Evidence map›Paper›PMID 41370510›Full record

ReviewEinstein (Sao Paulo, Brazil)2025

Unraveling atherosclerosis through single-cell RNA sequencing: insights into cellular heterogeneity and disease mechanisms.

Carlos Vicente Serrano, Matheus Laterza Ribeiro, Luciana Dornfeld Bichuette, Bruna Romanelli Scarpa Matuck, Patricia Severino, Kenneth J Gollob, João A C Lima, Peter Libby

Abstract readReview
In one paragraph

Review in Einstein (Sao Paulo, Brazil), 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. Review
  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

8 authors.

Carlos Vicente SerranoHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-9171-1224
Matheus Laterza RibeiroHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-8221-0778
Luciana Dornfeld BichuetteHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-9661-6963
Bruna Romanelli Scarpa MatuckHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-2838-9201
Patricia SeverinoHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-6682-9343
Kenneth J GollobHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0003-4184-3867
João A C LimaJohns Hopkins, Baltimore, Maryland, United States.ORCID http://orcid.org/0000-0001-8756-6995
Peter LibbyBrigham and Women's Hospital, Boston, Massachusetts, United States.ORCID http://orcid.org/0000-0002-1502-502X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atherosclerosis remains the leading cause of mortality worldwide. The characterization of atherosclerotic lesions reveals that they represent a chronic and progressive inflammatory condition affecting the arterial wall. Despite extensive investigations, its complex pathogenesis remains incompletely understood. Single-cell RNA sequencing (scRNA-seq) has recently emerged as a transformative tool, enabling detailed analysis of the cellular composition within atherosclerotic plaques. This approach provides a more comprehensive and nuanced understanding of plaque biology. This review provides a concise overview of current scRNA-seq methodologies and highlights their applications in atherosclerosis studies to elucidate the mechanisms underlying its onset, progression, and potential therapeutic targets.

Indexed as

AtherosclerosisPlaque, AtheroscleroticSequence Analysis, RNASingle-Cell AnalysisHumans

Identifiers

PMID41370510
PMCPMC12671654

What OpenQuestion 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 OpenQuestion graph.