Exposure to perfluorooctanesulfonic acid (PFOS) has been associated with congenital heart disease (CHD) and decreased birth weight. PFOS exposure can disrupt signaling pathways relevant for cardiac development in stem cell-derived cardiomyocyte assays, such as the PluriBeat assay, where spheroids of human induced pluripotent stem cells (hiPSCs) differentiate into contracting cardiomyocytes. Notably, cell line origin can also affect how the assay responds to chemical exposure. Herein, we examined the effect of PFOS on cardiomyocyte differentiation by transcriptomics profiling of two different hiPSC lines to see if they exhibit a common pattern of disruption. Two stages of differentiation were investigated: the cardiac progenitor stage and the cardiomyocyte stage. Many differentially expressed genes (DEGs) were observed between cell lines independent of exposure. However, 135 DEGs were identified as common between the two cell lines. Of these, 10 DEGs were associated with GO-terms related to the heart. PFOS exposure disrupted multiple signaling pathways relevant to cardiac development, including WNT, TGF, HH, and EGF. Of these pathways, genes related to the non-canonical WNTCa signaling was particularly affected. PFOS thus has the capacity to disrupt pathways important for cardiac development and function.
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http://dx.doi.org/10.1016/j.tiv.2022.105475 | DOI Listing |
Acta Physiol (Oxf)
February 2025
Department of Physiology, Pharmacology and Toxicology, West Virginia University, Morgantown, West Virginia, USA.
IgE acts primarily via the high affinity IgE receptor (FcεRI) and is central to immediate hypersensitivity reactions (anaphylaxis). However, IgE is also important in the development of chronic hypersensitivity reactions (allergy). In the cardiovascular system, numerous clinical studies have investigated serum IgE levels, mainly in the context of myocardial infarction, and have established a clear association between IgE and ischemic cardiac events.
View Article and Find Full Text PDFHeart Rhythm O2
December 2024
Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Background: Transcatheter aortic valve replacement (TAVR) has revolutionized the management of aortic stenosis and has become the standard of care across a broad spectrum of patients with aortic stenosis. However, it is still associated with high incidence of conduction abnormalities, particularly new left bundle branch block (LBBB). Management of these patients remains a challenge.
View Article and Find Full Text PDFHeart Rhythm O2
December 2024
Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom.
Background: Atrial fibrillation (AF) is the most common arrhythmia worldwide. Data regarding 30-day readmission following index admission for AF in the developing world are poorly described.
Objectives: The study aimed to assess the rate, predictors, and trends of 30-day readmission after index admission for AF in Syria.
Heart Rhythm O2
December 2024
Philips, San Diego, California.
Cardiac implantable electronic devices (CIEDs) generate substantial data, often stored in image or PDF formats. Remote monitoring, now an integral component of patient care, places considerable administrative burdens on clinicians and staff, in large part due to the challenge of integrating these data seamlessly into electronic health records. Since 2006, the Heart Rhythm Society, in collaboration with the CIED industry, has led an initiative to establish a unified standard nomenclature.
View Article and Find Full Text PDFHeart Rhythm O2
December 2024
Pfizer Inc, New York, New York.
Background: Prediction models for atrial fibrillation (AF) may enable earlier detection and guideline-directed treatment decisions. However, model bias may lead to inaccurate predictions and unintended consequences.
Objective: The purpose of this study was to validate, assess bias, and improve generalizability of "UNAFIED-10," a 2-year, 10-variable predictive model of undiagnosed AF in a national data set (originally developed using the Indiana Network for Patient Care regional data).
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