4.5 Review

Bridging translation for acute kidney injury with better preclinical modeling of human disease

期刊

AMERICAN JOURNAL OF PHYSIOLOGY-RENAL PHYSIOLOGY
卷 310, 期 10, 页码 P972-P984

出版社

AMER PHYSIOLOGICAL SOC
DOI: 10.1152/ajprenal.00552.2015

关键词

acute kidney injury; animal models; human disease; preclinical research; drug discovery

资金

  1. National Institutes of Health (NIH) [1RC4DK090770, VUMC44339-0R/P30DK079307-007, VUMC43321/U24 DK076169, 2R01 DK069403]
  2. Vanderbilt Center for Kidney Disease (VCKD)
  3. NephroGenex, Inc.
  4. NIH Grant [R01DK093462]
  5. Veterans Afairs Merit Review Grants [I01 BX001498, R56 HL095363]

向作者/读者索取更多资源

The current lack of effective therapeutics for patients with acute kidney injury (AKI) represents an important and unmet medical need. Given the importance of the clinical problem, it is time for us to take a few steps back and reexamine current practices. The focus of this review is to explore the extent to which failure of therapeutic translation from animal studies to human studies stems from deficiencies in the preclinical models of AKI. We will evaluate whether the preclinical models of AKI that are commonly used recapitulate the known pathophysiologies of AKI that are being modeled in humans, focusing on four common scenarios that are studied in clinical therapeutic intervention trials: cardiac surgery-induced AKI; contrast-induced AKI; cisplatin-induced AKI; and sepsis associated AKI. Based on our observations, we have identified a number of common limitations in current preclinical modeling of AKI that could be addressed. In the long term, we suggest that progress in developing better preclinical models of AKI will depend on developing a better understanding of human AKI. To this this end, we suggest that there is a need to develop greater in-depth molecular analyses of kidney biopsy tissues coupled with improved clinical and molecular classification of patients with AKI.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据