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Clustering & biomarkers

Organ dysfunction

Regulatory & economics

Assessing risk and progression of pre-diabetes and type 2 diabetes to enable disease modification

The stated goal of RHAPSODY is to define a molecular taxonomy of type 2 diabetes mellitus (T2D) that will support patient segmentation, inform clinical trial design, and the establishment of regulatory paths for the adoption of novel strategies for diabetes prevention and treatment.

Our plans are built upon:

access to large European cohorts with comprehensive genetic analyses, rich longitudinal clinical, biochemical data and samples
detailed multi-omic maps of key T2D-relevant tissues and organs
large expertise in the development and use of novel genetic, epigenetic, biochemical and physiological experimental approaches
the ability to combine existing and novel data sets through effective data federation and use of these datasets in systems biology approaches towards precision medicine;
expertise in regulatory approval, health economics and patient engagement.

These activities will lead to the discovery of novel biomarkers for improved T2D taxonomy, to support development of pharmaceutical activities, and for use in precision medicine to improve health in Europe and worldwide.

Summary for publication

RHAPSODY produces annual publishable reports which describe the project achievements. They are public and and the latest can be downloaded by clicking on the link below.

Second Summary for Publication

Project Flyer

The RHAPSODY project flyer describes the project at a glance. It is mainly intended as a printed product but its electronic version is available for download.

Publication in Diabetes, Obesity and Metabolism on prediction of mortality and major cardiovascular complicationsin type 2 diabetes

New publication, reporting work on the @IMI_Rhapsody project: External validation of UKPDS Outcomes Model V2 in two European observational » Read more

RHAPSODY project new webpages

Learn about the latest research into Precision Therapy and Prevention of #Diabetes on the brand new Rhapsody project webpages @IMI_JU » Read more

Presentation of RHAPSODY in Endocrinology, Diabetes & Metabolism

"RHAPSODY, Biomarkers and Novel Clinical Trial design in type 2 diabetes (T2D) and prediabetes", a collaborative work between Janssen and » Read more

Most recent publications

See all publications

1.

López–Noriega, L. & Rutter, G. A.

Long Non-Coding RNAs as Key Modulators of Pancreatic β-Cell Mass and Function.

Frontiers in Endocrinology 11, 610213 (2021). doi: 10.3389/fendo.2020.610213

2.

Müller, A., Schmidt, D., Xu, C. S., Pang, S., D’Costa, J. V., Kretschmar, S., Münster, C., Kurth, T., Jug, F., Weigert, M., Hess, H. F. & Solimena, M.

3D FIB-SEM reconstruction of microtubule–organelle interaction in whole primary mouse β cells.

Journal of Cell Biology 220, e202010039 (2021). doi: 10.1083/jcb.202010039

3.

Nguyen-Tu, M.-S., Martinez-Sanchez, A., Leclerc, I., Rutter, G. A. & da Silva Xavier, G.

Adipocyte-specific deletion of Tcf7l2 induces dysregulated lipid metabolism and impairs glucose tolerance in mice.

Diabetologia 64, 129–141 (2021). doi: 10.1007/s00125-020-05292-4

4.

Bosi, E., Marselli, L., De Luca, C., Suleiman, M., Tesi, M., Ibberson, M., Eizirik, D. L., Cnop, M. & Marchetti, P.

Integration of single-cell datasets reveals novel transcriptomic signatures of β-cells in human type 2 diabetes.

NAR genomics and bioinformatics 2, lqaa097 (2020). doi: 10.1093/nargab/lqaa097

5.

Dragan, I., Sparso, T., Kuznetsov, D., Slieker, R. & Ibberson, M.

dsSwissKnife: An R package for federated data analysis.

bioRxiv 2020.11.17.386813 (2020). doi: 10.1101/2020.11.17.386813

6.

Wagner, R., Jaghutriz, B. A., Gerst, F., Barroso Oquendo, M., Machann, J., Schick, F., Löffler, M. W., Nadalin, S., Fend, F., Königsrainer, A., Peter, A., Siegel-Axel, D., Ullrich, S., Häring, H.-U., Fritsche, A. & Heni, M.

Pancreatic Steatosis Associates With Impaired Insulin Secretion in Genetically Predisposed Individuals.

The Journal of Clinical Endocrinology & Metabolism 105, dgaa435 (2020). doi: 10.1210/clinem/dgaa435

7.

Hu, M., Cherkaoui, I., Misra, S. & Rutter, G. A.

Functional Genomics in Pancreatic β Cells: Recent Advances in Gene Deletion and Genome Editing Technologies for Diabetes Research.

Frontiers in Endocrinology 11, 576–632 (2020). doi: 10.3389/fendo.2020.576632

8.

Muniangi-Muhitu, H., Akalestou, E., Salem, V., Misra, S., Oliver, N. S. & Rutter, G. A.

Covid-19 and Diabetes: A Complex Bidirectional Relationship.

Frontiers in Endocrinology 11, 582936 (2020). doi: 10.3389/fendo.2020.582936

9.

Leal, J., Reed, S. D., Patel, R., Rivero-Arias, O., Li, Y., Schulman, K. A., Califf, R. M., Holman, R. R. & Gray, A. M.

Benchmarking the Cost-Effectiveness of Interventions Delaying Diabetes: A Simulation Study Based on NAVIGATOR Data.

Diabetes Care 43, 2485–2492 (2020). doi: 10.2337/dc20-0717

10.

Vasiljević, J., Torkko, J. M., Knoch, K.-P. & Solimena, M.

The making of insulin in health and disease.

Diabetologia 63, 1981–1989 (2020). doi: 10.1007/s00125-020-05192-7

1.

López–Noriega, L. & Rutter, G. A.

Long Non-Coding RNAs as Key Modulators of Pancreatic β-Cell Mass and Function.

Frontiers in Endocrinology 11, 610213 (2021). doi: 10.3389/fendo.2020.610213

2.

Müller, A., Schmidt, D., Xu, C. S., Pang, S., D’Costa, J. V., Kretschmar, S., Münster, C., Kurth, T., Jug, F., Weigert, M., Hess, H. F. & Solimena, M.

3D FIB-SEM reconstruction of microtubule–organelle interaction in whole primary mouse β cells.

Journal of Cell Biology 220, e202010039 (2021). doi: 10.1083/jcb.202010039

3.

Nguyen-Tu, M.-S., Martinez-Sanchez, A., Leclerc, I., Rutter, G. A. & da Silva Xavier, G.

Adipocyte-specific deletion of Tcf7l2 induces dysregulated lipid metabolism and impairs glucose tolerance in mice.

Diabetologia 64, 129–141 (2021). doi: 10.1007/s00125-020-05292-4

4.

Bosi, E., Marselli, L., De Luca, C., Suleiman, M., Tesi, M., Ibberson, M., Eizirik, D. L., Cnop, M. & Marchetti, P.

Integration of single-cell datasets reveals novel transcriptomic signatures of β-cells in human type 2 diabetes.

NAR genomics and bioinformatics 2, lqaa097 (2020). doi: 10.1093/nargab/lqaa097

5.

Dragan, I., Sparso, T., Kuznetsov, D., Slieker, R. & Ibberson, M.

dsSwissKnife: An R package for federated data analysis.

bioRxiv 2020.11.17.386813 (2020). doi: 10.1101/2020.11.17.386813

6.

Wagner, R., Jaghutriz, B. A., Gerst, F., Barroso Oquendo, M., Machann, J., Schick, F., Löffler, M. W., Nadalin, S., Fend, F., Königsrainer, A., Peter, A., Siegel-Axel, D., Ullrich, S., Häring, H.-U., Fritsche, A. & Heni, M.

Pancreatic Steatosis Associates With Impaired Insulin Secretion in Genetically Predisposed Individuals.

The Journal of Clinical Endocrinology & Metabolism 105, dgaa435 (2020). doi: 10.1210/clinem/dgaa435

7.

Hu, M., Cherkaoui, I., Misra, S. & Rutter, G. A.

Functional Genomics in Pancreatic β Cells: Recent Advances in Gene Deletion and Genome Editing Technologies for Diabetes Research.

Frontiers in Endocrinology 11, 576–632 (2020). doi: 10.3389/fendo.2020.576632

8.

Muniangi-Muhitu, H., Akalestou, E., Salem, V., Misra, S., Oliver, N. S. & Rutter, G. A.

Covid-19 and Diabetes: A Complex Bidirectional Relationship.

Frontiers in Endocrinology 11, 582936 (2020). doi: 10.3389/fendo.2020.582936

9.

Leal, J., Reed, S. D., Patel, R., Rivero-Arias, O., Li, Y., Schulman, K. A., Califf, R. M., Holman, R. R. & Gray, A. M.

Benchmarking the Cost-Effectiveness of Interventions Delaying Diabetes: A Simulation Study Based on NAVIGATOR Data.

Diabetes Care 43, 2485–2492 (2020). doi: 10.2337/dc20-0717

10.

Vasiljević, J., Torkko, J. M., Knoch, K.-P. & Solimena, M.

The making of insulin in health and disease.

Diabetologia 63, 1981–1989 (2020). doi: 10.1007/s00125-020-05192-7

1.

López–Noriega, L. & Rutter, G. A.

Long Non-Coding RNAs as Key Modulators of Pancreatic β-Cell Mass and Function.

Frontiers in Endocrinology 11, 610213 (2021). doi: 10.3389/fendo.2020.610213

2.

Müller, A., Schmidt, D., Xu, C. S., Pang, S., D’Costa, J. V., Kretschmar, S., Münster, C., Kurth, T., Jug, F., Weigert, M., Hess, H. F. & Solimena, M.

3D FIB-SEM reconstruction of microtubule–organelle interaction in whole primary mouse β cells.

Journal of Cell Biology 220, e202010039 (2021). doi: 10.1083/jcb.202010039

3.

Nguyen-Tu, M.-S., Martinez-Sanchez, A., Leclerc, I., Rutter, G. A. & da Silva Xavier, G.

Adipocyte-specific deletion of Tcf7l2 induces dysregulated lipid metabolism and impairs glucose tolerance in mice.

Diabetologia 64, 129–141 (2021). doi: 10.1007/s00125-020-05292-4

4.

Bosi, E., Marselli, L., De Luca, C., Suleiman, M., Tesi, M., Ibberson, M., Eizirik, D. L., Cnop, M. & Marchetti, P.

Integration of single-cell datasets reveals novel transcriptomic signatures of β-cells in human type 2 diabetes.

NAR genomics and bioinformatics 2, lqaa097 (2020). doi: 10.1093/nargab/lqaa097

5.

Dragan, I., Sparso, T., Kuznetsov, D., Slieker, R. & Ibberson, M.

dsSwissKnife: An R package for federated data analysis.

bioRxiv 2020.11.17.386813 (2020). doi: 10.1101/2020.11.17.386813

6.

Wagner, R., Jaghutriz, B. A., Gerst, F., Barroso Oquendo, M., Machann, J., Schick, F., Löffler, M. W., Nadalin, S., Fend, F., Königsrainer, A., Peter, A., Siegel-Axel, D., Ullrich, S., Häring, H.-U., Fritsche, A. & Heni, M.

Pancreatic Steatosis Associates With Impaired Insulin Secretion in Genetically Predisposed Individuals.

The Journal of Clinical Endocrinology & Metabolism 105, dgaa435 (2020). doi: 10.1210/clinem/dgaa435

7.

Hu, M., Cherkaoui, I., Misra, S. & Rutter, G. A.

Functional Genomics in Pancreatic β Cells: Recent Advances in Gene Deletion and Genome Editing Technologies for Diabetes Research.

Frontiers in Endocrinology 11, 576–632 (2020). doi: 10.3389/fendo.2020.576632

8.

Muniangi-Muhitu, H., Akalestou, E., Salem, V., Misra, S., Oliver, N. S. & Rutter, G. A.

Covid-19 and Diabetes: A Complex Bidirectional Relationship.

Frontiers in Endocrinology 11, 582936 (2020). doi: 10.3389/fendo.2020.582936

9.

Leal, J., Reed, S. D., Patel, R., Rivero-Arias, O., Li, Y., Schulman, K. A., Califf, R. M., Holman, R. R. & Gray, A. M.

Benchmarking the Cost-Effectiveness of Interventions Delaying Diabetes: A Simulation Study Based on NAVIGATOR Data.

Diabetes Care 43, 2485–2492 (2020). doi: 10.2337/dc20-0717

10.

Vasiljević, J., Torkko, J. M., Knoch, K.-P. & Solimena, M.

The making of insulin in health and disease.

Diabetologia 63, 1981–1989 (2020). doi: 10.1007/s00125-020-05192-7

1.

López–Noriega, L. & Rutter, G. A.

Long Non-Coding RNAs as Key Modulators of Pancreatic β-Cell Mass and Function.

Frontiers in Endocrinology 11, 610213 (2021). doi: 10.3389/fendo.2020.610213

2.

Müller, A., Schmidt, D., Xu, C. S., Pang, S., D’Costa, J. V., Kretschmar, S., Münster, C., Kurth, T., Jug, F., Weigert, M., Hess, H. F. & Solimena, M.

3D FIB-SEM reconstruction of microtubule–organelle interaction in whole primary mouse β cells.

Journal of Cell Biology 220, e202010039 (2021). doi: 10.1083/jcb.202010039

3.

Nguyen-Tu, M.-S., Martinez-Sanchez, A., Leclerc, I., Rutter, G. A. & da Silva Xavier, G.

Adipocyte-specific deletion of Tcf7l2 induces dysregulated lipid metabolism and impairs glucose tolerance in mice.

Diabetologia 64, 129–141 (2021). doi: 10.1007/s00125-020-05292-4

4.

Bosi, E., Marselli, L., De Luca, C., Suleiman, M., Tesi, M., Ibberson, M., Eizirik, D. L., Cnop, M. & Marchetti, P.

Integration of single-cell datasets reveals novel transcriptomic signatures of β-cells in human type 2 diabetes.

NAR genomics and bioinformatics 2, lqaa097 (2020). doi: 10.1093/nargab/lqaa097

5.

Dragan, I., Sparso, T., Kuznetsov, D., Slieker, R. & Ibberson, M.

dsSwissKnife: An R package for federated data analysis.

bioRxiv 2020.11.17.386813 (2020). doi: 10.1101/2020.11.17.386813

6.

Wagner, R., Jaghutriz, B. A., Gerst, F., Barroso Oquendo, M., Machann, J., Schick, F., Löffler, M. W., Nadalin, S., Fend, F., Königsrainer, A., Peter, A., Siegel-Axel, D., Ullrich, S., Häring, H.-U., Fritsche, A. & Heni, M.

Pancreatic Steatosis Associates With Impaired Insulin Secretion in Genetically Predisposed Individuals.

The Journal of Clinical Endocrinology & Metabolism 105, dgaa435 (2020). doi: 10.1210/clinem/dgaa435

7.

Hu, M., Cherkaoui, I., Misra, S. & Rutter, G. A.

Functional Genomics in Pancreatic β Cells: Recent Advances in Gene Deletion and Genome Editing Technologies for Diabetes Research.

Frontiers in Endocrinology 11, 576–632 (2020). doi: 10.3389/fendo.2020.576632

8.

Muniangi-Muhitu, H., Akalestou, E., Salem, V., Misra, S., Oliver, N. S. & Rutter, G. A.

Covid-19 and Diabetes: A Complex Bidirectional Relationship.

Frontiers in Endocrinology 11, 582936 (2020). doi: 10.3389/fendo.2020.582936

9.

Leal, J., Reed, S. D., Patel, R., Rivero-Arias, O., Li, Y., Schulman, K. A., Califf, R. M., Holman, R. R. & Gray, A. M.

Benchmarking the Cost-Effectiveness of Interventions Delaying Diabetes: A Simulation Study Based on NAVIGATOR Data.

Diabetes Care 43, 2485–2492 (2020). doi: 10.2337/dc20-0717

10.

Vasiljević, J., Torkko, J. M., Knoch, K.-P. & Solimena, M.

The making of insulin in health and disease.

Diabetologia 63, 1981–1989 (2020). doi: 10.1007/s00125-020-05192-7

1.

López–Noriega, L. & Rutter, G. A.

Long Non-Coding RNAs as Key Modulators of Pancreatic β-Cell Mass and Function.

Frontiers in Endocrinology 11, 610213 (2021). doi: 10.3389/fendo.2020.610213

2.

Müller, A., Schmidt, D., Xu, C. S., Pang, S., D’Costa, J. V., Kretschmar, S., Münster, C., Kurth, T., Jug, F., Weigert, M., Hess, H. F. & Solimena, M.

3D FIB-SEM reconstruction of microtubule–organelle interaction in whole primary mouse β cells.

Journal of Cell Biology 220, e202010039 (2021). doi: 10.1083/jcb.202010039

3.

Nguyen-Tu, M.-S., Martinez-Sanchez, A., Leclerc, I., Rutter, G. A. & da Silva Xavier, G.

Adipocyte-specific deletion of Tcf7l2 induces dysregulated lipid metabolism and impairs glucose tolerance in mice.

Diabetologia 64, 129–141 (2021). doi: 10.1007/s00125-020-05292-4

4.

Bosi, E., Marselli, L., De Luca, C., Suleiman, M., Tesi, M., Ibberson, M., Eizirik, D. L., Cnop, M. & Marchetti, P.

Integration of single-cell datasets reveals novel transcriptomic signatures of β-cells in human type 2 diabetes.

NAR genomics and bioinformatics 2, lqaa097 (2020). doi: 10.1093/nargab/lqaa097

5.

Dragan, I., Sparso, T., Kuznetsov, D., Slieker, R. & Ibberson, M.

dsSwissKnife: An R package for federated data analysis.

bioRxiv 2020.11.17.386813 (2020). doi: 10.1101/2020.11.17.386813

6.

Wagner, R., Jaghutriz, B. A., Gerst, F., Barroso Oquendo, M., Machann, J., Schick, F., Löffler, M. W., Nadalin, S., Fend, F., Königsrainer, A., Peter, A., Siegel-Axel, D., Ullrich, S., Häring, H.-U., Fritsche, A. & Heni, M.

Pancreatic Steatosis Associates With Impaired Insulin Secretion in Genetically Predisposed Individuals.

The Journal of Clinical Endocrinology & Metabolism 105, dgaa435 (2020). doi: 10.1210/clinem/dgaa435

7.

Hu, M., Cherkaoui, I., Misra, S. & Rutter, G. A.

Functional Genomics in Pancreatic β Cells: Recent Advances in Gene Deletion and Genome Editing Technologies for Diabetes Research.

Frontiers in Endocrinology 11, 576–632 (2020). doi: 10.3389/fendo.2020.576632

8.

Muniangi-Muhitu, H., Akalestou, E., Salem, V., Misra, S., Oliver, N. S. & Rutter, G. A.

Covid-19 and Diabetes: A Complex Bidirectional Relationship.

Frontiers in Endocrinology 11, 582936 (2020). doi: 10.3389/fendo.2020.582936

9.

Leal, J., Reed, S. D., Patel, R., Rivero-Arias, O., Li, Y., Schulman, K. A., Califf, R. M., Holman, R. R. & Gray, A. M.

Benchmarking the Cost-Effectiveness of Interventions Delaying Diabetes: A Simulation Study Based on NAVIGATOR Data.

Diabetes Care 43, 2485–2492 (2020). doi: 10.2337/dc20-0717

10.

Vasiljević, J., Torkko, J. M., Knoch, K.-P. & Solimena, M.

The making of insulin in health and disease.

Diabetologia 63, 1981–1989 (2020). doi: 10.1007/s00125-020-05192-7

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This project receives funding from the Innovative Medicines Initiative 2 Joint Undertaking (www.imi.europa.eu) under grant agreement No 115881. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA.

This work is supported by the Swiss State Secretariat for Education‚ Research and Innovation (SERI) under contract number 16.0097-2.

The opinions expressed and arguments employed herein do not necessarily reflect the official views of these funding bodies.

About Horizon 2020

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