Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure

Maciejak, Agata; Kiliszek, Marek; Michalak, Marcin; Tulacz, Dorota; Opolski, Grzegorz; Matlak, K.; Dobrzycki, Sławomir; Segiet, Agnieszka; Góra, Monika; Burzyńska, Beata

doi:10.1186/s13073-015-0149-z

Cited by 102 publications

(111 citation statements)

References 49 publications

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“…Interestingly enough, RNase1 together with other proteins, such as Jun dimerization protein-2 or tissue inhibitor of metalloproteinases-1, was found to serve as a prognostic biomarker associated with the progression of heart failure in patients with ST-segment-elevation myocardial infarction. 99 …”

Section: Ernases As Natural Counterparts Of Extracellular Nucleic Acidsmentioning

confidence: 99%

Extracellular Ribonucleic Acids (RNA) Enter the Stage in Cardiovascular Disease

Zernecke

Preissner

2016

Circ Res

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Inflammatory and ischemic cardiovascular diseases, especially atherosclerosis and myocardial infarction, remain the number one cause of death in the Western world, whereas the therapeutic options currently available are still limited. Several recent findings have indicated that nucleic acids, particularly extracellular ribosomal RNA and micro-RNAs, significantly contribute to the adverse outcome of atherosclerosis, myocardial infarction, and other cardiovascular diseases. Extracellular RNAs act as novel danger-associated molecular pattern signals and potent cofactors in cardiovascular inflammation and thrombosis, particularly when accumulating in the extracellular space under tissue-damaging or pathological conditions. In this concise review article, the different entities of extracellular RNAs, their cellular sources, and their putative functional contribution to the pathogenesis of cardiovascular diseases will be discussed. In fact, it remains a tightrope walk for these polyanionic molecules outside cells to promote defense reactions on the one side but to provoke cardiovascular disease development on the other side, dependent on their concentration, the environmental conditions, and the cellular stimuli engaged. Thus, we will discuss the mechanisms and cellular responses by which extracellular RNAs operate between defense and disease. Finally, natural counteracting molecules, such as RNase1, will be focused on to elaborate their protective functions in the context of inflammatory and ischemic cardiovascular diseases with the possibility to apply them as novel interventional strategies.

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Section: Ernases As Natural Counterparts Of Extracellular Nucleic Acidsmentioning

confidence: 99%

Extracellular Ribonucleic Acids (RNA) Enter the Stage in Cardiovascular Disease

Zernecke

Preissner

2016

Circ Res

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“…Aquaporin 9 is a gap junction network gene that is vital to heart function. It is reported that AQP9 is also related to acute MI [36]. Kuiper et al [37] found that TFEB was expressed in the myocardium of the adult.…”

Section: Discussionmentioning

confidence: 99%

Bioinformatic screening for key miRNAs and genes associated with myocardial infarction

Zhao

et al. 2018

FEBS Open Bio

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Despite significant advances in understanding of the causes of and treatment of myocardial infarction (MI) in recent years, morbidity and mortality is still high. The aim of this study was to identify mi RNA and genes potentially associated with MI. mRNA and mi RNA expression datasets were downloaded from the Gene Expression Omnibus database ( http://www.ncbi.nlm.nih.gov/geo/ ). Interactions between mi RNA and the expression and function of target genes were analyzed, and a protein–protein interaction network was constructed. The diagnostic value of identified mi RNA and genes was assessed. Quantitative RT‐PCR was applied to validate the results of the bioinformatics analysis. MiR‐27a, miR‐31*, miR‐1291, miR‐139‐5p, miR‐204, miR‐375, and target genes including CX 3 CR 1 , HSPA 6, and TPM 3 had potential diagnostic value. The genes TFEB , IRS 2 , GRB 2 , FASLG , LIMS 1 , CX 3 CR 1 , HSPA 6 , TPM 3 , LAT 2 , CEBPD , AQP 9, and MAPKAPK 2 were associated with recovery from MI. In conclusion, the identified mi RNA and genes might be associated with the pathology of MI.

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“…The data set, GSE62646, includes 14 PBMCs samples from stable CAD patients as control and 28 PBMCs samples from STEMI patients . The data set, GSE59867, includes 46 PBMCs samples from stable CAD patients as control and 11 PBMCs samples from STEMI patients …”

Section: Methodsmentioning

confidence: 99%

NCF2, MYO1F, S1PR4, and FCN1 as potential noninvasive diagnostic biomarkers in patients with obstructive coronary artery: A weighted gene co‐expression network analysis

Liu

Yang

et al. 2019

J of Cellular Biochemistry

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This study aims to explore the predictive noninvasive biomarker for obstructive coronary artery disease (CAD). By using the data set GSE90074, weighted gene co‐expression network analysis (WGCNA), and protein–protein interactive network, construction of differentially expressed genes in peripheral blood mononuclear cells was conducted to identify the most significant gene clusters associated with obstructive CAD. Univariate and multivariate stepwise logistic regression analyses and receiver operating characteristic analysis were used to predicate the diagnostic accuracy of biomarker candidates in the detection of obstructive CAD. Furthermore, functional prediction of candidate gene biomarkers was further confirmed in ST‐segment elevation myocardial infarction (STEMI) patients or stable CAD patients by using the datasets of GSE62646 and GSE59867. We found that the blue module discriminated by WGCNA contained 13 hub‐genes that could be independent risk factors for obstructive CAD (P < .05). Among these 13 hub‐genes, a four‐gene signature including neutrophil cytosol factor 2 (NCF2, P = .025), myosin‐If (MYO1F, P = .001), sphingosine‐1‐phosphate receptor 4 (S1PR4, P = .015), and ficolin‐1 (FCN1, P = .012) alone or combined with two risk factors (male sex and hyperlipidemia) may represent potential diagnostic biomarkers in obstructive CAD. Furthermore, the messenger RNA levels of NCF2, MYO1F, S1PR4, and FCN1 were higher in STEMI patients than that in stable CAD patients, although S1PR4 showed no statistical difference (P > .05). This four‐gene signature could also act as a prognostic biomarker to discriminate STEMI patients from stable CAD patients. These findings suggest a four‐gene signature (NCF2, MYO1F, S1PR4, and FCN1) alone or combined with two risk factors (male sex and hyperlipidemia) as a promising prognostic biomarker in the diagnosis of STEMI. Well‐designed cohort studies should be implemented to warrant the diagnostic value of these genes in clinical purpose.

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Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure

Cited by 102 publications

References 49 publications

Extracellular Ribonucleic Acids (RNA) Enter the Stage in Cardiovascular Disease

Extracellular Ribonucleic Acids (RNA) Enter the Stage in Cardiovascular Disease

Bioinformatic screening for key miRNAs and genes associated with myocardial infarction

NCF2, MYO1F, S1PR4, and FCN1 as potential noninvasive diagnostic biomarkers in patients with obstructive coronary artery: A weighted gene co‐expression network analysis

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