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Causal role of ischemic heart disease in ovarian cancer subtypes.

Discov Oncol

January 2025

Department of Cardiovascular Medicine, Jiu Jiang NO.1 People's Hospital, Jiujiang, 332000, China.

Background: Ischemic heart disease (IHD) may share biological mechanisms with cancer, including ovarian cancer, through pathways such as chronic inflammation and oxidative stress. However, the relationship between IHD and ovarian cancer subtypes remains unclear. This study used Mendelian randomization (MR) to explore potential causal associations.

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CaMKIIγ advances chronic intermittent hypoxia-induced cardiomyocyte apoptosis via HIF-1 signaling pathway.

Sleep Breath

January 2025

Nantong Key Laboratory of Translational Medicine in Cardiothoracic Diseases, and Research Institution of Translational Medicine in Cardiothoracic Diseases, Affiliated Hospital of Nantong University, Nantong, Jiangsu, 226001, China.

Background: Our previous study have demonstrated chronic intermittent hypoxia (CIH) induced cardiomyocyte apoptosis and cardiac dysfunction. However, the molecular mechanisms are complicated and varied. In this study, we first investigated the CaMKIIγ expression and signaling pathway in the pathogenesis of cardiomyocyte apoptosis after CIH.

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COPD Airway Epithelial Cell-derived Extracellular Vesicles Spread Cellular Senescence via MicroRNA-34a.

Am J Respir Cell Mol Biol

January 2025

National Heart & Lung Institute, Imperial College London, Airway Disease Section, London, United Kingdom of Great Britain and Northern Ireland.

Chronic obstructive pulmonary disease (COPD) is associated with the acceleration of lung aging, and the accumulation of senescent cells in lung tissue. MicroRNA (miR)-34a induces senescence by suppressing the anti-aging molecule, sirtuin-1 (SIRT1). Senescent cells spread senescence to neighbouring and distant cells, favouring COPD progression and its comorbidities.

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Neuromodulation comes into focus as a non-pharmacological therapy with the vagus nerve as modulation target. The auricular vagus nerve stimulation (aVNS) has emerged to treat chronic diseases while re-establishing the sympathovagal balance and activating parasympathetic anti-inflammatory pathways. aVNS leads still to over and under-stimulation and is limited in therapeutic efficiency.

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Background: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population. This study compared the performance of traditional logistic regression and machine learning models in predicting adult sepsis mortality.

Objective: To develop an optimum model for predicting the mortality of adult sepsis patients based on comparing traditional logistic regression and machine learning methodology.

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