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Evaluating sex-specific responses to western diet across the lifespan: impact on cardiac function and transcriptomic signatures in C57BL/6J mice at 530 and 640/750 days of age.
Cardiovasc Diabetol
December 2024
Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, s7-119, New York, NY, USA.
Background: Long-term consumption of Western Diet (WD) is a well-established risk factor for the development of cardiovascular disease (CVD); however, there is a paucity of studies on the long-term effects of WD on the pathophysiology of CVD and sex-specific responses.
Methods: Our study aimed to investigate the sex-specific pathophysiological changes in left ventricular (LV) function using transthoracic echocardiography (ECHO) and LV tissue transcriptomics in WD-fed C57BL/6 J mice for 125 days, starting at the age of 300 through 425 days.
Results: In female mice, consumption of the WD diet showed long-term effects on LV structure and possible development of HFpEF-like phenotype with compensatory cardiac structural changes later in life.
Impact of Inflammation After Cardiac Surgery on 30-Day Mortality and Machine Learning Risk Prediction.
J Cardiothorac Vasc Anesth
December 2024
Division of Cardiac Surgery, Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy; Division of Cardiac Surgery, Santa Maria Hospital, GVM Care & Research, Bari, Italy. Electronic address:
Objectives: To investigate the impact of systemic inflammatory response syndrome (SIRS) on 30-day mortality following cardiac surgery and develop a machine learning model to predict SIRS.
Design: Retrospective cohort study.
Setting: Single tertiary care hospital.
Cardio-metabolic and cytoskeletal proteomic signatures differentiate stress hypersensitivity in dystrophin-deficient mdx mice.
J Proteomics
December 2024
School of Biological Sciences, University of Canterbury, Christchurch 8041, New Zealand; Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia; Department of Medicine, University of Otago, Christchurch 8014, New Zealand; Biomolecular Interaction Centre, School of Biological Sciences, University of Canterbury, Christchurch 8140, New Zealand; Maurice Wilkins Centre for Molecular Biodiscovery, Auckland 1010, New Zealand. Electronic address:
Extreme heterogeneity exists in the hypersensitive stress response exhibited by the dystrophin-deficient mdx mouse model of Duchenne muscular dystrophy. Because stress hypersensitivity can impact dystrophic phenotypes, this research aimed to understand the peripheral pathways driving this inter-individual variability. Male and female mdx mice were phenotypically stratified into "stress-resistant" or "stress-sensitive" groups based on their response to two laboratory stressors.
View Article and Find Full Text PDFDexmedetomidine therapy promotes cardiac dysfunction and increases mortality in sepsis: A translational study.
Int Immunopharmacol
December 2024
Department of Critical Care Medicine, the First Affiliated Hospital of Jinan University, Guangzhou 510632, Guangdong, China. Electronic address:
Previous studies demonstrated that dexmedetomidine (Dex) posttreatment aggravated myocardial dysfunction and reduced survival in septic mice. Yet, whether Dex elicits similar effects in septic patients as defined by Sepsis-3 remains unknown. This study sought to assess the effects of Dex-based sedation on mortality and cardiac dysfunction in septic patients defined by Sepsis-3 and to further reveal the mechanisms in septic rats.
View Article and Find Full Text PDFDigital phenotyping from heart rate dynamics: Identification of zero-poles models with data-driven evolutionary learning.
Comput Biol Med
December 2024
Complex Systems Laboratory, University Politehnica of Bucharest, Bucharest, Romania; Centre for Elderly and Nursing Home Medicine, University of Bergen, Bergen, Norway; Neuro-SysMed Center, University of Bergen, Bergen, Norway. Electronic address:
Heart rate response to physical activity is widely investigated in clinical and training practice, as it provides information on a person's physical state. For emerging digital phenotyping approaches, there is a need for individualized model estimation. In this study, we propose a zero-poles model and a data-driven evolutionary learning method for identification.
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