Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0018799 (heart disease)
 34,133 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The cardiac LIM domain protein MLP plays a crucial role in the architecture and mechanical function of cardiac myocytes. Mice lacking the MLP gene develop cardiac hypertrophy, dilated cardiopathy and heart failure. We investigated whether downregulation of MLP is induced by pressure overload and contributes to the physiopathology of cardiac hypertrophy and failure. We studied this mechanism in rat right ventricles submitted to pulmonary arterial hypertension, because it is known that this ventricle is very vulnerable to the deleterious effects of pressure overload. During the progression of cardiac hypertrophy to failure over a 31 days period there was a dramatic decrease by 50% of the MLP transcripts level. Consistently, immunohistochemistry detected very weak protein signals in the cytoplasms of cardiomyocytes at the failing stage, but myocytes nuclei were heavily labeled. The nuclear relocation was confirmed by the immunodetection of MLP on the nuclear and cytosolic fractions. This nuclear localization is the hallmark of a retro-differentiated phenotype, since it has been observed only in differentiating myoblasts. These changes were associated with ultrastructural disorganization of the myofibrils similar to that observed in MLP -/- mice. Therefore, MLP dowregulation occurring during gene reprogramming may critically contribute to mechanical failure of the myocardium.
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PMID:Downregulation and nuclear relocation of MLP during the progression of right ventricular hypertrophy induced by chronic pressure overload. 1111 14

Progression of idiopathic dilated cardiomyopathy (IDCM) is marked with extensive left ventricular remodeling whose clinical manifestations and molecular basis are poorly understood. We aimed to evaluate the clinical potential of titin ligands in monitoring progression of cardiac remodeling associated with end-stage IDCM. Expression patterns of 8 mechanoptotic machinery-associated titin ligands (ANKRD1, ANKRD2, TRIM63, TRIM55, NBR1, MLP, FHL2, and TCAP) were quantitated in endomyocardial biopsies from 25 patients with advanced IDCM. When comparing NYHA disease stages, elevated ANKRD1 expression levels marked transition from NYHA < IV to NYHA IV. ANKRD1 expression levels closely correlated with systolic strain depression and short E wave deceleration time, as determined by echocardiography. On molecular level, myocardial ANKRD1 and serum adiponectin correlated with low BAX/BCL-2 ratios, indicative of antiapoptotic tissue propensity observed during the worsening of heart failure. ANKRD1 is a potential marker for cardiac remodeling and disease progression in IDCM. ANKRD1 expression correlated with reduced cardiac contractility and compliance. The association of ANKRD1 with antiapoptotic response suggests its role as myocyte survival factor during late stage heart disease, warranting further studies on ANKRD1 during end-stage heart failure.
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PMID:Induction of Ankrd1 in Dilated Cardiomyopathy Correlates with the Heart Failure Progression. 2596 Oct 10

Classification of electrocardiogram (ECG) signals plays an important role in clinical diagnosis of heart disease. This paper proposes the design of an efficient system for classification of the normal beat (N), ventricular ectopic beat (V), supraventricular ectopic beat (S), fusion beat (F), and unknown beat (Q) using a mixture of features. In this paper, two different feature extraction methods are proposed for classification of ECG beats: (i) S-transform based features along with temporal features and (ii) mixture of ST and WT based features along with temporal features. The extracted feature set is independently classified using multilayer perceptron neural network (MLPNN). The performances are evaluated on several normal and abnormal ECG signals from 44 recordings of the MIT-BIH arrhythmia database. In this work, the performances of three feature extraction techniques with MLP-NN classifier are compared using five classes of ECG beat recommended by AAMI (Association for the Advancement of Medical Instrumentation) standards. The average sensitivity performances of the proposed feature extraction technique for N, S, F, V, and Q are 95.70%, 78.05%, 49.60%, 89.68%, and 33.89%, respectively. The experimental results demonstrate that the proposed feature extraction techniques show better performances compared to other existing features extraction techniques.
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PMID:ECG Beats Classification Using Mixture of Features. 2735 Sep 85