Exercise and Prediabetes

Welcome to Olink Proteomics in Proximity Podcast! 

Below are some useful resources from this episode: 

Highlighted publication: Diaz-Canestro C, Chen J, Liu Y, Han H, Wang Y, Honoré E, Lee CH, Lam KSL, Tse MA, Xu A. A machine-learning algorithm integrating baseline serum proteomic signatures predicts exercise responsiveness in overweight males with prediabetes. Cell Rep Med. 2023 Feb 21;4(2):100944. doi: 10.1016/j.xcrm.2023.100944. Epub 2023 Feb 13: https://www.cell.com/cell-reports-medicine/pdf/S2666-3791(23)00036-8.pdf PMID: 36787735; PMCID: PMC9975321: https://pubmed.ncbi.nlm.nih.gov/36787735/ 

Highlighted platform that was used to measure proteins in this study with a next-generation sequencing (NGS) readout (Olink® Explore): https://olink.com/products-services/explore/ 

Here is general information from Wikipedia about IL-6, one of the protein biomarkers identified in this study: https://en.wikipedia.org/wiki/Interleukin_6 

Here is general information from Wikipedia about TFF-2, one of the protein biomarkers identified in this study: https://en.wikipedia.org/wiki/Trefoil_factor_2 

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