High-fat diet-induced obesity Rat model: a comparison between Wistar and Sprague-Dawley Rat

Adipocyte

Volumn 5, Issue 1, 2016, Pages 11-21

  Marques, Cláudia ^a,b   Meireles, Manuela ^a   Norberto, Sónia ^a   Leite, Joana ^a   Freitas, Joana ^a,c   Pestana, Diogo ^a,b   Faria, Ana ^a,b   Calhau, Conceição ^a,b  

^a University of Porto   (Portugal)

^b UNIVERSITY OF PORTO   (Portugal)

^c UNIVERSITY OF TRÁS OS MONTES AND ALTO DOURO   (Portugal)

Author keywords

animal models; diet induced obesity; high fat diet; metabolic syndrome; microbiota; obesity

Indexed keywords

ADIPONECTIN; ALANINE AMINOTRANSFERASE; ALKALINE PHOSPHATASE; ASPARTATE AMINOTRANSFERASE; CREATININE; LEPTIN; SERUM ALBUMIN; TRIACYLGLYCEROL; UREA; URIC ACID;

ADIPOCYTE; ANIMAL MODEL; ANIMAL TISSUE; ARTICLE; BIOCHEMICAL ANALYSIS; BLOOD LEVEL; BODY FAT; CHOLESTEROL BLOOD LEVEL; CONTROLLED STUDY; ENERGY BALANCE; GENE SEQUENCE; GLYCEMIC CONTROL; INTESTINE FLORA; LIPID DIET; MALE; METABOLIC SYNDROME X; NONHUMAN; OBESITY; ORAL GLUCOSE TOLERANCE TEST; RAT; REAL TIME POLYMERASE CHAIN REACTION; SYSTOLIC BLOOD PRESSURE; URINALYSIS; WEIGHT GAIN;

EID: 85063828922     PISSN: 21623945     EISSN: 2162397X     Source Type: Journal    
DOI: 10.1080/21623945.2015.1061723     Document Type: Article

References (42)

1. K.G.Alberti, R.H.Eckel, S.M.Grundy, P.Z.Zimmet, J.I.Cleeman, K.A.Donato, J.C.Fruchart, W.P.James, C.M.Loria, S.C.Smith, Jr. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 2009; 120:1640-5; PMID:19805654; http:dx.doi.org/10.1161/CIRCULATIONAHA.109.192644
2. M.Ng, T.Fleming, M.Robinson, B.Thomson, N.Graetz, C.Margono, E.C.Mullany, S.Biryukov, C.Abbafati, S.F.Abera, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2014; 384:766-81; PMID:24880830; http:dx.doi.org/10.1016/S0140-6736(14)60460-8
3. S.K.Panchal, L.Brown. Rodent models for metabolic syndrome research. J Biomed Biotech 2011; 2011:351982; PMID:21253582; http:dx.doi.org/10.1155/2011/351982
4. C.Nilsson, K.Raun, F.F.Yan, M.O.Larsen, M.Tang-Christensen. Laboratory animals as surrogate models of human obesity. Acta Pharmacol Sinica 2012; 33:173-81; PMID:22301857; http:dx.doi.org/10.1038/aps.2011.203
5. V.S.Malik, W.C.Willett, F.B.Hu. Global obesity: trends, risk factors and policy implications. Nat Rev Endocrinol 2013; 9:13-27; PMID:23165161; http:dx.doi.org/10.1038/nrendo.2012.199
6. R.Buettner, J.Scholmerich, L.C.Bollheimer. High-fat diets: modeling the metabolic disorders of human obesity in rodents. Obesity (Silver Spring) 2007; 15:798-808; PMID:17426312; http:dx.doi.org/10.1038/oby.2007.608
7. E.P.Davidson, L.J.Coppey, B.Dake, M.A.Yorek. Effect of treatment of sprague dawley rats with AVE7688, enalapril, or candoxatril on diet-induced obesity. J Obesity 2011; 2011:pii: 686952; PMID:20847891
8. I.Briaud, C.L.Kelpe, L.M.Johnson, P.O.Tran, V.Poitout. Differential effects of hyperlipidemia on insulin secretion in islets of langerhans from hyperglycemic versus normoglycemic rats. Diabetes 2002; 51:662-8; PMID: 11872664; http:dx.doi.org/10.2337/diabetes.51.3.662
9. M.D.Klok, S.Jakobsdottir, M.L.Drent. The role of leptin and ghrelin in the regulation of food intake and body weight in humans: a review. Obesity Rev 2007; 8:21-34; PMID:17212793; http:dx.doi.org/10.1111/j.1467-789X.2006.00270.x
10. S.Klein, S.W.Coppack, V.Mohamed-Ali, M.Landt. Adipose tissue leptin production and plasma leptin kinetics in humans. Diabetes 1996; 45:984-7; PMID:8666153; http:dx.doi.org/10.2337/diab.45.7.984
11. R.C.Frederich, A.Hamann, S.Anderson, B.Lollmann, B.B.Lowell, J.S.Flier. Leptin levels reflect body lipid content in mice: evidence for diet-induced resistance to leptin action. Nat Med 1995; 1:1311-4; PMID:7489415; http:dx.doi.org/10.1038/nm1295-1311
12. G.de Lartigue, C.C.Ronveaux, H.E.Raybould. Deletion of leptin signaling in vagal afferent neurons results in hyperphagia and obesity. Mol Metab 2014; 3:595-607; PMID:25161883; http:dx.doi.org/10.1016/j.molmet.2014.06003
13. E.P.Davidson, L.J.Coppey, N.A.Calcutt, C.L.Oltman, M.A.Yorek. Diet-induced obesity in Sprague-Dawley rats causes microvascular and neural dysfunction. Diab Metab Res Rev 2010; 26:306-18
14. M.P.Scheid, G.Sweeney. The role of adiponectin signaling in metabolic syndrome and cancer. Rev Endocr Metab Disord 2014; 15:157-67; PMID:24019064; http:dx.doi.org/10.1007/s11154-013-9265-5
15. G.Hubner, C.Voss. [Protein fractions and total proteins in serum of rats on high fat diets]. Die Nahrung 1978; 22:85-8; PMID:80747; http:dx.doi.org/10.1002/food.19780220113
16. G.Schreiber, A.R.Aldred, T.Thomas, H.E.Birch, P.W.Dickson, G.F.Tu, P.C.Heinrich, W.Northemann, G.J.Howlett, F.A.de Jong, et al. Levels of messenger ribonucleic acids for plasma proteins in rat liver during acute experimental inflammation. Inflammation 1986; 10:59-66; PMID:2420720; http:dx.doi.org/10.1007/BF00916041
17. P.J.Ebenezer, N.Mariappan, C.M.Elks, M.Haque, J.Francis. Diet-induced renal changes in Zucker rats are ameliorated by the superoxide dismutase mimetic TEMPOL. Obesity (Silver Spring) 2009; 17:1994-2002; PMID:19424163; http:dx.doi.org/10.1038/oby.2009.137
18. M.Carmiel-Haggai, A.I.Cederbaum, N.Nieto. A high-fat diet leads to the progression of non-alcoholic fatty liver disease in obese rats. FASEB J 2005; 19:136-8; PMID:15522905
19. S.K.Panchal, H.Poudyal, A.Iyer, R.Nazer, M.A.Alam, V.Diwan, K.Kauter, C.Sernia, F.Campbell, L.Ward, et al. High-carbohydrate, high-fat diet-induced metabolic syndrome and cardiovascular remodeling in rats. J Cardiovasc Pharmacol 2011; 57:611-24; PMID:21572266; http:dx.doi.org/10.1097/FJC.0b013e3181feb90a
20. R.H.Eckel, S.M.Grundy, P.Z.Zimmet. The metabolic syndrome. Lancet 2005; 365:1415-28; PMID:15836891; http:dx.doi.org/10.1016/S0140-6736(05)66378-7
21. A.D.Dobrian, M.J.Davies, R.L.Prewitt, T.J.Lauterio. Development of hypertension in a rat model of diet-induced obesity. Hypertension 2000; 35:1009-15; PMID:10775577; http:dx.doi.org/10.1161/01.HYP.35.4.1009
22. A.D.Dobrian, S.D.Schriver, T.Lynch, R.L.Prewitt. Effect of salt on hypertension and oxidative stress in a rat model of diet-induced obesity. Am J Physiol Renal Physiol 2003; 285:F619-28; PMID:12799306; http:dx.doi.org/10.1152/ajprenal.00388.2002
23. E.Angelakis, F.Armougom, M.Million, D.Raoult. The relationship between gut microbiota and weight gain in humans. Future Microbiol 2012; 7:91-109; PMID:22191449; http:dx.doi.org/10.2217/fmb.11.142
24. S.F.Clarke, E.F.Murphy, K.Nilaweera, P.R.Ross, F.Shanahan, P.W.O'Toole, P.D.Cotter. The gut microbiota and its relationship to diet and obesity: new insights. Gut Microbes 2012; 3:186-202; PMID:22572830; http:dx.doi.org/10.4161/gmic.20168
25. H.K.Li, Y.Ni, M.M.Su, Y.P.Qiu, M.M.Zhou, M.F.Qiu, A.H.Zhao, L.P.Zhao, W.Jia. Pharmacometabonomic phenotyping reveals different responses to xenobiotic intervention in rats. J Proteome Res 2007; 6:1364-70; PMID:17311441; http:dx.doi.org/10.1021/pr060513q
26. M.R.Bomhof, D.C.Saha, D.T.Reid, H.A.Paul, R.A.Reimer. Combined effects of oligofructose and Bifidobacterium animalis on gut microbiota and glycemia in obese rats. Obesity (Silver Spring) 2014; 22:763-71; PMID:24124012; http:dx.doi.org/10.1002/oby.20632
27. E.M.Dewulf, P.D.Cani, S.P.Claus, S.Fuentes, P.G.Puylaert, A.M.Neyrinck, L.B.Bindels, W.M.de Vos, G.R.Gibson, J.P.Thissen, et al. Insight into the prebiotic concept: lessons from an exploratory, double blind intervention study with inulin-type fructans in obese women. Gut 2013; 62:1112-21; PMID:23135760; http:dx.doi.org/10.1136/gutjnl-2012-303304
28. J.H.Wang, S.Bose, G.C.Kim, S.U.Hong, J.H.Kim, J.E.Kim, H.Kim. Flos Lonicera ameliorates obesity and associated endotoxemia in rats through modulation of gut permeability and intestinal microbiota. PloS one 2014; 9:e86117; PMID:24475077; http:dx.doi.org/10.1371/journal.pone.0086117
29. F.J.Verdam, S.Fuentes, C.de Jonge, E.G.Zoetendal, R.Erbil, J.W.Greve, W.A.Buurman, W.M.de Vos, S.S.Rensen. Human intestinal microbiota composition is associated with local and systemic inflammation in obesity. Obesity (Silver Spring) 2013; 21:E607-15; PMID:23526699; http:dx.doi.org/10.1002/oby.20466
30. L.Bervoets, K.Van Hoorenbeeck, I.Kortleven, C.Van Noten, N.Hens, C.Vael, H.Goossens, K.N.Desager, V.Vankerckhoven. Differences in gut microbiota composition between obese and lean children: a cross-sectional study. Gut Pathog 2013; 5:10; PMID:23631345; http:dx.doi.org/10.1186/1757-4749-5-10
31. T.F.S.Teixeira, L.M.Grzeskowiak, S.Salminen, K.Laitinen, J.Bressan, M.D.G.Peluzio. Faecal levels of Bifidobacterium and Clostridium coccoides but not plasma lipopolysaccharide are inversely related to insulin and HOMA index in women. Clin Nutr 2013; 32:1017-22; PMID:23538004; http:dx.doi.org/10.1016/j.clnu.2013.02.008
32. P.D.Cani, R.Bibiloni, C.Knauf, A.Waget, A.M.Neyrinck, N.M.Delzenne, R.Burcelin. Changes in gut microbiota control metabolic endotoxemia-induced inflammation in high-fat diet-induced obesity and diabetes in mice. Diabetes 2008; 57:1470-81; PMID:18305141; http:dx.doi.org/10.2337/db07-1403
33. P.D.Cani, J.Amar, M.A.Iglesias, M.Poggi, C.Knauf, D.Bastelica, A.M.Neyrinck, F.Fava, K.M.Tuohy, C.Chabo, et al. Metabolic endotoxemia initiates obesity and insulin resistance. Diabetes 2007; 56:1761-72; PMID:17456850; http:dx.doi.org/10.2337/db06-1491
34. F.Laugerette, M.Alligier, J.P.Bastard, J.Drai, E.Chanseaume, S.Lambert-Porcheron, M.Laville, B.Morio, H.Vidal, M.C.Michalski. Overfeeding increases postprandial endotoxemia in men: Inflammatory outcome may depend on LPS transporters LBP and sCD14. Mol Nutr Food Res 2014; 58:1513-8; PMID:24687809; http:dx.doi.org/10.1002/mnfr.201400044
35. K.Rutter, L.Hennoste, L.C.Ward, B.H.Cornish, B.J.Thomas. Bioelectrical impedance analysis for the estimation of body composition in rats. Lab Anim 1998; 32:65-71; PMID: 9481696; http:dx.doi.org/10.1258/002367798780559356
36. R.Muniyappa, H.Chen, R.H.Muzumdar, F.H.Einstein, X.Yan, L.Q.Yue, N.Barzilai, M.J.Quon. Comparison between surrogate indexes of insulin sensitivity/resistance and hyperinsulinemic euglycemic clamp estimates in rats. Am J Physiol Endocrinol Metab 2009; 297:E1023-9; PMID:19706785; http:dx.doi.org/10.1152/ajpendo.00397.2009
37. J.Ibrahim, B.C.Berk, A.D.Hughes. Comparison of simultaneous measurements of blood pressure by tail-cuff and carotid arterial methods in conscious spontaneously hypertensive and Wistar-Kyoto rats. Clin Exp Hypertens 2006; 28:57-72; PMID:16443565; http:dx.doi.org/10.1080/10641960500386817
38. M.I.Queipo-Ortuno, L.M.Seoane, M.Murri, M.Pardo, J.M.Gomez-Zumaquero, F.Cardona, F.Casanueva, F.J.Tinahones. Gut microbiota composition in male rat models under different nutritional status and physical activity and its association with serum leptin and ghrelin levels. PloS One 2013; 8:e65465; PMID:23724144; http:dx.doi.org/10.1371/journal.pone.0065465
39. J.M.Delroisse, A.L.Boulvin, I.Parmentier, R.D.Dauphin, M.Vandenbol, D.Portetelle. Quantification of Bifidobacterium spp. and Lactobacillus spp. in rat fecal samples by real-time PCR. Microbiol Res 2008; 163:663-70; PMID:19216105; http:dx.doi.org/10.1016/j.micres.2006.09.004
40. T.Rinttila, A.Kassinen, E.Malinen, L.Krogius, A.Palva. Development of an extensive set of 16S rDNA-targeted primers for quantification of pathogenic and indigenous bacteria in faecal samples by real-time PCR. J Appl Microbiol 2004; 97:1166-77; PMID: 15546407; http:dx.doi.org/10.1111/j.1365-2672.2004.02409.x
41. T.Matsuki, K.Watanabe, J.Fujimoto, T.Takada, R.Tanaka. Use of 16S rRNA gene-targeted group-specific primers for real-time PCR analysis of predominant bacteria in human feces. Appl Environ Microbiol 2004; 70:7220-8; PMID:15574920; http:dx.doi.org/10.1128/AEM.70.12.7220-7228.2004
42. T.Matsuki, K.Watanabe, J.Fujimoto, Y.Miyamoto, T.Takada, K.Matsumoto, H.Oyaizu, R.Tanaka. Development of 16S rRNA-gene-targeted group-specific primers for the detection and identification of predominant bacteria in human feces. Appl Environ Microbiol 2002; 68:5445-51; PMID:12406736; http:dx.doi.org/10.1128/AEM.68.11.5445-5451.2002