Evaluation of the Expression of Infection-Related Long Noncoding RNAs among COVID-19 Patients: A Case-Control Study
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View abstract on PubMed
Summary
This summary is machine-generated.This study investigated long noncoding RNAs (lncRNAs) in COVID-19 patients. Three lncRNAs (ISR, ATV, HEAL) were significantly elevated in patients, with lnc ATV showing potential as a biomarker for SARS-CoV-2 infection.
Area Of Science
- Immunology
- Molecular Biology
- Genetics
Background
- Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) triggers immune responses involving cytokines and chemokines.
- Long noncoding RNAs (lncRNAs) are implicated in inflammatory pathways, but their specific roles in SARS-CoV-2 infection require further elucidation.
- Previous research has focused on a limited number of lncRNAs in viral infections, leaving a gap in understanding their function in COVID-19.
Purpose Of The Study
- To investigate the expression patterns of specific lncRNAs in peripheral blood mononuclear cells (PBMCs) of individuals with SARS-CoV-2 infection.
- To explore the potential of these lncRNAs as biomarkers for differentiating COVID-19 patients from healthy individuals.
- To identify potential competing endogenous RNA (ceRNA) networks involving lncRNAs in the context of SARS-CoV-2.
Main Methods
- Blood samples were collected from 53 COVID-19 patients and 45 healthy controls.
- Peripheral blood mononuclear cells (PBMCs) were isolated for RNA extraction and complementary DNA (cDNA) synthesis.
- Real-time PCR was used to assess the expression levels of five lncRNAs (lnc ISR, lnc ATV, lnc PAAN, lnc SG20, and lnc HEAL).
- Receiver operating characteristic (ROC) curve analysis was performed to evaluate biomarker potential.
Main Results
- Three lncRNAs, namely lnc ISR, lnc ATV, and lnc HEAL, exhibited significantly higher expression in COVID-19 patients compared to healthy controls.
- ROC curve analysis indicated that lnc ATV possesses a high area under the curve (AUC), suggesting its utility as a biomarker for distinguishing COVID-19 cases.
- Bioinformatic analysis identified ceRNA networks involving these lncRNAs, highlighting mRNAs and miRNAs crucial for COVID-19 pathogenesis.
Conclusions
- Elevated expression of ISR, ATV, and HEAL lncRNAs, along with significant AUC values, suggests their potential role in modulating host innate immune responses against SARS-CoV-2.
- These lncRNAs may contribute to the regulation of viral replication in SARS-CoV-2 infection.
- Further in vitro and in vivo studies are warranted to confirm the precise roles and mechanisms of these lncRNAs in COVID-19.
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