Tag: biomarker

Integrative Mechanisms of Osteoprotegerin in Cardiovascular Pathophysiology

Announcing a new article publication for Cardiovascular Innovations and Applications journal.  Osteoprotegerin (OPG), a glycoprotein in the tumor necrosis factor superfamily, regulates bone metabolism by suppressing the formation and activation of osteoclasts. Nonetheless, increasing evidence underscores its physiological importance, particularly in cardiovascular diseases (CVDs). Elevated OPG levels are associated with atherosclerosis, arterial calcification, and heart failure, thus indicating their involvement in cardiac remodeling and vascular pathology. OPG regulates calcification and vascular homeostasis by restricting the transdifferentiation of vascular smooth muscle cells into osteogenic phenotypes.

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Circulating TGM2 Levels as a Prognostic Biomarker for Coronary Artery Disease Severity and Major Adverse Cardiac Events in Acute Coronary Syndrome

Announcing a new article publication for Cardiovascular Innovations and Applications journal. Transglutaminase 2 (TGM2) has been implicated in various health conditions, yet its role in acute coronary syndrome (ACS) remains poorly characterized in clinical settings. This study investigated the association between circulating TGM2 levels and the severity of coronary stenosis in ACS.

A total of 242 individuals with ACS were included in this study. Clinical data were collected, and the severity of coronary stenosis was evaluated with the Gensini and Syntax scoring systems. Kaplan-Meier analysis, logistic regression, and receiver operating characteristic (ROC) curve analysis were performed.

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Association Between Serum Uric Acid Levels and Atrial Fibrillation Burden

Announcing a new article publication for Cardiovascular Innovations and Applications journal. This study investigated the association between serum uric acid (UA) levels and atrial fibrillation (AF) burden in Chinese patients with AF.

In this cross-sectional study, AF burden was defined as the proportion of AF duration to total monitoring time, recorded by a patch device over ≥24 hours. Serum UA levels were measured at the start of monitoring. Multivariate logistic regression was used to assess associations.

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Identifying Key Genes and Related Molecules as Potential Biomarkers in Human Dilated Cardiomyopathy by Comprehensive Bioinformatics Analysis

Announcing a new article publication for Cardiovascular Innovations and Applications journal. Dilated cardiomyopathy (DCM) is a non-ischemic heart disease that poses a substantial global health burden, but its underlying molecular mechanisms remain poorly understood.

Weighted gene co-expression network analysis, differential expression analysis of genes, enriched analysis and LASSO model construction were performed in R software. miRWalk 2.0 and StarBase v2.0 were used to predict the target miRNAs and circRNAs of hub genes, respectively.

Four hub genes (COL3A1, COL1A2, LUM and THBS4) were identified, which were significantly enriched in fibrosis pathways, including extracellular matrix, biological process, and the TGF beta signaling and focal adhesion pathways. The LASSO model accurately predicted the occurrence of DCM. Additionally, three miRNAs (hsa-let-7b-5p, hsa-let-7c-5p and hsa-miR-29b-3p) and 30 circRNAs (including GIT2_hsa_circRNA10114, ANKRD52_hsa_circRNA9983 and JARID2_hsa_circRNA6618) were found to be associated with DCM.

Bioinformatics analysis identified hub genes and related molecules that may be highly associated with DCM. These findings provide insights into potential targets for improving diagnosis and pharmacological therapies to prevent DCM progression.

https://www.scienceopen.com/hosted-document?doi=10.15212/CVIA.2023.0018

CVIA is available on the ScienceOpen platform and at Cardiovascular Innovations and Applications. Submissions may be made using ScholarOne Manuscripts. There are no author submission or article processing fees. Cardiovascular Innovations and Applications is indexed in the EMBASE, EBSCO, ESCI, OCLC, Primo Central (Ex Libris), Sherpa Romeo, NISC (National Information Services Corporation), DOAJ, Index Copernicus, Research4Life and Ulrich’s web Databases. Follow CVIA on Twitter @CVIA_Journal; or Facebook.

Yingrui Li, Jianlin Du and Bin Liu et al. Identifying Key Genes and Related Molecules as Potential Biomarkers in Human Dilated Cardiomyopathy by Comprehensive Bioinformatics Analysis. CVIA. 2023. Vol. 8(1). DOI: 10.15212/CVIA.2023.0018

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