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Maintenance of plasma glucose variability after an acute session of aerobic exercise despite changes in insulin and glucagon-like peptide-1 levels in type 2 diabetes

ABSTRACT

Objective:

The present study aimed to evaluate glucose variability and hormonal responses during and after an aerobic exercise session performed after breakfast in type 2 diabetes patients treated with metformin.

Materials and methods:

In this quasi-experimental study individuals underwent clinical and laboratory evaluations and maximal exercise test. After two weeks an aerobic exercise session (30 minutes at 60%-70% of the peak heart rate) was performed. At rest, during and after the exercise session, glucose variability (mean amplitude glucose excursions, glucose coefficient of variation, and glucose standard deviation) and levels of plasma glucose, insulin, glucagon, and glucagon-like-peptide-1 were evaluated.

Results:

Thirteen patients were enrolled in the study. Plasma glucose increased at 15 minutes during the exercise session (244.6 ± 61.9 mg/dL), and decreased at 60 min after exercise (195.6 ± 50.0 mg/dL). Glucose variability did not show any difference before and after exercise. Insulin levels at 15 min [27.1 µU/mL (14.2-42.1)] and 30 min [26.3 µU/mL (14.6-37.4)] during the exercise were higher than those at fasting [11.2 µU/mL (6.7-14.9)] but decreased 60 minutes after exercise (90 minutes) [16.6 µU/mL (8.7-31.7)]. Glucagon levels did not show any difference. GLP-1 levels increased at 30 min [7.9 pmol/L (7.1-9.2)] during exercise and decreased 60 min after exercise (90 minutes) [7.7 pmol/L (6.8-8.5)].

Conclusion:

Subjects with type 2 diabetes presented expected changes in insulin, glucagon and GLP-1 levels after breakfast and a single aerobic exercise session, not accompanied by glycemic variability changes.

Keywords
Blood glucose; diabetes mellitus; glycemic variability; hormones

INTRODUCTION

Type 2 diabetes mellitus is characterized by relative insulin deficiency and insulin resistance. Glucose control is primarily assessed based on the level of glycated hemoglobin (HbA1c), and one-point reduction in the HbA1c level may reduce the risk of cardiovascular disease outcomes by 10% over a period of several years (11 Reaven PD, Emanuele NV, Wiitala WL, Bahn GD, Reda DJ, McCarren M, et al. Intensive Glucose Control in Patients with Type 2 Diabetes – 15-Year Follow-up. N Engl J Med. 2019;380(23):2215-24.). Assessing short-term glucose variability by continuous glucose monitoring (CGM) may add to the evaluation of glucose control because glucose fluctuations, which may lead to hypoglycemia or postprandial hyperglycemia, can be noted on-time and managed properly (22 Azhar A, Gillani SW, Mohiuddin G, Majeed RA. A systematic review on clinical implication of continuous glucose monitoring in diabetes management. J Pharm Bioallied Sci. 2020;12(2):102-11.). Wide variability in glucose levels leads to the production of reactive oxygen species and causes endothelial dysfunction, possibly leading to an increased risk of cardiovascular disease in diabetes (33 Ohara M, Kohata Y, Nagaike H, Koshibu M, Gima H, Hiromura M, et al. Association of glucose and blood pressure variability on oxidative stress in patients with type 2 diabetes mellitus and hypertension: a cross-sectional study. Diabetol Metab Syndr. 2019;11:29.).

Individuals with type 2 diabetes should ideally perform both aerobic and resistance exercise training to attain optimal glycemic control. Performing structured exercise for at least 150 min/week can cause a decline of 0.67% in the HbA1c level (44 Umpierre D, Ribeiro PA, Kramer CK, Leitão CB, Zucatti AT, Azevedo MJ, et al. Physical activity advice only or structured exercise training and association with HbA1c levels in type 2 diabetes: a systematic review and meta-analysis. JAMA. 2011;305(17):1790-9.). Moreover, exercise performed in the morning and after breakfast can lead to a better glucose-lowering effect throughout the day and a lower risk of nocturnal hypoglycemia (55 Haxhi J, Leto G, di Palumbo AS, Sbriccoli P, Guidetti L, Fantini C, et al. Exercise at lunchtime: effect on glycemic control and oxidative stress in middle-aged men with type 2 diabetes. Eur J Appl Physiol. 2016;116(3):573-82.). Glucose variability after acute aerobic and eccentric exercise was reported to be decreased in healthy subjects (66 Figueira FR, Umpierre D, Bock PM, Waclawovsky G, Guerra AP, Donelli A, et al. Effect of exercise on glucose variability in healthy subjects: randomized crossover trial. Biol Sport. 2019;36(2):141-8.), as well as in patients with diabetes after acute aerobic and combined aerobic and resistance exercise (77 Figueira FR, Umpierre D, Casali KR, Tetelbom PS, Henn NT, Ribeiro JP, et al. Aerobic and combined exercise sessions reduce glucose variability in type 2 diabetes: crossover randomized trial. PLoS One. 2013;8(3):e57733.). However, a three-month treatment with vildagliptin or glibenclamide added to metformin did not lead to any change in glucose variability after acute aerobic exercise in individuals with type 2 diabetes (88 Fofonka A, Bock PM, Casali KR, da Silveira AD, da Rosa FM, Berlanda G, et al. Impact of treatment with glibenclamide or vildagliptin on glucose variability after aerobic exercise in type 2 diabetes: A randomized controlled trial. Diabetes Res Clin Pract. 2018;143:184-93.). A comparison of the effects of moderate exercise performed in either the fasting or postprandial state on glucose variability showed that performing moderate exercise in the postprandial state after breakfast tended to decrease glucose excursions compared to the exercise performed in the fasting state in a small sample of pre-diabetes individuals (99 Nygaard H, Rønnestad BR, Hammarström D, Holmboe-Ottesen G, Høstmark AT. Effects of Exercise in the Fasted and Postprandial State on Interstitial Glucose in Hyperglycemic Individuals. J Sports Sci Med. 2017;16(2):254-63.). It is worth noting that none of the aforementioned studies evaluated at once glucose variability and hormonal changes after acute aerobic exercise, in postprandial state, in individuals with type 2 diabetes treated only with metformin.

Along with changes in glucose variability, exercise can elicit changes in multiple hormones, including insulin, glucagon, and glucagon-like peptide-1 (GLP-1) (1010 Sellami M, Bragazzi NL, Slimani M, Hayes L, Jabbour G, De Giorgio A, et al. The Effect of Exercise on Glucoregulatory Hormones: A Countermeasure to Human Aging: Insights from a Comprehensive Review of the Literature. Int J Environ Res Public Health. 2019;16(10).). In healthy adults, acute aerobic exercise elicits lower insulin and higher glucagon levels, with maintenance of plasma in the fasted state; in the postprandial state, however, decreased glucose and insulin concentrations may be seen (1111 Frampton J, Cobbold B, Nozdrin M, Oo HTH, Wilson H, Murphy KG, et al. The Effect of a Single Bout of Continuous Aerobic Exercise on Glucose, Insulin and Glucagon Concentrations Compared to Resting Conditions in Healthy Adults: A Systematic Review, Meta-Analysis and Meta-Regression. Sports Med. 2021;51(9):1949-66.). The incretin GLP-1 plays a crucial role in maintaining metabolic homeostasis, since it induces postprandial insulin release and suppresses glucagon secretion; although there are no systematic differences in the nutrient-induced secretion of GLP-1 between healthy and type 2 diabetic subjects, there are characteristic abnormalities in the insulinotropic and glucagonostatic activities among them (1212 Nauck MA, Meier JJ. Incretin hormones: Their role in health and disease. Diabetes Obes Metab. 2018;20 Suppl 1:5-21.). The hormonal response to exercise could be affected in diabetes: postprandial suppression of glucagon, increase of GLP-1, and no change in insulin levels was observed in diabetes patients one day after performing two long bouts of exercise (1313 Eshghi SR, Fletcher K, Myette-Côté É, Durrer C, Gabr RQ, Little JP, et al. Glycemic and Metabolic Effects of Two Long Bouts of Moderate-Intensity Exercise in Men with Normal Glucose Tolerance or Type 2 Diabetes. Front Endocrinol (Lausanne). 2017;8:154.). Although other studies have shown no change in insulin levels after acute sessions of aerobic exercise (1414 Hansen D, Verboven K, van Dijk JW, Zorenc A, Minten L, Smeets K, et al. Adipose tissue lipolytic inhibition enhances the glucoregulatory properties of exercise in type 2 diabetes patients. Eur J Sport Sci. 2018;18(9):1245-54.,1515 Gaffney CJ, Mansell P, Stephens FB, Macdonald IA, Tsintzas K. Exercise Metabolism in Nonobese Patients with Type 2 Diabetes Following the Acute Restoration of Normoglycaemia. J Diabetes Res. 2017;2017:8248725.), other authors reported a reduction in these levels (1616 Hansen M, Palsøe MK, Helge JW, Dela F. The effect of metformin on glucose homeostasis during moderate exercise. Diabetes Care. 2015;38(2):293-301.), while glucagon levels were found to have increased after aerobic exercise (1717 Hansen JS, Pedersen BK, Xu G, Lehmann R, Weigert C, Plomgaard P. Exercise-Induced Secretion of FGF21 and Follistatin Are Blocked by Pancreatic Clamp and Impaired in Type 2 Diabetes. J Clin Endocrinol Metab. 2016;101(7):2816-25.), and GLP-1 levels decreased during post-dinner resistance exercise (1818 Heden TD, Winn NC, Mari A, Booth FW, Rector RS, Thyfault JP, et al. Postdinner resistance exercise improves postprandial risk factors more effectively than predinner resistance exercise in patients with type 2 diabetes. J Appl Physiol (1985). 2015;118(5):624-34.). Thus, the present study aimed to evaluate glucose variability and hormonal responses during and after an aerobic exercise session performed after breakfast in type 2 diabetes subjects, treated with metformin.

MATERIALS AND METHODS

Research design and participants

This was a quasi-experimental study (nonrandomized, pre-post intervention). Patients were recruited from the endocrinology outpatient clinic at a tertiary teaching hospital and through a website. Inclusion criteria were age older than 18 years, presence of type 2 diabetes mellitus, use of metformin, recent HbA1c level between 7.5% and 10%, and no involvement in regular physical activity (>1x/week). Exclusion criteria were current smoking, body mass index (BMI) > 40 kg/m2, proliferative diabetic retinopathy, ischemic heart disease, peripheral vascular disease, cognitive decline or dementia, recent neurological event, severe depression, current diagnosed cancer, lactose intolerance, hepatic enzyme levels threefold higher than the reference values, glomerular filtration rate lower than 60 mL/min, blood pressure (BP) > 180/100 mmHg at rest, use of insulin or other agents except metformin, and untreated thyroid disease.

This study was conducted in accordance with the Declaration of Helsinki and was approved by the Scientific Committee and Research Ethical Commission of Hospital de Clínicas de Porto Alegre (Brazil) (Certificate of Presentation for Ethical Appreciation #10662912300005327).

Data collection

Eligible individuals underwent clinical and laboratory evaluations, including clinical characteristics, blood pressure measurement, and fasting blood sample collection for HbA1c. After this evaluation, patients performed a symptom-limited maximal exercise test on a cycle ergometer to determine peak oxygen consumption (VO2peak) and peak heart rate. The test was carried out in increments of 15 to 20 Watts per minute, maintaining a frequency of 60 rpm or more until exhaustion was reached. Oxygen consumption (VO2) and carbon dioxide production (VCO2) were determined by a breath-by-breath computerized gas exchange system and analyzed using 20-second averaging system (Oxycon Delta; VIASYS Healthcare GmbH, Jaeger, Germany). Peak VO2and peak heart rate were defined as the greatest values reached in the last 30 seconds of exercise testing (1919 Wasserman K, Whipp BJ, Koyl SN, Beaver WL. Anaerobic threshold and respiratory gas exchange during exercise. J Appl Physiol. 1973;35(2):236-43.).

Two weeks after clinical and laboratory evaluations and maximal exercise test, an aerobic exercise session starting with a 5-min warm-up followed by 30 minutes at 60%-70% of the peak heart rate, (as determined in the maximal exercise test) was performed, with 5 minutes of cooling after exercise. Glucose variability (mean amplitude glucose excursions, glucose coefficient of variation, and glucose standard deviation), and metabolic and hormone variables (glucose, insulin, glucagon, glucagon-like-peptide-1) were measured before, during, and after the exercise session.

The study protocol was conducted during three days, according to the following procedure:

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    Day 1: Subjects were admitted to the laboratory at approximately 08:00 AM, 24 hours before the exercise session, when the glucose sensor (i-Pro2 digital recorder; Medtronic Mini-Med Inc., Northridge, CA, USA) was inserted subcutaneously.

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    Day 2: Subjects were admitted to the laboratory at approximately 08:00 AM. The submaximal exercise session was performed after intake of a standard breakfast (500 kcal; 60% complex carbohydrate, 30% fat, and 10% protein). Blood samples were collected 60 min before (fasting), immediately before (after breakfast, 0 min), 15 and 30 minutes during the exercise session, and 60 minutes after exercise. Blood samples were obtained to measure the levels of plasma glucose, insulin, glucagon, and GLP-1. After exercise, subjects were allowed to eat ad-libitum.

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    Day 3: Subjects were admitted to the laboratory at approximately 08:00 AM, and the glucose sensor was removed.

Measurements

The continuous glucose monitoring system (CGMS), which measured glucose levels every 5 min, was used to obtain a series of glucose values. Glucose variability was evaluated based on the following indices, using conventional analysis: mean amplitude glucose excursions (MAGE), glucose coefficient of variation (CV%), and glucose standard deviation (SD). These indices, except MAGE, were calculated in a 6-hour timeframe of glucose values to obtain the measures according to the specific period of the day. The MAGE index was calculated for the whole signal, and its calculation is based on the differences between peaks and nadir points, considering those points that are higher than 1SD (2020 Hill NR, Oliver NS, Choudhary P, Levy JC, Hindmarsh P, Matthews DR. Normal reference range for mean tissue glucose and glycemic variability derived from continuous glucose monitoring for subjects without diabetes in different ethnic groups. Diabetes Technol Ther. 2011;13(9):921-8.).

Venous blood samples were drawn from the antecubital vein in gel-clot Vacutainer™ tubes for measuring HbA1c, plasma glucose, and insulin levels and ethylene diamine tetra-acetic acid (EDTA)-coated tubes for measuring glucagon and GLP-1 levels. Subsequently, 2.0 mL of blood was transferred into a tube containing a dipeptidyl peptidase (DPP-4) inhibitor to prevent the degradation of active GLP-1. The blood collected in the EDTA tubes was centrifuged for 10 min at 1,000 g to separate plasma, and then the plasma was stored at -80 °C for further analysis.

HbA1c was analyzed by ion-exchange high-performance liquid chromatography (Merck-Hitachi L-9100 HbA1c analyzer; Merck, Darmstadt, Germany). Plasma glucose levels were analyzed according to the glucose oxidase method (Sigma-Aldrich, St Louis, MO, USA), insulin levels were analyzed according to chemiluminescent enzyme immunoassay (Immulite 1000 Analyzer; Siemens Healthcare Diagnostics, Deerfield, IL, USA), glucagon levels were analyzed according to colorimetric enzyme immunoassay (R&D Systems, Minneapolis, MN, USA), and GLP-1 levels were analyzed according to fluorescence enzyme immunoassay (EMD Millipore, Billerica, MA, USA). The correction of plasma glucose and hormone levels for exercise-induced changes in plasma volume was not made because the aerobic exercise session lasted 30 minutes at 60%-70% of the peak heart rate, when no plasma volume changes were expected (2121 Bloomer RJ, Farney TM. Acute plasma volume change with high-intensity sprint exercise. J Strength Cond Res. 2013;27(10):2874-8.).

Statistical analyses

Data were analyzed using SPSS software (Statistical Package for the Social Sciences; version 18.0 for Windows, SPSS Inc., Chicago, USA). Values are expressed as mean ± SE for parametric variables and median (P25-P75) for non-parametric variables. Categorical variables are expressed as number (%). Comparisons were tested using paired-samples t-test, Wilcoxon signed-rank test, or Friedman’s test (non-parametric repeated measures ANOVA), followed by Dunn’s post-hoc test (p < 0.05).

RESULTS

Thirteen individuals with diabetes were included in the study. The Figure 1 shows the flowchart of the participant selection process through each stage.

Figure 1
Flow diagram.

Table 1 shows patients’ characteristics. They were 56.2 ± 1.5 years old, predominantly men; 83% were overweight/obese and had diabetes for 3.5 years (1.8-12 years). Most patients had moderately reduced (25.7 ± 1.9) VO2 peak values.

Tabla 1
Characteristics of the studied patients (n = 13)

Figure 2 (panel a) shows plasma glucose levels 60 min before exercise (fasting, 185.2± 35.3mg/dL), immediately before exercise (after breakfast – 0 min, 256.4± 57.8 mg/dL), 15 (244.6± 61.9 mg/dL) and 30 minutes during the exercise session (220.5± 58.2 mg/dL), and 90 minutes after the beginning of the exercise session (60 minutes after exercise, 195.6± 50.0 mg/dL). Plasma glucose levels increased after breakfast and at 15 minutes during the exercise session, and decreased at 30 min and 60 min after exercise (p < 0.05). Panel b shows individual data of plasma glucose. Panel c shows glucose values obtained from the CGMS 60 minutes before exercise (fasting) and during the first 12 hours after exercise. Considering the incremental area under the curve (AUC – panel c, insets), no differences were found.

Figure 2
Plasma glucose at baseline (fasting, -60’), before (0’), during (15’), and after exercise (30’ and 90’ after the beginning and 60’ of recovery) (panel a). Individual data of plasma glucose at baseline (fasting, -60’), before (0’), during (15’), and after exercise (30’ and 90’ after the beginning and 60’ of recovery) (panel b). Glucose (continuous glucose monitoring, sampled every 5 minutes) before and after exercise (panel c). Incremental area under the curves (AUC) are shown at the inset (panel c). Data are presented as mean values and standard error. For panel A: *p < 0.05 vs. -60’; # p < 0.05 vs. 0’; † p < 0.05 vs. 15’. n = 11.

Glucose variability, evaluated in a time frame of 6 hours by CV and SD, did not show any difference before and after the exercise (Table 2). Before the exercise, MAGE (in a time frame of 24 hours) was 61.6 (40.8-103.3) mg/dL, and after exercise, it was 65.8 (60.2-100.2) mg/dL (p = 0.646).

Tabla 2
Glucose variability evaluated before and after the exercise session (n = 12)

Plasma insulin, glucagon, and GLP-1 levels were analyzed 60 minutes before the exercise (fasting), immediately before the exercise (after breakfast, 0 minute), 15 and 30 minutes during the exercise session, and 90 minutes after the beginning of the exercise session (60 minutes after exercise) (Table 3). Insulin levels after breakfast [24.2 µU/mL (16.6-34.6)] and at 15 minutes [27.1 µU/mL (14.2-42.1)]and 30 minutes (exercise) [26.3 µU/mL (14.6-37.4)] were higher than those at fasting [11.2 µU/mL (6.7-14.9)] but decreased 60 minutes after exercise (90 minutes) [16.6 µU/mL (8.7-31.7)]. The intra-assay coefficient of variation for insulinemia was 2.7% and the inter-assay (n = 3) was 3.4%. Glucagon levels did not show any difference in any of the studied moments. The intra-assay coefficient of variation for glucagon levels was 4.3% and the inter-assay was 8.3%. GLP-1 was increased after breakfast [8.3 pmol/L (6.8-9.1)] and at 30 minutes (exercise) [7.9 pmol/L (7.1-9.2)] and decreased 60 minutes after exercise (90 min) [7.7 pmol/L (6.8-8.5)]. The intra-assay coefficient of variation for GLP-1 levels was 3.6% and the inter-assay was 7.2%.

Tabla 3
Hormonal levels before and after the exercise session (n = 13)

DISCUSSION

In this study, we showed that plasma glucose levels increased after breakfast and decreased in the recovery period after acute aerobic exercise session until 90 min, in type 2 diabetes subjects. Interestingly, glucose variability did not show any difference either before or after the breakfast and the acute bout of exercise. These changes occurred along with the rise of insulin and GLP-1 levels and no modification in glucagon levels.

Despite its clinical significance, there is no consensus on the optimum method for characterizing glucose variability. Over the years, various metrics quantifying glucose variability have been introduced, and it is clear that no index is better than the other, but the indices are probably complementary (2222 Zhou Z, Sun B, Huang S, Zhu C, Bian M. Glycemic variability: adverse clinical outcomes and how to improve it? Cardiovasc Diabetol. 2020;19(1):102.). Glucose variability analyzed by CV% was approximately 10%, before and after the exercise, in accordance with a previous study conducted by our group (88 Fofonka A, Bock PM, Casali KR, da Silveira AD, da Rosa FM, Berlanda G, et al. Impact of treatment with glibenclamide or vildagliptin on glucose variability after aerobic exercise in type 2 diabetes: A randomized controlled trial. Diabetes Res Clin Pract. 2018;143:184-93.). Usually, a cutoff value of 36% is considered as labile glucose control in subjects with either type 1 or type 2 diabetes (2323 Monnier L, Colette C, Wojtusciszyn A, Dejager S, Renard E, Molinari N, et al. Toward Defining the Threshold Between Low and High Glucose Variability in Diabetes. Diabetes Care. 2017;40(7):832-8.). This finding is in accordance with that of a previous study; however, with a very different intervention – just interrupting prolonged sitting (2424 Dempsey PC, Blankenship JM, Larsen RN, Sacre JW, Sethi P, Straznicky NE, et al. Interrupting prolonged sitting in type 2 diabetes: nocturnal persistence of improved glycaemic control. Diabetologia. 2017;60(3):499-507.) – which is not comparable to the effort, the subjects were submitted in the present study. Another study showed lowered CV% after moderate-intensive exercise, but the evaluation was performed in a longer time frame (12 h), as compared to the exercise we proposed in this study (2525 Li Z, Hu Y, Yan R, Li H, Zhang D, Li F, et al. Twenty Minute Moderate-Intensity Post-Dinner Exercise Reduces the Postprandial Glucose Response in Chinese Patients with Type 2 Diabetes. Med Sci Monit. 2018;24:7170-7.).

The other index we used to evaluate glucose variability, glucose SD, was also unchanged by the acute bout of aerobic exercise, which is different from the findings reported in the study of Li and cols. with a 12-h observation period, as reported for CV% (2525 Li Z, Hu Y, Yan R, Li H, Zhang D, Li F, et al. Twenty Minute Moderate-Intensity Post-Dinner Exercise Reduces the Postprandial Glucose Response in Chinese Patients with Type 2 Diabetes. Med Sci Monit. 2018;24:7170-7.), but similar to that observed by Dempsey and cols. Although differences in the intervention are clear, these authors discuss that the effects they observed in some glucose variability indices were not apparent following statistical adjustment for mean glucose levels. These findings, together with the lack of CV% difference (which directly normalizes for mean glucose), point to a similar relative magnitude of glucose fluctuations around lower mean values for the sedentary and non-sedentary conditions, rather than less variability per se (2424 Dempsey PC, Blankenship JM, Larsen RN, Sacre JW, Sethi P, Straznicky NE, et al. Interrupting prolonged sitting in type 2 diabetes: nocturnal persistence of improved glycaemic control. Diabetologia. 2017;60(3):499-507.). However, in agreement with our results, a single bout of moderate-intensity cycling exercise performed in a large group of 60 patients with type 2 diabetes under strict dietary standardization showed no significant changes in SD, in both non-insulin- and insulin-treated patients (2626 Van Dijk JW, Manders RJ, Canfora EE, Mechelen WV, Hartgens F, Stehouwer CD, et al. Exercise and 24-h glycemic control: equal effects for all type 2 diabetes patients? Med Sci Sports Exerc. 2013;45(4):628-35.). Moreover, systematic reviews published on this topic reveal a high clinical and statistical heterogeneity, also preventing the reader from being fully confident in their conclusions (2727 Bennetsen SL, Feineis CS, Legaard GE, Lyngbæk MPP, Karstoft K, Ried-Larsen M. The Impact of Physical Activity on Glycemic Variability Assessed by Continuous Glucose Monitoring in Patients With Type 2 Diabetes Mellitus: A Systematic Review. Front Endocrinol (Lausanne). 2020;11:486.,2828 Munan M, Oliveira CLP, Marcotte-Chénard A, Rees JL, Prado CM, Riesco E, et al. Acute and Chronic Effects of Exercise on Continuous Glucose Monitoring Outcomes in Type 2 Diabetes: A Meta-Analysis. Front Endocrinol (Lausanne). 2020;11:495.).

The third index used to evaluate glucose variability was MAGE, and we found no change after the acute bout of aerobic exercise performed after breakfast. In accordance, Terada and cols. observed that a bout of high-intensity interval exercise or energy-matched moderate-intensity continuous exercise performed in the fasting state reduces MAGE. The same result was not observed in the post-breakfast state, suggesting that exogenous nutrient availability during exercise hampers favorable changes in glucose levels that persist hours after exercise (2929 Terada T, Wilson BJ, Myette-Côté E, Kuzik N, Bell GJ, McCargar LJ, et al. Targeting specific interstitial glycemic parameters with high-intensity interval exercise and fasted-state exercise in type 2 diabetes. Metabolism. 2016;65(5):599-608.). Furthermore, MAGE was neither reduced after 30 min of continuous exercise or high-intensity interval training in men with type 2 diabetes under standardized dietary intake (3030 Metcalfe RS, Fitzpatrick B, Fitzpatrick S, McDermott G, Brick N, McClean C, et al. Extremely short duration interval exercise improves 24-h glycaemia in men with type 2 diabetes. Eur J Appl Physiol. 2018;118(12):2551-62.), nor after one session of 20-minute moderate-intensity treadmill walking after dinner (2525 Li Z, Hu Y, Yan R, Li H, Zhang D, Li F, et al. Twenty Minute Moderate-Intensity Post-Dinner Exercise Reduces the Postprandial Glucose Response in Chinese Patients with Type 2 Diabetes. Med Sci Monit. 2018;24:7170-7.).

The effect of the acute aerobic exercise session performed in the postprandial state on glucose levels observed here is the classical well-known effect of glucose reduction, which is related to increased plasma membrane content of GLUT4 (3131 Ferrari F, Bock PM, Motta MT, Helal L. Biochemical and Molecular Mechanisms of Glucose Uptake Stimulated by Physical Exercise in Insulin Resistance State: Role of Inflammation. Arq Bras Cardiol. 2019;113(6):1139-48.). Overall, lower glucose levels were described at the end of the exercise performed in the fasting state or after lunch (1313 Eshghi SR, Fletcher K, Myette-Côté É, Durrer C, Gabr RQ, Little JP, et al. Glycemic and Metabolic Effects of Two Long Bouts of Moderate-Intensity Exercise in Men with Normal Glucose Tolerance or Type 2 Diabetes. Front Endocrinol (Lausanne). 2017;8:154.), and a single bout of exercise reduced the prevalence of hyperglycemia over the subsequent 24-h period (2626 Van Dijk JW, Manders RJ, Canfora EE, Mechelen WV, Hartgens F, Stehouwer CD, et al. Exercise and 24-h glycemic control: equal effects for all type 2 diabetes patients? Med Sci Sports Exerc. 2013;45(4):628-35.). A systematic review showed that the association between the timing of exercise and the timing of meals plays an important role in improving glucose control in individuals with type 2 diabetes, with more important benefits whether the exercise was conducted between 30 and 60 min after the meal consumption as compared to a no exercise control condition (3232 Teo SYM, Kanaley JA, Guelfi KJ, Cook SB, Hebert JJ, Forrest MRL, et al. Exercise Timing in Type 2 Diabetes Mellitus: A Systematic Review. Med Sci Sports Exerc. 2018;50(12):2387-97.).

Considering the hormonal response, insulin levels were increased at 15 minutes and 30 minutes during the exercise but decreased 60 minutes after exercise. Unfortunately, the lack of a resting control trial does not allow us to isolate the effects of breakfast from those of physical exercise. In accordance with observed post-exercise response, a previous study that evaluated aerobic exercise performed at 80% and 120% of the lactate threshold showed decreased insulin levels at the 15th and 45th minute of post-exercise recovery compared to control session (3333 Asano RY, Browne RAV, Sales MM, Arsa G, Moraes JFVN, Coelho-Júnior HJ, et al. Bradykinin, insulin, and glycemia responses to exercise performed above and below lactate threshold in individuals with type 2 diabetes. Braz J Med Biol Res. 2017;50(11):e6400.). In our work, six participants had more than 10 years of disease, and despite they HbA1c is similarly high, the metformin doses and the fasting insulin present wide variation, suggesting that beta-cell status is probably diverse among them, which may have influenced exercise response. Beta-cell function is an important indicator of disease status, and progression of T2D is related to continuous loss of beta-cell function, with higher HbA1c levels and longer duration of T2D being associated with a declining beta-cell function. Although pancreatic functional reserve decreased with the duration of diabetes, beta-cell loss appears to be irreversible in individuals with T2D duration of longer than 10 years. Moreover, the risk of beta-cell stress is about 3.8 times higher for each 1% increase in HbA1c (3434 Wysham C, Shubrook J. Beta-cell failure in type 2 diabetes: mechanisms, markers, and clinical implications. Postgrad Med. 2020;132(8):676-86.).

We found that GLP-1 levels increased at 30 minutes during the exercise. In accordance, one study found higher GLP-1 levels at 1-h post-exercise but not in the control session in obese sedentary males (3535 Matos VAF, Souza DC, Santos VOA, Medeiros Í, Browne RAV, Nascimento PRP, et al. Acute Effects of High-Intensity Interval and Moderate-Intensity Continuous Exercise on GLP-1, Appetite and Energy Intake in Obese Men: A Crossover Trial. Nutrients. 2018;10(7).), and endurance-trained males showed increased GLP-1 levels immediately after the exercise session (3636 Holliday A, Blannin A. Appetite, food intake and gut hormone responses to intense aerobic exercise of different duration. J Endocrinol. 2017;235(3):193-205.). However, in type 2 diabetes, no increase in GLP-1 levels was observed after 40 minutes of combined aerobic plus resistance exercise (3737 Eshghi SR, Bell GJ, Boulé NG. Effects of aerobic exercise with or without metformin on plasma incretins in type 2 diabetes. Can J Diabetes. 2013;37(6):375-80.). The absence of glucagon changes was unexpected since increased glucagon levels were observed after exercise in previous studies (1616 Hansen M, Palsøe MK, Helge JW, Dela F. The effect of metformin on glucose homeostasis during moderate exercise. Diabetes Care. 2015;38(2):293-301.,1717 Hansen JS, Pedersen BK, Xu G, Lehmann R, Weigert C, Plomgaard P. Exercise-Induced Secretion of FGF21 and Follistatin Are Blocked by Pancreatic Clamp and Impaired in Type 2 Diabetes. J Clin Endocrinol Metab. 2016;101(7):2816-25.). Differences in experimental design are a possible explanation of the disagreement between the results of the present study, since in our study, patients performed the exercise session immediately after breakfast, and the previous results were obtained in the fasting state. Increase in glucagon levels after a single bout of exercise was previously reported in diabetic subjects with chronic hyperglycemia, suggesting that the hyperglycemic state influences the hormonal responses to exercise (3838 Knudsen SH, Karstoft K, Winding K, Holst JJ, Pedersen BK, Solomon TP. Effects of acute exercise on pancreatic endocrine function in subjects with type 2 diabetes. Diabetes Obes Metab. 2015;17(2):207-10.).

One limitation of the present study is its small sample size, which impedes deepening the analyses. Second, the subjects with diabetes did not have the best metabolic control, although it was reasonable, so that any extrapolation of our findings should be circumspect. Moreover, beta-cell status is probably diverse, which may have influenced exercise response. In addition, our work is a quasi-experimental study and cannot provide the same information as that from a randomized clinical trial, since we did not test a resting control to isolate the effects of breakfast from those of physical exercise.

In conclusion, subjects with type 2 diabetes presented expected changes in insulin, glucagon and GLP-1 levels after breakfast and a single aerobic exercise session, not accompanied by glycemic variability changes.

  • Funding statement: This study was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (Capes) – Finance Code 001. This research was also financially supported by Novartis®. Novartis® provided glucagon and GLP-1 assay kits but did not play any role in the study design, methodology, data management or analysis, or the decision to publish.

Acknowledgements:

the authors would like to express their profound gratitude and appreciation to Dr. Aline Fofonka (in memoriam), who expired on June 18, 2018. She had shown complete involvement in the study. The authors also acknowledge Anderson Donelli da Silveira, who conducted the symptom-limited maximal exercise tests.

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Publication Dates

  • Publication in this collection
    03 June 2022
  • Date of issue
    June 2022

History

  • Received
    01 Sept 2021
  • Accepted
    07 Mar 2022
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