Suppr超能文献

柯萨奇病毒B4和1型糖尿病对雌性非肥胖糖尿病小鼠肾脏的影响

Consequences of Both Coxsackievirus B4 and Type 1 Diabetes on Female Non-Obese Diabetic Mouse Kidneys.

作者信息

Walter Debra L, Thuma Jean R, Malgor Ramiro, Schwartz Frank L, McCall Kelly D, Coschigano Karen T

机构信息

Interdisciplinary Program in Molecular and Cellular Biology, Ohio University, Athens, OH 45701, USA.

Department of Biological Sciences, College of Arts and Sciences, Ohio University, Athens, OH 45701, USA.

出版信息

Microorganisms. 2021 Nov 15;9(11):2357. doi: 10.3390/microorganisms9112357.

Abstract

Despite the 2019 Executive Order on Advancing American Kidney Health Initiative, kidney disease has moved up in rank from the 9th to the 8th leading cause of death in the United States. A recent push in the field of nephrology has been to identify molecular markers and/or molecular profiles involved in kidney disease process or injury that can help identify the cause of injury and predict patient outcomes. While these studies have had moderate success, they have not yet considered that many of the health conditions that cause kidney disease (diabetes, hypertension, etc.) can also be caused by environmental factors (such as viruses), which in and of themselves can cause kidney disease. Thus, the goal of this study was to identify molecular and phenotypic profiles that can differentiate kidney injury caused by diabetes (a health condition resulting in kidney disease) and coxsackievirus B4 (CVB4) exposure (which can cause diabetes and/or kidney disease), both alone and together. Non-obese diabetic (NOD) mice were used for this study due to their susceptibility to both type 1 diabetes (T1D)- and CVB4-mediated kidney injury, in order to glean a better understanding of how hyperglycemia and viral exposure, when occurring on their own and in combination, may alter the kidneys' molecular and phenotypic profiles. While no changes in kidney function were observed, molecular biomarkers of kidney injury were significantly up- and downregulated based on T1D and CVB4 exposure, both alone and together, but not in a predictable pattern. By combining individual biomarkers with function and phenotypic measurements (i.e., urinary albumin creatinine ratio, serum creatinine, kidney weight, and body weight), we were able to perform an unbiased separation of injury group based on the type of injury. This study provides evidence that unique kidney injury profiles within a kidney disease health condition are identifiable, and will help us to identify the causes of kidney injury in the future.

摘要

尽管有2019年《推进美国肾脏健康倡议行政命令》,但肾脏疾病在美国的死因排名已从第9位升至第8位。肾病学领域最近的一项工作是确定参与肾脏疾病过程或损伤的分子标志物和/或分子谱,这有助于确定损伤原因并预测患者预后。虽然这些研究取得了一定成功,但它们尚未考虑到许多导致肾脏疾病的健康状况(糖尿病、高血压等)也可能由环境因素(如病毒)引起,而这些环境因素本身也可导致肾脏疾病。因此,本研究的目的是确定分子和表型谱,以区分由糖尿病(一种导致肾脏疾病的健康状况)和柯萨奇病毒B4(CVB4)暴露(可导致糖尿病和/或肾脏疾病)单独或共同引起的肾脏损伤。由于非肥胖糖尿病(NOD)小鼠对1型糖尿病(T1D)和CVB4介导的肾脏损伤均易感,因此本研究使用该小鼠,以便更好地了解高血糖和病毒暴露单独及联合出现时如何改变肾脏的分子和表型谱。虽然未观察到肾功能变化,但基于T1D和CVB4暴露单独或联合情况下,肾脏损伤的分子生物标志物均有显著上调和下调,但无可预测模式。通过将个体生物标志物与功能和表型测量(即尿白蛋白肌酐比值、血清肌酐、肾脏重量和体重)相结合,我们能够根据损伤类型对损伤组进行无偏分离。本研究提供了证据,表明在肾脏疾病健康状况下可识别独特的肾脏损伤谱,并将有助于我们未来确定肾脏损伤原因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e04/8623636/3c1e0197c220/microorganisms-09-02357-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验