Evidence map›Paper›PMID 39566683›Full record

ArticleThe American journal of clinical nutrition2025

Proteomic analysis identifies novel biological pathways that may link dietary quality to type 2 diabetes risk: evidence from African American and Asian cohorts.

Charlie Gy Lim, Vlad Gradinariu, Yujian Liang, Casey M Rebholz, Sameera Talegawkar, Marinella Temprosa, Yuan-I Min, Xueling Sim, James G Wilson, Rob M van Dam

Abstract read
In one paragraph

Article in The American journal of clinical nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Proteomics for precision nutrition: current evidence and future directions.Current opinion in clinical nutrition and metabolic care · 2026
    Review
  2. Proteomic Markers of Dietary Patterns, CKD Progression, and Mortality in the CRIC Study.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  3. Review
  4. Plasma Proteomic Profile of Dietary Potassium and Incident CKD.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  5. 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.

Charlie Gy LimSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore. Electronic address: clgy@nus.edu.sg.
Vlad GradinariuDepartments of Exercise and Nutrition Sciences and Epidemiology, Milken Institute School of Public Health, The George Washington University, Newark, Washington, DC, United States.
Yujian LiangSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Casey M RebholzDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Sameera TalegawkarBiostatistics Center and Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD, United States.
Marinella TemprosaBiostatistics Center and Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD, United States.
Yuan-I MinDepartment of Medicine, University of Mississippi Medical Center, Jackson Medical Mall, Jackson, MS, United States.
Xueling SimSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
James G WilsonDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Rob M van DamSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Departments of Exercise and Nutrition Sciences and Epidemiology, Milken Institute School of Public Health, The George Washington University, Newark, Washington, DC, United States. Electronic address: rvandam@gwu.edu.

Funding

NHLBI NIH HHS HHSN268201800010INHLBI NIH HHS HHSN268201800011INHLBI NIH HHS HHSN268201800012INHLBI NIH HHS HHSN268201800014INHLBI NIH HHS HHSN268201800015INIMHD NIH HHS HHSN268201800013I
6 · The paper itself

Abstract

backgroundDiet affects the development of chronic diseases such as type 2 diabetes, but the underlying biological mechanisms are only partly understood.

objectivesThis study aimed to identify proteomic markers of the Alternative Healthy Eating Index (AHEI) and the Dietary Approaches to Stop Hypertension (DASH) diet and their association with type 2 diabetes risk.

methodsWe examined the associations between the AHEI and DASH diet quality scores and 1317 plasma proteins in African American participants of the Jackson Heart Study (JHS, n = 1878). These findings were validated in a Singapore Multi-Ethnic Cohort (n = 2395) and examined in relation to type 2 diabetes incidence (n = 539 cases). We adjusted for multiple testing by using false discovery rate-adjusted q values.

resultsWe identified 13 proteins consistently associated with the AHEI or DASH scores with the strongest associations for the AHEI score and epidermal growth factor receptor (β:0.089; SE: 0.017; q < 0.001) and for the DASH score and tissue factor (β: -0.114; SE: 0.022; q < 0.001). Most of these proteins were related to inflammation, thrombosis, adipogenesis, and glucose metabolism. Concentrations of myeloperoxidase, epidermal growth factor receptor, hepatocyte growth factor receptor, coagulation factor Xa, contactin 4, kynureninase, neurogenic locus notch homolog protein 1, and vesicular integral-membrane protein VIP36 were associated with the risk of type 2 diabetes in the Asian cohort. The diabetes odds ratio for a 2-fold higher protein abundance concentration ranged from 0.03 (95% CI: 0.01, 0.08) for neurogenic locus notch homolog protein 1 to 3.04 (95% CI: 2.13, 4.33) for kynureninase. Furthermore, genetic markers for myeloperoxidase and hepatocyte growth factor receptor were significantly associated with diabetes risk.

conclusionsOur study across geographically and ethnically diverse populations identified robust protein biomarkers for healthy dietary patterns. Furthermore, our findings suggest novel biological mechanisms linking dietary patterns with type 2 diabetes development.

Indexed as

Black or African AmericanDiabetes Mellitus, Type 2ProteomicsAdultAgedAsianBiomarkersCohort StudiesDietDietary Approaches To Stop HypertensionDiet, HealthyFemaleHumansMaleMiddle AgedRisk FactorsBiomarkersAlternative Healthy Eating IndexDietary Approaches to Stop Hypertensiondietary patternsproteomicsSomaScantype 2 diabetes

Identifiers

PMID39566683
PMCPMC11747191

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Registered trials

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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.