1,721,050 research outputs found

    [Treatment of cardiac fibrosis: from neurohormonal antagonists to CAR-T cells]

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    : Cardiac fibrosis is characterized by the deposition of extracellular matrix proteins in the spaces between cardiomyocytes following both acute and chronic tissue damage events, resulting in the remodeling and stiffening of heart tissue. Fibrosis plays an important role in the pathogenesis of many cardiovascular disorders, including heart failure and myocardial infarction. Several studies have identified fibroblasts, which are induced to differentiate into myofibroblasts in response to various types of damage, as one of the most important cell types involved in the fibrotic process. There are currently no drugs with primarily antifibrotic action approved for clinical use, as the evidence of a clinical efficacy of these drugs is extremely limited, despite the numerous encouraging results from experimental studies. A new approach is represented by the use of chimeric antigen receptor T cells engineered in vivo using lipid nanoparticles containing mRNA encoding a receptor directed against the fibroblast activation protein, expressed by activated cardiac fibroblasts. This strategy has proved to be safe and effective in reducing myocardial fibrosis and improving cardiac function in mouse models of cardiac fibrosis. Clinical studies are required to test this novel approach in humans

    Safety and Tolerability of Neurohormonal Antagonism in Cardiac Amyloidosis

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    Background: Drugs for neurohormonal antagonism are usually denied to patients with cardiac amyloidosis (CA) because of safety concerns. Methods: Patients diagnosed with CA at a tertiary referral centre from 2009 to 2019 were enrolled. In the absence of contraindications, beta-blockers, angiotensin converting enzyme inhibitors or angiotensin receptor blockers (ACEi/ARB), and mineralocorticoid receptor antagonists (MRA) were started or up-titrated. Results: 99 patients were evaluated (72% men, age 80 years [72,83], 33% light-chain and 67% transthyretin amyloidosis); 56% were started on or underwent up-titration of a beta-blocker, 25% of ACEi/ARB, and 39% of MRA; beta-blockers were then prescribed to 87% of patients, ACEi/ARB to 75%, and MRA to 63%, with median bisoprolol, ramipril, valsartan, and spironolactone daily equivalent doses of 2.5 mg, 5 mg, 80 mg, and 25 mg, respectively. Patients starting or starting/up-titrating a beta-blocker did not show a higher frequency of hypotension, fatigue, syncope, symptomatic bradycardia, need for pacemaker implantation, or HF hospitalization. Lower stroke volume and cardiac output (CO) predicted HF hospitalization regardless of amyloidosis type; lower left ventricular ejection fraction predicted hypotension, and lower CO and diastolic blood pressure predicted syncope. Patients who had an ACEi/ARB or MRA being started or up-titrated did not experience more adverse events than other patients. Conclusions: ACEi/ARB and MRA can be safely used in CA, provided that no contraindications are present, treatment is started at a low dose and slowly up-titrated, and patients are monitored quite closely. Beta-blocker therapy is less tolerated in patients with AL amyloidosis and/or worse haemodynamic function

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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