Literature DB >> 32928870

Deciphering the Plasma Proteome of Type 2 Diabetes.

Mohamed A Elhadad1,2,3, Christian Jonasson4,5, Cornelia Huth2,6, Rory Wilson7,2, Christian Gieger7,2,6, Pamela Matias7,2,3, Harald Grallert7,2,6, Johannes Graumann8,9, Valerie Gailus-Durner10, Wolfgang Rathmann6,11, Christine von Toerne12, Stefanie M Hauck12, Wolfgang Koenig3,13,14, Moritz F Sinner3,15, Tudor I Oprea16,17,18, Karsten Suhre19, Barbara Thorand2,6, Kristian Hveem4,5, Annette Peters2,3,6,20, Melanie Waldenberger1,2,3.   

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.
© 2020 by the American Diabetes Association.

Entities:  

Year:  2020        PMID: 32928870      PMCID: PMC7679779          DOI: 10.2337/db20-0296

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  52 in total

1.  Transforming growth factor beta contributes to progressive diabetic nephropathy.

Authors:  W B Reeves; T E Andreoli
Journal:  Proc Natl Acad Sci U S A       Date:  2000-07-05       Impact factor: 11.205

Review 2.  Global aetiology and epidemiology of type 2 diabetes mellitus and its complications.

Authors:  Yan Zheng; Sylvia H Ley; Frank B Hu
Journal:  Nat Rev Endocrinol       Date:  2017-12-08       Impact factor: 43.330

3.  Antidiabetic effects of IGFBP2, a leptin-regulated gene.

Authors:  Kristina Hedbacker; Kivanç Birsoy; Robert W Wysocki; Esra Asilmaz; Rexford S Ahima; I Sadaf Farooqi; Jeffrey M Friedman
Journal:  Cell Metab       Date:  2010-01       Impact factor: 27.287

4.  Circulating Wnt inhibitory factor 1 levels are associated with development of cardiovascular disease.

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Journal:  Atherosclerosis       Date:  2018-03-29       Impact factor: 5.162

5.  Mendelian randomization analysis with multiple genetic variants using summarized data.

Authors:  Stephen Burgess; Adam Butterworth; Simon G Thompson
Journal:  Genet Epidemiol       Date:  2013-09-20       Impact factor: 2.135

6.  Plasma gelsolin levels decrease in diabetic state and increase upon treatment with F-actin depolymerizing versions of gelsolin.

Authors:  Neeraj Khatri; Amin Sagar; Nagesh Peddada; Vikas Choudhary; Bhupinder Singh Chopra; Veena Garg; Renu Garg
Journal:  J Diabetes Res       Date:  2014-11-12       Impact factor: 4.011

7.  The MR-Base platform supports systematic causal inference across the human phenome.

Authors:  Gibran Hemani; Jie Zheng; Benjamin Elsworth; Tom R Gaunt; Philip C Haycock; Kaitlin H Wade; Valeriia Haberland; Denis Baird; Charles Laurin; Stephen Burgess; Jack Bowden; Ryan Langdon; Vanessa Y Tan; James Yarmolinsky; Hashem A Shihab; Nicholas J Timpson; David M Evans; Caroline Relton; Richard M Martin; George Davey Smith
Journal:  Elife       Date:  2018-05-30       Impact factor: 8.140

8.  Validation of the German Diabetes Risk Score among the general adult population: findings from the German Health Interview and Examination Surveys.

Authors:  Rebecca Paprott; Kristin Mühlenbruch; Gert B M Mensink; Silke Thiele; Matthias B Schulze; Christa Scheidt-Nave; Christin Heidemann
Journal:  BMJ Open Diabetes Res Care       Date:  2016-11-21

9.  Protein markers and risk of type 2 diabetes and prediabetes: a targeted proteomics approach in the KORA F4/FF4 study.

Authors:  Cornelia Huth; Christine von Toerne; Florian Schederecker; Tonia de Las Heras Gala; Christian Herder; Florian Kronenberg; Christa Meisinger; Wolfgang Rathmann; Wolfgang Koenig; Melanie Waldenberger; Michael Roden; Annette Peters; Stefanie M Hauck; Barbara Thorand
Journal:  Eur J Epidemiol       Date:  2018-12-31       Impact factor: 8.082

10.  The Gene Ontology Resource: 20 years and still GOing strong.

Authors: 
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

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  6 in total

1.  High-Resolution Computer Tomography Image Features of Lungs for Patients with Type 2 Diabetes under the Faster-Region Recurrent Convolutional Neural Network Algorithm.

Authors:  Yumei He; Juan Tan; Xiuping Han
Journal:  Comput Math Methods Med       Date:  2022-04-25       Impact factor: 2.809

2.  Insulin Receptor Genetic Variants Causal Association with Type 2 Diabetes: A Mendelian Randomization Study.

Authors:  Ghada A Soliman; C Mary Schooling
Journal:  Curr Dev Nutr       Date:  2022-03-29

3.  Plasma proteomics reveals an improved cardio-metabolic profile in patients with type 2 diabetes post-liraglutide treatment.

Authors:  Aishah A Ekhzaimy; Afshan Masood; Hicham Benabdelkamel; Tasnem Elhassan; Mohthash Musambil; Assim A Alfadda
Journal:  Diab Vasc Dis Res       Date:  2022 May-Jun       Impact factor: 3.541

4.  Epigenetic scores for the circulating proteome as tools for disease prediction.

Authors:  Danni A Gadd; Robert F Hillary; Daniel L McCartney; Shaza B Zaghlool; Anna J Stevenson; Yipeng Cheng; Chloe Fawns-Ritchie; Cliff Nangle; Archie Campbell; Robin Flaig; Sarah E Harris; Rosie M Walker; Liu Shi; Elliot M Tucker-Drob; Christian Gieger; Annette Peters; Melanie Waldenberger; Johannes Graumann; Allan F McRae; Ian J Deary; David J Porteous; Caroline Hayward; Peter M Visscher; Simon R Cox; Kathryn L Evans; Andrew M McIntosh; Karsten Suhre; Riccardo E Marioni
Journal:  Elife       Date:  2022-01-13       Impact factor: 8.140

5.  Plasma Proteomics of Renal Function: A Trans-ethnic Meta-analysis and Mendelian Randomization Study.

Authors:  Pamela Matías-García; Rory Wilson; Qi Guo; Shaza Zaghlool; James Eales; Xiaoguang Xu; Fadi Charchar; John Dormer; Haifa Maalmi; Pascal Schlosser; Mohamed Elhadad; Jana Nano; Sapna Sharma; Annette Peters; Alessia Fornoni; Dennis Mook-Kanamori; Juliane Winkelmann; John Danesh; Emanuele Di Angelantonio; Willem Ouwehand; Nicholas Watkins; David Roberts; Agnese Petrera; Johannes Graumann; Wolfgang Koenig; Kristian Hveem; Christian Jonasson; Anna Köttgen; Adam Butterworth; Marco Prunotto; Stefanie Hauck; Christian Herder; Karsten Suhre; Christian Gieger; Maciej Tomaszewski; Alexander Teumer; Melanie Waldenberger
Journal:  J Am Soc Nephrol       Date:  2021-06-16       Impact factor: 14.978

6.  A Panel of 6 Biomarkers Significantly Improves the Prediction of Type 2 Diabetes in the MONICA/KORA Study Population.

Authors:  Barbara Thorand; Astrid Zierer; Mustafa Büyüközkan; Jan Krumsiek; Alina Bauer; Florian Schederecker; Julie Sudduth-Klinger; Christa Meisinger; Harald Grallert; Wolfgang Rathmann; Michael Roden; Annette Peters; Wolfgang Koenig; Christian Herder; Cornelia Huth
Journal:  J Clin Endocrinol Metab       Date:  2021-03-25       Impact factor: 5.958

  6 in total

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