Exercise as A Potential Therapeutic Target for Diabetic Cardiomyopathy: Insight into the Underlying Mechanisms

Seo, Dae Yun; Ko, Jeong Rim; Jang, Jung Eun; Kim, Tae Nyun; Youm, Jae Boum; Kwak, Hyo‐Bum; Bae, Joonsoo; Kim, Amy Hyein; Ko, Kyung Soo; Rhee, Byoung Doo; Han, Jin

doi:10.20944/preprints201910.0040.v1

Cited by 6 publications

(1 citation statement)

References 114 publications

(150 reference statements)

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“…Whether it can achieve accurate prediction of trajectory and landing point largely determines the practicability of fire protection system. There are many parameters that affect the jet trajectory of the fire monitor, which are mainly determined by the pressure, liquid flow, nozzle caliber, pitch angle of the fire monitor head, equipment installation height, and air resistance when the fire monitor is working [13][14][15]. Based on the above parameters, we establish a theoretical model of the jet trajectory, consider the air resistance, simulate the trajectory curve under actual conditions, and use MATLAB to simulate the jet trajectory under different initial conditions, establish a database, and provide a reference for the automatic fire extinguishing system.…”

Section: Theoretical Derivation Of Jet Trajectorymentioning

confidence: 99%

Image Processing Based Fire Fighting System Design

Zhou,

Chen,

Zhang

et al. 2024

Preprint

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Electricity transmission equipment in forests poses a great threat to the ecosystem due to the risk of fire, and the rapidity of forest fires or electricity equipment fires makes it difficult to make quick and effective judgments when fires start and to prevent miscalculations in cases such as electrical sparks. This paper designs an intelligent fire protection system that can realize automatic fire extinguishing. This paper focuses on the study of the jet trajectory of the fire extinguishing agent after leaving the fire cannon, and combines the fluid mechanics and particle kinematics to theoretically derive the trajectory and realize the trajectory prediction. Adding air resistance to the trajectory model makes the trajectory prediction more accurate. At the same time, the target detection algorithm in deep learning is used to accurately detect flames, and small flames in the environment can be quickly detected. Using computer vision technology to spatially locate the fire source, obtain the three-dimensional coordinates of the fire source, and calculate the pitch angle and horizontal rotation angle. Compared with existing methods, our proposed method can use deep learning visual detection algorithms to quickly detect flames and combine with other devices to extinguish the fire, constructing a complete fire prevention system, which has stronger significance in practical applications.

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Section: Theoretical Derivation Of Jet Trajectorymentioning

confidence: 99%

Image Processing Based Fire Fighting System Design

Zhou,

Chen,

Zhang

et al. 2024

Preprint

View full text Add to dashboard Cite

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Metabolomic Profiling Reveals That Exercise Lowers Biomarkers of Cardiac Dysfunction in Rats with Type 2 Diabetes

Wang,

Ning,

et al. 2024

Antioxidants

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The increasing prevalence of type 2 diabetes mellitus (T2DM) leads to significant global health challenges, including cardiac structural and functional deficits, which in severe cases can progress to heart failure that can further strain healthcare resources. Aerobic exercise can ameliorate cardiac dysfunction in individuals with diabetes, although a comprehensive understanding of its underlying mechanisms remains elusive. This study utilizes untargeted metabolomics to reveal aerobic-exercise-activated metabolic biomarkers in the cardiac tissues of Sprague Dawley rats with T2DM. Metabolomics analysis revealed that diabetes altered 1029 myocardial metabolites, while aerobic exercise reversed 208 of these metabolites, of which 112 were upregulated and 96 downregulated. Pathway topology analysis suggested that these metabolites predominantly contributed to purine metabolism and arginine biosynthesis. Furthermore, receiver operating characteristic curve analysis identified 10 potential biomarkers, including xanthine, hypoxanthine, inosine, dGMP, l-glutamic acid, l-arginine, l-tryptophan, (R)-3-hydroxybutyric acid, riboflavin, and glucolepidiin. Finally, data from Pearson correlation analysis indicated that some metabolic biomarkers strongly correlated with cardiac function. Our data suggest that certain metabolic biomarkers play an important role in ameliorating diabetes-related cardiac dysfunction by aerobic exercise.

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Non-Invasive Pulsatile Shear Stress Modifies Endothelial Activation; A Narrative Review

2022

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The monolayer of cells that line both the heart and the entire vasculature is the endothelial cell (EC). These cells respond to external and internal signals, producing a wide array of primary or secondary messengers involved in coagulation, vascular tone, inflammation, and cell-to-cell signaling. Endothelial cell activation is the process by which EC changes from a quiescent cell phenotype, which maintains cellular integrity, antithrombotic, and anti-inflammatory properties, to a phenotype that is prothrombotic, pro-inflammatory, and permeable, in addition to repair and leukocyte trafficking at the site of injury or infection. Pathological activation of EC leads to increased vascular permeability, thrombosis, and an uncontrolled inflammatory response that leads to endothelial dysfunction. This pathological activation can be observed during ischemia reperfusion injury (IRI) and sepsis. Shear stress (SS) and pulsatile shear stress (PSS) are produced by mechanical frictional forces of blood flow and contraction of the heart, respectively, and are well-known mechanical signals that affect EC function, morphology, and gene expression. PSS promotes EC homeostasis and cardiovascular health. The archetype of inducing PSS is exercise (i.e., jogging, which introduces pulsations to the body as a function of the foot striking the pavement), or mechanical devices which induce external pulsations to the body (Enhanced External Pulsation (EECP), Whole-body vibration (WBV), and Whole-body periodic acceleration (WBPA aka pGz)). The purpose of this narrative review is to focus on the aforementioned noninvasive methods to increase PSS, review how each of these modify specific diseases that have been shown to induce endothelial activation and microcirculatory dysfunction (Ischemia reperfusion injury-myocardial infarction and cardiac arrest and resuscitation), sepsis, and lipopolysaccharide-induced sepsis syndrome (LPS)), and review current evidence and insight into how each may modify endothelial activation and how these may be beneficial in the acute and chronic setting of endothelial activation and microvascular dysfunction.

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Exercise as A Potential Therapeutic Target for Diabetic Cardiomyopathy: Insight into the Underlying Mechanisms

Cited by 6 publications

References 114 publications

Image Processing Based Fire Fighting System Design

Image Processing Based Fire Fighting System Design

Metabolomic Profiling Reveals That Exercise Lowers Biomarkers of Cardiac Dysfunction in Rats with Type 2 Diabetes

Non-Invasive Pulsatile Shear Stress Modifies Endothelial Activation; A Narrative Review

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