Evidence map›Paper›PMID 39842943›Full record

ArticleThe Journal of clinical endocrinology and metabolism2025

Circulating Proteomic Profiles Are Associated With Incident Type 2 Diabetes in Asian Populations.

Yujian Liang, Charlie G Y Lim, Scott C Ritchie, Nicolas Bertin, Jin-Fang Chai, Jiali Yao, Yun Li, E Shyong Tai, Rob M van Dam, Xueling Sim

Abstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Proteomics for precision nutrition: current evidence and future directions.Current opinion in clinical nutrition and metabolic care · 2026
    Review
  4. 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

10 authors.

Yujian LiangSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
Charlie G Y LimSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.ORCID 0000-0002-6709-8722
Scott C RitchieCambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0SR, UK.
Nicolas BertinGenome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore 138672, Singapore.
Jin-Fang ChaiSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
Jiali YaoSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.
Yun LiDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.ORCID 0000-0002-9275-4189
E Shyong TaiSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.ORCID 0000-0003-2929-8966
Rob M van DamSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.ORCID 0000-0002-7354-8734
Xueling SimSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore.ORCID 0000-0002-1233-7642

Funding

BHF Chair Award CH/12/2/29428British Heart Foundation RG/18/13/33946Cambridge BHF Centre of Research Excellence RE/18/1/34212Chief Scientist Office of the Scottish Government Health and Social Care DirectoratesDepartment of Health and Social CareDevelopment Division (Welsh Government)Economic and Social Research CouncilEngineering and Physical Sciences Research CouncilHealth and Social Care ResearchHealth Data Research UKIndustry Alignment Fund H17/01/a0/007Munz Chair of Cardiovascular Prediction and PreventionNational University of SingaporeNIHR Cambridge Biomedical Research Centre NIHR203312Population Health Metric and Analytics PHMAPublic Health Agency (Northern Ireland)UK Medical Research CouncilWellcomeWellcome Trust
6 · The paper itself

Abstract

contextType 2 diabetes (T2D) is a major global concern, with Asia at its epicenter in recent years. Proteins, products of gene transcription, serve as dynamic biomarkers for pinpointing perturbed pathways in disease development. Previous T2D proteomic association studies primarily focused on European populations.

objectiveThe aim of this study was to investigate the relationship between plasma proteins and the incidence of T2D in Asian individuals.

methodsWe examined the association of 4775 plasma proteins with incident T2D in a Singapore multi-ethnic cohort of 1659 Asian individuals (539 cases and 1120 controls) using logistic regression. We used 2-sample mendelian randomization and colocalization analysis to evaluate the causal relationship between proteins and T2D.

resultsOur analysis revealed 522 proteins that were associated with incident T2D after adjusting for age, sex, and ethnicity, and 17 proteins that remained statistically significantly associated after adjusting for other T2D risk factors such as fasting glucose, waist circumference, and triglycerides. Among the 522 proteins associated with incident T2D, the change in 205 plasma proteins, observed in parallel with the development of T2D at baseline and 6-year follow-up, were further associated with incident T2D. The associated proteins showed enrichment in neuron generation, glycosaminoglycan binding, and insulin-like growth factor binding. Two-sample mendelian randomization analysis suggested 3 plasma proteins, GSTA1, INHBC, and FGL1, play causal roles in the development of T2D, with colocalization evidence supporting GSTA1 and INHBC.

conclusionOur findings reveal plasma protein profiles linked to the onset of T2D in Asian populations, offering insights into the biological mechanisms of T2D development.

Indexed as

Blood ProteinsDiabetes Mellitus, Type 2ProteomeAdultAgedAsian PeopleBiomarkersCase-Control StudiesFemaleFollow-Up StudiesHumansIncidenceMaleMendelian Randomization AnalysisMiddle AgedProteomicsBiomarkersBlood ProteinsProteomeasian populationscolocalizationincident type 2 diabeteslongitudinal studymendelian randomizationproteomics

Identifiers

PMID39842943
PMCPMC12448639

What Socratic holds

Textmetadata
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.