Diagnosis of acute myocardial infarction using a combination of circulating circular RNA cZNF292 and clinical information based on machine learning

Abstract

Circulating circular RNAs (circRNAs) are emerging as novel biomarkers for cardiovascular diseases (CVDs). Machine learning can provide optimal predictions on the diagnosis of diseases. Here we performed a proof-of-concept study to determine if combining circRNAs with an artificial intelligence approach works in diagnosing CVD. We used acute myocardial infarction (AMI) as a model setup to prove the claim. We determined the expression level of five hypoxia-induced circRNAs, including cZNF292, cAFF1, cDENND4C, cTHSD1, and cSRSF4, in the whole blood of coronary angiography positive AMI and negative non-AMI patients. Based on feature selection by using lasso with 10-fold cross validation, prediction model by logistic regression, and ROC curve analysis, we found that cZNF292 combined with clinical information (CM), including age, gender, body mass index, heart rate, and diastolic blood pressure, can predict AMI effectively. In a validation cohort, CM + cZNF292 can separate AMI and non-AMI

From multi-omics approaches to personalized medicine in myocardial infarction

“…Furthermore, many ncRNAs have been identified as biomarkers that can be utilized for MI diagnosis. These include miRNAs such as miRNA-1-3p ( 126 , 127 ), miRNA-208a-3p ( 127 , 128 ), miRNA-499a-5p ( 127 ), miRNA-486-5p ( 129 ), miRNA-21-5p ( 129 , 130 ), as well as lncRNAs such as N1LR ( 131 ), SNHG1 ( 131 ), HIF1A-AS2 ( 132 ), TTTY15 ( 133 ), HULC ( 133 ), and circRNAs like cZNF292 ( 134 ), circTMEM165 ( 135 ), circUBAC2 ( 135 ), circZNF609 ( 135 ), circANKRD12 ( 135 ), circSLC8A1 ( 135 ), and among others. Additionally, ncRNAs are also employed to assess patients' prognosis, assist in determining treatment strategies, and predict disease progression.…”

Circular RNAs in breast cancer diagnosis, treatment and prognosis

“…Circular RNAs (circRNAs), a novel type of ncRNA, are synthesized via the back splicing of protein-coding genes. CircRNAs are involved in multiple biological processes and diseases [ 7 ]. CircRNAs are highly stable due to their covalently closed circular structures, which protects them from degradation by exonucleases and makes them promising candidate biomarkers for cancer diagnosis or prognosis evaluation [ 8 ].…”