Objective: We tested the hypothesis that a set of differentially expressed genes could be used to classify mice according to cardiovascular phenotype after prolonged catecholamine stress.
Design: Prospective, randomized study.
Setting: University-based research laboratory.
Subjects: One hundred seventy-three male mice were studied: wild-type (WT) C57, WT FVB, WT B6129SF2/J, and beta2 adrenergic receptor knockout.
Interventions: Mice of each genotype were randomly assigned to 14-day infusions of isoproterenol (120 microg/g/day) or no treatment. Approximately half of the animals underwent left ventricle pressure volume loop analysis. The remaining animals were killed for extraction of messenger RNA from whole heart preparations for microarray analysis.
Measurements And Main Results: We observed that WT FVB and beta2 adrenergic receptor knockout mice developed systolic dysfunction in response to continuous catecholamine infusion, whereas WT C57 mice developed diastolic dysfunction. Using these mice as the derivation cohort, we identified a set of 83 genes whose differential expression correlated with left ventricle systolic dysfunction. The gene set was then used to accurately classify mice from a separate group (WT B6129SF2/J) into the cohort that developed left ventricle systolic dysfunction after catecholamine stress.
Conclusions: The differential expression pattern of 83 genes can be used to accurately classify mice according to physiological phenotype after catecholamine stress.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/CCM.0b013e3181b427e8 | DOI Listing |
J Vet Intern Med
January 2025
Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA.
Background: Left ventricular (LV) volumes can be calculated from various linear, monoplane, and multiplane echocardiographic methods, and the same method can be applied to different imaging views. However, these methods and their variations have not been comprehensively evaluated against real-time 3-dimensional echocardiography (RT3D).
Hypothesis/objectives: To identify the LV volumetric approaches that produce the least bias and the best agreement with RT3D, and to assess interoperator reproducibility between an experienced and an inexperienced operator.
Turk Kardiyol Dern Ars
January 2025
Department of Cardiology, Isfahan University of Medical Sciences, Isfahan, Iran.
Hypereosinophilic syndrome (HES) is traditionally described as chronic peripheral eosinophilia with involvement of various organs and systems, including the heart and nervous system. In this report, we describe cardiac involvement and border zone stroke in a patient with idiopathic HES. A 37-year-old woman presented with sudden right-sided weakness and slurred speech, which began four days before admission, accompanied by palpitations, retrosternal exertional chest discomfort, dry cough, and progressive shortness of breath over approximately two months.
View Article and Find Full Text PDFTurk Kardiyol Dern Ars
January 2025
Department of Cardiology, Gülhane Faculty of Medicine, University of Health Sciences, Ankara, Türkiye.
Severe mitral regurgitation (MR) following surgical repair of the mitral valve poses a significant clinical challenge. Patients who have undergone surgery are typically at high risk for a second operation. This report details the case of a 54-year-old male who underwent aortic valve replacement and mitral valve repair using a 34-ring, 14 years prior.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Biofluids Laboratory, Perm National Research Polytechnic University, 614990 Perm, Russia.
Simulating the cardiac valves is one of the most complex tasks in cardiovascular modeling. As fluid-structure interaction simulations are highly computationally demanding, machine-learning techniques can be considered a good alternative. Nevertheless, it is necessary to design many aortic valve geometries to generate a training set.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
3rd Department of Cardiology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 40-007 Katowice, Poland.
Biomarkers are critical for heart failure (HF) management by facilitating risk stratification, therapeutic decision-making, and monitoring treatment response. This prospective, single-center study aimed to assess predictors of death during one-year follow-up in patients with end-stage HF, with particular emphasis on the soluble suppression of tumorigenicity 2/left ventricular mass index (sST2/LVMI) ratio, modified Model for End-stage Liver Disease (modMELD), and Model for End-stage Liver Disease excluding INR (MELD-XI). This study comprised 429 consecutive patients with end-stage HF hospitalized between 2018 and 2023.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!