BPG is committed to discovery and dissemination of knowledge
Editorial Open Access
Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Diabetes. Mar 15, 2026; 17(3): 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
ORCID number: Dharmsheel Shrivastav (0000-0002-2022-3290).
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.

Key Words: Long non-coding RNA; Transcription factor; Diabetes mellitus; Coronary artery disease; Glycemic variability

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.



INTRODUCTION

Diabetes mellitus (DM) is one of the most pervasive chronic metabolic disorders, characterized by impaired glucose utilization and excessive hepatic glucose output through glycogenolysis and gluconeogenesis, ultimately resulting in sustained hyperglycemia (American Diabetes Association, 2025)[1]. The diagnosis of DM is established through elevated plasma glucose concentrations and increased glycated hemoglobin (HbA1c) levels[2]. Beyond metabolic disruption, DM contributes significantly to the burden of cardiovascular diseases (CVD), particularly coronary artery disease (CAD), underscoring the intricate interplay between metabolic and vascular dysfunction[3].

CAD, also known as ischemic heart disease, arises from progressive narrowing or obstruction of the coronary arteries due to atherosclerosis, thereby impairing oxygen and nutrient delivery to the myocardium[4]. As the disease advances, myocardial ischemia ensues when oxygen demand exceeds supply, which may culminate in total arterial occlusion and infarction. Clinically, patients often present with chest pain, dyspnea, diaphoresis, nausea, and generalized malaise hallmarks of myocardial infarction. The poor management of CAD causes malfunction of heart structure and function deformities and ultimately cause heart failure and arrhythmias[5]. Moreover, in diabetic individuals the consequences of CVD which show the urgent need to explore rigorous association hyperglycemia and CVD specifically molecular mechanism. In the pathophysiology of hyperglycemia-associated coronary heart disease (HACHD) it is suggested that the elevated level of glucose non-enzymatically reacts with collagen molecule and form advanced glycation end products and these advanced glycation end products bind with its receptors of advanced glycation end product and start various pathways which cause CVD. Further, hyperglycemia itself generates oxidative stress and affect various metabolic pathways and cause CVD[6].

To bridging cardiac dysfunction and hyperglycemia, Li and Zhang[7] conduct a retrospective study in which authors keen to observe the association between heart rate dynamics and blood glucose variability in type 2 DM with CAD in elderly patients. Authors measure various fluctuations of glucose in a specific period and calculate mean postprandial glucose excursions (MPPGE) and mean amplitude of glycemic excursions (MAGE) correlate with reduced heart rate variability (HRV). In statistical analysis the authors found inverse association between these glycaemia parameters inversely associated with HRV. Further, combined analysis of MPPGE and MAGE shows higher predictive accuracy for myocardial ischemia compared to traditional HRV indices. These observations emphasize the glycemic control plays major and important role in pathophysiology of CVD and suggest contentious glucose monitoring increases the risk stratification in HACHD.

For further expanding these clinical associations, several studies in molecular biology uncovered and functional and regulatory role of long non-coding RNAs (lncRNAs) in HACHD. The lncRNAs have more than 200 nucleotide long noncoding transcripts and show regulatory role in gene expression at various levels like post transcriptional, transcriptional and epigenetic level[8]. Several studies have identified lncRNAs specifically NEAT1, HOTAIR and MALAT1 are major regulators in HACHD, affecting cellular function of pancreatic beta cells, resistance against insulin, endothelial injury and vascular inflammation[9,10]. Overall, it can be inferred that lncRNAs may act as both potential biomarkers and molecular mediators in HACHD and its progression.

Further recent study by Wang et al[11] identified PSMB8-AS-1 (PSMB8 antisense RNA 1) lncRNA as a major gene regulator in acute coronary syndrome, where it promotes vascular inflammation by targeting and upregulation of vascular cell adhesion molecule 1 (VCAM-1) and intercellular adhesion molecule-1 (ICAM-1). Further, Li et al[12] revealed that PSMB8-AS-1 (forced expression) increase atherogenesis by upregulating endothelial adhesion molecule expression like VCAM-1 and ICAM-1. Mechanistically, PSMB8-AS-1 recruits the transcription factor NONO to the PSMB9 promoter, thereby increasing VCAM-1 and ICAM-1 expression via ZEB1 activation. This PSMB8-AS-1/NONO/PSMB9/ZEB1 regulatory axis has emerged as a key contributor to vascular inflammation and atherosclerotic progression, with its inhibition offering therapeutic potential[7]. Thus, the molecular crosstalk between lncRNAs and transcriptional networks provides a promising avenue for novel therapeutic interventions.

In this context, PSMB9, an immunoproteasome-specific subunit, plays an indispensable role in protein homeostasis, particularly under cellular stress and mitochondrial dysfunction. Upregulation of PSMB9 enhances proteasomal degradation, preventing toxic protein aggregation and mitigating inflammatory stress. However, in hyperglycemic conditions, dysregulation of PSMB9 impairs proteostasis, exacerbates inflammation, and precipitates endothelial dysfunction[13,14]. EEF1A2, a translation elongation factor, further modulates PSMB9 expression, while molecular chaperones such as HSPB1 safeguard protein folding during oxidative stress[15]. The delicate balance of these molecular interactions is therefore critical to maintaining cardiovascular health under diabetic stress.

Additionally, the transcription factor ZEB1, a zinc finger protein, regulates a wide range of physiological processes. Under normal physiological conditions, ZEB1 supports endothelial cell survival and vascular integrity; however, in disease condition like diabetes it promotes various cell processes like angiogenesis, cell migration, and epithelial-to-mesenchymal transition[16], it also regulates adhesion of the monocyte, macrophage and accumulation of lipid and smooth muscle proliferation and ultimately increases atherosclerosis[17]. Moreover, studies reported that in diabetic condition elevated level of ZEB-1 increases the level of inflammatory cytokines like interleukin-6 and interleukin-8 and promotes myocardial injury and causes CVD[18]. Experimental studies suggested that repression of ZEB-1 by microRNA miR-200b-3p reduce the inflammation and CVD consequences[19]. These findings shed light on ZEB1 may act as a double-edged regulator, promoting angiogenesis and exacerbating vascular injury in HACHD. Furthermore, it is also suggested that regulation of ZEB1 affects the NONO, plays important roles extracellular matrix remodeling, gene transcription and cardiac metabolism. Studies suggested that deficiency of NONO leads to affect collagen synthesis, myocardial fibrosis and impaired diastolic function[20]. Additionally, it also regulates the metabolic pathways glucose and lipids, linking metabolic disturbances in diabetes to cardiac dysfunction. Downregulation of NONO causes cardiomyopathic and remodeling of cardiac cells[21]. Taken together, the NONO centrality in bridging cardiac homeostasis by structural and metabolic regulation.

The combined effect of the molecular triad PSMB9/ZEB1/NONO by PSMB8-AS-1 operates may act as network that mediates cellular adaptation, stress response, and vascular homeostasis. It is also reported that cellular oxidative stress potentially affects the regulation of transcription factors triad PSMB9/ZEB1/NONO and disrupt normal physiology and cause endothelial dysfunction, vascular inflammation, and maladaptive cardiac remodeling[15,21,22]. Figure 1 represents that hyperglycemia associated oxidative stress affects the regulation triad of transcription factors PSMB9/ZEB1/NONO by PSMB-AS-1 lncRNAs and upregulates expression of ICAM and VCAM which promote the adhesion of various cells like monocyte and macrophage and permeate lipid and cholesterol across the smooth muscle and promote atherosclerosis and increase the risk of CVD.

Figure 1
Figure 1 Mechanistic pathway linking hyperglycemia to atherosclerosis and cardiovascular disease via oxidative stress and endothelial activation. It illustrates how hyperglycemia under stress conditions increases PSMB8-AS-1 expression, which then promotes vascular inflammation by upregulating intercellular adhesion molecule-1 and vascular cell adhesion molecule 1 through interactions with NONO and PSMB9. This process facilitates blood cell adhesion, endothelial dysfunction, and plaque formation, ultimately leading to cardiovascular disease. ICAM-1: Intercellular adhesion molecule-1; VCAM-1: Vascular cell adhesion molecule 1.
FUTURE DIRECTIONS

The growing existing literature evidence suggested that PSMB8-AS-1 mediated regulation of transcription factor triads PSMB9/ZEB1/NONO act as a possible molecular target in HACHD pathophysiology. The association of clinical parameters like MPPGE, MAGE and HRV with these molecular markers can significantly improve the early diagnosis of HACHD with high-risk stratification and improve personalized therapy. Additionally, the use of bioinformatics tools with proteomics and transcriptomics further accelerates the discovery of new regulatory molecules and therapeutic targets in treatment of HACHD.

CONCLUSION

The PSMB-AS-1 regulated transcription factor triad PSMB9/ ZEB1/NONO can be promising biomarkers and major candidate as therapeutic agent for diagnostic and treatment of HACHD. Continued translational and clinical research focused on these pathways may transform the management of diabetic cardiovascular disease, ultimately improving outcomes for patients at highest risk of metabolic-cardiac complications.

References
1.  American Diabetes Association Professional Practice Committee. 2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2025. Diabetes Care. 2025;48:S27-S49.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 450]  [Cited by in RCA: 496]  [Article Influence: 496.0]  [Reference Citation Analysis (0)]
2.  Sherwani SI, Khan HA, Ekhzaimy A, Masood A, Sakharkar MK. Significance of HbA1c Test in Diagnosis and Prognosis of Diabetic Patients. Biomark Insights. 2016;11:95-104.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 792]  [Cited by in RCA: 763]  [Article Influence: 76.3]  [Reference Citation Analysis (0)]
3.  ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Gabbay RA;  on behalf of the American Diabetes Association. 2. Classification and Diagnosis of Diabetes: Standards of Care in Diabetes-2023. Diabetes Care. 2023;46:S19-S40.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 857]  [Cited by in RCA: 1628]  [Article Influence: 542.7]  [Reference Citation Analysis (70)]
4.  Sreeniwas Kumar A, Sinha N. Cardiovascular disease in India: A 360 degree overview. Med J Armed Forces India. 2020;76:1-3.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 14]  [Cited by in RCA: 121]  [Article Influence: 20.2]  [Reference Citation Analysis (0)]
5.  Stone PH, Libby P, Boden WE. Fundamental Pathobiology of Coronary Atherosclerosis and Clinical Implications for Chronic Ischemic Heart Disease Management-The Plaque Hypothesis: A Narrative Review. JAMA Cardiol. 2023;8:192-201.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 38]  [Cited by in RCA: 157]  [Article Influence: 52.3]  [Reference Citation Analysis (1)]
6.  Shrivastav D, Singh DD, Mir R, Mehra P, Mehta V, Dabla PK. Comparative analysis of Nε-carboxymethyl-lysine and inflammatory markers in diabetic and non-diabetic coronary artery disease patients. World J Diabetes. 2023;14:1754-1765.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in CrossRef: 1]  [Cited by in RCA: 4]  [Article Influence: 1.3]  [Reference Citation Analysis (1)]
7.  Li AQ, Zhang F. Blood glucose variability impacts heart rate dynamics in older type 2 diabetic and coronary heart disease patients. World J Diabetes. 2025;16:110722.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
8.  Jain S, Thakkar N, Chhatai J, Pal Bhadra M, Bhadra U. Long non-coding RNA: Functional agent for disease traits. RNA Biol. 2017;14:522-535.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 45]  [Cited by in RCA: 62]  [Article Influence: 6.2]  [Reference Citation Analysis (0)]
9.  Qi K, Zhong J. LncRNA HOTAIR improves diabetic cardiomyopathy by increasing viability of cardiomyocytes through activation of the PI3K/Akt pathway. Exp Ther Med. 2018;16:4817-4823.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 8]  [Cited by in RCA: 27]  [Article Influence: 3.4]  [Reference Citation Analysis (0)]
10.  Zhao W, Liu Y, Li C, Yin Z, Liu Y, An M. Mechanisms of MALAT1 regulating proliferative diabetic retinopathy via targeting miR-126-5p. Am J Transl Res. 2023;15:3279-3289.  [PubMed]  [DOI]
11.  Wang H, Zhu Z, Zhou F, Xin W, Yin L. Serum LncRNA PSMB8-AS1 as a novel biomarker for predicting acute coronary syndrome. Sci Rep. 2025;15:18613.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
12.  Li S, He RC, Wu SG, Song Y, Zhang KL, Tang ML, Bei YR, Zhang T, Lu JB, Ma X, Jiang M, Qin LJ, Xu Y, Dong XH, Wu J, Dai X, Hu YW. LncRNA PSMB8-AS1 Instigates Vascular Inflammation to Aggravate Atherosclerosis. Circ Res. 2024;134:60-80.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 4]  [Cited by in RCA: 46]  [Article Influence: 23.0]  [Reference Citation Analysis (0)]
13.  Liu X, Delgado E. A novel role of PSMB9 in endothelial cells and atherosclerosis: beyond its canonical function in immunoproteasome. Acta Pharmacol Sin. 2024;45:1530-1532.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 5]  [Reference Citation Analysis (0)]
14.  Zheng XL. Emerging Paradigms in Atherosclerosis: The Impact of LncRNA PSMB8-AS1 on Vascular Inflammation and Plaque Formation. J Cardiovasc Transl Res. 2024;17:779-781.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
15.  Kim M, Serwa RA, Samluk L, Suppanz I, Kodroń A, Stępkowski TM, Elancheliyan P, Tsegaye B, Oeljeklaus S, Wasilewski M, Warscheid B, Chacinska A. Immunoproteasome-specific subunit PSMB9 induction is required to regulate cellular proteostasis upon mitochondrial dysfunction. Nat Commun. 2023;14:4092.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 35]  [Reference Citation Analysis (0)]
16.  Zhang P, Sun Y, Ma L. ZEB1: at the crossroads of epithelial-mesenchymal transition, metastasis and therapy resistance. Cell Cycle. 2015;14:481-487.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 327]  [Cited by in RCA: 496]  [Article Influence: 45.1]  [Reference Citation Analysis (0)]
17.  Li H, Zou J, Yu XH, Ou X, Tang CK. Zinc finger E-box binding homeobox 1 and atherosclerosis: New insights and therapeutic potential. J Cell Physiol. 2021;236:4216-4230.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2]  [Cited by in RCA: 14]  [Article Influence: 2.3]  [Reference Citation Analysis (0)]
18.  Martinez-Campanario MC, Cortés M, Moreno-Lanceta A, Han L, Ninfali C, Domínguez V, Andrés-Manzano MJ, Farràs M, Esteve-Codina A, Enrich C, Díaz-Crespo FJ, Pintado B, Escolà-Gil JC, García de Frutos P, Andrés V, Melgar-Lesmes P, Postigo A. Atherosclerotic plaque development in mice is enhanced by myeloid ZEB1 downregulation. Nat Commun. 2023;14:8316.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 5]  [Cited by in RCA: 8]  [Article Influence: 2.7]  [Reference Citation Analysis (0)]
19.  Wei B, Li Z, Wang L, Zhang H, Gou W. miR-200b-3p relieved inflammation in patients with heart failure by regulating ZEB1 expression. J Cardiothorac Surg. 2024;19:271.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
20.  Xu X, Jiang H, Lu Y, Zhang M, Cheng C, Xue F, Zhang M, Zhang C, Ni M, Zhang Y. Deficiency of NONO is associated with impaired cardiac function and fibrosis in mice. J Mol Cell Cardiol. 2019;137:46-58.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 14]  [Cited by in RCA: 18]  [Article Influence: 2.6]  [Reference Citation Analysis (0)]
21.  Lei YQ, Ye ZJ, Wei YL, Zhu LP, Zhuang XD, Wang XR, Cao H. Nono deficiency impedes the proliferation and adhesion of H9c2 cardiomyocytes through Pi3k/Akt signaling pathway. Sci Rep. 2023;13:7134.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 6]  [Reference Citation Analysis (0)]
22.  Guo M, Wang YJ, Shi J, Cao LX, Ou Y, Jia X, Qi CC, Li ZX, Liu YX, Zuo SY, Shuai QY, Yu TW, Hu HY, Chen X, Feng MD, Xue Y, Wang H, Sun PQ, Liu L, Shi Y, Yang S. Oxidative stress-induced ZEB1 acetylation drives a hybrid epithelial-mesenchymal phenotype and promotes lung metastasis in triple-negative breast cancer. Redox Biol. 2025;86:103834.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
Footnotes

Peer review: Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Endocrinology and metabolism

Country of origin: India

Peer-review report’s classification

Scientific quality: Grade B, Grade B, Grade C

Novelty: Grade B, Grade B, Grade B

Creativity or innovation: Grade C, Grade B, Grade C

Scientific significance: Grade A, Grade B, Grade C

P-Reviewer: Gutiérrez-Cuevas J, PhD, Full Professor, Mexico; Kitao T, MD, Japan S-Editor: Luo ML L-Editor: A P-Editor: Xu ZH