Table 1.
13 pathways detected by RedRibbon only in the up–up-regulation quadrant in Fig 3D.
| Pathway | P-value | Relevance to type 2 diabetes |
|---|---|---|
| Regulation of protein phosphorylation | 0.012 | Batista et al (2020) |
| Regulation of osteoblast differentiation | 0.018 | |
| Regulation of DNA-binding transcription factor activity | 0.018 | Guo et al (2013); del Bosque-Plata et al (2021) |
| Regulation of receptor signaling pathway via JAK-STAT | 0.019 | Moshapa et al (2019); Wu et al (2019) |
| Wound healing | 0.021 | |
| Toll-like receptor signaling pathway | 0.022 | Sepehri et al (2016); Guo et al (2021) |
| Overview of proinflammatory and profibrotic mediators | 0.022 | Tsalamandris et al (2019) |
| Positive regulation of defense response | 0.025 | Creely et al (2007); Berbudi et al (2020) |
| Lung fibrosis | 0.028 | |
| Protein phosphorylation | 0.033 | Batista et al (2020) |
| MAPK cascade | 0.038 | Avruch (2007); He et al (2021) |
| Circulatory system development | 0.039 | |
| Regulation of cell death | 0.042 | Cnop et al (2005); Mukherjee et al (2021) |
The improved accuracy of RedRibbon detects pathways in human islets that overlap between lipoglucotoxicity and type 2 diabetes. Listed references show the importance of these pathways in type 2 diabetes.