Artikel ; Online: High-fidelity porcine models of metabolic syndrome: a contemporary synthesis.
American journal of physiology. Endocrinology and metabolism
2022 Band 322, Heft 4, Seite(n) E366–E381
Abstract: This review aims to describe and compare porcine models of metabolic syndrome. This syndrome and its associated secondary comorbidities are set to become the greatest challenge to healthcare providers and policy makers in the coming century. However, an ... ...
Abstract | This review aims to describe and compare porcine models of metabolic syndrome. This syndrome and its associated secondary comorbidities are set to become the greatest challenge to healthcare providers and policy makers in the coming century. However, an incomplete understanding of the pathogenesis has left significant knowledge gaps in terms of efficacious therapeutics. To further our comprehension and, in turn, management of metabolic syndrome, appropriate high-fidelity models of the disease complex are of great importance. In this context, our review aims to assess the most promising porcine models of metabolic syndrome currently available for their similarity to the human phenotype. In addition, we aim to highlight the strengths and shortcomings of each model in an attempt to identify the most appropriate application of each. Although no porcine model perfectly recapitulates the human metabolic syndrome, several pose satisfactory approximations. The Ossabaw miniature swine in particular represents a highly translatable model that develops each of the core parameters of the syndrome with many of the associated secondary comorbidities. Future high-fidelity porcine models of metabolic syndrome need to focus on secondary sequelae replication, which may require extended induction period to reveal. |
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Mesh-Begriff(e) | Animals ; Disease Models, Animal ; Disease Progression ; Metabolic Syndrome/etiology ; Swine ; Swine, Miniature |
Sprache | Englisch |
Erscheinungsdatum | 2022-02-28 |
Erscheinungsland | United States |
Dokumenttyp | Journal Article ; Review ; Research Support, Non-U.S. Gov't |
ZDB-ID | 603841-4 |
ISSN | 1522-1555 ; 0193-1849 |
ISSN (online) | 1522-1555 |
ISSN | 0193-1849 |
DOI | 10.1152/ajpendo.00413.2021 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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