ASSESSMENT OF GLYCEMIC VARIABILITY AND OXIDATIVE STRESS IN TYPE 2 DIABETIC PATIENTS USING CONTINUOUS GLUCOSE MONITORING
- Authors
-
-
KAINAT BAKHTIAR
Author -
MUHAMMAD ARHAM RAUF
Author -
MUHAMMAD MOHID MAQSOOD
Author -
MALIK FARAZ AHMAD
Author
-
- Keywords:
- Type 2 diabetes mellitus, glycemic variability, continuous glucose monitoring, oxidative stress, malondialdehyde, total antioxidant capacity.
- Abstract
-
Background: Glycemic variability (GV) has emerged as an important metabolic parameter contributing to oxidative stress and the development of diabetic complications. Unlike glycated hemoglobin (HbA1c), which reflects mean glycemia, GV represents short-term glucose fluctuations that may exert greater oxidative injury.
Objective: This study aimed to assess the relationship between glycemic variability indices derived from continuous glucose monitoring (CGM) and oxidative stress biomarkers in patients with type 2 diabetes mellitus (T2DM).
Methods: A cross-sectional observational study was conducted from January 2024 to January 2025 at tertiary care centers in Punjab, Pakistan. One hundred T2DM patients aged 35–65 years were monitored using a Freestyle Libre Pro CGM device for 14 days. Glycemic indices including Mean Amplitude of Glycemic Excursion (MAGE), Standard Deviation (SD), and Coefficient of Variation (CV) were calculated. Serum malondialdehyde (MDA) and total antioxidant capacity (TAC) were analyzed to assess oxidative stress. Statistical analysis was performed using SPSS v26 with p < 0.05 considered significant.
Results: The mean MAGE was 67.4 ± 17.9 mg/dL, MDA was 4.7 ± 0.8 µmol/L, and TAC was 1.12 ± 0.21 mmol/L. Patients in the highest MAGE tertile exhibited significantly elevated MDA and reduced TAC compared to those in the lowest tertile (p < 0.001). MAGE showed a positive correlation with MDA (r = 0.64, p < 0.001) and a negative correlation with TAC (r = –0.59, p < 0.001).
Conclusion: Increased glycemic variability is strongly associated with elevated oxidative stress in T2DM, independent of HbA1c. CGM-based monitoring may serve as a valuable tool to identify high-risk patients and guide interventions aimed at reducing glucose fluctuations.
- References
-
1. Monnier L, Colette C. Glycemic variability: Should we and can we prevent it? Diabetes Care. 2018;41(10):2050–2055. doi:10.2337/dc18-0072
2. Wentholt IME, Hart AA, Hoekstra JBL, DeVries JH. How to assess and compare the variability of blood glucose levels? Diabetes Technol Ther. 2017;19(2):80–86. doi:10.1089/dia.2016.0263
3. Giacco F, Brownlee M. Oxidative stress and diabetic complications. Circ Res. 2018;122(5):751–772. doi:10.1161/CIRCRESAHA.117.311586
4. Ceriello A, Ihnat MA, Thorpe JE. Clinical review: The “metabolic memory” – the new challenge of diabetes. Diabetes Care. 2020;43(8):1838–1845. doi:10.2337/dc19-2870
5. Kilpatrick ES, Rigby AS, Atkin SL. The effect of glucose variability on the risk of microvascular complications in type 2 diabetes. Diabet Med. 2017;34(12):1600–1607. doi:10.1111/dme.13510
6. Madsen H, Nielsen MM, Andersen HU. Role of antioxidant capacity in diabetes management and vascular protection. Clin Chim Acta. 2019;495:287–293. doi:10.1016/j.cca.2019.04.014
7. Marra G, Bonfigli AR, Testa R. Continuous glucose monitoring and oxidative stress: New insights into diabetes management. Front Endocrinol. 2020;11:572. doi:10.3389/fendo.2020.00572
8. Wang J, Alexanian I, Kampmann U, et al. Effects of glycemic variability on endothelial function in type 2 diabetes. Cardiovasc Diabetol. 2016;15:68. doi:10.1186/s12933-016-0378-6
9. Rossi MC, Nicolucci A, Pellegrini F. Relationship between glycemic variability, oxidative stress, and diabetes complications. Nutrients. 2021;13(11):3942. doi:10.3390/nu13113942
10. Kuroda M, Shichiri M. Continuous glucose monitoring as a tool for evaluating glycemic variability and therapeutic efficiency. J Diabetes Investig. 2022;13(4):587–595. doi:10.1111/jdi.13743
11. Shah VN, Garg SK. Managing diabetes with continuous glucose monitoring: Evidence and clinical implications. Diabetes Technol Ther. 2019;21(S2):S17–S24. doi:10.1089/dia.2019.0043
12. Sacks DB, Arnold M, Bakris GL. Guidelines for laboratory analysis in diabetes mellitus. Clin Chem. 2019;65(5):663–689. doi:10.1373/clinchem.2018.294629
13. Piconi L, Quagliaro L, Ceriello A. Intermittent high glucose enhances apoptosis in endothelial cells through oxidative stress. Diabetes Metab Res Rev. 2017;33(3):e2841. doi:10.1002/dmrr.2841
14. Li X, Li T, Chen J. Glycemic variability and oxidative stress in diabetic retinopathy: A cross-sectional study. BMC Endocr Disord. 2020;20:176. doi:10.1186/s12902-020-00645-z
15. Dandona P, Ghanim H. Mechanisms of inflammation and oxidative stress in diabetes: Implications for therapy. Trends Endocrinol Metab. 2019;30(7):400–410. doi:10.1016/j.tem.2019.03.001
16. Su G, Mi S, Tao H, et al. Association of glycemic variability and oxidative stress with diabetic nephropathy in type 2 diabetes. J Diabetes Res. 2018;2018:5126985. doi:10.1155/2018/5126985
17. Hanefeld M, Koehler C, Hoffmann C. Postprandial glucose and glycemic variability: Impact on oxidative stress and vascular complications. Exp Clin Endocrinol Diabetes. 2021;129(3):174–182. doi:10.1055/a-1176-0923
18. Yamagishi S, Matsui T. Pathophysiological roles of oxidative stress and advanced glycation end products in diabetic microangiopathy. Int J Mol Sci. 2020;21(15):5451. doi:10.3390/ijms21155451
19. Otani H. Oxidative stress as pathogenesis of cardiovascular risk associated with metabolic syndrome. Antioxidants. 2022;11(3):482. doi:10.3390/antiox11030482
20. Wu T, Gao Y, Zheng L. Continuous glucose monitoring metrics and oxidative stress in patients with type 2 diabetes: A prospective study. Diabetes Res Clin Pract. 2023;204:110825. doi:10.1016/j.diabres.2023.110825
- Downloads
- Published
- 2025-05-30
- Section
- Original Articles
- License
-
Copyright (c) 2025 KAINAT BAKHTIAR, MUHAMMAD ARHAM RAUF, MUHAMMAD MOHID MAQSOOD, MALIK FARAZ AHMAD (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Most read articles by the same author(s)
- MUHAMMAD ARHAM RAUF, MUHAMMAD MOHID MAQSOOD, MALIK FARAZ AHMAD, MUHAMMAD ASAWIR IMRAN, Correlation Between Preoperative MRI Findings and Postoperative Outcomes in Lumbar Disc Herniation , ANNALS OF PAKISTAN MEDICAL & ALLIED PROFESSIONALS: Vol. 1 No. 3 (June) (2025): Annals Pak Med
