Skip to main content
. 2023 Mar 31;13(4):633. doi: 10.3390/biom13040633

Table 1.

Biomarkers in diabetic kidney disease.

Author Year Biomarker Diagnostic Therapeutic Response Monitoring and Forecasting Comment
Pena, M.J. [5] 2016 Renal urinary proteome 0 1 0 Could identify who will have the best clinical outcome
Fontalvo, J.E.R. [8] 2021 Albuminuria 1 1 [12] 1 Urinary measurement
Colhoun, H.M. [10] 2018 Creatinine 1 0 1 Plasma measurement
Haase-Fielitz, A. [13] 2009 Serum Cystatin C (CysC) 1 0 1 * Marker ↑ before creatinine variation
Kaul, A. and Behera, M.R. [14] 2018 NGAL 1 0 1 * Serum and urinary measurement
Barutta, F. [15] 2021 Plasma KIM-1 1 0 1 [16] Serum measurement
Tye, S.C. [17] 2021 Glycosylated hemoglobin 0 1 * 0 Serum measurement
Gupta, A. [18] 2022 NETs 0 1 0 Inhibition may be a therapeutic target
Panduru, N.M. [19] 2013 L-FABP 0 0 1 Urinary measurement
Kalantarinia, K. [20] 2014 TNF-a 0 0 1 Serum and urinary measurement
Pavkov, M.E. [21] 2015 TNFR 1 -2 0 0 1 Plasma measurement
Sanchez, M. [22] 2018 8-OHdG 0 0 1 Plasma measurement

Diagnosis—0 = no, 1 = yes; Therapeutic Response—0 = no, 1 = yes; Follow-up and Prognosis—0 = no, 1 = yes; NGAL—Neutrophil gelatinase-associated lipocalin; NETs—secretion of neutrophil extracellular traps; L-FABP—liver-type fatty acid-binding protein TNF-α—tumor necrosis factor alpha; TNFR 1-2—serum tumor necrosis factor receptors 1 and 2; 8-OHdG—8-Hydroxy-2′-deoxyguanosine; *—controversial results.