1. Introduction
Metabolic syndrome (MS) is a global health problem characterized by a cluster of metabolic abnormalities that include abdominal obesity, systemic hypertension, insulin resistance, and atherogenic dyslipidemia, conferring a higher risk of developing cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM) [
1,
2]. Studies published in recent years estimate that from 20 to 30% of the world’s adult population meets the criteria for MS [
3]. According to the Center of Disease Control and Prevention (CDC), the prevalence of MS has increased drastically in the last four decades [
4,
5].
The pathogenesis of MS involves both genetic and acquired factors [
6,
7]. The rise in the prevalence of MS is largely attributed to the combination of excessive caloric intake and the lack physical activity [
8,
9]. It has been demonstrated that an increased consumption of carbohydrates is closely associated with the growing prevalence of MS [
5]. Access to diets with high fat and carbohydrate contents have contributed to the onset and progression of MS [
10,
11].
Dietary modifications, particularly carbohydrate restriction has proven to be a more effective therapeutic tool in improving MS than diets that restrict the amount of fat [
12,
13]. The replacement of carbohydrates with saturated or unsaturated fats (monounsaturated and polyunsaturated fats) and protein has been evidenced to have important effects on glycemic control, weight loss, and dyslipidemia [
14].
Carbohydrate-free diets have been evaluated in models with healthy genetically modified animals susceptible to the development of T2DM. Finding an increase in energy expenditures and gluconeogenesis [
15], a decrease in body weight and energy intake [
13,
16], and avoiding the destruction of pancreatic β-cells [
17,
18]. However, these models lack the complexity of the metabolic abnormalities that occur in MS, showing limited and isolated results. Additionally, the studies evaluating the effects of carbohydrate-free diets have generally been of short duration, and the long-term effects are unclear.
Therefore, the objective of this investigation is to evaluate the effects of a chronic exposure to a carbohydrate-free diet on morphometric and biochemical parameters in a rat model of diet-induced MS, evaluating the characteristic alterations of MS.
2. Materials and Methods
2.1. Animals and Diets
Fifty-three, male Wistar rats weaned at 21 days of age with an average body weight of 61.6 grams were used. The animals, provided by the biotery “Claude Bernard” of the Autonomous University of Zacatecas, were housed in polycarbonate cages with 12-hour day and night lighting cycles, a controlled temperature of 22°C, and 50% humidity.
The animals were randomly divided into two study groups according to the type of diet supplied, the standard diet (SD) group (n=15), fed a balanced commercial diet for rodents (Teklad Lab Diet, Harlan Sprague Dawley Inc., IN, USA; 13% kcal from fat, 34% kcal from protein and 53% kcal from carbohydrates) and purified water ad libitum, and the MS group (n=38), fed a formulated diet (16% kcal from fat, 33% kcal from protein and 51% kcal from carbohydrates) and 25% glucose solution ad libitum for 20 weeks. After the period of exposure to the diets, animals from both groups were randomly selected, the MS state was confirmed by measurement of fasting blood glucose, insulin, lipids profile and C-reactive protein, following the specifications marked later.
MS group’s rats were then divided into two groups, the MS group (n=11) continued feeding with the formulated diet and 25% glucose solution ad libitum for 20 weeks and the MS, subsequent carbohydrate-free diet (MS+CFD) group (n=12) fed a formulated essentially carbohydrate-free diet (52.89% kcal from fat, 47.004% kcal from protein, and 0.105% kcal from carbohydrates) and purified water ad libitum for 20 weeks. The SD group (n=10) continued feeding with the commercial diet and purified water ad libitum for 20 weeks.
The formulated diet consisted of the following ingredients (g/kg): fish flour, 250; bentonite, 50; lard, 3.2; rice, 153.3; oatmeal, 340; corn, 100; coconut oil, 3.5; wheat, 100. The essentially carbohydrate-free diet consisted of (g/kg): fish flour, 450; casein, 200; rice husk, 100; bentonite, 50; lard, 200.
During the experimental period, daily measurements of food and purified water or glucose solution intake were made, caloric intake was calculated using the Atwater factor. Monthly measurements of body weight were also performed.
2.2. Samples Collection
Animals’ blood fasted for 12 hours was obtained by cardiac puncture in the ventricular cavity after previous anesthesia. Blood was centrifugated, and serum samples were stored at -20°C until analysis. The liver, kidney, pancreas, and skeletal muscle were dissected and rinsed in phosphate buffer solution pH 7.
2.3. Determination of Biochemical Parameters
Serum concentrations of glucose, total cholesterol (TC), triglycerides (TRIG), high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol (LDL-c), alanine aminotransferase (ALT), aspartate aminotransferase (AST), urea and creatinine were determined by colorimetric enzymatic assays (Spinreact, Girona, Spain). Very low-density lipoprotein cholesterol (VLDL-c) concentration was calculated according to the equation 1:
C-reactive protein (CRP) concentration was determined by a semiquantitative plate agglutination assay (Spinreact, Girona, Spain).
Insulin determination was performed using an ELISA kit, specifically for rats (Spibio, Bertin Pharma, Montigny-le-Bretonneux, France).
β-hydroxybutyrate quantification was determined using reactive strips and a FreeStyle Optium Neo electronic meter (Abbott, Mexico City, Mexico).
2.4. Determination of Malondialdehyde
Damage to lipid membranes in blood serum, liver, kidney, and pancreas was assessed by the formation of malondialdehyde (MDA), using the thiobarbituric acid (TBA) reactive method [
19]. Tissues were homogenized at 10% KCl (1.15%) and blood serum in H
2SO
4 (12 N); the addition of TBA (0.3%) created colorful compounds that were measured photometrically at 534 nm wavelength in a 6715 UV/Vis Jenway spectrophotometer (Cole-Parmer, IL, USA). The MDA level in the samples (expressed as nM/mL in serum and nM/g in tissues) was determined using a calibration curve with 1,1,3,3-tetraethoxypropane (Sigma Chemical, St. Louis, MO, USA).
2.5. Determination of Glycogen
The anthrone reagent method determined glycogen levels in the liver and skeletal muscle [
20]. An hydrolyzate of liver and skeletal muscle was made in KOH (30%) in a 1:3
(w/v) ratio; the addition of anthrone solution allowed the coloration of the sample, which was measured photometrically at 620 nm with a 6715 UV/Vis Jenway spectrophotometer. Glycogen concentration was determined using glucose (50%) calibration curve (expressed as µg/mL).
2.6. Statistical Analysis
Experimental results are shown as mean ± SD or median (minimum-maximum). Statistical analysis was performed with SPSS IBM23 (IBM Corp., IL, USA) and GraphPad Prism 5 (GraphPad Software, San Diego, CA, USA) packages. For parametric data, analysis of variance (ANOVA) followed by Tukey’s post hoc analysis was performed. Data not normally distributed were evaluated using the Kruskal-Wallis’ test and Dunn’s test for post hoc multiple comparisons. Differences with a value of p < 0.05 were considered statistically significant.
2.7. Ethical Considerations
The handling and care of the animals, as well as their euthanasia, were carried out in accordance with the regulations and the official standards in force, such as the Official Mexican Norm “NOM-062-ZOO-1999,” which shows the specifications and techniques for the production, care, and use of institutional laboratory animals. Animals’ remains were treated as indicated by the “NOM-087-ECOL-SSA1-2002” for Environmental Protection - Environmental Health – Biologically Infectious Hazardous Waste - Classification and Management Specifications.
4. Discussion
The improvement of the pathophysiology of MS is based on the establishment of pharmacological treatments and lifestyle changes. It is proposed that a healthy eating pattern significantly reduces and controls the risk of developing MS, nevertheless, the adequate nutritional intervention still is controversial. The reduction in the intake of carbohydrates in the diet is one of the main recommendations to reduce body weight, glycemia, and dyslipidemia [
21]. However, diets that entirely restrict carbohydrate intake have not been evaluated in an animal model of MS, where the parameters that make up this condition are evaluated jointly.
The diagnostic criteria of MS have not been clearly established for animal models, however, according to the review by Preguiça
et al. (2020), the metabolic parameters used to determine the presence of this condition in rodent models can be three of the following five: increased fasting glucose, obesity, increased triglyceride concentration, decreased HDL-c concentration, and increased systolic blood pressure. Exposure to the high-glucose diet for 20 weeks produced significant increases in fasting glucose, triglycerides, HDL-c, and CRP concentrations, as well as a decrease in insulin concentration and accumulation in visceral fat deposits. Previous reports in which diets were used for the induction of MS with and energy density similar to that used in this study demonstrated changes in glucose homeostasis and insulin, as well as oxidative imbalance, low-grade inflammation, and plasma dyslipidemia [
22,
23].
Increase in visceral fat deposition in diet-induced metabolic syndrome animal models is a determining factor in the establishment of obesity in rodents as it is related to the development and progression of MS [
24]. At week 20 the animals in the MS group showed a considerable increase in visceral fat deposits in relation to SD group, coinciding with publications in which exposure to high-carbohydrate diets led to the accumulation of visceral fat [
25,
26].
Excess in calorie intake is an important factor in the development of metabolic complications related to MS [
27]. The decrease in caloric intake observed after exposure to CFD with high protein content is consistent with previous reports in animals. These have been related to a state of satiety and increased energy expenditure produced by high-protein diets [
13,
28,
29]. In this sense, the decrease in caloric intake can be related to the decrease in body weight, possibly, also, through an increase in energy expenditure [
30]. Previous studies directly correlate the carbohydrate content in the diet with the increase in body weight and adiposity since carbohydrates are the main secretagogue of insulin, stimulating fat storage [
29]. Therefore, the partial elimination of the carbohydrates in the diet promotes the oxidation of lipids at the expense of their deposits, reflected as a reduction in body weight as was observed in the MS+CFD group in relation to the MS group, fed with a high-glucose diet.
According to some reviews about animal models of diet-induced MS, significant increases in the animal's body weight are not always observed in comparison to control groups, even when they do present important metabolic alterations [
31,
32]. Most of the investigations reported a period of exposure to diets between 6 and 20 weeks, in this study, significant increases in body weight can be observed in animals with MS from week 20 of experimentation compared to the SD group. This verifies the role of chronic exposure to a high-glucose diet in body weight gain in animal models.
Insulin resistance is one of the main underlying links between excessive carbohydrate consumption and the development of MS [
33].
Insulin sensitivity assessment was determined by measuring fasting glucose and insulin at the 40th week of dietary exposure. In the MS group, the high-glucose diet caused deregulation of the carbohydrate metabolism, especially the generation of both hepatic and systemic insulin resistance, observed as a state of hyperglycemia by not suppressing glucose production in the liver. This same group showed a significant decrease in insulin concentration compared to the SD group. Although hyperinsulinemia is considered a significant predictor of the development of MS, the loss of the ability to secrete insulin is strong evidence of pancreatic β-cell deterioration to external stimuli, such as high glucose concentrations for prolonged periods [
34].
The CFD (containing high fats and proteins) caused a non-significant decrease in glucose concentration relative to the MS group without reaching a normalization as the SD group. The CFD produced pronounced changes in carbohydrate metabolism due to the strict requirement of glucose by the central nervous system and other tissues, leading to the activation of hepatic gluconeogenesis, coinciding with the results previously reported by other authors [
35,
36]. The high energy dependence of the gluconeogenesis pathway requires a constant flow of ATP provided by the increase oxidation of fatty acids, thus explaining the weight loss that promotes the increase in this pathway [
37]. Likewise, the insulin concentration in the MS+CFD group showed a normalization, observing comparable results to the SD group. There are reports about the role of carbohydrate-restricted diets in reducing oxidative stress and proinflammatory conditions and its positive impact on pancreatic β-cell integrity in early stages of T2DM in animal models [
38].
Ketone bodies can substitute for glucose in conditions of fuel and food deficiency. β-hydroxybutyrate is the ketone body found in the highest concentration in blood. It has a fundamental role in the temporary inhibition of lipolysis, inflammation, satiety, and states of atherosclerosis and oxidative stress [
39]. The reduction of carbohydrates from the diet promoted the activation of the ketogenesis pathway from free fatty acids as an energy source. It has been reported that a high concentration of β-hydroxybutyrate promotes satiety when a high-protein diet is implemented [
28]. Similarly, β-hydroxybutyrate treatment in mice exposed to a high-fat diet has shown to maintain the animals metabolically healthy by influencing pathways related to glucose homeostasis, mitochondrial function, and obesity [
40].
Dyslipidemia is an essential alteration of MS and the leading cause of the development of cardiovascular disease. Visceral obesity and insulin resistance have been associated with abnormalities in the lipid profile [
41]. MS group exposed to the high-glucose diet showed a state of dyslipidemia with a marked alteration in the concentrations of triglycerides and HDL-c. In contrast, the MS+CFD group presented a normalization of the lipid profile parameters, despite of the increase in the amount of fat in the CFD.
According to Forouhi
et al., (2018) lipid markers improve when saturated, monounsaturated, or polyunsaturated fats replace carbohydrates [
42]. The role of fats in the diet has an erroneous assumption regarding weight gain, based on the relative energy density of the macronutrients: 9 kcal/g of fat compared to 4 kcal/g of protein or carbohydrates. However, it is common to ignore the role of macronutrients in states of hunger and satiety and in the pathways that regulate energy generation, fat storage, and fatty acid metabolism [
43]. The observed results imply that stored and dietary fatty acids were used as the primary fuel in energy generation (gluconeogenesis and ketogenesis) in the absence of carbohydrates [
18], having a lower proportion of lipids stored, also reflected in the body weight loss of the animals in the MS+CFD group.
The characteristic visceral obesity of MS causes a state of hypoxia in the adipocytes, generating necrosis and infiltration of macrophages in the adipose tissue, which leads to an overproduction of proinflammatory cytokines, like tumor necrosis factor-alpha (TNF-α) interleukin-6 (IL-6), and CRP, resulting in general systemic inflammation. CRP is an acute phase reactant produced by hepatocytes in response to IL-6 [
44]. Exposure to the high-glucose diet in the MS group increased the CRP concentration related to the SD group. According to several reports, elevated CRP levels have been directly correlated with obesity, dyslipidemia, hyperglycemia, and insulin resistance [
45,
46].
After exposure to the CFD, the animals showed an improvement in the systemic inflammatory state. A direct relationship between dietary carbohydrate restriction and improved inflammation has been described, mediated by adenosine levels, ketone bodies, and gut microbiota [
47].
MS, especially obesity, insulin resistance, and inflammation, are associated with alterations in liver function. Several reports indicate that liver function, particularly the levels of total bilirubin, ALT, and AST, are closely related to the incidence of MS, in addition to being predictive factors of hepatic steatosis and non-alcoholic fatty liver disease (NAFLD) [
48].
Previous clinical studies that incorporated a partially restricted carbohydrate diet reported no changes in the concentrations of these enzymes in obese patients with T2DM [
49,
50] and patients with NAFLD [
51]. However, in this study the concentration of AST and ALT decreased in the MS+CFD group, this may be because carbohydrate restriction is related to states of ketosis observed in this group. Ketosis is associated with an increase in blood lactate, which causes a rapid consumption of NADH, related to a decrease in the enzymatic activity of AST and ALT [
52].
Glycogen is stored in the liver and skeletal muscle, acting as an energy reservoir. Liver glycogen is the main store that maintains blood glucose homeostasis. The levels of this polymer are significantly altered after changes in glucose homeostasis in MS [
53].
It has been demonstrated that during the first hours of exposure to a carbohydrate-free and high-protein diet, glycogenolysis is the main route of endogenous glucose generation. However, once glycogen levels decrease, the gluconeogenesis pathway became predominant [
15]. In this study, the elimination of carbohydrates in the diet of the MS+CFD group induced a decrease in glucose stored as glycogen in liver and skeletal muscle relative to the MS group, during the activation of glycogenolysis for energy requirement.
MS is associated with an increased risk of developing kidney abnormalities. According to some studies, hypertension, hyperglycemia, dyslipidemia, and obesity play a principal role in promoting kidney damage [
54]. Although there were no significant differences between the SD and MS groups, the latter group showed an increased tendency in urea and creatinine concentrations, demonstrating the role of a high-glucose diet generating renal alterations. Potential mechanisms by which MS affects renal physiology include impaired renal hemodynamics, insulin resistance, hyperlipidemia, activation of the renin-angiotensin-aldosterone system, inflammation, and oxidative stress [
55].
On the other hand, the high protein content in CFD might have fundamentally impact the metabolic processes regulated by the kidneys and renal function [
56]. Increased urea excretion in the MS+CFD group about the SD group was observed; however, creatinine levels were not affected by exposure to CFD, thus indicating that the activation of the gluconeogenesis pathway for energy generation occurred from protein amino acids from the diet and not from the skeletal muscle. These results agree with Ko
et al. (2017), who report no changes in the creatinine concentration in animals subjected to a high-protein and low-carbohydrate diet. There is evidence about the relationship between diets low in carbohydrates and high in protein and fat, and the increase in the glomerular filtration rate, which is possibly reflected in kidney damage [
57,
58]. Nevertheless, previous authors suggest the increase in serum urea as a normal adaptive mechanism that occurs in response to an increase in protein metabolism and does not cause negative effects on renal morphology [
59].
Oxidative stress, whose etiology is mainly mitochondrial dysfunction, is related to the development of MS, causing the appearance of inflammation, thrombosis, and atherosclerosis [
60]. MDA concentration was evaluated as a marker of oxidative damage (lipoperoxidation) in blood serum, liver, kidney, and pancreas. In the MS group, the high glucose content in the diet probably led to an increase in oxidative activity, causing an overproduction of reactive oxygen species (ROS) in the mitochondria, generating damage to macromolecules [
60], reflecting in increases in MDA concentrations at serum and liver levels. Diverse studies have reported increased serum and liver MDA concentrations after exposure to a high-carbohydrate diet, the authors relate this increase with an inflammatory state, especially high levels of CRP [
25,
61].
In contrast, the MS+CFD group showed a decrease in serum MDA concentration, indicating a decrease in oxidative activity and ROS production in mitochondria [
62]. Similarly, decreased lipid peroxidation is related to increased levels of β-hydroxybutyrate, since it inhibits pathways related to the production of ROS and the stimulation of antioxidant enzyme activity [
40,
63]. The results are consistent with those previously observed, where carbohydrate-restricted diets are incorporated [
63].
Figure 1.
(A) Food and (B) beverage intake, (C) total caloric intake and (D) body weight in the groups studied throughout the 40 weeks of experimentation. Data are presented as means ± SD. The comparison between groups was performed using an analysis of variance (ANOVA) followed by Tukey’s post hoc adjustment test. It was considered statistically significant when p<0.05, the statistical differences between groups are presented as: a: SD vs MS; b: SD vs MS+CFD; c: MS vs MS+CFD. Abbreviations: SD, standard diet; MS, metabolic syndrome; MS+CFD, metabolic syndrome, subsequent carbohydrate-free diet.
Figure 1.
(A) Food and (B) beverage intake, (C) total caloric intake and (D) body weight in the groups studied throughout the 40 weeks of experimentation. Data are presented as means ± SD. The comparison between groups was performed using an analysis of variance (ANOVA) followed by Tukey’s post hoc adjustment test. It was considered statistically significant when p<0.05, the statistical differences between groups are presented as: a: SD vs MS; b: SD vs MS+CFD; c: MS vs MS+CFD. Abbreviations: SD, standard diet; MS, metabolic syndrome; MS+CFD, metabolic syndrome, subsequent carbohydrate-free diet.
Figure 2.
(A) Glucose, (B) insulin, and (C) β-hydroxybutyrate concentrations at the 40th week of experimentation in the study groups. Data are presented as median (minimum-maximum). A comparison analysis between groups was performed using the Kruskal-Wallis’ test and Dunn’s adjustment test post hoc. It was considered statistically significant when p<0.05. Abbreviations: SD, standard diet; MS, metabolic syndrome; MS+CFD, metabolic syndrome, subsequent carbohydrate-free diet.
Figure 2.
(A) Glucose, (B) insulin, and (C) β-hydroxybutyrate concentrations at the 40th week of experimentation in the study groups. Data are presented as median (minimum-maximum). A comparison analysis between groups was performed using the Kruskal-Wallis’ test and Dunn’s adjustment test post hoc. It was considered statistically significant when p<0.05. Abbreviations: SD, standard diet; MS, metabolic syndrome; MS+CFD, metabolic syndrome, subsequent carbohydrate-free diet.
Figure 3.
(A) Triglycerides, (B) total cholesterol, (C) HDL-c, (D) LDL-c, and (E) VLDL-c concentrations at the 40th week of experimentation in the study groups. Data are presented as median (minimum-maximum). A comparison analysis between groups was performed using the Kruskal-Wallis’ test and Dunn’s adjustment test post hoc. It was considered statistically significant when p<0.05. Abbreviations: SD, standard diet; MS, metabolic syndrome; MS+CFD, metabolic syndrome, subsequent carbohydrate-free diet.
Figure 3.
(A) Triglycerides, (B) total cholesterol, (C) HDL-c, (D) LDL-c, and (E) VLDL-c concentrations at the 40th week of experimentation in the study groups. Data are presented as median (minimum-maximum). A comparison analysis between groups was performed using the Kruskal-Wallis’ test and Dunn’s adjustment test post hoc. It was considered statistically significant when p<0.05. Abbreviations: SD, standard diet; MS, metabolic syndrome; MS+CFD, metabolic syndrome, subsequent carbohydrate-free diet.
Figure 4.
C-reactive protein concentrations in the study groups at the 40th week of experimentation. Data are presented as median (minimum-maximum). A comparison analysis between groups was performed using the Kruskal-Wallis’ test and Dunn’s adjustment test post hoc. It was considered statistically significant when p<0.05. Abbreviations: SD, standard diet; MS, metabolic syndrome; MS+CFD, metabolic syndrome, subsequent carbohydrate-free diet.
Figure 4.
C-reactive protein concentrations in the study groups at the 40th week of experimentation. Data are presented as median (minimum-maximum). A comparison analysis between groups was performed using the Kruskal-Wallis’ test and Dunn’s adjustment test post hoc. It was considered statistically significant when p<0.05. Abbreviations: SD, standard diet; MS, metabolic syndrome; MS+CFD, metabolic syndrome, subsequent carbohydrate-free diet.
Figure 5.
(A) Serum urea and (B) serum creatinine concentrations at the 40th week of experimentation in the study groups. Data are presented as median (minimum-maximum). A comparison analysis between groups was performed using the Kruskal-Wallis’ test and Dunn’s adjustment test post hoc. It was considered statistically significant when p<0.05. Abbreviations: SD, standard diet; MS, metabolic syndrome; MS+CFD, metabolic syndrome, subsequent carbohydrate-free diet.
Figure 5.
(A) Serum urea and (B) serum creatinine concentrations at the 40th week of experimentation in the study groups. Data are presented as median (minimum-maximum). A comparison analysis between groups was performed using the Kruskal-Wallis’ test and Dunn’s adjustment test post hoc. It was considered statistically significant when p<0.05. Abbreviations: SD, standard diet; MS, metabolic syndrome; MS+CFD, metabolic syndrome, subsequent carbohydrate-free diet.
Figure 6.
MDA concentrations in (A) blood serum, (B) liver, (C) kidney and (D) pancreas in the study groups at the 40th week of experimentation. Data are presented as median (minimum-maximum). A comparison analysis between groups was performed using the Kruskal-Wallis’ test and Dunn’s adjustment test post hoc. It was considered statistically significant when p<0.05. Abbreviations: SD, standard diet; MS, metabolic syndrome; MS+CFD, metabolic syndrome, subsequent carbohydrate-free diet; MDA, malondialdehyde.
Figure 6.
MDA concentrations in (A) blood serum, (B) liver, (C) kidney and (D) pancreas in the study groups at the 40th week of experimentation. Data are presented as median (minimum-maximum). A comparison analysis between groups was performed using the Kruskal-Wallis’ test and Dunn’s adjustment test post hoc. It was considered statistically significant when p<0.05. Abbreviations: SD, standard diet; MS, metabolic syndrome; MS+CFD, metabolic syndrome, subsequent carbohydrate-free diet; MDA, malondialdehyde.
Table 1.
Hepatic enzymes and, liver and muscle glycogen concentrations.
Table 1.
Hepatic enzymes and, liver and muscle glycogen concentrations.
Biochemical Parameter |
SD Group |
MS Group |
MS+CFD Group |
p Value |
AST (U/L) |
84.29 (72.92-214.08) |
75.25 (54.83-155.75) |
44.63 (11.66-88.08) |
0.00082 0.0133
|
ALT (U/L) |
49.88 (39.08-99.17) |
16.33 (13.42-24.50) |
31.79 (7.00-66.50) |
0.0001 0.0213
|
Liver Glycogen (µmol/L) |
1.82 (1.41-2.85) |
6.47 (2.69-22.33) |
3.13 (0.14-5.23) |
0.0001
|
Muscle Glycogen (µmol/L) |
2.64 (1.51-6.0) |
4.23 (1.84-5.75) |
2.85 (0.22-5.49) |
ns |