ReviewGut2026
Spatial single-cell omics: new insights into liver diseases.
Review in Gut, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Single-Cell and Machine Learning Analyses Identify a PFKFB3-Centered Regulatory Network and Potential Salidroside Interaction in Coronary Heart Disease.International journal of molecular sciences · 2026Article
- Review
- Emerging Serological Biomarkers for Autoimmune Hepatitis.Journal of clinical medicine · 2026Review
- Review
- Translating Fibrosis to Malignancy: Biomarkers and Therapeutic Opportunities in Liver Fibrosis and Hepatocellular Carcinoma.Medical sciences (Basel, Switzerland) · 2026Review
- HCMV infection disrupts barrier functions and promotes epithelial-mesenchymal transition in a cholangiocyte organoid model.Nature communications · 2026Article
- Bridging the Gap Between Static Histology and Dynamic Organ-on-a-Chip Models.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026Review
- The invasive front in hepatocellular carcinoma: toward a tumor-CAF-macrophage metabolic interface.Frontiers in immunology · 2026Article
- Deciphering immunosuppressive niches by spatial single-cell proteomics: spatial interaction networks and translational opportunities.Frontiers in immunology · 2026Review
- Bile acid-axis dysregulation in MASLD/MASH progression: from metabolic mismatch to inflammatory-fibrotic remodeling.Frontiers in medicine · 2026Review
- Panomics in metabolic dysfunction-associated steatotic liver disease: unravelling the drivers of disease heterogeneity.Clinical and molecular hepatology · 2026Review
- Conserved Ductular Reaction Mechanisms in Biliary Atresia and Primary Sclerosing Cholangitis Derived From Single-Cell and Spatial Transcriptomics.Cellular and molecular gastroenterology and hepatology · 2026Review
- Comprehensive Review on the Toxicity of Five Main AQ Constituents from Rhubarb: Mechanisms, Challenges and Future Perspectives.Drug design, development and therapy · 2026Review
- Unified platform for multiplex immunofluorescence across liver tissues and engineered models.eGastroenterology · 2026Article
- New Challenges in the Study of Liver Diseases: From Molecular Pathogenesis to Therapeutic Approaches (3rd Edition).Biomedicines · 2025Article
- Nutrigenomics meets multi-omics: integrating genetic, metabolic, and microbiome data for personalized nutrition strategies.Genes & nutrition · 2025Review
- Metabolic collusion driving immune evasion in cholangiocarcinoma: unmasking the dual control of the immuno-metabolic microenvironment.Frontiers in immunology · 2025Review
- Liver fibrosis and cirrhosis in the multi-omics era: mechanisms and therapeutic perspectives from human and animal models.Frontiers in cellular and infection microbiology · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The liver is a highly multifunctional organ that can perform many metabolic and immunological functions due to a highly complex spatially organised microarchitecture that is disturbed in many liver diseases. Recent methodological advances in spatial omics technologies enable the comprehensive study of the intrahepatic proteome, transcriptome and metabolome at near single-cell and subcellular resolution. The spatial resolution adds an additional dimension to our understanding of the liver, with the potential to revolutionise our insights into the cellular and molecular mechanisms underlying liver physiology and their dysregulation in liver disease. The identification of spatial niches and interactions is empowered by advanced bioinformatics approaches facilitating spatial cellular and network-level analysis and providing novel opportunities for clinical translation. A recent example in immuno-oncology is the use of spatial architecture-based immune classifications, which can improve patient stratification. In this review, we provide an overview of the current methodology and novel spatial insights into metabolic, infectious, immune-mediated, toxic and malign liver diseases and discuss perspectives for clinical translation.
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.