{"title":"Animal Models and Their Role in Understanding the Pathophysiology of Cystic Fibrosis-Associated Gastrointestinal Lesions.","authors":"Katherine N Gibson-Corley, John F Engelhardt","doi":"10.1146/annurev-pathol-022420-105133","DOIUrl":null,"url":null,"abstract":"<p><p>The life expectancy of cystic fibrosis (CF) patients has greatly increased over the past decade, and researchers and clinicians must now navigate complex disease manifestations that were not a concern prior to the development of modern therapies. Explosive growth in the number of CF animal models has also occurred over this time span, clarifying CF disease pathophysiology and creating opportunities to understand more complex disease processes associated with an aging CF population. This review focuses on the CF-associated pathologies of the gastrointestinal system and how animal models have increased our understanding of this complex multisystemic disease. Although CF is primarily recognized as a pulmonary disease, gastrointestinal pathology occurs very commonly and can affect the quality of life for these patients. Furthermore, we discuss how next-generation genetic engineering of larger animal models will impact the field's understanding of CF disease pathophysiology and the development of novel therapeutic strategies.</p>","PeriodicalId":50753,"journal":{"name":"Annual Review of Pathology-Mechanisms of Disease","volume":"16 ","pages":"51-67"},"PeriodicalIF":28.4000,"publicationDate":"2021-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Review of Pathology-Mechanisms of Disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1146/annurev-pathol-022420-105133","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PATHOLOGY","Score":null,"Total":0}
引用次数: 5
Abstract
The life expectancy of cystic fibrosis (CF) patients has greatly increased over the past decade, and researchers and clinicians must now navigate complex disease manifestations that were not a concern prior to the development of modern therapies. Explosive growth in the number of CF animal models has also occurred over this time span, clarifying CF disease pathophysiology and creating opportunities to understand more complex disease processes associated with an aging CF population. This review focuses on the CF-associated pathologies of the gastrointestinal system and how animal models have increased our understanding of this complex multisystemic disease. Although CF is primarily recognized as a pulmonary disease, gastrointestinal pathology occurs very commonly and can affect the quality of life for these patients. Furthermore, we discuss how next-generation genetic engineering of larger animal models will impact the field's understanding of CF disease pathophysiology and the development of novel therapeutic strategies.
期刊介绍:
The Annual Review of Pathology: Mechanisms of Disease is a scholarly journal that has been published since 2006. Its primary focus is to provide a comprehensive overview of recent advancements in our knowledge of the causes and development of significant human diseases. The journal places particular emphasis on exploring the current and evolving concepts of disease pathogenesis, as well as the molecular genetic and morphological changes associated with various diseases. Additionally, the journal addresses the clinical significance of these findings.
In order to increase accessibility and promote the broad dissemination of research, the current volume of the journal has transitioned from a gated subscription model to an open access format. This change has been made possible through the Annual Reviews' Subscribe to Open program, which allows all articles published in this volume to be freely accessible to readers. As part of this transition, all articles in the journal are published under a Creative Commons Attribution (CC BY) license, which encourages open sharing and use of the research.