Evidence mapPaperPMID 41244336Full record

ArticleBioengineering & translational medicine2025

Ex vivo single-cell profiling of acute myocardial infarction patients reveals disproportionate CD66b

Kerwin Kwek Zeming, Ri Lu, Elizabeth Lee, Ka-Wai Cheung, Nicholas W S Chew, Kai Lee Woo, Lih Feng Cheow, Jongyoon Han, Shir Lynn Lim

Abstract read
In one paragraph

Article in Bioengineering & translational medicine, 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

9 authors.

Kerwin Kwek ZemingCritical Analytics for Manufacturing of Personalised Medicine Singapore-MIT Alliance for Research and Technology Singapore Singapore.ORCID https://orcid.org/0000-0002-3088-3604
Ri LuCritical Analytics for Manufacturing of Personalised Medicine Singapore-MIT Alliance for Research and Technology Singapore Singapore.
Elizabeth LeeCritical Analytics for Manufacturing of Personalised Medicine Singapore-MIT Alliance for Research and Technology Singapore Singapore.
Ka-Wai CheungCritical Analytics for Manufacturing of Personalised Medicine Singapore-MIT Alliance for Research and Technology Singapore Singapore.
Nicholas W S ChewDepartment of Cardiology National University Heart Centre Singapore Singapore.
Kai Lee WooDepartment of Cardiology National University Heart Centre Singapore Singapore.
Lih Feng CheowCritical Analytics for Manufacturing of Personalised Medicine Singapore-MIT Alliance for Research and Technology Singapore Singapore.ORCID https://orcid.org/0000-0003-1766-0024
Jongyoon HanCritical Analytics for Manufacturing of Personalised Medicine Singapore-MIT Alliance for Research and Technology Singapore Singapore.
Shir Lynn LimDepartment of Cardiology National University Heart Centre Singapore Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myocardial infarction (AMI), a leading cause of death globally, triggers complex inflammatory responses critical to patient outcomes. However, rapid tools for profiling immune responses at the single-cell level are lacking. The integrated Single-cell Enzyme and Antigen Quantification (iSEAQ) system addresses this gap by enabling high-throughput, single-cell analysis of immune cell activity using just 20 μL of blood. This novel tool processes live CD66b and CD3 cells to quantify the secretion of Granzyme B, Neutrophil Elastase, and CD31 within minutes. Longitudinal studies on nine AMI patients revealed that CD66b

Indexed as

acute myocardial infarctiondeterministic lateral displacementdroplet microfluidicsimmune profilingSecretomicssingle cell

Identifiers

PMID41244336
PMCPMC12617547

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.