The DOI matches its Crossref record; 153 of the 153 references it cites were found in a registry or an index.
Porcine models of digestive disease: the future of large animal translational research
Open accessAbstract
There is increasing interest in non-rodent translational models for the study of human disease. The pig, in particular, serves as a useful animal model for the study of pathophysiological conditions relevant to the human intestine. This review assesses currently used porcine models of gastrointestinal physiology and disease and provides a rationale for the use of these models for future translational studies. The pig has proven its utility for the study of fundamental disease conditions such as ischemia/ reperfusion injury, stress-induced intestinal dysfunction, and short bowel syndrome. Pigs have also shown great promise for the study of intestinal barrier function, surgical tissue manipulation and intervention, as well as biomaterial implantation and tissue transplantation. Advantages of pig models highlighted by these studies include the physiological similarity to human intestine as well as to mechanisms of human disease. Emerging future directions for porcine models of human disease include the fields of transgenics and stem cell biology, with exciting implications for regenerative medicine.
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Cited by
Haidry, R. J., van Baar, A. C., Galvao Neto, M. P., Rajagopalan, H., Caplan, J., Levin, P. S., Bergman, J. J., Rodriguez, L., Deviere, J., & Thompson, C. C. (2019) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2019.03.024 · Cited by 66
Chrononutrition: Potential, Challenges, and Application in Managing Obesity
Fuad, S. A., Ginting, R. P., & Lee, M.-W. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26115116 · Cited by 16
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Self-citation
Metadata
- Authors
- Gonzalez, L. M., Moeser, A. J., & Blikslager, A. T.
- Venue
- Translational Research
- Publisher
- Elsevier BV
- Published
- 2015-07
- Volume
- 166
- Issue
- 1
- Pages
- 12-27
- ISSN
- 1878-1810 (ISSN-L)
- 1931-5244
- OpenAlex
- W1977148261
- Cited by
- 276
- References
- 153
- FWCI
- 18.84
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
