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132. Kongress der Deutschen Gesellschaft für Chirurgie

Deutsche Gesellschaft für Chirurgie

28.04. - 01.05.2015, München

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An unbiased approach to analysis of experimental colitis

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  • Philipp-Alexander Neumann - Universitätsklinik Münster, Allgemein- und Viszeralchirurgie, Münster, Deutschland
  • Hikaru Nishio - Emory University Atlanta, 2Experimental Pathology and Laboratory Medicine, Atlanta, GA 30322, USA
  • Stefan Koch - Emory University Atlanta, 2Experimental Pathology and Laboratory Medicine, Atlanta, GA 30322, USA
  • Giovanna Leoni - Emory University Atlanta, 2Experimental Pathology and Laboratory Medicine, Atlanta, GA 30322, USA
  • Duke Geem - Georgia State University, Center for Inflammation, Immunity and Infection, Atlanta, GA 30303, USA
  • Timothy Denning - Georgia State University, Center for Inflammation, Immunity and Infection, Atlanta, GA 30303, USA
  • Asma Nusrat - Emory University Atlanta, 2Experimental Pathology and Laboratory Medicine, Atlanta, GA 30322, USA
  • Charles Parkos - University of Michigan, Department of Pathology, Ann Arbor, MI 48109, USA

Deutsche Gesellschaft für Chirurgie. 132. Kongress der Deutschen Gesellschaft für Chirurgie. München, 28.04.-01.05.2015. Düsseldorf: German Medical Science GMS Publishing House; 2015. Doc15dgch632

doi: 10.3205/15dgch632, urn:nbn:de:0183-15dgch6326

Published: April 24, 2015

© 2015 Neumann et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.

Outline

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Introduction: Animal models of intestinal inflammation are extensively employed in research of inflammatory bowel diseases. However histological evaluation can be limited by a degree of subjectivity leading to variable results in the literature. Here we describe an unbiased widely applicable histological protocol for reproducible quantification of intestinal mucosal damage in murine models of intestinal inflammation.

Material and methods: High resolution digital scanning of the tissue and computer assisted analysis was used to evaluate the percentage of mucosal inflammation, injury and ulceration at a ratio of the whole colon length allowing for precise and unbiased data acquisition. For image analysis of scanned histological slides, the freely accessible program Aperio Imagescope was used. The results have been validated with other disease markers such as measurement of myeloperoxidase activity, fecal lipocalin concentration (ELISA) or the murine endoscopic index for colitis severity (MEICS) using mouse colonoscopy.

Results: The protocol has been established for DSS and T-cell transfer models of intestinal inflammation/injury. We show that the percentage of inflammation/ulceration in ratio to the whole colon length faithfully reflects the percentage of weight loss during the course of the disease and therefore is a valuable surrogate marker for disease activity. Furthermore the percentage of ulceration highly correlates with the evaluated other markers for inflammation such as the murine endoscopic index for colitis severity.

Conclusion: The presented protocol gives comprehensive information about sample preparation, image analysis and data presentation. Using the proposed method will result in high objectivity and reproducibility of the results.

Figure 1 [Fig. 1]