Data concerning autoantibodies in hypertrophic cardiomyopathy are rare and controversial and only the results of indirect immunofluorescence methods are available in the literature. The aim of this study was to determine the frequency and clinical significance of autoantibodies in hypertrophic cardiomyopathy by means of the Western blot which is a highly sensitive immunological technique. Sera from twelve (48.0%) of the whole group of 25 patients with hypertrophic cardiomyopathy reacted with actin from the HeLa extract. The incidence of anti-actin antibodies in sera from 23 ischaemic heart disease patients was 13.0% (P less than 0.025) and in 37 apparently healthy subjects was 8.1% (P less than 0.001). When samples were assayed on the actomyosin prepared from Xenopus laevis muscle, sera of 14 (56.0%) of the patients exhibited actin positivity while the positivity in ischaemic heart disease and in healthy subjects was found to be 13.0 and 13.5%, respectively (P less than 0.001). Presence of anti-actin antibodies was related to the functional and clinical status and the progression of the disease. Anti-actin antibodies were found more frequently in medically treated patients. These data suggest that anti-actin antibodies are probably not directly involved in the pathogenesis of hypertrophic cardiomyopathy, but their detection might be useful as an additional marker of disease severity.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1093/eurheartj/8.7.773 | DOI Listing |
Heart Rhythm
January 2025
Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA; Department of Molecular Pharmacology & Experimental Therapeutics (Windland Smith Rice Sudden Death Genomics Laboratory). Electronic address:
Heart Rhythm
January 2025
Aurora Cardiovascular and Thoracic Services, Aurora Sinai/Aurora St. Luke's Medical Centers, Aurora Health Care, Milwaukee, Wisconsin, USA; Division of Cardiovascular Medicine, University of Wisconsin School of Medicine and Public Health, Milwaukee Clinical Campus, Milwaukee, Wisconsin, USA. Electronic address:
Comput Biol Med
January 2025
Department of Electrical and Electronics Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India. Electronic address:
Cardiovascular disease (CVD) is caused by the abnormal functioning of the heart which results in a high mortality rate across the globe. The accurate and early prediction of various CVDs from the electrocardiogram (ECG) is vital for the prevention of deaths caused by CVD. Artificial intelligence (AI) is used to categorize and accurately predict various CVDs.
View Article and Find Full Text PDFZhonghua Nei Ke Za Zhi
February 2025
Department of Cardiology, Peking University First Hospital, Beijing100034, China Institute of Cardiovascular Disease, Peking University First Hospital, Beijing100034, China Echocardiography Core Lab, Institute of Cardiovascular Disease, Peking University First Hospital, Beijing100034, China.
Br J Hosp Med (Lond)
January 2025
The Cardiology Department of Shanxi Provincial People's Hospital, Shanxi Medical University, Taiyuan, Shanxi, China.
Research evidence has demonstrated a significant association between hypertrophic cardiomyopathy (HCM) and atrial fibrillation (AF), but the causality and pattern of this link remain unexplored. Therefore, this study investigated the causal relationship between HCM and AF using a two-sample and bidirectional Mendelian randomization (MR) approach. Additionally, this assessed the role of cardiovascular proteins (CPs) associated with cardiovascular diseases between HCM and AF by applying a two-step MR analysis.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!