| Literature DB >> 35845296 |
Sebastian J Wallace1, Frank Tacke2, Robert F Schwabe2,3,4,5, Neil C Henderson1,6.
Abstract
Non-alcoholic fatty liver disease (NAFLD) is reaching epidemic proportions, with a global prevalence of 25% in the adult population. Non-alcoholic steatohepatitis (NASH), which can lead to cirrhosis, has become the leading indication for liver transplantation in both Europe and the USA. Liver fibrosis is the consequence of sustained, iterative liver injury, and the main determinant of outcomes in NASH. The liver possesses remarkable inherent plasticity, and liver fibrosis can regress when the injurious agent is removed, thus providing opportunities to alter long-term outcomes through therapeutic interventions. Although hepatocyte injury is a key driver of NASH, multiple other cell lineages within the hepatic fibrotic niche play major roles in the perpetuation of inflammation, mesenchymal cell activation, extracellular matrix accumulation as well as fibrosis resolution. The constituents of this cellular interactome, and how the various subpopulations within the fibrotic niche interact to drive fibrogenesis is an area of active research. Important cellular components of the fibrotic niche include endothelial cells, macrophages, passaging immune cell populations and myofibroblasts. In this review, we will describe how rapidly evolving technologies such as single-cell genomics, spatial transcriptomics and single-cell ligand-receptor analyses are transforming our understanding of the cellular interactome in NAFLD/NASH, and how this new, high-resolution information is being leveraged to develop rational new therapies for patients with NASH.Entities:
Keywords: BAs, bile acids; CCL, C-C motif chemokine ligand; CCR, C-C motif chemokine receptor; CLD, chronic liver disease; CTGF, connective tissue growth factor; CXCL, C-X-C motif chemokine ligand; CXCR, C-X-C motif chemokine receptor; DAMP, damage-associated molecular pattern; ECM, extracellular matrix; ER, endoplasmic reticulum; FGF, fibroblast growth factor; FXR, farnesoid X receptor; HSCs, hepatic stellate cells; IL, interleukin; ILC, innate lymphoid cell; KCs, Kupffer cells; LSECs, liver sinusoidal endothelial cells; MAIT, mucosal-associated invariant T; MAMPS, microbiota-associated molecular patterns; NAFLD, non-alcoholic fatty liver disease; NASH, non-alcoholic steatohepatitis; NK(T), natural killer (T); NLR, Nod like receptors; Non-alcoholic fatty liver disease (NAFLD); PDGF, platelet-derived growth factor; PFs, portal fibroblasts; SASP, senescence-associated secretory phenotype; TGF, transforming growth factor; TLR, Toll-like receptor; TNF, tumour necrosis factor; VEGF, vascular endothelial growth factor; antifibrotic therapies; cellular interactome; cirrhosis; fibrosis; single-cell genomics
Year: 2022 PMID: 35845296 PMCID: PMC9284456 DOI: 10.1016/j.jhepr.2022.100524
Source DB: PubMed Journal: JHEP Rep ISSN: 2589-5559
Fig. 1Signalling from injured hepatocytes and cholangiocytes to non-parenchymal cells in the fibrotic niche.
Injured hepatocytes activate immune cells through DAMPs-TLR9, IL-1β, IL-18 and CXCL10 and directly stimulate myofibroblast differentiation and activation through TGFβ1/2, SHH and PDGFRBB signalling. Immune cell-mediated mechanisms of myofibroblast activation include TGFβ1/2- and amphiregulin-mediated pathways. Ligands are represented in blue and receptors in red.
Fig. 2Immune cell interactome table.
Summary of macrophage, neutrophil, NK cell and T lymphocyte populations within the hepatic fibrotic niche, with key roles in inflammation/fibrosis; activation pathways and ligand/receptor expression are highlighted. The known role and interactions of NKT cells and B cells are addressed in the text. BMD, bone marrow-derived; HSCs, hepatic stellate cells; KCs, Kupffer cells; MFBs, myofibroblasts; NK(T), natural killer (T).
Fig. 3Multi-lineage regulation of myofibroblast formation in the hepatic fibrotic niche.
The central red arrow represents activation of mesenchymal cells into myofibroblasts which deposit ECM and drive scar formation. Macrophages, liver sinusoidal endothelial cells and natural killer cells can all exert regulatory effects on myofibroblast activation. Furthermore, myofibroblasts can also secrete MMPs that break down and remodel the ECM. ECM, extracellular matrix.
Summary of some of the current single-cell genomics technologies.
| Technology | Examples | Application | Advantages/ |
|---|---|---|---|
| Single-cell RNA-sequencing | 10X Chromium® | Allows rapid and high-throughput single-cell RNA-sequencing | Single-cell transcriptome resolution at scale |
| Single-nuclei RNA-sequencing | 10X Chromium® | Allows rapid and high-throughput single nuclei RNA-sequencing | Can use frozen tissue, excellent utility in single hepatocyte transcriptome generation |
| Multiome transcriptome-epigenome sequencing | Single-cell ATAC-seq | Combined epigenetic and transcriptomic profiling from the same cell | Can also be combined with single-cell RNA-sequencing databases to analyse epigenetic regulation of genes and identify regulators such as transcription factors. |
| Spatial transcriptomics | 10X Visium® | Maps gene expression (genome wide – Visium, or high plex – MERFISH) spatially within FFPE or frozen tissue sections | Allows interrogation of |
| Ligand-receptor interactome analysis | CellPhoneDB | Identifies ligand-receptor or regulatory gene interactions within a single-cell database | Can be applied to large transcriptomic databases to identify significant ligand-receptor interactions between different cell subpopulations. Will likely be very useful algorithms in the context of spatial transcriptomic databases as well. |
| High-throughput CRISPR perturbed phenotype analysis | Perturb-seq | Analysis at scale of CRISPR-mediated gene perturbations at single-cell resolution | High-throughput functional analysis of the transcriptome with potential to underpin precision drug design. |
ATAC-seq, assay for transposase-accessible chromatin using sequencing; FFPE, formalin fixed paraffin embedded; MERFISH, multiplexed error-robust flouesence in situ hybridisation.