Aims: Atrial fibrillation (AF) is the most common sustained arrhythmia among patients with hypertrophic cardiomyopathy (HCM), increasing symptom burden and stroke risk. We aimed to construct a plasma proteomics-based model to predict new-onset AF in patients with HCM and determine dysregulated signalling pathways.
Methods And Results: In this prospective, multi-centre cohort study, we conducted plasma proteomics profiling of 4986 proteins at enrolment.
Despite advances in our understanding of myocardial recovery among left ventricular assist device (LVAD) patients, with 10-30% of patients achieving substantial myocardial improvement, the rates of LVAD support cessation remain extremely low (1-2%). These numbers are in stark contrast to clinical trial data where successful LVAD cessation is reported in up to 47% of patients. The majority of LVAD programs lack structured recovery programs and targeted protocols, likely underscoring the heterogeneity that exists among LVAD patients with myocardial recovery.
View Article and Find Full Text PDFEarly right heart failure (RHF) occurs in up to 40% of patients following left ventricular assist device (LVAD) implantation and is associated with increased morbidity and mortality. The most recent report from the Mechanical Circulatory Support-Academic Research Consortium (MCS-ARC) working group subdivides early RHF into early acute RHF and early postimplant RHF. We sought to determine the effectiveness of right ventricular (RV) longitudinal strain (LS) in predicting RHF according to the new MCS-ARC definition.
View Article and Find Full Text PDFBackground: Hypertrophic cardiomyopathy (HCM) is caused by mutations in the genes coding for proteins essential in normal myocardial contraction. However, it remains unclear through which molecular pathways gene mutations mediate the development of HCM. The objectives were to determine plasma protein biomarkers of HCM and to reveal molecular pathways differentially regulated in HCM.
View Article and Find Full Text PDFEndotyping is an emerging concept in which diseases are classified into distinct subtypes based on underlying molecular mechanisms. Heart failure (HF) is a complex clinical syndrome that encompasses multiple endotypes with differential risks of adverse events, and varying responses to treatment. Identifying these distinct endotypes requires molecular-level investigation involving multi-"omics" approaches, including genomics, transcriptomics, proteomics, and metabolomics.
View Article and Find Full Text PDFBackground: Genetic testing can determine family screening strategies and has prognostic and diagnostic value in hypertrophic cardiomyopathy (HCM). However, it can also pose a significant psychosocial burden. Conventional scoring systems offer modest ability to predict genotype positivity.
View Article and Find Full Text PDF•Nonbacterial thrombotic endocarditis can occur in ovarian clear cell carcinoma.•We report on NBTE-associated embolic cerebrovascular infarcts in advanced OCCC.•Further NBTE-associated embolic events can be prevented with anticoagulant therapy.
View Article and Find Full Text PDFObjective: To determine clinical outcomes in patients with stage IA polyp-limited versus endometrium-limited high-grade (type II) endometrial carcinoma (EC).
Methods: We identified all cases of stage IA polyp-limited or endometrium-limited high-grade EC (FIGO grade 3 endometrioid, serous, clear cell, or mixed) who underwent simple hysterectomy, bilateral salpingo-oophorectomy, peritoneal washings, omental biopsy, and pelvic and para-aortic lymph node dissection and received adjuvant treatment at our institution from October 1995 to November 2012. Progression-free survival (PFS) and overall survival (OS) by histology, adjuvant therapy, and polyp-limited versus endometrium-limited disease status were determined using log-rank test.
Genes that interact or function together are often clustered in bacterial genomes, and it has been proposed that this clustering may affect gene expression. In this study, we directly compared gene expression in nonclustered arrangements and in three common clustered arrangements (codirectional, divergent, and operon) using synthetic circuits in Escherichia coli. We found that gene clustering had minimal effects on gene expression.
View Article and Find Full Text PDFGene translocations play an important role in the plasticity and evolution of bacterial genomes. In this study, we investigated the impact on gene regulation of three genome organizational features that can be altered by translocations: (i) chromosome position; (ii) gene orientation; and (iii) the distance between a target gene and its transcription factor gene ('target-TF distance'). Specifically, we quantified the effect of these features on constitutive expression, transcription factor binding and/or gene expression noise using a synthetic network in Escherichia coli composed of a transcription factor (LacI repressor) and its target gene (yfp).
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