Abstract
Purpose
In patients with type 2 diabetes mellitus (T2DM), Roux-en-Y gastric bypass (RYGB) leads to beneficial metabolic adaptations, including enhanced incretin secretion, beta-cell function, and systemic insulin sensitivity. We explored the impact of RYGB on pituitary, pancreatic, gut hormones, and cortisol responses to parenteral and enteral nutrient stimulation in patients with obesity and T2DM with repeated sampling up to 2 years after intervention.
Methods
We performed exploratory post hoc analyses in a previously reported randomized trial. Levels of adrenocorticotropic hormone (ACTH), cortisol, growth hormone (GH), glucagon-like peptide 1 (GLP-1), glucose-dependent insulinotropic peptide (GIP), peptide YY (PYY), ACTH, insulin, and glucagon were measured in 13 patients with T2DM and obesity at four different visits: before and 4, 24, and 104 weeks after RYGB; and in three sequential conditions on the same day: fasting, intravenous arginine challenge, and OGTT.
Results
RYGB surprisingly induced a rise in ACTH, cortisol, and GH levels upon an oral glucose load, together with enhanced GLP-1 and PYY responses. Fasting and post-arginine GH levels were higher after RYGB, whereas insulin, glucagon, GLP-1, GIP, and cortisol were lower. These endocrine adaptations were seen as early as 4 weeks after surgery and were maintained for up to 2 years.
Conclusion
These findings indicate adaptations of glucose sensing mechanisms and responses in multiple endocrine organs after RYGB, involving the gut, pancreatic islets, the pituitary gland, the adrenals, and the brain.
Introduction
Besides inducing significant and durable weight loss, Roux-en-Y gastric bypass (RYGB) improves glycemic control in insulin-resistant patients and can prevent or reverse type 2 diabetes mellitus (T2DM) (1, 2, 3). This metabolic shift is partly independent of weight loss, and the underlying mechanisms are not completely understood (3, 4, 5, 6). Shortly after RYGB, a greater incretin response occurs post-prandially, which enhances insulin secretion, reduces food intake, and contributes to improved systemic insulin sensitivity (7, 8). This is related to the rearranged gastrointestinal anatomy resulting in rapid transport of ingested nutrients to the small intestine (3). However, CNS and neuroendocrine pathways have been suggested to play a role in mediating the effects of RYGB on glucose homeostasis (9, 10).
Intravenous administration of an l-arginine bolus is a well-established technique for assessing beta-cell secretion capacity (11). It also has potent secretagogue effects on pancreatic alpha-cells, gut L-cells, and anterior pituitary somatotrope cells (12, 13, 14, 15, 16), but not on ACTH-producing anterior pituitary cells (17). Notably, little is known about whether RYGB affects endocrine responses to this aminoacidic stimulus (18).
The oral glucose tolerance test (OGTT) is a standardized technique to assess the metabolic and overall hormonal response to an oral glucose load and is a validated diagnostic tool for impaired glucose tolerance, T2DM, and gestational diabetes mellitus (19).
We have recently reported rapid effects on neuroendocrine regulation following RYGB (8) as well as early and late adipose tissue effects in patients with obesity and T2DM (9, 20). We have now performed additional exploratory analyses in the same cohort, and the current work aimed to explore the changes in the dynamic endocrine response induced by RYGB in patients with T2DM using two different nutrient challenges, namely intravenous arginine challenge and OGTT. RYGB-induced neuroendocrine adaptations might be different during nutrient challenges as compared to fasting, and we hypothesize that RYGB may not only alter nutrient-induced secretion of hormones secreted by the gut and pancreatic islets but also of others produced by the pituitary and adrenal glands. Therefore, in this study, we assess growth hormone (GH), ACTH, and cortisol levels, which are largely unexplored in this context. Herein, we report exploratory post hoc analyses of multiple hormones in patients with obesity and T2DM followed up for 2 years after RYGB. We highlight the novel findings on the responses of GH and the hypothalamus–pituitary–adrenal (HPA) axis to oral glucose following RYGB. For the first time in this context, we also characterize responses to intravenous arginine stimulation.
Materials and methods
Study design and ethics
This exploratory post hoc analysis is part of a previously described randomized controlled trial (8, 9, 20) carried out in 19 patients (18–65 years, BMI: 30–45 kg/m2) with T2DM, diagnosed less than 10 years before the study entry and treated with oral antidiabetic medication (Supplementary Table 2, see section on supplementary materials given at the end of this article). The subjects were randomly assigned 2:1 to RYGB or standard-of-care medical treatment without any other weight-lowering treatment. Further characteristics of this cohort are presented in Supplementary Table 1 and have been reported previously (8, 9, 20). Data on other neuroendocrine responses from this cohort in a shorter follow-up have been previously reported, together with fasting data (8, 9).
The study (clinicaltrials.gov NCT02729246) was conducted in accordance with the Declaration of Helsinki and approved by the Regional Ethics Review Board in Uppsala (Dnr 2014/255). All participants had given their written informed consent before enrolment.
Study procedures
The 13 patients who underwent RYGB were studied at four-time points: (i) before surgical intervention (pre-surgery visit); (ii) 4 weeks; (iii) 24 weeks; (iv) 104 weeks after intervention. Data from the six patients belonging to the control group were obtained only at the first visit (baseline) and at 24 weeks. Anthropometric measurements (weight, waist/hip circumference, and bioimpedance for body fat measurement), subcutaneous adipose tissue biopsies, OGTT, and arginine challenge were performed in 1-day visits after an overnight fast. Individuals randomized to surgery followed a low-calorie diet (LCD, 3350–4600 kJ/day) for 4 weeks after the pre-surgery visit before undergoing surgical intervention, according to clinical routine. After RYGB, antidiabetic medications were reduced or withdrawn, and other medication changes were made as clinically appropriate (9).
Blood samples were collected for hormonal measurements in the morning starting at 08:00 h under the following conditions and in this sequence: (i) after overnight fast; (ii) 3 min after administrating an intravenous bolus dose of arginine 5 g (infused over 15–20 s); (iii) during a 3 h OGTT (75 g) with sampling at 0, 15, 30, 60, 90, 120, and 180 min, starting 30 min after arginine administration. The arginine challenge was first used to assess functional beta-cell reserve. According to the original protocol, samples were obtained 3 min after 5 g arginine bolus administration to assess beta-cell secretion capacity (11). The Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), Matsuda insulin sensitivity index, and the insulinogenic indices were calculated.
Biochemical measurements
Assays and materials have been described previously (20). Plasma and serum samples for all assessments, except those immediately performed, were frozen and stored at −80°C. For analyses, commercially available ELISA or multiplex kits were used: glucagon and glicentin (Mercodia, Uppsala, Sweden); total glucagon-like peptide (GLP)-1 (7-36 and 9-36) and total glucose-dependent insulinotropic peptide (GIP) (Merck Millipore, Darmstadt, Germany); peptide YY (PYY) and GH (Meso Scale Discovery, Rockville, USA); or with routine methods at the Uppsala University Hospital chemical laboratory (ACTH, cortisol). All protocols were followed according to the manufacturers’ instructions. The glucagon measurements were performed both with the previously used simultaneous assay protocol (n = 13) (21) and with the improved-specificity sequential protocol, as reported by Roberts et al. (n = 7) (22). The glicentin assay was performed on OGTT samples only taken before surgery and at 4 and 104 weeks after RYGB (n = 5).
Statistical analyses
Analyses of variance across visits were performed with mixed-effect models for glucose and all hormones. Areas under the curve for the OGTT (AUCOGTT) were calculated using the trapezoidal rule. Values of missing samples at the first and last time point of the OGTT were interpolated from the mean of the adjacent measured values. Pairwise comparisons between follow-up and pre-surgery data for the RYGB and the control groups were performed with paired t-tests. Hormonal level comparisons between control and surgical patients were performed with independent t-tests. Correlation analyses were performed using Spearman’s test. Data are presented as mean ± s.e. unless otherwise indicated. All analyses and calculations were performed using GraphPad Prism 9 and Microsoft Excel for Mac 16.
Results
Fasting and arginine challenge
Following RYGB, circulating levels of glucose, insulin, total glucagon-like peptide 1 (GLP-1), and GIP were reduced both in the fasting state and during the arginine challenge for the whole follow-up, while cortisol levels were reduced only at 4 weeks after surgery. Glucagon levels were significantly decreased only during fasting (Fig. 1 and Supplementary Table 3). Arginine infusion significantly enhanced secretion of insulin, glucagon, and total GLP-1 during the pre-surgical visit and throughout the follow-up compared to fasting. However, the arginine challenge-fold effect on all hormonal levels was unaffected by RYGB (Supplementary Fig. 2).
RYGB induced a significant rise in GH levels both in the fasting state and during the arginine challenge, with a maximal increase 24 weeks after surgery (Fig. 1 and Supplementary Table 3).
The variation of the hormonal levels during the arginine challenge 104 weeks after surgery was not associated with pre-surgical age, weight, BMI, waist-to-hip ratio, total body fat, HbA1c, HOMA-IR, Matsuda index, disposition index, or their 2-year post-surgical change (data not shown).
Thirty minutes after arginine administration (at the beginning of the OGTT), all hormonal values had returned to the fasting level; therefore, a carryover effect of previous arginine administration during the OGTT is unlikely.
The control subjects did not show changes in the level of any analyzed hormone (glucagon, GLP-1, GIP, GH, and PYY) during either fasting or arginine challenge between baseline and 24-week follow-up, with the exception of ACTH (P = 0.03 for both conditions). Also, the baseline hormonal values of the control patients were similar to the pre-surgery levels of the patients who underwent RYGB (data not shown).
OGTT
Glucose levels during the OGTT were characterized by an earlier peak, a more rapid decrease, and reduced AUC at post-surgery visits compared to pre-surgery (Supplementary Fig. 1). Dumping symptoms during the OGTT were experienced by seven, five, and two patients at the 4-week, 24-week, and 2-year follow-up visits, respectively.
We show significantly elevated total and incremental AUCOGTT for ACTH and cortisol throughout the follow-up (Fig. 2 and Supplementary Fig. 3). This affected all patients independently of dumping symptoms (Supplementary Table 4). The enhanced HPA-axis responses remained stable throughout the 2-year follow-up period, whereas dumping episodes were markedly fewer over time. We also observed a significant increase in the AUCOGTT for total GLP-1 and PYY in all follow-up visits after surgery compared to pre-surgery. We observed no correlation between GLP-1 and ACTH or cortisol levels in the post-surgery follow-up visits 30 min after glucose ingestion (r = 0.108, P = 0.55; r = 0.131, P = 0.46, respectively). Despite the curve shape alteration, the GIP AUCOGTT was unchanged, which can be explained by an earlier and higher peak followed by a quicker fall of its plasma concentration. Furthermore, the total AUCOGTT of GH was elevated throughout the follow-up, with the highest value at 4 weeks after surgery (Fig. 2). However, the GH incremental AUCOGTT was unchanged, albeit with a decreasing trend (Supplementary Fig. 3).
The glucagon levels measured using the improved-specificity sequential protocol (see the ‘Materials and methods’ section) were slightly decreased during OGTT 2 years after RYGB vs pre-surgery (Fig. 2). The new glucagon assay did not replicate the previous findings that showed high glucagon levels after surgery when using the simultaneous assay protocol (8, 23). The difference can be explained by the previous assay’s cross-reactivity with glicentin (24), which was markedly elevated after RYGB (Supplementary Fig. 4).
The change in any hormonal AUCOGTT 2 years after surgery was not associated with pre-surgery age, weight, BMI, waist-to-hip ratio, total body fat, HbA1c, HOMA-IR, Matsuda index, disposition index, or their 2-year post-surgery change (data not shown).
The control patients did not show differences in AUCOGTT of total GLP-1, GIP, GH, and PYY between the baseline and 24-week follow-up visits (data not shown).
Discussion
We assessed for the first time dynamic and parallel responses of pituitary, pancreatic, gut hormones, and cortisol during both an arginine challenge test and an OGTT in a cohort of patients with T2DM who underwent RYGB and in repeated follow-up visits up to 2 years after intervention (Table 1). Our results support that many of the endocrine changes seen in the first post-operative month are robustly sustained up to 2 years after the intervention, both during fasting and under nutrient stimulation.
A comprehensive scheme of hormonal changes induced by RYGB in patients with obesity and T2DM 2 years after intervention.
Hormones | Fasting | 3 min after intravenous arginine administration | AUCOGTT |
---|---|---|---|
ACTH | ⬄ | ⬄ | ⬆ |
Cortisol | ⬄ | ⬄ | ⬆ |
GH | ⬆ | ⬆ | ⬆ |
Total GLP-1 | ⬇ | ⬇ | ⬆ |
Total GIP | ⇩ | ⬇ | ⬄ |
PYY | ⬄ | ⬄ | ⬆ |
Insulin | ⇩ | ⇩ | ⬇ |
Glucagon | ⬇ | ⬄ | ⬄ |
Mixed-effects models for differences across visits. Down arrow: significant (black, P < 0.05) or nearly significant (white, P < 0.10) reduction. Horizontal arrow: no significant change (P > 0.10). Up arrow: significant (black, P < 0.05) or nearly significant (white, P < 0.10) increase.
ACTH, adrenocorticotropic hormone; GH, growth hormone; GLP-1, glucagon-like peptide 1; GIP, glucose-dependent insulinotropic polypeptide; PYY, peptide YY.
HPA-axis and GH
Fasting cortisol levels were slightly reduced after RYGB, suggesting a lower adrenal counterregulatory drive in the fasting state after RYGB. We did not observe any secretagogue effect of intravenous arginine itself on the HPA-axis, as recently reported in healthy individuals (17).
GH secretion is impaired in basal conditions and upon stimulation in individuals with obesity (25, 26). We reported higher fasting levels of GH after surgery, which is consistent with the higher IGF-1 levels that we have previously shown (9). This is in line with previous findings in individuals without diabetes (27). The elevation in GH could be mediated by higher fasting levels of ghrelin, which is known to promote GH secretion (28). However, reduced ghrelin levels have been reported up to 3 months after RYGB (29), while we showed higher GH levels even 4 weeks after RYGB. Our data suggest that RYGB can restore GH-axis functionality via weight reduction and associated changes in body composition in patients with T2DM. Even though arginine is known to stimulate pituitary somatotrope cells (30), we did not see increased levels of GH during the arginine challenge. However, 3 min after the bolus might not be sufficient to detect its effect (31, 32). Standard protocols for eliciting GH response imply larger doses of arginine administrated continuously together with GH-releasing hormone for 30 min (31). In addition, arginine administration might have affected GH levels during OGTT. Indeed, the study procedure was repeated in the same manner throughout the follow-up, thus excluding biases in the assessment of RYGB on hormonal levels. Also, GH, ACTH, and cortisol are secreted in a pulsatile fashion, which might interfere with detecting consistent differences in their levels with our study design. However, since pulse periods are around 2 h (ACTH and cortisol) (32) and 3 h (GH) (33), it is unlikely that this variability interfered with the effects measured 3 min after arginine administration.
To the best of our knowledge, this is the first study assessing the effect of RYGB on the HPA-axis response to a glucose load. Total and incremental AUCOGTT for both ACTH and cortisol were significantly increased, although a glucose load is known to suppress cortisol secretion, irrespectively of obesity or insulin resistance (34, 35, 36). This suggests that following RYGB, the HPA-axis became susceptible to stimulation by OGTT. A recent review has suggested a direct stimulatory effect of GLP-1 on the HPA-axis via enhanced secretion of corticotropin-releasing hormone (37). Of note, there are no published data on whether other hormonal responses are differentially affected by oral or intravenous glucose load after RYGB. However, preliminary results from an ongoing study of ours (38) indicate that in participants with obesity there were no changes in either ACTH and cortisol levels during a hyperglycemic clamp, and this was also unchanged after RYGB. This would argue that the rise in ACTH and cortisol in the present work following RYGB is specific to oral glucose administration, suggesting the relevance of the glucose–gut interaction in regulating the HPA-axis. However, we did not find any correlation between GLP-1 levels and ACTH and cortisol levels 30 min after glucose load (peak time) in the post-RYGB visits. Further studies are warranted to investigate whether incretins themselves are responsible for these post-RYGB endocrine adaptations. We cannot exclude that the HPA-axis activation was related to early dumping syndrome and its hemodynamic implications that activate the stress response, since there was a trend for higher ACTH and cortisol levels in patients who experienced early dumping syndrome symptoms during the glucose challenge.
GH AUCOGTT was increased after RYGB, while GH incremental AUCOGTT showed a decreasing trend, suggesting that the GH response to glucose was mainly dependent on higher fasting GH levels. Our result supports that weight reduction following RYGB can restore GH-axis responsiveness to various stimuli (38), even though much of the response was dependent on higher pre-OGTT fasting GH levels. It is possible that changes in ghrelin levels have influenced the GH response since ghrelin levels during the OGTT are known to be suppressed in post-RYGB individuals (39).
Incretins
In the fasting condition, we observed reduced levels of total GLP-1 and total GIP after surgery, which were maintained up to 2 years after the intervention. Accordingly, previous findings identified both lower (40, 41, 42) or unchanged (43) fasting total GLP-1 levels after RYGB, either in individuals with or without diabetes.
Besides its known secretagogue effect on beta- and alpha-cells and on somatotrope anterior pituitary cells (15, 30), intravenous arginine has been shown to stimulate GLP-1 secretion both in euglycemic and dysglycemic individuals (44), independently of beta-cell function (12). During the arginine challenge, we found increased secretion of total GLP-1 and, to a lesser extent, of total GIP after RYGB, but the fold effect was not altered. On the contrary, arginine administration did not stimulate PYY secretion, either before or after surgery. Although GLP-1 and PYY are both secreted by L-cells, proximal gut cells predominantly secrete GLP-1 and no PYY (45). This, together with differential response to different secretory stimuli (46), could explain the different behavior of GLP-1 and PYY observed during arginine stimulation.
RYGB enhances oral glucose-induced secretion of GLP-1 and PYY, but not of GIP (47). Also, after RYGB, glucose becomes the dominant nutrient in stimulating several gut hormones compared to lipids and proteins (48). Our results are in line with this evidence and show that this occurs as early as 4 weeks after the intervention and is sustained for up to 2 years. The role of gut hormones in mediating insulin response to hyperglycemia was confirmed by studies that showed increased insulin secretion during an OGTT but not during an intravenous glucose tolerance test or a hyperglycemic clamp (49, 50). Moreover, PYY was identified as crucial in rescuing islet function after RYGB (51).
Even though the GIP AUCOGTT did not change after RYGB, GIP levels rose and fell more rapidly after the glucose load. This may partly be explained by altered gut anatomy and food transit, boosting incretin secretion and subsequently insulin release from beta-cells in the early post-prandial phase (52), thus improving post-prandial glycemic control.
Islet hormones
Fasting levels of insulin and glucagon were reduced after RYGB. The stimulation of insulin and glucagon secretion by arginine administration assessed by the fold change from the fasting levels was slightly higher after surgery, but this was mainly driven by a reduction in the fasting levels of these hormones.
Glucagon levels were slightly suppressed during the OGTT 2 years after RYGB, probably because of reduced alpha-cell insulin resistance (53) and increased circulating levels of GLP-1, which is known to inhibit glucagon secretion (54). However, we cannot exclude that altered circulating amino acid levels after surgery might have affected glucagon levels (55). A paradoxical increase of glucagon secretion during OGTT after metabolic surgery was previously reported in animal (56) and human (49, 57) studies, also by our group (8). However, these results were obtained using a non-specific glucagon assay that cross-reacted with glicentin, a receptor-orphan proglucagon byproduct released by L-cells and with an unclear biological function (58). We also found extremely elevated glicentin levels during the OGTT in five subjects after RYGB. These findings underscore the importance of using an optimized specific glucagon assay protocol in gastric bypass patients and the need to reconsider previous evidence of post-RYGB glucagon levels produced with non-specific assay protocols.
Limitations
This study has some limitations. The post hoc design of these sub-analyses compelled us to use data and samples that were already available, which might have been taken for purposes different from the ones presented here. Also, the sample size was small, thus some analyses might be underpowered, and some results need to be validated in larger cohorts. The control group did not undergo any weight loss intervention, and the patients in the RYGB group underwent a LCD 4 weeks before the intervention. This makes it difficult to distinguish the strictly RYGB-related outcomes from the LCD at 4 weeks, as the combined action of surgery and diet may explain the effects found. Also, this study included only patients with T2DM, and future studies should address patient groups without T2DM. Finally, the study design did not allow direct comparisons of the hormonal responses to arginine challenge and OGTT with one another.
Conclusion
Our results suggest that RYGB leads to profound changes in multiple hormonal responses to OGTT, with more rapid or enhanced secretion of GLP-1, PYY, GIP, insulin, and surprisingly, also GH, ACTH, and cortisol in patients with obesity and T2DM. This corresponds with altered glucose sensing in several organs, including the gut, pancreatic beta-cells, the brain, and the pituitary gland. These endocrine adaptations occur as early as 4 weeks after surgery and are maintained up to 2 years after the intervention. This might contribute to the observed adaptations of nutrient responses and potentially also to the favorable metabolic effects of RYGB. However, the underlying mechanisms and the possible role for the antidiabetic effects of RYGB are not well understood, and further investigations are warranted.
Supplementary materials
This is linked to the online version of the paper at https://doi.org/10.1530/EC-22-0172.
Declaration of interest
The authors declare that there is no conflict of interest that could be perceived as prejudicing the impartiality of the research reported.
Funding
This work was supported by research grants from the Swedish Diabetes Foundation (DIA2019-490), the Exodiab – Excellence of Diabetes Research in Sweden, the Ernfors Foundation, the Swedish Society for Medical Research, the P.O. Zetterling Foundation, the Novo Nordisk Foundation (NNF20OC0063864), the European Commission via the Marie Sklodowska Curie Innovative Training Network TREATMENT (H2020-MSCA-ITN-721236), and the Uppsala University Hospital ALF grants (Swedish Government research support).
Data availability
Data and study protocol can be made available by the authors upon request.
Author contribution statement
G F, P K, and J W E designed the study. G F, P K, M J P, and B N J collected and analyzed the data. G F, M J P, and J W E interpreted the data. G F wrote the manuscript, and M J P, S H, M S, and J W E critically revised the manuscript.
Acknowledgements
The authors want to thank all the participants in the study and the whole staff at Clinical Diabetology and Metabolism, Department of Medical Sciences, Uppsala University, and Uppsala University Hospital for making this research possible.
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