165
Views
2
CrossRef citations to date
0
Altmetric
ORIGINAL RESEARCH

Potential Predictive Value of miR-125b-5p, miR-155-5p and Their Target Genes in the Course of COVID-19

, , , & ORCID Icon
Pages 4079-4091 | Received 27 Apr 2022, Accepted 21 Jul 2022, Published online: 29 Jul 2022

Figures & data

Table 1 Clinical and Demographical Characteristics of the Study Participants

Figure 1 miRNAs and mRNAs with no statistically significant differences in the expression levels in different groups. The horizontal line in the middle of the figure represents the median, and the horizontal lines at both ends are Q25 and Q75. (AC) miRNAs with no statistically significant differences in the expression levels in different groups. (D) mRNAs with no statistically significant differences in the expression levels in different groups.

Figure 1 miRNAs and mRNAs with no statistically significant differences in the expression levels in different groups. The horizontal line in the middle of the figure represents the median, and the horizontal lines at both ends are Q25 and Q75. (A–C) miRNAs with no statistically significant differences in the expression levels in different groups. (D) mRNAs with no statistically significant differences in the expression levels in different groups.

Figure 2 Comparison of miRNAs expression levels between patients with COVID-19 and healthy people at different stages. Three points on a line represent different periods of the same patient. *P < 0.05.

Figure 2 Comparison of miRNAs expression levels between patients with COVID-19 and healthy people at different stages. Three points on a line represent different periods of the same patient. *P < 0.05.

Figure 3 Comparison of mRNAs expression levels between patients with COVID-19 and healthy people at different stages. Three points on a line represent different periods of the same patient. *P < 0.05.

Figure 3 Comparison of mRNAs expression levels between patients with COVID-19 and healthy people at different stages. Three points on a line represent different periods of the same patient. *P < 0.05.

Figure 4 Correlations between differential expression miRNA-mRNA and laboratory parameters. *P < 0.05, **P < 0.01, -: Not analyzed.

Abbreviations: UA, uric acid; CREA, creatinine; UREA, urea nitrogen; TBIL, total bilirubin; DBIL, direct bilirubin; IBIL, indirect bilirubin; GGT, gamma-glutamyltransferase; ALP, alkaline phosphatase; WBC, leukocyte count; RBC, red blood cell count; PLT, platelet count; HGB, hemoglobin; NE, neutrophil count; LY, lymphocyte count; MONO, monocyte count.
Figure 4 Correlations between differential expression miRNA-mRNA and laboratory parameters. *P < 0.05, **P < 0.01, -: Not analyzed.

Table 2 Accuracy Evaluation of Classification Tree Model

Figure 5 Classification tree model and ROC curve analysis of independent variables in the model. (A) 0: control, 1: recovery, 2: turn negative, 3: acute; (BD) ROC curves of miR-125b-5p, miR-155-5p, STAT3 and TRIM32 in identify and predict different stages of COVID-19.

Figure 5 Classification tree model and ROC curve analysis of independent variables in the model. (A) 0: control, 1: recovery, 2: turn negative, 3: acute; (B–D) ROC curves of miR-125b-5p, miR-155-5p, STAT3 and TRIM32 in identify and predict different stages of COVID-19.

Table 3 ROC Curve Analysis of miR-125b-5p, miR-155-5p, STAT3 and TRIM32 in Predicting the Course of COVID-19