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Pan J, Zhang L, Li D, Li Y, Lu M, Hu Y, Sun B, Zhang Z, Li C. Hypoxia-inducible factor-1: Regulatory mechanisms and drug therapy in myocardial infarction. Eur J Pharmacol 2024; 963:176277. [PMID: 38123007 DOI: 10.1016/j.ejphar.2023.176277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 11/30/2023] [Accepted: 12/13/2023] [Indexed: 12/23/2023]
Abstract
Myocardial infarction (MI), an acute cardiovascular disease characterized by coronary artery blockage, inadequate blood supply, and subsequent ischemic necrosis of the myocardium, is one of the leading causes of death. The cellular, physiological, and pathological responses following MI are complex, involving multiple intertwined pathological mechanisms. Hypoxia-inducible factor-1 (HIF-1), a crucial regulator of hypoxia, plays a significant role in of the development of MI by modulating the behavior of various cells such as cardiomyocytes, endothelial cells, macrophages, and fibroblasts under hypoxic conditions. HIF-1 regulates various post-MI adaptive reactions to acute ischemia and hypoxia through various mechanisms. These mechanisms include angiogenesis, energy metabolism, oxidative stress, inflammatory response, and ventricular remodeling. With its crucial role in MI, HIF-1 is expected to significantly influence the treatment of MI. However, the drugs available for the treatment of MI targeting HIF-1 are currently limited, and most contain natural compounds. The development of precision-targeted drugs modulating HIF-1 has therapeutic potential for advancing MI treatment research and development. This study aimed to summarize the regulatory role of HIF-1 in the pathological responses of various cells following MI, the diverse mechanisms of action of HIF-1 in MI, and the potential drugs targeting HIF-1 for treating MI, thus providing the theoretical foundations for potential clinical therapeutic targets.
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Affiliation(s)
- Jinyuan Pan
- Innovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Lei Zhang
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Dongxiao Li
- Experimental Center, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Yuan Li
- Experimental Center, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Mengkai Lu
- Innovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Yuanlong Hu
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Bowen Sun
- Innovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Zhiyuan Zhang
- Innovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Chao Li
- Qingdao Traditional Chinese Medicine Hospital (Qingdao Hiser Hospital), Qingdao, 266000, China.
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Lima do Vale MR, Buckner L, Mitrofan CG, Tramontt CR, Kargbo SK, Khalid A, Ashraf S, Mouti S, Dai X, Unwin D, Bohn J, Goldberg L, Golubic R, Ray S. A synthesis of pathways linking diet, metabolic risk and cardiovascular disease: a framework to guide further research and approaches to evidence-based practice. Nutr Res Rev 2023; 36:232-258. [PMID: 34839838 DOI: 10.1017/s0954422421000378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Cardiovascular disease (CVD) is the most common non-communicable disease occurring globally. Although previous literature has provided useful insights into the important role that diet plays in CVD prevention and treatment, understanding the causal role of diets is a difficult task considering inherent and introduced weaknesses of observational (e.g. not properly addressing confounders and mediators) and experimental research designs (e.g. not appropriate or well designed). In this narrative review, we organised current evidence linking diet, as well as conventional and emerging physiological risk factors, with CVD risk, incidence and mortality in a series of diagrams. The diagrams presented can aid causal inference studies as they provide a visual representation of the types of studies underlying the associations between potential risk markers/factors for CVD. This may facilitate the selection of variables to be considered and the creation of analytical models. Evidence depicted in the diagrams was systematically collected from studies included in the British Nutrition Task Force report on diet and CVD and database searches, including Medline and Embase. Although several markers and disorders linked to conventional and emerging risk factors for CVD were identified, the causal link between many remains unknown. There is a need to address the multifactorial nature of CVD and the complex interplay between conventional and emerging risk factors with natural and built environments, while bringing the life course into the spotlight.
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Affiliation(s)
| | - Luke Buckner
- NNEdPro Global Centre for Nutrition and Health, Cambridge, UK
| | | | | | | | - Ali Khalid
- NNEdPro Global Centre for Nutrition and Health, Cambridge, UK
| | - Sammyia Ashraf
- NNEdPro Global Centre for Nutrition and Health, Cambridge, UK
| | - Saad Mouti
- University of California Berkeley, Consortium for Data Analytics in Risk, Berkeley, CA, USA
| | - Xiaowu Dai
- University of California Berkeley, Consortium for Data Analytics in Risk, Berkeley, CA, USA
| | | | - Jeffrey Bohn
- University of California Berkeley, Consortium for Data Analytics in Risk, Berkeley, CA, USA
- Swiss Re Institute, Zürich, Switzerland
| | - Lisa Goldberg
- University of California Berkeley, Consortium for Data Analytics in Risk, Berkeley, CA, USA
| | - Rajna Golubic
- NNEdPro Global Centre for Nutrition and Health, Cambridge, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Diabetes Trials Unit, University of Oxford, Oxford, UK
| | - Sumantra Ray
- NNEdPro Global Centre for Nutrition and Health, Cambridge, UK
- University of Ulster, School of Biomedical Sciences, Coleraine, UK
- University of Cambridge, School of the Humanities and Social Sciences, Cambridge, UK
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Zhang JY, Zhao Q, Li XM, Liu F, Zhao Q, Men L, Chen QJ, Zhai H, Yang YN. Association of an ADRB3 Variant with Coronary Artery Disease Within the Chinese Han Population: Construction of a Predictive Nomogram Model. Genet Test Mol Biomarkers 2023; 27:81-89. [PMID: 36989522 DOI: 10.1089/gtmb.2022.0071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/31/2023] Open
Abstract
Objective: Coronary artery disease (CAD) is a the most common type of heart disease, and is associated with the highest mortality rate. The role of the β3-adrenergic receptor gene (ADRB3) in energy homeostasis and lipolysis suggests that it may be associated with obesity, insulin resistance, diabetes, and hypertension. Herein, we sought to examine the relationship between CAD and variants of the ADRB3 gene in individuals with Han and Uygur ethnicities in China. Methods: All 1022 participants were genotyped for two ADRB3 single nucleotide polymorphisms (SNPs; rs1892818 and rs9693898) using real-time polymerase chain reaction (TaqMan). Uygur (259 CAD patients, 161 control group) and Han (308 CAD patients, 294 control group) were included in two case-control studies. We subsequently developed a predictive model using ADRB3 genetic variation and clinical variables to predict risk of CAD. Results: The rs1892818 CT genotype (8.5% vs 3.9%, p = 0.019) and T allele (4.3% vs 1.9%, p = 0.021) were more frequently detected in the control subjects compared to CAD patients of the Han population but not in the Uygur population. The rs9693898 was not associated with CAD in either ethnic population. Logistic regression analysis further demonstrated that carriers of the rs1892818 CT genotype had a lower risk of CAD than did those with the CC genotype (CT vs CC, p = 0.044, odds ratio [OR] = 0.441, 95% confidence interval [CI]: 0.199-0.976). Using this data, we constructed a predictive nomogram model for CAD with an area under the curve (95% CI) of 0.722 (0.682, 0.761). Conclusions: Our results suggest that rs1892818 is associated with CAD in the Han population and that the CT genotype of rs1892818 may serve as a protective factor for CAD in Han individuals. The proposed nomograms can be used for the prediction of CAD in this population.
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Affiliation(s)
- Jin-Yu Zhang
- Xinjiang Key Laboratory of Cardiovascular Disease Research, Clinical Medical Research Institute of The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- Department of Rehabilitation, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Qian Zhao
- Xinjiang Key Laboratory of Cardiovascular Disease Research, Clinical Medical Research Institute of The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Xiao-Mei Li
- Xinjiang Key Laboratory of Cardiovascular Disease Research, Clinical Medical Research Institute of The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Fen Liu
- Xinjiang Key Laboratory of Cardiovascular Disease Research, Clinical Medical Research Institute of The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Qiang Zhao
- Xinjiang Key Laboratory of Cardiovascular Disease Research, Clinical Medical Research Institute of The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Li Men
- Xinjiang Key Laboratory of Cardiovascular Disease Research, Clinical Medical Research Institute of The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Qing-Jie Chen
- Xinjiang Key Laboratory of Cardiovascular Disease Research, Clinical Medical Research Institute of The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Hui Zhai
- Xinjiang Key Laboratory of Cardiovascular Disease Research, Clinical Medical Research Institute of The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Yi-Ning Yang
- Xinjiang Key Laboratory of Cardiovascular Disease Research, Clinical Medical Research Institute of The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
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