Resting respiratory lung volumes are “healthier” than exercise respiratory volumes in different types of palliated or corrected congenital heart disease

2020 ◽  
Vol 55 (3) ◽  
pp. 697-705
Author(s):  
Marianna Fabi ◽  
Anna Balducci ◽  
Salvatore Cazzato ◽  
Arianna Aceti ◽  
Marcella Gallucci ◽  
...  

Author(s):  
Shiva Abbasi ◽  
Neda Mohsen-Pour ◽  
Niloofar Naderi ◽  
Shahin Rahimi ◽  
Majid Maleki ◽  
...  

Introduction: Congenital heart disease (CHD) is the most common congenital abnormality and the main cause of infant mortality worldwide. Some of the mutations that occur in the GATA4 gene region may result in different types of CHD. Here, we report our in silico analysis of gene variants to determine the effects of the GATA4 gene on the development of CHD. Methods: Online 1000 Genomes Project, ExAC, gnomAD, GO-ESP, TOPMed, Iranome, GME, ClinVar, and HGMD databases were drawn upon to collect information on all the reported GATA4 variations.The functional importance of the genetic variants was assessed by using SIFT, MutationTaster, CADD,PolyPhen-2, PROVEAN, and GERP prediction tools. Thereafter, network analysis of the GATA4protein via STRING, normal/mutant protein structure prediction via HOPE and I-TASSER, and phylogenetic assessment of the GATA4 sequence alignment via ClustalW were performed. Results: The most frequent variant was c.874T>C (45.58%), which was reported in Germany.Ventricular septal defect was the most frequent type of CHD. Out of all the reported variants of GATA4,38 variants were pathogenic. A high level of pathogenicity was shown for p.Gly221Arg (CADD score=31), which was further analyzed. Conclusion: The GATA4 gene plays a significant role in CHD; we, therefore, suggest that it be accorded priority in CHD genetic screening.



Introduction 94Ostium secundum ASD 96Ostium primum ASD 100Sinus venosus ASD 100Coronary sinus defect 102Patent foramen ovale 104Interatrial communications account for ~10% of congenital heart disease. Different types of atrial septal defect (ASD) are illustrated in Fig. 8.1.•...



2014 ◽  
Vol 38 (2) ◽  
pp. 79-85 ◽  
Author(s):  
Shormin Ara Ferdousi ◽  
Ferdousur Rahman Sarker ◽  
Nasim Jahan ◽  
Nurunnahar Fatema

Background: The aim of the study was to unveil the prevalence of different types of Congenital Heart Disease (CHD) through echocardiogram and to perceive the utility of Echocardiogram in diagnosis of CHD in Infant of Diabetic Mother (IDM). Methodology: This explorative study was carried out at Combined Military Hospital (CMH) Dhaka, Bangladesh over a period of one year from July 2004 to June 2005. The study was done on 56 neonates of gestational diabetic mother irrespective of their gestational age and birth weight who were delivered at CMH. All the patients were evaluated by echocardiography by an expert pediatric cardiologist of the same institute within 7 days of delivery. Results: Out of 56 IDM 5.2% was normal. The most common Echo-cardiographic finding was patent Foramen Ovale (60.71%). Other different Echocardiographic findings were patent Ductusarteriosusin 31 (55.3%) cases, Hypertrophic Cardiomyopathy in 12 (21.42%) cases and ASD in 6 (10.71%) cases. Some other uncommon findings include Ventricular Septal Defect (VSD), Tricuspid Regurgitation(TR) and Right ventricular hypertrophy(RVH). Conclusion: These findings of CHD of Infant of Diabetic Mother (IDM) could demonstrate that Echocardiogram might be used as an effective tool to diagnose CHD for the IDM. DOI: http://dx.doi.org/10.3329/bjch.v38i2.21140 Bangladesh J Child Health 2014; VOL 38 (2) : 74-78



2020 ◽  
Vol 32 (02) ◽  
pp. 2050012
Author(s):  
Y. Mahesha ◽  
C. Nagaraju

This paper presents the survey on different techniques which can be used to detect congenital heart disease using palm patterns. The congenital heart disease is one of the heart diseases which starts from birth. Research works are carried out towards detecting congenital heart disease before symptom appears using palm patterns so that it avoids critical health problems in future. Researchers have collected palm prints from normal people who are not suffering from any kind of heart disease and from patients who are suffering from different types of congenital heart diseases. These palm prints are collected from different hospitals. The palm prints are taken using ink and paper method. These palm patterns are analyzed to determine the role of palm pattern while detection of the disease. Few researchers have considered only triradius of palm and most of the researchers have considered palm patterns such as whorl, loop, arch and hypothenar pattern. In case of triradius, researchers have calculated position of axial triradius and it is categorized into three types. In case of whorl, loop and arch, they have considered how often they appear in palm of normal people and patients. Few researchers have analyzed both left and right hands of normal people and patients.



2020 ◽  
Author(s):  
Shaoyan Chang ◽  
Yubo Wang ◽  
Yu Xin ◽  
Shuangxing Wang ◽  
Yi Luo ◽  
...  

Abstract Background: Congenital heart disease (CHD) is resulted from the interaction of genetic aberration and environmental factors. Imprinted genes, which are regulated by epigenetic modifications, are essential for the normal embryonic development. However, the role of imprinted genes in the etiology of CHD remains unclear. Results: We investigated the alterations effect of imprinted gene gDMR methylation in patients with CHD. Eighteen imprinted genes that are known to affect early embryonic development were selected and the methylation modification genes were detected by massarray in 27 CHD children and 28 healthy children. Altered gDMR methylation level of 8 imprinted genes was found, including 2 imprinted genes with hypermethylation of GRB10 and MEST and 6 genes with hypomethylation of PEG10, NAP1L5, INPP5F, PLAGL1, NESP and MEG3. Stratified analysis showed that the methylation degree of imprinted genes was different in different types of CHD. Risk analysis showed that 6 imprinted genes, except MEST and NAP1L5, within a specific methylation level range were the risk factors for CHDConclusion: Altered methylation of imprinted genes is associated with CHD and varies in different types of CHD. Further experiments are warranted to identify the methylation characteristics of imprinted genes in different types of CHD and clarify the pathogenesis mechanism of imprinted genes in CHD.



PLoS ONE ◽  
2013 ◽  
Vol 8 (1) ◽  
pp. e54726 ◽  
Author(s):  
Ting Sun ◽  
Hua Tian ◽  
Changqian Wang ◽  
Ping Yin ◽  
Yaqin Zhu ◽  
...  


2020 ◽  
Author(s):  
Shaoyan Chang ◽  
Yubo Wang ◽  
Yu Xin ◽  
Shuangxing Wang ◽  
Yi Luo ◽  
...  

Abstract Background: Congenital heart disease (CHD) is resulted from the interaction of genetic aberration and environmental factors. Imprinted genes, which are regulated by epigenetic modifications, are essential for the normal embryonic development. However, the role of imprinted genes in the pathogenesis of CHD remains unclear.Results: We investigated the effect of imprinted gene methylation on the pathogenesis of CHD. Eighteen imprinted genes that are known to affect early embryonic development were selected and the methylation modification genes were detected by massarray in 27 CHD children and 28 healthy children. Altered methylation of 8 imprinted genes was found, including 2 imprinted genes with hypermethylation of GRB10 and MEST and 6 genes with hypomethylation of PEG10, NAP1L5, INPP5F, PLAGL1, NESP and MEG3. Stratified analysis showed that the methylation degree of imprinted genes was different in different types of CHD. Risk analysis showed that 6 imprinted genes within a specific methylation level range were the risk factor for CHD except MEST and NAP1L5.Conclusion: Altered methylation of imprinted genes is associated with CHD and varies in different types of CHD. Further experiments are warranted to identify the methylation characteristics of imprinted genes in different types of CHD and clarify the pathogenesis mechanism of imprinted genes in CHD.



2011 ◽  
Vol 34 (8) ◽  
pp. 513-518 ◽  
Author(s):  
Wei-Jie Zeng ◽  
Xian-Ling Lu ◽  
Chang-Ming Xiong ◽  
Guang-Liang Shan ◽  
Zhi-Hong Liu ◽  
...  


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