ReviewFrontiers in immunology2025
Non-parenchymal cells: key targets for modulating chronic liver diseases.
Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- IGF2BP3 in Multi-System Diseases: Molecular Mechanisms, Pathological Roles and Translational Insights.Cell biochemistry and biophysics · 2026Review
- Generation of a rhesus macaque harboring a multivalent reporter for assessing gene editing outcomes.Scientific reports · 2026Article
- <p>Beyond hepatic stellate cell heterogeneity: Resolving fibrosis, restoring regeneration (Review)</p>.International journal of molecular medicine · 2026Review
- A human liver organoids-on-chip for the assessment of drug-induced liver injury.BMC pharmacology & toxicology · 2026Article
- Review
- Rheumatoid Factor Beyond Rheumatoid Arthritis: A Potential Marker of Cardiometabolic and Hepatic Risk.Biologics : targets & therapy · 2026Review
- Methionine Adenosyltransferase 1A and S-Adenosylmethionine in Alcohol-Associated Liver Disease.Antioxidants (Basel, Switzerland) · 2025Review
- Role of vascular endothelial dysfunction and metabolic eprogramming of immune cells in the development and ogression of atherosclerosis.Frontiers in physiology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Non-neoplastic chronic liver diseases (CLDs), including alcoholic liver disease, metabolic-associated fatty liver disease, viral hepatitis, fibrosis, and cirrhosis, pose a global health challenge due to progressive fibro-inflammatory remodeling. Emerging evidence highlights the pivotal roles of non-parenchymal cells (NPCs)-liver sinusoidal endothelial cells (LSECs), hepatic stellate cells (HSCs), Kupffer cells (KCs), and innate immune lymphocytes such as natural killer (NK) and natural killer T (NKT) cells-in driving disease progression. Chronic liver injury triggers LSEC capillarization, HSC transdifferentiation into collagen-producing myofibroblasts, and KC polarization toward pro-inflammatory phenotypes, collectively exacerbating extracellular matrix deposition and immune dysregulation. Dysfunctional NK/NKT cells play dual roles in antiviral defense and fibrosis amplification through excessive cytokine production. This review summarizes recent advances in understanding NPC-driven mechanisms underlying chronic liver injury and fibrosis, with a focus on LSEC dysfunction, HSC activation, and inflammation mediated by KCs and NK/NKT cells. Furthermore, we delve into emerging therapeutic strategies aimed at targeting NPC-specific pathways, including mechanotransduction modulation in LSECs, metabolic reprogramming of HSCs, and regulation of KC polarization. These approaches provide valuable insights into halting CLD progression and advancing the development of innovative antifibrotic therapies.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.