Roux-en-Y gastric bypass (RYGB) reliably produces sustained weight losses, reduces circulating blood glucose, and lowers risk of type 2 diabetes (1). Accompanying these benefits, however, is symptomatic hypoglycemia, reported by up to one-third of post–bariatric surgery patients (2,3). In an estimated <1% of RYGB patients (4), postprandial hyperinsulinemic hypoglycemia causes severe symptoms including neuroglycopenia with significant morbidity. New mechanistic insights and treatment options for these patients are needed. Potential contributors include rapid glucose delivery into the bloodstream, improved β-cell function, and gut adaptations, but the role of the central nervous system (CNS) is an important and underdeveloped area of research (3). In their article in this issue of Diabetes, Almby et al. (5) investigate whether RYGB alters the brain response to hypoglycemia in humans—a topic with further relevance to the CNS contribution to RYGB’s modification of overall glucose homeostasis.

Human neuroimaging studies document RYGB-induced changes in brain function and suggest reversibility of obesity-associated findings (68). Studies of cerebral metabolism measuring [18F]-fluorodeoxyglucose uptake by positron emission tomography (FDG-PET) show that brain glucose uptake is elevated in participants with obesity and partially reversed post-RYGB (6,7), but controlled studies of the cerebral metabolic response to insulin-induced hypoglycemia are lacking. Cerebral blood flow response to insulin-induced hypoglycemia assessed by arterial spin labeling (ASL) showed increased regional blood flow (vs. euglycemia) in the cortex, thalamus (9), and hypothalamus (10) in healthy adults. Almby et al. provide novel data on the effect of RYGB on brain response to hypoglycemia (5).

Almby et al. included 11 participants that underwent, before and 4 months after RYGB, a comprehensive assessment of brain glucose metabolism and function, cognitive performance, and hormonal responses during a two-stage, normo- and hypoglycemic hyperinsulinemic clamp (5). During normoglycemia, global tracer influx rate (Ki) and estimated total brain glucose uptake (MRglu) by FDG-PET decreased postoperatively, an indirect measure indicating lower metabolic demand, whereas global cerebral blood flow increased. During hypoglycemia, RYGB attenuated counterregulatory responses by glucagon and cortisol. Glucose influx was greater during hypoglycemia (vs. normoglycemia) in diffuse brain regions but lower in the hypothalamus, a finding that was present both pre- and post-RYGB. As seen for normoglycemia, global cerebral blood flow increased from pre- to post-RYGB during hypoglycemia, positively correlating with cognitive function. Post-RYGB changes by functional magnetic resonance imaging (fMRI) were found only during the glucose-lowering phase of the clamp and consisted of 1) increased activity within a functional network that included the thalamus, hypothalamus, and right frontal regions, and 2) changes in functional connectivity between a region of interest in the lateral hypothalamus and the hippocampus and cerebellum.

Strengths of this intensive study include simultaneous blood sampling, clamped control of blood glucose, and multimodal neuroimaging providing complementary data on brain glucose metabolism, cerebral blood flow, and functional networks (5). The most significant limitation is small sample size, requiring cautious conclusions particularly regarding fMRI outcomes (11). The lack of a control group limits conclusions about RYGB versus the effects of weight loss itself, and numerous other physiologic and behavioral changes resulting from RYGB (Fig. 1A) are also potential confounders or mediators of the observed CNS effects of surgery. Finally, CNS mediators of postbariatric postprandial hypoglycemia might only become apparent years after RYGB or once individuals are symptomatic. Nonetheless, the complex protocol will make larger studies challenging, so identifying takeaways and next directions informed by the unique approach of Almby et al. is worthwhile (5).

Figure 1

Model describing the relationship between RYGB surgery, peripheral glucose concentration, and the CNS. A: RYGB surgery reconstructs gastrointestinal (GI) anatomy impacting nutrient absorption, gastric emptying, enervation, and gut microbiome, among other factors. RYGB surgery and accompanying weight loss also change circulating hormones and adipokines such as, but not limited to, increased levels of polypeptide YY (PYY), glucagon-like peptide 1 (GLP-1), and amylin; potential relative deficiencies of ghrelin and increases in growth hormone (GH); and reduction in proinflammatory markers. These established multifactorial contributors act to modify peripheral glucose concentration, which could then lead to CNS adaptations (black arrows). Purple arrows show areas for further investigation with an alternative model that proposes RYGB surgery and/or accompanying reduced adiposity impacts the CNS regulation of glucose metabolism, likely at the level of the hypothalamus, thereby contributing to postsurgical improvements in peripheral glucose concentrations in a bidirectional manner. B: CNS changes after RYGB surgery and weight loss as described by Almby et al. (5) during normoglycemia (5.0 mmol/L), glucose-lowering, and hypoglycemia (2.7 mmol/L). Figure created with BioRender (biorender.com).

Figure 1

Model describing the relationship between RYGB surgery, peripheral glucose concentration, and the CNS. A: RYGB surgery reconstructs gastrointestinal (GI) anatomy impacting nutrient absorption, gastric emptying, enervation, and gut microbiome, among other factors. RYGB surgery and accompanying weight loss also change circulating hormones and adipokines such as, but not limited to, increased levels of polypeptide YY (PYY), glucagon-like peptide 1 (GLP-1), and amylin; potential relative deficiencies of ghrelin and increases in growth hormone (GH); and reduction in proinflammatory markers. These established multifactorial contributors act to modify peripheral glucose concentration, which could then lead to CNS adaptations (black arrows). Purple arrows show areas for further investigation with an alternative model that proposes RYGB surgery and/or accompanying reduced adiposity impacts the CNS regulation of glucose metabolism, likely at the level of the hypothalamus, thereby contributing to postsurgical improvements in peripheral glucose concentrations in a bidirectional manner. B: CNS changes after RYGB surgery and weight loss as described by Almby et al. (5) during normoglycemia (5.0 mmol/L), glucose-lowering, and hypoglycemia (2.7 mmol/L). Figure created with BioRender (biorender.com).

Close modal

As previously observed (12), the counterregulatory hormone response to hypoglycemia was dampened post-RYGB (5). Were CNS responses similarly altered? While hypoglycemia induced an increase in global brain glucose influx rate relative to normoglycemia, the magnitude of this response did not differ from pre- to post-RYGB, nor did ASL results (5). With the possible exception of fMRI results restricted to the glucose-lowering phase of the clamp procedure (Fig. 1B), the findings do not support the conclusion that RYGB specifically impacts CNS response to hypoglycemia. Negative findings could be related to the inability of the techniques applied to spatially resolve hypothalamic nuclei involved in counterregulation (13), or to the fact that subtypes of neurons within the same region are activated while others are reciprocally inhibited by hypoglycemia (14).

Nevertheless, the observations by Almby et al. (5) join a growing literature documenting that bariatric surgery affects the brain. The brain might not only passively adapt to lower circulating glucose but also actively contribute to glucose lowering in a bidirectional manner (15,16) (Fig. 1A). For example, RYGB acts on the ventromedial hypothalamus to improve hepatic insulin sensitivity in rodents (17). Almby et al. hypothesize that the “set point” of circulating blood glucose was lowered postoperatively, explaining blunted counterregulatory response (5). What specific CNS mechanisms might lower glycemic “set point”? Could the current study’s findings be mechanistically related to the metabolic benefits of RYGB? Durable lowering of circulating blood glucose by the CNS has been demonstrated through intracerebroventricular injection of fibroblast growth-factor 1 (FGF-1) (18). Whether FGF-1's mode of action overlaps with that of RYGB is unknown. Reductions in inflammation in the mediobasal hypothalamus after RYGB-induced weight loss (19) offer another plausible link to CNS-mediated improvements in glucose regulation (20). Finally, astrocytes govern the efficiency of systemic glucose entry into the brain and thereby influence hypothalamic glucose sensing and, consequently, homeostatic responses to glucoprivation and hyperglycemia (16), making astrocytes and neuron–glia interactions compelling and understudied areas of research for both dampened counterregulatory response and improved glucose metabolism post-RYGB.

Looking forward, it will be critical to further interrogate the brain’s role in the metabolic consequences of bariatric surgery. Delineating neuronal circuitry, identifying glial cell mechanisms, and testing causality will require preclinical models, but human studies should augment these experiments. Neuroimaging studies of patients with postbariatric hypoglycemia are needed as are investigations of the early postoperative period to determine which CNS findings precede improved glucose metabolism and might be driving—rather than adapting—to it. Although the current study (5) did not provide direct leads to ameliorate clinically significant post-RYGB hypoglycemia, it suggests that pursuing broader questions regarding the CNS role in control of peripheral blood glucose could be revealing.

See accompanying article, p. 1265.

Acknowledgments. The authors are grateful to Drs. Jenny Tong (Veterans Administration Puget Sound Health Care System) and Katya Rubinow (University of Washington Department of Medicine) for their valuable comments.

Funding. The authors were supported by funding provided by the National Institutes of Health National Institute of Diabetes and Digestive and Kidney Diseases (DK089036, DK098466, DK117623), the University of Washington Nutrition Obesity Research Center (P30 DK035816), and the American Diabetes Association (ADA 1-17-ICTS-085).

Duality of Interest. No potential conflicts of interest relevant to this article were reported.

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