scholarly journals Gene Expression Profiles Link Respiratory Viral Infection, Platelet Response to Aspirin, and Acute Myocardial Infarction

PLoS ONE ◽  
2015 ◽  
Vol 10 (7) ◽  
pp. e0132259 ◽  
Author(s):  
Jason J. Rose ◽  
Deepak Voora ◽  
Derek D. Cyr ◽  
Joseph E. Lucas ◽  
Aimee K. Zaas ◽  
...  
10.1186/gm560 ◽  
2014 ◽  
Vol 6 (5) ◽  
pp. 40 ◽  
Author(s):  
Jinhee Kim ◽  
Nima Ghasemzadeh ◽  
Danny J Eapen ◽  
Neo Chung ◽  
John D Storey ◽  
...  

2020 ◽  
Vol 21 (13) ◽  
pp. 4591
Author(s):  
Denise Traxler ◽  
Andreas Spannbauer ◽  
Patrick Einzinger ◽  
Julia Mester-Tonczar ◽  
Dominika Lukovic ◽  
...  

Clusterin exerts anti-inflammatory, cytoprotective and anti-apoptotic effects. Both an increase and decrease of clusterin in acute myocardial infarction (AMI) has been reported. We aimed to clarify the role of clusterin as a systemic biomarker in AMI. AMI was induced by percutaneous left anterior artery (LAD) occlusion for 90 min followed by reperfusion in 24 pigs. Contrast ventriculography was performed after reperfusion to assess left ventricular ejection fraction (LVEF), left ventricular end diastolic volume (LVEDV) and left ventricular end systolic volume (LVESV) and additional cMRI + late enhancement to measure infarct size and LV functions at day 3 and week 6 post-MI. Blood samples were collected at prespecified timepoints. Plasma clusterin and other biomarkers (cTnT, NT-proBNP, neprilysin, NGAL, ET-1, osteopontin, miR21, miR29) were measured by ELISA and qPCR. Gene expression profiles of infarcted and remote region 3 h (n = 5) and 3 days (n = 5) after AMI onset were analysed by RNA-sequencing. AMI led to an increase in LVEDV and LVESV during 6-week, with concomitant elevation of NT-proBNP 3-weeks after AMI. Plasma clusterin levels were increased immediately after AMI and returned to normal levels until 3-weeks. Plasma NGAL, ET-1 and miR29 was significantly elevated at 3 weeks follow-up, miR21 increased after reperfusion and at 3 weeks post-AMI, while circulating neprilysin levels did not change. Elevated plasma clusterin levels 120 min after AMI onset suggest that clusterin might be an additional early biomarker of myocardial ischemia.


2014 ◽  
Vol 115 (suppl_1) ◽  
Author(s):  
Janet K Lighthouse ◽  
Lissette S Velasquez ◽  
Eric M Small

The heart undergoes hypertrophic growth in response to both physiological and pathological stimuli. Pathological hypertrophy results from various humoral, mechanical, or ischemic insults, and often leads to cardiac fibrosis, diminished contractility, and heart failure. In contrast, physiological hypertrophy is an adaptive response to the excessive demands of exercise or pregnancy and does not lead to fibrosis. We hypothesized that cardiac fibroblasts, the main cellular source of extracellular matrix in the heart, exhibit distinct expression profiles in physiological or pathological remodeling that influence the divergent fibrotic response. To investigate these differences, we obtained the expression profile of cardiac fibroblasts isolated from mice subjected to swim training, pressure-overload induced cardiac remodeling, or myocardial infarction by RNA-sequencing. Although we observed cardiac growth in all conditions, pressure-overload induced hypertrophy and myocardial infarction induced the predicted fibrotic gene expression signature, which was absent in physiological hypertrophy. Utilizing these validated datasets, we identified novel genes and molecular pathways that are differentially expressed in physiological and pathological hypertrophic remodeling and will correlate transcriptional programs with altered gene profiles. Fibroblast gene expression profiles in pathological and physiological are expected to lead to diagnostic or prognostic markers of fibrotic remodeling as well as genes that may serve as novel therapeutic strategies to prevent or reverse cardiac fibrosis.


2018 ◽  
Vol 11 (1) ◽  
Author(s):  
Panagiota Kontou ◽  
Athanasia Pavlopoulou ◽  
Georgia Braliou ◽  
Spyridoula Bogiatzi ◽  
Niki Dimou ◽  
...  

Cytotherapy ◽  
2011 ◽  
Vol 13 (4) ◽  
pp. 407-418 ◽  
Author(s):  
Javier Barallobre-Barreiro ◽  
Óskar Martínez de Ilárduya ◽  
Isabel Moscoso ◽  
Ramón Calviño-Santos ◽  
Guillermo Aldama ◽  
...  

2017 ◽  
Author(s):  
Heeju Noh ◽  
Jason E. Shoemaker ◽  
Rudiyanto Gunawan

ABSTRACTGenome-wide transcriptional profiling provides a global view of cellular state and how this state changes under different treatments (e.g. drugs) or conditions (e.g. healthy and diseased). Here, we present ProTINA (Protein Target Inference by Network Analysis), a network perturbation analysis method for inferring protein targets of compounds from gene transcriptional profiles. ProTINA uses a dynamic model of the cell-type specific protein-gene transcriptional regulation to infer network perturbations from steady state and time-series differential gene expression profiles. A candidate protein target is scored based on the gene network’s dysregulation, including enhancement and attenuation of transcriptional regulatory activity of the protein on its downstream genes, caused by drug treatments. For benchmark datasets from three drug treatment studies, ProTINA was able to provide highly accurate protein target predictions and to reveal the mechanism of action of compounds with high sensitivity and specificity. Further, an application of ProTINA to gene expression profiles of influenza A viral infection led to new insights of the early events in the infection.


2004 ◽  
Vol 171 (4S) ◽  
pp. 349-350
Author(s):  
Gaelle Fromont ◽  
Michel Vidaud ◽  
Alain Latil ◽  
Guy Vallancien ◽  
Pierre Validire ◽  
...  

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