OXPHOS/glycolysis imbalance drives chronic liver disease progression (IMAGE)
Caption
(A) The Series Test of Cluster results in bioinformatics: the trends showed no redundancy and were rational. Cluster 1 shows a down-regulation in liver disease patients compared with healthy volunteers, followed by an up-regulation with increasing disease severity. Cluster 2 exhibits a down-regulation in early-stage liver disease, which persists and intensifies with severity. Cluster 3 displays an up-regulation correlated with severity, while cluster 4 demonstrates a down-regulation. Cluster 5 initially shows a down-regulation in early-stage liver disease, followed by an up-regulation with severity. (B) Representation of Heat maps of the interested pathways for GSVA cluster 3. (C) The top variations between ACLF and healthy volunteers with the most significant disparities in cluster 3. (D) Representation of Heat maps of the interested pathways for GSVA cluster 4. (E) The top variations between ACLF and healthy volunteers with the most significant disparities in cluster 4. (F) Lac and LDH are risk stratification models for predicting in-hospital mortality in patients with liver disease. (G) Lac and LDH are biomarkers used to evaluate respiratory risk in patients with liver disease. R Statistical Software and the package ComplexHeatmap were used.
Credit
Ziyang Zeng, Zhiyong Yang, Yuhao Lei, Meiyu Zhou, Lin Chen, Yang Chen, Xianfeng Wu,Huiling Cao, Chunyong Yang, Xiaobo Wang, Karine Belguise, Yujie Li, Bin Yi
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