Evidence map›Paper›PMID 35845296›Full record

ReviewJHEP reports : innovation in hepatology2022

Understanding the cellular interactome of non-alcoholic fatty liver disease.

Sebastian J Wallace, Frank Tacke, Robert F Schwabe, Neil C Henderson

Erratum issuedOpen access · goldAbstract readReview
In one paragraph

Review in JHEP reports : innovation in hepatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed
16.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

85 citing papers in PubMed, 106 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Reprogramming macrophages to treat liver diseases.Hepatology (Baltimore, Md.) · 2026
    Review
  6. Review
  7. [SingleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. Myeloid cells in chronic liver inflammation.Cellular & molecular immunology · 2025
    Review

25 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 3 countries.

Sebastian J WallaceCentre for Inflammation Research, The Queen's Medical Research Institute, Edinburgh BioQuarter, University of Edinburgh, Edinburgh, UK.
Frank TackeDepartment of Hepatology and Gastroenterology, Campus Virchow-Klinikum (CVK) and Campus Charité Mitte (CCM), Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.
Robert F SchwabeDepartment of Hepatology and Gastroenterology, Campus Virchow-Klinikum (CVK) and Campus Charité Mitte (CCM), Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.
Neil C HendersonCentre for Inflammation Research, The Queen's Medical Research Institute, Edinburgh BioQuarter, University of Edinburgh, Edinburgh, UK.
Charité - Universitätsmedizin Berlin · DEColumbia University Irving Medical Center · USMRC Institute of Genetics and Molecular Medicine · GBThe Queen's Medical Research Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

antifibrotic therapiesBAs, bile acidsCCL, C-C motif chemokine ligandCCR, C-C motif chemokine receptorcellular interactomecirrhosisCLD, chronic liver diseaseCTGF, connective tissue growth factorCXCL, C-X-C motif chemokine ligandCXCR, C-X-C motif chemokine receptorDAMP, damage-associated molecular patternECM, extracellular matrixER, endoplasmic reticulumFGF, fibroblast growth factorfibrosisFXR, farnesoid X receptorHSCs, hepatic stellate cellsILC, innate lymphoid cellIL, interleukinKCs, Kupffer cellsLSECs, liver sinusoidal endothelial cellsMAIT, mucosal-associated invariant TMAMPS, microbiota-associated molecular patternsNAFLD, non-alcoholic fatty liver diseaseNASH, non-alcoholic steatohepatitisNK(T), natural killer (T)NLR, Nod like receptorsNon-alcoholic fatty liver disease (NAFLD)PDGF, platelet-derived growth factorPFs, portal fibroblastsSASP, senescence-associated secretory phenotypesingle-cell genomicsTGF, transforming growth factorTLR, Toll-like receptorTNF, tumour necrosis factorVEGF, vascular endothelial growth factor

Identifiers

PMID35845296
PMCPMC9284456
OpenAlexW4282934187

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.