6.1.10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 212.Schicho R., Nazyrova A., Shaykhutdinov R., Duggan G., Vogel H.J., Storr M. Quantitative metabolomic profiling of serum and urine in DSS-induced ulcerative colitis of mice by 1H NMR spectroscopy. J. Proteome Res. 2010;9:6265–6273. doi: 10.1021/pr100547y. [DOI] [PubMed] [Google Scholar]
  • 213.Roager H.M., Licht T.R. Microbial tryptophan catabolites in health and disease. Nat. Commun. 2018;9:1–10. doi: 10.1038/s41467-018-05470-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 214.Willing B., Halfvarson J., Dicksved J., Rosenquist M., Järnerot G., Engstrand L., Tysk C., Jansson J.K. Twin studies reveal specific imbalances in the mucosaassociated microbiota of patients with ileal Crohn’s disease. Inflamm. Bowel Dis. 2009;15:653–660. doi: 10.1002/ibd.20783. [DOI] [PubMed] [Google Scholar]
  • 215.Gupta N.K., Thaker A.I., Kanuri N., Riehl T.E., Rowley C.W., Stenson W.F., Ciorba M.A. Serum analysis of tryptophan catabolism pathway: Correlation with Crohn’s disease activity. Inflamm. Bowel Dis. 2012;18:1214–1220. doi: 10.1002/ibd.21849. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 216.Bethge J., Meffert S., Ellrichmann M., Conrad C., Nikolaus S., Schreiber S. Combination therapy with vedolizumab and etanercept in a patient with pouchitis and spondylarthritis. BMJ Open Gastroenterol. 2017;4:e000127. doi: 10.1136/bmjgast-2016-000127. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 217.Sofia M.A., Ciorba M.A., Meckel K., Lim C.K., Guillemin G.J., Weber C.R., Bissonnette M., Pekow J.R. Tryptophan metabolism through the kynurenine pathway is associated with endoscopic inflammation in ulcerative colitis. Inflamm. Bowel Dis. 2018;24:1471–1480. doi: 10.1093/ibd/izy103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 218.Menni C., Hernandez M.M., Vital M., Mohney R.P., Spector T.D., Valdes A.M. Circulating levels of the anti-oxidant indoleproprionic acid are associated with higher gut microbiome diversity. Gut Microbes. 2019;10:688–695. doi: 10.1080/19490976.2019.1586038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 219.Ma L., Li H., Hu J., Zheng J., Zhou J., Botchlett R., Matthews D., Zeng T., Chen L., Xiao X. Indole Alleviates Diet-induced Hepatic Steatosis and Inflammation in a Manner Involving Myeloid Cell PFKFB3. Hepatology. 2020 doi: 10.1002/hep.31115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 220.Busbee P.B., Menzel L., Alrafas H.R., Dopkins N., Becker W., Miranda K., Tang C., Chatterjee S., Singh U.P., Nagarkatti M. Indole-3-carbinol prevents colitis and associated microbial dysbiosis in an IL-22–dependent manner. JCI Insight. 2020:5. doi: 10.1172/jci.insight.127551. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 221.Wlodarska M., Luo C., Kolde R., d’Hennezel E., Annand J.W., Heim C.E., Krastel P., Schmitt E.K., Omar A.S., Creasey E.A. Indoleacrylic acid produced by commensal peptostreptococcus species suppresses inflammation. Cell Host Microbe. 2017;22:25–37. e26. doi: 10.1016/j.chom.2017.06.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 222.Natividad J.M., Agus A., Planchais J., Lamas B., Jarry A.C., Martin R., Michel M.-L., Chong-Nguyen C., Roussel R., Straube M. Impaired aryl hydrocarbon receptor ligand production by the gut microbiota is a key factor in metabolic syndrome. Cell Metab. 2018;28:737–749. e734. doi: 10.1016/j.cmet.2018.07.001. [DOI] [PubMed] [Google Scholar]
  • 223.Goettel J.A., Gandhi R., Kenison J.E., Yeste A., Murugaiyan G., Sambanthamoorthy S., Griffith A.E., Patel B., Shouval D.S., Weiner H.L. AHR activation is protective against colitis driven by T cells in humanized mice. Cell Rep. 2016;17:1318–1329. doi: 10.1016/j.celrep.2016.09.082. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 224.Ji Y., Yin Y., Li Z., Zhang W. Gut Microbiota-Derived Components and Metabolites in the Progression of Non-Alcoholic Fatty Liver Disease (NAFLD) Nutrients. 2019;11:1712. doi: 10.3390/nu11081712. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 225.Marinelli L., Martin-Gallausiaux C., Bourhis J.-M., Béguet-Crespel F., Blottière H.M., Lapaque N. Identification of the novel role of butyrate as AhR ligand in human intestinal epithelial cells. Sci. Rep. 2019;9:1–14. doi: 10.1038/s41598-018-37019-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 226.Wu W., Zhang L., Xia B., Tang S., Liu L., Xie J., Zhang H. Bioregional Alterations in Gut Microbiome Contribute to the Plasma Metabolomic Changes in Pigs Fed with Inulin. Microorganisms. 2020;8:111. doi: 10.3390/microorganisms8010111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 227.Karusheva Y., Koessler T., Strassburger K., Markgraf D., Mastrototaro L., Jelenik T., Simon M.-C., Pesta D., Zaharia O.-P., Bódis K. Short-term dietary reduction of branched-chain amino acids reduces meal-induced insulin secretion and modifies microbiome composition in type 2 diabetes: A randomized controlled crossover trial. Am. J. Clin. Nutr. 2019;110:1098–1107. doi: 10.1093/ajcn/nqz191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 228.Teixeira T., Grześkowiak Ł.M., Salminen S., Laitinen K., Bressan J., Peluzio M.D.C.G. Faecal levels of Bifidobacterium and Clostridium coccoides but not plasma lipopolysaccharide are inversely related to insulin and HOMA index in women. Clin. Nutr. 2013;32:1017–1022. doi: 10.1016/j.clnu.2013.02.008. [DOI] [PubMed] [Google Scholar]
  • 229.Urbini M., Petito V., de Notaristefani F., Scaldaferri F., Gasbarrini A., Tortora L. ToF-SIMS and principal component analysis of lipids and amino acids from inflamed and dysplastic human colonic mucosa. Anal. Bioanal. Chem. 2017;409:6097–6111. doi: 10.1007/s00216-017-0546-9. [DOI] [PubMed] [Google Scholar]
  • 230.Bosch S., Struys E.A., van Gaal N., Bakkali A., Jansen E.W., Diederen K., Benninga M.A., Mulder C.J., de Boer N.K., de Meij T.G. Fecal amino acid analysis can discriminate de novo treatment-naïve pediatric inflammatory bowel disease from controls. J. Pediatric Gastroenterol. Nutr. 2018;66:773–778. doi: 10.1097/MPG.0000000000001812. [DOI] [PubMed] [Google Scholar]
  • 231.Cheng S., Ma X., Geng S., Jiang X., Li Y., Hu L., Li J., Wang Y., Han X. Fecal microbiota transplantation beneficially regulates intestinal mucosal autophagy and alleviates gut barrier injury. MSystems. 2018;3:e00137-00118. doi: 10.1128/mSystems.00137-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 232.Laferrère B., Reilly D., Arias S., Swerdlow N., Gorroochurn P., Bawa B., Bose M., Teixeira J., Stevens R.D., Wenner B.R. Differential metabolic impact of gastric bypass surgery versus dietary intervention in obese diabetic subjects despite identical weight loss. Sci. Transl. Med. 2011;3:80re82. doi: 10.1126/scitranslmed.3002043. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 233.Tremblay F., Brûlé S., Um S.H., Li Y., Masuda K., Roden M., Sun X.J., Krebs M., Polakiewicz R.D., Thomas G. Identification of IRS-1 Ser-1101 as a target of S6K1 in nutrient-and obesity-induced insulin resistance. Proc. Natl. Acad. Sci. USA. 2007;104:14056–14061. doi: 10.1073/pnas.0706517104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 234.Draznin B. Molecular mechanisms of insulin resistance: Serine phosphorylation of insulin receptor substrate-1 and increased expression of p85α: The two sides of a coin. Diabetes. 2006;55:2392–2397. doi: 10.2337/db06-0391. [DOI] [PubMed] [Google Scholar]
  • 235.Carding S., Verbeke K., Vipond D.T., Corfe B.M., Owen L.J. Dysbiosis of the gut microbiota in disease. Microb. Ecol. Health Dis. 2015;26:26191. doi: 10.3402/mehd.v26.26191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 236.Thevaranjan N., Puchta A., Schulz C., Naidoo A., Szamosi J., Verschoor C.P., Loukov D., Schenck L.P., Jury J., Foley K.P. Age-associated microbial dysbiosis promotes intestinal permeability, systemic inflammation, and macrophage dysfunction. Cell Host Microbe. 2017;21:455–466. e454. doi: 10.1016/j.chom.2017.03.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 237.Hotamisligil G.S. Inflammation and metabolic disorders. Nature. 2006;444:860–867. doi: 10.1038/nature05485. [DOI] [PubMed] [Google Scholar]
  • 238.Gukovsky I., Li N., Todoric J., Gukovskaya A., Karin M. Inflammation, autophagy, and obesity: Common features in the pathogenesis of pancreatitis and pancreatic cancer. Gastroenterology. 2013;144:1199–1209.e1194. doi: 10.1053/j.gastro.2013.02.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 239.Knebel B., Strassburger K., Szendroedi J., Kotzka J., Scheer M., Nowotny B., Müssig K., Lehr S., Pacini G., Finner H. Specific metabolic profiles and their relationship to insulin resistance in recent-onset type 1 and type 2 diabetes. J. Clin. Endocrinol. Metab. 2016;101:2130–2140. doi: 10.1210/jc.2015-4133. [DOI] [PubMed] [Google Scholar]
  • 240.Gomez-Arango L.F., Barrett H.L., McIntyre H.D., Callaway L.K., Morrison M., Nitert M.D. Connections between the gut microbiome and metabolic hormones in early pregnancy in overweight and obese women. Diabetes. 2016;65:2214–2223. doi: 10.2337/db16-0278. [DOI] [PubMed] [Google Scholar]
  • 241.Kreznar J.H., Keller M.P., Traeger L.L., Rabaglia M.E., Schueler K.L., Stapleton D.S., Zhao W., Vivas E.I., Yandell B.S., Broman A.T. Host genotype and gut microbiome modulate insulin secretion and diet-induced metabolic phenotypes. Cell Rep. 2017;18:1739–1750. doi: 10.1016/j.celrep.2017.01.062. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 242.Perry R.J., Peng L., Barry N.A., Cline G.W., Zhang D., Cardone R.L., Petersen K.F., Kibbey R.G., Goodman A.L., Shulman G.I. Acetate mediates a microbiome–brain–β-cell axis to promote metabolic syndrome. Nature. 2016;534:213–217. doi: 10.1038/nature18309. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 243.Sun J., Furio L., Mecheri R., van der Does A.M., Lundeberg E., Saveanu L., Chen Y., van Endert P., Agerberth B., Diana J. Pancreatic β-cells limit autoimmune diabetes via an immunoregulatory antimicrobial peptide expressed under the influence of the gut microbiota. Immunity. 2015;43:304–317. doi: 10.1016/j.immuni.2015.07.013. [DOI] [PubMed] [Google Scholar]
  • 244.Tan C., Ling Z., Huang Y., Cao Y., Liu Q., Cai T., Yuan H., Liu C., Li Y., Xu K. Dysbiosis of intestinal microbiota associated with inflammation involved in the progression of acute pancreatitis. Pancreas. 2015;44:868–875. doi: 10.1097/MPA.0000000000000355. [DOI] [PubMed] [Google Scholar]
  • 245.Chen J., Huang C., Wang J., Zhou H., Lu Y., Lou L., Zheng J., Tian L., Wang X., Cao Z. Dysbiosis of intestinal microbiota and decrease in paneth cell antimicrobial peptide level during acute necrotizing pancreatitis in rats. PLoS ONE. 2017;12 doi: 10.1371/journal.pone.0176583. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 246.Zhang X.M., Zhang Z.Y., Zhang C.H., Jing W., Wang Y.X., Zhang G.X. Intestinal microbial community differs between acute pancreatitis patients and healthy volunteers. Biomed. Environ. Sci. 2018;31:81–86. doi: 10.3967/bes2018.010. [DOI] [PubMed] [Google Scholar]
  • 247.Penalva J.C., Martínez J., Laveda R., Esteban A., Muñoz C., Sáez J., Such J., Navarro S., Feu F., Sánchez-Payá J. A study of intestinal permeability in relation to the inflammatory response and plasma endocab IgM levels in patients with acute pancreatitis. J. Clin. Gastroenterol. 2004;38:512–517. doi: 10.1097/01.mcg.0000129060.46654.e0. [DOI] [PubMed] [Google Scholar]
  • 248.Porras M., Martin M., Torres R., Vergara P. Cyclical upregulated iNOS and long-term downregulated nNOS are the bases for relapse and quiescent phases in a rat model of IBD. Am. J. Physiol. -Gastrointest. Liver Physiol. 2006;290:G423–G430. doi: 10.1152/ajpgi.00323.2005. [DOI] [PubMed] [Google Scholar]
  • 249.Takahashi M., Kitahashi T., Ishigamori R., Mutoh M., Komiya M., Sato H., Kamanaka Y., Naka M., Maruyama T., Sugimura T. Increased expression of inducible nitric oxide synthase (iNOS) in N-nitrosobis (2-oxopropyl) amine-induced hamster pancreatic carcinogenesis and prevention of cancer development by ONO-1714, an iNOS inhibitor. Carcinogenesis. 2008;29:1608–1613. doi: 10.1093/carcin/bgn152. [DOI] [PubMed] [Google Scholar]
  • 250.Al-Mufti R., Williamson R., Mathie R. Increased nitric oxide activity in a rat model of acute pancreatitis. Gut. 1998;43:564–570. doi: 10.1136/gut.43.4.564. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 251.Qader S.S., Ekelund M., Andersson R., Obermuller S., Salehi A. Acute pancreatitis, expression of inducible nitric oxide synthase and defective insulin secretion. Cell Tissue Res. 2003;313:271–279. doi: 10.1007/s00441-003-0764-7. [DOI] [PubMed] [Google Scholar]
  • 252.Murri M., Leiva I., Gomez-Zumaquero J.M., Tinahones F.J., Cardona F., Soriguer F., Queipo-Ortuño M.I. Gut microbiota in children with type 1 diabetes differs from that in healthy children: A case-control study. BMC Med. 2013;11:46. doi: 10.1186/1741-7015-11-46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 253.Pflüger M., Winkler C., Hummel S., Ziegler A. Early infant diet in children at high risk for type 1 diabetes. Horm. Metab. Res. 2010;42:143–148. doi: 10.1055/s-0029-1241830. [DOI] [PubMed] [Google Scholar]
  • 254.Kostic A.D., Gevers D., Siljander H., Vatanen T., Hyötyläinen T., Hämäläinen A.-M., Peet A., Tillmann V., Pöhö P., Mattila I. The dynamics of the human infant gut microbiome in development and in progression toward type 1 diabetes. Cell Host Microbe. 2015;17:260–273. doi: 10.1016/j.chom.2015.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 255.Candon S., Perez-Arroyo A., Marquet C., Valette F., Foray A.-P., Pelletier B., Milani C., Ventura M., Bach J.-F., Chatenoud L. Correction: Antibiotics in Early Life Alter the Gut Microbiome and Increase Disease Incidence in a Spontaneous Mouse Model of Autoimmune Insulin-Dependent Diabetes. PLoS ONE. 2016;11:e0147888. doi: 10.1371/journal.pone.0147888. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 256.Cirstea M., Radisavljevic N., Finlay B.B. Good bug, bad bug: Breaking through microbial stereotypes. Cell Host Microbe. 2018;23:10–13. doi: 10.1016/j.chom.2017.12.008. [DOI] [PubMed] [Google Scholar]
  • 257.Ohland C.L., MacNaughton W.K. Probiotic bacteria and intestinal epithelial barrier function. Am. J. Physiol. -Gastrointest. Liver Physiol. 2010;298:G807–G819. doi: 10.1152/ajpgi.00243.2009. [DOI] [PubMed] [Google Scholar]
  • 258.Schlee M., Wehkamp J., Altenhoefer A., Oelschlaeger T.A., Stange E.F., Fellermann K. Induction of human β-defensin 2 by the probiotic Escherichia coli Nissle 1917 is mediated through flagellin. Infect. Immun. 2007;75:2399–2407. doi: 10.1128/IAI.01563-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 259.Kamada N., Hisamatsu T., Okamoto S., Chinen H., Kobayashi T., Sato T., Sakuraba A., Kitazume M.T., Sugita A., Koganei K. Unique CD14+ intestinal macrophages contribute to the pathogenesis of Crohn disease via IL-23/IFN-γ axis. J. Clin. Investig. 2008;118:2269–2280. doi: 10.1172/JCI34610. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 260.Roselli F., Tartaglione B., Federico F., Lepore V., Defazio G., Livrea P. Rate of MMSE score change in Alzheimer’s disease: Influence of education and vascular risk factors. Clin. Neurol. Neurosurg. 2009;111:327–330. doi: 10.1016/j.clineuro.2008.10.006. [DOI] [PubMed] [Google Scholar]
  • 261.Sleator R.D., Hill C. Patho-biotechnology: Using bad bugs to do good things. Curr. Opin. Biotechnol. 2006;12:211–216. doi: 10.1016/j.copbio.2006.01.006. [DOI] [PubMed] [Google Scholar]
  • 262.Kamada N., Chen G.Y., Inoue N., Nunez G. Control of pathogens and pathobionts by the gut microbiota. Nat. Immunol. 2013;14:685–690. doi: 10.1038/ni.2608. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 263.Zmora N., Zilberman-Schapira G., Suez J., Mor U., Dori-Bachash M., Bashiardes S., Kotler E., Zur M., Regev-Lehavi D., Brik R.B., et al. Personalized Gut Mucosal Colonization Resistance to Empiric Probiotics Is Associated with Unique Host and Microbiome Features. Cell. 2018;174:1388–1405 e1321. doi: 10.1016/j.cell.2018.08.041. [DOI] [PubMed] [Google Scholar]
  • 264.Gibson M.K., Pesesky M.W., Dantas G. The Yin and Yang of bacterial resilience in the human gut microbiota. J. Mol. Biol. 2014;426:3866–3876. doi: 10.1016/j.jmb.2014.05.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 265.Jonkers W., Dong Y., Broz K., Kistler H.C. The Wor1-like protein Fgp1 regulates pathogenicity, toxin synthesis and reproduction in the phytopathogenic fungus Fusarium graminearum. PLoS Pathog. 2012;8 doi: 10.1371/journal.ppat.1002724. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 266.Derwa Y., Gracie D., Hamlin P., Ford A. Systematic review with meta-analysis: The efficacy of probiotics in inflammatory bowel disease. Aliment. Pharmacol. Ther. 2017;46:389–400. doi: 10.1111/apt.14203. [DOI] [PubMed] [Google Scholar]
  • 267.Cui H.-H., Chen C.-L., Wang J.-D., Yang Y.-J., Cun Y., Wu J.-B., Liu Y.-H., Dan H.-L., Jian Y.-T., Chen X.-Q. Effects of probiotic on intestinal mucosa of patients with ulcerative colitis. World J. Gastroenterol. 2004;10:1521. doi: 10.3748/wjg.v10.i10.1521. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 268.Sood A., Midha V., Makharia G.K., Ahuja V., Singal D., Goswami P., Tandon R.K. The probiotic preparation, VSL# 3 induces remission in patients with mild-to-moderately active ulcerative colitis. Clin. Gastroenterol. Hepatol. 2009;7:1202–1209.e1201. doi: 10.1016/j.cgh.2009.07.016. [DOI] [PubMed] [Google Scholar]
  • 269.Tursi A., Brandimarte G., Papa A., Giglio A., Elisei W., Giorgetti G.M., Forti G., Morini S., Hassan C., Pistoia M.A. Treatment of relapsing mild-to-moderate ulcerative colitis with the probiotic VSL# 3 as adjunctive to a standard pharmaceutical treatment: A double-blind, randomized, placebo-controlled study. Am. J. Gastroenterol. 2010;105:2218. doi: 10.1038/ajg.2010.218. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 270.Burcelin R., Cani P.D., Amar J. Response to Comment on: Cani et al.(2007) Metabolic Endotoxemia Initiates Obesity and Insulin Resistance: Diabetes 56: 1761–1772. Diabetes. 2007;56:e21. doi: 10.2337/db07-1262. [DOI] [PubMed] [Google Scholar]
  • 271.Zhang D., Vahala R., Wang Y., Smets B.F. Microbes in biological processes for municipal landfill leachate treatment: Community, function and interaction. Int. Biodeterior. Biodegrad. 2016;113:88–96. doi: 10.1016/j.ibiod.2016.02.013. [DOI] [Google Scholar]
  • 272.Suez J., Zmora N., Segal E., Elinav E. The pros, cons, and many unknowns of probiotics. Nat. Med. 2019;25:716–729. doi: 10.1038/s41591-019-0439-x. [DOI] [PubMed] [Google Scholar]

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