Metabolic stress and therapeutic response in heart failure associated with congenital heart disease
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE146341 | GEO | 2022/04/07
REPOSITORIES: GEO
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Project description:Hypoplastic left heart syndrome (HLHS) is the most lethal congenital heart disease (CHD). The pathogenesis of HLHS is poorly understood and due to the likely oligogenic complexity of the disease, definitive HLHS-causing genes have not yet been identified. Postulating that impaired cardiomyocyte proliferation as a likely important contributing mechanism to HLHS pathogenesis, and we conducted a genome-wide siRNA screen to identify genes affecting proliferation of human iPSC-derived cardiomyocytes (hPSC-CMs). This yielded ribosomal protein (RP) genes as the most prominent class of effectors of CM proliferation. In parallel, whole genome sequencing and rare variant filtering of a cohort of 25 HLHS proband-parent trios with poor clinical outcome revealed enrichment of rare variants of RP genes. In addition, in another familial CHD case of HLHS proband we identified a rare, predicted-damaging promoter variant affecting RPS15A that was shared between the proband and a distant relative with CHD. Functional testing with an integrated multi-model system approach reinforced the idea that RP genes are major regulators of cardiac growth and proliferation, thus potentially contributing to hypoplastic phenotype observed in HLHS patients. Cardiac knockdown (KD) of RP genes with promoter or coding variants (RPS15A, RPS17, RPL26L1, RPL39, RPS15) reduced proliferation in generic hPSC-CMs and caused malformed hearts, heart-loss or even lethality in Drosophila. In zebrafish, diminished rps15a function caused reduced CM numbers, heart looping defects, or weakened contractility, while reduced rps17 or rpl39 function caused reduced ventricular size or systolic atrial dysfunction, respectively. Importantly, genetic interactions between RPS15A and core cardiac transcription factors TBX5 in CMs, Drosocross, pannier and tinman in flies, and tbx5 and nkx2-7 (nkx2-5 paralog) in fish, support a specific role for RP genes in heart development. Furthermore, RPS15A KD-induced heart/CM proliferation defects were significantly attenuated by p53 KD in both hPSC-CMs and zebrafish, and by Hippo activation (YAP/yorkie overexpression) in developing fly hearts. Based on these findings, we conclude that RP genes play critical roles in cardiogenesis and constitute an emerging novel class of gene candidates likely involved in HLHS and other CHDs.
2022-07-14 | GSE207658 | GEO
Project description:Complex molecular programs in specific cell lineages govern human heart development. Hypoplastic left heart syndrome (HLHS) is the most severe congenital heart defect encompassing a spectrum of left-ventricular hypoplasia occurring in association with outflow-tract obstruction. The current clinical paradigm assumes HLHS is largely of hemodynamic origin. Here, by combining whole-exome sequencing of 87 HLHS parent-offspring trios and transcriptome of cardiomycytes (CMs) from healthy and patient native ventricles at different stages of development we identified perturbations in coherent gene programs controlling ventricular muscle lineage development. Single-cell and 3D molecular/functional modeling with iPSCs demonstrated intrinsic defects in the cell-cycle/ciliogenesis/autophagy hub resulting in disrupted differentiation of early cardiac progenitor (CP) lineages and ultimate defective CM-subtype differentiation/maturation in HLHS. Moreover, premature cellcycle exit of ventricular CM prevents tissue response to cues of developmental growth leading to multinucleation/polyploidy, accumulation of DNA damage, exacerbated apoptosis, and eventually ventricle hypoplasia. Our results highlight how genetic heterogeneity in HLHS converges in perturbations of sequential cellular processes driving cardiogenesis and facilitate potential novel nodes for therapy beside surgical intervention.
2022-02-15 | PXD014812 | Pride
Project description:The heart, the first organ to develop, undergoes complex morphogenesis that when defective results in congenital heart disease (CHD). With current therapies, more than 90% of CHD patients survive into adulthood but often suffer premature death from heart failure (HF) and non-cardiac causes 1. To gain insight into poorly understood disease progression, we performed single nuclear RNA sequencing (snRNA-seq) and analyzed more than 157,000 nuclei from donors and CHD patients, including hypoplastic left heart syndrome (HLHS) and Tetralogy of Fallot (TOF), two common forms of cyanotic CHD lesions, as well as, dilated (DCM) and hypertrophic (HCM) cardiomyopathies. We observed CHD specific cell states in cardiomyocytes (CMs) which had evidence of insulin resistance and increased FOXO and CRIM1 expression. Cardiac fibroblasts (CFs) in HLHS had enrichment for a low HIPPO and high YAP cell state characteristic of activated CFs. Imaging Mass Cytometry (IMC) uncovered the spatially resolved perivascular microenvironment consistent with an immunodeficient state in CHD. Peripheral immune cell profiling suggested deficient monocytic immunity in CHD in agreement with CHD predilection to infection and cancer 2. Our comprehensive CHD phenotyping provides a roadmap for future personalized medicine in CHD.
2022-06-22 | GSE203273 | GEO
Project description:The heart, the first organ to develop, undergoes complex morphogenesis that when defective results in congenital heart disease (CHD). With current therapies, more than 90% of CHD patients survive into adulthood but often suffer premature death from heart failure (HF) and non-cardiac causes 1. To gain insight into poorly understood disease progression, we performed single nuclear RNA sequencing (snRNA-seq) and analyzed more than 157,000 nuclei from donors and CHD patients, including hypoplastic left heart syndrome (HLHS) and Tetralogy of Fallot (TOF), two common forms of cyanotic CHD lesions, as well as, dilated (DCM) and hypertrophic (HCM) cardiomyopathies. We observed CHD specific cell states in cardiomyocytes (CMs) which had evidence of insulin resistance and increased FOXO and CRIM1 expression. Cardiac fibroblasts (CFs) in HLHS had enrichment for a low HIPPO and high YAP cell state characteristic of activated CFs. Imaging Mass Cytometry (IMC) uncovered the spatially resolved perivascular microenvironment consistent with an immunodeficient state in CHD. Peripheral immune cell profiling suggested deficient monocytic immunity in CHD in agreement with CHD predilection to infection and cancer 2. Our comprehensive CHD phenotyping provides a roadmap for future personalized medicine in CHD.
2022-06-22 | GSE203274 | GEO
Project description:Congenital heart disease (CHD) is a prevalent birth defect affecting up to 1% of live births. While a genetic etiology is indicated by increased recurrence risk and association with chromosomal abnormalities, the genetics of CHD is poorly understood and likely complex. Here we show hypoplastic left heart syndrome (HLHS), a severe CHD with high morbidity/mortality, has a multigenic etiology. Analysis of 8 HLHS mutant mouse lines recovered from a large-scale mutagenesis screen showed no mutations are shared in common. In the *Ohia* mouse line, mutations in 2 genes, *Pcdha9*/*Sap130*, act synergistically to cause HLHS. Cardiomyocyte proliferation and differentiation defects likely act in concert with valve abnormalities to cause HLHS. Network analysis of mutations recovered in HLHS mice and 68 HLHS patients point to Notch signaling disruption, a pathway previously implicated in HLHS. These findings demonstrate large-scale mutagenesis is an effective systems approach for interrogating the complex genetics of human diseases.
2017-04-13 | GSE77746 | GEO
Project description:Congenital heart disease (CHD) is a prevalent birth defect affecting up to 1% of live births. While a genetic etiology is indicated by increased recurrence risk and association with chromosomal abnormalities, the genetics of CHD is poorly understood and likely complex. Here we show hypoplastic left heart syndrome (HLHS), a severe CHD with high morbidity/mortality, has a multigenic etiology. Analysis of 8 HLHS mutant mouse lines recovered from a large-scale mutagenesis screen showed no mutations are shared in common. In the *Ohia* mouse line, mutations in 2 genes, *Pcdha9*/*Sap130*, act synergistically to cause HLHS. Cardiomyocyte proliferation and differentiation defects likely act in concert with valve abnormalities to cause HLHS. Network analysis of mutations recovered in HLHS mice and 68 HLHS patients point to Notch signaling disruption, a pathway previously implicated in HLHS. These findings demonstrate large-scale mutagenesis is an effective systems approach for interrogating the complex genetics of human diseases.
2017-04-13 | GSE77798 | GEO
Project description:Congenital heart disease (CHD) is a prevalent birth defect affecting up to 1% of live births. While a genetic etiology is indicated by increased recurrence risk and association with chromosomal abnormalities, the genetics of CHD is poorly understood and likely complex. Here we show hypoplastic left heart syndrome (HLHS), a severe CHD with high morbidity/mortality, has a multigenic etiology. Analysis of 8 HLHS mutant mouse lines recovered from a large-scale mutagenesis screen showed no mutations are shared in common. In the *Ohia* mouse line, mutations in 2 genes, *Pcdha9*/*Sap130*, act synergistically to cause HLHS. Cardiomyocyte proliferation and differentiation defects likely act in concert with valve abnormalities to cause HLHS. Network analysis of mutations recovered in HLHS mice and 68 HLHS patients point to Notch signaling disruption, a pathway previously implicated in HLHS. These findings demonstrate large-scale mutagenesis is an effective systems approach for interrogating the complex genetics of human diseases. SUBMITTER_CITATION: Journal: Nature Genetics Title: The complex genetics of hypoplastic left heart syndrome Author names: Xiaoqin Liu1, Hisato Yagi1, Shazina Saeed1, Abha S. Bais1, George C. Gabriel1, Zhaohan Chen1, Kevin A. Peterson4, You Li1, Molly C. Schwartz1, William T. Reynolds1, Manush Saydmohammed1, Brian Gibbs1, Yijen Wu1, William Devine1, Bishwanath Chatterjee1, Nikolai T. Klena1, Dennis Kostka1, Karen L. de Mesy Bentley5, Madhavi K.Ganapathiraju2, Phillip Dexheimer11, Linda Leatherbury7, Omar Khalifa1, Anchit Bhagat1, Maliha Zahid1, William Pu8, Simon Watkins3, Paul Grossfeld9, Stephen Murray4, George A. Porter, Jr.6, Michael Tsang1, Lisa J.Martin10, D.Woodrow.Benson12, Bruce J. Aronow11, Cecilia W. Lo1
2017-04-13 | GSE77799 | GEO
Project description:Congenital heart diseases (CHD) are a class of birth defects affecting ~1% of live births. These conditions are hallmarked by extreme genetic heterogeneity, and therefore, despite a strong genetic component, only a very handful of at-risk loci in CHD have been identified. We herein introduced systems analyses to uncover the hidden organization on biological networks of genomic mutations in CHD, and leveraged network analysis techniques to integrate the human interactome, large-scale patient exomes, the fetal heart spatial transcriptomes, and single-cell transcriptomes of clinical samples. We identified a highly connected network in CHD where most of the member proteins had previously uncharacterized functions in regulating fetal heart development. While genes on the network displayed strong enrichment for heart-specific functions, a sub-group, active specifically at early developmental stages, also regulates fetal brain development, thereby providing mechanistic insights into the clinical comorbidities between CHD and neurodevelopmental conditions. At a small scale, we experimentally verified previously uncharacterized cardiac functions of several novel proteins employing cellular assays and gene editing techniques. At a global scale, our study revealed developmental dynamics of the identified CHD network and observed the strongest enrichment for pathogenic mutations in the network specific to hypoplastic left heart syndrome (HLHS). Our single-cell transcriptome analysis further identified pervasive dysregulation of the network in cardiac endothelial cells and the conduction system in the HLHS left ventricle. Taken together, our systems analyses identified novel factors in CHD, revealed key molecular mechanisms in HLHS, and provides a generalizable framework readily applicable to studying many other complex diseases.
2022-09-26 | GSE197709 | GEO
Project description:Hypoplastic left heart syndrome (HLHS) is a heterogeneous, lethal combination of congenital malformations that result in a heart unable to sustain systemic circulation. The genetic determinants of this disorder are largely unknown. Evidence of copy number variants (CNVs) contributing to the genetic etiology of HLHS and other congenital heart defects (CHDs) has been mounting. However, the functional effects of such CNVs have not been examined, particularly in cases where the variant of interest is found in only a single patient. Initially whole-genome SNP microarrays were employed to detect CNVs in two patient cohorts (N = 70 total) predominantly diagnosed with some form of nonsyndromic HLHS. We discovered 16 rare variants adjacent to or overlapping 20 genes associated with cardiovascular or premature lethality phenotypes in mouse knockout models. Fifteen of the 16 variants were identified in separate patients, suggestive of a private mutation model of disease. We evaluated the impact of selected variants on the expression of nine of these genes through quantitative PCR on cDNA derived from patient heart tissue. Four genes displayed significantly altered expression in patients with an overlapping or proximal CNV verses patients without such CNVs. Thus, rare and private genomic imbalances perturb transcription of genes affecting cardiogenesis in a subset of nonsyndromic HLHS patients. Some of these genes influence extracellular matrix structure, cardiac neural crest development, and coronary vascularization. A total of 70 samples from CHD patients, mostly with nonsyndromic HLHS, yielded SNP genotypes and probe intensity ratios of sufficient quality for CNV identification. Two classes of CNV detection algorithms (HMM and CBS) were employed. After identification, concordant entries were subjected to selection criteria based on rarity and gene content, which produced putative candidate genes for follow-up experiments.
2015-12-10 | E-GEOD-66032 | biostudies-arrayexpress
Project description:Single cell transcriptome analysis was performed on one Hypoplastic Left Heart Synrome (HLHS) cell line and one control cell line.
2020-03-11 | GSE146763 | GEO