Key result
Circulating hsa_circ_0089762 demonstrated high diagnostic accuracy for ischemic dilated cardiomyopathy with an AUC of 0.92, while hsa_circ_0003258, hsa_circ_0051238, and hsa_circ_0051239 were upregulated in LMNA-related disease.
Why the study?
Diagnosis of DCM is challenging, and novel biomarkers are needed for early identification and personalized management, while peripheral circular RNAs remain mostly unexplored across DCM etiologies.
Are peripheral circRNAs differentially expressed among different etiologies of dilated cardiomyopathy?
Case-Control (n=130)
Yes
Are peripheral circRNAs differentially expressed among different etiologies of dilated cardiomyopathy?
Effect estimate: AUC 0.92 (95% CI 0.77-1)
p-value: p=0.006
Circulating circRNAs show potential as non-invasive biomarkers for differentiating the etiology of dilated cardiomyopathy.
May support circRNA profiling to differentiate dilated cardiomyopathy etiologies; leaves open prospective validation before clinical use.
Background: Dilated cardiomyopathy (DCM) is the third most common cause of heart failure. The multidisciplinary nature of testing, -involving genetics, imaging, or cardiovascular techniques-, makes its diagnosis challenging. Novel and reliable biomarkers are needed for early identification and tailored personalized management. Peripheral circular RNAs (circRNAs), a leading research topic, remain mostly unexplored in DCM. We aimed to assess whether peripheral circRNAs are expressed differentially among etiology-based DCM. The study was based on a case-control multicentric study. Methods: We enrolled 130 subjects: healthy controls (n=20), idiopathic DCM (n=30), ischemic DCM (n=20) and familial DCM patients which included pathogen variants of i) LMNA gene (n=30) and ii) BCL2-associated athanogene 3 (BAG3) gene (n=30). Differentially expressed circRNAs were analyzed in plasma samples by quantitative RT-PCR and correlated to relevant systolic and diastolic parameters. The pathophysiological implications were explored through bioinformatics tools. Results: Four circRNAs were overexpressed compared to controls: hsa_circ_0003258, hsa_circ_0051238, and hsa_circ_0051239 in LMNA-related DCM; and hsa_circ_0089762 in the ischemic DCM cohort. The obtained areas under the curve confirm the discriminative capacity of circRNAs. Conclusions: The circRNAs correlated with some diastolic and systolic echocardiographic parameters with notable diagnostic potential in DCM. Circulating circRNAs may be helpful for the etiology-based diagnosis of DCM as a non-invasive biomarker.
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Costa et al. (2021) conducted a case-control in Dilated cardiomyopathy (n=130). Circulating circRNAs vs. Healthy controls was evaluated on Discriminative capacity of circRNAs for DCM etiology (AUC) (AUC 0.92, 95% CI 0.77-1, p=0.006). Circulating hsa_circ_0089762 demonstrated high diagnostic accuracy for ischemic dilated cardiomyopathy with an AUC of 0.92, while hsa_circ_0003258, hsa_circ_0051238, and hsa_circ_0051239 were upregulated in LMNA-related disease.
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