title: Biomarkers in diabetic nephropathy: Present and future.
abstract: Diabetic nephropathy (DN) is the leading cause of end stage renal disease in the Western world. Microalbuminuria (MA) is the earliest and most commonly used clinical index of DN and is independently associated with cardiovascular risk in diabetic patients. Although MA remains an essential tool for risk stratification and monitoring disease progression in DN, a number of factors have called into question its predictive power. Originally thought to be predictive of future overt DN in 80% of patients, we now know that only around 30% of microalbuminuric patients progress to overt nephropathy after 10 years of follow up. In addition, advanced structural alterations in the glomerular basement membrane may already have occurred by the time MA is clinically detectable.Evidence in recent years suggests that a significant proportion of patients with MA can revert to normoalbuminuria and the concept of nonalbuminuric DN is well-documented, reflecting the fact that patients with diabetes can demonstrate a reduction in glomerular filtration rate without progressing from normo-to MA. There is an unmet clinical need to identify biomarkers with potential for earlier diagnosis and risk stratification in DN and recent developments in this field will be the focus of this review article.
authors.affiliation: Gemma Currie, Christian Delles, Institute of Cardiovascular and Medical Sciences, University of Glasgow, G12 8TA Glasgow, United Kingdom.
authors.forename: Gemma
authors.initials: G
authors.lastname: Currie
authors.affiliation: Gemma Currie, Christian Delles, Institute of Cardiovascular and Medical Sciences, University of Glasgow, G12 8TA Glasgow, United Kingdom.
authors.forename: Gerard
authors.initials: G
authors.lastname: McKay
authors.affiliation: Gemma Currie, Christian Delles, Institute of Cardiovascular and Medical Sciences, University of Glasgow, G12 8TA Glasgow, United Kingdom.
authors.forename: Christian
authors.initials: C
authors.lastname: Delles
keywords: Biomarkers; Diabetes; Microalbuminuria; Nephropathy; Proteinuria