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Harnessing the power of proteomics in precision diabetes medicine – published online 12/02/2024

Kurgan graphical abstract

Nigel Kurgan, Jeppe Kjærgaard Larsen, Atul S. Deshmukh

High-throughput and robust proteomic technologies have developed rapidly over the past decade. In this issue, Kurgan et al (https://doi.org/10.1007/s00125-024-06097-5) propel proteomics to the forefront of advancing precision diabetes medicine. They summarise recent advances in cutting-edge MS-based and affinity proteomic technologies and describe how they can be applied to improve accuracy in the prevention, diagnosis, prognosis and treatment of diabetes. The authors present a compelling case for proteomics in identifying predictive protein panels for type 2 diabetes subtyping and constructing clinical prediction models. Moreover, they underscore the significance of integrating proteomics with multimodal data, including genomics (proteogenomics) and clinical information, to deepen our understanding of the heterogeneity in type 2 diabetes aetiology and treatment responsiveness. The authors conclude with a call for action formed on advancing proteomics technologies, benchmarking their performance and standardising technologies across sites. The figures from this review are available as a downloadable slideset.

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