Evidence mapPaperPMID 40423633Full record

ReviewAging and disease2025

Spatial Insights in Cardiovascular Aging.

Zhongling Dai, Huiqin Ding, Quan Zhang, Liyao Fu, Shi Tai

Abstract readReview
In one paragraph

Review in Aging and disease, 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

5 authors.

Zhongling DaiDepartment of Cardiology, The Second Xiangya Hospital of Central South University, Changsha 410011, China.
Huiqin DingDepartment of Cardiology, The Second Xiangya Hospital of Central South University, Changsha 410011, China.
Quan ZhangDepartment of Cardiology, The Second Xiangya Hospital of Central South University, Changsha 410011, China.
Liyao FuDepartment of Blood Transfusion, The Second Xiangya Hospital of Central South University, Changsha, China.
Shi TaiDepartment of Cardiology, The Second Xiangya Hospital of Central South University, Changsha 410011, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial omics provides unprecedented insights into how the cardiovascular system is spatially organized and how cellular phenotypes are distributed. Researchers have been able to clarify the complex spatial architecture of the cardiovascular system and how cellular phenotypes are distributed during the aging process by integrating data from spatial omics. In addition, this new technology has revealed previously hidden patterns of gene expression and cellular communication that were not detected using traditional bulk omics approaches. In this review, we explore the contribution of spatial omics in clarifying the molecular mechanisms that influence cardiovascular aging, highlighting the importance and application of spatial omics in unraveling the spatial heterogeneity within the aging cardiovascular system. This will help us understand the molecular mechanisms implicated in age-related cardiovascular diseases.

Indexed as

AgingCardiovascular DiseasesCardiovascular SystemAnimalsHumans

Identifiers

PMID40423633
PMCPMC13061563

What Socratic holds

Textmetadata
LicenceCC BY
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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.