Evidence map›Paper›PMID 40938627›Full record

ArticleCancer biomarkers : section A of Disease markers2025

Role of immune cell subsets in liver fibrosis through single-cell RNA sequencing and array.

Bo Yang, Junjie Yuan, Jingwen Zhao, Xin Chen

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

4 authors.

Bo YangDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China.ORCID 0000-0003-3505-006X
Junjie YuanDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China.ORCID 0009-0001-2093-1289
Jingwen ZhaoDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China.ORCID 0000-0002-2192-4320
Xin ChenDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin, China.ORCID 0000-0003-3024-9053

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundImmune-inflammatory responses and dysregulation play a key role in liver fibrosis (LF) and cirrhosis progression, but the phenotypic and functional dynamics of immune cell populations remain poorly characterized.MethodsLF-related data from the GEO database were analyzed using ssGSEA to quantify immune cell infiltration and Kaplan-Meier analysis to assess the prognostic value of specific immune cell populations. Single-cell RNA sequencing data were used to establish an immune cell atlas, identify cell types linked to poor prognosis, and validate characteristic genes. Additionally, the functional distinctions and cell-cell interactions were further investigated.ResultsLF patients showed increased infiltration of monocytes, T cells, and NK cells, associated with poor outcomes. Genes linked to poor prognosis were markedly expressed in mononuclear phagocytes, T cells, and innate lymphoid cells (ILCs), which were further classified into 24 distinct subpopulations. Pro-fibrotic scar-associated macrophages and pro-inflammatory ILCs increased, while anti-inflammatory Kupffer cells and protective ILCs decreased. CCR7-expressing T cells and depletion-related genes were elevated in peripheral blood mononuclear cells, with ILCs showing increased expression of S1PR4 and S1PR5. Furthermore, macrophages expressing CD9 and IGFBP7 were identified.ConclusionThis study highlights immune heterogeneity in LF, identifying key cell populations linked to disease progression, offering potential immunotherapy targets.

Indexed as

Liver CirrhosisSingle-Cell AnalysisFemaleHumansMalePrognosisSequence Analysis, RNAcirrhosisimmune cellsliver fibrosispoor prognosisSingle-cell sequencing

Identifiers

PMID40938627
PMCPMC13666559

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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 OpenQuestion graph.