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World J Diabetes. Mar 15, 2026; 17(3): 115033
Published online Mar 15, 2026. doi: 10.4239/wjd.v17.i3.115033
Published online Mar 15, 2026. doi: 10.4239/wjd.v17.i3.115033
Molecular insights into hyperglycemia-associated coronary heart disease: From glycemic variability and heart rate dynamics to long noncoding RNAs
Shilpy Singh, Varun Kumar Sharma, Dharmsheel Shrivastav, Department of Biotechnology, Microbiology and Forensic Sciences, School of Sciences, Noida International University, Greater Noida 203201, Uttar Pradesh, India
Co-corresponding authors: Varun Kumar Sharma and Dharmsheel Shrivastav.
Author contributions: Sharma VK commented on previous versions of the manuscript; Sharma VK and Shrivastav D performed conception and content collection as co-corresponding authors; Shrivastav D wrote the first draft of the manuscript; Singh S, Sharma VK, and Shrivastav D were responsible for final review and editing of the manuscript; all authors contributed to the study design, read and approved the final manuscript.
Conflict-of-interest statement: All authors declare no conflict of interest in publishing the manuscript.
Corresponding author: Dharmsheel Shrivastav, PhD, Assistant Professor, Department of Biotechnology, Microbiology and Forensic Sciences, School of Sciences, Noida International University, Plot 1, Yamuna Expy, Sector 17A, Greater Noida 203201, Uttar Pradesh, India.
Received: October 9, 2025
Revised: November 20, 2025
Accepted: December 17, 2025
Published online: March 15, 2026
Processing time: 157 Days and 21.6 Hours
Revised: November 20, 2025
Accepted: December 17, 2025
Published online: March 15, 2026
Processing time: 157 Days and 21.6 Hours
Core Tip
Core Tip: The retrospective study by Li and Zhang highlights the interplay between glycemic variability and heart rate dynamics in elderly patients with type 2 diabetes and coronary heart disease. It demonstrates that combining glucose excursion markers surpasses traditional heart rate variability indices in predicting myocardial ischemia. Emerging evidence implicates lncRNA PSMB8-AS-1 and transcription factor triads (PSMB9/ZEB-1/NONO) in linking inflammation and vascular instability to acute coronary syndromes. These findings support integrating dynamic glucose monitoring with molecular biomarker profiling to enhance precision cardiovascular risk stratification in diabetic patients.