Evidence map›Paper›PMID 42078953›Full record

ArticleNational science review2026

A transistor-based point-of-care assay with lipid-capped sensory interface for clinical profiling of cardiovascular diseases.

Duo Chen, Nan Song, Yun Zhang, Fuding Guo, Liping Zhou, Cunlan Guo, Xidong Duan, Dacheng Wei, Weihong Tan, Lilei Yu and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in National science review, 2026. 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. Article
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

12 authors.

Duo ChenCollege of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Department of Cardiology, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, State Key Laboratory of Metabolism and Regulation in Complex Organisms, Taikang Center for Life and Medical Sciences, Hubei Key Laboratory of Autonomic Nervous System Modulation, Cardiac Autonomic Nervous System Research Center of Wuhan University, Wuhan University, Wuhan 430072, China.
Nan SongCollege of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Department of Cardiology, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, State Key Laboratory of Metabolism and Regulation in Complex Organisms, Taikang Center for Life and Medical Sciences, Hubei Key Laboratory of Autonomic Nervous System Modulation, Cardiac Autonomic Nervous System Research Center of Wuhan University, Wuhan University, Wuhan 430072, China.
Yun ZhangCollege of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Department of Cardiology, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, State Key Laboratory of Metabolism and Regulation in Complex Organisms, Taikang Center for Life and Medical Sciences, Hubei Key Laboratory of Autonomic Nervous System Modulation, Cardiac Autonomic Nervous System Research Center of Wuhan University, Wuhan University, Wuhan 430072, China.
Fuding GuoCollege of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Department of Cardiology, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, State Key Laboratory of Metabolism and Regulation in Complex Organisms, Taikang Center for Life and Medical Sciences, Hubei Key Laboratory of Autonomic Nervous System Modulation, Cardiac Autonomic Nervous System Research Center of Wuhan University, Wuhan University, Wuhan 430072, China.
Liping ZhouCollege of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Department of Cardiology, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, State Key Laboratory of Metabolism and Regulation in Complex Organisms, Taikang Center for Life and Medical Sciences, Hubei Key Laboratory of Autonomic Nervous System Modulation, Cardiac Autonomic Nervous System Research Center of Wuhan University, Wuhan University, Wuhan 430072, China.
Cunlan GuoCollege of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Department of Cardiology, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, State Key Laboratory of Metabolism and Regulation in Complex Organisms, Taikang Center for Life and Medical Sciences, Hubei Key Laboratory of Autonomic Nervous System Modulation, Cardiac Autonomic Nervous System Research Center of Wuhan University, Wuhan University, Wuhan 430072, China.
Xidong DuanHunan Key Laboratory of Two-Dimensional Materials, State Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.ORCID https://orcid.org/0000-0002-4489-2835
Dacheng WeiState Key Laboratory of Molecular Engineering of Polymers, Laboratory of Molecular Materials and Devices, Department of Macromolecular Science, Fudan University, Shanghai 200433, China.
Weihong TanKey Laboratory of Zhejiang Province for Aptamers and Theranostics, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310022, China.ORCID https://orcid.org/0000-0002-8066-1524
Lilei YuCollege of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Department of Cardiology, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, State Key Laboratory of Metabolism and Regulation in Complex Organisms, Taikang Center for Life and Medical Sciences, Hubei Key Laboratory of Autonomic Nervous System Modulation, Cardiac Autonomic Nervous System Research Center of Wuhan University, Wuhan University, Wuhan 430072, China.ORCID https://orcid.org/0000-0001-9229-2829
Yanbing YangCollege of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Department of Cardiology, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, State Key Laboratory of Metabolism and Regulation in Complex Organisms, Taikang Center for Life and Medical Sciences, Hubei Key Laboratory of Autonomic Nervous System Modulation, Cardiac Autonomic Nervous System Research Center of Wuhan University, Wuhan University, Wuhan 430072, China.
Quan YuanCollege of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Department of Cardiology, Institute of Molecular Medicine, Renmin Hospital of Wuhan University, State Key Laboratory of Metabolism and Regulation in Complex Organisms, Taikang Center for Life and Medical Sciences, Hubei Key Laboratory of Autonomic Nervous System Modulation, Cardiac Autonomic Nervous System Research Center of Wuhan University, Wuhan University, Wuhan 430072, China.ORCID https://orcid.org/0000-0002-3085-431X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Point-of-care (POC) testing for electrical detection of cardiovascular disease (CVD) can enable effective screening and surveillance. However, the complexity and diversity of serum samples interfere with the transduction of electrical signals, limiting the sensitivity and accuracy of the biochemical assay. Here, we present the development and performance of an electrical POC assay based on self-assembled lipid-capped transistor sensory interfaces for the simultaneous detection and profiling of five myocardial injury biomarkers, with detection limits as low as pg/mL levels. By reducing Debye screening and non-specific adsorption through phospholipid self-assembly, the electrical assay maintains high sensitivity and specificity in human serum, as well as promising quantitative accuracy. For acute myocardial infarction (AMI) animal modeling, our assay detects variations in key biomarker characteristics within 15 to 45 min after the onset of myocardial injury, with a detection time window more than 30 min earlier than biochemical assays. Through the combination profiling of five biomarker signatures from 265 clinical serum samples, our assay achieves 91.7% accuracy for AMI identification and 79.6% accuracy for cardiovascular disease classification, effectively monitoring the prognosis of AMI patients. This assay may provide reliable clinical guidance for the early diagnosis, risk assessment, and prognosis monitoring of CVD.

Indexed as

biosensing mechanismcardiovascular diseasesfield-effect transistorinterfacial engineeringpoint-of-care testing

Identifiers

PMID42078953
PMCPMC13131221

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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.