Evidence map›Paper›PMID 40087642›Full record

ArticleCardiovascular diabetology2025

Proteomic signatures of type 2 diabetes predict the incidence of coronary heart disease.

Yujian Li, Dun Li, Jing Lin, Lihui Zhou, Weiling Yang, Xin Yin, Chenjie Xu, Zhi Cao, Yaogang Wang

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Yujian LiSchool of Public Health, Tianjin Medical University, Tianjin, 300070, China.
Dun LiSchool of Public Health, Tianjin Medical University, Tianjin, 300070, China.
Jing LinSchool of Public Health, Tianjin Medical University, Tianjin, 300070, China.
Lihui ZhouSchool of Public Health, Tianjin Medical University, Tianjin, 300070, China.
Weiling YangSchool of Public Health, Tianjin Medical University, Tianjin, 300070, China.
Xin YinSchool of Public Health, Tianjin Medical University, Tianjin, 300070, China.
Chenjie XuSchool of Public Health, Hangzhou Normal University, Hangzhou, 311121, China.
Zhi CaoDepartment of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China. caozhi@zju.edu.cn.
Yaogang WangSchool of Public Health, Tianjin Medical University, Tianjin, 300070, China. YaogangWANG@tmu.edu.cn.

Funding

Major Science and Technology Project of Public Health in Tianjin 21ZXGWSY00090Scientific Research Foundation for Scholars of HZNU 4265C50221204119Special Program of the National Natural Science Foundation of China 72342017
6 · The paper itself

Abstract

Emerging evidence reveals a complex association between type 2 diabetes (T2D) and coronary heart disease (CHD), which share common risk factors and biological pathways. This study aims to identify the shared proteomic signatures of T2D and CHD, as well as whether the shared proteins predict incident CHD in T2D patients, and to develop predictive models. Utilizing data from 53,014 UK Biobank participants and 2923 plasma proteins, we identified 488 proteins associated with T2D, of which 125 proteins were also associated with CHD. Among the shared proteins, we determine nine proteins showing causal associations with CHD, including PCSK9, NRP1, and CD27. Mediation analyses suggest that the nine proteins mediate the association between T2D and CHD. By integrating these proteins into our predictive model, we achieved a desirable prediction (AUC = 0.819) for future CHD onset in T2D patients. Additionally, druggability evaluation show 32 potential therapeutic agents, including established antihypertensives and nine novel compounds, suggesting avenues for dual-targeted treatment strategies. Collectively, our findings unveil the proteomic signatures associated with both T2D and CHD, providing implications for screening and predicting future CHD onset in T2D patients.

Indexed as

Blood ProteinsCoronary DiseaseDiabetes Mellitus, Type 2ProteomicsAgedBiomarkersFemaleHumansIncidenceMaleMiddle AgedPredictive Value of TestsPrognosisRisk AssessmentRisk FactorsUnited KingdomBiomarkersBlood ProteinsCoronary heart diseaseMendelian randomizationPredictive modelProteomicTherapeutic drugsType 2 diabetes

Identifiers

PMID40087642
PMCPMC11909814

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.