Evidence mapPaperPMID 41139809Full record

ReviewJournal of cellular and molecular medicine2025

Immune Cell Dynamics in Cardiac Diseases: Insights From Single-Cell Sequencing.

Weirong Zeng, Jiao Li, Weiwei Liu, Bei Shi, Ranzun Zhao, Yan Wang

Abstract readReview
In one paragraph

Review in Journal of cellular and molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Weirong ZengDepartment of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Jiao LiDepartment of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.ORCID 0000-0003-2128-9416
Weiwei LiuDepartment of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Bei ShiDepartment of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Ranzun ZhaoDepartment of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Yan WangDepartment of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.

Funding

National Natural Science Foundation of China 82060061National Natural Science Foundation of China 82160057National Natural Science Foundation of China 82200316
6 · The paper itself

Abstract

Immune cell-mediated immune-inflammatory responses play a key role in the development of cardiac diseases. To study cardiac health and the underlying pathophysiological mechanisms, researchers must thoroughly understand immune cell functions and characteristics. However, the complex cellular heterogeneity and inter-cellular interactions remain largely unexplored. Single-cell sequencing, a high-throughput technique for sequencing genomes and transcriptomes at the individual cell level, not only enables the discovery of new cell types but also provides a detailed assessment of cellular heterogeneity and reveals each cell's unique contribution to disease. This technological advancement has significantly impacted cardiovascular research, reshaping our understanding of immune cells' roles in the development of cardiac diseases. Therefore, it is crucial to comprehensively summarise the plasticity, heterogeneity, infiltration patterns and functional roles of immune cells using single-cell sequencing, focusing on the dynamic regulation of immuno-inflammatory responses across various cardiac diseases to develop more precise therapeutic targets for cardiac diseases.

Indexed as

Heart DiseasesSingle-Cell AnalysisAnimalsHigh-Throughput Nucleotide SequencingHumansTranscriptomecardiac diseasesimmune cellsingle‐cell sequencing

Identifiers

PMID41139809
PMCPMC12554627

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.