Deciphering the Regulatory Landscape of mRNA-miRNA-lncRNA Interactions in COVID-19 Severity: Insights from Transcriptomic Analysis

Key Points

The analysis highlights noncoding RNAs, especially lncRNAs, as key regulators of COVID-19 severity.
Specific lncRNAs NEAT1 and MALAT1 modulate cytokine signaling through interactions with miRNAs and mRNAs.
Utilizing transcriptomic data, this study identifies potential biomarkers for COVID-19 diagnosis and prognosis.
The findings suggest that targeting these noncoding RNAs could lead to innovative therapeutic approaches for COVID-19.

Abstract

Our findings are consistent with recent patents (e.g., "US20220298584A1", "EP3892280A3", "WO2023147669A1") that propose the use of noncoding RNAs and cytokines as biomarkers for COVID-19 diagnosis and severity assessment. This integrative transcriptomic analysis highlights the regulatory role of noncoding RNAs in COVID-19 progression, exemplified by the central hub lncRNAs NEAT1 and MALAT1, which interact with inflammation- associated miRNAs and mRNA targets to modulate cytokine signaling. These findings offer specific transcriptomic biomarkers with potential for clinical application and therapeutic targeting.

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Cite This Study

Sabetian et al. (Tue,) studied this question.

synapsesocial.com/papers/69a75b88c6e9836116a22fc3 https://doi.org/https://doi.org/10.2174/0118722083418291251127062436

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