Sodium-glucose cotransporter 2 inhibitors in the context of cardiorenal-metabolic comorbidity. Part 2: Metabolomic aspects of nephroprotection

Keywords: SGLT2 inhibitors, cardiorenal-metabolic syndrome, chronic kidney disease, metabolomics, precision medicine

Abstract

The article is the second part of a review series devoted to metabolomic aspects of nephroprotection in cardiorenal-metabolic comorbidity and the pleiotropic effects of sodium-glucose cotransporter 2 (SGLT2) inhibitors. Cardiorenal-metabolic syndrome, which integrates hypertension, type 2 diabetes mellitus, ischemic heart disease, and obesity, represents a pathological continuum associated with a high risk of chronic kidney disease (CKD) progression and cardiovascular events. Although SGLT2 inhibitors have fundamentally changed the organ-protective paradigm, clinical response remains heterogeneous, underscoring the need for predictive tools and personalized strategies. This review summarizes current clinical, experimental, and metabolomic evidence regarding the mechanisms underlying SGLT2 inhibitor–mediated nephroprotection. Patients with CKD in the setting of metabolic comorbidity demonstrate a characteristic metabolomic profile marked by mitochondrial dysfunction, impaired energy metabolism, accumulation of branched-chain amino acids, dysregulation of tricarboxylic acid cycle intermediates, oxidative stress, and chronic inflammation. Urinary 8-hydroxy-2′-deoxyguanosine is highlighted as a marker of DNA damage associated with albuminuria and glomerular filtration rate decline. SGLT2 inhibitors induce metabolic reprogramming toward more energy-efficient substrate utilization, restore mitochondrial bioenergetics, reduce renal hypoxia, and modulate lipidomic and inflammatory pathways. Identified metabolomic shifts correlate with regression of albuminuria and improved cardiovascular outcomes. Emerging data on biomarker panels, SLC5A2 genetic variants, and epigenetic mechanisms further support the concept of precision nephroprotection. Metabolomics is therefore evolving from a research tool into a promising clinical approach for patient stratification within the cardiorenal-metabolic continuum.

Downloads

Download data is not yet available.

References

Handelsman Y. Diabetes, cardiorenal, and metabolic multispecialty practice recommendations and early intensive management of cardio-renal-metabolic disease. Am J Manag Care. 2024;30(10 Suppl):189-96. doi: 10.37765/ajmc.2024.89671.

Kittelson KS, Junior AG, Fillmore N, da Silva Gomes R. Cardiovascular-kidney-metabolic syndrome - An integrative review. Prog Cardiovasc Dis. 2024;87:26–36. doi: 10.1016/j.pcad.2024.10.012.

Marassi M, Fadini GP. The cardio-renal-metabolic connection: a review of the evidence. Cardiovasc Diabetol. 2023;22(1):195. doi: 10.1186/s12933-023-01937-x.

Vecchio LD, Peiti S, Bella GP, Locatelli F, Vecchio LD, Peiti S, et al. SGLT2 Inhibitors in Glomerulonephritis: Beyond Nephroprotection? J Clin Med. 2025;14(10):3533. doi: 10.3390/jcm14103533.

Gao FM, Ali AS, Bellomo R, Gaca M, Lecamwasam A, Churilov L, et al. A Systematic Review and Meta-analysis on the Safety and Efficacy of Sodium-Glucose Cotransporter 2 Inhibitor Use in Hospitalized Patients. Diabetes Care. 2024;47(12):2275–90. doi: 10.2337/dc24-0946.

Siddiqui R, Obi Y, Dossabhoy NR, Shafi T. Is There a Role for SGLT2 Inhibitors in Patients with End-Stage Kidney Disease? Curr Hypertens Rep. 2024;26(12):463–74. doi: 10.1007/s11906-024-01314-3.

Martínez-Rojas MÁ, Bobadilla NA. Sodium-glucose cotransporter 2 inhibitors: a novel approach to prevent the transition from acute kidney injury to chronic kidney disease. Curr Opin Nephrol Hypertens. 2025;34(5):433–9. doi: 10.1097/MNH.0000000000001080.

Tsai Y-C, Huang J-C, Yu P-S, Kuo M-C, Wu L-Y, Chang W-A, et al. Sodium-glucose cotransporter 2 inhibitors ameliorate glutathione cysteine ligase modifier-mediated oxidative stress and subsequent ferroptosis in proximal tubules of diabetic kidney disease. Redox Rep. 2025;30(1):2528334. doi: 10.1080/13510002.2025.2528334.

Bae JH. SGLT2 Inhibitors and GLP-1 Receptor Agonists in Diabetic Kidney Disease: Evolving Evidence and Clinical Application. Diabetes Metab J. 2025;49(3):386–402. doi: 10.4093/dmj.2025.0220.

Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group. KDIGO 2024 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease. Kidney Int. 2024;105(4S):S117–314. doi: 10.1016/j.kint.2023.10.018.

Wu Q, Zhang J, Zhang F, Li D. SGLT2 inhibitors as metabolic modulators: beyond glycemic control in type 2 diabetes. Front Endocrinol (Lausanne). 2025;16:1601633. doi: 10.3389/fendo.2025.1601633.

Clark-ElSayed A, Ellington AD, Marcotte EM. Moving towards sequencing-based metabolomics. Trends Genet. 2025;41(7):554–55. doi: 10.1016/j.tig.2025.04.006.

Vo D-K, Trinh KTL. Emerging Biomarkers in Metabolomics: Advancements in Precision Health and Disease Diagnosis. Int J Mol Sci. 2024;25(23):13190. doi: 10.3390/ijms252313190.

Annual report 2022-23. New Delhi: Ministry of Science & Technology. Government of India. [Internet].2023:240 p. Available from: https://dbtindia.gov.in/sites/default/files/Final%20Annual%20Report%20English%202022-23.pdf.

Karakas E, Bulut M, Fernie A. Metabolome guided treasure hunt - learning from metabolic diversity. J Plant Physiol.2025;309:154494. doi: 10.1016/j.jplph.2025.154494.

Zlatkina VV, Nesen AO, Demikhova NV. Sodium-glucose cotransporter 2 inhibitors in the context of cardiorenal-metabolic comorbidity. Part 1: Pathophysiology and key clinical studies. Ukr J Nephrol Dial. 2025;4[88]:88–97. doi: 10.31450/ukrjnd.4(88).2025.10.

AstraZeneca. A Study to Evaluate the Effect of Dapagliflozin on Renal Outcomes and Cardiovascular Mortality in Patients With Chronic Kidney Disease. [Internet]. clinicaltrials.gov; 2021 June. Report No.: NCT03036150. Available from: https://clinicaltrials.gov/study/NCT03036150.

Heerspink HJL, Stefansson BV, Chertow GM, Correa-Rotter R, Greene T, Hou F-F, et al. Rationale and protocol of the Dapagliflozin And Prevention of Adverse outcomes in Chronic Kidney Disease (DAPA-CKD) randomized controlled trial. Nephrol Dial Transplant. 2020;35(2):274–82. doi: 10.1093/ndt/gfz290.

Boehringer Ingelheim. A Multicentre International Randomized Parallel Group Double-blind Placebo-controlled Clinical Trial of EMPAgliflozin Once Daily to Assess Cardio-renal Outcomes in Patients With Chronic KIDNEY Disease [Internet]. clinicaltrials.gov; 2025 June. Report No.: NCT03594110. Available from: https://clinicaltrials.gov/study/NCT03594110.

The EMPA-KIDNEY Collaborative Group, Herrington WG, Staplin N, Wanner C, Green JB, Hauske SJ, et al. Empagliflozin in Patients with Chronic Kidney Disease. N Engl J Med. 2023;388(2):117–27. doi: 10.1056/NEJMoa2204233.

Mottl AK, Nicholas SB. KDOQI Commentary on the KDIGO 2022 Update to the Clinical Practice Guideline for Diabetes Management in CKD. Am J Kidney Dis. 2024;83(3):277-87. doi: 10.1053/j.ajkd.2023.09.003.

Navaneethan SD, Bansal N, Cavanaugh KL, Chang A, Crowley S, Delgado C, et al. KDOQI US Commentary on the KDIGO 2024 Clinical Practice Guideline for the Evaluation and Management of CKD. Am J Kidney Dis. 2025;85(2):135–76. doi: 10.1053/j.ajkd.2024.08.003.

Kidney Disease: Improving Global Outcomes (KDIGO) Diabetes Work Group. KDIGO 2022 Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease. Kidney Int.2022;102(5S):128. doi: 10.1016/j.kint.2022.06.008.

Mach F, Koskinas KC, Roeters van Lennep JE, Tokgözoğlu L, Badimon L, Baigent C, et al. 2025 Focused Update of the 2019 ESC/EAS Guidelines for the management of dyslipidaemias: Developed by the task force for the management of dyslipidaemias of the European Society of Cardiology (ESC) and the European Atherosclerosis Society (EAS). Eur Heart J. 2025;46(42):4359-4378. doi: 10.1093/eurheartj/ehaf190.

Marx N, Federici M, Schütt K, Müller-Wieland D, Ajjan RA, Antunes MJ, et al. 2023 ESC Guidelines for the management of cardiovascular disease in patients with diabetes: Developed by the task force on the management of cardiovascular disease in patients with diabetes of the European Society of Cardiology (ESC). Eur Heart J. 2023;44(39):4043-140. doi: 10.1093/eurheartj/ehad192.

Summary of revisions: Standards of care in diabetes - 2025. Diabetes Care. 2024;48(Supplement 1):S6–13. doi: 10.2337/dc25-SREV.

American Diabetes Association Professional Practice Committee for Diabetes. Summary of Revisions: Standards of Care in Diabetes-2026. Diabetes Care. 2026;49(Supplement 1):S6-12. doi: 10.2337/dc26-SREV.

Li J, Yu Y, Sun Y, Fu Y, Shen W, Cai L, et al. Nuclear magnetic resonance-based metabolomics with machine learning for predicting progression from prediabetes to diabetes. Elife. 2024;13:RP98709. doi: 10.7554/eLife.98709.

Setoyama D, Han D, Tian J, Lee HY, Shin HS, Nga HT, et al. Comparative Analysis of Primary Sarcopenia and End-Stage Renal Disease-Related Muscle Wasting Using Multi-Omics Approaches. J Cachexia Sarcopenia Muscle. 2025;16(2):e13749. doi: 10.1002/jcsm.13749.

Theodorakis N, Nikolaou M. From cardiovascular-kidney-metabolic syndrome to cardiovascular-renal-hepatic-metabolic syndrome: Proposing an expanded framework. Biomolecules. 2025;15(2):213. doi: 10.3390/biom15020213.

Kyriakidou A, Koufakis T, Gika H, Kotsa K. Metabolomics Insights into the Benefits of SGLT2 Inhibitors in Type 2 Diabetes. Clin Pharmacol. 2025;17:253–67. doi: 10.2147/CPAA.S497906.

Sakamoto M, Hasuzawa N, Wang L, Tashiro K, Kitamura M, Iwata S, et al. Sodium-glucose cotransporter 2 inhibitors-but not insulin-enhance renal branched-chain amino acid catabolism. Front Endocrinol (Lausanne). 2025;16:1706838. doi: 10.3389/fendo.2025.1706838.

Mulder S, Hammarstedt A, Nagaraj SB, Nair V, Ju W, Hedberg J, et al. A metabolomics‐based molecular pathway analysis of how the sodium‐glucose co‐transporter‐2 inhibitor dapagliflozin may slow kidney function decline in patients with diabetes. Diabetes Obes Metab. 2020;22(7):1157–66. doi: 10.1111/dom.14018.

Zlatkina V, Karaya O, Yarmish N, Shalimova A. Trigger mechanisms in insulin resistance and diabetes mellitus development. VP. 2019;3(1):7. doi: 10.20517/2574-1209.2019.03.

Pivtorak K, Fedzhaga I, Pivtorak N, Vozniuk L, Klekot O. Fat and muscle components of body weight and their relationship with the concentration of serum adipokines in patients with nonalcoholic fatty liver disease. Wiad Lek. 2022;75(5 pt 2):1289-94. doi: 10.36740/WLek202205210.

Demikhova N, Kuts L, Bokova S, Merisalu E, Vlasenko O. Diagnostic and therapeutic potential of interleukin-37 in kidney diseases: A mini-review. Ukr J Nephrol Dial. 2025;2(86):90-7. doi: 10.31450/ukrjnd.2(86).2025.09.

Bauer KI, Baker D, Lerner R, Koeck T, Buch G, Fischer Z, et al. Effect of Empagliflozin on the plasma lipidome in patients with type 2 diabetes mellitus: results from the EmDia clinical trial. Cardiovasc Diabetol. 2025;24(1):359. doi: 10.1186/s12933-025-02916-0.

Mulder S, Hammarstedt A, Nagaraj SB, Nair V, Ju W, Hedberg J, et al. A metabolomics‐based molecular pathway analysis of how the sodium‐glucose co‐transporter‐2 inhibitor dapagliflozin may slow kidney function decline in patients with diabetes. Diabetes Obes Metab. 2020;22(7):1157–66. doi: 10.1111/dom.14018.

Vallon V, Verma S. Effects of SGLT2 Inhibitors on Kidney and Cardiovascular Function. Annu Rev Physiol. 2021;83:503-28. doi: 10.1146/annurev-physiol-031620-095920.

Oladimeji E. Diabetic Kidney Disease: Biomarkers May Predict SGTL2 Inhibitor Response. [Internet]. 2025. Available from: https://www.medcentral.com/nephrology/diabetic-kidney-disease-biomarkers-may-predict-sgtl2-inhibitor-response.

Allaire P, Fox J, Kitchner T, Gabor R, Folz C, Bettadahalli S, et al. Familial Renal Glucosuria and Potential Pharmacogenetic Impact on Sodium-Glucose Cotransporter-2 Inhibitors. Kidney360. 2025;6[4]:521-30. doi: 10.34067/KID.0000000621.

Liu G. Assessment of the effect of the SLC5A2 gene on eGFR: a Mendelian randomization study of drug targets for the nephroprotective effect of sodium-glucose cotransporter protein 2 inhibition. Front Endocrinol (Lausanne). 2024;15:1418575. doi: 10.3389/fendo.2024.1418575.

Abou Warda AE, Flohr RM, Sarhan RM, Salem MN, Salem HF, Moharram AN, et al. Genetic polymorphisms in SLC5A2 are associated with clinical outcomes and dapagliflozin response in heart failure patients. Front Pharmacol. 2025;16:1539870. doi: 10.3389/fphar.2025.1539870.

Maekawa H, Zhou Y, Aoi Y, Fain ME, Kaminski DS, Kong H, et al. SGLT2 inhibition protects kidney function by SAM-dependent epigenetic repression of inflammatory genes under metabolic stress. J Clin Invest. 2025;135(19):e188933. doi: 10.1172/JCI188933.


Abstract views: 226
PDF Downloads: 106
Published
2026-03-05
How to Cite
Zlatkina, V. V., Nesen, A. O., & Demikhova, N. V. (2026). Sodium-glucose cotransporter 2 inhibitors in the context of cardiorenal-metabolic comorbidity. Part 2: Metabolomic aspects of nephroprotection. Ukrainian Journal of Nephrology and Dialysis, (1(89), 94-100. https://doi.org/10.31450/ukrjnd.1(89).2026.10