Next Article in Journal
Can Milk Affect Recovery from Simulated Team-Sport Match Play?
Next Article in Special Issue
Nutritional Aspects in Inflammatory Bowel Diseases
Previous Article in Journal
Animal Protein Intake Is Associated with General Adiposity in Adolescents: The Teen Food and Development Study
Previous Article in Special Issue
Eating Disorders and Gastrointestinal Diseases
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Role of Overweight and Obesity in Gastrointestinal Disease

by
Sara Emerenziani
*,
Michele Pier Luca Guarino
,
Laura Maria Trillo Asensio
*,
Annamaria Altomare
,
Mentore Ribolsi
,
Paola Balestrieri
and
Michele Cicala
Gastroenterology Unit, University Campus Bio-Medico di Roma, via Álvaro del Portillo 21, 00128 Rome, Italy
*
Authors to whom correspondence should be addressed.
Nutrients 2020, 12(1), 111; https://doi.org/10.3390/nu12010111
Submission received: 19 October 2019 / Revised: 28 November 2019 / Accepted: 20 December 2019 / Published: 31 December 2019
(This article belongs to the Special Issue The Relationship between Nutrition and Digestive Diseases)

Abstract

:
The prevalence of obesity is increasing worldwide, leading to a severe impairment of overall health. Actually, obesity has been associated with several pathological conditions, causing an excess overall mortality. In particular, overweight and obesity are well known risk factors for a variety of gastrointestinal (GI) disorders i.e., functional GI disorders as well as, inflammatory bowel disease (IBD), pancreatitis, and GI cancer. The aim of the present review is to summarize the potential role of overweight and obesity in GI disease with particular focus on plausible biological mechanisms that could explain the association between obesity and GI disease based on the most recent evidence in the literature.

1. Introduction

Prevalence of obesity is increasing worldwide and it is becoming one of the major healthissuein adult population, as well as among children and adolescents. The World Health Organization (WHO) defines obesity as excessive body fat accumulation, which is associated with several risks to health. To overcome the difficulties associated with measuring and classifying the percentage of body fat, the WHO established the body mass index (BMI) as the specific parameter to define overweight and obesity. According to BMI, individuals are allocated to overweight or obesity state as it is shown in Table 1.
Nevertheless, BMI does not allow a complete assessment of body composition, as it does not discriminate fat-free mass from adipose tissue. Thus, a subject with normal BMI (18.5–24.9 kg/m2) could have either an appropriate body fat percentage or an excess of fat that might be hidden by normal values of BMI [1]. Obesity is associated with a large decrease in life expectancy. It is well known that obesity is a worldwide health concern that leads to an increased risk for several diseases apart from GI disease, most notably cardiovascular diseases, diabetes, and cancers; moreover, in the last years several evidencesuggesta strong association between obesity and a large decrease in life expectancy [2,3,4,5]. Different mechanisms may link obesity and GI disease ranging from mechanical, pro-tumoral, pro-cancerogenic, and dietary factors as shown in Table 2.
Obesity is not only a risk factor for the occurrence of several GI disorders but also can negatively impact clinical outcomes mostly by reducing response to specific treatment. Figure 1.
In general, it has been demonstrated that obesity might affect gastric GI motility. A very recent study has pointed out that peptides secreted by adipocytes, namely, leptin, adiponectin, nesfatin-1, and apelin, are able to modulate GI motility, acting both centrally and peripherally. It is time to emphasize the interplay between the adipose tissue, the central nervous system, and GI tract both in physiological or pathophysiological conditions. Since consistent data from literature support the role of peripheral signals in determining the GI motor responses and the regulation of food intake, this pathway could represent an opportunity to reveal novel therapeutic approaches either for obesity or for GI disease [18].
Moreover, both quantitative and qualitative modifications of gut microbiota observed in obese patients are related to several pathophysiological mechanisms, which could explain the relationship between obesity and GI disease as shown in Figure 2.
The aim of the present review is to outline the major plausible mechanisms that could explain the association between overweight/obesity and GI disease by reviewing the current literature with particular focus on clinical studies published in qualified journals according to the impact factor.

1.1. Upper GI Disorders

1.1.1. Gastro-Esophageal Reflux Disease (GERD)

Gastro-esophageal reflux disease (GERD), is defined on the basis of chronic and recurrent typical symptoms, i.e., pyrosis and acid regurgitation as well as extra-esophageal manifestations, demonstrated to impair quality of life (QoL) [19].
The prevalence of GERD disease seems to show important geographical variations: when defined as pyrosis and/or acid regurgitation at least once a week, the prevalence in the Western countries predominantly ranges between 10% and 20% whereas in Asia the prevalence is quoted to be <5% [20]. In the past years, various longitudinal studies have identified different risk factors of GERD and, indeed, obesity is indicated as one of the significant risk factors in this disorder [6]. The raised prevalence of both GERD, in terms of symptomatic disease as well as complicated disease, and obesity has raised interestin the possible link between these two clinical scenario and in the possible explanations for this association. One of the main pathogenetic pathways linking obesity and GERD would seem to be the increased abdominal pressure leading to the relaxation of the lower esophageal sphincter (LES), and thus to the refluxing of the gastric content within the esophageal body [7]. In obesity, it is likely that the retrograde flow of gastric content into the esophagus is increased by an altered gastro-esophageal pressure gradients characteristic in these patients [21].
Therefore, studies conducted by high-resolution manometry have demonstrated that obesity was associated with occurrence of hiatus hernia (HH), a well-known risk factor for GERD. Indeed, it has been shown that body mass index and waist circumference are significantly correlated to the vertical separation of the high pressure zone of the LES and crural diaphragm, hypothesizing that this association was a result of the pressure stress due to the increased intra-gastric volume [22].
A recent study in which BMI, waist-hip-ratio (WHR), and GERD were compared, has pointed out that WHR is significantly associated with esophageal acid exposure and with impaired esophageal acid clearance concluding that WHR is a stronger predictor for pathological acid exposure at distal esophagus than BMI [23]. Despite anthropometric parameters, also body composition plays a pivotal role in the association between obesity and GERD. Actually, pathological parameters, in 24-hour pH impedance study, could be influenced by both mechanical and metabolic factors of visceral fat, which may affect patient selection for ambulatory reflux monitoring.
In this light, a very recent study has shown a significant association between abdominal fat and the site of mucosal breaks at esophago-gastric junction (EGJ) [24].
Moreover, when comparing the visceral fat with BMI and WHR as risk factors for GERD, evidence coming from a recent study has shown that the former is more important than BMI and waist-to-hip ratio as a risk factor for GERD [8]. Moreover, the abdominal obesity correlated with the severity of GERD based on Los Angeles classifications A, B, and C [25].
Abdominal obesity can therefore better justify the link between obesity and the complication of GERD such as Barrett Esophagus (BE) and esophageal adenocarcinoma. Indeed, it has been demonstrated, in GERD patients at high risk for BE, that the body fat is distributed more visceral than truncal as, in a recent study, waist circumference was demonstrated to be a significant risk factor for BE independently of BMI, while the association between BMI and BE vanished following the correction of the abdominal circumference [26]. Interestingly, visceral fat, in addition to mechanical pressure, seems to play a pivotal role as an active tissue from a metabolic point of view, and it has been clearly associated with the levels of adipo-cytokines in the serum including interleukin 6 and tumor necrosis factor α, the same mediators involved in GERD pathogenesis and consequent carcinogenesis [27].
It has been proven that weight loss is one of the few effective lifestyle modifications for GERD [28]. A recent study, carried out in patients with obesity and GERD, have explored the role of a weight control program in patients with reflux. The results of the study showed that GERD symptom severity, as well as body weight [29] improve in parallel with the improvement in lifestyle and with the consequent weight loss, thus confirming the pathogenetic link between obesity and GERD confirming the pathogenetic link between obesity and GERD.

1.1.2. Functional Dyspepsia (FD)

Functional dyspepsia is a GI functional disorder characterized by symptoms, such as epigastric fullness and bloating, nausea, discomfort, and vomiting, which are provoked following food consumption [30]. The temporal correlation between symptoms and meal ingestion tends to drive physician in believing that functional dyspepsia was primarily caused by disorders of gastric motor functions [31]. Recent findings have demonstrated that the regulation of gastric functions, by means of vagal neurocircuits, is a plastic phenomenon, which can be modulated by several factors such as, peripheral and central input; in particular, vagal afferent sensitivity may be stimulated also by nutrient content [32]. Indeed, obesity has been identified as a risk factor for developing functional dyspepsia, particularly obesity is related to impaired gastric motility, gastric emptying rates, and to an increase in gastric volume [33]. In a retrospective study, aimed at comparing visceral and subcutaneous adipose tissue areas between patients complaining of functional dyspepsia, as diagnosed by the Rome criteria, and healthy subjects, it has been shown that visceral adiposity, but not subcutaneous adiposity, is significantly related with dyspepsia [34]. A very recent study confirmed the relationship between obesity and FD also in pediatric populations. In the above-mentioned study the prevalence of FD was assessed in children aged 4–18years oldsuffering from FD and obesity and in normal-weight children. The results showed no significant age and sex differences were found between the 2 groups; in contrast functional GI diseases were significantly more prevalent in obese compared to normal-weight children. A positive association was also found between obesity and irritable bowel syndrome, functional constipation but not for abdominal pain [35].

1.2. Lower GI Disorders

1.2.1. Irritable Bowel Syndrome

Irritable bowel syndrome (IBS) is a GI disorder defined by chronic abdominal pain and changes in bowel habits without any known organic causes [36]. Among others etiopathogenetic factors, such as abnormal motility of intestine, inflammation, visceral hypersensitivity, neurotransmitter imbalance, and disturbance of gut-brain interactions, obesity seems to be involved in the pathogenesis of IBS. In the meantime, few studies explored the association between obesity and IBS. Data from literature have failed to show a possible association between IBS subtypes prevalence and BMI [37], however among IBS patients, those with abdominal obesity likely report frequent symptoms even after correction for possible confounders [38].
This finding confirms results coming from a population based-study showing a relationship between BMI and GI symptoms such as diarrhea [4]. Several factors are common in both obesity and IBS, such as a diet with high amount of refined carbohydrates, or lipids, and low in fiber, disorder of intestinal motility, gut microbiota alteration and inflammation which may explain the link between the two clinical conditions [38].
High serum low density lipoprotein (LDL) levels are an independent predictor of IBS in obese patients probably explained by altered fat absorption due to local low-grade inflammation in the gut or alteration of the gut microbiome [39]. Therefore, as blood lipoprotein levels are mostly regulated by the hepatocytes, non-alcoholic fatty liver disease, which modify the function of hepatocytes, is strongly related to obesity and it has been discussed in relation to IBS [40]. In an interesting study regarding the correlation between abdominal fat and IBS, visceral adiposity was more prevalent in patients with IBS symptoms in respect to the controls [41]. Alteration in visceral fat metabolism influences GI motility and stimulates production of adipokines and immunologic factors, thus emphasizing the role of obesity in the increased risk of IBS. In line with this finding, an increase in visceral adiposity was related to enhanced visceral perception of luminal stimula, dysmotility, and abdominal pain, which are frequent in patients with IBS [42]. Patients with IBS and related disorders have also increased bowel sensitivity to different stimuli; normally, intra-luminal lipids increase perception of concurrent intestinal stimuli and modulate intestinal motor reflexes, and these effects are amplified in IBS patients [43].
Interestingly, it seems that class II obesity is most common in post-infectious IBS (PI-IBS) than in non PI-IBS and controls having similar BMI, and the therapeutic response to IBS-therapy is less favorable in NPI-IBS and PI-IBS obese patients than in NPI-IBS and PI-IBS normal weight patients, supporting the possible correlation between these two pathological conditions [44]. Moreover, an interesting association between obesity and changes in microbiota composition has been hypothesized, confirming the possible link with IBS, in which intestinal microbiome plays an important role in generating symptoms. In germ-free mice, colonization with “obese gut microbiota” increased the fatty tissue and body weight, in contrast to colonization with “slim gut microbiota” [45]. Interestingly, “obese gut microbiota” is characterized by reduced number of Bacteroidetes and increased number of Firmicutes, which is associated with a greater capacity to extract energy from food, thanks to the increased degradation capacity of carbohydrates complexes [46]. Although data regarding IBS microbiota composition are still conflicting, also in these patients a reduced number of Bacteroidetes and an increased level of Firmicutes has been observed [47].
The role of altered microbiome in obese patients was confirmed by two animal models of insulin resistance, in which two weeks of treatments with norfloxacin and ampicillin had significantly improved fasting glycaemia and oral glucose tolerance, reducing liver triglycerides and plasma lipopolysaccharide (LPS) and increasing adiponectin also correlated with improved glucose tolerance [48]. Dysbiotic microbiota is also able to stimulate an increased intestinal mucosal penetration of different pathogens, and their metabolites, promoting a local low grade of inflammation, which is another interesting factor involved in this link between obesity and IBS, both characterized by the release of inflammatory mediators that can irritate intestinal nerve endings [49].

1.2.2. Diverticulosis

Obesity is also associated to an increased risk of colonic diverticulosis [50]. Diverticulosis of the colon is an anatomic alteration of the colonic wall characterized by the presence of extroflexions that occur when colonic mucosa and sub-mucosa herniate through defects in the muscle layer of the colon wall [51]. In a prospective study aimed at assessing prevalence of diverticula in patients undergoing lower GI endoscopy it has been demonstrated that the prevalence of diverticulosis appeared to increase with a higher BMI compared with participants with a normal BMI. In particular, the multivariable adjusted odd ratios for diverticulosis were 3.02 (95% Confidence interval [CI], 1.33–6.88) and 4.43 (95% CI, 1.88–10.49) among participants with a BMI of 25.0–29.9 kg/m2 and 30.0 kg/m2 or greater, respectively [9]. Different plausible mechanisms linking obesity and diverticulosis have been proposed. Difference of gut bacterial flora between obese and non-obese subjects may play a role in the development of colonic diverticulosis. Previous studies have demonstrated a higher concentration of methane in the colon of obese subjects with a positive correlation with BMI, which is believed to be a result of altered gut bacterial flora. The higher concentration of methane may increase intraluminal pressure and ultimately contribute to the development of colonic diverticulosis [52]. Moreover, the excess of visceral fat in abdomen might increase the intra-abdominal pressure in obese compared with subjects with normal BMI. The increased intra-abdominal pressure can lead to increased intraluminal pressure and, thus, the higher likelihood of diverticula formation [53]. Finally, it has to born in mind that obesity and diverticulosis share common predisposing factors such as poor eating habit (including inadequate fiber consumption) and physical inactivity. In addition, to the higher risk of occurrence of diverticulosis in obese patients, it has been demonstrated the obesity might also be associated with a higher risk of complication. Indeed, an association has been demonstrated between an increased incidence and severity of complicated diverticular disease [54]. In particular data coming from a population study have shown that among several factors such as hypertension, dyslipidemia, and chronic kidney disease, increasing BMI and increasing visceral adipose tissue were associated with diverticular bleeding [55].

1.2.3. Inflammatory Bowel Disease (IBD)

The incidence of IBD is increasing in parallel with overweight and obesity, with approximately a percentage of 15–40% overweight in patients with IBD [56] The global increasing incidence in IBD seems to be associated with western lifestyle; in particular, it is well known that diet can shape the microbiota composition and impact on host-microbe interactions [57]. It is well recognized that specific dietary factors such as protein and fat can result in increased production of bacterial metabolites, that may be harmful to the gut, stimulating inflammatory processes. On the other hand, bacterial fermentation of non-digestible carbohydrates results in short chain fatty acids (SCFAs), which are an energy source for host epithelial cells and act as signaling molecules with anti-inflammatory, immunomodulatory, anti-oxidative, and improved mucosal barrier effects. Moreover, fat can have effects on the microbiome by release and conversion of bile salts thus negatively modulated the microbiota composition [14].
Results coming from a recent study have pointed out that obesity is a risk factor for occurrence of IBD, mainly Crohn’s disease in respect to Ulcerative colitis [58]. Visceral adiposity is the metabolically active fraction, and could be more predictive of the risk of developing IBD that general obesity determined by the BMI. Indeed, there is evidence that obesity is able to influence not only the occurrence but also the progression of IBD; it has been shown that visceral obesity, in patients with CD, is associated with a higher probability of surgery and of penetrating disease and in ulcerative colitis with an increased risk of relapse [59]. However, in a meta-analysis regarding the evolution of IBD disease, the results showed that obese patients undergone surgery less frequently than non-obese patients (RR 0.82; 95% CI 0.72–0.93). This could be explained by considering that a lower BMI could be the result of the inflammatory progression and that the obesity is a reflection of a less serious IBD [60].
Moreover, obesity might also impair clinical response to treatment, indeed in a longitudinal study in IBD patients, obesity was not only related to higher clinical activity at baseline evaluation, assessed by using validated disease activity indexes, but also to a higher risk of relapse and remaining persistently active compared with patients with normal BMI at 12 months follow-up [61]. These findings confirm previous data showing that obesity can negatively affect response to biologic therapy in patients with ulcerative colitis [62]. Moreover, specific to surgical patients, multiple lines of evidence suggest that obesity may negatively influence surgical outcomes, specifically when obesity is defined according to volumetric analysis of fat distribution, rather than solely BMI [63].

1.3. Pancreatitis

Obesity is recognized as a persistent state of chronic low-grade inflammation, through a systemic and paracrine increase of cytokines, chemokines, and adipokines. Obesity increases leptin secretion from adipocytes and proinflammatory cytokines, such as tumor necrosis factor and interleukins 1 and 6, from macrophages and leukocytes [15]. Obesity, besides its direct impact on inflammation, is also able to modulate the pharmacokinetics of biologic agents, resulting in rapid drug clearance [64]. Thus, obesity could negatively affect both inflammatory GI disease and response to medical therapy.
Intra-abdominal white adipose tissue (WAT) is not considered to be an isolated tissue any more, which store fatty acids serving as passive energy reservoir. The new understanding of WAT as an active secretory organ have changed the point of view also on mesenteric adipocytes no longer considered as simple passive cells in GI disease. There is evidence that several adipose tissue-derived proteins are involved in multiple metabolic and inflammatory pathways [65].
For example, the growing pandemic of obesity has increased acute pancreatitis incidence and severity. The increased incidence is due to increased risk of gallstones, hypertriglyceridemia, diabetes, medications, and bariatric surgery for weight loss interventions. Moreover, obesity worsens acute pancreatitis severity by allowing unregulated lipolysis of visceral fat enriched in unsaturated triglyceride; these alterations are responsible for the occurrence of necrosis [16].

1.4. Nonalcoholic Fatty Liver Disease

Liver function might be impaired by excess body weight, in fact it has been demonstrated that overweight and obesity are associated with elevated biochemical markers of liver damage both in adults and in adolescent [66,67]. In particular, consistent data from literature have pointed out a clear relationship between obesity and nonalcoholic fatty liver disease (NAFLD) being insulin resistant is a main driven factor [68]. The clinical relevance of the nonalcoholic fatty liver disease (NAFLD) derives mostly from its high prevalence in the general population, its associated risk for progression to nonalcoholic steatohepatitis (NASH), hepatic fibrosis, and cirrhosis [69]. Moreover, the rising incidence and prevalence of childhood obesity suggests that NAFLD is likely to become an even greater contributor to society’s burden of liver disease in the future. Intestinal microbiota, beside the main function of metabolize dietary fiber, is also able to collect energy from dietary sources, indeed it has been demonstrated that obesity may modulate microbiota leading to accumulation of triglycerides in the hepatocyte. Moreover, the modification of the activity of the microbiota in obese patients is related to the impairment of intestinal permeability. Reduced intestinal barrier function leads to hepatic exposure to gut-derived products, which stimulates liver cells to generate inflammatory mediators that inhibit insulin actions [70]. In obesity, the insulin sensitivity of peripheral tissue is impaired because of the adipokines, soluble factors released form adipose depots [71]. Insulin resistant promotes hyperglycemia thus leading the pancreas to produce more insulin to maintain glucose homeostasis. However, hyperinsulinemia also promotes lipid uptake, fat synthesis and fat storage. Recently, it has been carried out a study in mice, aimed to assess the role of long-term (80 weeks) high fat diet (60% fat, 20% protein, 20% carbohydrate) on liver pathology, fibrosis, inflammation, and endoplasmic reticulum (ER) stress. A microbiome analysis has also been performed. The results showed that high fat diet (HFD) feeding promotes obesity, insulin resistance, ER stress, alterations in gut bacterial composition, and NAFLD. In particular, histopathological assessment demonstrated that liver of old mice fed with HFD showed extensive steatosis, portal and lobular inflammation with cell injury (ballooning degeneration of the hepatocytes), and evident fibrosis [72].
Pathogenic role of obesity in NAFLD has been confirmed by outcome study focused on the role of lifestyle changes and dietary modification the treatment of this condition [73]. Indeed, both diet and exercise are recognized as first line therapy; in adults with NAFLD, exercise regimens that improve fitness may be sufficient to reduce hepatic steatosis [74,75]. Indeed, it has been widely demonstrated that, the beneficial effects of the Mediterranean diet on NAFLD could be explained by both the promotion of weight loss and the provision of nutrients and bioactive compounds. Indeed, it has been demonstrated that polyphenols, vitamins, and terpenes, may display an anti-inflammatory effect in the liver thus leading to a reduction in the oxidative stress [76].

1.5. GI Cancer

Cancer is the major causes of death worldwide. Moreover, the number of cancer is increasing because of the growth of the populations, of age, and the adoption of lifestyle behaviors linked to increased cancer risk. A causal association between body fatness and different types of cancer is supported by strong evidence; moreover, excess weight is also well-known as a risk factor for cancer mortality overall [10]. As far as concerns GI cancer, being overweight and obesity have been associated with an increased risk of developing esophageal, gastric, hepatocellular, pancreatic, and colorectal cancer. Based on available data, it is reasonable that strategies aimed at encouraging the consumption of a healthy diet, such as Mediterranean diet, and the practice of regular physical activity are needed for weight maintenance and possibly weight loss in obese patients.
Indeed, to date, it is well recognized that avoiding excess body fatness is a way to reduce risk of cancers occurrence together with other lifestyle items such as avoiding smoking and alcohol abuse. An interesting recent investigation has also pointed out that overweight in youth and young adulthood is related to increased risk of many cancers linked to adult weight, this evidence supports the need of preventing strategies [77]. Indeed, it has been demonstrated that being physically active since childhood, may lower the risks of developing breast, colon, and endometrial cancer [78].
One plausible molecular mechanism for obesity-associated carcinogenesis is the chronic inflammatory state, which is the result of the activity of the visceral adipose tissue leading to the release of inflammatory cytokines and mediators [79]. Moreover, insulin resistance plays a promoting role in the pathogenesis of GI cancers [80].
Colon cancer is the third most common cancer among men and women and the second most common cause of cancer death [81]. Consistent data from the literature have pointed out a dose-response relationship between BMI, as well as waist circumference, and increased risk of the disease, with risk generally higher in men than in women [82]. A meta-analysis of 30 prospective studies by Larsson and Wolk reported that for every 5 kg/m2 increase in BMI, the risk of colorectal cancer increased by 30% [11]. Among several factors, a very recent population based study carried out in the USA confirmed that obesity, diabetes mellitus, family history of other malignancy, and smoking independently increase the odds ratio for the occurrence of colorectal cancer [83]. Inflammatory cytokines appear to play a key role in linking obesity and colorectal carcinogenesis particularly so for IL-6 and tumor necrosis factor-α [84,85]; a recent study also describing IL-13 as a potential factor involved in the development of obesity-related colon cancer onset [86]. As it was the case for colon rectal cancer, also for the gastro-esophageal cancer a positive relationship between abdominal obesity and cancer occurrence has been described. Visceral fat may impair the gastro-esophageal junction not only mechanically but also systemically via metabolic/inflammatory pathways involving free fatty acids, tumor necrosis factor α (TNFα), leptin, and resist in, and insulin-like growth factor (IGF-1) [87]. Overweight and obesity is also associated with higher risk of liver cancer as well as to negative clinical outcomes, such as time to recurrence, disease-free survival, and overall survival among patients with hepatocellular carcinoma and pancreas cancer [88,89].

1.6. Role of Lipid and Dietary Pattern in GI Symptoms

Obese people often have increased habitual energy and fat intakes, particularly obese patients show a dietary model characterized of lower intake of fruit and vegetable and high intake of foods rich in carbohydrates and fat [12]. It has been shown that foods with a high content of fat can stir up GI symptoms in particular functional GI disorders as shown in Figure 3 [90].
Indeed, in patients with IBS, it has been demonstrated that intestinal lipids raise intestinal perception and sensitivity of gut stimuli, by their ability to sensitization of gut mechanoreceptors [91]. Fat can also affect the quality of perception of upper gut sensations. Such as, it has been demonstrated in patients with functional dyspepsia compared to healthy volunteers, that infusion of lipid within the duodenum incites strongly greater symptoms, such as nausea, epigastric fullness and bloating. Moreover, fat may also have enhanced sensitivity to gastric distension [92]. In addition, both nausea and pain scores were lower following consumption of a high-carbohydrate yogurt, with the same volume and the same caloric to the high-fat yogurt. Lipids are also able to enhance perception of intestinal stimuli as well as modulate intestinal motor reflexes in patients with IBS [93]. Duodenal lipid increases the frequency of transient lower esophageal sphincter relaxations in patients with GERD, associated with an enhancement number of reflux episodes [94].
Lipid may also be able to affect GI motility, in particular, lipids can impede small bowel motility, in fact intestinal gas transit is slower by fat leading to bloating. On the other hand, duodenal lipids boost the movement in the colon [95]. It has been hypothesized that the gut hormones associated to lipid presence such as, GLP-1 and PYY might be the link between fat an occurrence and severity of symptoms in functional GI disorders [17].
Nutrition and high intake of saturated fats, besides the important environmental factors for obesity and for the development of GI symptoms, might also be able to modulate the gut microbiota. Recent data coming from experimental studies in mice have pointed out the role of dietary lipids in altering gut composition and functions. In particular, it has been shown that the microbiota composition both in the stomach and in the gut was clearly different between long- term high fat diet and short-term high fat diet which was related to the deterioration of metabolic profile [13]. This data is in keeping with previous findings showing that a 5-week high fat feeding significantly altered the body weight and metabolic parameters in mice. Interesting the subsequent introduction of a low fat diet for 2 weeks normalized body weight gain to that of the control-diet fed mice as well as restored the metabolic parameters to the levels of the control group [96].

2. Conclusions

A consistent body of evidence supports the relationship between excess adiposity and elevated risks of developing gastrointestinal disease. The presence of obesity not only increases the risk of developing gastrointestinal diseases but also is also associated with more severe disease phenotypes and a lower response to treatments, thus leading to more unfavorable clinical outcomes in general with consequent clinical and economic burden. Additionally, the relationship between obesity and GI disease is also true for the pediatric population. These results support the urgent need to implement not only effective therapeutic strategies but also prevention programs for childhood obesity.

Author Contributions

S.E. and L.M.T.A. conceived and designed the paper, A.A., M.R. and P.B. wrote the paper, M.P.L.G. and M.C. critically reviewed the paper. Authorship must be limited to those who have contributed substantially to the work reported. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

We are grateful to Anna Nielsen-Scott for help in English style.

Conflicts of Interest

The authors declare no conflict of interest related to this publication.

References

  1. World Health Organization. Physical Status: The Use and Interpretation of Anthropometry; World Health Organization: Geneva, Switzerland, 1995; pp. 1–452. [Google Scholar]
  2. De Lorenzo, A.; Del Gobbo, V.; Premrov, M.G.; Bigioni, M.; Galvano, F.; Di Renzo, L. Normal-weight obese syndrome: Early inflammation? Am. J. Clin. Nutr. 2007, 85, 40–45. [Google Scholar] [CrossRef] [Green Version]
  3. Wang, Y.C.; McPherson, K.; Marsh, T.; Gortmaker, S.L.; Brown, M. Health and economic burden of the projected obesity trends in the USA and the UK. Lancet 2011, 378, 815–825. [Google Scholar] [CrossRef]
  4. Degado-Aros, S.; Locke, G.R.; Camilleri, M.; Talley, N.J.; Fett, S.; Zinsmeister, A.R.; Melton, L.J. Obesity is associated with increased risk of gastrointestinal symptom. Am. J. Gastroenterol. 2004, 99, 1801–1806. [Google Scholar] [CrossRef] [PubMed]
  5. Ballou, S.; Singh, P.; Rangan, V.; Iturrino, J.; Nee, J.; Lembo, A. Obesity is associated with significantly increased risk for diarrhoea after controlling for demographic, dietary and medical factors: A cross-sectional analysis of the 2009–2010 National Health and Nutrition Examination Survey. Aliment. Pharmacol. Ther. 2019, 9, 1019–1024. [Google Scholar] [CrossRef] [PubMed]
  6. Emerenziani, S.; Rescio, M.P.; Guarino, M.P.; Cicala, M. Obesity and GERD were is the link? World J. Gastroenterol. 2013, 39, 6536–6539. [Google Scholar] [CrossRef] [PubMed]
  7. Pandolfino, J.E.; El-Serag, H.B.; Zhang, Q.; Shah, N.; Ghosh, S.K.; Kahrilas, P.J. Obesity: A challenge to esophagogastric junction integrity. Gastroenterology 2006, 130, 639–649. [Google Scholar] [CrossRef]
  8. Ze, E.Y.; Kim, B.J.; Kang, H.; Kim, J.G. Abdominal Visceral to Subcutaneous Adipose Tissue Ratio is Associated with Increased Risk of Erosive Esophagitis. Dig. Dis. Sci. 2017, 62, 1265–1271. [Google Scholar] [CrossRef] [Green Version]
  9. Mashayekhi, R.; Bellavance, D.R.; Chin, S.M.; Maxner, B.; Staller, K.; Xavier, R.J.; Chung, D.C.; Khalili, H. Obesity, but Not Physical Activity, is Associated with Higher Prevalence of Asymptomatic Diverticulosis. Clin. Gastroenterol. Hepatol. 2018, 16, 586–587. [Google Scholar] [CrossRef] [Green Version]
  10. Lauby-Secretan, B.; Scoccianti, C.; Loomis, D.; Grosse, Y.; Bianchini, F.; Straif, K. Body fatness and cancer–viewpoint of the IARC Working Group. N. Engl. J. Med. 2016, 8, 794–798. [Google Scholar] [CrossRef] [Green Version]
  11. Larsson, S.C.; Wolk, A. Obesity and colon and rectal cancer risk: A meta-analysis of prospective studies. Am. J. Clin. Nutr. 2007, 86, 556–565. [Google Scholar] [CrossRef] [Green Version]
  12. Stewart, J.E.; Seimon, R.V.; Otto, B.; Keast, R.S.; Clifton, P.M.; Feinle-Bisset, C. Marked differences in gustatory and gastrointestinal sensitivity to oleic acid between lean and obese men. Am. J. Clin. Nutr. 2011, 93, 703–711. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Cong, H.; Cheng, D.; Peng, C.; Li, Y.; Zhu, Y.; Lu, N. High-Fat Diet Induces Dysbiosis of Gastric Microbiota Prior to Gut Microbiota in Association with Metabolic Disorders in Mice. Front. Microbiol. 2018, 9, 639. [Google Scholar]
  14. Staley, C.; Weingarden, A.R.; Khoruts, A.; Sadowsky, M. Interaction of Gut Microbiota with Bile Acid Metabolism and its Influence on Disease States. Appl. Microbiol. Biotechnol. 2017, 101, 47–64. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Kredel, L.; Batra, A.; Siegmund, B. Role of fat and adipokines in intestinal inflammation. Curr. Opin. Gastroenterol. 2014, 30, 559–565. [Google Scholar] [CrossRef]
  16. Khatua, B.; El-Kurdi, B.; Singh, V.P. Obesity and pancreatitis. Curr. Opin. Gastroenterol. 2017, 33, 374–382. [Google Scholar] [CrossRef]
  17. Feinle-Bisset, C. Upper gastrointestinal sensitivity to meal-related signals in adult humans—Relevance to appetite regulation and gut symptoms in health, obesity and functional dyspepsia. Physiol. Behav. 2016, 162, 69–82. [Google Scholar] [CrossRef]
  18. Idrizaj, E.; Garella, R.; Squecco, R.; Baccari, M.C. Adipocytes-released Peptides Involved in the Control of Gastrointestinal Motility. Curr. Protein Pept. Sci. 2019, 6, 614–629. [Google Scholar] [CrossRef]
  19. Richter, J.E.; Rubenstein, J.H. Presentation and Epidemiology of Gastroesophageal Reflux Disease. Gastroenterology 2018, 154, 267–276. [Google Scholar] [CrossRef]
  20. Dent, J.; El-Serag, H.B.; Wallander, M.A.; Johansson, S. Epidemiology of gastro-oesophageal reflux disease: A systematic review. Gut 2005, 54, 710–717. [Google Scholar] [CrossRef]
  21. El-Serag, H.; Tran, T.; Richardson, P.; Ergun, G. Anthropometric correlates of intragastric pressure. Scand. J. Gastroenterol. 2006, 41, 887–891. [Google Scholar] [CrossRef]
  22. Pandolfino, J.E.; Kim, H.; Ghosh, S.K.; Clarke, J.O.; Zhang, Q.; Kahrilas, P.J. High-resolution manometry of the EGJ: An analysis of crural diaphragm function in GERD. Am. J. Gastroenterol. 2007, 102, 1056–1063. [Google Scholar] [CrossRef] [PubMed]
  23. Ringhofer, C.; Lenglinger, J.; Riegler, M.; Kristo, I.; Kainz, A.; Schoppmann, S.F. Waist to hip ratio is a better predictor of esophageal acid exposure than body mass index. Neurogastroenterol. Motil. 2017, 29, e13033. [Google Scholar] [CrossRef] [PubMed]
  24. Nam, J.H.; Cho, E.; Kim, J.; Park, E.C.; Kim, J.H. Influences of Visceral Fat Area on the Sites of Esophageal Mucosal Breaks in Subjects with Gastroesophageal Reflux Diseases. Gastroenterol. Res. Pract. 2019, 17, 1–9. [Google Scholar] [CrossRef] [PubMed]
  25. Nam, S.Y.; Choi, I.J.; Ryu, K.H.; Park, B.J.; Kim, H.B.; Nam, B.H. Abdominal visceral adipose tissue volume is associated with increased risk of erosive esophagitis in men and women. Gastroenterology 2010, 139, 1902–1911. [Google Scholar] [CrossRef]
  26. Stein, D.J.; El-Serag, H.B.; Kuczynski, J.; Kramer, J.R.; Sampliner, R.E. The association of body mass index with Barrett’s oesophagus. Aliment. Pharmacol. Ther. 2005, 22, 1005–1010. [Google Scholar] [CrossRef]
  27. Singh, S.; Sharma, A.N.; Murad, M.H.; Buttar, N.S.; El-Serag, H.B.; Katzka, D.A.; Iyer, P.G. Central adiposity is associated withincreased risk of esophageal inflammation, metaplasia, and adenocarcinoma: A systematic review and meta-analysis. Clin. Gastroenterol. Hepatol. 2013, 11, 1399–1412. [Google Scholar] [CrossRef] [Green Version]
  28. Ness-Jensen, E.; Hveem, K.; El-Serag, H.; Lagergren, J. Lifestyle Intervention in Gastroesophageal Reflux Disease. Clin. Gastroenterol. Hepatol. 2016, 14, 175–182. [Google Scholar] [CrossRef] [Green Version]
  29. Yadlapati, R.; Pandolfino, J.E.; Alexeeva, O.; Gregory, D.L.; Craven, M.R.; Liebovitz, D.; Lichten, A.; Seger, E.; Workman, M.; St Peter, N.; et al. The Reflux Improvement and Monitoring (TRIM) Program Is Associated with Symptom Improvement and Weight Reduction for Obese Patients with Gastroesophageal Reflux Disease. Am. J. Gastroenterol. 2018, 113, 23–30. [Google Scholar] [CrossRef]
  30. Tack, J.; Talley, N.J. Functional dyspepsia--symptoms, definitions and validity of the Rome III criteria. Nat. Rev. Gastroenterol. Hepatol. 2013, 10, 134–141. [Google Scholar] [CrossRef]
  31. Feinle-Bisset, C.; Vozzo, R.; Horowitz, M.; Talley, N.J. Diet, food intake, and disturbed physiology in the pathogenesis of symptoms in functional dyspepsia. Am. J. Gastroenterol. 2004, 99, 170–181. [Google Scholar] [CrossRef]
  32. Browning, K.N.; Travagli, R.A. Central control of gastrointestinal motility. Curr. Opin. Endocrinol. Diabetes Obes. 2019, 26, 11–16. [Google Scholar] [CrossRef] [PubMed]
  33. Enck, P.; Azpiroz, F.; Boeckxstaens, G.; Elsenbruch, S.; Feinle-Bisset, G.; Holtmann, G.; Jeffry, M.; Lackner, J.M.; Ronkainen, J.; Schemann, M.; et al. Functional dyspepsia. Nat. Rev. Dis. Primers. 2017, 3, 17081. [Google Scholar] [CrossRef] [PubMed]
  34. Jung, J.G.; Yang, J.N.; Lee, C.G.; Choi, S.H.; Kwack, W.G.; Lee, J.H.; Kang, H.W. Visceral adiposity is associated with an increased risk of functional dyspepsia. J. Gastroenterol. Hepatol. 2016, 31, 567–574. [Google Scholar] [CrossRef] [PubMed]
  35. Tambucci, R.; Quitadamo, P.; Ambrosi, M.; De Angelis, P.; Angelino, G.; Stagi, S.; Verrotti, A.; Staiano, A.; Farello, G. Association between Obesity/Overweight and Functional Gastrointestinal Disorders in Children. J. Pediatr. Gastroenterol. Nutr. 2019, 4, 517–520. [Google Scholar] [CrossRef] [PubMed]
  36. Longstreth, G.F.; Thompson, W.G.; Chey, W.D.; Houghton, L.A.; Mearin, F.; Spiller, R.C. Functional bowel disorders. Gastroenterology 2006, 130, 1480–1491. [Google Scholar] [CrossRef]
  37. Talley, N.; Quan, C.; Jones, M.; Horowitz, M. Association of upper and lower gastrointestinal tract symptoms with body mass index in an Australian cohort. Neurogastroenterol. Motil. 2004, 16, 413–419. [Google Scholar] [CrossRef]
  38. Aasbrenn, M.; Høgestøl, I.; Eribe, I.; Kristinsson, J.; Lydersen, S.; Mala, T.; Farup, P.J. Prevalence and predictors of irritable bowel syndrome in patients with morbid obesity: A cross-sectional study. BMC Obes. 2017, 4, 22. [Google Scholar] [CrossRef] [Green Version]
  39. Ohman, L.; Simren, M. Pathogenesis of IBS: Role of inflammation, immunity and neuroimmune interactions. Nat. Rev. Gastroenterol. Hepatol. 2010, 7, 163–173. [Google Scholar] [CrossRef]
  40. Rinella, M.E. Nonalcoholic fatty liver disease: A systematic review. JAMA 2015, 313, 2263–2273. [Google Scholar] [CrossRef]
  41. Akhondi, N.; MemarMontazerin, S.; Soltani, S.; Saneei, P.; HassanzadehKeshteli, A.; Esmaillzadeh, A.; Adibi, P. General and abdominal obesity in relation to the prevalence of irritable bowel syndrome. Neurogastroenterol. Motil. 2019, 4, 566–576.29. [Google Scholar] [CrossRef]
  42. Rusu, F. Obesity and irritable bowel syndrome: Coincidence or association? J. Gastrointest. Liver Dis. 2018, 2, 205. [Google Scholar]
  43. Mertz, H. Role of the brain and sensory pathways in gastrointestinal sensory disorders in humans. Gut 2002, 51, i29–i33. [Google Scholar] [CrossRef]
  44. Wang, J.; Lu, S.; Zhao, S. Post-infectious and non-post-infectious irritable bowel syndrome: A comparative study. Pak. J. Med. Sci. 2016, 1, 116–119. [Google Scholar] [CrossRef]
  45. Ley, R.E.; Turnbaugh, P.J.; Klein, S.; Gordon, J.I. Microbial ecology: Human gut microbes associated with obesity. Nature 2006, 444, 1022–1023. [Google Scholar] [CrossRef]
  46. Turnbaugh, P.J.; Hamady, M.; Yatsunenko, T.; Cantarel, B.L.; Duncan, A.; Ley, R.E.; Sogin, M.L.; Jones, W.J.; Roe, B.A.; Affourtit, J.P.; et al. A core gut microbiome in obese and lean twins. Nature 2009, 457, 480–484. [Google Scholar] [CrossRef] [Green Version]
  47. Rajilic-Stojanovic, M.; Biagi, E.; Heilig, H.G.; Kajander, K.; Kekkonen, R.A.; Tims, S. Global and deep molecular analysis of microbiota signatures in fecal samples from patients with irritable bowel syndrome. Gastroenterology 2011, 141, 1792–1801. [Google Scholar] [CrossRef]
  48. Membrez, M.; Blancher, F.; Jaquet, M.; Bibiloni, R.; Cani, P.D.; Burcelin, R.G. Gut microbiota modulation with norfloxacin and ampicillin enhances glucose tolerance in mice. FASEB J. 2008, 22, 2416–2426. [Google Scholar] [CrossRef] [Green Version]
  49. Pugliese, G.; Muscogiuri, G.; Barrea, L.; Laudisio, D.; Savastano, S.; Colao, A. Irritable bowel syndrome: A new therapeutic target when treating obesity? Hormones 2019, 1–5. [Google Scholar] [CrossRef]
  50. Violi, A.; Cambiè, G.; Miraglia, C.; Barchi, A.; Nouvenne, A.; Capasso, M.; Leandro, G.; Meschi, T.; De’Angelis, G.L.; Di Mario, F. Epidemiology and risk factors for diverticular disease. Acta Biomed. 2018, 89 (Suppl. S9), 107–112. [Google Scholar]
  51. Tursi, A.; Papagrigoriadis, S. Review article: The current and evolving treatment of colonic diverticular disease. Aliment. Pharmacol. Ther. 2009, 6, 532–546. [Google Scholar] [CrossRef]
  52. Tursi, A.; Mastromarino, P.; Capobianco, D.; Elisei, W.; Miccheli, A.; Capuani, G.; Tomassini, A.; Campagna, G.; Picchio, M.; Giorgetti, G.; et al. Analysis of microbiota and metaboloma in symptomatic uncomplicated diverticular disease of the colon. Gastroenterology 2016, 1, S481–S482. [Google Scholar] [CrossRef]
  53. Wijarnpreecha, K.; Ahuja, W.; Chesdachai, S.; Thongprayoon, C.; Jaruvongvanich, V.; Cheungpasitporn, W.; Ungprasert, P. Obesity and the Risk of Colonic Diverticulosis: A Meta-analysis. Dis. Col. Rectum. 2018, 61, 476–483. [Google Scholar] [CrossRef]
  54. Rodríguez-Wong, U.; Cruz-Rubin, C.; Pinto-Angulo, V.M.; Álvarez, J.G. Obesity and complicated diverticular disease of the colon. Cir. Cir. 2015, 83, 292–296. [Google Scholar] [CrossRef] [Green Version]
  55. Nagata, N.; Sakamoto, K.; Arai, T.; Niikura, R.; Shimbo, T.; Shinozaki, M.; Aoki, T.; Sekine, K.; Okubo, H.; Watanabe, K.; et al. Visceral fat accumulation affects risk of colonic diverticular hemorrhage. Int. J. Colorectal. Dis. 2015, 30, 1399–1406. [Google Scholar] [CrossRef]
  56. 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, 110–121. [Google Scholar] [CrossRef] [Green Version]
  57. Singh, R.K.; Chang, H.W.; Yan, D.; Lee, K.M.; Ucmak, D.; Wong, K.; Abrouk, M.; Farahnik, B.; Nakamura, M.; Zhu, T.H.; et al. Influence of diet on the gut microbiome and implications for human health. J. Transl. Med. 2017, 15, 73. [Google Scholar] [CrossRef] [Green Version]
  58. Khalili, H.; Ananthakrishnan, A.N.; Konijeti, G.G.; Higuchi, L.M.; Fuchs, C.S.; Richter, J.M.; Richter, J.M.; Chan, A.T. Measures of obesity and risk of Crohn’s disease and ulcerative colitis. Inflamm. Bowel Dis. 2015, 21, 361–368. [Google Scholar] [CrossRef] [Green Version]
  59. Van Der Sloot, K.W.; Joshi, A.D.; Bellavance, D.R.; Gilpin, K.K.; Stewart, K.O.; Lochhead, P.; Garber, J.J.; Giallourakis, C.; Yajnik, V.; Ananthakrishnan, A.N.; et al. Visceral adiposity, genetic susceptibility, and risk of complications among individuals with Crohn’s disease. Inflamm. Bowel Dis. 2017, 23, 82–88. [Google Scholar] [CrossRef] [Green Version]
  60. Hu, Q.; Ren, J.; Li, G.; Wu, X.; Li, J. The Impact of Obesity on the Clinical Course of Inflammatory Bowel Disease: A Meta-Analysis. Med. Sci. Monit. 2017, 23, 2599–2606. [Google Scholar] [CrossRef] [Green Version]
  61. Jain, A.; Nguyen, N.H.; Proudfoot, J.A.; Martin, C.F.; Sandborn, W.J.; Kappelman, M.D.; Long, M.D.; Singh, S. Impact of Obesity on Disease Activity and Patient-Reported Outcomes Measurement Information System (PROMIS) in Inflammatory Bowel Diseases. Am. J. Gastroenterol. 2019, 114, 630–639. [Google Scholar] [CrossRef]
  62. Singh, S.; Facciorusso, A.; Singh, A.; VandeCasteele, N.; Zarrinpar, A.; Prokop, L.; Grunvald, E.; Curtis, J.; Sandborn, W. Obesity and response to antitumor necrosis factor-alpha agents in patients with select immunomediated inflammatory diseases: A systematic review and meta-analysis. PLoS ONE 2018, 13, e0195123. [Google Scholar] [CrossRef] [Green Version]
  63. Onnelly, T.M.; Juza, R.M.; Sangster, W.; Sehgal, R.; Tappouni, R.F.; Messaris, E. Volumetric fat ratio and not body mass index is predictive of ileocolectomy outcomes in Crohn’s disease patients. Dig. Surg. 2014, 31, 219–224. [Google Scholar] [CrossRef]
  64. Dotan, I.; Ron, Y.; Yanai, H.; Becker, S.; Fishman, S.; Yahav, L.; Ben Yehoyada, M.; Mould, D.R. Patient factors increase infliximab clearance and shorten half-life in inflammatory bowel disease: A population pharmacokinetic study. Inflamm. Bowel Dis. 2014, 20, 2247–2259. [Google Scholar] [CrossRef]
  65. Longo, M.; Zatterale, F.; Naderi, J.; Parrillo, L.; Formisano, P.; Alexander Raciti, G.; Beguinot, F.; Miele, C. Adipose Tissue Dysfunction as Determinant of Obesity-Associated Metabolic Complications. Int. J. Mol. Sci. 2019, 20, 2358. [Google Scholar] [CrossRef] [Green Version]
  66. Johansen, M.J.; Gade, J.; Stender, S.; Frithioff-Bøjsøe, C.; Lund, M.A.V.; Chabanova, E.; Thomsen, H.S.; Pedersen, O.; Fonvig, C.E.; Hansen, T.; et al. The effect of overweight and obesity on liver biochemical markers in children and adolescents. J. Clin. Endocrinol. Metab. 2019, 16, dgz010. [Google Scholar] [CrossRef]
  67. Sandra Milić, S.; Lulić, D.; Štimac, D. Non-alcoholic fatty liver disease and obesity: Biochemical, metabolic and clinical presentations. World J. Gastroenterol. 2014, 28, 9330–9337. [Google Scholar]
  68. Flores-Ramírez, A.G.; Ibarra-Reynoso, L.D.R.; López-Lemus, H.L.; Olvera-Juárez, M.; Luevano-Contreras, C.; Garay-Sevilla, M.E. Insulin-like growth factor binding protein-1, non-alcoholic fatty liver disease, and its relationship with fructose consumption in children with obesity. Rev. Invest. Clin. 2019, 5, 339–348. [Google Scholar] [CrossRef] [Green Version]
  69. Margini, C.; Dufour, J.F. The story of HCC in NAFLD: From epidemiology, across pathogenesis, to prevention and treatment. Liver Int. 2016, 36, 317–324. [Google Scholar] [CrossRef] [Green Version]
  70. Lau, L.H.; Wong, S.H. Microbiota, Obesity and NAFLD. Adv. Exp. Med. Biol. 2018, 1061, 111–125. [Google Scholar]
  71. Paniagua, J.A.; Escandell-Morales, J.M.; Gil-Contreras, D.; de la Rosa, F.B.; Romero-Jimenez, M.; Gómez-Urbano, A.; Sanchez-Lopez, A.; Bellido, E.; Poyato, A.; Calatayud, B.; et al. Central obesity and altered peripheral adipose tissue gene expression characterize the NAFLD patient with insulin resistance: Role of nutrition and insulin challenge. Nutrition 2014, 30, 177–185. [Google Scholar] [CrossRef]
  72. Velázquez, K.T.; Enos, R.T.; Bader, J.E.; Sougiannis, A.T.; Carson, M.S.; Chatzistamou, I.; Carson, J.A.; Nagarkatti, P.S.; Nagarkatti, M.; Murphy, E.A. Prolonged high-fat-diet feeding promotes non-alcoholic fatty liver disease and alters gut microbiota in mice. World J. Hepatol. 2019, 8, 619–637. [Google Scholar] [CrossRef] [PubMed]
  73. Caldwell, S.; Lazo, M. Is exercise an effective treatment for NASH? Knowns and unknowns. Ann. Hepatol. 2009, 8, S60–S66. [Google Scholar] [CrossRef]
  74. Neuman, M.G.; Nanau, R.M.; Cohen, L.B. Nonmedicinal interventions in nonalcoholic fatty liver disease. Can. J. Gastroenterol. Hepatol. 2015, 5, 241–252. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  75. Romero-Gómez, M.; Zelber-Sagi, S.; Trenell, M. Treatment of NAFLD with diet, physical activity and exercise. J. Hepatol. 2017, 67, 829–846. [Google Scholar] [CrossRef] [Green Version]
  76. Suárez, M.; Boqué, N.; Del Bas, J.; Mayneris-Perxachs, J.; Arola, L.; Caimari, A. Mediterranean Diet and Multi-Ingredient-Based Interventions for the Management of Non-Alcoholic Fatty Liver Disease. Nutrients 2017, 22, 9. [Google Scholar] [CrossRef] [Green Version]
  77. Genkinger, J.M.; Kitahara, C.M.; Bernstein, L.; Berrington de Gonzalez, A.; Brotzman, M.; Elena, J.W.; Giles, G.G.; Hartge, P.; Singh, P.N.; Stolzenberg-Solomon, R.Z.; et al. Central adiposity, obesity during early adulthood, and pancreatic cancer mortality in a pooled analysis of cohort studies. Ann. Oncol. 2015, 26, 2257–2266. [Google Scholar] [CrossRef] [Green Version]
  78. Hidayat, K.; Zhou, H.J.; Shi, B.M. Influence of physical activity at a young age and lifetime physical activity on the risks of 3 obesity-related cancers: Systematic review and meta-analysis of observational studies. Nutr. Rev. 2019, 78, 1–18. [Google Scholar] [CrossRef]
  79. Lumeng, C.N.; Bodzin, J.L.; Saltiel, A.R. Obesity induces a phenotypic switch in adipose tissue macrophage polarization. J. Clin. Investig. 2007, 117, 175–184. [Google Scholar] [CrossRef] [Green Version]
  80. Fritz, J.; Bjørge, T.; Nagel, G.; Manjer, J.; Engeland, A.; Häggström, C.; Concin, H.; Teleka, S.; Tretli, S.; Gylling, B.; et al. The triglyceride-glucose index as a measure of insulin resistance and risk of obesity-related cancers. Int. J. Epidemiol. 2019. [Google Scholar] [CrossRef] [Green Version]
  81. Bray, F.; Ferlay, J.; Soerjomataram, I.; Siegel, R.L.; Torre, L.; Jemal, A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2018, 68, 394–424. [Google Scholar] [CrossRef] [Green Version]
  82. Winkels, R.M.; Heine-Bröring, R.C.; Van Zutphen, M.; van Harten-Gerritsen, S.; Kok, D.E.; Van Duijnhoven, F.J.; Kampman, E. The COLON study: Colorectal cancer: Longitudinal, Observational study on Nutritional and lifestyle factors that may influence colorectal tumour recurrence, survival and quality of life. BMC Cancer 2014, 27, 374. [Google Scholar] [CrossRef] [Green Version]
  83. Glover, M.; Mansoor, E.; Panhwar, M.; Parasa, S.; Cooper, G.S. Epidemiology of Colorectal Cancer in Average Risk Adults 20–39 Years of Age: A Population-Based National Study. Dig. Dis. Sci. 2019, 1–8. [Google Scholar] [CrossRef]
  84. Zhang, J.; Wang, C.; Ha, X.; Li, W.; Xu, P.; Gu, Y.; Wang, T.; Wang, Y.; Xie, J. DNA methylation of tumor necrosis factor-alpha, monocyte chemoattractant protein-1, and adiponec-tin genes in visceral adipose tissue is related to type 2 diabetes in the Xinjiang Uygur population. J. Diabetes 2016, 9, 699–706. [Google Scholar] [CrossRef]
  85. Hardwick, J.C.; Van Den Brink, G.R.; Offerhaus, G.J.; Van Deventer, S.J.; Peppelenbosch, M.P. Leptin is a growth factor for colonic epithelial cells. Gastroenterology 2001, 121, 79–90. [Google Scholar] [CrossRef]
  86. Matsui, S.; Okabayashi, K.; Tsuruta, M.; Shigeta, K.; Seishima, R.; Ishida, T.; Kondo, T.; Suzuki, Y.; Hasegawa, H.; Shimoda, M.; et al. Interleukin-13 and its signaling pathway is associated with obesity-related colorectal tumorigenesis. Cancer Sci. 2019, 7, 2156–2165. [Google Scholar] [CrossRef] [PubMed]
  87. Pollak, M. Insulin and insulin like growth factor signaling in neoplasia. Nat. Rev. Cancer 2008, 8, 915–928. [Google Scholar] [CrossRef]
  88. Mathur, A.; Franco, E.S.; Leone, J.P.; Osman-Mohamed, H.; Rojas, H.; Kemmer, N.; Neff, G.W.; Rosemurgy, A.S.; Alsina, A.E. Obesity portends increased morbidity and earlier recurrence following liver transplantation for hepatocellular carcinoma. HPB 2013, 15, 504–510. [Google Scholar] [CrossRef] [Green Version]
  89. Aleksandrova, K.; Stelmach-Mardas, M.; Schlesinger, S. Obesity and Liver Cancer. Recent Results Cancer Res. 2016, 208, 177–198. [Google Scholar]
  90. Feinle-Bisset, C.; Azpiroz, F. Dietary Lipids and Functional Gastrointestinal Disorders. Am. J. Gastroenterol. 2013, 108, 737–747. [Google Scholar] [CrossRef]
  91. Accarino, A.M.; Azpiroz, F.; Malagelada, J.R. Modification of small bowel mechanosensitivity by intestinal fat. Gut 2001, 48, 690–695. [Google Scholar] [CrossRef] [Green Version]
  92. Barbera, R.; Feinle, C.; Read, N.W. Abnormal sensitivity to duodenal lipid infusion in patients with functional dyspepsia. Eur. J. Gastroenterol. Hepatol. 1995, 7, 1051–1057. [Google Scholar] [CrossRef] [PubMed]
  93. Serra, J.; Salvioli, B.; Azpiroz, F.; Malagelada, J.R. Lipid-induced intestinal gas retention in irritable bowel syndrome. Gastroenterology 2002, 123, 700–706. [Google Scholar] [CrossRef] [PubMed]
  94. Holloway, R.H.; Lyrenas, E.; Ireland, A.; Dent, J. Effect of intraduodenal fat on lower oesophageal sphincter function and gastro-oesophageal reflux. Gut 1997, 40, 449–453. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  95. Simren, M.; Abrahamsson, H.; Bjornsson, E.S. Lipid-induced colonic hypersensitivity in the irritable bowel syndrome: The role of bowel habit, sex, and psychologic factors. Clin. Gastroenterol. Hepatol. 2007, 5, 201–208. [Google Scholar] [CrossRef]
  96. Shang, Y.; Khafipour, E.; Derakhshani, H.; Sarna, L.K.; Woo, C.W.; Siow, Y.L.; Karmin, O. Short Term High Fat Diet Induces Obesity-Enhancing Changes in Mouse Gut Microbiota That Are Partially Reversed by Cessation of the High Fat Diet. Lipids 2017, 52, 499–511. [Google Scholar] [CrossRef]
Figure 1. Relationship between obesity occurrence of gastrointestinal (GI) disease and impaired clinical outcome.
Figure 1. Relationship between obesity occurrence of gastrointestinal (GI) disease and impaired clinical outcome.
Nutrients 12 00111 g001
Figure 2. Relationship between altered microbiota composition and different pathophysiological mechanisms of GI disease in obese patients. SCFA: Short chain fatty acids, IBS: Irritable bowel syndrome, IBD: Inflammatory bowel disorders, NAFLD: Non-alcoholic fatty liver disease.
Figure 2. Relationship between altered microbiota composition and different pathophysiological mechanisms of GI disease in obese patients. SCFA: Short chain fatty acids, IBS: Irritable bowel syndrome, IBD: Inflammatory bowel disorders, NAFLD: Non-alcoholic fatty liver disease.
Nutrients 12 00111 g002
Figure 3. Mechanisms linking dietary lipids and GI symptoms.
Figure 3. Mechanisms linking dietary lipids and GI symptoms.
Nutrients 12 00111 g003
Table 1. Categories of overweight and obesity according to body mass index (BMI).
Table 1. Categories of overweight and obesity according to body mass index (BMI).
Overweight: 25.0–29.9 kg/m2
Class 1 obesity: 30.0–34.9 kg/m2
Class 2 obesity: 35.0–39.9 kg/m2
Class 3 obesity ≥40 kg/m2
Table 2. Some of the mechanisms linking obesity and GI disease.
Table 2. Some of the mechanisms linking obesity and GI disease.
FactorMechanismGI DiseaseReferences
Mechanical
  • Increase abdominal pressure
  • Lead to the relaxation of the lower esophageal sphincter (LES)
  • Increase the risk of occurrence of hiatus hernia
GERD
Diverticular disease
Emerenziani S. et al., 2013 [6]
Pandolfino JE et al., 2006 [7]
Ze EY et al., 2017 [8]
Mashayekhi R. et al., 2018 [9]
Pro tumoral
  • Visceral fat releases pro-tumoral factors
GI cancerLauby-Secretan B. et al., 2016 [10]
Larsson SC et al., 2007 [11]
Dietary factors
  • Increased perception of concurrent intestinal stimuli
  • Modulation of intestinal motor reflexes
  • Inhibition of small bowel motility and delay of intestinal gas transit.
  • Enhanced gastro-colic reflex
  • Modulation of microbiota composition
IBS
Functional Dyspepsia
GERD
Stewart J.E., et al., 2011 [12]
Cong H et al., 2018 [13]
Low-grade inflammation
  • Visceral fat release of pro-inflammatory cytokines such as tumor necrosis factor and interleukins 1 and 6
IBD
Pancreatitis
NAFLD
Staley C, et al., 2017 [14]
Kredel L. et al., 2014 [15]
Khatua B. et al., 2017 [16]
Adipocytes-released peptides
  • Control of GI motility
GI motor disordersFeinle-Bisset C. et al., 2016 [17]
GERD: Gastroesophageal reflux disease, IBS: Irritable bowel syndrome, IBD: Inflammatory bowel disease, GI: Gastrointestinal, NAFLD: Nonalcoholic fatty liver disease.

Share and Cite

MDPI and ACS Style

Emerenziani, S.; Pier Luca Guarino, M.; Trillo Asensio, L.M.; Altomare, A.; Ribolsi, M.; Balestrieri, P.; Cicala, M. Role of Overweight and Obesity in Gastrointestinal Disease. Nutrients 2020, 12, 111. https://doi.org/10.3390/nu12010111

AMA Style

Emerenziani S, Pier Luca Guarino M, Trillo Asensio LM, Altomare A, Ribolsi M, Balestrieri P, Cicala M. Role of Overweight and Obesity in Gastrointestinal Disease. Nutrients. 2020; 12(1):111. https://doi.org/10.3390/nu12010111

Chicago/Turabian Style

Emerenziani, Sara, Michele Pier Luca Guarino, Laura Maria Trillo Asensio, Annamaria Altomare, Mentore Ribolsi, Paola Balestrieri, and Michele Cicala. 2020. "Role of Overweight and Obesity in Gastrointestinal Disease" Nutrients 12, no. 1: 111. https://doi.org/10.3390/nu12010111

APA Style

Emerenziani, S., Pier Luca Guarino, M., Trillo Asensio, L. M., Altomare, A., Ribolsi, M., Balestrieri, P., & Cicala, M. (2020). Role of Overweight and Obesity in Gastrointestinal Disease. Nutrients, 12(1), 111. https://doi.org/10.3390/nu12010111

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop