Table 2. Summary of the differential abundance analysis for pancreatic miRNAs in circulation.
logFC | FC | P.Value | adj.P.Val | logFC | FC | P.Value | adj.P.Val | |||
---|---|---|---|---|---|---|---|---|---|---|
PreT2D-Healthy | LADA-Healthy | |||||||||
miR-126 | −0.95 | 0.52 | 0.0243 | 0.1217 | miR-126 | −0.03 | 0.98 | 0.9512 | 0.9868 | |
miR-146a | −0.94 | 0.52 | 0.0207 | 0.1217 | miR-146a | 0.27 | 1.21 | 0.6127 | 0.9868 | |
miR-148a | −0.96 | 0.51 | 0.0608 | 0.1521 | miR-148a | 0.01 | 1.01 | 0.9868 | 0.9868 | |
miR-21 | −0.43 | 0.74 | 0.2240 | 0.3734 | miR-21 | 0.08 | 1.05 | 0.8715 | 0.9868 | |
miR-24 | −0.73 | 0.60 | 0.0823 | 0.1647 | miR-24 | 0.43 | 1.35 | 0.4336 | 0.9868 | |
miR-29a | −1.08 | 0.47 | 0.0530 | 0.1521 | miR-29a | −0.64 | 0.64 | 0.3861 | 0.9868 | |
miR-30d | −0.12 | 0.92 | 0.8110 | 0.8110 | miR-30d | −0.27 | 0.83 | 0.6800 | 0.9868 | |
miR-34a | −0.22 | 0.86 | 0.7658 | 0.8110 | miR-34a | 1.37 | 2.59 | 0.1717 | 0.9868 | |
miR-375 | −0.62 | 0.65 | 0.4004 | 0.5005 | miR-375 | −0.26 | 0.84 | 0.7910 | 0.9868 | |
miR-376a | −0.62 | 0.65 | 0.2767 | 0.3953 | miR-376a | 0.16 | 1.12 | 0.8324 | 0.9868 | |
T2D-Healthy | T1D-Healthy | |||||||||
miR-126 | 0.79 | 1.73 | 0.0506 | 0.0894 | miR-126 | 0.48 | 1.39 | 0.1794 | 0.2243 | |
miR-146a | 0.34 | 1.26 | 0.3828 | 0.3828 | miR-146a | 0.53 | 1.44 | 0.1243 | 0.1776 | |
miR-148a | 0.97 | 1.96 | 0.0481 | 0.0894 | miR-148a | 1.11 | 2.15 | 0.0119 | 0.0396 | |
miR-21 | 0.74 | 1.67 | 0.0301 | 0.0894 | miR-21 | 0.86 | 1.81 | 0.0052 | 0.0396 | |
miR-24 | 0.59 | 1.50 | 0.1428 | 0.2040 | miR-24 | 0.85 | 1.81 | 0.0181 | 0.0452 | |
miR-29a | 1.03 | 2.04 | 0.0537 | 0.0894 | miR-29a | 0.80 | 1.74 | 0.0920 | 0.1582 | |
miR-30d | 1.41 | 2.66 | 0.0034 | 0.0338 | miR-30d | 0.70 | 1.63 | 0.0949 | 0.1582 | |
miR-34a | 1.72 | 3.30 | 0.0184 | 0.0894 | miR-34a | 0.70 | 1.63 | 0.2723 | 0.3026 | |
miR-375 | 0.82 | 1.77 | 0.2460 | 0.3023 | miR-375 | 1.68 | 3.21 | 0.0085 | 0.0396 | |
miR-376a | −0.60 | 0.66 | 0.2721 | 0.3023 | miR-376a | 0.36 | 1.28 | 0.4602 | 0.4602 |
The differential abundance analysis was implemented in the R environment using the limma package. Features (miRNAs) are sorted alphabetically. Significant values [p < 0.05 and/or adjusted p value (FDR) < 0.13] are highlighted in bold and underlined.