Results 171 to 180 of about 42,366 (268)

Songorine inhibits mitophagy in chronic heart failure via the TBC1D15/Fis1/Rab7A pathway

open access: yesBritish Journal of Pharmacology, Volume 183, Issue 9, Page 1939-1957, May 2026.
Abstract Background and purpose Songorine (SGR) is an alkaloid extracted from Aconitum carichaelii Debx. and has a demonstrated role in cardiac dysfunction. Chronic heart failure (CHF) is a severe clinical syndrome leading to functional impairment and death, primarily due to the deterioration of energy metabolism in cardiomyocytes. However, the precise
Wenxiu Liu   +4 more
wiley   +1 more source

Sacubitril Does Not Exert Proarrhythmic Effects in Combination with Different Antiarrhythmic Drugs. [PDF]

open access: yesPharmaceuticals (Basel)
Ellermann C   +7 more
europepmc   +1 more source

Opening closed inward rectifier potassium channel doors

open access: yesBritish Journal of Pharmacology, Volume 183, Issue 10, Page 2197-2218, May 2026.
Inwardly rectifying potassium (KIR) channels are essential regulators of membrane potential in excitable and non‐excitable tissues. Although KIR channels exhibit a biophysical preference for potassium influx due to voltage‐dependent block of outward current by polyamines and Mg2+, under physiological conditions, they predominantly mediate K+ efflux ...
Anna Stary‐Weinzinger   +3 more
wiley   +1 more source

Oral Class I and III antiarrhythmic drugs for maintaining sinus rhythm after catheter ablation of atrial fibrillation. [PDF]

open access: yesCochrane Database Syst Rev, 2023
Bray JJH   +15 more
europepmc   +1 more source

Machine Learning‐Based Prediction of Drug‐Induced QTc Changes in a Large Finnish Biobank Cohort

open access: yesClinical and Translational Science, Volume 19, Issue 5, May 2026.
ABSTRACT Prolongation of the QT interval is a known precursor to serious arrhythmias and sudden cardiac death, often triggered by medication use. Current medication risk evaluation platforms rely on literature‐based synthesis and may lag behind real‐world developments.
Ville Langén   +7 more
wiley   +1 more source

Prehospital Risk Stratification Using Unsupervised Machine Learning in STEMI

open access: yesEuropean Journal of Clinical Investigation, Volume 56, Issue 5, May 2026.
Machine learning identified three phenotypes with 30‐day mortality of 3.4%, 22.1%, and 75%. Phenotype‐2 reveals an "occult high‐risk" group: hemodynamically stable yet six‐fold higher mortality. ABSTRACT Background ST‐elevation myocardial infarction (STEMI) exhibits substantial clinical heterogeneity complicating prehospital risk stratification ...
Ana Ramos‐Rodríguez   +7 more
wiley   +1 more source

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