scholarly journals SEM, TEM, and IHC Analysis of the Sinus Node and Its Implications for the Cardiac Conduction System

2013 ◽  
Vol 2013 ◽  
pp. 1-6
Author(s):  
D. Mandrioli ◽  
F. Ceci ◽  
T. Balbi ◽  
C. Ghimenton ◽  
G. Pierini

More than 100 years after the discovery of the sinus node (SN) by Keith and Flack, the function and structure of the SN have not been completely established yet. The anatomic architecture of the SN has often been described as devoid of an organized structure; the origin of the sinus impulse is still a matter of debate, and a definite description of the long postulated internodal specialized tract conducting the impulse from the SN to the atrioventricular node (AVN) is still missing. In our previously published study, we proposed a morphologically ordered structure for the SN. As a confirmation of what was presented then, we have added the results of additional observations regarding the structural particularities of the SN. We investigated the morphology of the sinus node in the human hearts of healthy individuals using histochemical, immunohistochemical, optical, and electron microscopy (SEM, TEM). Our results confirmed that the SN presents a previously unseen highly organized architecture.

1992 ◽  
Vol 2 (2) ◽  
pp. 196-199
Author(s):  
Louis Tsun-cheung Chow ◽  
Wing-Hing Chow

SummaryWe studied the cardiac conduction system in a case of Hurler syndrome. There was dense fibrosis of the supporting matrix of the sinus node and accumulation of mucopolysaccharide in the nodal cells. The bundle branches showed prominent hydropic degeneration, being encased and punctuated by dense fibrous tissue. These changes in the conduction system may predispose to the development of arrhythmias, accounting for the sudden deaths in Hurler syndrome.


ESC CardioMed ◽  
2018 ◽  
pp. 49-52
Author(s):  
Jan Hendrik van Weerd ◽  
Vincent M. Christoffels

The contraction of the heart is orchestrated by the components of the cardiac conduction system (CCS), which initiate and propagate the electrical impulses to coordinately activate the cardiac chambers. In the adult heart, the impulse is generated in the sinoatrial node and activates the atrial myocardium. Slow conduction of the impulse through the atrioventricular node allows for emptying of the atria and filling of the ventricles prior to ventricular contraction. Subsequent fast conduction through the atrioventricular bundle, bundle branches, and Purkinje fibre network activates the ventricular myocardium and causes the ventricles to contract. The development and function of the CCS involves complex regulatory networks of transcription factors acting in stage-, tissue-, and dose-dependent manners. Disrupted function or expression of these factors might lead to impaired development or function of the CCS components, associated with heart failure and sudden death. It is therefore crucial to understand the molecular and cellular mechanisms controlling the complex regulation of CCS development. This chapter summarizes current insight in the development and function of the different compartments of the CCS, and discusses the transcriptional networks underlying these processes.


ESC CardioMed ◽  
2018 ◽  
pp. 49-52
Author(s):  
Jan Hendrik van Weerd ◽  
Vincent M. Christoffels

The contraction of the heart is orchestrated by the components of the cardiac conduction system (CCS), which initiate and propagate the electrical impulses to coordinately activate the cardiac chambers. In the adult heart, the impulse is generated in the sinoatrial node and activates the atrial myocardium. Slow conduction of the impulse through the atrioventricular node allows for emptying of the atria and filling of the ventricles prior to ventricular contraction. Subsequent fast conduction through the atrioventricular bundle, bundle branches, and Purkinje fibre network activates the ventricular myocardium and causes the ventricles to contract. The development and function of the CCS involves complex regulatory networks of transcription factors acting in stage-, tissue-, and dose-dependent manners. Disrupted function or expression of these factors might lead to impaired development or function of the CCS components, associated with heart failure and sudden death. It is therefore crucial to understand the molecular and cellular mechanisms controlling the complex regulation of CCS development. This chapter summarizes current insight in the development and function of the different compartments of the CCS, and discusses the transcriptional networks underlying these processes.


2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
L Stuart ◽  
I Y Oh ◽  
Y Wang ◽  
S Nakao ◽  
T Starborg ◽  
...  

Abstract Background and purpose Heart failure (HF) is characterised by generalised dysfunction of the cardiac conduction system (CCS). Ion channel and structural remodelling in the CCS have been widely demonstrated in animal models of cardiovascular disease. As Purkinje fibres (PFs) are minute strands of tissue, little is known about their ultrastructure and remodelling in disease. Furthermore, given the role for microRNAs (miRs) in CCS molecular remodelling, we aimed to develop a tissue specific method for delivering therapeutic transgenes, such as miR sponges. Methods New Zealand rabbits were used for PF ultrastructural studies. HF was induced via pressure and volume overload. Free running PFs were processed for serial block face scanning electron microscopy (SBF-SEM). Manual contrast-based segmentation techniques were used on IMOD software to determine the 3D cellular ultrastructure. To target transgene expression to the CCS, adenoviral plasmids were cloned expressing a GFP reporter gene. GFP transcription was placed under control of the KCNE1 promoter, a K+ channel subunit expressed throughout the CCS, or the HCN4 promoter, a key pacemaker ion channel, to target the sinus node. The strong ubiquitous cytomegalovirus (CMV) promoter was used as a positive control. Adenovirus was produced using via transfection into the 293A cell line for viral packaging and amplification. Results Purkinje cells (PCs) formed a central core within PFs, encapsulated by an extensive collagen matrix. PCs were uninucleated and spindle shaped with an irregular membrane. Gap junctions were abundant and distributed along the lateral surface of cells, and there was a trend towards decreased expression in HF (p=0.0526, n=3 cells analysed per group). Hypertrophy and nuclear membrane breakdown were evident in HF PCs, the latter facilitating mitochondrial entry. Using the CMV-GFP adenoviral construct, abundant GFP expression was conferred in ex vivo sinus node tissue, isolated sinus node myocytes, and neonatal ventricular rat cardiomyocytes (NRCMs). The KCNE1 promoter conferred relatively high GFP expression in NRCMs, greater than that from the HCN4 promoter. In isolated sinus node myocytes, the HCN4 promoter conferred greater transgene expression than in NRCMs. In ex vivo sinus node tissue, only the CMV construct was capable of driving significant GFP expression. Notably, expression was largely confined to the sinus node, with only sparse expression detected in the surrounding atrial muscle. Conclusions SBF-SEM revealed ultrastructure of free running PFs in situ, and uncovered novel structural changes in HF that are likely to be pro-arrhythmic. Preliminary data suggest that 1.2 kb and 0.8 kb fragments of the HCN4 promoter are capable of driving sinus node specific transgene expression. Further tests are warranted to confirm the utility of these promoters to express therapeutic transgenes, such as miR sponges to competitively inhibit miR activity in vitro and in vivo. Acknowledgement/Funding The British Heart Foundation


2022 ◽  
Author(s):  
Rodrigue Fonkou ◽  
Patrick Louodop ◽  
Pierre Kisito Talla

Abstract The heart rhythm is one of the most interesting aspects of the dynamic behavior of biological systems. Understanding heart rhythms is essential in the dynamic analysis of the heart. Each type of dynamic behaviour can describe normal or pathological physiology. The heart is made up of nodes ranging from SA node (natural pacemaker) to Purkinje fibers. The electric current originates in the sinus node and travels through the heart until it reaches the Purkinje fibers, causing after its passage through each of the nodes a heartbeat thus constituting the electrocardiogram (ECG). Since the origin of the electric current is the sinus node, in this article we study numerically and experimentally by microcontroller the influence of the sinus node on the propagation of electric current through the heart. A study of the sinus node in its autonomous state shows us that in their coupled state, the nodes of the heart qualitatively reproduce the time series of the action potential of this latter, which leads to the recording of the ECG. A study when the sinus node is subjected to periodic pulsed excitation E 1(t) = kP(t), assumed to come from blood pressure, with P(t) the blood pressure, shows that for some selected frequencies, it is found that the nodes of the heart and the ECG exhibit responses having the same shape and the same frequencies as those of the pulsatile blood pressure. This suggests the possibility of using such a conversion and excitation mechanism to replicate the functioning of cardiac conduction system. The chaotic analysis of the sinus node subjected to a sinusoidal type disturbance (E 0sin(ωt)) is also presented, it shows that in its chaotic state, the nodes of the heart, as well as the ECG, provide very high frequency signals. This requires the control of the sinus node (natural pacemaker) in such a situation


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
K Hayashi ◽  
N Fujino ◽  
H Furusho ◽  
S Usui ◽  
K Sakata ◽  
...  

Abstract Background The genetic bases of cardiac conduction-system disease (CCSD) range from ion channelopathies to mutations in many other genes. Genome-wide association studies have shown common variants in SCN10A influence cardiac conduction. However, it has not yet to be determined whether vulnerability to CCSD is associated with rare coding sequence variation in the SCN10A gene. Purpose We sought to determine the clinical impact of rare variants in SCN10A in patients with CCSD and classified the variants according to the 2015 American College of Medical Genetics and Genomics (ACMG) standards and guidelines. Methods We performed screening for rare variants (minor allele frequency ≤0.001) in SCN10A in CCSD patients with an onset at a young age under 65 or those who had a family history of pacemaker implantation (PMI) (n=40; 18 female; mean age, 41±18 years). We transiently expressed engineered variants in ND 7/23 cells, and conducted whole-cell voltage clamp experiments to clarify the functional properties of the Nav1.8 current. Results We identified nine rare variants in SCN10A in 7 patients. Two patients were carriers of two rare variants in SCN10A and 5 were carriers of one rare variant in SCN10A. Four patients were affected with sinus node dysfunction, 1 were atrioventricular block, and 2 were both dysfunctions. We performed electrophysiological study for 8 of 9 rare variants. It demonstrated that 2 rare variants showed gain-of-function, and 3 rare variants showed loss-of-function. We finally determined 5 likely pathogenic variants in SCN10A in 5 patients (12.5%) according to the ACMG standards and guidelines. All 5 patients underwent a pacemaker implantation at an average age of 43±16. Conclusions These results demonstrate that SCN10A variants play a pivotal role in enhanced susceptibility of CCSD. We suggest the importance for screening SCN10A variants in clinical settings. Funding Acknowledgement Type of funding source: None


1998 ◽  
Vol 08 (08) ◽  
pp. 1725-1731 ◽  
Author(s):  
Maria G. Signorini ◽  
Diego di Bernardo

The mathematical modeling of biological systems has proven to be a valuable tool by allowing experiments which would otherwise be unfeasible in a real situation. In this work we propose a system of nonlinear differential equations describing the macroscopic behavior of the cardiac conduction system. The model describes the interactoin between the SinoAtrial and AtrioVentricular node. Its very simple structure consists of two nonlinear oscillators resistively coupled. The numerical analysis detects different kinds of bifurcations whose pathophysiological meanings are discussed. Moreover, the model is able to classify different pathologies, such as several classes of arrhythmic events, as well as to suggest hypothesis on the mechanisms that induce them. These results also show that the mechanisms generating the heartbeat obey complex laws. The model provides a wuite complete description of different pathological phenomena and its simplicity can be exploited for further studies on the control of cardiac dynamics.


1995 ◽  
Vol 43 (6) ◽  
pp. 601-605 ◽  
Author(s):  
A Sugiyama ◽  
S McKnite ◽  
P Wiegn ◽  
K G Lurie

To characterize differences in regional cAMP production in the cardiac conduction system, 18 rats were anesthetized with pentobarbital (65 mg/kg IP) and randomized into a control (n = 9) and a stimulated group (n = 9). The stimulated group received aminophylline (20 mg/kg SC) and isoproterenol (16 micrograms/kg SC). The concentration of cAMP in freeze-dried, micro dissected pieces (1-3 micrograms) of cardiac tissue was measured using a new microanalytical method. The cAMP contents in right atrium, atrioventricular node, His bundle, and left ventricle (fmol/microgram dry weight, mean +/- SE) were 38.9 +/- 2.5, 39.0 +/- 4.3, 46.4 +/- 6.1, and 41.4 +/- 3.3 in controls and 72.9 +/- 6.7, 86.1 +/- 2.9, 115.0 +/- 11.5, and 79.5 +/- 7.3 in the stimulated group, respectively. Basal cAMP levels were similar throughout the heart, whereas isoproterenol increased cAMP levels in all regions (p < 0.01). Furthermore, cAMP levels in His bundle, after isoproterenol, were higher than in any other region (p < 0.05). These results demonstrate that: (a) cAMP can be measured in discrete portions of the cardiac conduction system; (b) there are significant regional differences of beta-adrenergic control in the cardiac conduction system; and (c) cAMP production after beta-adrenergic stimulation was lower than expected in the AV nodal region, based on previously described beta-adrenoceptor density measurements.


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