scholarly journals Relationship between clinical data and gene expression in the HER2/ErbB2-dependent signaling pathway in patients with acute heart failure

2013 ◽  
Vol 54 (4) ◽  
pp. 447-453 ◽  
Author(s):  
Sebastian Szmit ◽  
Michał Jank ◽  
Henryk Maciejewski ◽  
Paweł Balsam ◽  
Magdalena Łój ◽  
...  
Keyword(s):  
Gene Expression ◽  
Heart Failure ◽  
Signaling Pathway ◽  
Acute Heart Failure ◽  
Clinical Data ◽  
Dependent Signaling Pathway

Prognosis of acute heart failure based on clinical data of congestion

2021 ◽  
Author(s):  
B. Espinosa ◽  
P. Llorens ◽  
V. Gil ◽  
X. Rossello ◽  
J. Jacob ◽  
...  
Keyword(s):  
Heart Failure ◽  
Acute Heart Failure ◽  
Clinical Data

Abstract 417: Cardiac Akap12 Signalosome Overexpression Exacerbation of Heart Failure and β-arrestin Signaling Pathway

2020 ◽  
Vol 127 (Suppl_1) ◽  
Author(s):  
Hanan Qasim ◽  
Arfaxad Reyes Alcaraz ◽  
Bradley K McConnell
Keyword(s):  
Gene Expression ◽  
Heart Failure ◽  
Protein Expression ◽  
Signaling Pathway ◽  
Systolic Function ◽  
Left Ventricular ◽  
Control Groups ◽  
Expression Levels ◽  
Anchoring Protein ◽  
The Impact

Background: Heart failure (HF) is responsible for 1 out of 8 deaths per year in the U.S.A. andis the major cause of death globally. In HF, chronic β-adrenergic receptor (β-AR)stimulation leads to reduced cardiac function due in part to β-AR desensitization.β-arrestins are proteins that play a major role in desensitizing G protein-coupledreceptors (GPCRs) such as β-AR. Previously we reported enhanced cardiacfunction in mice lacking functional A Kinase Anchoring Protein 12 (AKAP12). Inthis study, we aim to investigate the impact of AKAP12 overexpression(oxAKAP12) on HF progression through assessing β-arrestins. Our central hypothesis is that cardiac AKAP12 overexpression potentiates HF developmentby influencing β-arrestin signaling downstream of the β-AR. Methods: HF was developed in WT and oxAKAP12-Tg mice (8-10) weeks old males andfemales, through chronic Isoproterenol (ISO) administration (60mg/kg/day for 14days). Left ventricular homogenates were used for gene expression analysis.Furthermore, AKAP12 was transiently overexpressed in AC16 cells (humancardiomyocytes cell line), to asses protein expression levels and Gαs pathwayactivity, upon treatment with 100 nM of ISO. Results: Cardiac oxAKAP12 in both males and females reduced left ventricular ejectionfraction (EF) by 14.5±2.5% and fractional shortening (FS) by 22.7±2% after 14-days of chronic ISO treatment when compared to control groups. β-arrestin-1gene expression levels were significantly lower (p=0.022) in oxAKAP12 malehomogenates treated with ISO (14 days) compared to control groups.Interestingly, female homogenates overexpressing AKAP12 showed significantlyhigher β-arrestin-1 gene expression levels (p<0.0001) with ISO treatment,compared to control groups. In AC16 cells overexpressing AKAP12 and treatedwith ISO, Gαs activity and β-arrestin-1 protein expression levels were bothreduced by 50% compared to AC16 ISO treated groups. Conclusion: Cardiac oxAKAP12 negatively influences systolic function in both male andfemale mice, potentially through affecting β-arrestin signaling pathway. Thus,designing novel drugs to inhibit AKAP12 is promising to ameliorate HF.

scholarly journals A Mathematical Model Linking Ca2+-Dependent Signaling Pathway and Gene Expression Regulation in Human Skeletal Muscle

2020 ◽  
Vol 15 (1) ◽  
pp. 20-39
Author(s):  
I.R. Akberdin ◽  
A.Yu. Vertyshev ◽  
S.S. Pintus ◽  
D.V. Popov ◽  
F.A. Kolpakov
Keyword(s):  
Gene Expression ◽  
Skeletal Muscle ◽  
Signal Transduction ◽  
Signaling Pathways ◽  
Signaling Pathway ◽  
Human Skeletal Muscle ◽  
Expression Regulation ◽  
Signal Molecules ◽  
Late Response ◽  
Dependent Signaling Pathway

The physiological adaptation to aerobic endurance exercises is provided by activation of signaling pathways in skeletal muscle cells. Training-induced activation of specific signaling pathways results in significant transcriptional responses. Despite the ongoing endeavours to experimentally investigate regulatory mechanisms and signal transduction pathways involved in the contraction-induced adaptation, quantitative contribution of certain signal molecules in expression regulation of genes responsible for intracellular response has not been studied comprehensively yet. The paper presents novel developed model linking Ca2+-dependent signaling pathway and downstream transcription regulation of early and late response genes in human skeletal muscle during exercise. Numerical analysis of the model enabled to reveal crucial steps in this signal transduction pathway for the adaptation and demonstrated the necessity of consideration of additional transcription factors regulating transcription of late response genes in order to adequately reproduce gene expression data that were taken in human vastus lateralis muscle during and after acute cycling exercise.

scholarly journals Identification of transcription factors MYC and C/EBPβ mediated regulatory networks in heart failure based on Gene Expression Omnibus datasets

2020 ◽  
Author(s):  
Haiwei Wang ◽  
Xinrui Wang ◽  
Liangpu Xu ◽  
Hua Cao
Keyword(s):  
Gene Expression ◽  
Heart Failure ◽  
Transcription Factors ◽  
Signaling Pathways ◽  
Signaling Pathway ◽  
Insulin Signaling ◽  
Regulatory Networks ◽  
Target Genes ◽  
Insulin Signaling Pathway ◽  
Failing Heart

Abstract Background: Heart failure is one of leading cause of death worldwide. However, the transcriptional profiling of heart failure is unclear. Moreover, the signaling pathways and transcription factors involving the heart failure development also are largely unknown. Using published Gene Expression Omnibus (GEO) datasets, in the present study, we aim to comprehensively analyze the differentially expressed genes in failing heart tissues, and identified the critical signaling pathways and transcription factors involving heart failure development. Methods: The transcriptional profiling of heart failure was identified from previously published gene expression datasets deposited in GSE5406, GSE16499 and GSE68316. The enriched signaling pathways and transcription factors were analyzed using Database for Annotation, Visualization and Integrated Discovery (DAVID) website and gene set enrichment analysis (GSEA) assay. The transcriptional networks were created by Cytoscape. Results: Compared with the normal heart tissues, 90 genes were particularly differentially expressed in failing heart tissues, and those genes were associated with multiple metabolism signaling pathways and insulin signaling pathway. Metabolism and insulin signaling pathway were both inactivated in failing heart tissues. Transcription factors MYC and C/EBPβ were both negatively associated with the expression profiling of failing heart tissues in GSEA assay. Moreover, compared with normal heart tissues, MYC and C/EBPβ were down regulated in failing heart tissues. Furthermore, MYC and C/EBPβ mediated downstream target genes were also decreased in failing heart tissues. MYC and C/EBPβ were positively correlated with each other. At last, we constructed MYC and C/EBPβ mediated regulatory networks in failing heart tissues, and identified the MYC and C/EBPβ target genes which had been reported involving the heart failure developmental progress. Conclusions: Our results suggested that metabolism pathways and insulin signaling pathway, transcription factors MYC and C/EBPβ played critical roles in heart failure developmental progress.

scholarly journals Identification of transcription factors MYC and C/EBPβ mediated regulatory networks in heart failure based on Gene Expression Omnibus datasets

2020 ◽  
Author(s):  
Haiwei Wang ◽  
Xinrui Wang ◽  
Liangpu Xu ◽  
Hua Cao
Keyword(s):  
Gene Expression ◽  
Heart Failure ◽  
Transcription Factors ◽  
Signaling Pathways ◽  
Signaling Pathway ◽  
Insulin Signaling ◽  
Regulatory Networks ◽  
Target Genes ◽  
Insulin Signaling Pathway ◽  
Failing Heart

Abstract Background: Heart failure is one of leading cause of death worldwide. However, the transcriptional profiling of heart failure is unclear. Moreover, the signaling pathways and transcription factors involving the heart failure development also are largely unknown. Using published Gene Expression Omnibus (GEO) datasets, in the present study, we aim to comprehensively analyze the differentially expressed genes in failing heart tissues, and identified the critical signaling pathways and transcription factors involving heart failure development.Methods: The transcriptional profiling of heart failure was identified from previously published gene expression datasets deposited in GSE5406, GSE16499 and GSE68316. The enriched signaling pathways and transcription factors were analyzed using Database for Annotation, Visualization and Integrated Discovery (DAVID) website and gene set enrichment analysis (GSEA) assay. The transcriptional networks were created by Cytoscape.Results: Compared with the normal heart tissues, 90 genes were particularly differentially expressed in failing heart tissues, and those genes were associated with multiple metabolism signaling pathways and insulin signaling pathway. Metabolism and insulin signaling pathway were both inactivated in failing heart tissues. Transcription factors MYC and C/EBPβ were both negatively associated with the expression profiling of failing heart tissues in GSEA assay. Moreover, compared with normal heart tissues, MYC and C/EBPβ were down regulated in failing heart tissues. Furthermore, MYC and C/EBPβ mediated downstream target genes were also decreased in failing heart tissues. MYC and C/EBPβ were positively correlated with each other. At last, we constructed MYC and C/EBPβ mediated regulatory networks in failing heart tissues, and identified the MYC and C/EBPβ target genes which had been reported involving the heart failure developmental progress.Conclusions: Our results suggested that metabolism pathways and insulin signaling pathway, transcription factors MYC and C/EBPβ played critical roles in heart failure developmental progress.

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