Altered microRNA expression in COVID-19 patients enables identification of SARS-CoV-2 infection

Recently, we have experienced a serious pandemic. Despite significant technological advances in molecular technologies, it is very challenging to slow down the infection spread. It appeared that due to globalization, SARS-CoV-2 spread easily and adapted to new environments or geographical or weather zones. Additionally, new variants are emerging that show different infection potential and clinical outcomes. On the other hand, we have some experience with other pandemics and some solutions in virus elimination that could be adapted. This is of high importance since, as the latest reports demonstrate, vaccine technology might not follow the new, mutated virus outbreaks. Thus, identification of novel strategies and markers or diagnostic methods is highly necessary. For this reason, we present some of the latest views on SARS-CoV-2/COVID-19 therapeutic strategies and raise a solution based on miRNA. We believe that in the face of the rapidly increasing global situation and based on analogical studies of other viruses, the possibility of using the biological potential of miRNA technology is very promising. It could be used as a promising diagnostic and prognostic factor, as well as a therapeutic target and tool.

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“…MiR-31-5p showed the highest overexpression. MiR-423-5p, miR-23a-3p, and miR-195-5p also showed altered expression [240] (Figure 6).…”

Section: Downregulated Mirnasmentioning

confidence: 99%

“…The team of Farr et al [240] profiled circulating miRNAs in ten COVID-19 patients. They observed 55 miRNAs whose expression was changed at the early stage of the disease.…”

Section: Downregulated Mirnasmentioning

confidence: 99%

Anti-SARS-CoV-2 Strategies and the Potential Role of miRNA in the Assessment of COVID-19 Morbidity, Recurrence, and Therapy

Narożna

Rubiś

2021

IJMS

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“…2c. Upon comparing miRNAs differentially expressed in COVID-19 patients in nasal swabs and plasma [1], two miRNAs (miR-142-3p and miR-3065-3p) were DE in both datasets (Fig. 3a), while miRNAs DE in nasal swabs for the most part showed agreement in terms of upregulation or downregulation without being statistically signi cant in plasma (Fig.…”

Section: Main Textmentioning

confidence: 99%

“…Host responses to SARS-CoV-2 infection are currently being examined as biomarkers for both improved detection of pre-or asymptomatic COVID-19 cases [1] and the prognosis of COVID-19 severity [2][3][4]. In contrast to viral RNA molecules, host biomarkers such as microRNAs (miRNAs) are relatively abundant in the patient during the early pre-symptomatic period.…”

Section: Main Textmentioning

confidence: 99%

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Detection of SARS-CoV-2 infection by microRNA profiling of the upper respiratory tract

Farr

Rootes

Stenos

et al. 2021

Preprint

Self Cite

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Host biomarkers are increasingly being considered as tools for improved COVID-19 detection and prognosis. We recently profiled circulating host-encoded microRNA (miRNAs) during SARS-CoV-2 infection, revealing a signature that classified COVID-19 cases with 99.9% accuracy. Here we sought to develop a signature suited for clinical application by analyzing specimens collected using minimally invasive procedures. Eight miRNAs displayed altered expression in anterior nasal tissues from COVID-19 patients, with miR-142-3p, a negative regulator of interleukin-6 (IL-6) production, the most strongly upregulated. Supervised machine learning analysis revealed that a three-miRNA signature (miR-30c-2-3p, miR-628-3p and miR-93-5p) independently classifies COVID-19 cases with 100 % accuracy. This study further defines the host miRNA response to SARS-CoV-2 infection and identifies candidate biomarkers for improved COVID-19 detection.

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Upregulation of hsa_circ_0004812 promotes COVID‐19 cytokine storm via hsa‐miR‐1287‐5p/IL6R, RIG‐I axis

Mohammadisoleimani

Firoozi

Naghizadeh

et al. 2022

Clinical Laboratory Analysis

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Background SARS‐CoV‐2 is one of the most contagious viruses in the Coronaviridae (CoV) family, which has become a pandemic. The aim of this study is to understand more about the role of hsa_circ_0004812 in the SARS‐CoV‐2 related cytokine storm and its associated molecular mechanisms. Materials and Methods cDNA synthesis was performed after total RNA was extracted from the peripheral blood mononuclear cells (PBMC) of 46 patients with symptomatic COVID‐19, 46 patients with asymptomatic COVID‐19, and 46 healthy controls. The expression levels of hsa_circ_0004812, hsa‐miR‐1287‐5p, IL6R, and RIG‐I were determined using qRT‐PCR, and the potential interaction between these molecules was confirmed by bioinformatics tools and correlation analysis. Results hsa_circ_0004812, IL6R, and RIG‐I are expressed higher in the severe symptom group compared with the negative control group. Also, the relative expression of these genes in the asymptomatic group is lower than in the severe symptom group. The expression level of hsa‐miR‐1287‐5p was positively correlated with symptoms in patients. The results of the bioinformatics analysis predicted the sponging effect of hsa_circ_0004812 as a competing endogenous RNA on hsa‐miR‐1287‐5p. Moreover, there was a significant positive correlation between hsa_circ_0004812, RIG‐I, and IL‐6R expressions, and also a negative expression correlation between hsa_circ_0004812 and hsa‐miR‐1287‐5p and between hsa‐miR‐1287‐5p, RIG‐I, and IL‐6R. Conclusion The results of this in‐vitro and in silico study show that hsa_circ_0004812/hsa‐miR‐1287‐5p/IL6R, RIG‐I can play an important role in the outcome of COVID‐19.

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Altered microRNA expression in COVID-19 patients enables identification of SARS-CoV-2 infection

Cited by 54 publications

References 41 publications

Anti-SARS-CoV-2 Strategies and the Potential Role of miRNA in the Assessment of COVID-19 Morbidity, Recurrence, and Therapy

Anti-SARS-CoV-2 Strategies and the Potential Role of miRNA in the Assessment of COVID-19 Morbidity, Recurrence, and Therapy

Detection of SARS-CoV-2 infection by microRNA profiling of the upper respiratory tract

Upregulation of hsa_circ_0004812 promotes COVID‐19 cytokine storm via hsa‐miR‐1287‐5p/IL6R, RIG‐I axis

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