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These emerging approaches must be evaluated against externally validated hard clinical endpoints, such as annual eGFR slope, sustained 40% eGFR decline, progression to end-stage kidney disease (ESKD), or composite kidneycardiovascular outcomes, to determine their true predictive and clinical utility ( 3.1 Genetics and epigenetics Large-scale biobanks and multi-ethnic meta-analyses have significantly accelerated the identification of susceptibility loci and mechanistic insights related to DKD ( rs55703767 ), as well as signals in AFF3, FRMD3, and the RGMAMCTP2 region, which are consistently associated with albuminuria, eGFR decline, and ESKD ( By contrast, the greater phenotypic heterogeneity in type 2 diabetes (T2D)due to comorbidities such as hypertension, obesity, and dyslipidemiahas limited the detection of genome-wide significant loci ( 3.1.1 Polygenic risk scores (PRS) A 2024 systematic review suggests that polygenic risk scores (PRS) derived from existing GWAS datasets can identify individuals at elevated risk for DKD at the population level ( Best practices for PRS development and deployment include multi-ancestry training, independent external validation, pre-registered thresholds, and transparent clinical interpretability ( 3.1.2 Epigenetic reprogramming and single cell multi-omics Epigenetic modifications associated with metabolic memoryincluding DNA methylation and histone remodelingcan persist despite glycemic normalization and contribute to podocyte injury, interstitial fibrosis, oxidative stress, and inflammation ( In parallel, single-cell and spatial multi-omics technologies are rapidly advancing nephrology research ( In the near term, a practical application may lie in multimodal predictive modeling that incorporates epigenetic and transcriptomic features alongside clinical variables, imaging, and fluid biomarkers to refine early risk stratification and subtype identification ( 3.1.3 Integrative perspective Current evidence supports an interactive model in which genetic predisposition, environmental exposures, and epigenetic reprogramming converge to shape DKD trajectory ( 3.2 Optimization and standardization of core laboratory markers eGFR and uACR remain the cornerstone biomarkers for early detection and longitudinal monitoring of DKD ( According to KDIGO 2024, serum creatininebased eGFR (eGFRcr) is recommended for initial screening, while combined creatininecystatin C equations (eGFRcr-cys) should be prioritized in decision-critical scenarios when available ( 3.2.1 Systematic bias in creatinine measurement Despite global efforts in assay standardization, serum creatinine remains susceptible to both methodological and interference-related variability

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