Acquisition of epithelial plasticity in human chronic liver disease.
Christopher GribbenVasileios GalanakisAlexander CalderwoodEleanor C WilliamsRuben Chazarra-GilMiguel LarrazCarla FrauTobias PuengelAdrien GuillotFoad J RouhaniKrishnaa T A MahbubaniEdmund GodfreySusan E DaviesEmmanouil I AthanasiadisKourosh Saeb ParsyFrank TackeMichael E D AllisonIrina I MohorianuLudovic VallierPublished in: Nature (2024)
For many adult human organs, tissue regeneration during chronic disease remains a controversial subject. Regenerative processes are easily observed in animal models, and their underlying mechanisms are becoming well characterized 1-4 , but technical challenges and ethical aspects are limiting the validation of these results in humans. We decided to address this difficulty with respect to the liver. This organ displays the remarkable ability to regenerate after acute injury, although liver regeneration in the context of recurring injury remains to be fully demonstrated. Here we performed single-nucleus RNA sequencing (snRNA-seq) on 47 liver biopsies from patients with different stages of metabolic dysfunction-associated steatotic liver disease to establish a cellular map of the liver during disease progression. We then combined these single-cell-level data with advanced 3D imaging to reveal profound changes in the liver architecture. Hepatocytes lose their zonation and considerable reorganization of the biliary tree takes place. More importantly, our study uncovers transdifferentiation events that occur between hepatocytes and cholangiocytes without the presence of adult stem cells or developmental progenitor activation. Detailed analyses and functional validations using cholangiocyte organoids confirm the importance of the PI3K-AKT-mTOR pathway in this process, thereby connecting this acquisition of plasticity to insulin signalling. Together, our data indicate that chronic injury creates an environment that induces cellular plasticity in human organs, and understanding the underlying mechanisms of this process could open new therapeutic avenues in the management of chronic diseases.
Keyphrases
- stem cells
- single cell
- endothelial cells
- induced pluripotent stem cells
- type diabetes
- electronic health record
- pluripotent stem cells
- oxidative stress
- genome wide
- big data
- high resolution
- machine learning
- gene expression
- cell therapy
- minimally invasive
- mass spectrometry
- deep learning
- intellectual disability
- decision making
- finite element