"Open discovery of metabolic targets for therapeutic intervention in kidney disease"


Aim

The aim of the KidDO project was bipartite: First, the team identified metabolites that can predict progression of chronic kidney disease (CKD). Second, they also studied how the interplay between metabolites and proteins within the kidneys drives this progression.

Approach

The KidDO project focused on changes in metabolites in the kidney during chronic kidney disease. The team used different omics strategies to identify metabolites and proteins that were altered at different stages of CKD, and to see how they interacted and affected the progression of the disease.

The KidDO team also evaluated five different animal models and compared them to human samples using machine learning strategies, with the hope of identifying which model system most closely resembles the human disease.

Outcome

During the project (2021–2023), the KidDO team identified metabolites, proteins, and genes consistently altered in chronic kidney disease across human biopsies and experimental models. A key outcome was the development of a large-scale database integrating metabolic and proteomic data, providing a valuable resource for studying disease mechanisms, identifying biomarkers, and supporting future therapeutic development.

On this page, you can watch a video recorded at the beginning of the project. You can also read an article about the project's output and find lists of project participants on the KidDO team.

THE KidDO TEAM


Academic team members

  • Robert Fenton, Professor, Aarhus University
  • Ira Assent, Professor, Aarhus University
  • Markus Rinschen, Assoc. Professor, Aarhus University
  • Ken Howard, Assoc. Professor, Aarhus University
  • Qi Wu, Assoc. Professor, Aarhus University
  • Anja Billing, Assist. Professor, Aarhus University

Industrial team member

  • Pernille Lærkegaard Hansen, AstraZeneca

"Linking academic researchers with industry opens up new opportunities for collaborative research in kidney disease. The links to industry also provide a direct possibility for pharmaceutical exploitation of novel results.”

 

Robert Fenton, Head of the KidDO project


"We hope that the open approach will be valuable for researchers around the world as they can use our data for both model selection and they can also ‘cherry pick’ metabolites and proteins to examine in their own targeted research.”

 

Robert Fenton, Head of the KidDO project




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