Abstract
Background
The metabolic syndrome is common in populations exposed to a typical Western diet. There is a lack of an animal model that mimics this condition.
Methods
We fed 15 cynomolgus monkeys ad libitum a high sugar high fat (HSHF) diet for 33 weeks. Body weight, body composition, serum lipids and insulin were measured at baseline and at 33 weeks.
Results
The animals tolerated the HSHF diet very well. In the intervention group, total serum cholesterol and LDL-C were 3- and 5-fold higher, respectively, at 33 weeks as compared to their baseline levels. Serum HDL-C and triglycerides were not significantly affected. Dual-energy X-ray absorptiometry (DXA) analysis of the intervention group indicated that the trunk fat mass increased by 187% during this period.
Conclusions
Cynomolgus monkeys should be a useful model for investigating the interactions of diet and other factors such as genetics in the development of the metabolic syndrome.
Keywords: Dual X-ray absorptiometry, LDL-cholesterol, triglyceride, insulin
Background
The prevalence of the metabolic syndrome, characterized by increased adiposity and adversely altered lipid and glucose regulation, is increasing in populations exposed to a typical Western diet [5]. It is estimated that 25% of the U.S. population is affected by the metabolic syndrome [11]. Numerous studies have found that the metabolic syndrome is associated with increased risk of type 2 diabetes, coronary heart disease, and certain cancers [6, 16, 26–39]. Although weight, genetics, age, stress, and sedentary lifestyles are known contributing factors, the exact etiology of the metabolic syndrome is not completely known [3, 12, 17, 23, 24]. Observations of humans and studies in animal models have suggested that exposure to Western diets, particularly those with high intakes of sugar-sweetened beverages, contribute to its development [4, 8, 10, 36]. However, the mechanisms underlying the contribution of such dietary factors to the metabolic syndrome have yet to be fully elucidated.
One major problem that has restricted our understanding of the pathogenesis of the metabolic syndrome is the lack of animal models that fully mimic the human condition. The development of clinically relevant animal models will greatly enhance efforts to study the mechanisms underlying dietary effects on the metabolic syndrome and the interaction of diet with genetic traits. Although rodents have been used as animal models of the metabolic syndrome, their lipid metabolism and lipid profiles are different from those of humans, making them less than desirable as models [1]. Nonhuman primates are phylogenetically closer to humans and have similar lipid metabolism and lipid profiles as humans [30]. Several nonhuman primate species have been used extensively to study the various aspects of the metabolic syndrome [18, 31]. Rhesus monkeys develop spontaneous metabolic syndrome and this model has provided a system for the longitudinal studies for this disease [13, 14]. Rhesus monkeys have also been used extensively in caloric restriction studies. They have shown that this dietary regimen results in improvements in many factors related to the metabolic syndrome, including decreased body weight and fat mass, and improved glucoregulatory function and lipid profile compared to ad libitum fed controls [9, 21, 25].
Cynomolgus monkeys have also been used to study dietary effects on various aspects of the metabolic syndrome such as atherosclerosis, vascular responses, and glucose sensitivity [33, 34]. Most recently another nonhuman primate, the baboon, has also been used to study the effects of exposure to a high sugar, high fat (HSHF) diet on adiposity and metabolic markers [15]. The results in the baboon model have shown direct effects of a HSHF diet on components of the metabolic syndrome as indicated by increased body fat and triglyceride concentrations, altered adipokine concentrations, and evidence of altered glucose metabolism [15]. Veterinary experience indicates that different primate species tolerate and thrive on different types of dietary regimes, and that there is no obvious way to predict the success of any given diet intervention in a particular species. In a recent study rhesus monkeys exposed to a high fat, high cholesterol diet failed to gain weight and also failed to increase or otherwise change their daily caloric intake [30].
The aims of this study were to investigate 1) whether the cynomolgus monkey would tolerate long-term exposure to a HSHF diet, and 2) whether feeding cynomolgus monkeys such a diet alters body composition and serum metabolic biomarkers.
Methods
Animals
We selected 15 male cynomolgus monkeys (Macaca fascicularis) 5 to 7 years of age from the colony at the Southwest National Primate Research Center (SNPRC), Texas Biomedical Research Institute (Texas Biomed). Animals in the intervention group were fed a HSHF diet and housed individually in a temperature- and humidity-controlled environment with a 12-hour light to dark cycle to maintain normal circadian rhythms. Ten additional age-matched male control animals remained in outside group housing and were fed a low sugar low fat (LSLF) baseline diet. All animals were sexually mature as determined by testis size. While the ideal experimental design would be to house the two groups in the same way, resources did not permit identical housing. The LSLF group was included mainly to help in interpretation of the results.
For the animals in the intervention group, body weight and dual energy X-ray absorptiometry (DXA) scans were recorded at baseline and after 33 weeks of dietary challenge. For the DXA scans, after a 12-hour overnight fast, the animals were sedated with ketamine and anesthesia maintained with isoflurane during the whole scanning procedure. Dual energy X-ray absorptiometry (DXA) body composition scans were undertaken using a Lunar Prodigy densitometer (GE Healthcare, Madison, WI). Animals were placed in the supine position on the DXA bed and extremities were positioned within the scanning region. Scans were analyzed using Encore2007 software version 11.40.004 (GE Healthcare, Madison, WI). Total body, trunk region (torso) and limb (arm + leg) region compositions were determined. For the age-matched control animals, body weight was measured and blood collected at 0 and 33 weeks after a 12 hour fast and under ketamine sedation, but DXA measurements were not performed because resources did not permit.
All procedures were approved by the Texas Biomed Institutional Animal Care and Use Committee (IACUC). Texas Biomed is accredited by the Association for Assessment and Accreditation of Laboratory Animal Care International (AAALAC).
Diet
The low sugar low fat diet is a commercially available solid feed (5LE0, LabDiet, PMI, St. Louis, MO) high in complex carbohydrates and low in fat. The energy composition of the HSHF diet corresponded to that of a typical human fast-food diet, which is high in saturated fat and simple carbohydrates. The diet was originally developed to induce obesity and related metabolic dysregulation in the baboon (Papio hamadryas) [15]. It was prepared using 73% Purina Monkey Chow 5038, 7% lard, 4% vegetable oil (Crisco® Orrville, OH), 4% coconut oil, 10.5% high fructose corn syrup, and 1.5% water. The food was flavored with artificial fruit flavors (Kool Aid®) and baked to form palatable pellets. Before the animals were put on the HSHF diet their daily feed consumption was monitored for 2 weeks. After the animals were started on the HSHF diet, food consumption was recorded daily. The nutrient composition of the two diets is shown in Table 1.
Table 1.
LSLF diet (5LE0)1 | HSHF diet2 | |
---|---|---|
Fuel value (kcal/g) | 3.34 | 4.33 |
Protein (%) | 15.3 | 11.4 |
Fat (%) acid hydrolysis | 5.9 | 18.5 |
Fiber (%) | 5.8 | 3.1 |
Total carbohydrate (%) | 57.7 | 55.2 |
Ash (%) | 6.2 | 4.9 |
Vitamin C (mg/100g) | 54 | 233 |
Cholesterol (mg/100g) | 4.9 | 127 |
Kilocalories from fat (%) | 12.6 | 38.6 |
Kilocalories from protein (%) | 18.3 | 10.5 |
Kilocalories from total carbohydrate (%) | 69.1 | 51.0 |
Kilocalories from simple sugars (%) | 3.13 | 10.7 |
Protein/energy ratio (%/kcal/g) | 4.58 | 2.6 |
Minerals/energy ratio (%/kcal/g) | 1.85 | 1.13 |
Simple sugar profile | ||
Glucose (%) | 0.29 | 3.5 |
Fructose (%) | 0.32 | 5.1 |
Sucrose (%) | 1.85 | 2.2 |
Lactose (%) | 0.15 | 0.7 |
Maltose (%) | - | 0.1 |
From chemical analysis of micronutrient composition provided by the manufacturer (5LE0, LabDiet, PMI, St. Louis, MO., 8/23/2006)
From chemical analysis of nutrient composition from Covance Laboratories (Madison, WI)
Serum lipid profile, insulin, and other metabolic assays
Serum total cholesterol, high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), triglyceride, and glucose were assayed using ACE® reagents on an ACE® clinical chemistry machine (Alfa Wassermann Diagnostic Technologies, LLC, West Caldwell, NJ). Insulin was assayed using a human insulin ELISA kit (Millipore, Billerica, MA). The homeostasis model assessment (HOMA-IR = [insulin (μU/ml) × glucose (mmol/L)]/22.5 was used to determine insulin resistance. This model has been used before in cynomolgus monkeys [28, 29].
Statistical analysis
The mean values at 33 weeks for the intervention group were compared to each animal’s mean value at baseline using the two-tailed paired samples t-test (Microsoft Office Excel). The mean values for the intervention group after 33 weeks were compared with those of the age-matched control group using the unpaired t-test. A p-value <0.05 was considered significant.
Results
Diet consumption
The animals tolerated the HSHF diet very well and none of them displayed adverse clinical signs during the experimental period. Average caloric intake during the experimental period is shown in Table 2. By week 33, animals in the intervention group were consuming an average of 731 kilocalories per day, an increase of 59% over baseline calorie intake (p < 0.05).
Table 2.
Time Point | Caloric Intake (kcal/day) | Body weight (kg) |
---|---|---|
Baseline | 457.19±140.09 | 5.48 ± 1.09 |
8 weeks | 704.71±101.61* | 5.89 ± 1.35ns |
16 weeks | 676.28±106.32* | 5.99 ± 1.44* |
33 weeks | 731.34±149.82* | 6.51 ± 1.77* |
One-way repeated measures analysis of variance was used to compare caloric intake and body weight at different time points. All pairwise multiple comparisons were done by the Tukey Test.
p< 0.05 as compared to baseline values
Body weight and body composition changes in animals fed HSHF diet
Animals consuming the HSHF diet gained body weight as compared with baseline weights (Table 3). The major contributor to changes in body weight was fat deposition. Total lean mass increased by 11% (p<0.01), while total body fat mass increased by 140% (p<0.05, Table 3). Most of the body fat mass was deposited in the trunk regions. Trunk fat mass increased by 187% while lean mass increased by only 15% (Table 3).
Table 3.
Baseline | 33-week | |
---|---|---|
Body weight (kg) | 5.48±1.09 | 6.51±1.77** |
Total body lean mass (g) | 4572±968 | 5076±1295** |
Total body fat mass (g) | 289±264 | 699±696* |
Total body tissue fat (%) | 5.57±3.81 | 10.51±8.99* |
Region fat (%) | 5.33±3.6 | 10.2±8.84* |
Trunk fat mass (g) | 174.67±199.83 | 501±553.75* |
Trunk lean mass (kg) | 2.48±0.54 | 2.85±0.67** |
Limb fat mass (g) | 83.6±54.37 | 140.73±119.49** |
Limb lean mass (kg) | 1.64±0.38 | 1.72±0.549ns |
The means at 33 weeks were compared to baseline by two-tailed paired t-test
p< 0.01 as compared to baseline values,
p< 0.05 as compared to baseline values.
ns= not significant.
Serum lipid profile, and insulin and glucose levels in animals fed HSHF diet
Total cholesterol and LDL-C concentrations increased 3- and 5-fold, respectively, as compared to baseline values (p< 0.01; Table 4). However, serum HDL-C and triglyceride concentrations did not change significantly, although both did increase (p= 0.2, 0.157 respectively; Table 4).
Table 4.
Baseline | 33-week | |
---|---|---|
Total cholesterol (mg/dl) | 122.73±35.73 | 417.60±161.10** |
High-density lipoprotein (mg/dl) | 56.47±13.44 | 62.64±23.18ns |
Low-density lipoprotein (mg/dl) | 57.40±27.46 | 324.8±192.4** |
Triglycerides (mg/dl) | 44.40±13.67 | 77.6±87.93ns |
Serum insulin (μU/ml) | 22.47±17.36 | 76.90±55.37** |
Fasting glucose (mg/dl) | 65.67±9.41 | 72.8 ±21.08ns |
HOMA-IR | 3.34 ± 3.37 | 14 ± 9.9** |
The means at 33 weeks were compared to baseline by two-tailed paired t-test
p< 0.01 as compared to baseline values.
ns= not significant.
After 33 weeks, the animals fed the HSHF diet had greater fasting insulin concentrations (p < 0.01) and greater HOMA-IR (p < 0.01) as compared to baseline values; however, fasting glucose levels were not significantly different between baseline and 33 weeks (Table 4).
Body weight and metabolic variables of HSH-fed animals compared to LSLF-fed animals
Total cholesterol and LDL-C were significantly higher in animals fed the HSHF diet as compared to those fed the LSLF diet, while there were no significant differences in HDL-C, triglyceride and fasting glucose (Table 5).
Table 5.
LSLF (n=10) | HSHF (n=15) | |
---|---|---|
Body weight at baseline | 6.06±1.70 | 5.48±1.77 |
| ||
Body weight at 33 weeks(kg) | 6.36±1.64 | 6.51 ± 1.77 |
| ||
Serum parameters
| ||
Total cholesterol (mg/dl) | 111.45±24.09 | 417.60±161.10* |
High-density lipoprotein (mg/dl) | 53.18±12.96 | 62.64±23.18ns |
Low-density lipoprotein (mg/dl) | 50.09±16.78 | 347.78±177.00* |
Triglyceride (mg/dl) | 40.8±12.48 | 77.6±87.92ns |
Fasting glucose (mg/dl) | 60.27±13.94 | 72.8±21.81ns |
For body weight, the two-way repeated measures ANOVA was used to compare the means of the two diets at baseline and at 33 weeks. Pairwise multiple comparisons were done with the Holm-Sidak method. Body weight of the HSHF diet, week 33 vs baseline, p< 0.001. Body weight of the LSLF diet, week 33 vs baseline p = 0.187.
For the serum parameters the means of the HSHF diet at 33 weeks were compared to those of the LSLF diet by the student’s t-test.
p< 0.05, HSHF compared to LSLF
ns= not significant.
Discussion
Cynomolgus monkeys are native to Southeast Asia, Indonesia, and the Philippines. Fruits and seeds make up a large proportion of their dietary intake, but they are also known to eat birds, lizards, frogs, and fish. Therefore, this species is best considered an opportunistic omnivore. In this study we have shown that cynomolgus monkeys readily tolerate chronic feeding of a diet high in sugar (simple carbohydrates) and fat (from lard, vegetable oil and coconut oil).
Cynomolgus monkeys develop diabetes naturally with changes in plasma lipids and lipoprotein and pancreatic islet lesions similar to those that occur in human diabetics [22, 37, 38]. Lipid and lipoprotein measures are also affected similarly in both cynomolgus monkeys and humans when fed high fat, high fructose diets [19, 33, 34].
In this study, we show that a HSHF diet fed chronically to male cynomolgus monkeys induced serum and body composition changes similar to those found in humans with the metabolic syndrome. After 33 weeks of consuming a HSHF diet, the study animals exhibited markedly elevated serum total cholesterol and LDL-cholesterol and insulin resistance, with no significant changes in either HDL-cholesterol or triglyceride levels. Similar results have also been reported by others in cynomolgus monkeys as well as other nonhuman primates. Suzuki et al. [33] fed female cynomolgus monkeys a high fat, high fructose diet for 28 weeks and at the end of the study found significant increases in serum total cholesterol and LDL-C but no changes in HDL-C and triglyceride. The present study differs from that of Suzuki et al. [33] in that the sex of the animals used was different and that body composition was measured with DXA in the this study. Higgins et al. [15] fed baboons a HSHF diet for 8 weeks and observed increased body fat and triglyceride concentrations, altered adipokine concentrations, and evidence of altered glucose metabolism. It is important to note that the present study lasted much longer than that of Higgins et al. [15] and, used cynomolgus monkeys instead of baboons.
In the HSHF diet the contribution of simple sugars and fat to total caloric intake was 11% and 39% respectively. These figures are comparable to those in a typical American diet. In general the American diet is low in fiber and the contribution of simple sugar and fat to total caloric intake stand at 7% and 33% respectively [2, 7]. The LSLF diet is a grain-based meal, while the HSHF diet has a high percentage of simple sugars, mainly from high fructose corn syrup. The HSHF food was baked and artificial flavors were added to increase palatability. We found that the study animals significantly increased their caloric intake on this diet. Therefore we conclude that this procedure can be used effectively in future studies with cynomolgus monkeys to investigate the physiological effects of increased caloric intake. It was not possible to quantify the energy intake of the age-matched monkeys that were left on the LSLF diet throughout the 33-week period, but our initial 2 weeks of monitoring of food intake indicated that the daily caloric intake of the control group was less than that of the intervention group. We could not determine whether the lipid profile and body composition changes observed were due to increased total caloric intake or increased intake of simple sugars. Another confounding variable is the fact that the two diets were of different caloric densities and therefore the animals on the HSHF diet received less protein and probably less minerals (as a percentage of calories) compared to the LSLF diet. These questions will require further study.
It is important when interpreting the results of this study to note that there are distinct species differences among nonhuman primates in their responsiveness to dietary fat, sugar, and cholesterol challenges. Cynomolgus monkeys in particular respond more strongly to dietary perturbations with regard to fat, sugar, and cholesterol challenge than humans and are generally considered to be the most cholesterol-sensitive nonhuman primate species [20, 27, 32, 35]. Considering the quite pronounced response to dietary challenge shown by cynomolgus monkeys, we are of the view that this species could serve as a relevant model for studying genetic predictors for hyperresponsiveness to dietary fat, sugar and cholesterol such as polymorphisms in specific enzymes or transporters.
Conclusions
The observations from the present study, together with those from other studies, demonstrate that cynomolgus monkeys can be used successfully to study the impact of dietary factors on metabolic processes and could serve as a useful model to further our understanding of the etiology of the metabolic syndrome and its relationship to overall disease risk. Recently, the cynomolgus monkey has been approved for whole-genome sequencing by the NIH National Human Genome Research Institute, and we anticipate that a great deal of new information concerning the genetics and genomics of this species will be available soon. This will provide important opportunities to investigate complex interactions between diet and genetics in the onset and progression the metabolic syndrome.
Acknowledgments
This work was supported by the Voelcker Foundation grants to James N. Mubiru and by NIH grants K01RR025161-01 and P51 RR0139986 from the National Center for Research Resources.
This investigation was conducted in facilities constructed with support from Research Facilities Improvement Program Grant number C06 RR013556 from the National Center for Research Resources, National Institutes of Health.
The authors gratefully acknowledge the technical assistance of Vicki Mattern, Marie Silva, Michaelle Hohmann, Jesse Martinez, Jacob Martinez, Cindy Jo Brenner, Michael Strauss, and Abel Moncivais. We thank Dr. Henry McGill for his critical reading of the manuscript.
References
- 1.Bergen WG, Mersmann HJ. Comparative aspects of lipid metabolism: impact on contemporary research and use of animal models. J Nutr. 2005;135:2499–502. doi: 10.1093/jn/135.11.2499. [DOI] [PubMed] [Google Scholar]
- 2.Block G. Foods contributing to energy intake in the US: data from NHANES III and NHANES 1999–2000. J Food Compost Anal. 2004;17:439–447. [Google Scholar]
- 3.Bouchard C. Genetics and the metabolic syndrome. Int J Obes Relat Metab Disord. 1995;19:S52–9. [PubMed] [Google Scholar]
- 4.Bray GA, Nielsen SJ, Popkin BM. Consumption of high-fructose corn syrup may play a role in the epidemic of obesity. Am J Clin Nutr. 2004;79:537–43. doi: 10.1093/ajcn/79.4.537. [DOI] [PubMed] [Google Scholar]
- 5.Brown WV, Fujioka K, Wilson PW, Woodworth KA. Obesity: why be concerned? Am J Med. 2009;122:S4–11. doi: 10.1016/j.amjmed.2009.01.002. [DOI] [PubMed] [Google Scholar]
- 6.Capasso I, Esposito E, Pentimalli F, Crispo A, Montella M, Grimaldi M, De Marco M, Cavalcanti E, D’Aiuto M, Fucito A, Frasci G, Maurea N, Esposito G, Pedicini T, Vecchione A, D’Aiuto G, Giordano A. Metabolic syndrome affects breast-cancer risk in postmenopausal women: National Cancer Institute of Naples experience. Cancer Biol Ther. 2011;10:1240–3. doi: 10.4161/cbt.10.12.13473. [DOI] [PubMed] [Google Scholar]
- 7.Centers for Disease Control and Prevention, National Center for Health Statistics National Health and Nutrition Examination Survey. Intake of calories and selected nutrients for the United States population, 1999–2000. [internet] [cited 2011 May 13], Available from http://www.cdc.gov/nchs/data/nhanes/databriefs/calories.pdf.
- 8.Cohen DA, Sturm R, Scott M, Farley TA, Bluthenthal R. Not enough fruit and vegetables or too many cookies, candies, salty snacks, and soft drinks? Public Health Rep. 2010;125:88–95. doi: 10.1177/003335491012500112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Cruzen C, Colman RJ. Effects of caloric restriction on cardiovascular aging in non-human primates and humans. Clin Geriatr Med. 2009;25:733–43. doi: 10.1016/j.cger.2009.07.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Deshmukh-Taskar PR, O’Niel CE, Nicklas TA, Yang S-J, Liu Y, Gustat J, Berenson GS. Dietary patterns associated with metabolic syndrome, sociodemographic and lifestyle factors in young adults: the Bogalusa Heart Study. Public Health Nutr. 2009;12:2493–503. doi: 10.1017/S1368980009991261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Ford ES, Giles WH, Dietz WH. Prevalence of metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey. JAMA. 2002;287:356–9. doi: 10.1001/jama.287.3.356. [DOI] [PubMed] [Google Scholar]
- 12.Groop L. Genetics of the metabolic syndrome. Br J Nutr. 2000;83:S39–48. doi: 10.1017/s0007114500000945. [DOI] [PubMed] [Google Scholar]
- 13.Hannah JS, Verdery RB, Bodkin NL, Hansen BC, Le NA, Howard BV. Changes in lipoprotein concentrations during the development of noninsulin-dependent diabetes mellitus in obese rhesus monkeys (Macaca mulatta) J Clin Endocrinol Metab. 1991;72:1067–72. doi: 10.1210/jcem-72-5-1067. [DOI] [PubMed] [Google Scholar]
- 14.Hansen BC, Bodkin NL. Heterogeneity of insulin responses: phases leading to type 2 (non-insulin-dependent) diabetes mellitus in the rhesus monkey. Diabetologia. 1986;29:713–9. doi: 10.1007/BF00870281. [DOI] [PubMed] [Google Scholar]
- 15.Higgins PB, Bastarrachea RA, Lopez-Alvarenga JC, Garcia-Forey M, Proffitt JM, Voruganti VS, Tejero ME, Mattern V, Haack K, Shade RE, Cole SA, Comuzzie AG. Eight week exposure to a high sugar high fat diet results in adiposity gain and alterations in metabolic biomarkers in baboons (Papio hamadryas sp.) Cardiovasc Diabetol. 2010;9:71. doi: 10.1186/1475-2840-9-71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Kaneko R, Sato Y, An Y, Nakagawa M, Kusayanagi S, Kamisago S, Umeda T, Ogawa M, Munakata K, Mizuno K. Clinico-epidemiologic study of the metabolic syndrome and lifestyle factors associated with the risk of colon adenoma and adenocarcinoma. Metabolic syndrome and endometrial cancer risk. Asian Pac J Cancer Prev. 2010;11:975–83. [PubMed] [Google Scholar]
- 17.Katzmarzyk PT, Leon AS, Wilmore JH, Skinner JS, Rao DC, Rankinen T, Bouchard C. Targeting the metabolic syndrome with exercise: evidence from the HERITAGE Family Study. Med Sci Sports Exerc. 2003;35:1703–9. doi: 10.1249/01.MSS.0000089337.73244.9B. [DOI] [PubMed] [Google Scholar]
- 18.Kavanagh K, Fairbanks LA, Bailey JN, Jorgensen MJ, Wilson M, Zhang L, Rudel LL, Wagner JD. Characterization and heritability of obesity and associated risk factors in vervet monkeys. Obesity (Silver Spring) 2007;15:1666–74. doi: 10.1038/oby.2007.199. [DOI] [PubMed] [Google Scholar]
- 19.Lê KA, Faeh D, Stettler R, Ith M, Kreis R, Vermathen P, Boesch C, Ravussin E, Tappy L. A 4-wk high-fructose diet alters lipid metabolism without affecting insulin sensitivity or ectopic lipids in healthy humans. Am J Clin Nutr. 2006;84:1374–9. doi: 10.1093/ajcn/84.6.1374. [DOI] [PubMed] [Google Scholar]
- 20.Marzetta CA, Rudel LL. A species comparison of low density lipoprotein heterogeneity in nonhuman primates fed atherogenic diets. J Lipid Res. 1986;27:753–62. [PubMed] [Google Scholar]
- 21.Mattison JA, Roth GS, Lane MA, Ingram DK. Dietary restriction in aging nonhuman primates. Interdiscip Top Gerontol. 2007;35:137–58. doi: 10.1159/000096560. [DOI] [PubMed] [Google Scholar]
- 22.O’Brien TD, Wagner JD, Litwak KN, Carlson CS, Cefalu WT, Jordan K, Johnson KH, Butler PC. Islet amyloid and islet amyloid polypeptide in cynomolgus macaques (Macaca fascicularis): An animal model of human non-insulin dependent diabetes mellitus. Vet Pathol. 1996;33:479–85. doi: 10.1177/030098589603300501. [DOI] [PubMed] [Google Scholar]
- 23.Pollex RL, Hegele RA. Genetic determinants of the metabolic syndrome. Nat Clin Pract Cardiovasc Med. 2006;3:482–9. doi: 10.1038/ncpcardio0638. [DOI] [PubMed] [Google Scholar]
- 24.Poulsen P, Vaag A, Kyvik K, Beck-Nielsen H. Genetic versus environmental aetiology of the metabolic syndrome among male and female twins. Diabetologia. 2001;44:537–43. doi: 10.1007/s001250051659. [DOI] [PubMed] [Google Scholar]
- 25.Ramsey JJ, Colman RJ, Binkley NC, Christensen JD, Gresl TA, Kemnitz JW, Weindruch R. Dietary restriction and aging in rhesus monkeys: the University of Wisconsin study. Exp Gerontol. 2000;35:1131–49. doi: 10.1016/s0531-5565(00)00166-2. [DOI] [PubMed] [Google Scholar]
- 26.Rosato V, Zucchetto A, Bosetti C, Maso LD, Montella M, Pelucchi C, Negri E, Franceschi S, La Vecchia C. Metabolic syndrome and endometrial cancer risk. Ann Oncol. 2010 Oct 11; doi: 10.1093/annonc/mdq464. [Epub ahead of print] [DOI] [PubMed] [Google Scholar]
- 27.Rudel LL. Genetic factors influence the atherogenic response of lipoproteins to dietary fat and cholesterol in nonhuman primates. J Am Coll Nutr. 1997;16:306–12. doi: 10.1080/07315724.1997.10718691. [DOI] [PubMed] [Google Scholar]
- 28.Shadoan MK, Anthony MS, Rankin SE, Clarkson TB, Wagner JD. Effects of tibolone and conjugated equine estrogens with or without medroxyprogesterone acetate on body composition and fasting carbohydrate measures in surgically postmenopausal monkeys. Metabolism. 2003;52:1085–91. doi: 10.1016/s0026-0495(03)00181-1. [DOI] [PubMed] [Google Scholar]
- 29.Shadoan MK, Kavanagh K, Zhang L, Anthony MS, Wagner JD. Addition of medroxyprogesterone acetate to conjugated equine estrogens results in insulin resistance in adipose tissue. Metabolism. 2007;56:830–7. doi: 10.1016/j.metabol.2007.01.014. [DOI] [PubMed] [Google Scholar]
- 30.Shamekh R, Linden EH, Newcomb JD, Tigno XT, Catherine Jen KL, Pellizzon MA, Hansen BC. Endogenous and diet-induced hypercholesterolemia in nonhuman primates: effects of age, adiposity, and diabetes on lipoprotein profiles. Metabolism. 2011 Mar 2; doi: 10.1016/j.metabol.2010.12.012. [Epub ahead of print] [DOI] [PubMed] [Google Scholar]
- 31.Shively CA, Register TC, Clarkson TB. Social stress, visceral obesity, and coronary artery atherosclerosis: product of a primate adaptation. Am J Primatol. 2009;71:742–51. doi: 10.1002/ajp.20706. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Stucchi AF, Nicolosi RJ, Karge WH, 3rd, Ausman LM, Ordovas JM. Dietary cholesterol affects serum lipids, lipoproteins and LDL metabolism in cynomolgus monkeys in a dose-dependent manner. J Nutr. 1998;128:1104–13. doi: 10.1093/jn/128.7.1104. [DOI] [PubMed] [Google Scholar]
- 33.Suzuki M, Yamamoto D, Suzuki T, Fujii M, Suzuki N, Fujishiro M, Sakurai T, Yamada K. Effect of fructose-rich high-fat diet on glucose sensitivity and atherosclerosis in nonhuman primate. Methods Find Exp Clin Pharmacol. 2006;28:609–17. doi: 10.1358/mf.2006.28.9.1037493. [DOI] [PubMed] [Google Scholar]
- 34.Suzuki M, Yamamoto D, Suzuki T, Fujii M, Suzuki N, Fujishiro M, Sakurai T, Yamada K. High fat and high fructose diet induced intracranial atherosclerosis and enhanced vasoconstrictor responses in non-human primate. Life Sci. 2006;80:200–4. doi: 10.1016/j.lfs.2006.09.002. [DOI] [PubMed] [Google Scholar]
- 35.Turley SD, Spady DK, Dietschy JM. Role of liver in the synthesis of cholesterol and the clearance of low density lipoproteins in the cynomolgus monkey. J Lipid Res. 1995;36:67–79. [PubMed] [Google Scholar]
- 36.Vartanian LR, Schwartz MB, Brownell KD. Effects of soft drink consumption on nutrition and health: a systematic review and meta-analysis. Am J Pub Health. 2007;97:667–75. doi: 10.2105/AJPH.2005.083782. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Wagner JD, Carlson CS, O’Brien TD, Anthony MS, Bullock BC, Cefalu WT. Diabetes mellitus and islet amyloidosis in cynomolgus monkey. Lab Anim Sci. 1996;46:36–41. [PubMed] [Google Scholar]
- 38.Wagner JD, Cline JM, Shadoan MK, Bullock BC, Rankin SE, Cefalu WT. Naturally occurring and experimental diabetes in cynomolgus monkeys: a comparison of carbohydrate and lipid metabolism and islet pathology. Toxicol Pathol. 2001;29:142–8. doi: 10.1080/019262301301418955. [DOI] [PubMed] [Google Scholar]
- 39.Wannamethee SG, Shaper AG, Lennon L, Morris RW. Metabolic syndrome vs Framingham Risk Score for prediction of coronary heart disease, stroke, and type 2 diabetes mellitus. Arch Intern Med. 2005;165:2644–50. doi: 10.1001/archinte.165.22.2644. [DOI] [PubMed] [Google Scholar]