Abstract
Chronic kidney disease (CKD) is a major complication of type 2 diabetes mellitus (T2DM), affecting 20%–50% of patients and leading to end-stage kidney disease (ESKD). This review synthesizes literature on CKD in T2DM, focusing on the epidemiology, pathophysiology, and management strategies, including oral hypo-glycemic agents and emerging therapies. A systematic search across PubMed, Scopus, and Web of Science prioritized studies from 2010 to 2025. Findings high-light the multifactorial pathogenesis of diabetic kidney disease (DKD), driven by hyperglycemia, hypertension, and oxidative stress. Sodium-glucose cotransporter-2 (SGLT2) inhibitors and glucagon-like peptide-1 receptor agonists (GLP-1 RAs), show nephroprotective effects, while biomarkers like estimated glomerular filtration rate (eGFR) and urinary albumin-creatinine ratio (UACR) enable early detection. Precision medicine holds promise for personalized treatment, but gaps in clinical practice and patient adherence persist, necessitating multidisciplinary approaches.
Keywords: Biomarkers, chronic kidney disease, hypoglycemic agents, SGLT2 inhibitors, type 2 diabetes mellitus
INTRODUCTION
Chronic kidney disease (CKD) affects 20%–50% of individuals with type 2 diabetes mellitus (T2DM), making it the leading cause of end-stage kidney disease (ESKD) globally.[1] Diabetic kidney disease (DKD) increases morbidity, mortality, and healthcare costs due to its association with cardiovascular disease (CVD).[2] The pathophysiology involves hyperglycemia, hypertension, oxidative stress, and inflammatory pathways, leading to glomerular damage and renal decline. Early detection using biomarkers like eGFR and UACR, combined with timely interventions, is critical. This review examines CKD in T2DM, covering epidemiology, pathophysiology, hypoglycemic therapies, prognostic markers, and future directions, supported by tables and a figure to summarize key findings.
MATERIALS AND METHODS
A systematic literature review was conducted using PubMed, Scopus, Web of Science, and Google Scholar, with keywords including “CKD,” “T2DM,” “DKD,” “hypoglycemic agents,” and “biomarkers.” Studies from 2010 to 2025 in peer-reviewed journals were prioritized, focusing on the CKD prevalence, pathophysiology, management, and emerging therapies in T2DM. Case reports, non-English studies, and those with limited clinical relevance were excluded. Data were categorized into epidemiology, pathophysiology, therapies, prognostic markers, and research gaps. Comparative analyses of therapeutic outcomes were performed to identify advancements and limitations.
RESULTS
Epidemiology
CKD affects 20%–50% of T2DM patients, with global T2DM cases projected to rise from 537 million in 2021 to 783 million by 2045.[1] About 20% of T2DM patients develop eGFR <60 mL/min/1.73 m2, and 30%–50% exhibit albuminuria. The UK Prospective Diabetes Study reported a 28% incidence of reduced eGFR and albuminuria after 15 years. Early-onset T2DM carries a neard 100% lifetime risk of moderate albuminuria. Regional studies report CKD prevalence of 8.7%–28.96% in T2DM patients.
Pathophysiology
DKD in T2DM is driven by hyperglycemia, hypertension, and oxidative stress, activating pathways like advanced glycation end-products (AGEs), protein kinase C, and cytokines (e.g., TNF-α, IL-6). Glomerular hyperfiltration and intraglomerular hypertension contribute to albuminuria and eGFR decline. RAAS inhibitors have led to the hetero-generous DKD presentations, with some patients developing reduced eGFR without prior albuminuria.
Hypoglycemic therapies
Table 1 summarizes the safety and efficacy of hypoglycemic agents in CKD. Metformin is safe in mild-to-moderate CKD (eGFR ≥ 30 mL/min/1.73 m2) with dose adjustments, reducing mortality and ESKD risk. Sulfonylureas pose high hypoglycemia risks and are contraindicated in severe CKD. DPP-4 inhibitors (e.g., linagliptin) are effective with low hypoglycemia risk; linagliptin requires no dose adjustment. SGLT2 inhibitors (e.g., empagliflozin) reduce albuminuria and ESKD risk but are limited in eGFR < 45 mL/min/1.73 m2. GLP-1 RAs (e.g., semaglutide) slow eGFR decline. Dietary interventions, like the Mediterranean diet, reduce AGEs and preserve kidney function.
Table 1.
Safety and efficacy of hypoglycemic agents in CKD
| Agent | Safety in CKD | Efficacy | Considerations |
|---|---|---|---|
| Metformin | Safe in eGFR ≥30 mL/min/1.73 m2 with dose adjustments | Reduces mortality, ESKD risk | Low lactic acidosis risk[3] |
| Sulfonylureas | High hypoglycemia risk; contraindicated in severe CKD | Effective glycemic control | Avoid in eGFR <30 mL/min/1.73 m2[1] |
| DPP-4 inhibitors | Low hypoglycemia risk; linagliptin requires no dose adjustment | Reduces HbA1c; potential nephroprotection | Safe across CKD stages[4] |
| SGLT2 inhibitors | Nephroprotective; limited in eGFR <45 mL/min/1.73 m2 | Reduces albuminuria, ESKD risk | Initial eGFR dip, long-term benefits[5] |
| GLP-1 Ras | Potential renal benefits; cautious use in CKD | Slows eGFR decline | Increased hypoglycemia risk in some[6] |
Prognostic markers
Table 2 lists key prognostic markers. eGFR and UACR are primary tools, with mi- croalbuminuria (UACR ≥ 30 mg/g) indicating early DKD. Emerging biomarkers like lactate dehydrogenase (LDH) and collagen type III degradation product (C3M) correlate with CKD progression. Inflammatory markers (e.g., SII, SIRI) are cost-effective for DKD monitoring. HbA1c variability predicts CKD and CVD outcomes.
Table 2.
Prognostic markers for CKD in T2DM
| Marker | Role | Clinical relevance |
|---|---|---|
| eGFR | Measures kidney function | Defines CKD stages; predicts ESKD risk[7] |
| UACR | Detects albuminuria | Early DKD marker; ≥30 mg/g indicates microalbuminuria[7] |
| LDH | Indicates DKD risk | 45% increased risk with higher levels[8] |
| C3M | Reflects fibrosis | Correlates with CKD progression[9] |
| SII/SIRI | Inflammatory markers | Cost-effective for DKD monitoring[10] |
| HbA1c variability | Predicts complications | Independent predictor of CKD, CVD[11] |
DISCUSSION
The rising CKD prevalence in T2DM necessitates early detection and intervention. SGLT2 inhibitors and GLP-1 RAs offer cardiorenal benefits beyond glycemic control, yet under- utilization persists.[5] Metformin remains a safe, cost-effective first-line therapy in mild-to-moderate CKD, while DPP-4 inhibitors are preferred in advanced CKD.[3] Sulfonylureas require caution due to hypoglycemia risks. Dietary interventions complement pharmacological strategies by reducing AGEs. Emerging biomarkers like LDH and C3M enhance early detection but need validation.[5] Precision medicine, lever- aging genetic and inflammatory markers, is promising but underexplored. Limitations include healthcare access disparities and inadequate multidisciplinary coordination. Future research should focus on the long-term therapy outcomes, AI-driven risk prediction, and addressing socioeconomic barriers. Figure 1 illustrates a comprehensive management approach for CKD in T2DM.
Figure 1.

Holistic approach to managing diabetes and CKD
CONCLUSION
Chronic kidney disease in type 2 diabetes mellitus represents a complex, progressive complication requiring early detection and comprehensive management. Novel agents like SGLT2 inhibitors and GLP-1 receptor agonists provide cardiorenal protection beyond glycemic control, while biomarkers such as eGFR, UACR, LDH, and C3M aid in early diagnosis and prognosis. A multidisciplinary, precision medicine-based approach is essential to optimize outcomes, reduce ESKD risk, and address current gaps in care delivery.
Credit authorship contribution statement
All authors provided substantial contributions to the concept and design of the work, or the acquisition, analysis, or interpretation of data for the word, and drafting of the work or revising it critically for important intellectual content, and gave final approval of the version to be published, and agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
Data availability
All datasets generated or analyzed during this study are included in the manuscript.
Conflict of interest
The authors declare that there is no competing of interest
Acknowledgement
The authors would like to thank the Department of Pharmacology, Meenakshi Medical College, Meenakshi Academy of Higher Education and Research (MAHER) deemed to be University, Tamil Nadu.
Funding Statement
The author(s) received no financial support for the research, authorship and/or publication of this article.
REFERENCES
- 1.Hoogeveen EK. The epidemiology of diabetic kidney disease. Kidney and Dialysis. 2022;2:433–42. [Google Scholar]
- 2.Fox CS, Matsushita K, Woodward M, Bilo HJ, Chalmers J, Heerspink HJ, et al. Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without diabetes: A meta-analysis. Lancet (London, England) 2012;380:1662–73. doi: 10.1016/S0140-6736(12)61350-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Douros A, Rouette J, Yin H, Yu OHY, Filion KB, Azoulay L. Dipeptidyl peptidase 4 inhibitors and the risk of bullous pemphigoid among patients with type 2 diabetes. Diabetes Care. 2019;42:1496–503. doi: 10.2337/dc19-0409. [DOI] [PubMed] [Google Scholar]
- 4.Lukashevich V, Schweizer A, Shao Q, Groop PH, Kothny W. Safety and efficacy of vildagliptin versus placebo in patients with type 2 diabetes and moderate or severe renal impairment: A prospective 24-week randomized placebo-controlled trial. Diabetes Obes Metab. 2011;13:947–54. doi: 10.1111/j.1463-1326.2011.01467.x. [DOI] [PubMed] [Google Scholar]
- 5.Hillier TA, Pedula KL. Complications in young adults with early-onset type 2 diabetes. Diabetes Care. 2003;26:2999–3005. doi: 10.2337/diacare.26.11.2999. [DOI] [PubMed] [Google Scholar]
- 6.Perkovic V, Tuttle KR, Rossing P, Mahaffey KW, Mann JFE, Bakris G, et al. Effects of semaglutide on chronic kidney disease in patients with type 2 diabetes. N Engl J Med. 2024;391:109–21. doi: 10.1056/NEJMoa2403347. [DOI] [PubMed] [Google Scholar]
- 7.American Diabetes Association. 2. Classification and diagnosis of diabetes: Standards of medical care in diabetes-2018. Diabetes Care. 2018;41(Suppl 1):S13–27. doi: 10.2337/dc18-S002. [DOI] [PubMed] [Google Scholar]
- 8.Tang L, Yang Q, Ma R, Zhou P, Peng C, Xie C, et al. Association between lactate dehydrogenase and the risk of diabetic kidney disease in patients with type 2 diabetes. Front Endocrinol (Lausanne) 2024;15:1369968. doi: 10.3389/fendo.2024.1369968. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Colhoun HM, Marcovecchio ML. Biomarkers of diabetic kidney disease. Diabetologia. 2018;61:996–1011. doi: 10.1007/s00125-018-4567-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Baker NL, Hunt KJ, Stevens DR, Jarai G, Rosen GD, Klein RL, et al. Association between inflammatory markers and progression to kidney dysfunction: Examining different assessment windows in patients with type 1 diabetes. Diabetes Care. 2018;41:128–35. doi: 10.2337/dc17-0867. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Luk AO, Ma RC, Lau ES, Yang X, Lau WW, Yu LW, et al. Risk association of HbA1c variability with chronic kidney disease and cardiovascular disease in type 2 diabetes: Prospective analysis of the Hong Kong diabetes registry. Diabetes Metab Res Rev. 2013;29:384–90. doi: 10.1002/dmrr.2404. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All datasets generated or analyzed during this study are included in the manuscript.
