Background
Prediabetes is described as a state in which an individual has a high risk for future development of diabetes. The diagnosis of prediabetes is based on a fasting plasma glucose level (100–125 mg/dl) and 2-h plasma glucose level (140–199 mg/dl) after oral glucose tolerance test. Depending on the test results, prediabetes is classified into isolated impaired fasting glucose (IFG), isolated impaired glucose tolerance (IGT), or combined IFG/IGT [
1,
2]. Within numerous clinical studies in the pathology of prediabetes, the changes of insulin secretion capacity and tissue insulin sensitivity have been delineated.
Early clinical reports indicated that first-phase insulin secretory response was decreased in individuals with isolated IFG and IGT compared to individuals with normal glucose tolerance (NGT) [
3‐
6]. Moreover, individuals with isolated IGT also showed a severely diminished second-phase insulin secretory response [
5,
6]. However, a recent study proposed a mathematical model of pancreatic insulin secretion that is in disagreement with the above reports [
7]. In insulin resistance associated with prediabetes, the insulin secretory response increases as a compensatory mechanism. In this model, isolated IFG had a higher first-phase insulin secretion level; isolated IGT had a higher second-phase insulin secretion level; combined IFG/IGT had higher first- and second-phase insulin secretion levels compared to NGT.
Since liver and skeletal muscle are the major tissues responsible for glucose homeostasis, the insulin resistance in different tissues and their interaction complicate the pathology of developing prediabetes. The hypothesis, skeletal muscle insulin resistance promoting the developments of non-alcoholic fatty liver disease and hepatic insulin resistance, has been proposed [
8,
9]. Intramyocellular lipid accumulation causes skeletal muscle insulin resistance and further impaired glucose transport and glycogen synthesis. Under the condition of the muscle insulin resistance, the liver extends the metabolized capacity of ingested carbohydrates and promotes hepatic de novo lipogenesis [
8]. In this view, the insulin resistance in skeletal muscle might occur earlier than in liver. To address this hypothesis, the tissue-specific insulin resistance was examined in the current study.
Over the last 30 years, swine have been considered a suitable animal model for diabetic and metabolic research because their pancreas morphology, gastrointestinal physiology, nutrition requirements, plasma lipid profiles and metabolism are similar to humans’. Miniature pigs have a smaller body size and are more easily handled than domestic pigs, and therefore these pigs are commonly used in biomedical studies. Several miniature pig strains, including Yucatan, Göttingen, Guizhou, and Ossabaw, have been used for the development of diabetes models [
10]. It has been reported that pigs fed diets with excessive fat and energy displayed dyslipidemia, hyperinsulinemia, and obesity; however, most of these models did not exhibit severe hyperglycemia [
11]. Thus, the porcine model of type 2 diabetes by dietary manipulation should be explored and examined in other strains.
The Lee-Sung pig is a strain cross-bred between Lanyu small-ear miniature pigs and Landrace pigs [
12]. This strain grows to 62 kg in average weight at 21 months of age, which is similar to adult human body weight [
13]. Hence, we examined could the possibility to establish a diet-induced prediabetic porcine model utilizing adult Lee-Sung pigs via long-term feeding with a high-fat plus high-fructose (HFHF) diet. Furthermore, we evaluated the changes in glucose tolerance, insulin secretory response, and tissue-specific insulin resistance in these pigs after the dietary intervention.
Methods
Animals and handling
Seven adult castrated Lee-Sung pigs (2-years old) were used in this study. All of animal experimental procedures were conducted in accordance with the Guide for the Care and Use of Laboratory Animals and were approved by the Institutional Animal Care and Use Committee of National Taiwan University. The animals were housed in the Experimental Farm, National Taiwan University and kept in natural dark–light cycles and ambient temperature. Pigs were allowed an acclimatization period of 2 weeks and were gradually introduced to their experimental diets. Pigs were randomly divided into two groups and fed with different diets: low-fat diet (n = 3), and high-fat plus high-fructose diet (HFHF, n = 4) containing 17.8% fructose and 21.2% crude fat (Additional file
1: Table S1), modified from Lee’s dietary formula [
14]. The HFHF diet provided excess fat, sugars, and calories, but no cholesterol supplementation. Animals were fed twice daily at 7 a.m. and 5 p.m. with a restricted dietary amount (~ 2700 kcal/animal/day) in the low-fat group or ad libitum feeding (~ 5200 kcal/animal/day) in HFHF group. Water was freely accessible.
Animal weights, overnight fasting serum glucose and insulin levels were measured monthly. At the end of the experimental period, animals were sacrificed 6 h after the last meal by using the head-only electrical stunning and followed by neck exsanguination. The blood and tissue samples were collected for further analyses.
Serum biochemistry
Blood samples were collected from the jugular vein and incubated for 1 h at room temperature to allow clotting. Serum was collected by centrifugation at 5000×g for 10 min and stored at − 80 °C until analyzed. Serum glucose, triglyceride, total cholesterol, alanine aminotransferase (ALT), aspartate aminotransferase (AST), and uric acid levels were assayed using a SPOTCHEM SP-4410 automatic dry chemistry analyzer (ARKRAY, Inc., Kyoto, Japan). Serum insulin levels were measured using porcine insulin ELISA kit (Mercodia AB, Uppsala, Sweden). Serum high density lipoprotein cholesterol (HDL-c) and low and very low density lipoprotein cholesterol (LDL/VLDL-c) were measured using the HDL and LDL/VLDL quantitation kit (Sigma-Aldrich, St. Louis, MO, USA). Serum non-esterified fatty acid (NEFA) was measured using the free fatty acid quantitation kit (Sigma-Aldrich).
Quantification of insulin resistance
Insulin resistance was determined from the values of fasting blood glucose and insulin using a homeostatic model assessment (HOMA-IR) [
15]. The formula is (G
b × I
b)/405, where G
b and I
b are the basal (fasting) levels of glucose (mg/dl) and insulin (μU/ml) concentration. For the requirement of calculating the formula, the unit conversion factor of porcine insulin used was 1 μU/ml = 6 pmol/l.
Intravenous glucose tolerance test
At the 9- and 12-month time points, each pig was subjected to intravenous glucose tolerance tests (IVGTT) to assess serial changes in systemic insulin sensitivity. After a 16-h fast, the pigs were sedated with Stresnil (4 mg/kg, i.m.; Janssen Pharmaceutica N.V., Beerse, Belgium) containing atropine (0.04 mg/kg, i.m.), and then anesthetized with Zoletil 50 (1.7 mg/kg, i.m.; Virbac, Carros, France). A 24G indwelling needle was inserted into the ear vein to withdraw blood samples. The pigs were injected with 50% glucose (0.5 g/kg) via the jugular vein, using a 13G 4-inch steel needle and ultrasonic equipment M7Vet (Mindray Inc., DC, USA). Blood samples were collected 5, 10, 15, 20, 25, 30, 40, 50, 60, 75, 90, 105, 120, 150, and 180 min from the end of the glucose injection for the measurement of glucose and insulin concentrations. Blood glucose concentrations were measured by glucometer ELITE XL (Bayer Co., Mishawaka, IN, USA) immediately. Serum samples were stored at − 80 °C until the measurement of insulin concentrations using a porcine insulin ELISA kit (Mercodia). Some higher insulin concentration samples were diluted three times with kit diluent and underwent further analysis. The acute insulin response (AIR) was calculated as the difference in mean insulin concentration at 5 and 10 min minus the insulin concentration at 0 min of the IVGTT. The rate of increase in insulin levels during the second phase was calculated as the mean of \(\left( {{\text{Ins}}_{T} - {\text{Ins}}_{{T^{\prime\prime}}} } \right)/\left( {T - T^{\prime\prime}} \right)\), where Ins is insulin concentration, T is each time point from 10 to 40 min, and T″ is the previous time point of T.
Ex vivo insulin stimulation of muscle and liver tissues
The method of ex vivo tissue culture mainly referred to the previous study [
16]. The fresh soleus muscle and liver tissue samples were obtained by 16G SuperCore™ semi-automatic biopsy needle (Argon medical device Inc., Plano, TX, USA) to make equivalent column size specimens. The size of each specimen was 1.2 (diameter) × 20 (length) mm; the weight was approximately 25 mg. For treating three different concentrations of insulin, three specimens were obtained from each tissue. During sampling, the specimens were immersed in cold Krebs–Henseleit bicarbonate buffer (KHB; pH 7.35, 10 mM HEPES, 24 mM NaHCO
3, 114 mM NaCl, 5 mM KCl, 1 mM MgCl
2, and 2.2 mM CaCl
2) or DMEM medium (Sigma-Aldrich) without glucose for muscle or liver specimens, respectively. The muscle specimens were then transferred into fresh pre-warmed KHB containing 3 mM glucose, 7 mM mannitol, and 0.1% (w/v) bovine serum albumin (BSA) in the absence (0 nM) and presence (10 or 100 nM) of porcine insulin (Sigma-Aldrich) and incubated at 37 °C for 30 min. After incubation, the specimens were washed with PBS twice and stored at − 80 °C until analysis. For liver specimens, the buffer was substituted with DMEM medium for KHB and the procedure was the same as described above.
Western blot analysis
For preparation of total cellular protein, 10 mg tissue samples were homogenized in cold lysis buffer containing protease inhibitor cocktail (Roche, Basel, Switzerland) and phosphatase inhibitor cocktail (Roche). The total homogenate was centrifuged at 13,000×g for 10 min to pellet cell debris. Protein concentration in the supernatant was determined by BCA assay (Thermo Fisher Scientific, Waltham, MA, USA). One-quarter volume of 4 × Laemmli buffer was added into the lysate that was then boiled for 5 min. The tissue extracts were then subjected to 10% sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE), and the separated proteins were transferred to a polyvinylidene fluoride membrane. The membrane was blocked with 5% non-fat milk for 1 h and then incubated overnight at 4 °C with anti-phospho-AKT (#4060, Cell Signaling Technology, Inc., Danvers, MA, USA) antibody in TBS containing 0.1% Tween-20 (TBST) and 1% BSA. After being washed in TBST, the membrane was incubated for 1 h at room temperature with horseradish peroxidase-conjugated secondary antibody (Santa Cruz, Dallas, TX, USA) in TBST with 5% non-fat milk. After washing in buffer, signals were detected by ECL (GE Healthcare, Little Chalfont, UK) using a CCD camera system (Topbio Co. Taipei, Taiwan). For detection of total AKT as an internal control, the same membrane was incubated with stripping buffer (Thermo Fisher Scientific) for 15 min at 37 °C. After washing with TBST, the membrane was re-probed with anti-pan-AKT antibody (#4691, Cell Signaling Technology) as above. The protein expression level was determined by obtaining the signal density in a defined area using ImageJ version 1.49b (NIH, Bethesda, MD, USA). To evaluate the insulin sensitivity in each pig, the result represents the value of p-AKTS473/pan-AKT normalized to insulin 0 nM treatment in each pig.
Statistical analysis
The measurements of body weight, glucose level, insulin level, HOMA-IR, and serum biochemistry at the same time point were analyzed by Student’s t test. Significant differences between groups were determined at the 0.05 probability level (p < 0.05). In the IVGTT experiments, the data of two groups at the same month were analyzed by Student’s t test. To compare the data between different month time points in the same group, paired Student’s t test was used. In the ex vivo experiments, insulin treatments in the same dietary group were subjected to one-way analysis of variance (ANOVA). When the significance was detected among dosage treatments at p < 0.05, the difference between treatments was evaluated by the least significant difference (LSD) test. To compare the insulin responses at the same concentration between two dietary groups, Student’s t test was used. All results are expressed as means ± SEM. All statistical analyses of data were performed using IBM SPSS Statistics version 20 (IBM Corp. Armonk, NY, USA) and Microsoft Excel (2010).
Discussion
In the current study, we investigated the progressive changes in insulin secretory response and the development of tissue-specific insulin resistance in the HFHF diet-fed adult Taiwan Lee-Sung miniature pigs. According to the results, the pigs presented several features, including normal fasting glycemia, hyperinsulinemia and dyslipidemia, similar to insulin-resistant or IGT prediabetic subjects [
8,
19]. In addition, the pigs also displayed intense insulin secretion, glucose intolerance and skeletal muscle insulin resistance. With supporting the hypothesis, the insulin resistance developed in skeletal muscle prior to liver tissues in the HFHF pigs.
A prospective study of over 6500 subjects with 9.7 years follow-up indicated that those who developed diabetes had higher fasting and 2-h postload glucose, fasting and 2-h postload insulin, and beta cell secretory function, and lower HOMA-IR insulin sensitivity compared to non-diabetes subjects at baseline before diagnosis [
20]. Most of these features were confirmed in the current study of pigs subjected to long-term feeding of the HFHF diet. The HFHF pigs showed normal fasting glucose and higher 2-h postload glucose and muscle insulin resistance (lack of AKT Ser473 phosphorylation), which suggested that these pigs had isolated IGT. In addition, the high level of fasting insulin concentration was clearly observed in insulin-resistant obese or prediabetic individuals in the numerous clinical reports and current study [
3,
8,
19‐
21]. Dyslipidemia, with higher serum triglyceride, and lower serum HDL-c levels, is a strong correlative to insulin resistance [
8,
21]. Several studies suggested that lipids could induce insulin resistance in liver and skeletal muscle by interfering with downstream signal transduction of the insulin receptor [
22‐
25]. To compensate for tissue insulin resistance, the basal insulin level should elevate to maintain blood glucose homeostasis. Lipids also may contribute to basal insulin hypersecretion, due to an increase of intracellular reactive oxygen species in the beta cell [
26,
27]. In addition to lipids, fructose is purposed to enhance glucose-stimulated insulin secretion via the sweet taste receptor on the beta cell, thereby amplifying the intracellular calcium signal [
28]. Taken together, hyperinsulinemia, obviously present in the HFHF pigs, was caused by multiple factors including indirect increasing peripheral insulin resistance and direct stimulating beta cell function.
The pancreatic insulin secretory capacity changes during the long period of prediabetes. Tabák et al. indicated that the insulin secretion in diabetic subjects began increasing between 4 and 3 years before diagnosis, with a steep decrease beginning 3 years before diagnosis, the late stage of prediabetes [
20]. Therefore, unlike the descriptions from previous studies that prediabetic subjects have decreasing insulin secretory responses [
5,
6], the HFHF pigs showed excessive secretion of insulin by IVGTT during the early stage of prediabetes. In addition, the temporary amelioration of glucose tolerance by way of increasing the 2nd phase insulin secretion was observed at the 12-month time point. These results supported the idea that elevating insulin secretory capacity to compensate the developing insulin resistance on the prediabetic status. Of note, the assessment of insulin secretion in these studies was based on the insulinogenic index, the ratio of change in plasma insulin and glucose levels during glucose challenge (ΔIns/ΔPG) [
5,
6]. This index is more suited to pancreatic tissue and cell culture compared to whole-body in vivo measurements because the glucose disposal rate effects change plasma glucose levels and should be considered. In addition, the observation of increased 2-h postload insulin in the subjects with isolated IGT or combined IFG/IGT in these studies also supported our finding.
Ectopic lipid accumulation has been considered as a critical pathogenic factor for developing insulin resistance in both muscular and hepatic tissue [
29]. The cause of ectopic lipid accumulation may be the loss of lipid-buffering capacity of insulin resistance-adipose tissues, which leads to lipolysis and elevated circulating lipid levels. The current study supports this hypothesis, which the HFHF pigs had the high level of serum NEFA and dyslipidemia. The ectopic lipid accumulation in the both skeletal muscle and hepatic tissue were also observed (Additional file
1: Figure S1). However, the tissue triglyceride content was not absolutely related to the development of insulin resistance, because only the skeletal muscle had progressed to decreasing insulin sensitivity. Furthermore, instead of triglyceride, the diacylglycerol and ceramide are regarded as the key factors in aggravating insulin resistance [
29]. These lipid metabolites disrupt insulin signaling transduction by activating the several isoforms of protein kinase Cs (PKCs), including PKCθ PKCε and PKCζ [
29]. On the basis of the ex vivo testing of insulin-stimulated AKT Ser473 phosphorylation, insulin resistance was primarily observed in skeletal muscle in the HFHF pigs. This evidence also supports the idea that insulin resistance in skeletal muscle rather than liver is the preliminary defect in the development of metabolism syndrome and type 2 diabetes [
9,
30]. Therefore, we proposed that adipose tissue initially has insulin resistance and increasing lipolysis, which leads to ectopic lipid accumulation in both skeletal muscle and liver. The skeletal muscle is more rapid in developing insulin resistance than liver, and precipitates the deterioration in glucose tolerance.
Fructose consumption is a potential factor that induced hepatic
de novo lipogenesis resulting in non-alcoholic fatty liver disease and hepatic insulin resistance [
17,
31,
32]. Unexpectedly, the HFHF pigs did not develop fatty liver (as assessed by histological analysis), tremendous hepatic triglyceride content (Additional file
1: Figures S1, S2), hyperuricemia, and hyperglycemia, the outcomes of elevated endogenous glucose production under conditions of hepatic insulin resistance. Clinical studies have indicated that only small amounts, 0.05 and 0.15%, of absorbed fructose are converted de novo to fatty acids and triglyceride-glycerol, respectively [
33], and most, 28.9–37.4%, is converted to glucose [
34]. However, fructose consumption indeed increases newly synthesized triglyceride-glycerol in circulating VLDL [
33], which suggests that fructose may alter hepatic lipid metabolism through other mechanisms instead of direct contribution to lipid synthesis. It has been demonstrated that uric acid mediates fructose-induced lipid accumulation in hepatocytes [
35]. Metabolizing fructose transiently depletes intracellular ATP and results in uric acid overproduction, which causes mitochondrial oxidative stress and de novo lipogenesis. Unlike the human, deficient in functional uricase, most mammalians are able to metabolize uric acid and therefore have relatively low level of uric acid in circulation [
36]. In the context of the present study, the metabolism of fructose and uric acid in the pigs may be different than humans, resulting in a lack of fructose-induced hyperuricemia, hepatic steatosis and insulin resistance.
Prediabetes contains several features with insulin resistance, hyperinsulinemia, glucose intolerance and/or hyperglycemia. According to the previous studies and current data, swine is the species that could be induced to hyperinsulinemia but hardly to hyperglycemia under the excess fat and energy dietary intervention (Table
2). Several miniature pig strains, including Göttingen [
37,
38], Ossabaw [
14,
39] and Yucatan [
40], had various degrees of increasing fasting insulin levels or insulin hypersecretion in the glucose tolerance test after high-fat diet feeding for 3–6 months. However, the fasting glucose levels were shown as slight or no increase. A recent study, using Bama miniature pigs fed with high-fat and high-sucrose diet for 23 months, displays the gradually increasing fasting insulin levels and glucose intolerance along with the lateral-half experimental period [
41]. In spite of long-term feeding, the hyperglycemia was not developed in these pigs. Therefore, swine fed with high-fat and high-energy diet could present IGT-like prediabetes. Additionally, on the basis of above studies and present results, we suggest that the longer dietary intervenient period rather than porcine strain is the major factor to result in more severe hyperinsulinemia and insulin resistance. It has been reported that hyperglycemic porcine model by using chemical induction, such as streptozotocin and alloxan, is established [
10,
11]. Unlike dietary intervention model, these pigs lack hyperinsulinemia and insulin resistance. Due to hyperinsulinemia and insulin resistance relating to various disease developments [
40,
41], the dietary intervention model may be more applicable to study IGT-type prediabetic pathophysiology and prophylaxis.
Table 2
The comparisons of metabolic manifestations in different porcine strains and dietary interventions
Lee-Sung | 2 years | High fat high fructose | 12 months | Con: 98 Int: 153 (1.6 ×)a
| Con: 3.9 mM Int: 4.4 mM (1.1 ×) | Con: 2.0 μIU/ml Int: 6.9 μIU/ml (3.5 ×) | Hyperinsulinemia, dyslipidemia, insulin resistance, intense insulin secretion (IVGTT) | Current |
Ossabaw | 5–10 months | High fat high fructoseb
| 6 months | Con: 56 Int: 87 (1.6 ×) | Con: 77 mg/dl Int: 87 mg/dl (1.1 ×) | Con: 10 Int: 18 (1.8 ×) | Slight hyperinsulinemia, severe dyslipidemia, insulin resistance | |
Ossabaw | 6 months | High fat high fructoseb
| 6 months | Con: 54 Int: 91 (1.7 ×) | Con: 73 mg/dl Int: 80 mg/dl (1.1 ×) | Con: 5 μIU/ml Int: 21 μIU/ml (4.2 ×) | Hyperinsulinemia, severe dyslipidemia, insulin resistance | |
Göttingen | 7–8 months | High fat high energy | 3 months | Con: 24 Int: 32 (1.3 ×) | Con: 3.6 mM Int: 4.3 mM (1.2 ×) | Con: 23 pM Int: 80 pM (3.5 ×) | Hyperinsulinemia, slightly increasing insulin secretion (IVGTT) | |
Göttingen | 7 weeks | High fat high sucrose | 4 months | Con: ~ 14 Int: ~ 17 (1.2 ×) | Con: 4.2 mM Int: 4.7 mM (1.1 ×) | Con: 34 pM Int: 47 pM (1.4 ×) | Slight hyperinsulinemia, dyslipidemia, slightly increasing insulin secretion (IVGTT) | |
Yucatan | 3 months | High fat high fructose | 7 months | Con: 40 Int: 73 (1.8 ×) | Con: ~ 2.3 mMb
Int: ~ 2.8 mMc (1.2 ×) | Con: ~ 1.5 μIU/mlc
Int: ~ 5 μIU/mlc (3.3 ×) | Hyperinsulinemia, dyslipidemia, insulin resistance, intense insulin secretion (IVGTT) | |
Bama | 6 months | High fat high sucrose | 23 months | Con: 51 Int: 140 (2.7 ×) | Con: 6.62 mM Int: 4.99 mM (0.8 ×) | Con: 5.7 μIU/ml Int: 28.3 μIU/ml (5 ×) | Hyperinsulinemia, dyslipidemia, insulin resistance | |
Authors’ contributions
MCH, YCC, HCL, and CHC designed the research. MCH, MEW, and YFJ performed the research, developed the methods, analyzed and interpreted data. MCH, YCC, and CHC wrote the manuscript. CHC is responsible for the integrity of the work as a whole. All authors read and approved the final manuscript.