دورية أكاديمية

Emerging Urinary Markers of Renal Injury in Obstructive Nephropathy

التفاصيل البيبلوغرافية
العنوان: Emerging Urinary Markers of Renal Injury in Obstructive Nephropathy
المؤلفون: Giuseppe Lucarelli, Vito Mancini, Vanessa Galleggiante, Monica Rutigliano, Antonio Vavallo, Michele Battaglia, Pasquale Ditonno
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: http://downloads.hindawi.com/journals/bmri/2014/303298.pdfTest.
المجموعة: CiteSeerX
الوصف: The effects of obstruction on renal function are the consequence of many factors that profoundly alter all components of glomerular function. Besides the acute effects on glomerular filtration rate and tubule function, a chronic obstruction induces tubular and interstitial injury that results from the activation of different pathways. The progression of tubulointerstitial injury leads to chronic renal damage characterized by tubular atrophy, inflammatory cell infiltration, and interstitial fibrosis. Obstructive nephropathy is an evolving disease in which the renal damage continues even after relief of the obstruction. In particular, it has been demonstrated that the time of relief is the most important factor in predicting long-term renal function deterioration. In this setting, the EGF/MCP-1 ratio, urinary NGAL, and urinary KIM-1 are useful early biomarkers of progressive renal damage and could have a potential role in predicting the long-term renal outcome. This minireview summarizes the role of these emerging urinary biomarkers of obstructive nephropathy based on the current understanding of the pathophysiology of renal injury.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
العلاقة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1040.5919Test; http://downloads.hindawi.com/journals/bmri/2014/303298.pdfTest
الإتاحة: http://downloads.hindawi.com/journals/bmri/2014/303298.pdfTest
حقوق: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.E0EDE484
قاعدة البيانات: BASE