期刊
INTERNATIONAL JOURNAL OF MEDICAL SCIENCES
卷 19, 期 8, 页码 1340-1356出版社
IVYSPRING INT PUBL
DOI: 10.7150/ijms.76168
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资金
- Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation [TCRD-TPE-109-66, TCRD-TPE-MOST-109-17, TCRD-TPE110-RT-1, TCMF-CM3-111-01]
- Kaohsiung Municipal Min-Sheng Hospital [KMSH-11105]
SARS-CoV-2 infection can lead to immunosuppression and cytokine storm, causing lung damage and death. miRNAs play crucial roles in the immune response and pathogenesis of SARS-CoV-2, potentially participating in the regulation of SARS-CoV-2 infection and replication through various mechanisms. SARS-CoV-2-related miRNAs may serve as biomarkers for predicting patient outcomes, and dietary polyphenolic compounds could protect against SARS-CoV-2 infection by modulating miRNA expression.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection can cause immunosuppression and cytokine storm, leading to lung damage and death. The clinical efficacy of anti-SARS-CoV-2 drugs in preventing viral entry into host cells and suppressing viral replication remains inadequate. MicroRNAs (miRNAs) are crucial to the immune response to and pathogenesis of coronaviruses, such as SARS-CoV-2. However, the specific roles of miRNAs in the life cycle of SARS-CoV-2 remain unclear. miRNAs can participate in SARS-CoV-2 infection and pathogenesis through at least four possible mechanisms: 1. host cell miRNA expression interfering with SARS-CoV-2 cell entry, 2. SARS-CoV-2-derived RNA transcripts acting as competitive endogenous RNAs (ceRNAs) that may attenuate host cell miRNA expression, 3. host cell miRNA expression modulating SARS-CoV-2 replication, and 4. SARS-CoV-2-encoded miRNAs silencing the expression of host protein-coding genes. SARS-CoV-2-related miRNAs may be used as diagnostic or prognostic biomarkers for predicting outcomes among patients with SARS-CoV-2 infection. Furthermore, accumulating evidence suggests that dietary polyphenolic compounds may protect against SARS-CoV-2 infection by modulating host cell miRNA expression. These findings have major implications for the future diagnosis and treatment of COVID-19.
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