Upregulation of distinct miRNAs in SARS-CoV-2 infected individuals: A differential signature of circulating miRNAs
Santos de Santana Silva, I. T.; Rocha Gadelha, S.; Ferraz Fehlberg, H.; Barbosa Ferreira, F.; de Melo Silva, M.; Rezende, R. P.; Albuquerque, G. R.; Melo Mariano, A. P.; Teixeira Dias, J. C.; Barbosa Costa, G.; Martins Kaneto, C.
Show abstract
COVID-19 exhibits a broad clinical spectrum, from asymptomatic to severe cases, underscoring the need for molecular biomarkers to support surveillance and early intervention. Here, we profiled circulating microRNAs (miRNAs) in plasma samples from individuals with asymptomatic/mild COVID-19 and uninfected controls. Seven miRNAs were significantly upregulated in infected patients (miR-126, miR-146b-5p, miR-223-5p, miR-144-3p, miR-22, miR-146a, and miR-30c). ROC curve analysis revealed heterogeneous diagnostic performance: miR-30c achieved the highest overall discriminatory accuracy (AUC = 0.771) with maximum sensitivity (100.0%), while miR-126 provided the highest specificity (100.0%, AUC = 0.763). Other miRNAs, including miR-146b-5p, miR-223-5p, miR-146a, miR-144-3p, and miR-22, showed intermediate accuracy (AUCs 0.684-0.719), whereas miR-21-5p and miR-155 displayed limited discriminatory power (AUCs 0.606 and 0.517, respectively). Predictive interaction network analysis indicated that the upregulated miRNAs target key immune-related genes (CXCL12, IRAK1, TRAF6, STAT1, JAK1, NOTCH1, SMAD4, and BCL2L11), and functional enrichment revealed convergence with transcriptomic profiles from SARS-CoV-2-infected Calu-3 cells, including FOXO3, JAK2, STAT1, and SIRT1. Collectively, these findings point out for potential miRNA signatures associated with mild, non-hospitalized COVID-19 in a predominantly vaccinated cohort but requiring further investigation as molecular markers of early host responses in larger, independent, and clinically diverse cohorts. ImportanceCOVID-19 produces a wide range of outcomes, from no symptoms to severe illness, and clinicians still lack simple molecular tools to help identify infections or anticipate a patients course early in the disease. miRNAs are small molecules circulating in blood that help control gene activity, and because their levels change during infection, they can be considered potential biomarkers candidates for blood-based tests. Here, we measured nine circulating miRNAs in individuals with mild COVID-19 and in uninfected individuals, thus finding that seven of them were consistently higher in infected patients, with some distinguishing the two groups quite well. This study also links these miRNAs to genes involved in the immune response against SARS-CoV-2. Our findings, generated in a modestly sized cohort, support further investigation of blood-based microRNA panels as potential candidates to help identify infection and clarify early host responses to SARS-CoV-2, pending validation in larger and more clinically diverse cohorts.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- sMAdCAM:IL-6 (sMIL Index): A novel signature associated with COVID-19 disease progression and development of anti-SARS-CoV-2 antibodies 95%
- Distinct proteomic signatures in Ethiopians predict acute and long-term sequelae of COVID-19 94%
- Dysregulated immune responses in COVID-19 patients correlating with disease severity and invasive oxygen requirements 94%
Similar papers in this journal
- Blood transcriptomics analysis offers insights into variant-specific immune response to SARS-CoV-2 93%
- Immune transcriptomes from hospitalized patients infected with the SARS-CoV-2 variants B.1.1.7 and B.1.1.7 carrying the E484K escape mutation 92%
- Persistent SARS-CoV-2 presence is companied with defects in adaptive immune system in non-severe COVID-19 patients 92%
Similar papers in this journal
- Immunophenotyping and machine learning identify distinct immunotypes that predict COVID-19 clinical severity 94%
- Whole blood immunophenotyping uncovers immature neutrophil-to-VD2 T-cell ratio as an early prognostic marker for severe COVID-19 94%
- Multi-omics identify LRRC15 as a COVID-19 severity predictor and persistent pro-thrombotic signals in convalescence 93%
Similar papers in this journal
- Loss of Y in leukocytes as a risk factor for critical COVID-19 in men 93%
- Systemic Multi-Omics Analysis Reveals Interferon Response Heterogeneity and Links Lipid Metabolism to Immune Alterations in Severe COVID-19 93%
- Epigenetic and transcriptomic reprogramming in monocytes of severe COVID-19 patients reflects alterations in myeloid differentiation and the influence of inflammatory cytokines 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.