Singh S, Sharma VK, Shrivastav D. Molecular insights into hyperglycemia-associated coronary heart disease: From glycemic variability and heart rate dynamics to long noncoding RNAs. World J Diabetes 2026; 17(3): 115033 [DOI: 10.4239/wjd.v17.i3.115033]
Corresponding Author of This Article
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. dharmsheel.shrivastav1@gmail.com
Research Domain of This Article
Biochemistry & Molecular Biology
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Editorial
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This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Mar 15, 2026 (publication date) through Mar 15, 2026
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Journal Information of This Article
Publication Name
World Journal of Diabetes
ISSN
1948-9358
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
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Singh S, Sharma VK, Shrivastav D. Molecular insights into hyperglycemia-associated coronary heart disease: From glycemic variability and heart rate dynamics to long noncoding RNAs. World J Diabetes 2026; 17(3): 115033 [DOI: 10.4239/wjd.v17.i3.115033]
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. dharmsheel.shrivastav1@gmail.com
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
Abstract
The retrospective study was done by Li and Zhang suggested a complex association between by measuring heart rate dynamics and blood glucose variability in coronary heart disease with type 2 diabetes patients. The results suggest that disturbance in measurement of glucose like mean amplitude of glycemic excursions, mean of daily differences, largest amplitude of glycemic excursions and mean postprandial glucose excursions are relatively associated with dysregulated heart rate or heart rate variability and impaired cardiac function and can be an important biomarker for complication of cardiovascular diseases and immediate death. Further expanding these associations, recent molecular biological studies suggested that long non-coding RNAs PSMB8-AS-1, transcription factors PSMB9/ZEB-1/NONO linked with inflammation and vascular instability, and increase the risk of cardiovascular diseases. This study aims to explore the role of PSMB8-AS-1 and transcription factors PSMB9/ZEB-1/NONO in hyperglycemia-associated coronary heart disease.
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.
