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Zhang Y, Yu W, Zhang L, Li P. Nanozyme-based visual diagnosis and therapeutics for myocardial infarction: The application and strategy. J Adv Res 2024:S2090-1232(24)00162-0. [PMID: 38657902 DOI: 10.1016/j.jare.2024.04.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 04/16/2024] [Accepted: 04/17/2024] [Indexed: 04/26/2024] Open
Abstract
BACKGROUND Myocardial infarction (MI) is a heart injury caused by ischemia and low oxygen conditions. The occurrence of MI lead to the activation of a large number of neutrophils and macrophages, inducing severe inflammatory injury. Meanwhile, the inflammatory response produces much more free radicals, further exacerbating the inflammatory response and tissue damage. Efforts are being dedicated to developing antioxidants and enzymes, as well as small molecule drugs, for treating myocardial ischemia. However, poor pharmacokinetics and potential side effects limit the clinical application of these drugs. Recent advances in nanotechnology have paved new pathways in biomedical and healthcare environments. Nanozymes exhibit the advantages of biological enzymes and nanomaterials, including with higher catalytic activity and stability than natural enzymes. Thus, nanozymes provide new possibilities for the diagnosis and treatment of oxidative stress and inflammation-related diseases. AIM OF REVIEW We describe the application of nanozymes in the diagnosis and therapy of MI, aiming to bridge the gap between the diagnostic and therapeutic needs of MI. KEY SCIENTIFIC CONCEPTS OF REVIEW We describe the application of nanozymes in the diagnosis and therapy of MI, and discuss the new strategies for improving the diagnosis and treatment of MI. We review in detail the applications of nanozymes to achieve highly sensitive detection of biomarkers of MI. Due to their unique enzyme catalytic capabilities, nanozymes have the ability to sensitively detect biomolecules through colorimetric, fluorescent, and electrochemical assays. In addition, nanozymes exhibit excellent antioxidase-mimicking activity to treat MI by modulating reduction/oxidation (REDOX) homeostasis. Nanozymes can also passively or actively target MI tissue sites, thereby protecting ischemic myocardial tissue and reducing the infarct area. These innovative applications of nanozymes in the field of biomedicine have shown promising results in the diagnosis and treatment of MI, offering a novel therapeutic strategy.
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Affiliation(s)
- Yuan Zhang
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.
| | - Wanpeng Yu
- Medical Collage, Qingdao University, Qingdao, China
| | - Lei Zhang
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China
| | - Peifeng Li
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China
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Wu Q, Lv Q, Liu X, Ye X, Cao L, Wang M, Li J, Yang Y, Li L, Wang S. Natural compounds from botanical drugs targeting mTOR signaling pathway as promising therapeutics for atherosclerosis: A review. Front Pharmacol 2023; 14:1083875. [PMID: 36744254 PMCID: PMC9894899 DOI: 10.3389/fphar.2023.1083875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Accepted: 01/05/2023] [Indexed: 01/22/2023] Open
Abstract
Atherosclerosis (AS) is a chronic inflammatory disease that is a major cause of cardiovascular diseases (CVDs), including coronary artery disease, hypertension, myocardial infarction, and heart failure. Hence, the mechanisms of AS are still being explored. A growing compendium of evidence supports that the activity of the mechanistic/mammalian target of rapamycin (mTOR) is highly correlated with the risk of AS. The mTOR signaling pathway contributes to AS progression by regulating autophagy, cell senescence, immune response, and lipid metabolism. Various botanical drugs and their functional compounds have been found to exert anti- AS effects by modulating the activity of the mTOR signaling pathway. In this review, we summarize the pathogenesis of AS based on the mTOR signaling pathway from the aspects of immune response, autophagy, cell senescence, and lipid metabolism, and comb the recent advances in natural compounds from botanical drugs to inhibit the mTOR signaling pathway and delay AS development. This review will provide a new perspective on the mechanisms and precision treatments of AS.
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Affiliation(s)
- Qian Wu
- Guang’anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Qianyu Lv
- Guang’anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Xiao’an Liu
- Capital University of Medical, Beijing, China
| | - Xuejiao Ye
- Guang’anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Linlin Cao
- Guang’anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Manshi Wang
- Beijing Xicheng District Guangwai Hospital, Beijing, China
| | - Junjia Li
- Guang’anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Yingtian Yang
- Guang’anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Lanlan Li
- Guang’anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Shihan Wang
- Guang’anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China,*Correspondence: Shihan Wang,
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Mukherjee A, Fok PW. A new approach to calculating fiber fields in 2D vessel cross sections using conformal maps. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2023; 20:3610-3623. [PMID: 36899595 DOI: 10.3934/mbe.2023168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
An arterial vessel has three layers, namely, the intima, the media and the adventitia. Each of these layers is modeled to have two families of strain-stiffening collagen fibers that are transversely helical. In an unloaded configuration, these fibers are coiled up. In the case of a pressurized lumen, these fibers stretch and start to resist further outward expansion. As the fibers elongate, they stiffen, affecting the mechanical response. Having a mathematical model of vessel expansion is crucial in cardiovascular applications such as predicting stenosis and simulating hemodynamics. Thus, to study the mechanics of the vessel wall under loading, it is important to calculate the fiber configurations in the unloaded configuration. The aim of this paper is to introduce a new technique of using conformal maps to numerically calculate the fiber field in a general arterial cross-section. The technique relies on finding a rational approximation of the conformal map. First, points on the physical cross section are mapped to points on a reference annulus using a rational approximation of the forward conformal map. Next, we find the angular unit vectors at the mapped points, and finally a rational approximation of the inverse conformal map is used to map the angular unit vectors back to vectors on the physical cross section. We have used MATLAB software packages to achieve these goals.
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Affiliation(s)
- Avishek Mukherjee
- Department of Mathematical Sciences, University of Delaware, Newark, DE 19716, USA
| | - Pak-Wing Fok
- Department of Mathematical Sciences, University of Delaware, Newark, DE 19716, USA
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Azimzadeh O, Moertl S, Ramadan R, Baselet B, Laiakis EC, Sebastian S, Beaton D, Hartikainen JM, Kaiser JC, Beheshti A, Salomaa S, Chauhan V, Hamada N. Application of radiation omics in the development of adverse outcome pathway networks: an example of radiation-induced cardiovascular disease. Int J Radiat Biol 2022; 98:1722-1751. [PMID: 35976069 DOI: 10.1080/09553002.2022.2110325] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Epidemiological studies have indicated that exposure of the heart to doses of ionizing radiation as low as 0.5 Gy increases the risk of cardiac morbidity and mortality with a latency period of decades. The damaging effects of radiation to myocardial and endothelial structures and functions have been confirmed radiobiologically at high dose, but much less is known at low dose. Integration of radiation biology and epidemiology data is a recommended approach to improve the radiation risk assessment process. The adverse outcome pathway (AOP) framework offers a comprehensive tool to compile and translate mechanistic information into pathological endpoints which may be relevant for risk assessment at the different levels of a biological system. Omics technologies enable the generation of large volumes of biological data at various levels of complexity, from molecular pathways to functional organisms. Given the quality and quantity of available data across levels of biology, omics data can be attractive sources of information for use within the AOP framework. It is anticipated that radiation omics studies could improve our understanding of the molecular mechanisms behind the adverse effects of radiation on the cardiovascular system. In this review, we explored the available omics studies on radiation-induced cardiovascular disease (CVD) and their applicability to the proposed AOP for CVD. RESULTS The results of 80 omics studies published on radiation-induced CVD over the past 20 years have been discussed in the context of the AOP of CVD proposed by Chauhan et al. Most of the available omics data on radiation-induced CVD are from proteomics, transcriptomics, and metabolomics, whereas few datasets were available from epigenomics and multi-omics. The omics data presented here show great promise in providing information for several key events of the proposed AOP of CVD, particularly oxidative stress, alterations of energy metabolism, extracellular matrix and vascular remodeling. CONCLUSIONS The omics data presented here shows promise to inform the various levels of the proposed AOP of CVD. However, the data highlight the urgent need of designing omics studies to address the knowledge gap concerning different radiation scenarios, time after exposure and experimental models. This review presents the evidence to build a qualitative omics-informed AOP and provides views on the potential benefits and challenges in using omics data to assess risk-related outcomes.
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Affiliation(s)
- Omid Azimzadeh
- Federal Office for Radiation Protection (BfS), Section Radiation Biology, 85764 Neuherberg, Germany
| | - Simone Moertl
- Federal Office for Radiation Protection (BfS), Section Radiation Biology, 85764 Neuherberg, Germany
| | - Raghda Ramadan
- Institute for Environment, Health and Safety, Radiobiology Unit, Belgian Nuclear Research Centre (SCK CEN), Mol, Belgium
| | - Bjorn Baselet
- Institute for Environment, Health and Safety, Radiobiology Unit, Belgian Nuclear Research Centre (SCK CEN), Mol, Belgium
| | - Evagelia C Laiakis
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA.,Department of Biochemistry and Molecular and Cellular Biology, Georgetown University, Washington, DC 20057, USA
| | | | | | - Jaana M Hartikainen
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine, and Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
| | - Jan Christian Kaiser
- Helmholtz Zentrum München, Institute of Radiation Medicine (HMGU-IRM), 85764 Neuherberg, Germany
| | - Afshin Beheshti
- KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, 94035, USA.,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Sisko Salomaa
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Vinita Chauhan
- Environmental Health Science Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Nobuyuki Hamada
- Biology and Environmental Chemistry Division, Sustainable System Research Laboratory, Central Research Institute of Electric Power Industry (CRIEPI), Komae, Tokyo 201-8511, Japan
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Breast cancer radiotherapy and the risk of acute coronary events - insights from a process oriented model. Int J Radiat Oncol Biol Phys 2022; 114:409-415. [PMID: 35787926 DOI: 10.1016/j.ijrobp.2022.06.082] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 06/15/2022] [Accepted: 06/21/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND AND PURPOSE Acute coronary events (ACEs) are considered the most important side effect of radiotherapy (RT) for breast cancer but underlying mechanisms still have to be identified. Process oriented models mathematically describe the development of disease and provide a link between mechanisms and subsequent risk. Here, this link is exploited to learn about the underlying mechanisms from the observed age-time patterns of ACE risk. MATERIALS AND METHODS A process oriented model of atherosclerosis and subsequent ACEs was applied to a contemporary breast cancer cohort of 810 patients with measurements of coronary artery calcification. Patients with prior ischemic heart disease were excluded. The process oriented model describes disease development as a series of different stages. Different variants of the model were fitted to the data. In each variant, one stage was assumed to be accelerated in relation to mean heart dose. RESULTS During a mean follow up of 9.1 years, 25 ACEs occurred. The model reproduced the prevalence and associated risk of coronary calcifications. Mean heart dose significantly improved the fit only when implemented as affecting a late stage of atherosclerosis on already existing, complicated lesions (achieving p = 0.007). This can be understood by atherosclerosis being a slowly progressing disease. Therefore, an increase of ACEs few years after RT requires advanced atherosclerosis at the time of RT. CONCLUSION Risk of ACE increases within few years in patients with advanced atherosclerosis at RT. Therefore, patients should be assessed for cardiovascular risk, and also elderly patients need to be considered for heart sparing techniques.
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Validation of the 30-Year Framingham Risk Score in a German Population-Based Cohort. Diagnostics (Basel) 2022; 12:diagnostics12040965. [PMID: 35454012 PMCID: PMC9025787 DOI: 10.3390/diagnostics12040965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 04/08/2022] [Accepted: 04/10/2022] [Indexed: 12/04/2022] Open
Abstract
The Framingham Risk Score to predict 30-year risk (FRS30y) of cardiovascular disease (CVD) constitutes an important tool for long-term risk prediction. However, due to its complex statistical properties and the paucity of large population-based cohorts with appropriate data, validation of the FRS30y is lacking. A population-based cohort from Southern Germany (N = 3110, 1516 (48.7%) women) was followed up for a median time of 29.5 [18.7, 31.2] years. Discrimination and calibration were assessed for the original, recalibrated and refitted FRS30y version. During follow up, 620 incident CVD events (214 in women) occurred. The FRS30y showed adequate discrimination (original and recalibrated version: Area under the curve (AUC): 78.4 for women and 74.9 for men) but overestimated actual CVD risk (original version: discordance 45.4% for women and 37.3% for men, recalibrated version: 37.6% and 28.6%, respectively). Refitting showed substantial improvement in neither discrimination nor calibration. The performance of FRS30y is adequate for long-term CVD risk prediction and could serve as an important tool in risk communication, especially for younger audiences.
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