Evidence map›Paper›PMID 40374642›Full record

ArticleNature communications2025

Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets.

Kazutoshi Hirose, Satoshi Kodera, Masako Nishikawa, Masataka Sato, Yuqi Zhou, Hongqian Zhang, Shun Minatsuki, Junichi Ishida, Norifumi Takeda, Huidong Wang and 14 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

24 authors.

Kazutoshi HiroseDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-7084-9830
Satoshi KoderaDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Masako NishikawaDepartment of Clinical Laboratory Medicine, The University of Tokyo, Tokyo, Japan. msknishikawa-tky@umin.ac.jp.ORCID http://orcid.org/0000-0002-3840-767X
Masataka SatoDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Yuqi ZhouDepartment of Chemistry, The University of Tokyo, Tokyo, Japan.
Hongqian ZhangDepartment of Chemistry, The University of Tokyo, Tokyo, Japan.
Shun MinatsukiDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Junichi IshidaDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Norifumi TakedaDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0003-4818-3347
Huidong WangDepartment of Chemistry, The University of Tokyo, Tokyo, Japan.
Chuiming KongDepartment of Chemistry, The University of Tokyo, Tokyo, Japan.
Yunjie DengDepartment of Chemistry, The University of Tokyo, Tokyo, Japan.
Junyu ChenDepartment of Chemistry, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0009-0007-4152-9567
Chenqi ZhangDepartment of Chemistry, The University of Tokyo, Tokyo, Japan.
Jun AkitaDepartment of Chemistry, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0009-0000-0185-1796
Yuma IbayashiDepartment of Chemistry, The University of Tokyo, Tokyo, Japan.
Ruoxi YangDepartment of Chemistry, The University of Tokyo, Tokyo, Japan.
Hiroshi KannoDepartment of Chemistry, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0003-3340-9462
Nao NittaCYBO Inc, Tokyo, Japan.ORCID http://orcid.org/0000-0002-9093-9016
Takeaki SugimuraCYBO Inc, Tokyo, Japan.
Norihiko TakedaDepartment of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.
Makoto KuranoDepartment of Clinical Laboratory Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-2596-1145
Yutaka YatomiDepartment of Clinical Laboratory Medicine, The University of Tokyo, Tokyo, Japan.
Keisuke GodaDepartment of Chemistry, The University of Tokyo, Tokyo, Japan. goda@chem.s.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0001-6302-6038

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery disease (CAD) is a leading cause of death globally. Antiplatelet therapy remains crucial in preventing and treating CAD-associated thrombotic complications, but it concurrently amplifies the risk of bleeding. Unfortunately, traditional platelet function measurement methods cannot directly evaluate its efficacy and safety. Here we demonstrate comprehensive image-based profiling of circulating platelets to directly observe thrombotic conditions and assess antiplatelet therapy in CAD patients. Deep learning-based analysis of whole blood samples from 207 CAD patients revealed elevated concentrations of circulating platelet aggregates, especially in acute versus chronic coronary syndrome patients. It also indicated a regimen-dependent reduction in these concentrations upon treatment with antiplatelet drugs, thereby verifying the direct efficacy of the therapy. Notably, consistent concentrations of these aggregates were found in both venous and arterial blood, suggesting venous blood as a reliable therapy efficacy indicator, despite CAD's arterial nature. These findings support personalized and improved antiplatelet therapy in CAD management.

Indexed as

Blood PlateletsCoronary Artery DiseasePlatelet Aggregation InhibitorsAcute Coronary SyndromeAgedDeep LearningFemaleHumansMaleMiddle AgedPlatelet AggregationPlatelet Aggregation Inhibitors

Identifiers

PMID40374642
PMCPMC12081751

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.