Jerums G, Premaratne E, Panagiotopoulos S, Clarke S, Power D A, MacIsaac R J
Endocrine Centre of Excellence, Austin Health and University of Melbourne, Heidelberg Repatriation Hospital, Level 2 Centaur Building, 300 Waterdale Road, Heidelberg West 3081, Victoria, Australia.
Diabetes Res Clin Pract. 2008 Nov 13;82 Suppl 1:S30-7. doi: 10.1016/j.diabres.2008.09.032. Epub 2008 Oct 19.
The onset of diabetic nephropathy is characterised by a rise in albumin excretion rate (AER) and/or a transient rise in glomerular filtration rate (GFR) (hyperfiltration). Without intervention AER increases exponentially and there is a linear decrease in GFR after onset of overt nephropathy. In overt nephropathy, AER is a predictor of decline in GFR and the early AER response to antihypertensive therapy correlates with long-term decline in GFR. AER can be measured by immunoassay or by other techniques including HPLC. However, HPLC assays result in higher levels of AER in normal subjects compared with immunoassayable AER. Recent data suggest that there are distinct albuminuric and non-albuminuric pathways to renal impairment in type 1 and type 2 diabetes. In type 2 diabetes, the non-albuminuric pathway may explain a decline in GFR to <60 ml/min/1.73 m(2) in approximately one in four subjects after accounting for the use of renin angiotensin system inhibitors. In established nephropathy (chronic kidney disease (CKD) stages 3 and 4), plasma cystatin C based estimates of GFR are marginally superior to creatinine based estimates. However, cystatin C clearly outperforms creatinine based estimates of GFR decline at GFR levels >60 ml/min/1.73 m(2) (CKD stages 1 and 2). Other potential markers of progression of diabetic nephropathy include transforming growth factor beta (TGFbeta) and connective tissue growth factor (CTGF). However, long-term studies are needed to define their roles as markers of progression. Diabetic nephropathy is likely to be more susceptible to intervention at an early stage and accurate estimation of GFR is already possible with cystatin C. However, improved formulas for estimating GFR based on using creatinine or other markers are still required, because this may still provide the most cost effective approach applicable to existing clinical practice.
糖尿病肾病的发病特征是白蛋白排泄率(AER)升高和/或肾小球滤过率(GFR)短暂升高(超滤过)。若不进行干预,AER呈指数级增加,显性肾病发作后GFR呈线性下降。在显性肾病中,AER是GFR下降的预测指标,且早期AER对抗高血压治疗的反应与GFR的长期下降相关。AER可通过免疫测定法或包括高效液相色谱法(HPLC)在内的其他技术进行测量。然而,与免疫测定的AER相比,HPLC测定法在正常受试者中得出的AER水平更高。最近的数据表明,1型和2型糖尿病导致肾损伤存在不同的蛋白尿和非蛋白尿途径。在2型糖尿病中,在考虑使用肾素血管紧张素系统抑制剂后,约四分之一的受试者中,非蛋白尿途径可能解释了GFR降至<60 ml/min/1.73 m²的原因。在已确诊的肾病(慢性肾脏病(CKD)3期和4期)中,基于血浆胱抑素C的GFR估计值略优于基于肌酐的估计值。然而,在GFR水平>60 ml/min/1.73 m²(CKD 1期和2期)时,胱抑素C明显优于基于肌酐的GFR下降估计值。糖尿病肾病进展的其他潜在标志物包括转化生长因子β(TGFβ)和结缔组织生长因子(CTGF)。然而,需要长期研究来确定它们作为进展标志物的作用。糖尿病肾病在早期可能更容易受到干预,并且使用胱抑素C已经可以准确估计GFR。然而,仍需要改进基于肌酐或其他标志物的GFR估计公式,因为这可能仍然是适用于现有临床实践的最具成本效益的方法。