Nature Communications
Home The metabolic impact of small intestinal nutrient sensing
The metabolic impact of small intestinal nutrient sensing
The metabolic impact of small intestinal nutrient sensing

Article Type: review-article Article History
Abstract

The gastrointestinal tract maintains energy and glucose homeostasis, in part through nutrient-sensing and subsequent signaling to the brain and other tissues. In this review, we highlight the role of small intestinal nutrient-sensing in metabolic homeostasis, and link high-fat feeding, obesity, and diabetes with perturbations in these gut-brain signaling pathways. We identify how lipids, carbohydrates, and proteins, initiate gut peptide release from the enteroendocrine cells through small intestinal sensing pathways, and how these peptides regulate food intake, glucose tolerance, and hepatic glucose production. Lastly, we highlight how the gut microbiota impact small intestinal nutrient-sensing in normal physiology, and in disease, pharmacological and surgical settings. Emerging evidence indicates that the molecular mechanisms of small intestinal nutrient sensing in metabolic homeostasis have physiological and pathological impact as well as therapeutic potential in obesity and diabetes.

The gastrointestinal tract participates in maintaining metabolic homeostasis in part through nutrient-sensing and subsequent gut-brain signalling. Here the authors review the role of small intestinal nutrient-sensing in regulation of energy intake and systemic glucose metabolism, and link high-fat diet, obesity and diabetes with perturbations in these pathways.

Keywords
Duca,Waise,Peppler,and Lam: The metabolic impact of small intestinal nutrient sensing

Introduction

An increase in high-calorie intake and a sedentary lifestyle have resulted in continually increased rates of obesity, with ~2 billion adults affected by overweight or obesity1. Given that 80% of individuals with diabetes are also affected by excess weight or obesity, it is no surprise that diabetes rates are rising unabated, with almost 10% of the global population diagnosed with diabetes2. These dire statistics, along with their associated health care costs, underscore the critical need for safe and effective therapeutic interventions. However, in spite of significant advances in furthering our understanding of the pathophysiology of metabolic disease, costly and invasive bariatric surgery remains the best current treatment for obesity and diabetes3,4. Besides bariatric surgery, many pharmacological agents available for treating people with diabetes and obesity work by manipulating the gut-derived hormone glucagon-like peptide-1 (GLP-1), altogether highlighting the importance of the gastrointestinal (GI) tract in developing interventions for diabetes and obesity.

The GI tract was once thought to be primarily a site for nutrient absorption. It is now, however, well-established that the GI tract detects nutrients and triggers integrative and biological responses involving endocrine and neural components. The GI tract represents the first site of interaction between a meal and the host, informing the central nervous system (CNS) about the size and composition of a meal. The gut also contains the enteric nervous system that responds to a meal by adjusting GI physiology to maximize and optimize digestion and absorption5. These GI nutrient-sensing mechanisms, together with the effects of the postprandial rise in glucose, lipids, and amino acids, are vital for energy and glucose homeostasis via direct and indirect neural and endocrine mechanisms at various organs. While the glucose-sensing pathways in other tissues, such as the pancreas, liver, and brain also impact metabolic regulation, they have been reviewed elsewhere68. This review will focus on the preabsorptive role that intestinal nutrients have on metabolic homeostasis through nutrient-sensing mechanisms, with an emphasis on the regulation of food intake and systemic glucose regulation. Furthermore, we will highlight how obesity and diabetic settings alter these pathways, and how host–microbe crosstalk via diet-induced changes in the small intestinal microbiome impacts these pathways.

GI nutrient-sensing physiology

The GI tract consists of the small and large intestine, which differ in anatomy and function. The primary site of nutrient absorption takes place on the apical side of the polarized epithelial cell layer of the upper small intestine, while nutrients activate metabolic and sensory signaling pathways in the mucosal layer to exert whole-body biological responses before being absorbed into the circulation. Stem cells within the GI tract differentiate into multiple cell types, including secretory cells such as a hormone-producing and -secreting subtype enteroendocrine cells (EECs)9 (Fig. 1). EECs are scattered throughout the intestinal epithelium and are the key cell type that senses nutrients and initiates subsequent signaling by secretion of gut hormones. The classical rigid definition of EECs was based on the hormone they secrete in response to nutrient sensing, such as L-cells or I-cells secreting GLP-1 and cholecystokinin (CCK), respectively. However, EECs in reality exhibit a large degree of heterogeneity in hormone expression and secretion, as well as spatial expression along the GI tract as evident in single-cell RNA-Seq experiments911. Importantly, these studies examined small intestinal EECs911, highlighting the fact that a large population of EECs (i.e., cells secreting CCK and/or GLP-1) that is directly exposed to nutrients exists and enables nutrient sensing to exert whole-body biological responses via changes in gut peptides. Comparatively, there are high levels of EECs in the large intestine, but their activation may not be due to direct nutrient exposure, but rather from a neurohumoral reflex12 or other stimuli13.

An integrated hormonal-dependent metabolic network that is activated by small intestinal nutrient sensing.
Fig. 1

An integrated hormonal-dependent metabolic network that is activated by small intestinal nutrient sensing.

Glucose, lipids, and protein from ingested foods are taken up by small intestinal enterocytes for cellular metabolism and absorption. Preabsorptive nutrients also activate enteroendocrine cells, triggering the release of GLP-1 and CCK. CCK and GLP-1 enter the circulation and act directly on peripheral organs to regulate metabolism. In parallel, CCK and GLP-1 act on the vagus nerve innervating the small intestine or portal vein as well as interact with the enteric nervous system to regulate glucose and energy homeostasis. In this context, the central nervous system can receive neuronal and/or direct hormonal signals to regulate feeding and maintain plasma glucose levels.

Ingested nutrients trigger feedback mechanisms to prevent postprandial energy excess by suppressing food intake and endogenous nutrient production (Fig. 1) via the release of gut hormones. In addition to GLP-1 and CCK, EECs secrete up to 20 varieties of gut peptides that decrease energy intake and regulate glucose homeostasis. However, we will herein focus mostly on GLP-1 and CCK, the most studied small intestinal gut peptides that target the vagal afferents, brain, and pancreas to regulate energy and glucose homeostasis.

Although the post-prandial feedback mechanisms are partly coordinated by direct interaction of the liver, pancreas, and brain with circulating nutrients68, nutrient-induced small intestinal signaling mechanisms drive a majority of this feedback. For example, oral glucose administration with matching plasma glucose concentrations achieved by intravenous glucose administration causes up to three times more insulin to be released, and small intestinal nutrient-sensing pathways and the subsequent release of gut peptides mediate up to 80% of whole-body glucose disposal14. This is attributed to the glucoregulatory effect of GLP-1 and another gut peptide glucose-dependent insulinotropic polypeptide (GIP), in which the peptides are released from the small intestine in response to glucose sensing15. Recently, the role of the upper small intestinal GLP-1 secreting cells is highlighted by selectively knocking out Gcg expression (a gene from which GLP-1 is derived) in the lower gut (ileum and large intestine)16. In response to oral glucose challenge, distal Gcg knockout mice responded with normal levels of secreted plasma active GLP-1, thereby unveiling the importance of upper small intestinal GLP-1 secreting cells in glucose-sensing16.

Nutrient sensing and signaling through the gut–brain axis

Small intestinal-derived peptides act in an endocrine fashion on the peripheral and CNS targets or in a paracrine fashion on vagal afferent neurons. These neurons are in close proximity to the gut, contain receptors for GLP-1, CCK, and peptide YY (PYY) and terminate in the nucleus of the solitary tract of the hindbrain where it has been demonstrated to regulate energy and glucose homeostasis17. Alternatively, gut peptides may activate the enteric nervous system to relay information to the vagal afferent terminals via glutamate or nitric oxide18,19, although the difficulty in targeting enteric neurons per se in vivo has limited the understanding of the role of the enteric nervous system in mediating the effects of nutrient-sensing. Nevertheless, the role of gut–brain vagal signaling pathways in metabolic homeostasis is demonstrated by the fact that chemical, surgical, genetic, or viral manipulation of the vagal gut–brain pathway impairs nutrient-induced regulation of energy and glucose homeostasis. This is reviewed in detail elsewhere20.

GLP-1R is expressed in the vagal afferent neurons, pancreas, and the brain21. Knockdown of the GLP-1R in vagal afferent neurons via lentiviral injection into the nodose ganglia (the inferior ganglion of the vagus nerve), which enables knockdown throughout the vagus nerve, increases meal size and postprandial glycemia, and blunts insulin release22 while knocking down GLP-1R via the use of transgenic mice in the gut–brain neuronal axis leads to increased glucose levels23. Similarly, knockdown of CCK-1R in the gut and/or the vagal afferent neurons disrupt glucose control and feeding in response to CCK administration24,25. In addition to the gut–brain metabolic axis governed by the glucose sensing in the small intestine, glucose sensing in the portal vein can be triggered by intestinal gluconeogenesis induced by protein and fiber intake and activate a portal vagal–brain axis to regulate glucose and energy homeostasis26. Overall, nutrient-sensing in the small intestine plays a major role in gut–brain negative feedback signaling that regulates energy and glucose homeostasis (Fig. 1), and in the following sections, we will highlight how sensing of specific nutrients regulates energy and glucose homeostasis to impact metabolic homeostasis.

Small intestinal lipid sensing

Effect of lipid sensing on food intake

Small intestinal lipid sensing suppresses food intake through the release of CCK and GLP-1 and the activation of vagal afferents. It is traditionally believed that lipid sensing in the small intestine occurs on the apical luminal side where long-chain fatty acids (LCFA) are absorbed and metabolized to generate sensory anorectic signals. For example, intraduodenal infusion of Intralipid (a fat emulsion consisting mostly of linoleic acids) in rodents dose-dependently suppresses food intake within 10 min. The Intralipid effect is blocked by the local anesthetic tetracaine, which inhibits nerve impulses, indicating small intestinal vagal innervation as a mediator of the anorectic signals27. In support of a pre-absorptive lipid-sensing mechanism, intravenous infusion of Intralipid does not suppress food intake28, and the effects of duodenal Intralipid and/or linoleic acid occur independently of changes in circulating triglycerides29,30. Further, co-infusion of lipid with a lipase inhibitor blocks the ability of lipid to suppress food intake, as well as increase CCK and GLP-131. However, the term “pre-absorptive lipid sensing” might be misleading as evidence suggests that the ability of intestinal lipid sensing to induce gut peptide release, activate vagal afferents, and reduce food intake is also dependent on chylomicron formation from LCFA and subsequent absorption to the basolateral side3234. Inhibition of chylomicron formation with Pluronic L-81 attenuates the anorectic effect, celiac and cervical vagal afferent activation, and gut peptide release induced by lipids33,34. Similarly, infusion of fatty acids with a chain length of less than C10 (which do not assemble in chylomicrons but directly diffuse out of enterocytes) fails to reduce energy intake and increase CCK levels in humans35. These observations argue against the traditional view of lipid sensing that occurs on the apical luminal side of the small intestine, prior to absorption.

Indeed, despite studies that elucidated the role of the receptor GPR40 (and GPR1120 to a lesser extent) in mediating LCFAs to stimulate gut peptides release36, the cellular site of action (apical vs. basolateral) has not been fully elucidated. Recently, utilizing an isolated intestinal perfusion model, it was shown that linoleic acid and GPR40 agonists induce GLP-1 release only when infused into the vasculature that would target the basolateral side, and not to the apical lumen37. In cultured, stable, immortalized murine EECs GLP-1 secretion is dependent on lipoprotein lipase to hydrolyze chylomicrons and on GPR40 to bind the liberated LCFAs38, further supporting that activation of EECs by LCFAs occurs on the basolateral side through hydrolysis of newly synthesized chylomicrons. Additionally, CD36 (a protein that transports fatty acids into cells and is documented to mediate chylomicron formation)39 knockout mice have impaired CCK release and fail to suppress food intake in response to duodenal lipids40,41, indicating that chylomicron formation in the small intestine is necessary for lipid sensing to lower food intake and thereby supporting the basolateral sensing hypothesis (Fig. 2a).

Mechanisms of small intestinal nutrient sensing.
Fig. 2

Mechanisms of small intestinal nutrient sensing.

a Mechanisms of small intestinal lipid sensing. Small intestinal long-chain fatty acids are taken up (via CD36/FATP4 and/or simple diffusion) by enterocytes to form triglycerides and eventually packaged into chylomicrons released on the basolateral side. LCFA are also taken up by enteroendocrine cells to undergo ACSL3-dependent metabolism and activate PKCs to potentially stimulate CCK and/or GLP-1 release. Luminal LCFA may activate GPR40/120 to stimulate peptide release. The hydrolysis of chylomicrons by nearby enterocytes on the basolateral membrane may lead to increased LCFAs that can activate basolateral GPR40 to induce peptide release. In the setting of a high-fat diet or obesity, GPRs/ACSL3 expression, the release of GLP-1/CCK, and CCK signaling are reduced, leading to a disruption of fatty acid sensing. b Mechanisms of small intestinal carbohydrate sensing. Luminal glucose and fructose are transported into upper small intestinal enterocytes and/or enteroendocrine cells via SGLT1 and GLUT5, respectively. Through SGLT1, glucose directly and/or indirectly (via cellular metabolism) stimulates the release of gut peptides and regulates feeding and systemic glucose control in the upper small intestine. However, ileal glucose sensing may stimulate the release of GLP-1 independent of SGLT1. In response to high-fat feeding or obesity, small intestinal SGLT1 expression is reduced, leading to an impairment of glucose sensing, GLP-1 secretion, and glucose control. c Mechanisms of small intestinal protein sensing. Luminal small oligopeptides and amino acids are taken up by PepT1 and amino acid transporters, respectively, into the enterocyte and enteroendocrine cells. Small intestinal protein sensing stimulates the release of CCK and GLP-1 and regulates feeding and glucose homeostasis potentially via PepT1 dependent mechanisms. In addition, amino acids stimulate peptide release via the membrane-bound calcium-sensing receptor, the umami taste receptor, and G-protein-coupled receptor 6A. However, the downstream mechanism mediating the peptide release remains elusive. In parallel, amino acids are also transported to the basolateral side, and studies implicated that they may activate the calcium-sensing receptor to stimulate GLP-1 secretion.

Vagal afferent fibers mediate the anorectic effects of intestinal lipid-sensing and are activated by several gut peptides20. Vagal afferents contain CCK-1 receptor (CCK-1R) and selective knockdown of CCK-1R in vagal afferents abolishes the ability of CCK to lower food intake24. However, the impact of vagal CCK-1R on small intestinal lipid-induced CCK signaling has not been established24. Vagal afferents also express GLP-1R42, and at least one study reports that GLP-1 signaling mediates the suppressive effects of jejunal linoleic acid infusion43. However, GLP-1R-expressing vagal afferent neurons were also reported to detect stomach and intestinal stretch but have no impact on nutrient-sensing44. Thus, the effect of GLP-1R on intestinal lipid sensing remains unclear. It is possible that the enteric nervous system, which contains GLP-1R, may mediate the gut–brain effect instead18,19.

Effect of lipid sensing on glucose homeostasis

Upper small intestinal infusion of Intralipid lowers plasma glucose levels and increases intravenous glucose tolerance within 50 min of infusion independent of a rise in plasma triglyceride, free fatty acids, and insulin levels45,46. Utilizing pancreatic–euglycemic clamps with plasma insulin levels maintained at a basal non-stimulated condition, upper small intestinal lipid infusion lowers hepatic glucose production46. These Intralipid effects are recapitulated in rats and mice that received specific LCFA infusion of either oleic (C18:1n − 9) or linoleic acid (C18:2n − 6)45. In contrast, a study with human participants reports that during the pancreatic–euglycemic clamps, no difference in glucose production is detected in response to intraduodenal infusion of lipid vs control group47. However, this observation is made in the presence of a progressive rise in plasma insulin and glucose levels prior to the start of the lipid or control infusion, and a parallel progressive drop in both plasma free fatty acids and glucose production in both groups47. Thus, it is not surprising that glucose production is not further lowered by intraduodenal lipid vs. saline infusion in a state that mimics the postprandial state, in which hepatic glucose production is already inhibited.

Similar to lipid-induced reductions in food intake, the ability of small intestinal lipid infusion to lower hepatic glucose production is dependent on CCK and GLP-1 signaling during the pancreatic (basal insulin)-euglycemic clamps45,46. Further, inhibiting CCK-1R signaling during refeeding, which activates nutrient-sensing pathways, results in postprandial hyperglycemia25. The specific mechanisms leading to the release of CCK and subsequent effects on glucose homeostasis are not fully understood, although the esterification of fatty acids to fatty acyl-CoA via acyl-CoA synthetase and the subsequent activation of mucosal protein kinase C (PKC)-δ are necessary for rats46,48. This is consistent with the fact that LCFA induces CCK release in intestinal secretin tumor cells via PKC-δ activation49. In parallel, the formation of chylomicron is also implicated in CCK release50, but the underlying mechanisms of how lipids stimulate CCK to release overall remain elusive (Fig. 2a). Further, the specific role of vagal GLP-1R signaling in mediating the glucoregulatory effect of lipids remains to be clarified.

In addition to lowering hepatic glucose production via a gut–brain axis45,46, small intestinal lipid-sensing could regulate glucose homeostasis via GLP-1-induced increase in insulin or suppression of glucagon secretion, as lipid-sensing increases GLP-1 release45,. However, GLP-1 induced increase in insulin secretion requires the presence of elevated circulating glucose levels51. Thus, it is possible that while an infusion of lipid alone increases GLP-1, this would not substantially elevate plasma insulin levels in the absence of a concomitant rise in blood glucose levels, as reported in human studies52,53. Despite this, increasing circulating active GLP-1 levels during an Intralipid intestinal infusion via DPP-IV inhibition (inhibits degradation of GLP-1) decreases glucose and increases insulin levels52. In addition, while GLP-1 is known to suppress glucagon secretion, glucagon is consistently increased with Intralipid infusion52,53. Although it has not been evaluated, this unexpected effect of Intralipid on glucagon could be due to the concurrent CCK release, as CCK lowers the inhibitory effect of glucose on glucagon secretion54.

Effect of metabolic dysregulation on intestinal lipid sensing

A high-fat diet (HFD) impairs lipid-induced gut–brain feedback regulating both energy and glucose homeostasis. Intestinal sensing of lipids is impaired during HFD in both rodents and humans55, however, it is still contentious as to whether this is due to chronic exposure to HFD or induction of obesity. For example, studies in rats have shown that the combination of an HFD with a genetic background that is predisposed to obesity, is associated with reduced intestinal-lipid sensing56,57. Furthermore, HFD decreases postprandial active GLP-1 and CCK levels in obese-prone rats compared to obese-resistant rats, potentially due to decreased intestinal expression of GPR40 and GPR120, receptors that are implicated in lipid-sensing induced secretion of gut peptides5658 (Fig. 2a). The importance of interaction between diet and obesity for nutrient-sensing is also supported by human data. A 2-week high-fat dietary regimen in humans does not impair the suppressive effects on appetite or the CCK and GLP-1 response to an intralipid duodenal infusion59. However, individuals with obesity are less responsive to the satiating effects of dietary fat60,61. Obesity is also associated with reduced postprandial gut peptide levels62, and specifically for lipid-sensing, CCK release is blunted in individuals affected by obesity following intraduodenal oleic acid63. Therefore, future studies need to delineate the effect of diet vs. phenotype, which may be due to the ability of the gut microbiota to mediate this interaction between the diet and host physiology (discussed in more detail below).

Besides reductions in lipid-induced gut peptide release, it is possible that diminished sensitivity to gut peptides contributes to the reduced responsiveness to intestinal fat sensing in feeding control. The anorectic effect of CCK is impaired in HFD-fed mice and rats55, as is vagal afferent activation55, although this has not been fully examined in humans. Further, CCK-1R expression in vagal nerves is decreased in HFD induced obese rats56, ultimately contributing to reduced nodose ganglia cocaine and amphetamine-regulated transcript (CART) expression, a neuropeptide regulating energy homeostasis, in association with increased food intake and body weight64. However, vagal CCK resistance during obesity could also be due to obesity-associated leptin resistance, as the leptin receptor is co-expressed with CCK-1R in the vagal afferent neurons65 and leptin potentiates the suppressive effect of CCK on appetite and increases vagal afferent activation following CCK administration66,67. In addition, most studies demonstrate that the leptin-deficient, obese ob/ob mice and Zucker rats exhibit impaired responsiveness to CCK68,69. Using both genetic and viral approaches, the knockdown of leptin receptors in vagal afferent neurons impairs CCK responsiveness and induces hyperphagia70. Taken together, it is possible that impairments in CCK signaling both at the level of secretion and vagal activation could drive reduced lipid-induced satiation, although much of this remains to be tested in humans.

HFD also impairs the ability of upper small intestinal lipid sensing to improve glucose tolerance and lower hepatic glucose production45,46. The loss of effect of lipid-sensing following short-term 3-day HF feeding is partly due to impaired vagal CCK-1R signaling as both Intralipid and CCK (but not upstream activation of vagal protein kinase A) fail to lower glucose production in HF rats25,46,71. In parallel, HFD lowers upper small intestinal long-chain acyl-CoA synthetase-3 expression and disrupts long-chain acyl-CoA synthetase-3 dependent small intestinal fatty acid metabolism to regulate glucose homeostasis. However, transplantation of healthy microbiome to HF rats rescues the glucoregulatory effect of lipid-sensing via upregulation of long-chain acyl-CoA synthetase-3 expression in a small intestinal farnesoid x receptor (FXR) dependent fashion45. The underlying mechanism of how HF-induced changes in small intestinal microbiome alter bile acid pool, FXR, acyl-CoA synthetase-3, and lipid sensing remains elusive. Nonetheless, we hypothesize that enhancing long-chain acyl-CoA synthetase-3-dependent upper small intestinal fatty acid metabolism could increase GLP1 action to regulate glucose homeostasis in spite of CCK-1R vagal resistance (Fig. 2a).

Small intestinal carbohydrate-sensing

Effect of carbohydrate-sensing on food intake

Intraduodenal infusion of glucose dose-dependently suppresses food intake in rodents72, and reduces food intake73,74 or favorably influences subjective appetite ratings73 in humans. Intravenous infusion of glucose to match the levels observed in blood following intestinal infusion of glucose does not inhibit food intake in rodents and humans72,75, highlighting the role of preabsorptive intestinal glucose-sensing. GLP-1R antagonist Exendin-9 abolishes the anorectic effect of both intragastric and voluntary sucrose loads in rats76, indicating that GLP-1 action mediates the effect of carbohydrate-sensing on food intake. Glucose-induced GLP-1 secretion from small intestinal EECs is dependent on sodium-glucose luminal transporter-1 (SGLT-1)77. SGLT-1 mediates the transport of glucose into the EECs, and the glucose transport is coupled with the transport of Na+ ions, causing membrane depolarization, entry of Ca2+ via voltage-gated calcium channels, and subsequent exocytosis of gut peptides on the basolateral membrane78. As non-metabolizable sugars transported via SGLT-1 also induce GLP-1 release79, glucose-sensing appears to be dependent on the transport of glucose via SGLT-1 but independent of subsequent cellular glucose metabolism. This finding has been confirmed in the human small intestine80. However, one cannot rule out that glucose metabolism and subsequent closure of ATP‐sensitive K+ channels could potentiate the response of EECs to glucose81 (Fig. 2b). In addition, a role for the sweet taste receptor (T1R2/T1R3), first observed in the oral cavity, was originally proposed to mediate sweet taste response in the small intestine as in vitro and in vivo studies reported the sweet taste receptor mediates GLP-1 release induced by glucose and non-caloric sweeteners82. However, recent studies report that non-caloric sweeteners do not induce GLP-1 release in primary L-cells and rodents79,83, and in humans, noncaloric sweeteners fail to induce gut peptide release and have no effect on appetite84.

It is possible that the suppressive effect of glucose on food intake depends on the specific site of the small intestine where glucose is sensed. For instance, a greater reduction of energy intake associates with higher CCK levels in humans receiving duodenal versus jejunal infusion of glucose85. However, in another study86, glucose infusion into the ileum, but not duodenum, suppresses food intake, and a rodent study similarly found that ileal glucose infusion suppresses food intake to a greater degree than duodenal glucose infusion87. These studies support the notion that ileal nutrient-sensing regulates gut motility88 but later proposed by many to also regulate food intake89. In contrast to the upper small intestine, this may be due to SGLT-1 independent glucose-mediated GLP-1 release90 (Fig. 2b).

Effect of carbohydrate-sensing on glucose homeostasis

Small intestine infusion of glucose impacts glucose homeostasis and the effects are not only due to glucose absorption into circulation. First, it is well established that the GI tract contributes to insulin secretion via the incretin effects of GLP-1 and GIP, which stimulate insulin secretion from the pancreas. The incretin effect may account for up to 80% of total insulin secreted in response to an oral glucose tolerance test14. Direct infusion of glucose into the duodenum in humans also increases circulating insulin levels, as does jejunal infusions, while glucagon levels either decrease or remain unchanged91. This discrepancy in glucagon is likely due to the differing actions of GIP and GLP-1, as GIP paradoxically increases while GLP-1 inhibits glucagon secretion15. While both GLP-1R and GIPR knockout mice exhibit reduced insulin release in response to intestinal glucose, each model only exhibits mild glucose intolerance. However, dual GLP-1R and GIPR knockout mice exhibit substantially impaired glycemic control and oral glucose-stimulated insulin release as compared to single incretin receptor knockout mice92. A similar additive result on glucose excursions is observed in humans treated with GIPR and/or GLP-1R antagonists93. Further, GIP was found to be a more powerful incretin hormone than GLP-1, but its overall effect on glucose homeostasis is likely masked by the concomitant rise in glucagon93.

Owing to the short half-life of GLP-1 (~1–2 min), only ~12% of the GLP-1 secreted from the gut enters the systemic circulation intact and activates the GLP-1R expressed in the pancreas21. As such, the common hepatic branch of the vagus, as well as celiac and gastric branches, are all implicated in contributing to the glucoregulatory effects of GLP-1 action94,95. For example, selective knockdown of GLP-1R in the nodose ganglia impairs glucose response to a mixed meal but interestingly does not impair oral glucose tolerance22. This implies that the impaired response to a mixed meal challenge is not dependent on altered intestinal glucose-sensing. Further, the impact of genetic knockout of GLP-1R in vagal neurons on oral glucose tolerance is contentious22,23. However, selective restoration of the islet and pancreatic duct GLP-1R in global GLP-1R knockout mice was sufficient to improve impaired oral glucose tolerance, although the reason for this is unknown as there was no change in glucose-stimulated insulin release among the groups96. Thus, the mechanism of glucose-induced GLP-1 regulation on insulin secretion remains elusive.

Direct infusion of glucose into the upper small intestine or jejunum given at a dose that does not increase portal glucose levels activates small intestinal SGLT-1 and lowers hepatic glucose production in parallel to an increase in portal GLP-1 levels97,98 (Fig. 2b). Similar to the mechanism of glucose-sensing in the regulation of food intake, infusion of non-metabolizable sugar 3-OMG (that is transported via SGLT-1) into the upper small intestine recapitulates the glucoregulatory effect of glucose-sensing97, suggesting that upper small intestinal glucose-sensing in inducing GLP-1 release is dependent on the electrogenic capacity of SGLT-1 but independent of cellular glucose metabolism. Further, the effect of small intestinal glucose sensing on hepatic glucose production regulation is abolished when glucose is co-infused with GLP-1R antagonist exendin-997, strengthening the role of GLP-1 as the mediator of intestinal glucose-sensing on hepatic glucose production99.

Effect of metabolic dysregulation on small intestinal carbohydrate sensing

Despite the prevalence of carbohydrates in the diet, few studies have investigated the effect of obesity or HFD on intestinal glucose sensing. In rodents, both diet-induced and genetic models of obesity exhibit reduced satiation in response to intraduodenal carbohydrate infusion, although the effect is less pronounced than what is observed with intestinal lipids and is observed in some but not all studies57,58. Moreover, there are no differences in the response to duodenal infusion of glucose between participants with and without obesity100. Thus, it is likely that a high-fat diet and/or obesity do not greatly impair intestinal carbohydrate sensing and subsequent regulation of food intake. In contrast, obesity is associated with reduced postprandial GLP-1 levels101 and sensitivity to GLP-1 in rodents102,103, although gut peptides other than GLP-1 may mediate the anorectic effect of intestinal carbohydrates104. Despite these unknowns, research with human participants suggests that the incretin effect is impaired in diabetes, which is likely due to reduced GLP-1 secretion and impaired potency of GLP-1 to induce insulin secretion105. Similarly, HFD in rodents impairs the ability of upper small intestinal glucose infusion to lower glucose production, likely due to reduced GLP-1 secretion97. This reduction in GLP-1 secretion during HFD is associated with decreased upper small intestinal SGLT-1 levels97. In line with this, HFD reduces SGLT1 expression in small intestinal L-cells, resulting in impaired GLP-1 response to glucose in primary cultures106 (Fig. 2b).

Small intestinal protein sensing

Effect of protein-sensing on food intake

High protein diets in both humans and rodents reduce body weight and adiposity in association with intestinal protein sensing-related increases in gut peptide levels. In humans, duodenal infusion of whey protein hydrolysate decreases food intake without a change in subjective appetite ratings107,108 but in parallel to increased GLP-1 and CCK levels107,109. In addition, casein infusion into the ileum of humans also decreases food intake, whereas infusion into the duodenum or jejunum has minimal effect. This is possibly explained by the fact that ileal casein infusion resulted in the greatest rise in GLP-1 levels compared to duodenal or jejunal infusion110. In rodents, various protein solutions potentially reduce food intake more potently than isocaloric and isovolumetric carbohydrate infusions111, and the underlying mechanisms may involve CCK release and subsequent activation of CCK-1R on vagal afferent neurons112114, although GLP-1R signaling was not investigated. Thus, future studies are needed to more definitively identify the specific effects of different types of protein and the intestinal site of protein sensing on the regulation of food intake and gut peptide release.

Effect of protein-sensing on glucose homeostasis

High protein diets improve glucose homeostasis in both rodents and humans115,116, even in the absence of weight loss in patients with diabetes or during pair-feeding in rodents117,118. In humans, duodenal whey protein hydrolysate impacts circulating glucose, insulin, and glucagon107,108, while duodenal, jejunal, or ileal casein infusion leads to a substantial increase in insulin levels with no change in glucose110. Moreover, infusion of leucine alone into the duodenum dose-dependently increases insulin, with slight decreases in glucose, but no change in glucagon119. In rodents, upper small intestinal infusion of casein hydrolysate for 50 min at levels that do not increase circulating amino acids levels increases glucose tolerance and reduces glucose production during a pancreatic euglycemic clamp120. These effects are mediated by peptide transporter-1 (PepT1), a di- and tri-peptide proton-coupled transporter located in the brush border membrane of the intestinal epithelium120 (Fig. 2c). PepT1 mediates the secretion of GLP-1 from small intestinal EECs121 and CCK/GLP-1 secretion in vivo122, possibly via depolarization of EECs during transport of peptides into the cell in a similar fashion as the glucose-SGLT-1 axis121,123. Recent evidence using isolated intestinal perfusion technique indicates that dietary protein induces gut peptide secretion via transport of oligopeptides into cells via PepT1. Cellular oligopeptides are broken down into individual amino acids that are released to the basolateral side of the intestine to activate amino acid receptors123. In addition, amino acids induce gut peptide release, both in vivo and in vitro, via the calcium-sensing receptor (CaSR)124, the umami taste receptor (Tas1R1/Tas1R3)125, and G protein-coupled receptor family c group 6 member A126. Taken together, these data indicate that both apical PepT1 and basolateral CaSR could be critical for peptone-mediated GLP-1 release (Fig. 2c). Nonetheless, more work is needed to determine the exact mechanism linking intestinal protein sensing to gut peptide release, and which specific amino acids and sensors are required.

Effect of metabolic dysregulation on small intestinal protein-sensing

In contrast to lipids and carbohydrates, sensitivity to intestinal protein-sensing appears to be maintained during obesity, highlighting the potential of protein-sensing as a therapeutic target for weight loss. There are no differences in energy intake or CCK and GLP-1 responses between individuals with and without obesity following intraduodenal whey protein infusion127. In line with this data, rats fed an HFD for either 3 or 28 days, with the latter resulting in increased adiposity, still responded to small intestinal casein infusion by lowering hepatic glucose production120. In addition, high protein intake improves metabolic outcomes, like body weight, adiposity, insulin sensitivity, and food intake, in both rodents and humans128130, and improves glucose tolerance and lowers blood glucose levels in patients with diabetes131. This may be explained by the fact that intestinal proteins more potently stimulate gut peptide secretion as compared to isocaloric lipids or carbohydrates132. Future research is warranted to uncover the mechanisms of how intestinal protein sensing, but not lipid or carbohydrate sensing, is maintained during metabolic dysregulation.

Role of gut microbiota on small intestinal nutrient sensing and therapeutics

Changes in the gut microbiota affect obesity and related metabolic disorders, and the mechanisms linking the gut microbiota to energy and glucose homeostasis have been extensively reviewed133,134. However, the majority of the studies have focused on the role of the microbiota in the large intestine, and few studies have examined the metabolic impact of the small intestinal microbiota. While there are several orders of magnitude greater abundance of bacteria in the large intestine than in the small intestine, nutrient-sensing, and gut–brain feedback mechanisms are localized to the small intestine, as nutrient absorption limits ingested macronutrients from reaching the large intestine. Further, the protective barrier of a mucus layer in the small intestine is much less established135, allowing for an increased potential for intimate interactions between the host epithelial cells and the gut bacteria. For example, restoring the gut microbiome in germ-free mice results in an acute, transient phase, followed by a homeostatic phase that impacts jejunal transcriptomics and metabolomics involved in lipid and glucose metabolism and uptake136. However, the initial acute response is not observed in the ileum or colon, highlighting the sensitivity of the upper small intestine to the microbiome. Evidence suggests that the microbiota could also greatly impact nutrient-sensing mechanisms. First, microbial metabolites, especially short-chain fatty acids (SCFAs), are known to induce gut peptide secretion from EECs137,138. Most bacterially derived metabolites like SCFAs are produced predominantly in the distal intestine but are also present in small amounts in the ileum and can reduce glucose production via a gut–brain axis139,140. Other metabolites, like indole, are highly abundant in the small intestine and also regulate GLP-1 release from EECs141. Secondly, the gut microbiota impacts EEC physiology. For example, isolated cells expressing GLP-1 obtained from germ-free and conventional mice exhibit different transcriptomes, which is rapidly altered after only one day of microbiome colonization, suggesting a more direct effect of the bacteria on the EECs vs. an indirect effect from altered physiology of the germ-free model142. Further, intestinal expression and circulating levels of gut peptides are altered in germ-free mice143,144. Similarly, HFD converts zebrafish EECs into a nutrient-insensitive state dependent on gut microbiota, as germ-free zebrafish are resistant to the induction of EEC nutrient-insensitivity while an Acinetobacter strain was able to induce EEC nutrient-insensitivity145. In line with this, bacterial species directly influence GPR120, a receptor linked with lipid-induced gut peptide secretion, and GLP-1 expression in vitro146. Third, LPS, a bacterial byproduct, blunts vagal activation by intestinal nutrients, leptin, or CCK147,148. Thus, there exists a precedent for the ability of small intestinal microbiota to impact nutrient-induced small intestinal gut–brain signaling (Fig. 3).

Interaction of gut microbiota and small intestinal nutrient sensing.
Fig. 3

Interaction of gut microbiota and small intestinal nutrient sensing.

We put forward a working hypothesis for the mechanistic links between small intestinal nutrient-sensing, microbiota, peptide release, and metabolic regulation. (From Left to Right of the Schematic): Bacterial species can directly and/or indirectly impact epithelial GPRs to alter GLP1 expression and release. Bacterial by-products such as LPS can impair lipid and glucose sensing and potentially disrupt ACSL3 and SGLT1 dependent pathways that regulate glucose and energy homeostasis. Bile salt hydrolase of bacteria contributes to the bile acid pool and regulates bile acid metabolism. As a result, changes in bile acids can alter GLP-1 release and metabolic regulation via intestinal FXR and TGR5 signaling. High-fat feeding reduces the abundance of small intestinal Lactobacillus species (e.g., L. gasseri) and consequently inhibits ACSL3 expression and impairs lipid sensing. Lastly, metformin increases the abundance of upper small intestinal Lactobacillus and enhances SGLT1 expression and glucose sensing, while also reducing the abundance of Bacteroides fragilis that results in ileal FXR inhibition and improvement in glucose metabolism. Bariatric surgery enhances small intestinal nutrient sensing mechanisms and consequently lowers glucose levels, while changes in bile acid metabolism and FXR are necessary for the glucose-lowering effect of bariatric surgery.

In parallel, gut microbiota alters the bile acid pool and thereby potentially affects nutrient sensing and glucose and energy homeostasis. Conjugated bile acids are produced in the liver and released into the duodenum, where they are either absorbed or de-conjugated by the bile salt hydrolase of bacteria. Bile acids act as signaling molecules in the intestine and elsewhere, binding to FXR and G protein-coupled receptor 19 (also known as TGR5)149. Most, but not all, studies indicate that inhibition of intestinal FXR improves energy and glucose homeostasis150, and FXR signaling represses transcription of GLP-1 and inhibits GLP-1 release from L-cells151. Interestingly, TGR5 signaling increases GLP-1 release from L-cells152, thus complicating the role of bile acid signaling in the intestine (Fig. 3).

HF-feeding, obesity, and diabetes are all associated with unique microbial profiles in the large intestine. However, evidence suggests that HF-feeding also alters the composition of small intestinal gut microbiota. In rodents, the majority of the small intestinal bacteria are Lactobacillius, and HF-feeding results in a drastic reduction in the relative abundance of this genus45,97. Recent work indicates that altered small intestinal microbiota during HFD drives impairments in intestinal lipid-sensing, as the transplant of the small intestinal microbiota of short-term HF fed rats into chow-fed rats abolished the ability of small intestinal lipid infusion to improve glucose tolerance and lower hepatic glucose production. Treatment of HF-fed rats with a small intestinal infusion of Lactobacillus gasseri enhances upper small intestinal lipid-sensing, via restoration of long-chain acyl-CoA synthetase (ACSL3)45. L. gasseri exhibits bile salt hydrolase activity153 and can thus alter the composition of the bile acid pool. Small intestinal L. gasseri increases ACSL3 and subsequent lipid-sensing through a mechanism dependent on reduced FXR signaling.45. These findings are consistent with the fact that bile acid sequestrants (i.e., colesevelam) that inhibit FXR improve glycemic control154 (Fig. 3).

Recent evidence-based on studies with the anti-diabetic medicine metformin indicate that the glucoregulatory impact of intestinal glucose-sensing is mediated by the small intestinal microbiota. While metformin directly influences hepatic metabolism155, as an orally administered drug metformin concentrations in the small intestine are much greater than in the serum156. Oral metformin reduces blood glucose levels more than intravenous or portal vein administration157, demonstrating a role for intestinal-mediated mechanisms of action in improvements in glucose homeostasis. Pretreatment of HF-fed rats with metformin restores the ability of upper small intestinal glucose infusion to lower glucose production via increased portal vein GLP-1 levels and small intestinal SGLT-1 expression and in parallel changes the composition of small intestinal microbiota97. This is in line with several other studies that highlight the importance of the gut microbiota in mediating the beneficial effects of metformin158,159. In addition, individuals with newly diagnosed diabetes treated with metformin for three days exhibit alterations in the gut microbiota including increased Lactobacillus and reduced Bacteroides fragilis abundance, which result in inhibition of FXR signaling to improve glucose metabolism158. This observation is similar to the ability of L. gasseri to increase intestinal lipid-sensing to improve glucose homeostasis via FXR45(Fig. 3). Collectively, these studies highlight small intestinal nutrient-sensing mechanism mediates the beneficial effects of metformin through changes in gut microbiota and bile acids.

Evidence is emerging on the impact of the small intestinal microbiota also in the efficacy of gastric bypass. Despite extensive evidence of an overall role of the large intestinal microbiota in mediating the effects of bariatric surgery160, at least one study demonstrated that gastric bypass alters the microbiota of the duodenum, jejunum, and ileum161. In addition, while the jejunal nutrient-sensing mechanism at least partly mediates the beneficial effects of duodenal–jejunal bypass surgery on glucose homeostasis98, the glucose-lowering effect of vertical sleeve gastrectomy is dependent on both the gut microbiota and bile acid signaling162 (Fig. 3).

New avenues for research and conclusions

While technological advancements begin to detail the role of intestinal nutrient-sensing in gut–brain neuronal signaling, they concurrently expand the field. One example of this is the use of single-cell RNA sequencing to understand vagal afferent signaling. Several groups distinctly labeled nodose ganglion neurons according to their expression profile, however, the results are expansive and sometimes contradictory44,163. Based on these studies, vagal afferent neurons containing GLP-1R have no impact on intestinal nutrient-sensing mechanisms, which are instead regulated by GPR65-positive neurons44. Despite being activated by intestinal nutrients, direct optogenetic or chemogenetic activation of GPR65 + nodose neuronal cells has little effect on food intake, thus it is still unknown which vagal neurons regulate the suppressive effects of intestinal nutrients163. Indeed, various neurons terminating in the intestinal mucosa, that likely sense gut peptides released in response to intestinal nutrients, have no effect on food intake, and only direct activation of a subset of IGLE neurons that detect intestinal stretch and not gut peptides suppresses food intake163. A subset of EECs called neuropods exist that directly synapse with vagal neurons, and rapidly signal via glutamate to the nucleus of the solitary tract in a single synapse to relay initial spatial and temporal information about the meal that could later be followed by more traditional gut peptide signaling164. Despite these interesting and exciting advances and the discovery of new nutrient sensory cells, the exact neurons that mediate the gut–brain signaling and nutrient sensing in regulating metabolism are complex and warrant future investigations. Future studies are needed to start teasing apart these complexities, while also integrating the gut microbiota and metabolites into the picture. For instance, while the gut microbiota can impact EECs, it is plausible that vagal afferents themselves can be impacted by bacterial metabolites165.

In contrast to energy intake, the impact of nutrient-induced gut–brain vagal signaling on energy expenditure has been poorly characterized. Intestinal lipids regulate brown fat thermogenesis via vagal afferents166 and possibly via GLP-1R signaling167, and vagal knockout of the transcription factor peroxisome proliferator-activated receptor-γ, which is activated by fatty acids and could thus be involved in lipid-sensing, affects thermogenesis168. Likewise in humans, intraduodenal infusion of intralipid increases resting energy expenditure52. Nutrient infusions into the duodenum of rats modulate energy expenditure169. Future work is needed to detail the connections between nutrient-sensing mechanism, gut microbiota, and impact on energy expenditure via thermogenesis in brown or browning white adipose tissue170.

Overall, extensive evidence indicates that targeting nutrient sensing in the small intestine impacts energy and glucose homeostasis during normal physiology and in the context of obesity and type 2 diabetes. Given the distinct effects of HFD and obesity on the diminution of nutrient-sensing dependent gut–brain pathways, future studies examining the gene and environmental interactions are warranted to further the development of personalized medicine approaches. Similarly, the expansive role of the gut microbiota in host metabolic health further highlights the need for personalized approaches to treating metabolic diseases. As such, studies in humans and rodents beginning to unravel the interactions between the gut microbiota, small intestinal EECs, and vagal signaling, are laying the groundwork for the development of therapeutics targeting small intestinal nutrient sensing to treat obesity and type 2 diabetes.

Peer review information: Nature Communications thanks the anonymous reviewer(s) for their contribution to the peer review of this work.
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Acknowledgements

F.A.D. is funded by the National Institutes of Health (NIH-1R01DK121804) and United States Department of Agriculture (USDA)–National Institute of Food and Agriculture (NIFA) (2019-67017-29252). T.M.Z.W. is supported by a Diabetes Canada post-doctoral fellowship. W.T.P. is supported by a Canadian Institutes of Health Research (CIHR) post-doctoral fellowship. T.K.T.L. laboratory is supported by a CIHR Foundation Grant (FDN-143204). T.K.T.L. holds the John Kitson McIvor (1915–1942) Endowed Chair in Diabetes Research & the Tier 1 Canada Research Chair in Diabetes and Obesity at the Toronto General Hospital Research Institute and the University of Toronto.

Author contributions

F.A.D., T.M.Z.W., and W.T.P. wrote the paper. T.K.T.L. edited the paper.

Competing interests

The authors declare no competing interests.

References

1. 

WHO. Obesity and Overweight. (World Health Organization, 2020).

2. 

    Bhupathiraju SN, Hu FB. Epidemiology of obesity and diabetes and their cardiovascular complications. Circ. Res.2016. 118: 1723-1735 doi: 10.1161/CIRCRESAHA.115.306825

3. 

    Arterburn D, . Comparative effectiveness of bariatric surgery vs. nonsurgical treatment of type 2 diabetes among severely obese adults. Obes. Res. Clin. Pract.2013. 7: e258-e268 doi: 10.1016/j.orcp.2012.08.196

4. 

    Brolin RE. Bariatric surgery and long-term control of morbid obesity. J. Am. Med. Assoc.2002. 288: 2793-2796 doi: 10.1001/jama.288.22.2793

5. 

    Neunlist M, Schemann M. Nutrient-induced changes in the phenotype and function of the enteric nervous system. J. Physiol.2014. 592: 2959-2965 doi: 10.1113/jphysiol.2014.272948

6. 

    Bentsen MA, Mirzadeh Z, Schwartz MW. Revisiting how the brain senses glucose-and why. Cell Metab.2019. 29: 11-17 doi: 10.1016/j.cmet.2018.11.001

7. 

    Rutter GA, Pullen TJ, Hodson DJ, Martinez-Sanchez A. Pancreatic beta-cell identity, glucose sensing and the control of insulin secretion. Biochem. J.2015. 466: 203-218 doi: 10.1042/BJ20141384

8. 

    Oosterveer MH, Schoonjans K. Hepatic glucose sensing and integrative pathways in the liver. Cell. Mol. Life Sci.2014. 71: 1453-1467 doi: 10.1007/s00018-013-1505-z

9. 

    Haber AL, . A single-cell survey of the small intestinal epithelium. Nature2017. 551: 333-339 doi: 10.1038/nature24489

10. 

    Grun D, . Single-cell messenger RNA sequencing reveals rare intestinal cell types. Nature2015. 525: 251-255 doi: 10.1038/nature14966

11. 

    Glass LL, . Single-cell RNA-sequencing reveals a distinct population of proglucagon-expressing cells specific to the mouse upper small intestine. Mol. Metab.2017. 6: 1296-1303 doi: 10.1016/j.molmet.2017.07.014

12. 

    Rocca AS, Brubaker PL. Role of the vagus nerve in mediating proximal nutrient-induced glucagon-like peptide-1 secretion. Endocrinology1999. 140: 1687-1694 doi: 10.1210/endo.140.4.6643

13. 

    Christiansen CB, . The impact of short-chain fatty acids on GLP-1 and PYY secretion from the isolated perfused rat colon. Am. J. Physiol. Gastrointest. Liver Physiol.2018. 315: G53-G65 doi: 10.1152/ajpgi.00346.2017

14. 

    Nauck MA, . Incretin effects of increasing glucose loads in man calculated from venous insulin and C-peptide responses. J. Clin. Endocrinol. Metab.1986. 63: 492-498 doi: 10.1210/jcem-63-2-492

15. 

16. 

    Song Y, . Gut-proglucagon-derived peptides are essential for regulating glucose homeostasis in mice. Cell Metab.2019. 30: 976-986 doi: 10.1016/j.cmet.2019.08.009

17. 

    Cote CD, Zadeh-Tahmasebi M, Rasmussen BA, Duca FA, Lam TK. Hormonal signaling in the gut. J. Biol. Chem.2014. 289: 11642-11649 doi: 10.1074/jbc.O114.556068

18. 

    Grasset E, . A specific gut microbiota dysbiosis of type 2 diabetic mice induces GLP-1 resistance through an enteric NO-dependent and gut-brain axis mechanism. Cell Metab.2017. 26: 278 doi: 10.1016/j.cmet.2017.06.003

19. 

    Ritter RC. A tale of two endings: modulation of satiation by NMDA receptors on or near central and peripheral vagal afferent terminals. Physiol. Behav.2011. 105: 94-99 doi: 10.1016/j.physbeh.2011.02.042

20. 

    Waise TMZ, Dranse HJ, Lam TKT. The metabolic role of vagal afferent innervation. Nat. Rev. Gastroenterol. Hepatol.2018. 15: 625-636 doi: 10.1038/s41575-018-0062-1

21. 

22. 

    Krieger JP, . Knockdown of GLP-1 receptors in vagal afferents affects normal food intake and glycemia. Diabetes2016. 65: 34-43

23. 

    Varin EM, . Distinct neural sites of GLP-1R expression mediate physiological versus pharmacological control of incretin action. Cell Rep.2019. 27: 3371-3384 doi: 10.1016/j.celrep.2019.05.055

24. 

    Diepenbroek C, . Validation and characterization of a novel method for selective vagal deafferentation of the gut. Am. J. Physiol. Gastrointest. Liver Physiol.2017. 313: G342-G352 doi: 10.1152/ajpgi.00095.2017

25. 

    Cheung GW, Kokorovic A, Lam CK, Chari M, Lam TK. Intestinal cholecystokinin controls glucose production through a neuronal network. Cell Metab.2009. 10: 99-109 doi: 10.1016/j.cmet.2009.07.005

26. 

    Soty M, Gautier-Stein A, Rajas F, Mithieux G. Gut-brain glucose signaling in energy homeostasis. Cell Metab.2017. 25: 1231-1242 doi: 10.1016/j.cmet.2017.04.032

27. 

    Greenberg D, Smith GP, Gibbs J. Intraduodenal infusions of fats elicit satiety in sham-feeding rats. Am. J. Physiol.1990. 259: R110-R118 doi: 10.1152/ajpcell.1990.259.1.C110

28. 

    Welch I, Saunders K, Read NW. Effect of ileal and intravenous infusions of fat emulsions on feeding and satiety in human volunteers. Gastroenterology1985. 89: 1293-1297 doi: 10.1016/0016-5085(85)90645-6

29. 

    Greenberg D, Kava RA, Lewis DR, Greenwood MR, Smith GP. Time course for entry of intestinally infused lipids into blood of rats. Am. J. Physiol.1995. 269: R432-R436

30. 

    French SJ, . The effects of intestinal infusion of long-chain fatty acids on food intake in humans. Gastroenterology2000. 119: 943-948 doi: 10.1053/gast.2000.18139

31. 

    Hajishafiee M, Bitarafan V, Feinle-Bisset C. Gastrointestinal sensing of meal-related signals in humans, and dysregulations in eating-related disorders. Nutrients2019. 11: 1298 doi: 10.3390/nu11061298

32. 

    Lu WJ, . Chylomicron formation and secretion is required for lipid-stimulated release of incretins GLP-1 and GIP. Lipids2012. 47: 571-580 doi: 10.1007/s11745-011-3650-1

33. 

    Randich A, . Responses of celiac and cervical vagal afferents to infusions of lipids in the jejunum or ileum of the rat. Am. J. Physiol. Regul. Integr. Comp. Physiol.2000. 278: R34-R43 doi: 10.1152/ajpregu.2000.278.1.R34

34. 

    Sakata Y, . Postabsorptive factors are important for satiation in rats after a lipid meal. Am. J. Physiol.1996. 271: G438-G442

35. 

    Matzinger D, . The role of long chain fatty acids in regulating food intake and cholecystokinin release in humans. Gut2000. 46: 688-693 doi: 10.1136/gut.46.5.689

36. 

    Lu VB, Gribble FM, Reimann F. Free fatty acid receptors in enteroendocrine cells. Endocrinology2018. 159: 2826-2835 doi: 10.1210/en.2018-00261

37. 

    Christensen LW, Kuhre RE, Janus C, Svendsen B, Holst JJ. Vascular, but not luminal, activation of FFAR1 (GPR40) stimulates GLP-1 secretion from isolated perfused rat small intestine. Physiol. Rep2015. 3: e12551 doi: 10.14814/phy2.12551

38. 

    Psichas A, Larraufie PF, Goldspink DA, Gribble FM, Reimann F. Chylomicrons stimulate incretin secretion in mouse and human cells. Diabetologia2017. 60: 2475-2485 doi: 10.1007/s00125-017-4420-2

39. 

    Tran TT, . Luminal lipid regulates CD36 levels and downstream signaling to stimulate chylomicron synthesis. J. Biol. Chem.2011. 286: 25201-25210 doi: 10.1074/jbc.M111.233551

40. 

    Schwartz GJ, . The lipid messenger OEA links dietary fat intake to satiety. Cell Metab.2008. 8: 281-288 doi: 10.1016/j.cmet.2008.08.005

41. 

    Sundaresan S, . CD36-dependent signaling mediates fatty acid-induced gut release of secretin and cholecystokinin. FASEB J.2013. 27: 1191-1202 doi: 10.1096/fj.12-217703

42. 

    Nakagawa A, . Receptor gene expression of glucagon-like peptide-1, but not glucose-dependent insulinotropic polypeptide, in rat nodose ganglion cells. Auton. Neurosci.2004. 110: 36-43 doi: 10.1016/j.autneu.2003.11.001

43. 

    Dailey MJ, Moghadam AA, Moran TH. Jejunal linoleic acid infusions require GLP-1 receptor signaling to inhibit food intake: implications for the effectiveness of Roux-en-Y gastric bypass. Am. J. Physiol. Endocrinol. Metab.2011. 301: E1184-E1190 doi: 10.1152/ajpendo.00335.2011

44. 

    Williams EK, . Sensory neurons that detect stretch and nutrients in the digestive system. Cell2016. 166: 209-221 doi: 10.1016/j.cell.2016.05.011

45. 

    Bauer PV, . Lactobacillus gasseri in the upper small intestine impacts an ACSL3-dependent fatty acid-sensing pathway regulating whole-body glucose homeostasis. Cell Metab.2018. 27: 572-587 doi: 10.1016/j.cmet.2018.01.013

46. 

    Wang PY, . Upper intestinal lipids trigger a gut-brain-liver axis to regulate glucose production. Nature2008. 452: 1012-1016 doi: 10.1038/nature06852

47. 

    Xiao C, Dash S, Morgantini C, Koulajian K, Lewis GF. Evaluation of the effect of enteral lipid sensing on endogenous glucose production in humans. Diabetes2015. 64: 2939-2943 doi: 10.2337/db15-0148

48. 

    Breen DM, . Duodenal PKC-delta and cholecystokinin signaling axis regulates glucose production. Diabetes2011. 60: 3148-3153 doi: 10.2337/db11-0852

49. 

    Takahashi A, . Involvement of calmodulin and protein kinase C in cholecystokinin release by bombesin from STC-1 cells. Pancreas2000. 21: 231-239 doi: 10.1097/00006676-200010000-00003

50. 

    Raybould HE, Meyer JH, Tabrizi Y, Liddle RA, Tso P. Inhibition of gastric emptying in response to intestinal lipid is dependent on chylomicron formation. Am. J. Physiol.1998. 274: R1834-R1838

51. 

    Meloni AR, DeYoung MB, Lowe C, Parkes DG. GLP-1 receptor activated insulin secretion from pancreatic beta-cells: mechanism and glucose dependence. Diabetes Obes. Metab.2013. 15: 15-27 doi: 10.1111/j.1463-1326.2012.01663.x

52. 

    Heruc GA, . Effects of dipeptidyl peptidase IV inhibition on glycemic, gut hormone, triglyceride, energy expenditure, and energy intake responses to fat in healthy males. Am. J. Physiol. Endocrinol. Metab.2014. 307: E830-E837 doi: 10.1152/ajpendo.00370.2014

53. 

    Wu T, . Comparative effects of intraduodenal fat and glucose on the gut-incretin axis in healthy males. Peptides2017. 95: 124-127 doi: 10.1016/j.peptides.2017.08.001

54. 

    Verspohl EJ, Ammon HP. Cholecystokinin (CCK8) regulates glucagon, insulin, and somatostatin secretion from isolated rat pancreatic islets: interaction with glucose. Pflug. Arch.1987. 410: 284-287 doi: 10.1007/BF00580278

55. 

    Duca FA, Sakar Y, Covasa M. The modulatory role of high fat feeding on gastrointestinal signals in obesity. J. Nutr. Biochem.2013. 24: 1663-1677 doi: 10.1016/j.jnutbio.2013.05.005

56. 

    Duca FA, Zhong L, Covasa M. Reduced CCK signaling in obese-prone rats fed a high fat diet. Horm. Behav.2013. 64: 812-817 doi: 10.1016/j.yhbeh.2013.09.004

57. 

    Duca FA, Swartz TD, Sakar Y, Covasa M. Decreased intestinal nutrient response in diet-induced obese rats: role of gut peptides and nutrient receptors. Int. J. Obes.2013. 37: 375-381 doi: 10.1038/ijo.2012.45

58. 

    Duca FA, Katebzadeh S, Covasa M. Impaired GLP-1 signaling contributes to reduced sensitivity to duodenal nutrients in obesity-prone rats during high-fat feeding. Obesity2015. 23: 2260-2268 doi: 10.1002/oby.21231

59. 

    Boyd KA, . High-fat diet effects on gut motility, hormone, and appetite responses to duodenal lipid in healthy men. Am. J. Physiol. Gastrointest. Liver Physiol.2003. 284: G188-G196 doi: 10.1152/ajpgi.00375.2002

60. 

    Brennan IM, . Effects of fat, protein, and carbohydrate and protein load on appetite, plasma cholecystokinin, peptide YY, and ghrelin, and energy intake in lean and obese men. Am. J. Physiol. Gastrointest. Liver Physiol.2012. 303: G129-G140 doi: 10.1152/ajpgi.00478.2011

61. 

    Speechly DP, Buffenstein R. Appetite dysfunction in obese males: evidence for role of hyperinsulinaemia in passive overconsumption with a high fat diet. Eur. J. Clin. Nutr.2000. 54: 225-233 doi: 10.1038/sj.ejcn.1600924

62. 

    Duca FA, Covasa M. Current and emerging concepts on the role of peripheral signals in the control of food intake and development of obesity. Br. J. Nutr.2012. 108: 778-793 doi: 10.1017/S0007114512000529

63. 

    Stewart JE, . Marked differences in gustatory and gastrointestinal sensitivity to oleic acid between lean and obese men. Am. J. Clin. Nutr.2011. 93: 703-711 doi: 10.3945/ajcn.110.007583

64. 

    Lee SJ, . Blunted vagal cocaine- and amphetamine-regulated transcript promotes hyperphagia and weight gain. Cell Rep.2020. 30: 2028-2039 doi: 10.1016/j.celrep.2020.01.045

65. 

    Burdyga G, . Expression of the leptin receptor in rat and human nodose ganglion neurones. Neuroscience2002. 109: 339-347 doi: 10.1016/S0306-4522(01)00474-2

66. 

    Peters JH, Simasko SM, Ritter RC. Modulation of vagal afferent excitation and reduction of food intake by leptin and cholecystokinin. Physiol. Behav.2006. 89: 477-485 doi: 10.1016/j.physbeh.2006.06.017

67. 

    Barrachina MD, Martinez V, Wang L, Wei JY, Tache Y. Synergistic interaction between leptin and cholecystokinin to reduce short-term food intake in lean mice. Proc. Natl Acad. Sci. USA1997. 94: 10455-10460 doi: 10.1073/pnas.94.19.10455

68. 

    de Lartigue G, . resistance in vagal afferent neurons inhibits cholecystokinin signaling and satiation in diet induced obese rats. PLoS ONE2012. 7: e32967 doi: 10.1371/journal.pone.0032967

69. 

    Batt RA. Decreased food intake in response to cholecystokinin (pancreozymin) in wild-type and obese mice (genotype ob/ob). Int. J. Obes.1983. 7: 25-29

70. 

    de Lartigue G, Ronveaux CC, Raybould HE. Deletion of leptin signaling in vagal afferent neurons results in hyperphagia and obesity. Mol. Metab.2014. 3: 595-607 doi: 10.1016/j.molmet.2014.06.003

71. 

    Rasmussen BA, . Duodenal activation of cAMP-dependent protein kinase induces vagal afferent firing and lowers glucose production in rats. Gastroenterology2012. 142: 834-843 doi: 10.1053/j.gastro.2011.12.053

72. 

73. 

    Lavin JH, . Appetite regulation by carbohydrate: role of blood glucose and gastrointestinal hormones. Am. J. Physiol.1996. 271: E209-E214

74. 

    Lavin JH, . Interaction of insulin, glucagon-like peptide 1, gastric inhibitory polypeptide, and appetite in response to intraduodenal carbohydrate. Am. J. Clin. Nutr.1998. 68: 591-598 doi: 10.1093/ajcn/68.3.591

75. 

    Schultes B, . Glycemic increase induced by intravenous glucose infusion fails to affect hunger, appetite, or satiety following breakfast in healthy men. Appetite2016. 105: 562-566 doi: 10.1016/j.appet.2016.06.032

76. 

    Williams DL, Baskin DG, Schwartz MW. Evidence that intestinal glucagon-like peptide-1 plays a physiological role in satiety. Endocrinology2009. 150: 1680-1687 doi: 10.1210/en.2008-1045

77. 

    Gorboulev V, . Na(+)-D-glucose cotransporter SGLT1 is pivotal for intestinal glucose absorption and glucose-dependent incretin secretion. Diabetes2012. 61: 187-196 doi: 10.2337/db11-1029

78. 

    Parker HE, . Predominant role of active versus facilitative glucose transport for glucagon-like peptide-1 secretion. Diabetologia2012. 55: 2445-2455 doi: 10.1007/s00125-012-2585-2

79. 

80. 

    Sun EW, . Mechanisms controlling glucose-induced GLP-1 secretion in human small intestine. Diabetes2017. 66: 2144-2149 doi: 10.2337/db17-0058

81. 

    Kuhre RE, Christiansen CB, Saltiel MY, Wewer Albrechtsen NJ, Holst JJ. On the relationship between glucose absorption and glucose-stimulated secretion of GLP-1, neurotensin, and PYY from different intestinal segments in the rat. Physiol. Rep2017. 5: e13507 doi: 10.14814/phy2.13507

82. 

    Jang HJ, . Gut-expressed gustducin and taste receptors regulate secretion of glucagon-like peptide-1. Proc. Natl Acad. Sci. USA2007. 104: 15069-15074 doi: 10.1073/pnas.0706890104

83. 

    Saltiel MY, . Sweet taste receptor activation in the gut is of limited importance for glucose-stimulated GLP-1 and GIP secretion. Nutrients2017. 9: 418 doi: 10.3390/nu9040418

84. 

    Han P, Bagenna B, Fu M. The sweet taste signalling pathways in the oral cavity and the gastrointestinal tract affect human appetite and food intake: a review. Int. J. Food Sci. Nutr.2019. 70: 125-135 doi: 10.1080/09637486.2018.1492522

85. 

    Chaikomin R, . Effects of mid-jejunal compared to duodenal glucose infusion on peptide hormone release and appetite in healthy men. Regul. Pept.2008. 150: 38-42 doi: 10.1016/j.regpep.2008.02.006

86. 

    Poppitt SD, . Duodenal and ileal glucose infusions differentially alter gastrointestinal peptides, appetite response, and food intake: a tube feeding study. Am. J. Clin. Nutr.2017. 106: 725-735

87. 

    Woltman T, Reidelberger R. Effects of duodenal and distal ileal infusions of glucose and oleic acid on meal patterns in rats. Am. J. Physiol.1995. 269: R7-R14

88. 

    Spiller RC, . The ileal brake–inhibition of jejunal motility after ileal fat perfusion in man. Gut1984. 25: 365-374 doi: 10.1136/gut.25.4.365

89. 

    Maljaars PW, Peters HP, Mela DJ, Masclee AA. Ileal brake: a sensible food target for appetite control. A review. Physiol. Behav.2008. 95: 271-281 doi: 10.1016/j.physbeh.2008.07.018

90. 

    Powell DR, . LX4211 increases serum glucagon-like peptide 1 and peptide YY levels by reducing sodium/glucose cotransporter 1 (SGLT1)-mediated absorption of intestinal glucose. J. Pharmacol. Exp. Ther.2013. 345: 250-259 doi: 10.1124/jpet.113.203364

91. 

    Zhang X, . Comparative effects of proximal and distal small intestinal glucose exposure on glycemia, incretin hormone secretion, and the incretin effect in health and type 2 diabetes. Diabetes Care2019. 42: 520-528

92. 

    Hansotia T, Drucker DJ. GIP and GLP-1 as incretin hormones: lessons from single and double incretin receptor knockout mice. Regul. Pept.2005. 128: 125-134 doi: 10.1016/j.regpep.2004.07.019

93. 

    Gasbjerg LS, . Separate and combined glucometabolic effects of endogenous glucose-dependent insulinotropic polypeptide and glucagon-like peptide 1 in healthy individuals. Diabetes2019. 68: 906-917 doi: 10.2337/db18-1123

94. 

    Ionut V, . Hepatic portal vein denervation impairs oral glucose tolerance but not exenatide’s effect on glycemia. Am. J. Physiol. Endocrinol. Metab.2014. 307: E644-E652 doi: 10.1152/ajpendo.00244.2014

95. 

    Hayes MR, . The common hepatic branch of the vagus is not required to mediate the glycemic and food intake suppressive effects of glucagon-like-peptide-1. Am. J. Physiol. Regul. Integr. Comp. Physiol.2011. 301: R1479-R1485 doi: 10.1152/ajpregu.00356.2011

96. 

    Lamont BJ, . Pancreatic GLP-1 receptor activation is sufficient for incretin control of glucose metabolism in mice. J. Clin. Investig.2012. 122: 388-402 doi: 10.1172/JCI42497

97. 

    Bauer PV, . Metformin alters upper small intestinal microbiota that impact a glucose-SGLT1-sensing glucoregulatory pathway. Cell Metab.2018. 27: 101-117 doi: 10.1016/j.cmet.2017.09.019

98. 

    Breen DM, . Jejunal nutrient sensing is required for duodenal-jejunal bypass surgery to rapidly lower glucose concentrations in uncontrolled diabetes. Nat. Med.2012. 18: 950-955 doi: 10.1038/nm.2745

99. 

    Yang M, . Duodenal GLP-1 signaling regulates hepatic glucose production through a PKC-delta-dependent neurocircuitry. Cell Death Dis.2017. 8: e2609 doi: 10.1038/cddis.2017.28

100. 

    Chapman IM, Goble EA, Wittert GA, Horowitz M. Effects of small-intestinal fat and carbohydrate infusions on appetite and food intake in obese and nonobese men. Am. J. Clin. Nutr.1999. 69: 6-12 doi: 10.1093/ajcn/69.1.6

101. 

    Naslund E, Hellstrom PM. Glucagon-like peptide-1 in the pathogenesis of obesity. Drug N. Perspect.1998. 11: 92-97 doi: 10.1358/dnp.1998.11.2.659947

102. 

    Duca FA, Sakar Y, Covasa M. Combination of obesity and high-fat feeding diminishes sensitivity to GLP-1R agonist exendin-4. Diabetes2013. 62: 2410-2415 doi: 10.2337/db12-1204

103. 

    Williams DL, . Maintenance on a high-fat diet impairs the anorexic response to glucagon-like-peptide-1 receptor activation. Physiol. Behav.2011. 103: 557-564 doi: 10.1016/j.physbeh.2011.04.005

104. 

    Perez C, Lucas F, Sclafani A. Devazepide, a CCK(A) antagonist, attenuates the satiating but not the preference conditioning effects of intestinal carbohydrate infusions in rats. Pharmacol. Biochem. Behav.1998. 59: 451-457 doi: 10.1016/S0091-3057(97)00439-5

105. 

    Gasbjerg LS, . Evaluation of the incretin effect in humans using GIP and GLP-1 receptor antagonists. Peptides2020. 125: 170183 doi: 10.1016/j.peptides.2019.170183

106. 

    Richards P, . High fat diet impairs the function of glucagon-like peptide-1 producing L-cells. Peptides2016. 77: 21-27 doi: 10.1016/j.peptides.2015.06.006

107. 

    Ryan AT, . Intraduodenal protein modulates antropyloroduodenal motility, hormone release, glycemia, appetite, and energy intake in lean men. Am. J. Clin. Nutr.2012. 96: 474-482 doi: 10.3945/ajcn.112.038133

108. 

    Ryan AT, . Effects of intraduodenal lipid and protein on gut motility and hormone release, glycemia, appetite, and energy intake in lean men. Am. J. Clin. Nutr.2013. 98: 300-311 doi: 10.3945/ajcn.113.061333

109. 

    Ullrich SS, . Comparative effects of intraduodenal protein and lipid on ghrelin, peptide YY, and leptin release in healthy men. American journal of physiology. Regulatory, Integr. Comp. Physiol.2015. 308: R300-R304 doi: 10.1152/ajpregu.00504.2014

110. 

    van Avesaat M, Ripken D, Hendriks HF, Masclee AA, Troost FJ. Small intestinal protein infusion in humans: evidence for a location-specific gradient in intestinal feedback on food intake and GI peptide release. Int J. Obes.2017. 41: 217-224 doi: 10.1038/ijo.2016.196

111. 

    Bensaid A, . Protein is more potent than carbohydrate for reducing appetite in rats. Physiol. Behav.2002. 75: 577-582 doi: 10.1016/S0031-9384(02)00646-7

112. 

    Reidelberger RD, Heimann D, Kelsey L, Hulce M. Effects of peripheral CCK receptor blockade on feeding responses to duodenal nutrient infusions in rats. Am. J. Physiol. Regul. Integr. Comp. Physiol.2003. 284: R389-R398 doi: 10.1152/ajpregu.00529.2002

113. 

    Darcel NP, Liou AP, Tome D, Raybould HE. Activation of vagal afferents in the rat duodenum by protein digests requires PepT1. J. Nutr.2005. 135: 1491-1495 doi: 10.1093/jn/135.6.1491

114. 

    Yox DP, Stokesberry H, Ritter RC. Vagotomy attenuates suppression of sham feeding induced by intestinal nutrients. Am. J. Physiol.1991. 260: R503-R508 doi: 10.1152/ajpcell.1991.260.3.C503

115. 

    LaPierre MP, Abraham MA, Yue JT, Filippi BM, Lam TK. Glucagon signalling in the dorsal vagal complex is sufficient and necessary for high-protein feeding to regulate glucose homeostasis in vivo. EMBO Rep.2015. 16: 1299-1307 doi: 10.15252/embr.201540492

116. 

    Claessens M, Calame W, Siemensma AD, van Baak MA, Saris WH. The effect of different protein hydrolysate/carbohydrate mixtures on postprandial glucagon and insulin responses in healthy subjects. Eur. J. Clin. Nutr.2009. 63: 48-56 doi: 10.1038/sj.ejcn.1602896

117. 

    Blouet C, . The reduced energy intake of rats fed a high-protein low-carbohydrate diet explains the lower fat deposition, but macronutrient substitution accounts for the improved glycemic control. J. Nutr.2006. 136: 1849-1854 doi: 10.1093/jn/136.7.1849

118. 

    Gannon MC, Nuttall FQ, Saeed A, Jordan K, Hoover H. An increase in dietary protein improves the blood glucose response in persons with type 2 diabetes. Am. J. Clin. Nutr.2003. 78: 734-741 doi: 10.1093/ajcn/78.4.734

119. 

    Steinert RE, . Effects of intraduodenal infusion of the branched-chain amino acid leucine on ad libitum eating, gut motor and hormone functions, and glycemia in healthy men. Am. J. Clin. Nutr.2015. 102: 820-827 doi: 10.3945/ajcn.115.114488

120. 

    Dranse HJ, . Physiological and therapeutic regulation of glucose homeostasis by upper small intestinal PepT1-mediated protein sensing. Nat. Commun.2018. 9: 1118 doi: 10.1038/s41467-018-03490-8

121. 

    Diakogiannaki E, . Oligopeptides stimulate glucagon-like peptide-1 secretion in mice through proton-coupled uptake and the calcium-sensing receptor. Diabetologia2013. 56: 2688-2696 doi: 10.1007/s00125-013-3037-3

122. 

    Caron J, Domenger D, Dhulster P, Ravallec R, Cudennec B. Protein digestion-derived peptides and the peripheral regulation of food intake. Front. Endocrinol.2017. 8: 85 doi: 10.3389/fendo.2017.00085

123. 

    Modvig IM, Kuhre RE, Holst JJ. Peptone-mediated glucagon-like peptide-1 secretion depends on intestinal absorption and activation of basolaterally located Calcium-Sensing Receptors. Physiol. Rep.2019. 7: e14056 doi: 10.14814/phy2.14056

124. 

    Mace OJ, Schindler M, Patel S. The regulation of K- and L-cell activity by GLUT2 and the calcium-sensing receptor CasR in rat small intestine. J. Physiol.2012. 590: 2917-2936 doi: 10.1113/jphysiol.2011.223800

125. 

    Wang JH, . Umami receptor activation increases duodenal bicarbonate secretion via glucagon-like peptide-2 release in rats. J. Pharmacol. Exp. Ther.2011. 339: 464-473 doi: 10.1124/jpet.111.184788

126. 

    Oya M, . The G protein-coupled receptor family C group 6 subtype A (GPRC6A) receptor is involved in amino acid-induced glucagon-like peptide-1 secretion from GLUTag cells. J. Biol. Chem.2013. 288: 4513-4521 doi: 10.1074/jbc.M112.402677

127. 

    Hutchison AT, . Comparative effects of intraduodenal whey protein hydrolysate on antropyloroduodenal motility, gut hormones, glycemia, appetite, and energy intake in lean and obese men. Am. J. Clin. Nutr.2015. 102: 1323-1331 doi: 10.3945/ajcn.115.114538

128. 

    Arciero PJ, . Moderate protein intake improves total and regional body composition and insulin sensitivity in overweight adults. Metabolism2008. 57: 757-765 doi: 10.1016/j.metabol.2008.01.015

129. 

    Pichon L, Huneau JF, Fromentin G, Tome D. A high-protein, high-fat, carbohydrate-free diet reduces energy intake, hepatic lipogenesis, and adiposity in rats. J. Nutr.2006. 136: 1256-1260 doi: 10.1093/jn/136.5.1256

130. 

    Lacroix M, . A long-term high-protein diet markedly reduces adipose tissue without major side effects in Wistar male rats. Am. J. Physiol. Regul. Integr. Comp. Physiol.2004. 287: R934-R942 doi: 10.1152/ajpregu.00100.2004

131. 

    Manders RJ, . Co-ingestion of a protein hydrolysate and amino acid mixture with carbohydrate improves plasma glucose disposal in patients with type 2 diabetes. Am. J. Clin. Nutr.2005. 82: 76-83 doi: 10.1093/ajcn/82.1.76

132. 

    Raben A, Agerholm-Larsen L, Flint A, Holst JJ, Astrup A. Meals with similar energy densities but rich in protein, fat, carbohydrate, or alcohol have different effects on energy expenditure and substrate metabolism but not on appetite and energy intake. Am. J. Clin. Nutr.2003. 77: 91-100 doi: 10.1093/ajcn/77.1.91

133. 

    Cani PD. Microbiota and metabolites in metabolic diseases. Nat. Rev. Endocrinol.2019. 15: 69-70 doi: 10.1038/s41574-018-0143-9

134. 

    Sonnenburg JL, Backhed F. Diet-microbiota interactions as moderators of human metabolism. Nature2016. 535: 56-64 doi: 10.1038/nature18846

135. 

    Ermund A, Schutte A, Johansson ME, Gustafsson JK, Hansson GC. Studies of mucus in mouse stomach, small intestine, and colon. I. Gastrointestinal mucus layers have different properties depending on location as well as over the Peyer’s patches. Am. J. Physiol. Gastrointest. Liver Physiol.2013. 305: G341-G347 doi: 10.1152/ajpgi.00046.2013

136. 

    El Aidy S, . The gut microbiota elicits a profound metabolic reorientation in the mouse jejunal mucosa during conventionalisation. Gut2013. 62: 1306-1314 doi: 10.1136/gutjnl-2011-301955

137. 

    Covasa M, Stephens RW, Toderean R, Cobuz C. Intestinal sensing by gut microbiota: targeting gut peptides. Front. Endocrinol.2019. 10: 82 doi: 10.3389/fendo.2019.00082

138. 

    Tolhurst G, . Short-chain fatty acids stimulate glucagon-like peptide-1 secretion via the G-protein-coupled receptor FFAR2. Diabetes2012. 61: 364-371 doi: 10.2337/db11-1019

139. 

    Zoetendal EG, . The human small intestinal microbiota is driven by rapid uptake and conversion of simple carbohydrates. ISME J.2012. 6: 1415-1426 doi: 10.1038/ismej.2011.212

140. 

    Zadeh-Tahmasebi M, . Activation of short and long chain fatty acid sensing machinery in the ileum lowers glucose production in vivo. J. Biol. Chem.2016. 291: 8816-8824 doi: 10.1074/jbc.M116.718460

141. 

    Chimerel C, . Bacterial metabolite indole modulates incretin secretion from intestinal enteroendocrine L cells. Cell Rep.2014. 9: 1202-1208 doi: 10.1016/j.celrep.2014.10.032

142. 

143. 

    Duca FA, Swartz TD, Sakar Y, Covasa M. Increased oral detection, but decreased intestinal signaling for fats in mice lacking gut microbiota. PLoS ONE2012. 7: e39748 doi: 10.1371/journal.pone.0039748

144. 

    Samuel BS, . Effects of the gut microbiota on host adiposity are modulated by the short-chain fatty-acid binding G protein-coupled receptor, Gpr41. Proc. Natl Acad. Sci. USA2008. 105: 16767-16772 doi: 10.1073/pnas.0808567105

145. 

    Ye L, . High fat diet induces microbiota-dependent silencing of enteroendocrine cells. Elife2019. 8: e48479 doi: 10.7554/eLife.48479

146. 

    Fredborg M, Theil PK, Jensen BB, Purup S. G protein-coupled receptor120 (GPR120) transcription in intestinal epithelial cells is significantly affected by bacteria belonging to the Bacteroides, Proteobacteria, and Firmicutes phyla. J. Anim. Sci.2012. 90: 10-12 doi: 10.2527/jas.53792

147. 

    de La Serre CB, de Lartigue G, Raybould HE. Chronic exposure to low dose bacterial lipopolysaccharide inhibits leptin signaling in vagal afferent neurons. Physiol. Behav.2015. 139: 188-194 doi: 10.1016/j.physbeh.2014.10.032

148. 

    de Lartigue G, Barbier de la Serre C, Espero E, Lee J, Raybould HE. Diet-induced obesity leads to the development of leptin resistance in vagal afferent neurons. Am. J. Physiol. Endocrinol. Metab.2011. 301: E187-E195 doi: 10.1152/ajpendo.00056.2011

149. 

    Wahlstrom A, Sayin SI, Marschall HU, Backhed F. Intestinal crosstalk between bile acids and microbiota and its impact on host metabolism. Cell Metab.2016. 24: 41-50 doi: 10.1016/j.cmet.2016.05.005

150. 

    Jiang C, . Intestine-selective farnesoid X receptor inhibition improves obesity-related metabolic dysfunction. Nat. Commun.2015. 6: 10166 doi: 10.1038/ncomms10166

151. 

    Trabelsi MS, . Farnesoid X receptor inhibits glucagon-like peptide-1 production by enteroendocrine L cells. Nat. Commun.2015. 6: 7629 doi: 10.1038/ncomms8629

152. 

    Thomas C, . TGR5-mediated bile acid sensing controls glucose homeostasis. Cell Metab.2009. 10: 167-177 doi: 10.1016/j.cmet.2009.08.001

153. 

    Rani RP, Anandharaj M, Ravindran AD. Characterization of bile salt hydrolase from Lactobacillus gasseri FR4 and demonstration of its substrate specificity and inhibitory mechanism using molecular docking analysis. Front. Microbiol.2017. 8: 1004 doi: 10.3389/fmicb.2017.01004

154. 

    Beysen C, . Effect of bile acid sequestrants on glucose metabolism, hepatic de novo lipogenesis, and cholesterol and bile acid kinetics in type 2 diabetes: a randomised controlled study. Diabetologia2012. 55: 432-442 doi: 10.1007/s00125-011-2382-3

155. 

    Foretz M, Guigas B, Viollet B. Understanding the glucoregulatory mechanisms of metformin in type 2 diabetes mellitus. Nat. Rev. Endocrinol.2019. 15: 569-589 doi: 10.1038/s41574-019-0242-2

156. 

    Bailey CJ, Wilcock C, Scarpello JH. Metformin and the intestine. Diabetologia2008. 51: 1552-1553 doi: 10.1007/s00125-008-1053-5

157. 

    Stepensky D, Friedman M, Raz I, Hoffman A. Pharmacokinetic-pharmacodynamic analysis of the glucose-lowering effect of metformin in diabetic rats reveals first-pass pharmacodynamic effect. Drug Metab. Dispos.2002. 30: 861-868 doi: 10.1124/dmd.30.8.861

158. 

    Sun L, . Gut microbiota and intestinal FXR mediate the clinical benefits of metformin. Nat. Med.2018. 24: 1919-1929 doi: 10.1038/s41591-018-0222-4

159. 

    Shin NR, . An increase in the Akkermansia spp. population induced by metformin treatment improves glucose homeostasis in diet-induced obese mice. Gut2014. 63: 727-735 doi: 10.1136/gutjnl-2012-303839

160. 

    Lee CJ, Sears CL, Maruthur N. Gut microbiome and its role in obesity and insulin resistance. Ann. N. Y. Acad. Sci.2020. 1461: 37-52 doi: 10.1111/nyas.14107

161. 

    Arora T, . Diabetes-associated microbiota in fa/fa rats is modified by Roux-en-Y gastric bypass. ISME J.2017. 11: 2035-2046 doi: 10.1038/ismej.2017.70

162. 

    Ryan KK, . FXR is a molecular target for the effects of vertical sleeve gastrectomy. Nature2014. 509: 183-188 doi: 10.1038/nature13135

163. 

    Bai L, . Genetic identification of vagal sensory neurons that control feeding. Cell2019. 179: 1129-1143 doi: 10.1016/j.cell.2019.10.031

164. 

    Kaelberer MM, . A gut-brain neural circuit for nutrient sensory transduction. Science2018. 361: eaat5236 doi: 10.1126/science.aat5236

165. 

    Pradhananga S, Tashtush AA, Allen-Vercoe E, Petrof EO, Lomax AE. Protease-dependent excitation of nodose ganglion neurons by commensal gut bacteria. J. Physiol2020. 598: 2137-2151 doi: 10.1113/JP279075

166. 

    Blouet C, Schwartz GJ. Duodenal lipid sensing activates vagal afferents to regulate non-shivering brown fat thermogenesis in rats. PLoS ONE2012. 7: e51898 doi: 10.1371/journal.pone.0051898

167. 

    Krieger JP, . Glucagon-like peptide-1 regulates brown adipose tissue thermogenesis via the gut-brain axis in rats. Am. J. Physiol. Regul. Integr. Comp. Physiol.2018. 315: R708-R720 doi: 10.1152/ajpregu.00068.2018

168. 

    Liu C, . PPARgamma in vagal neurons regulates high-fat diet induced thermogenesis. Cell Metab.2014. 19: 722-730 doi: 10.1016/j.cmet.2014.01.021

169. 

    Osaka T, Kobayashi A, Inoue S. Thermogenesis induced by osmotic stimulation of the intestines in the rat. J. Physiol.2001. 532: 261-269 doi: 10.1111/j.1469-7793.2001.0261g.x

170. 

    Moreno-Navarrete JM, Fernandez-Real JM. The gut microbiota modulates both browning of white adipose tissue and the activity of brown adipose tissue. Rev. Endocr. Metab. Disord.2019. 20: 387-397 doi: 10.1007/s11154-019-09523-x