Deciphering the Plasma Proteome of Type 2 Diabetes

Author:

Elhadad Mohamed A.123ORCID,Jonasson Christian45,Huth Cornelia26ORCID,Wilson Rory12,Gieger Christian126,Matias Pamela123,Grallert Harald126,Graumann Johannes78,Gailus-Durner Valerie9,Rathmann Wolfgang610,von Toerne Christine11ORCID,Hauck Stefanie M.11,Koenig Wolfgang31213,Sinner Moritz F.314,Oprea Tudor I.151617,Suhre Karsten18,Thorand Barbara26ORCID,Hveem Kristian45,Peters Annette23619,Waldenberger Melanie123ORCID

Affiliation:

1. Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany

2. Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany

3. German Research Center for Cardiovascular Disease (DZHK), Partner Site Munich Heart Alliance, Munich, Germany

4. K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health, Norwegian University of Science and Technology, Trondheim, Norway

5. HUNT Research Center, Department of Public Health, Norwegian University of Science and Technology, Levanger, Norway

6. German Center for Diabetes Research (DZD), München-Neuherberg, Germany

7. Biomolecular Mass Spectrometry, Max Planck Institute for Heart and Lung Research, Bad Nauheim, Germany

8. The German Centre for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Max Planck Institute for Heart and Lung Research, Bad Nauheim, Germany

9. German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany

10. Institute of Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany

11. Research Unit Protein Science, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany

12. Deutsches Herzzentrum München, Technische Universitat München, Munich, Germany

13. Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany

14. Department of Medicine I, University Hospital Munich, Ludwig Maximilian University, Munich, Germany

15. Department of Internal Medicine and UNM Comprehensive Cancer Center, University of New Mexico School of Medicine, Albuquerque, NM

16. Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden

17. Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark

18. Department of Biophysics and Physiology, Weill Cornell Medicine - Qatar, Education City, Doha, Qatar

19. Institute of Medical Information Sciences, Biometry and Epidemiology, Ludwig Maximilian University, Munich, Germany

Abstract

With an estimated prevalence of 463 million affected, type 2 diabetes represents a major challenge to health care systems worldwide. Analyzing the plasma proteomes of individuals with type 2 diabetes may illuminate hitherto unknown functional mechanisms underlying disease pathology. We assessed the associations between type 2 diabetes and >1,000 plasma proteins in the Cooperative Health Research in the Region of Augsburg (KORA) F4 cohort (n = 993, 110 cases), with subsequent replication in the third wave of the Nord-Trøndelag Health Study (HUNT3) cohort (n = 940, 149 cases). We computed logistic regression models adjusted for age, sex, BMI, smoking status, and hypertension. Additionally, we investigated associations with incident type 2 diabetes and performed two-sample bidirectional Mendelian randomization (MR) analysis to prioritize our results. Association analysis of prevalent type 2 diabetes revealed 24 replicated proteins, of which 8 are novel. Proteins showing association with incident type 2 diabetes were aminoacylase-1, growth hormone receptor, and insulin-like growth factor–binding protein 2. Aminoacylase-1 was associated with both prevalent and incident type 2 diabetes. MR analysis yielded nominally significant causal effects of type 2 diabetes on cathepsin Z and rennin, both known to have roles in the pathophysiological pathways of cardiovascular disease, and of sex hormone–binding globulin on type 2 diabetes. In conclusion, our high-throughput proteomics study replicated previously reported type 2 diabetes–protein associations and identified new candidate proteins possibly involved in the pathogenesis of type 2 diabetes.

Funder

Helmholtz Zentrum München – German Research Center for Environmental Health

State of Bavaria

Deutsche Forschungsgemeinschaft

Bundesministerium für Bildung und Forschung

Qatar Foundation

Norwegian Ministry of Health

Norges Teknisk-Naturvitenskapelige Universitet,

Norges Forskningsråd

Helse Midt-Norge

Nord-Trøndelag County Council

Norwegian Institute of Public Health

Deutsches Zentrum für Herz-Kreislaufforschung

National Institutes of Health

Qatar National Research Fund

Publisher

American Diabetes Association

Subject

Endocrinology, Diabetes and Metabolism,Internal Medicine

Reference57 articles.

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3. Protein markers and risk of type 2 diabetes and prediabetes: a targeted proteomics approach in the KORA F4/FF4 study;Huth;Eur J Epidemiol,2019

4. In search of causal pathways in diabetes: a study using proteomics and genotyping data from a cross-sectional study;Beijer;Diabetologia,2019

5. Protein biomarkers for insulin resistance and type 2 diabetes risk in two large community cohorts;Nowak;Diabetes,2016

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