The miRNA: a small but powerful RNA for COVID-19

Zhang, Song; Amahong, Kuerbannisha; Sun, Xiuna; Lian, Xichen; Liu, Jin; Sun, Huaicheng; Lou, Yan; Zhu, Feng; Qiu, Yunqing

doi:10.1093/bib/bbab062

Cited by 131 publications

(100 citation statements)

References 172 publications

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“…MicroRNAs (miRNAs) are small non-coding RNAs that primarily act in post-transcriptional processes and bind hundreds of sites in the transcriptome through targeting the 3′ untranslational regions (3′UTR), 5′UTR, and coding regions of specific mRNAs or embedding within a particular gene [ 1 , 2 ]. These RNA molecules have been implicated in a variety of pathological disorders including cancers, different organ dysfunctions, and infectious diseases [ 3 , 4 , 5 , 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

Viral MicroRNAs Encoded by Nucleocapsid Gene of SARS-CoV-2 Are Detected during Infection, and Targeting Metabolic Pathways in Host Cells

Meng

Siu

Mok

et al. 2021

Cells

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MicroRNAs (miRNAs) are critical regulators of gene expression that may be used to identify the pathological pathways influenced by disease and cellular interactions. Viral miRNAs (v-miRNAs) encoded by both DNA and RNA viruses induce immune dysregulation, virus production, and disease pathogenesis. Given the absence of effective treatment and the prevalence of highly infective SARS-CoV-2 strains, improved understanding of viral-associated miRNAs could provide novel mechanistic insights into the pathogenesis of COVID-19. In this study, SARS-CoV-2 v-miRNAs were identified by deep sequencing in infected Calu-3 and Vero E6 cell lines. Among the ~0.1% small RNA sequences mapped to the SARS-CoV-2 genome, the top ten SARS-CoV-2 v-miRNAs (including three encoded by the N gene; v-miRNA-N) were selected. After initial screening of conserved v-miRNA-N-28612, which was identified in both SARS-CoV and SARS-CoV-2, its expression was shown to be positively associated with viral load in COVID-19 patients. Further in silico analysis and synthetic-mimic transfection of validated SARS-CoV-2 v-miRNAs revealed novel functional targets and associations with mechanisms of cellular metabolism and biosynthesis. Our findings support the development of v-miRNA-based biomarkers and therapeutic strategies based on improved understanding of the pathophysiology of COVID-19.

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Section: Introductionmentioning

confidence: 99%

Viral MicroRNAs Encoded by Nucleocapsid Gene of SARS-CoV-2 Are Detected during Infection, and Targeting Metabolic Pathways in Host Cells

Meng

Siu

Mok

et al. 2021

Cells

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“…The hsa-miR-17-5p was identified as another significant miRNA in our research. TNF expression in leukaemia cells is inhibited by hsa-miR-17, which binds to TNF's 3′-UTR [ 63 , 64 ]. During the IV infection, has-miR-17-3p was found in human alveolar basal epithelial cells (HBEpC) [ 64 ].…”

Section: Discussionmentioning

confidence: 99%

“…During the IV infection, has-miR-17-3p was found in human alveolar basal epithelial cells (HBEpC) [ 64 ]. has-miR-98-5p was discovered as a promising candidate, and it was mechanistically validated as a regulator of TMPRSS2 transcription in two human endothelial cell types derived from the lung and the umbilical vein [ 63 , 64 ]. IL6 stimulates inflammatory reactions in mucosa during COVID infection [ 65 ].…”

Section: Discussionmentioning

confidence: 99%

Multilevel systems biology analysis of lung transcriptomics data identifies key miRNAs and potential miRNA target genes for SARS-CoV-2 infection

Banaganapalli

Alrayes²,

Awan

et al. 2021

Computers in Biology and Medicine

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Background The spread of a novel severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) has affected both the public health and the global economy. The current study was aimed at analysing the genetic sequence of this highly contagious corona virus from an evolutionary perspective, comparing the genetic variation features of different geographic strains, and identifying the key miRNAs as well as their gene targets from the transcriptome data of viral infected lung tissues. Methods A multilevel robust computational analysis was undertaken for viral genetic sequence alignment, phylogram construction, genome-wide transcriptome data interpretation of virus-infected lung tissues, miRNA mapping, and functional biology networking. Results Our findings show both genetic similarities as well as notable differences in the S protein length among SARS-CoV-1, SARS-CoV-2 and MERS viruses. All SARS-CoV-2 strains showed a high genetic similarity with the parent Wuhan strain, but Saudi Arabian, South African, USA, Russia and New Zealand strains carry 3 additional genetic variations like P333L (RNA -dependant RNA polymerase), D614G (spike), and P4715L (ORF1ab). The infected lung tissues demonstrated the upregulation of 282 (56.51%) antiviral defensive response pathway genes and downregulation of 217 (43.48%) genes involved in autophagy and lung repair pathways. By miRNA mapping, 4 key miRNAs ( hsa-miR-342-5p, hsa-miR-432-5p, hsa-miR-98-5p and hsa-miR-17-5p ), targeting multiple host genes ( MYC, IL6, ICAM1 and VEGFA ) as well as SARS-CoV2 gene ( ORF1ab ) were identified. Conclusion Systems biology methods offer a new perspective in understanding the molecular reasons underlying the faster spread of SARS-CoV-2 infection. The antiviral miRNAs identified in this study may aid in the ongoing search for novel personalized therapeutic avenues for COVID patients.

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“…It is important to know the profile of miRNAs in COVID-19 because it can be useful in diagnosis and prognosis. In addition, new molecular drugs can be designed by miRNA profile [ 22 ].…”

Section: Introductionmentioning

confidence: 99%

The relative expression of miR-31, miR-29, miR-126, and miR-17 and their mRNA targets in the serum of COVID-19 patients with different grades during hospitalization

2021

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Background The aim of this study was to evaluate the expression of four up/down-regulated inflammatory miRNAs and their mRNA targets in the serum samples of COVID-19 patients with different grades. Also, we investigated the relative expression of these miRNAs and mRNAs during hospitalization. Methods In this cross-sectional study, 5 mL of blood sample were taken from COVID-19 patients with different grades and during hospitalization from several health centers of Yazd, Tehran, and Zahedan province of Iran from December 20, 2020 to March 2, 2021. The relative expression of miRNAs and mRNAs was evaluated by q-PCR. Results We found that the relative expression of hsa-miR-31-3p, hsa-miR-29a-3p, and hsa-miR-126-3p was significantly decreased and the relative expression of their mRNA targets (ZMYM5, COL5A3, and CAMSAP1) was significantly increased with the increase of disease grade. Conversely, the relative expression of hsa-miR-17-3p was significantly increased and its mRNA target (DICER1) was significantly decreased with the increase of disease grade. This pattern was exactly seen during hospitalization of COVID-19 patients who did not respond to treatment. In COVID-19 patients who responded to treatment, the expression of selected miRNAs and their mRNA targets returned to the normal level. A negative significant correlation was seen between (1) the expression of hsa-miR-31-3p and ZMYM5, (2) hsa-miR-29a-3p and COL5A3, (3) hsa-miR-126-3p and CAMSAP1, and (4) hsa-miR-17-3p and DICER1 in COVID-19 patients with any grade (P < 0.05) and during hospitalization. Conclusions In this study, we gained a more accurate understanding of the expression of up/down-regulated inflammatory miRNAs in the blood of COVID-19 patients. The obtained data may help us in the diagnosis and prognosis of COVID-19. Trial registration: The ethics committee of Zahedan University of Medical Sciences, Zahedan, Iran. (Ethical Code: IR.ZAUMS.REC.1399.316) was registered for this project.

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The miRNA: a small but powerful RNA for COVID-19

Cited by 131 publications

References 172 publications

Viral MicroRNAs Encoded by Nucleocapsid Gene of SARS-CoV-2 Are Detected during Infection, and Targeting Metabolic Pathways in Host Cells

Viral MicroRNAs Encoded by Nucleocapsid Gene of SARS-CoV-2 Are Detected during Infection, and Targeting Metabolic Pathways in Host Cells

Multilevel systems biology analysis of lung transcriptomics data identifies key miRNAs and potential miRNA target genes for SARS-CoV-2 infection

The relative expression of miR-31, miR-29, miR-126, and miR-17 and their mRNA targets in the serum of COVID-19 patients with different grades during hospitalization

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