©The Author(s) 2026.
World J Diabetes. Jan 15, 2026; 17(1): 110502
Published online Jan 15, 2026. doi: 10.4239/wjd.v17.i1.110502
Published online Jan 15, 2026. doi: 10.4239/wjd.v17.i1.110502
Table 2 Summary of urinary tubular biomarkers important in the diagnosis of diabetic kidney disease
| Biomarker | Source | Diagnostic accuracy | Clinical significance | Validation status | Prospective | Contras |
| NGAL | Proximal and distal tubular stress injury | AUC: 0.88 (0.84-0.90); sensitivity 0.82, specificity 0.81[57] | Early marker of tubular injury; predictive of nephropathy before albuminuria | Larger-scale, standardized prospective studies are needed to implement uNGAL as a biomarker into routine clinical use | Detects injury before traditional biomarkers; non-invasive and stable in urine | Not specific for DKD; elevated in infections or AKI; limited validation (small sample size studies only, high heterogeneity among studies in terms of results and methodologies) |
| KIM-1 | Proximal tubular injury | AUC: 0.85 (0.82-0.88); sensitivity 0.68, specificity 0.83[58] | Sensitive marker of early tubular injury in DKD; correlates with disease progression | Some promising data, but whether it can be used as a new marker for diagnosing DKD needs further investigation | Highly specific for proximal tubular damage; FDA-qualified for nephrotoxicity | Limited data in T1DM; limited validation (high heterogeneity between studies in terms of results and methodologies) |
| L-FABP | Lipid metabolism and proximal tubular stress | AUC: 0.97 (0.94-1.00); sensitivity 100%, specificity 86.67%[59] | Reflects oxidative and lipid-induced tubular damage | Available research seems to highlight high predictive power even compared to other urinary markers including microalbuminuria, but more studies are necessary in order to validate it as a standard biomarker | Sensitive to oxidative stress and useful for early diagnosis | Affected by diet and comorbidities (false positives); requires special assays; limited validation (small sample size studies only, high heterogeneity among studies in terms of results and methodologies) |
| MCP-1 | Inflammatory chemokine secreted by monocytes and macrophages | AUC: 0.546 (0.453-0.638); sensitivity 67.3%, specificity 50.0%[60] | Correlates with tubulointerstitial inflammation and progression of DKD | May not be sufficient as a standalone diagnostic marker for DKD | Correlates with inflammation and disease activity; useful in prognosis | Moderate sensitivity; poor-to-fair discrimination. Levels can fluctuate widely depending on the extent of kidney damage and the presence of inflammatory stimuli |
| Cystatin C | Proximal tubular function | AUC: 0.807 (0.741-0.873) sensitivity, 70.9%; specificity, 86.3%[61,62] | Indicates proximal tubular dysfunction; used in conjunction with serum cystatin C | Although not specifically approved as a stand-alone biomarker for DKD, it is well recognized as a valuable marker of kidney function and for assessment of overall kidney health, including in the context of DKD | Non-invasive, standardized assays available | Affected by inflammation, corticosteroids, thyroid dysfunction and infections (false positives); not highly specific |
| Creatinine | Muscle metabolism and tubular function | AUC: 0.604-0.8[63] | Used to normalize other urinary biomarkers; reflects kidney filtration but not specific | Limited diagnostic value alone; rarely used; not FDA approved | Readily available, useful for comparative purposes | Not specific or sensitive for kidney damage (it reflects filtration rather than damage); limited diagnostic value alone |
| Fe Mg | Tubular magnesium handling | No data on AUC, sensitivity, or specificity | Early sign of tubular reabsorption impairment | May not be sufficient and specific as a diagnostic biomarker of DKD | Potential early tubular dysfunction marker; measurable in clinical laboratories | Lack of standardization, diagnostic accuracy data, and large-scale validation (limited sample sizes, no established cut-offs) |
| Angiotensinogen | RAAS activity | No data on AUC, sensitivity, or specificity | Reflects intrarenal RAAS activity; elevated in DKD and hypertension | uAGT remains a candidate “theragnostic” biomarker predicting response to RAAS inhibition; further rigorous studies are needed to determine its potential diagnostic role in DKD | Correlates with DKD severity; reflects RAAS dysregulation | Values can be influenced by sex hormones (false positives). Overlap with systemic RAAS activation; requires careful interpretation. Lack of external validation (lack of diagnostic accuracy data, small sample size studies) |
| Periostin | Tubular fibrosis | AUC: 0.78 (0.71-0.86); sensitivity 80.7%, specificity 43.3% (for a cut-off value of 1.01 ng/mg Cr)[64] | Associated with tubular injury and fibrosis; elevated in early DKD | Still sparse, although consistent body of research regarding its role as an early biomarker of DKD | Reflects fibrotic transformation early; may guide interventions | Emerging marker; limited clinical validation and availability (small and cross-sectional studies). Role not clear in early DKD |
| Uromodulin | Thick ascending limb health | Regarding the ability to discriminate between patients with DKD and patients with CKD without diabetes, AUC-ROC for the urinary glycated uromodulin (glcUMOD) resulted in 0.715 (0.597-0.834)[65]; urinary uromodulin with an AUC of 0.81 (sensitivity 80%, specificity 60%) and exosomal UMOD gene expression with an AUC of 0.95 (sensitivity 92%, specificity 84%) are elevated in early DKD[66] | Lower levels associated with increased mortality risk and DKD progression | glcUMOD could represent a novel biomarker for DKD; determination of the clinical value of glcUMOD requires further study | Inverse association with outcomes; not expressed in damage; potentially protective marker | Not a direct damage marker; interpretation depends on clinical context; the limited research has focused on its translational modification (glcUMOD) |
| EGF | Tubular epithelial regeneration | Regarding the association between lower uEGF to creatinine ratio with new-onset eGFR < 60 mL/minute per 1.73 m2: In T2DM normoalbuminuric patients: AUC-ROC: 0.85 (0.81-0.90)[67] | Involved in tubular repair | Low uEGF to creatinine ratio could serve as a biomarker of progressive renal function deterioration in normoalbuminuric patients | Inverse marker (lower levels predict DKD progression); decreases before clinical deterioration | Not routinely measured, lack of sufficient validation |
| VDBP | Vitamin D transport, liver and tubular cells | No data on AUC, sensitivity, or specificity. Significantly elevated in diabetics with normal, micro- and macroalbuminuria compared to controls, in stepwise fashion (SMDs: 1.52, 1.81, and 1.51, respectively; all P < 0.00001)[68] | Elevated in DKD; correlates with albuminuria and tubular injury | uVDBP could be a promising tubular injury biomarker but requires formal accuracy studies on larger scale | Strong correlation with DKD progression; measurable with multiplex assays | Lack of specificity; also elevated in other renal pathologies (false positives); lack of diagnostic accuracy data and established cut-offs |
| RBP4 | Tubular stress, adipocytes | AUC: 0.746 (0.659-0.834), sensitivity 84.6%, specificity 62.5%[69] | Associated with tubular stress and insulin resistance in DKD | Predictive role of urinary RBP4 requires further investigation, with most studies involving circulating/serum RBP4 | Associated with metabolic stress and insulin resistance; useful in early DKD | Limited normative data; influenced by obesity (false positives); it may be complementary in the diagnosis of early DKD |
| YKL-40 | Inflammation and remodeling (monocytes and chondrocytes) | It seems associated with a greater risk of kidney function decline and mortality on a limited male cohort[70] | Elevated in DKD; linked to mortality and inflammation | Serum/plasma YKL-40 predictive power of early DKD has been validated by multiple studies | Rise relevant in DKD | Emerging marker, lacks widespread validation |
- Citation: Gembillo G, Soraci L, Messina R, Lo Cicero L, Spadaro G, Cuzzola F, Calderone M, Ricca MF, Di Piazza S, Sudano F, Peritore L, Santoro D. Urinary biomarkers of diabetic kidney disease. World J Diabetes 2026; 17(1): 110502
- URL: https://www.wjgnet.com/1948-9358/full/v17/i1/110502.htm
- DOI: https://dx.doi.org/10.4239/wjd.v17.i1.110502