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Identification of epigenetic factor KAT2B gene variants for possible roles in congenital heart diseases.

表观遗传因子 KAT2B 基因变异在先天性心脏病中可能作用的鉴定。

  • 影响因子:2.87
  • DOI:10.1042/BSR20191779
  • 作者列表:"Hou YS","Wang JZ","Shi S","Han Y","Zhang Y","Zhi JX","Xu C","Li FF","Wang GY","Liu SL
  • 发表时间:2020-04-02
Abstract

Congenital heart disease (CHD) is a group of anatomic malformations in the heart with high morbidity and mortality. The mammalian heart is a complex organ, the formation and development of which are strictly regulated and controlled by gene regulatory networks of many signaling pathways such as TGF-β. KAT2B is an important histone acetyltransferase epigenetic factor in the TGF-β signaling pathway, and alteration in the gene is associated with the etiology of cardiovascular diseases. The aim of this work was to validate whether KAT2B variations might be associated with CHD. We sequenced the KAT2B gene for 400 Chinese Han CHD patients and evaluated SNPs rs3021408 and rs17006625. The statistical analyses and Hardy-Weinberg equilibrium tests of the CHD and control populations were conducted by the software SPSS (version 19.0) and PLINK. The experiment-wide significance threshold matrix of LD correlation for the markers and haplotype diagram of LD structure were calculated using the online software SNPSpD and Haploview software. We analyzed the heterozygous variants within the CDS region of the KAT2B genes and found that rs3021408 and rs17006625 were associated with the risk of CHD.

摘要

先天性心脏病 (先心病) 是一组发病率和死亡率都很高的心脏解剖畸形。哺乳动物心脏是一个复杂的器官,其形成和发育受到 TGF-β 等多种信号通路的基因调控网络的严格调控。KAT2B 是 TGF-β 信号通路中一个重要的组蛋白乙酰转移酶表观遗传因子,该基因的改变与心血管疾病的病因有关。这项工作的目的是验证 KAT2B 变异是否与 CHD 相关。我们对 400 例中国汉族 CHD 患者的 KAT2B 基因进行了测序,并评估了 SNPs rs3021408 和 rs17006625。采用 SPSS (19.0 版) 和 PLINK 软件对 CHD 和对照人群进行统计分析和 Hardy-Weinberg 平衡检验。使用在线软件 SNPSpD 和单倍视图软件计算标记的 LD 相关的实验范围显著性阈值矩阵和 LD 结构的单倍型图。我们分析了 KAT2B 基因 CDS 区域内的杂合变异,发现 rs3021408 和 rs17006625 与 CHD 风险相关。

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影响因子:1.65
发表时间:2020-01-13
来源期刊:Nursing research
DOI:10.1097/NNR.0000000000000415
作者列表:["Rodriguez J","Adams-Chapman I","Affuso O","Azuero A","Downs CA","Turner-Henson A","Rice M"]

METHODS:BACKGROUND:Preterm birth is a risk factor for elevated blood pressure in childhood and the development of hypertension and cardiometabolic disease in adulthood; however, mechanisms for the development of both are poorly understood. Rapid weight gain early in childhood may serve as a driver directly and indirectly through cortisol levels found to be elevated in early childhood in individuals born preterm. OBJECTIVES:The objective of this pilot study was to examine the effect sizes of the relationships between weight gain and blood pressure in toddlers born very preterm. A secondary aim was to note any mediating effect of cortisol on the relationships between weight gain and blood pressure. METHODS:A cross-sectional design with a convenience sample of 36 toddlers who were born very preterm was used to examine the relationships between postnatal weight gain, cortisol, and blood pressure at follow-up. RESULTS:Many of the participants experienced rapid weight gain in the first 12 months of life. Mean systolic and diastolic readings were 94 and 56.6, respectively. Diastolic blood pressure readings were obtained from 23 participants and the majority were elevated. Weight gain was associated with diastolic blood pressure with a medium effect size. A mediating role with cortisol was not supported.Although findings need to be validated in a larger sample, the blood pressure elevations in this sample were alarming. If readings continue to amplify as these children age, the fact that elevations are already present during the toddler period could indicate more significant cardiovascular disease in adulthood for this population. Rapid weight gain in early life may be a driver for elevated blood pressure even during early childhood in individuals born preterm.

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影响因子:2.3490
发表时间:2020-01-21
DOI:10.3389/fped.2019.00567
作者列表:["Camilla Sandrini","Claudio Lombardi","Andrew I. U. Shearn","Maria Victoria Ordonez","Massimo Caputo","Francesca Presti","Giovanni Battista Luciani","Lucia Rossetti","Giovanni Biglino","Giovanni Biglino"]

METHODS:This article presents a case series of n = 21 models of fetal cardiovascular anatomies obtained from post mortem microfocus computed tomography (micro-CT) data. The case series includes a broad range of diagnoses (e.g., tetralogy of Fallot, hypoplastic left heart syndrome, dextrocardia, double outlet right ventricle, atrio-ventricular septal defect) and cases also had a range of associated extra-cardiac malformations (e.g., VACTERL syndrome, central nervous system anomalies, renal anomalies). All cases were successfully reconstructed from the microfocus computed tomography data, demonstrating the feasibility of the technique and of the protocols, including in-house printing with a desktop 3D printer (Form2, Formlabs). All models were printed in 1:1 scale as well as with the 5-fold magnification, to provide insight into the intra-cardiac structures. Possible uses of the models include education and training.

影响因子:8.02
发表时间:2020-01-19
来源期刊:Genome Medicine
DOI:10.1186/s13073-019-0709-8
作者列表:["Cigdem Sevim Bayrak","Peng Zhang","Martin Tristani-Firouzi","Bruce D. Gelb","Yuval Itan"]

METHODS:Abstract Background Congenital heart disease (CHD) affects ~ 1% of live births and is the most common birth defect. Although the genetic contribution to the CHD has been long suspected, it has only been well established recently. De novo variants are estimated to contribute to approximately 8% of sporadic CHD. Methods CHD is genetically heterogeneous, making pathway enrichment analysis an effective approach to explore and statistically validate CHD-associated genes. In this study, we performed novel gene and pathway enrichment analyses of high-impact de novo variants in the recently published whole-exome sequencing (WES) data generated from a cohort of CHD 2645 parent-offspring trios to identify new CHD-causing candidate genes and mutations. We performed rigorous variant- and gene-level filtrations to identify potentially damaging variants, followed by enrichment analyses and gene prioritization. Results Our analyses revealed 23 novel genes that are likely to cause CHD, including HSP90AA1, ROCK2, IQGAP1, and CHD4, and sharing biological functions, pathways, molecular interactions, and properties with known CHD-causing genes. Conclusions Ultimately, these findings suggest novel genes that are likely to be contributing to CHD pathogenesis.

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