Deep serum proteomics reveal biomarkers and causal candidates for type 2 diabetes

Valborg Gudmundsdottir, Valur Emilsson, Thor Aspelund, Marjan Ilkov, Elias F Gudmundsson, Nuno R Zilhão, John R Lamb, Lori L Jennings and Vilmundur Gudnason

Thumb 65bb0659497b85bae0759dc2a6b4b5db 400x400
Jun 06, 2019

Received Date: 8th May 19

The prevalence of type 2 diabetes mellitus (T2DM) is expected to increase rapidly in the next decades, posing a major challenge to societies worldwide. The emerging era of precision medicine calls for the discovery of biomarkers of clinical value for prediction of disease onset, where causal biomarkers can furthermore provide actionable targets. Blood-based factors like serum proteins are in contact with every organ in the body to mediate global homeostasis and may thus directly regulate complex processes such as aging and the development of common chronic diseases. We applied a data-driven proteomics approach measuring serum levels of 4,137 proteins in 5,438 Icelanders to discover novel biomarkers for incident T2DM and describe the serum protein profile of prevalent T2DM. We identified 536 proteins associated with incident or prevalent T2DM. Through LASSO penalized logistic regression analysis combined with bootstrap resampling, a panel of 20 protein biomarkers that accurately predicted incident T2DM was identified with a significant incremental improvement over traditional risk factors. Finally, a Mendelian randomization analysis provided support for a causal role of 48 proteins in the development of T2DM, which could be of particular interest as novel therapeutic targets.

Read in full at bioRxiv.

This is an abstract of a preprint hosted on an independent third party site. It has not been peer reviewed but is currently under consideration at Nature Communications.

Medium 65bb0659497b85bae0759dc2a6b4b5db 400x400

Nature Communications

Nature Research, Springer Nature