B-type natriuretic peptide in outpatients after myocardial infarction: Optimized cut-off value for incident heart failure prediction

Radovanović, Mina; Vasiljević, Zorana; Radovanović, Nebojša; Marinković, Jelena; Beleslin, Branko; Mitrovic, P.; Stankovic, S.; Stanković, Goran

doi:10.1016/j.peptides.2010.06.023

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…There are some potential biomarkers associated with the development of post‐infarct HF. For instance, elevated B‐type natriuretic peptide or N‐terminal pro‐brain natriuretic peptide is linked to the occurrence of HF in patients with myocardial infarction . Other biomarkers such as troponin I or C‐reactive protein (CRP) have been reported to provide additional information in the detection of post‐infarct HF .…”

Section: Introductionmentioning

confidence: 99%

“…For instance, elevated B-type natriuretic peptide or Nterminal pro-brain natriuretic peptide is linked to the occurrence of HF in patients with myocardial infarction. 8,9 Other biomarkers such as troponin I or C-reactive protein (CRP) have been reported to provide additional information in the detection of post-infarct HF. 10 Nevertheless, these biomarkers are elevated also in conditions such as renal failure, primary aldosteronism, and thyroid disease.…”

Section: Introductionmentioning

confidence: 99%

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Identification of potentially critical genes in the development of heart failure after ST‐segment elevation myocardial infarction (STEMI)

Cheng

Chang

et al. 2018

J of Cellular Biochemistry

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Heart failure (HF) remains a common complication after acute ST‐segment elevation myocardial infarction (STEMI). Here, we aim to identify critical genes related to the developed HF in patients with STEMI using bioinformatics analysis. The microarray data of GSE59867, including peripheral blood samples from nine patients with post‐infarct HF and eight patients without post‐infarct HF, were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) between HF and non‐HF groups were screened by LIMMA package. Functional enrichment analyses of DEGs were conducted, followed by construction of a protein‐protein interaction (PPI) network. The dynamic messenger RNA (mRNA) level of the hub genes during the follow‐up was analyzed to further elucidate their role in HF development. A total of 58 upregulated and 75 downregulated DEGs were screen out. They were mainly enriched in biological processes about inflammatory response, extracellular matrix organization, response to cAMP, immune response, and positive regulation of cytosolic calcium ion concentration. Pathway analysis revealed that the DEGs were also involved in hematopoietic cell lineage, pathways in cancer, and extracellular matrix‐receptor interaction. In the PPI network consisting of 58 nodes and 72 interactions, CXCL8 (degree = 15), THBS1 (degree = 8), FOS (degree = 7), and ITGA2B (degree = 6) were identified as the hub genes. In the comparison of patients with and without post‐infarct HF, the mRNA level of these hub genes were all higher within 30 days but reached similar at 6 months after STEMI. In conclusion, CXCL8, THBS1, FOS, and ITGA2B may play important roles in the development of HF after acute STEMI.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Identification of potentially critical genes in the development of heart failure after ST‐segment elevation myocardial infarction (STEMI)

Cheng

Chang

et al. 2018

J of Cellular Biochemistry

View full text Add to dashboard Cite

show abstract

“…Previous studies have shown that conventional biomarkers B-type natriuretic peptide or N-terminal probrain natriuretic peptide, as well as troponin I and C-reactive protein can aid in the detection of the development of IHF after AMI. But these biomarkers are also elevated in other diseases, such as renal impairment or thyroid disease, which means they are less specific [ [6] , [7] , [8] ]. In addition, these biomarkers cannot reflect the pathological mechanism of IHF after AMI, and cannot provide a reference for the screening of therapeutic targets.…”

Section: Introductionmentioning

confidence: 99%

Combining WGCNA and machine learning to identify mechanisms and biomarkers of ischemic heart failure development after acute myocardial infarction

Li,

Hu,

Jiang

et al. 2024

Heliyon

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Impact of glomerular filtration rate on urinary BNP and NT-proBNP levels in heart failure

et al. 2012

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B-type natriuretic peptide in outpatients after myocardial infarction: Optimized cut-off value for incident heart failure prediction

Cited by 3 publications

References 16 publications

Identification of potentially critical genes in the development of heart failure after ST‐segment elevation myocardial infarction (STEMI)

Identification of potentially critical genes in the development of heart failure after ST‐segment elevation myocardial infarction (STEMI)

Combining WGCNA and machine learning to identify mechanisms and biomarkers of ischemic heart failure development after acute myocardial infarction

Impact of glomerular filtration rate on urinary BNP and NT-proBNP levels in heart failure

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