2022
DOI: 10.1007/s40291-022-00622-1
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Introducing Circulating Vasculature-Related Transcripts as Biomarkers in Coronary Artery Disease

Abstract: Background Atherosclerotic plaque is considered the hallmark of atherosclerotic lesions in coronary atherosclerosis (CAS), the primary pathogenesis in coronary artery disease (CAD), which develops and progresses through a complex interplay between immune cells, vascular cells, and endothelial shear stresses. Early diagnosis of CAS is critical for avoiding plaque rupture and sudden death. Therefore, identifying new CAD biomarkers linked to vessel wall functions, such as RNA molecules with their distinct signatu… Show more

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“…They belong to a class of short noncoding RNAs that are small yet closely intertwined with many biological and pathological processes (Han Li and Chen, 2015). In recent studies, miRNAs are identified as essential and potential biomarkers for various diseases such as cancers, cardiovascular diseases, and viral infection (Abdallah et al, 2023;Aquino et al, 2023;Ullah et al, 2023). The diagnosis of these diseases typically requires detection for multiple miRNAs as single miRNA levels are usually more variable, thus combinations possess higher accuracy and are more predictive in diagnostics as compared to single miRNA levels (Zhou et al, 2015;Chen et al, 2021).…”
mentioning
confidence: 99%
“…They belong to a class of short noncoding RNAs that are small yet closely intertwined with many biological and pathological processes (Han Li and Chen, 2015). In recent studies, miRNAs are identified as essential and potential biomarkers for various diseases such as cancers, cardiovascular diseases, and viral infection (Abdallah et al, 2023;Aquino et al, 2023;Ullah et al, 2023). The diagnosis of these diseases typically requires detection for multiple miRNAs as single miRNA levels are usually more variable, thus combinations possess higher accuracy and are more predictive in diagnostics as compared to single miRNA levels (Zhou et al, 2015;Chen et al, 2021).…”
mentioning
confidence: 99%