Hostname: page-component-78c5997874-94fs2 Total loading time: 0 Render date: 2024-11-05T02:38:28.336Z Has data issue: false hasContentIssue false
  • English
  • Français

Effects of Ghrelin on the Structural Complexity of Exocrine Pancreas Tissue Architecture

Published online by Cambridge University Press:  29 April 2013

Igor Pantic ,
Dejan Nesic ,
Darko Stevanovic ,
Vesna Starcevic ,
Senka Pantic  and
Vladimir Trajkovic
Igor Pantic*
Affiliation:
Institute of Medical Physiology, School of Medicine, University of Belgrade, Visegradska 26/II, 11129 Belgrade, Serbia
Dejan Nesic
Affiliation:
Institute of Medical Physiology, School of Medicine, University of Belgrade, Visegradska 26/II, 11129 Belgrade, Serbia
Darko Stevanovic
Affiliation:
Institute of Medical Physiology, School of Medicine, University of Belgrade, Visegradska 26/II, 11129 Belgrade, Serbia
Vesna Starcevic
Affiliation:
Institute of Medical Physiology, School of Medicine, University of Belgrade, Visegradska 26/II, 11129 Belgrade, Serbia
Senka Pantic
Affiliation:
Institute of Histology and Embryology, School of Medicine, University of Belgrade, Višegradska 26, 11000 Belgrade, Serbia
Vladimir Trajkovic*
Affiliation:
Institute of Microbiology and Immunology, School of Medicine, University of Belgrade, Dr. Subotica 1, 11000 Belgrade, Serbia
*
*Corresponding author. E-mail: [email protected]
**Corresponding author. E-mail: [email protected]
Get access

Abstract

Recent studies have shown that ghrelin increases pancreatic exocrine secretion. However, the potential effects of ghrelin on the morphology of exocrine pancreas (EP) remain unknown. In this work, using fractal analysis, we demonstrate that centrally administered ghrelin increases structural complexity and tissue disorder in rat EP. The study was carried out on a total of 40 male Wistar rats divided into four groups (n = 10): ghrelin-treated animals (average age, 1.5 months), ghrelin-treated animals (8.5 months), and controls (1.5 and 8.5 months). The pancreas tissue sections were stained with hematoxylin/eosin and visualized by light microscopy. For each animal, the average values of tissue fractal dimension, lacunarity, as well as parameters of co-occurrence matrix texture, were determined using tissue digital micrographs. The results indicate that ghrelin administration increases EP fractal dimension and textural entropy, and decreases lacunarity, regardless of the age. To our knowledge, this is the first study to investigate the effects of ghrelin on the morphological properties of pancreatic tissue, and also the first to apply fractal and textural analysis methods in quantification of EP tissue architecture.

Keywords

ghrelinfractallacunarityentropyagepancreas
Type
Biological Applications
Information
Microscopy and Microanalysis , Volume 19 , Issue 3 , June 2013 , pp. 553 - 558
Copyright
Copyright © Microscopy Society of America 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bancaud, A., Huet, S., Daigle, N., Mozziconacci, J., Beaudouin, J. & Ellenberg, J. (2009). Molecular crowding affects diffusion and binding of nuclear proteins in heterochromatin and reveals the fractal organization of chromatin. EMBO J 28(24), 3785–3798.CrossRefGoogle ScholarPubMed
Cabrera, J. (2005). Texture analyzer. Available at http://rbs.info.nih.gov/ij/plugins/texture.html (retrieved August 22, 2012).Google Scholar
Canals, M., Olivares, R., Labra, F. & Novoa, F.F. (2000). Ontogenetic changes in the fractal geometry of the bronchial tree in Rattus norvegicus. Biol Res 33(1), 31–35.CrossRefGoogle ScholarPubMed
Carballido-Gamio, J., Link, T.M. & Majumdar, S. (2008). New techniques for cartilage magnetic resonance imaging relaxation time analysis: Texture analysis of flattened cartilage and localized intra- and inter-subject comparisons. Magn Reson Med 59(6), 1472–1477.CrossRefGoogle ScholarPubMed
Cardona Cano, S., Merkestein, M., Skibicka, K.P., Dickson, S.L. & Adan, R.A. (2012). Role of ghrelin in the pathophysiology of eating disorders: implications for pharmacotherapy. CNS Drugs 26(4), 281–296.CrossRefGoogle ScholarPubMed
Cattani, C., Badea, R., Chen, S. & Crisan, M. (2012). Biomedical signal processing and modeling complexity of living systems. Comput Math Methods Med 2012, 298634. CrossRefGoogle ScholarPubMed
Cornish, T.B. (2007). GLCM_TextureToo. Available at http://tobycornish.com/downloads/imagej/ (retrieved August 22, 2012).Google Scholar
Dioguardi, N., Grizzi, F., Franceschini, B., Bossi, P. & Russo, C. (2006). Liver fibrosis and tissue architectural change measurement using fractal-rectified metrics and Hurst's exponent. World J Gastroenterol 12(14), 2187–2194.CrossRefGoogle ScholarPubMed
Falconer, K. (2003). Fractal Geometry: Mathematical Foundations and Applications. London, UK: John Wiley and Sons.CrossRefGoogle Scholar
Fazzalari, N.L. & Parkinson, I.H. (1996). Fractal dimension and architecture of trabecular bone. J Pathol 178(1), 100–105.3.0.CO;2-K>CrossRefGoogle ScholarPubMed
Gilmore, S., Hofmann-Wellenhof, R., Muir, J. & Soyer, H.P. (2009). Lacunarity analysis: A promising method for the automated assessment of melanocytic naevi and melanoma. PLoS One 4(10), e7449. CrossRefGoogle ScholarPubMed
Gnanapavan, S., Kola, B., Bustin, S.A., Morris, D.G., McGee, P., Fairclough, P., Bhattacharya, S., Carpenter, R., Grossman, A.B. & Korbonits, M. (2002). The tissue distribution of the mRNA of ghrelin and subtypes of its receptor, GHS-R, in humans. J Clin Endocrinol Metab 87(6), 2988–2991.CrossRefGoogle ScholarPubMed
Gould, D.J., Vadakkan, T.J., Poche, R.A. & Dickinson, M.E. (2011). Multifractal and lacunarity analysis of microvascular morphology and remodeling. Microcirculation 18(2), 136–151.CrossRefGoogle ScholarPubMed
Haralick, R.M., Shanmugam, K. & Dinstein, I. (1973). Textural features for image classification. IEEE Trans Syst Man Cybern SMC-3, 610–621.CrossRefGoogle Scholar
Jaworek, J. (2006). Ghrelin and melatonin in the regulation of pancreatic exocrine secretion and maintaining of integrity. J Physiol Pharmacol 57(Suppl 5), 83–96.Google ScholarPubMed
Jelinek, H.F., Ristanovic, D. & Milosevic, N.T. (2011). The morphology and classification of alpha ganglion cells in the rat retinae: A fractal analysis study. J Neurosci Methods 201(1), 281–287.CrossRefGoogle ScholarPubMed
Karperien, A. (1999–2007). FracLac for ImageJ, version 2.5. Available at http://rsb.info.nih.gov/ij//fraclac/FLHelp/Introduction.htm (retrieved August 22, 2012).Google Scholar
Kern, A., Albarran-Zeckler, R., Walsh, H.E. & Smith, R.G. (2012). Apo-ghrelin receptor forms heteromers with DRD2 in hypothalamic neurons and is essential for anorexigenic effects of DRD2 agonism. Neuron 73(2), 317–332.CrossRefGoogle ScholarPubMed
King, R.D., Brown, B., Hwang, M., Jeon, T. & George, A.T. (2010). Fractal dimension analysis of the cortical ribbon in mild Alzheimer's disease. Neuroimage 53(2), 471–479.CrossRefGoogle ScholarPubMed
Klok, M.D., Jakobsdottir, S. & Drent, M.L. (2007). The role of leptin and ghrelin in the regulation of food intake and body weight in humans: A review. Obes Rev 8(1), 21–34.CrossRefGoogle Scholar
Lai, K.C., Cheng, C.H. & Leung, P.S. (2007). The ghrelin system in acinar cells: Localization, expression, and regulation in the exocrine pancreas. Pancreas 35(3), e1–8.CrossRefGoogle ScholarPubMed
Lopes, R. & Betrouni, N. (2009). Fractal and multifractal analysis: A review. Med Image Anal 13(4), 634–649.CrossRefGoogle ScholarPubMed
Milosevic, N.T. & Ristanovic, D. (2006). Fractality of dendritic arborization of spinal cord neurons. Neurosci Lett 396(3), 172–176.CrossRefGoogle ScholarPubMed
Milosevic, N.T., Ristanovic, D., Gudovic, R., Rajkovic, K. & Maric, D. (2007). Application of fractal analysis to neuronal dendritic arborisation patterns of the monkey dentate nucleus. Neurosci Lett 425(1), 23–27.CrossRefGoogle ScholarPubMed
Nesic, D.M., Stevanovic, D.M., Ille, T., Petricevic, S., Masirevic-Draskovic, G. & Starcevic, V.P. (2008). Centrally applied ghrelin affects feeding dynamics in male rats. J Physiol Pharmacol 59(3), 489–500.Google ScholarPubMed
Olefirenko, A., Lutsenko, D., Sleta, I. & Marchenko, V. (2009). Use of fractal analysis for evaluation of liver structure and function in rats in vivo. Bull Exp Biol Med 147(2), 273–276.CrossRefGoogle ScholarPubMed
Pantic, I., Basta-Jovanovic, G., Starcevic, V., Paunovic, J., Suzic, S., Kojic, Z. & Pantic, S. (2013). Complexity reduction of chromatin architecture in macula densa cells during mouse postnatal development. Nephrology 18(2), 117–124.CrossRefGoogle ScholarPubMed
Pantic, I. & Pantic, S. (2012). Germinal center texture entropy as possible indicator of humoral immune response: Immunophysiology viewpoint. Mol Imag Biol 14(5), 534–540.CrossRefGoogle ScholarPubMed
Pantic, I., Pantic, S. & Basta-Jovanovic, G. (2012a). Gray level co-occurrence matrix texture analysis of germinal center light zone lymphocyte nuclei: Physiology viewpoint with focus on apoptosis. Microsc Microanal 18(3), 470–475.CrossRefGoogle ScholarPubMed
Pantic, I., Pantic, S. & Paunovic, J. (2012b). Aging increases nuclear chromatin entropy of erythroid precursor cells in mice spleen hematopoietic tissue. Microsc Microanal 18(5), 1054–1059.CrossRefGoogle ScholarPubMed
Sanchez-Molina, D., Velazquez-Ameijide, J., Quintana, V., Arregui-Dalmases, C., Crandall, J.R., Subit, D. & Kerrigan, J.R. (2012). Fractal dimension and mechanical properties of human cortical bone. Med Eng Phys (published online July 26, 2012 ahead of print).Google ScholarPubMed
Sato, N., Kanai, S., Takano, S., Kurosawa, M., Funakoshi, A. & Miyasaka, K. (2003). Central administration of ghrelin stimulates pancreatic exocrine secretion via the vagus in conscious rats. Jpn J Physiol 53(6), 443–449.CrossRefGoogle ScholarPubMed
Shamir, L., Wolkow, C.A. & Goldberg, I.G. (2009). Quantitative measurement of aging using image texture entropy. Bioinformatics 25(23), 3060–3063.CrossRefGoogle ScholarPubMed
Smith, T.G. Jr., Lange, G.D. & Marks, W.B. (1996). Fractal methods and results in cellular morphology—Dimensions, lacunarity and multifractals. J Neurosci Methods 69(2), 123–136.CrossRefGoogle ScholarPubMed
Starcevic, V.P., Morrow, B.A., Farner, L.A., Keil, L.C. & Severs, W.B. (1988). Long-term recording of cerebrospinal fluid pressure in freely behaving rats. Brain Res 462(1), 112–117.CrossRefGoogle ScholarPubMed
Warren, A., Chaberek, S., Ostrowski, K., Cogger, V.C., Hilmer, S.N., McCuskey, R.S., Fraser, R. & Le Couteur, D.G. (2008). Effects of old age on vascular complexity and dispersion of the hepatic sinusoidal network. Microcirculation 15(3), 191–202.CrossRefGoogle ScholarPubMed
Yasar, F. & Akgunlu, F. (2005). Fractal dimension and lacunarity analysis of dental radiographs. Dentomaxillofac Radiol 34(5), 261–267.CrossRefGoogle ScholarPubMed