期刊名称:Proceedings of the National Academy of Sciences
印刷版ISSN:0027-8424
电子版ISSN:1091-6490
出版年度:2014
卷号:111
期号:39
页码:14193-14198
DOI:10.1073/pnas.1413970111
语种:English
出版社:The National Academy of Sciences of the United States of America
摘要:SignificanceThis paper deals with fibrosis of the kidney, a disease caused by inflammation, and so far there has been no way to diagnose and monitor the disease's progression with noninvasive methods (the only way to determine the disease state is by biopsy, which cannot be frequently repeated). For this reason we developed a mathematical model of progression of renal fibrosis and validated it with biomarkers that were obtained from patients' urine samples. We then used the model to show how antifibrosis drugs that are currently being developed for nonrenal fibrosis can be used to treat renal fibrosis. Lupus nephritis (LN) is an autoimmune disease that occurs when autoantibodies complex with self-antigen and form immune complexes that accumulate in the glomeruli. These immune complexes initiate an inflammatory response resulting in glomerular injury. LN often concomitantly affects the tubulointerstitial compartment of the kidney, leading first to interstitial inflammation and subsequently to interstitial fibrosis and atrophy of the renal tubules if not appropriately treated. Presently the only way to assess interstitial inflammation and fibrosis is through kidney biopsy, which is invasive and cannot be repeated frequently. Hence, monitoring of disease progression and response to therapy is suboptimal. In this paper we describe a mathematical model of the progress from tubulointerstitial inflammation to fibrosis. We demonstrate how the model can be used to monitor treatments for interstitial fibrosis in LN with drugs currently being developed or used for nonrenal fibrosis.
关键词:renal fibrosis ; math modeling ; tubulointerstitial inflammation