Paradigm Shift in the Pathophysiology and Treatment of Insulin Resistance: From Epigenetic Determinants to the Continuous Glucose Monitoring (CGM) Revolution
DOI:
https://doi.org/10.12775/JEHS.2026.90.70467Keywords
insulin resistance, hyperinsulinemia, continuous glucose monitoring, epigenetics, GLP-1 agonists, metabolic syndromeAbstract
Introduction and purpose. The classical approach to metabolic diseases traditionally positioned insulin resistance as the primary cause of evolving pathology. However, modern evidence-based medicine indicates a critical need to redefine this view, demonstrating that hyperinsulinemia is an early, independent damaging factor that may precede clinical dysglycemia by a full decade. The fundamental aim of this study is to thoroughly analyze scientific evidence regarding the multifaceted pathogenesis, novel diagnostics, and modern treatment paradigms of insulin resistance and hyperinsulinemia.
A brief description of the state of knowledge. Based on a comprehensive review of 49 targeted publications, it was shown that insulin resistance pathophysiology involves complex DNA methylation mechanisms, aldosterone excess, and consequent changes in neural connectivity. Furthermore, genetic analyses definitively confirm the causal link between hyperinsulinemia and systemic complications like gout. A highly effective diagnostic tool is the widespread adoption of Continuous Glucose Monitoring (CGM) systems, which measure interstitial fluid glucose and enable rigorous analysis of Time in Range (TIR) and Time Above Range (TAR) in individuals without diagnosed diabetes. Therapeutically, pivotal recent trials demonstrate the high efficacy of multi-receptor incretin agonists (e.g., GLP-1, GIP, Glucagon) and SGLT2 inhibitors in radically improving insulin sensitivity and comprehensive cardiometabolic profiles.
Summary. Monitoring subclinical glucose fluctuations with advanced CGM technologies is a highly useful prophylactic tool. Interventions based on targeted lifestyle modifications and modern multi-target pharmacotherapy successfully promote the regression of prediabetes, significantly reducing the risk of vascular complications. Ensuring up-to-date classifications is necessary for accurate differential diagnosis and early implementation of targeted interventions.
References
1. Ahmad E, Lim S, Lamptey R, et al. Type 2 diabetes. Lancet. 2022;400(10365):1803-1820. https://doi.org/10.1016/S0140-6736(22)01655-5
2. International Diabetes Federation. IDF Diabetes Atlas, 11th edition. 2025. https://doi.org/10.1093/ndt/gfaf177
3. Laursen TL, Hagemann CA, Wei C, et al. Bariatric surgery in patients with non-alcoholic fatty liver disease - from pathophysiology to clinical effects. World J Hepatol. 2019;11(2):138-149. https://doi.org/10.4254/wjh.v11.i2.138
4. Harreiter J, Roden M. Diabetes mellitus – Definition, Klassifikation, Diagnose, Screening und Prävention (Update 2023). Wien Klin Wochenschr. 2023;135(Suppl 1):7-17. https://doi.org/10.1007/s00508-022-02122-y
5. Ruze R, Liu T, Zou X, et al. Obesity and type 2 diabetes mellitus: connections in epidemiology, pathogenesis, and treatments. Front Endocrinol (Lausanne). 2023;14:1161521. https://doi.org/10.3389/fendo.2023.1161521
6. Petersen MC, Shulman GI. Mechanisms of Insulin Action and Insulin Resistance. Physiol Rev. 2018;98(4):2133-2223. https://doi.org/10.1152/physrev.00063.2017
7. Accili D, Deng Z, Liu Q. Insulin resistance in type 2 diabetes mellitus. Nat Rev Endocrinol. 2025;21(7):413-426. https://doi.org/10.1038/s41574-025-01234-x
8. Nolan CJ, Prentki M. Insulin resistance and insulin hypersecretion in the metabolic syndrome and type 2 diabetes: Time for a conceptual framework shift. Diab Vasc Dis Res. 2019;16(2):118-127. https://doi.org/10.1177/1479164119827611
9. Gołacki J. Insulin resistance – the basics every medical specialist should know. Journal of Education, Health and Sport. 2022;12(7):179-184. https://doi.org/10.12775/JEHS.2022.12.07.017
10. Abdul-Ghani M, DeFronzo RA. Insulin Resistance and Hyperinsulinemia: the Egg and the Chicken. J Clin Endocrinol Metab. 2021;106(4):e1897-e1899. https://doi.org/10.1210/clinem/dgaa937
11. Pleus S, Tytko A, Landgraf R, et al. Definition, Classification, Diagnosis and Differential Diagnosis of Diabetes Mellitus: Update 2024. Exp Clin Endocrinol Diabetes. 2024;132(3):112-124. https://doi.org/10.1055/a-2253-5353
12. Pennings N, Jaber J, Ahiawodzi P. Ten-year weight gain is associated with elevated fasting insulin levels and precedes glucose elevation. Diabetes Metab Res Rev. 2018;34(4):e2986. https://doi.org/10.1002/dmrr.2986
13. Thomas DD, Corkey BE, Istfan NW, Apovian CM. Hyperinsulinemia: An Early Indicator of Metabolic Dysfunction. J Endocr Soc. 2019;3(9):1727-1747. https://doi.org/10.1210/js.2019-00065
14. Zahalka SJ, Galindo RJ, Shah VN, Low Wang CC. Continuous glucose monitoring for prediabetes: what are the best metrics? J Diabetes Sci Technol. 2024;18:835–846. https://doi.org/10.1177/19322968241242487
15. Parcha V, Heindl B, Kalra R, et al. Insulin Resistance and Cardiometabolic Risk Profile Among Nondiabetic American Young Adults: Insights From NHANES. J Clin Endocrinol Metab. 2022;107(1):e25-e37. https://doi.org/10.1210/clinem/dgab645
16. Nellaiappan K, Preeti K, Khatri DK, Singh SB. Diabetic Complications: An Update on Pathobiology and Therapeutic Strategies. Curr Diabetes Rev. 2022;18(1):e030821192146. https://doi.org/10.2174/1573399817666210309104245
17. Ogawa W, Araki E, Ishigaki Y, et al. New classification and diagnostic criteria for insulin resistance syndrome. Endocr J. 2022;69(2):107-113. https://doi.org/10.1507/endocrj.EJ21-0725
18. Brown JC, Harhay MO, Harhay MN. The Value of Anthropometric Measures in Nutrition and Metabolism: Comment on Anthropometrically Predicted Visceral Adipose Tissue and Blood-Based Biomarkers: A Cross-Sectional Analysis. Nutr Metab Insights. 2019;12:1178638819831712. https://doi.org/10.1177/1178638819831712
19. Młynarska E, Czarnik W, Dzieża N, et al. Type 2 Diabetes Mellitus: New Pathogenetic Mechanisms, Treatment and the Most Important Complications. Int J Mol Sci. 2025;26(3):1094. https://doi.org/10.3390/ijms26031094
20. American Diabetes Association Professional Practice Committee. 2. Diagnosis and classification of diabetes: Standards of Care in Diabetes—2024. Diabetes Care. 2024;47(Suppl. 1):S20–S42. https://doi.org/10.2337/dc24-S002
21. American Diabetes Association Professional Practice Committee. 7. Diabetes technology: Standards of Care in Diabetes—2024. Diabetes Care. 2024;47(Suppl. 1):S126–S144. https://doi.org/10.2337/dc24-S007
22. Cole JB, Florez JC. Genetics of diabetes mellitus and diabetes complications. Nat Rev Nephrol. 2020;16(7):377-390. https://doi.org/10.1038/s41581-020-0278-5
23. Hossan T, Kundu S, Alam SS, Nagarajan S. Epigenetic Modifications Associated with the Pathogenesis of Type 2 Diabetes Mellitus. Endocr Metab Immune Disord Drug Targets. 2019;19(6):775-786. https://doi.org/10.2174/1871530319666190301145545
24. Poston L. Intergenerational epigenetic inheritance in models of developmental programming of adult disease. Prog Biophys Mol Biol. 2011;106(1):315-22. https://doi.org/10.1016/j.pbiomolbio.2011.01.007
25. Lu J, et al. Epigenetic biomarkers predict macrovascular events in individuals with type 2 diabetes. Cell Rep Med. 2025;6(8):102290. https://doi.org/10.1016/j.xcrm.2025.102290
26. Perreault L, Pan Q, Schroeder EB, et al. Regression From Prediabetes to Normal Glucose Regulation and Prevalence of Microvascular Disease in the Diabetes Prevention Program Outcomes Study (DPPOS). Diabetes Care. 2019;42(9):1809-1815. https://doi.org/10.2337/dc19-0244
27. Bothou C, Beuschlein F, Spyroglou A. Links between aldosterone excess and metabolic complications: A comprehensive review. Diabetes Metab. 2020;46(1):1-7. https://doi.org/10.1016/j.diabet.2019.02.003
28. Heni M. The insulin resistant brain: impact on whole-body metabolism and body fat distribution. Diabetologia. 2024;67(7):1181-1191. https://doi.org/10.1007/s00125-024-06104-9
29. Hoang H, Lacadie C, Hwang J, et al. Low-calorie diet-induced weight loss is associated with altered brain connectivity and food desire in obesity. Obesity (Silver Spring). 2024;32:1362–1372. https://doi.org/10.1002/oby.24046
30. Viigimaa M, Sachinidis A, Toumpourleka M, et al. Macrovascular Complications of Type 2 Diabetes Mellitus. Curr Vasc Pharmacol. 2020;18(2):110-116. https://doi.org/10.2174/1570161117666190503102437
31. McCormick N, O'Connor MJ, Yokose C, et al. Assessing the Causal Relationships Between Insulin Resistance and Hyperuricemia and Gout Using Bidirectional Mendelian Randomization. Arthritis Rheumatol. 2021;73(11):2096-2104. https://doi.org/10.1002/art.41779
32. Hjort A, Iggman D, Rosqvist F. Glycemic variability assessed using continuous glucose monitoring in individuals without diabetes and associations with cardiometabolic risk markers: a systematic review and meta-analysis. Clin Nutr. 2024;43(4):915–925. https://doi.org/10.1016/j.clnu.2024.02.003
33. Chaudhary R, Ali O, Kumar A, et al. Double diabetes: A converging metabolic and autoimmune disorder redefining the classification and management of diabetes. Cureus. 2025;17(3):e80495. https://doi.org/10.7759/cureus.80495
34. Metwally AA, Perelman D, Park H, et al. Prediction of metabolic subphenotypes of type 2 diabetes via continuous glucose monitoring and machine learning. Nat Biomed Eng. 2025;9(8):1222–1239. https://doi.org/10.1038/s41551-024-01311-6
35. Rizzo MR, Di Meo I, Polito R, et al. Cognitive impairment and type 2 diabetes mellitus: Focus of SGLT2 inhibitors treatment. Pharmacol Res. 2022;176:106062. https://doi.org/10.1016/j.phrs.2021.106062
36. Sacks DB, Arnold M, Bakris GL, et al. Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus. Diabetes Care. 2023;46(10):e151-e199. https://doi.org/10.2337/dci23-0036
37. Klonoff DC, Nguyen KT, Xu NY, et al. Use of continuous glucose monitors by people without diabetes: an idea whose time has come? J Diabetes Sci Technol. 2023;17(6):1686–1697. https://doi.org/10.1177/19322968221110830
38. Belfort-DeAguiar R, Yeckel CW, Elshafie A, et al. Association of Insulin Resistance and Insulin Secretion Indices and Glucose Metrics From Continuous Glucose Monitoring in People With Obesity. Diabetes Care. 2026;49(1):152-160. https://doi.org/10.2337/dc25-0154
39. Holzer R, Bloch W, Brinkmann C. Continuous glucose monitoring in healthy adults—possible applications in health care, wellness, and sports. Sensors (Basel). 2022;22(5):2030. https://doi.org/10.3390/s22052030
40. Marco A, Pazos-Couselo M, Moreno-Fernandez J, et al. Time above range for predicting the development of type 2 diabetes. Front Public Health. 2022;10:1005513. https://doi.org/10.3389/fpubh.2022.1005513
41. Spartano NL, Sultana N, Lin H, et al. Defining continuous glucose monitor time in range in a large, community-based cohort without diabetes. J Clin Endocrinol Metab. 2025;110(4):1128–1134. https://doi.org/10.1210/clinem/dgae626
42. Daya NR, Fang M, Wang D, et al. Glucose abnormalities detected by continuous glucose monitoring in very old adults with and without diabetes. Diabetes Care. 2025;48(3):416–421. https://doi.org/10.2337/dc24-1188
43. Xiao Q, et al. Effectiveness of digital therapeutics interventions in the management of patients with diabetes. J Med Internet Res. 2025. https://doi.org/10.2196/jmir.9133
44. Deacon CF. Physiology and Pharmacology of DPP-4 in Glucose Homeostasis and the Treatment of Type 2 Diabetes. Front Endocrinol (Lausanne). 2019;10:80. https://doi.org/10.3389/fendo.2019.00080
45. Artasensi A, Pedretti A, Vistoli G, et al. Type 2 Diabetes Mellitus: A Review of Multi-Target Drugs. Molecules. 2020;25(8):1987. https://doi.org/10.3390/molecules25081987
46. Kahn SE, Deanfield JE, Jeppesen OK, et al. Effect of semaglutide on regression and progression of glycemia in people with overweight or obesity but without diabetes in the SELECT trial. Diabetes Care. 2024;47(8):1350–1359. https://doi.org/10.2337/dc24-0491
47. Eli Lilly and Company. TRANSCEND-T2D-1: A Randomized, Double-Blind, Phase 3 Study to Investigate the Efficacy and Safety of Retatrutide. ClinicalTrials.gov. 2026. https://clinicaltrials.gov/ct2/show/NCT05882045
48. Taylor SI, Yazdi ZS, Beitelshees AL. Pharmacological treatment of hyperglycemia in type 2 diabetes. J Clin Invest. 2021;131(2):e142243. https://doi.org/10.1172/JCI142243
49. Młynarska E, Buławska D, Czarnik W, et al. Novel insights into diabetic kidney disease. Int J Mol Sci. 2024;25(18):10222. https://doi.org/10.3390/ijms251810222
50. Cieleban N, Rucki M, Rucka A. SGLT2 Inhibitors in Heart Failure with Coexisting Chronic Kidney Disease. Journal of Education, Health and Sport. 2026;89:69727. https://doi.org/10.12775/JEHS.2026.89.69727
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Copyright (c) 2026 Emilia Piaszczyńska, Magdalena Mulawa , Dominika Matacz , Karolina Mazur, Kamila Krycia , Aleksandra Gałuszka, Karolina Różycka , Sandra Drabik, Maja Gałuszka, Adrianna Adamczyk

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