Evidence map›Paper›PMID 40463378›Full record

ArticleFrontiers in immunology2025

Single-cell RNA sequencing identifies two fibroblast subtypes and a Trem2

Zhili Liu, Xiaojun Song, Ben Wang, Rong Zeng, Liqiang Cui, Yuehong Zheng, Wei Ye

Abstract read
In one paragraph

Article 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Spatial Transcriptomics RevealsbioRxiv : the preprint server for biology · 2025
    Article
  3. Review
  4. Article
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

7 authors.

Zhili Liu *Vascular Surgery Department, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China.
Xiaojun Song *Vascular Surgery Department, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China.
Ben Wang *Department of Obstetrics and Gynecology, Daping Hospital, Third Military Medical University, Chongqing, China.
Rong ZengVascular Surgery Department, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China.
Liqiang CuiVascular Surgery Department, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China.
Yuehong ZhengVascular Surgery Department, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China.
Wei YeVascular Surgery Department, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Aortic aneurysm is a potentially fatal condition. Although contemporary studies have established that this disease triggers an inflammatory response, reduces smooth muscle cells, and induces extracellular matrix remodeling, the involvement of inflammatory cells and associated signaling pathways in the progression and expansion of aneurysms is well-documented. However, clinical treatments utilizing anti-inflammatory therapies have proven ineffective. Methods: In this study, we employed a classic mouse model of abdominal aortic aneurysm (AAA) to compare the cellular composition and functional phenotypes of normal and AAA cells within a comprehensive single-cell microenvironment. Results: Our findings revealed distinct evolutionary pathways for both fibroblasts and macrophages, leading to the identification of specific fibroblast subtypes (Fib_Apoc1

Indexed as

Aortic Aneurysm, AbdominalFibroblastsMacrophagesMembrane GlycoproteinsReceptors, ImmunologicAnimalsDisease Models, AnimalHumansMaleMiceMice, Inbred C57BLSequence Analysis, RNASingle-Cell AnalysisMembrane GlycoproteinsReceptors, Immunologicabdominal aortic aneurysmcrosstalkfibroblastsmacrophagesingle-cell RNA sequence

Identifiers

PMID40463378
PMCPMC12131870

What OpenQuestion 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 OpenQuestion graph.