ArticleEuropean journal of epidemiology2019
Protein markers and risk of type 2 diabetes and prediabetes: a targeted proteomics approach in the KORA F4/FF4 study.
Article in European journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed, 58 citations in OpenAlex.
- Large-scale multi-omics enhance risk prediction for type 2 diabetes.Cardiovascular diabetology · 2026Article
- Selected Emerging Biomarkers in Type 2 Diabetes Mellitus: Clinical Insights and Implications for Precision Care.Medicina (Kaunas, Lithuania) · 2026Review
- Associations of Long-Term Exposure to Temperature Variability with Glucose Metabolism: Results from KORA F4 and FF4.Environmental science & technology · 2025Article
- Harnessing Pharmacomultiomics for Precision Medicine in Diabetes: A Comprehensive Review.Biomedicines · 2025Review
- Longitudinal association between DNA methylation and type 2 diabetes: findings from the KORA F4/FF4 study.Cardiovascular diabetology · 2025Article
- Respiratory rate and its associations with disease and lifestyle factors in the general population - results from the KORA-FF4 study.PloS one · 2025Article
- Multi-omics approaches for biomarker discovery and precision diagnosis of prediabetes.Frontiers in endocrinology · 2025Review
- Identification of proteins associated with type 2 diabetes risk in diverse racial and ethnic populations.Diabetologia · 2024Article
- Blood protein assessment of leading incident diseases and mortality in the UK Biobank.Nature aging · 2024Article
- Proteomic Analyses in Diverse Populations Improved Risk Prediction and Identified New Drug Targets for Type 2 Diabetes.Diabetes care · 2024Article
- Supervised Parametric Learning in the Identification of Composite Biomarker Signatures of Type 1 Diabetes in Integrated Parallel Multi-Omics Datasets.Biomedicines · 2024Article
- Hallmarks of the metabolic secretome.Trends in endocrinology and metabolism: TEM · 2024Review
- Associations of plasma proteomics with type 2 diabetes and related traits: results from the longitudinal KORA S4/F4/FF4 Study.Diabetologia · 2023Article
- Plasma apolipoprotein concentrations and incident diabetes in subjects with prediabetes.Cardiovascular diabetology · 2022Observational
- Association of renin and aldosterone with glucose metabolism in a Western European population: the KORA F4/FF4 study.BMJ open diabetes research & care · 2022Article
- The Complement System in Metabolic-Associated Kidney Diseases.Frontiers in immunology · 2022Review
- Article
- Advances in multi-omics study of biomarkers of glycolipid metabolism disorder.Computational and structural biotechnology journal · 2022Review
- Association of C-Terminal Pro-Endothelin-1 with Mortality in the Population-Based KORA F4 Study.Vascular health and risk management · 2022Article
- Association of apolipoprotein Cs with new-onset type 2 diabetes mellitus: findings from the Chinese multi-provincial cohort study.BMJ open · 2021Article
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Authors and funding
14 authors at 5 institutions in 2 countries.
Funding
Abstract
The objective of the present study was to identify proteins that contribute to pathophysiology and allow prediction of incident type 2 diabetes or incident prediabetes. We quantified 14 candidate proteins using targeted mass spectrometry in plasma samples of the prospective, population-based German KORA F4/FF4 study (6.5-year follow-up). 892 participants aged 42-81 years were selected using a case-cohort design, including 123 persons with incident type 2 diabetes and 255 persons with incident WHO-defined prediabetes. Prospective associations between protein levels and diabetes, prediabetes as well as continuous fasting and 2 h glucose, fasting insulin and insulin resistance were investigated using regression models adjusted for established risk factors. The best predictive panel of proteins on top of a non-invasive risk factor model or on top of HbA1c, age, and sex was selected. Mannan-binding lectin serine peptidase (MASP) levels were positively associated with both incident type 2 diabetes and prediabetes. Adiponectin was inversely associated with incident type 2 diabetes. MASP, adiponectin, apolipoprotein A-IV, apolipoprotein C-II, C-reactive protein, and glycosylphosphatidylinositol specific phospholipase D1 were associated with individual continuous outcomes. The combination of MASP, apolipoprotein E (apoE) and adiponectin improved diabetes prediction on top of both reference models, while prediabetes prediction was improved by MASP plus CRP on top of the HbA1c model. In conclusion, our mass spectrometric approach revealed a novel association of MASP with incident type 2 diabetes and incident prediabetes. In combination, MASP, adiponectin and apoE improved type 2 diabetes prediction beyond non-invasive risk factors or HbA1c, age and sex.
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