Fully-automated, high-throughput micro-computed tomography analysis of body composition enables therapeutic efficacy monitoring in preclinical models

International Journal of Obesity

Volumn 39, Issue 11, 2015, Pages 1630-1637

  Wyatt, S K ^a   Barck, K H ^a   Kates, L ^a   Zavala Solorio, J ^a   Ross, J ^a   Kolumam, G ^a   Sonoda, J ^a   Carano, R A D ^a  

^a GENENTECH INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LIPID; TRIACYLGLYCEROL;

ADIPOSE TISSUE; ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; AUTOMATION; BODY COMPOSITION; CHEMICAL ANALYSIS; COLORIMETRY; COMPUTED TOMOGRAPHY SCANNER; CONTROLLED STUDY; DIET INDUCED OBESITY; EX VIVO STUDY; IMAGE ANALYSIS; LIPID LIVER LEVEL; MALE; MICRO-COMPUTED TOMOGRAPHY; MONITORING; MOUSE; NON INVASIVE MEASUREMENT; NONHUMAN; OBESITY; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; VALIDATION STUDY; ANIMAL; COMPUTER ASSISTED DIAGNOSIS; DISEASE MODEL; MOUSE MUTANT; PATHOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ADIPOSE TISSUE; ANIMALS; BODY COMPOSITION; DISEASE MODELS, ANIMAL; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MICE; MICE, OBESE; OBESITY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; X-RAY MICROTOMOGRAPHY;

EID: 84947023259     PISSN: 03070565     EISSN: 14765497     Source Type: Journal    
DOI: 10.1038/ijo.2015.113     Document Type: Article

References (37)

1. Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA. 2014; 311: 806-814.
2. Centers for Disease Control and Prevention. National Diabetes Fact Sheet: National Estimates and General Information on Diabetes and Prediabetes in the United States. U.S. Department of Health and Human Services, Centers for Disease Control and Prevention: Atlanta, GA, USA, 2011.
3. Collins S, Martin TL, Surwit RS, Robidoux J. Genetic vulnerability to diet-induced obesity in the C57BL/6 J mouse: physiological and molecular characteristics. Physiol Behav. 2004; 81: 243-248.
4. Tinsley FC, Taicher GZ, Heiman ML. Evaluation of a quantitative magnetic resonance method for mouse whole body composition analysis. Obes Res. 2004; 12: 150-160.
5. Xie D, Cheng H, Hamrick M, Zhong Q, Ding KH, Correa D, et al. Glucose-dependent insulinotropic polypeptide receptor knockout mice have altered bone turnover. Bone. 2005; 37: 759-769.
6. Metzinger MN, Miramontes B, Zhou P, Liu Y, Chapman S, Sun L, et al. Correlation of X-ray computed tomography with quantitative nuclear magnetic resonance methods for pre-clinical measurement of adipose and lean tissues in living mice. Sensors (Basel) 2014; 14: 18526-18542.
7. So PW, Yu WS, Kuo YT, Wasserfall C, Goldstone AP, Bell JD, et al. Impact of resistant starch on body fat patterning and central appetite regulation. PLoS One. 2007; 2: e1309.
8. Changani KK, Nicholson A, White A, Latcham JK, Reid DG, Clapham JC A longitudinal magnetic resonance imaging (MRI) study of differences in abdominal fat distribution between normal mice, and lean overexpressers of mitochondrial uncoupling protein-3 (UCP-3). Diabetes Obes Metab. 2003; 5: 99-105.
9. Granton PV, Norley CJ, Umoh J, Turley EA, Frier BC, Noble EG, et al. Rapid in vivo whole body composition of rats using cone beam muCT. J Appl Physiol (1985) 2010; 109: 1162-1169.
10. Luu YK, Lublinsky S, Ozcivici E, Capilla E, Pessin JE, Rubin CT, et al. In vivo quantification of subcutaneous and visceral adiposity by micro-computed tomography in a small animal model. Med Eng Phys. 2009; 31: 34-41.
11. Liu X, Harada N, Yamane S, Kitajima L, Uchida S, Hamasaki A, et al. Effects of long-Term dipeptidyl peptidase-IV inhibition on body composition and glucose tolerance in high fat diet-fed mice. Life Sci. 2009; 84: 876-881.
12. Rubin CT, Capilla E, Luu YK, Busa B, Crawford H, Nolan DJ, et al. Adipogenesis is inhibited by brief, daily exposure to high-frequency, extremely low-magnitude mechanical signals. Proc Natl Acad Sci USA. 2007; 104: 17879-17884.
13. Bastie CC, Zong H, Xu J, Busa B, Judex S, Kurland IJ, et al. Integrative metabolic regulation of peripheral tissue fatty acid oxidation by the SRC kinase family member Fyn. Cell Metab. 2007; 5: 371-381.
14. Beaucage KL, Xiao A, Pollmann SI, Grol MW, Beach RJ, Holdsworth DW, et al. Loss of P2X7 nucleotide receptor function leads to abnormal fat distribution in mice. Purinergic Signal. 2014; 10: 291-304.
15. Fan W, Yanase T, Nomura M, Okabe T, Goto K, Sato T, et al. Androgen receptor null male mice develop late-onset obesity caused by decreased energy expenditure and lipolytic activity but show normal insulin sensitivity with high adiponectin secretion. Diabetes. 2005; 54: 1000-1008.
16. Chen Z, Holland W, Shelton JM, Ali A, Zhan X, Won S, et al. Mutation of mouse Samd4 causes leanness, myopathy, uncoupled mitochondrial respiration, and dysregulated mTORC1 signaling. Proc Natl Acad Sci USA. 2014; 111: 7367-7372.
17. Ravinet Trillou C, Arnone M, De lgorge C, Gonalons N, Keane P, Maffrand JP, et al. Anti-obesity effect of SR141716, a CB1 receptor antagonist, in diet-induced obese mice. Am J Physiol Regul Integr Comp Physiol. 2003; 284: R345-R353.
18. Wu AL, Feng B, Chen MZ, Kolumam G, Zavala-Solorio J, Wyatt SK, et al. Antibody-mediated activation of FGFR1 induces FGF23 production and hypophosphatemia. PLoS One. 2013; 8: e57322.
19. Wu AL, Kolumam G, Stawicki S, Chen Y, Li J, Zavala-Solorio J, et al. Amelioration of type 2 diabetes by antibody-mediated activation of fibroblast growth factor receptor 1. Sci Transl Med. 2011; 3: 113ra126.
20. Jain A. Fundamentals of Digital Image Processing. Prentice-Hall: Englewood Cliffs, NJ, USA, 1989.
21. Russ JC. Processing Binary Images. In: The Image Processing Handbook, 2nd edn, CRC Press, Inc.: Boca Raton, FL, USA, 1995. pp 433-439.
22. Ross R, Leger L, Guardo R, De Guise J, Pike BG. Adipose tissue volume measured by magnetic resonance imaging and computerized tomography in rats. J Appl Physiol (1985) 1991; 70: 2164-2172.
23. AOAC International. AOAC Official Method 923.03 (Modified). In: Horwitz W (ed). Official Methods of Analysis of AOAC International, 17th edn. AOAC International: Gaithersburg, MD, USA, 2000.
24. AOAC International. AOAC Official Method 968.06, 992.15 (Modified). In: Horwitz W (ed). Official Methods of Analysis of AOAC International, 17th edn. AOAC International: Gaithersburg, MD, USA, 2000.
25. AOAC International. AOAC Official Method 950.46 (Modified). In: Horwitz W (ed). Official Methods of Analysis of AOAC International, 17th edn. AOAC International: Gaithersburg, MD, USA, 2000.
26. AOAC International. AOAC Official Methods 948.22 and 960.39 (Modified). In: Horwitz W (ed): Official Methods of Analysis of AOAC International, 17th edn. AOAC International: Gaithersburg, MD, USA, 2000.
27. Nagy TR, Clair AL. Precision and accuracy of dual-energy X-ray absorptiometry for determining in vivo body composition of mice. Obes Res. 2000; 8: 392-398.
28. Kodama Y, Ng CS, Wu TT, Ayers GD, Curley SA, Abdalla EK, et al. Comparison of CT methods for determining the fat content of the liver. AJR Am J Roentgenol. 2007; 188: 1307-1312.
29. Lubura M, Hesse D, Neumann N, Scherneck S, Wiedmer P, Schurmann A. Non-invasive quantification of white and brown adipose tissues and liver fat content by computed tomography in mice. PLoS One. 2012; 7: e37026.
30. Judex S, Luu YK, Ozcivici E, Adler B, Lublinsky S, Rubin CT. Quantification of adiposity in small rodents using micro-CT. Methods. 2010; 50: 14-19.
31. Lublinsky S, Luu YK, Rubin CT, Judex S. Automated separation of visceral and subcutaneous adiposity in in vivo microcomputed tomographies of mice. J Digit Imaging. 2009; 22: 222-231.
32. Fong TM, Heymsfield SB. Cannabinoid-1 receptor inverse agonists: current understanding of mechanism of action and unanswered questions. Int J Obes (Lond) 2009; 33: 947-955.
33. Coskun T, Bina HA, Schneider MA, Dunbar JD, Hu CC, Chen Y, et al. Fibroblast growth factor 21 corrects obesity in mice. Endocrinology. 2008; 149: 6018-6027.
34. Xu J, Lloyd DJ, Hale C, Stanislaus S, Chen M, Sivits G, et al. Fibroblast growth factor reverses hepatic steatosis, increases energy expenditure, and improves insulin sensitivity in diet-induced obese mice. Diabetes. 2009; 58: 250-259.
35. Wei W, Dutchak PA, Wang X, Ding X, Wang X, Bookout AL, et al. Fibroblast growth factor 21 promotes bone loss by potentiating the effects of peroxisome proliferator-Activated receptor gamma. Proc Natl Acad Sci USA. 2012; 109: 3143-3148.
36. Ogawa Y, Kurosu H, Yamamoto M, Nandi A, Rosenblatt KP, Goetz R, et al. BetaKlotho is required for metabolic activity of fibroblast growth factor 21. Proc Natl Acad Sci USA. 2007; 104: 7432-7437.
37. Shimada T, Mizutani S, Muto T, Yoneya T, Hino R, Takeda S, et al. Cloning and characterization of FGF23 as a causative factor of tumor-induced osteomalacia. Proc Natl Acad Sci USA. 2001; 98: 6500-6505.