Table 1.
Advantages of novel biomarkers in the early diagnosis of diabetic kidney disease
Biomarker | Validation study design | Sample size | Type of diabetes | Specimen | Advantages | Ref. |
CysC | CO | 52[38] | 2 | Serum | Not affected by lean body mass | [35-39] |
30[39] | Estimates more accurate than creatinine-based ones when GFR > 60 mL/min per 1.73 m2 | |||||
NGAL | CC | 112 | 2 | Urine | Indicator of glomerular hyperfiltration | [44] |
KIM1 | CC | 112 | 2 | Urine | Indicator of glomerular hyperfiltration | [44] |
NAG | CC | 434 | 1 | Urine | Baseline level predicts development of DKD | [51] |
CC | 946 | 2 | [52] | |||
8-oxodG | PC | 396 | 2 | Urine | Baseline level predicts development of DKD | [59] |
Pentosidine | CC | 434 | 1 | Urine | Baseline level predicts progression of albuminuria | [51] |
TNFR1/2 | RC | 628 | 1 | Serum | Baseline level predicts development of advanced CKD | [65] |
RC | 410 | 2 | [66] |
CysC: Cystatin C; NGAL: Neutrophil gelatinase-associated lipocalin; KIM1: Kidney injury molecule 1; NAG: N-acetyl-β-(D)-glucosaminidase; 8-oxodG: 8-oxo-7,8-dihydro-2’-deoxyguanosine; TNFR: Tumor necrosis factor receptor; CO: Case-only; CC: Case-control; PC: Prospective cohort; RC: Retrospective cohort; GFR: Glomerular filtration rate; DKD: Diabetic kidney disease; CKD: Chronic kidney disease.