Evidence mapPaperPMID 41583443Full record

ReviewFrontiers in immunology2025

Immunological mechanisms underlying fibrotic diseases via single-cell technologies.

Yuzo Koda, Nobuhiro Nakamoto, Takanori Kanai

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yuzo KodaDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
Nobuhiro NakamotoDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
Takanori KanaiDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibrosis is an organ dysfunction caused by excessive deposition of fibrous components produced by parenchymal cells. Effective treatments are lacking for this progressive pathological condition that manifests in various organs and can lead to mortality. The involvement of the immune system in various aspects of fibrosis development, including chronic organ damage induced by macrophages and T cells, wound healing by macrophages and growth factors such as TGF-β, and polarization toward the type II cytokine phenotype, has been widely reported. Recently, immune cells were also reported to contribute to the resolution phase of fibrotic conditions, highlighting the relevance of immune cell analysis in the understanding of both progression and recovery of fibrotic pathologies. However, owing to the complexity and diversity of disease progression, conventional pathological analyses that focus on individual cells and factors have limitations. Technological advancements, such as next-generation sequencing and spatial transcriptome analysis, have enabled pathological analysis at the single-cell level rendering positional information on cells within organs. These advancements have allowed for the redefinition of heterogeneous cells present in organs and a precise understanding of individual cell phenotypes from small human patient samples. Furthermore, integration of transcriptome, proteome, and epigenome data from each cell has begun to reveal important cell-cell interactions under various fibrotic conditions. This review comprehensively discusses the involvement of the immune system and fibrosis, as well as the key interactions between immune and parenchymal cells unraveled via recent advancements in single-cell analysis of fibrotic pathologies in various organs. It also introduces novel strategies leveraging the latest single-cell analyses for fibrosis treatment.

Indexed as

FibrosisSingle-Cell AnalysisAnimalsHumansfibrosisimmune cellssingle cell analysissingle-cell transcriptomespatial transcriptome

Identifiers

PMID41583443
PMCPMC12827748

What Socratic holds

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Registered trials

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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.