Lab Anim Res.  2018 Dec;34(4):232-238. 10.5625/lar.2018.34.4.232.

A comparison of metabolomic changes in type-1 diabetic C57BL/6N mice originating from different sources

Affiliations
  • 1College of Pharmacy, Pusan National University, Busan, Korea. youngjung@pusan.ac.kr
  • 2College of Pharmacy, Brain Busan 21 Plus Program, Kyungsung University, Busan, Korea.
  • 3Department of Pharmaceutical Engineering, Cheongju University, Cheongju, Korea.
  • 4Department of Health and Exercise Science, Korea National Sport University, Seoul, Korea.
  • 5College of Veterinary Medicine, Kyungpook National University, Daegu, Korea.
  • 6College of Natural Resources & Life Science/Life and Industry Convergence Research Institute, Pusan National University, Miryang, Korea.

Abstract

Animal models have been used to elucidate the pathophysiology of varying diseases and to provide insight into potential targets for therapeutic intervention. Although alternatives to animal testing have been proposed to help overcome potential drawbacks related to animal experiments and avoid ethical issues, their use remains vital for the testing of new drug candidates and to identify the most effective strategies for therapeutic intervention. Particularly, the study of metabolic diseases requires the use of animal models to monitor whole-body physiology. In line with this, the National Institute of Food and Drug Safety Evaluation (NIFDS) in Korea has established their own animal strains to help evaluate both efficacy and safety during new drug development. The objective of this study was to characterize the response of C57BL/6NKorl mice from the NIFDS compared with that of other mice originating from the USA and Japan in a chemical-induced diabetic condition. Multiple low-dose treatments with streptozotocin were used to generate a type-1 diabetic animal model which is closely linked to the known clinical pathology of this disease. There were no significantly different responses observed between the varying streptozotocin-induced type-1 diabetic models tested in this study. When comparing control and diabetic mice, increases in liver weight and disturbances in serum amino acids levels of diabetic mice were most remarkable. Although the relationship between type-1 diabetes and BCAA has not been elucidated in this study, the results, which reveal a characteristic increase in diabetic mice of all origins are considered worthy of further study.

Keyword

Type-1 diabetes; streptozotocin; C57BL/6N; branched-chain amino acids

MeSH Terms

Amino Acids
Amino Acids, Branched-Chain
Animal Experimentation
Animal Testing Alternatives
Animals
Ethics
Japan
Korea
Liver
Metabolic Diseases
Metabolomics*
Mice*
Models, Animal
Pathology, Clinical
Physiology
Streptozocin
Amino Acids
Amino Acids, Branched-Chain
Streptozocin

Figure

  • Figure 1 Changes in (A) body weight, (B) water and (C) food consumption after final administration of streptozotocin. Mice were given daily intraperitoneal injection with vehicle or 50 mg/kg body weight of streptozotocin (STZ) for 5 days. Changes were measured at least once a week after last dosing of streptozotocin during 4 weeks.

  • Figure 2 Changes of (A) serum glucose level, and relative ratio of (B) liver-to-body and (C) kidney-to-body weight in streptozotocin-treated mice. Mice were given daily intraperitoneal injection with vehicle or 50 mg/kg body weight of streptozotocin (STZ) for 5 days. Changes were examined 4 weeks after final administration. ***Significantly different from the corresponding vehicle-treated mice (ANOVA followed by Newman-Keuls multiple range test, P<0.001, respectively).

  • Figure 3 Effect of streptozotocin on the activities of (A) ALT and (B) AST. Mice were given daily intraperitoneal injection with vehicle or 50 mg/kg body weight of streptozotocin (STZ) for 5 days. Activities of ALT and AST were examined 4 weeks after final administration. *,**Significantly different from the corresponding vehicle-treated mice (ANOVA followed by Newman-Keuls multiple range test, P<0.05, 0.01, respectively).

  • Figure 4 Changes in (A) total cholesterol, (B) HDL-cholesterol, and (C) LDL-cholesterol in streptozotocin-treated mice. Mice were given daily intraperitoneal injection with vehicle or 50 mg/kg body weight of streptozotocin (STZ) for 5 days. Changes were examined 4 weeks after final administration. *Significantly different from the corresponding vehicle-treated mice (ANOVA followed by Newman-Keuls multiple range test, P<0.05, respectively).

  • Figure 5 Heat map of changes in serum metabolites between vehicle- and streptozotocin (STZ)-treated mice. Mice were given daily intraperitoneal injection with vehicle or 50 mg/kg body weight of streptozotocin (STZ) for 5 days. Serum metabolites were determined 4 weeks after final administration. Each column represents one mouse sample and each row represents a different metabolite.


Reference

1. Maritim AC, Sanders RA, Watkins JB 3rd. Diabetes, oxidative stress, and antioxidants: a review. J Biochem Mol Toxicol. 2003; 17(1):24–38. PMID: 12616644.
Article
2. American Diabetes Association. Diagnosis and Classification of Diabetes Mellitus. Diabetes Care. 2014; 37(Suppl 1):S81–S90. PMID: 24357215.
3. Chao KC, Chao KF, Fu YS, Liu SH. Islet-like clusters derived from mesenchymal stem cells in Wharton's Jelly of the human umbilical cord for transplantation to control type 1 diabetes. PLoS One. 2008; 3(1):e1451. PMID: 18197261.
Article
4. Diabetes Prevention Trial--Type 1 Diabetes Study Group. Effects of insulin in relatives of patients with type 1 diabetes mellitus. N Engl J Med. 2002; 346(22):1685–1691. PMID: 12037147.
5. van Belle TL, Coppieters KT, von Herrath MG. Type 1 diabetes: etiology, immunology, and therapeutic strategies. Physiol Rev. 2011; 91(1):79–118. PMID: 21248163.
Article
6. Knip M, Veijola R, Virtanen SM, Hyöty H, Vaarala O, Akerblom HK. Environmental triggers and determinants of type 1 diabetes. Diabetes. 2005; 54(Suppl 2):S125–S136. PMID: 16306330.
Article
7. Skyler JS, Cefalu WT, Kourides IA, Landschulz WH, Balagtas CC, Cheng SL, Gelfand RA. Efficacy of inhaled human insulin in type 1 diabetes mellitus: a randomised proof-of-concept study. Lancet. 2001; 357(9253):331–335. PMID: 11210993.
Article
8. Polat K, Güneş S. An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease. Digital Signal Processing. 2007; 17(4):702–710.
Article
9. Oelze M, Knorr M, Schuhmacher S, Heeren T, Otto C, Schulz E, Reifenberg K, Wenzel P, Münzel T, Daiber A. Vascular dysfunction in streptozotocin-induced experimental diabetes strictly depends on insulin deficiency. J Vasc Res. 2011; 48(4):275–284. PMID: 21273782.
Article
10. Lenzen S. The mechanisms of alloxan- and streptozotocin-induced diabetes. Diabetologia. 2008; 51(2):216–226. PMID: 18087688.
Article
11. Szkudelski T. The mechanism of alloxan and streptozotocin action in B cells of the rat pancreas. Physiol Res. 2001; 50(6):537–546. PMID: 11829314.
12. Eleazu CO, Eleazu KC, Chukwuma S, Essien UN. Review of the mechanism of cell death resulting from streptozotocin challenge in experimental animals, its practical use and potential risk to humans. J Diabetes Metab Disord. 2013; 12(1):60. PMID: 24364898.
Article
13. Kolb H. Mouse models of insulin dependent diabetes: low-dose streptozocin-induced diabetes and nonobese diabetic (NOD) mice. Diabetes Metab Rev. 1987; 3(3):751–778. PMID: 2956075.
Article
14. Like AA, Rossini AA. Streptozotocin-induced pancreatic insulitis: new model of diabetes mellitus. Science. 1976; 193(4251):415–417. PMID: 180605.
Article
15. Wu KK, Huan Y. Diabetic atherosclerosis mouse models. Atherosclerosis. 2007; 191(2):241–249. PMID: 16979174.
Article
16. Weide LG, Lacy PE. Low-dose streptozocin-induced autoimmune diabetes in islet transplantation model. Diabetes. 1991; 40(9):1157–1162. PMID: 1834505.
Article
17. REITMAN S, FRANKEL S. A colorimetric method for the determination of serum glutamic oxalacetic and glutamic pyruvic transaminases. Am J Clin Pathol. 1957; 28(1):56–63. PMID: 13458125.
Article
18. Motyl K, McCabe LR. Streptozotocin, type I diabetes severity and bone. Biol Proced Online. 2009; 11:296–315. PMID: 19495918.
Article
19. Fontaine DA, Davis DB. Attention to Background Strain Is Essential for Metabolic Research: C57BL/6 and the International Knockout Mouse Consortium. Diabetes. 2016; 65(1):25–33. PMID: 26696638.
Article
20. Collins S, Martin TL, Surwit RS, Robidoux J. Genetic vulnerability to diet-induced obesity in the C57BL/6J mouse: physiological and molecular characteristics. Physiol Behav. 2004; 81(2):243–248. PMID: 15159170.
Article
21. Winzell MS, Ahrén B. The high-fat diet-fed mouse: a model for studying mechanisms and treatment of impaired glucose tolerance and type 2 diabetes. Diabetes. 2004; 53(Suppl 3):S215–S219. PMID: 15561913.
22. Mashimo T, Serikawa T. Rat resources in biomedical research. Curr Pharm Biotechnol. 2009; 10(2):214–220. PMID: 19199954.
Article
23. Croy BA. The 1999 Reginald Thomson Lecture. Custom-built mice: unique discovery tools in biomedical research. Can Vet J. 2000; 41(3):201–206. PMID: 10738597.
24. Ardaillou R. [Transgenic mice: a major advance in biomedical research]. Bull Acad Natl Med. 2009; 193(8):1773–1782. PMID: 20669542.
25. Sundberg JP, Schofield PN. Commentary: mouse genetic nomenclature. Standardization of strain, gene, and protein symbols. Vet Pathol. 2010; 47(6):1100–1104. PMID: 20685919.
26. Junod A, Lambert AE, Stauffacher W, Renold AE. Diabetogenic action of streptozotocin: relationship of dose to metabolic response. J Clin Invest. 1969; 48(11):2129–2139. PMID: 4241908.
Article
27. Junod A, Lambert AE, Orci L, Pictet R, Gonet AE, Renold AE. Studies of the diabetogenic action of streptozotocin. Proc Soc Exp Biol Med. 1967; 126(1):201–205. PMID: 4864021.
Article
28. Furman BL. Streptozotocin-Induced Diabetic Models in Mice and Rats. Curr Protoc Pharmacol. 2015; 70:5.47.1–5.47.20.
Article
29. Habibuddin M, Daghriri HA, Humaira T, Al Qahtani MS, Hefzi AA. Antidiabetic effect of alcoholic extract of Caralluma sinaica L. on streptozotocin-induced diabetic rabbits. J Ethnopharmacol. 2008; 117(2):215–220. PMID: 18359177.
Article
30. Lee SI, Kim JS, Oh SH, Park KY, Lee HG, Kim SD. Antihyperglycemic effect of Fomitopsis pinicola extracts in streptozotocin-induced diabetic rats. J Med Food. 2008; 11(3):518–524. PMID: 18800901.
Article
31. Merzouk H, Madani S, Chabane Sari D, Prost J, Bouchenak M, Belleville J. Time course of changes in serum glucose, insulin, lipids and tissue lipase activities in macrosomic offspring of rats with streptozotocin-induced diabetes. Clin Sci (Lond). 2000; 98(1):21–30. PMID: 10600655.
Article
32. Ohno T, Horio F, Tanaka S, Terada M, Namikawa T, Kitoh J. Fatty liver and hyperlipidemia in IDDM (insulin-dependent diabetes mellitus) of streptozotocin-treated shrews. Life Sci. 2000; 66(2):125–131. PMID: 10666008.
Article
33. Grill V, Björkman O, Gutniak M, Lindqvist M. Brain uptake and release of amino acids in nondiabetic and insulin-dependent diabetic subjects: important role of glutamine release for nitrogen balance. Metabolism. 1992; 41(1):28–32. PMID: 1538641.
Article
34. Newgard CB, An J, Bain JR, Muehlbauer MJ, Stevens RD, Lien LF, Haqq AM, Shah SH, Arlotto M, Slentz CA, Rochon J, Gallup D, Ilkayeva O, Wenner BR, Yancy WS Jr, Eisenson H, Musante G, Surwit RS, Millington DS, Butler MD, Svetkey LP. A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance. Cell Metab. 2009; 9(4):311–326. PMID: 19356713.
Article
35. Shah SH, Crosslin DR, Haynes CS, Nelson S, Turer CB, Stevens RD, Muehlbauer MJ, Wenner BR, Bain JR, Laferrère B, Gorroochurn P, Teixeira J, Brantley PJ, Stevens VJ, Hollis JF, Appel LJ, Lien LF, Batch B, Newgard CB, Svetkey LP. Branched-chain amino acid levels are associated with improvement in insulin resistance with weight loss. Diabetologia. 2012; 55(2):321–330. PMID: 22065088.
Article
36. McCormack SE, Shaham O, McCarthy MA, Deik AA, Wang TJ, Gerszten RE, Clish CB, Mootha VK, Grinspoon SK, Fleischman A. Circulating branched-chain amino acid concentrations are associated with obesity and future insulin resistance in children and adolescents. Pediatr Obes. 2013; 8(1):52–61. PMID: 22961720.
Article
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