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Multimarker Panels in Diabetic Kidney Disease: The Way to Improved Clinical Trial Design and Clinical Practice?
Paul Perco1, Michelle Pena2, Hiddo J L Heerspink2
1Department of Internal Medicine IV (Nephrology and Hypertension), Medical University Innsbruck, Innsbruck, Austria.
Abstract:
Diabetic kidney disease (DKD) is a complex and multifactorial disorder associated with deregulations in a large number of different biological pathways on the molecular level. Using the 2 established biomarkers, estimated glomerular filtration rate (eGFR) and albuminuria will not allow allocating patients to tailored therapy. Molecular multimarker panels as sensors for the deregulation of the various disease mechanisms combined with a better understanding of how investigational as well as approved drugs interfere with these disease processes forms the basis for platform trials in DKD. In these platform trials, patients with DKD are assigned to the most suitable treatment arm based on their molecular marker profile. Close monitoring of biomarkers after treatment initiation together with assessment of renal function and "off-target" effects will allow identification of therapy responders, with nonresponders shifted to the next-best treatment arm based on their molecular profile. In this viewpoint article, we summarize evidence on the variation of DKD disease progression as well as the response to therapy and outline procedures to model disease pathophysiology supporting biomarker panel construction. Finally, the use of biomarkers in clinical trial setup is discussed.
Insights
Diabetic kidney disease (DKD) requires personalized treatment. Molecular marker panels in platform trials can guide tailored therapies by matching patients to optimal treatment arms based on their unique disease profiles.
Area of Science:
- Nephrology
- Molecular Biology
- Clinical Trials
Background:
- Diabetic kidney disease (DKD) is a complex condition with multifactorial molecular pathway deregulation.
- Current biomarkers like eGFR and albuminuria are insufficient for personalized DKD therapy.
- Understanding drug interactions with disease pathways is crucial for DKD treatment.
Purpose of the Study:
- To propose molecular multimarker panels for DKD patient stratification in platform trials.
- To outline methods for modeling DKD pathophysiology to support biomarker panel development.
- To discuss the integration of biomarkers into clinical trial designs for DKD.
Main Methods:
- Reviewing evidence on DKD progression and therapy response variations.
- Developing procedures for modeling DKD pathophysiology.
- Integrating molecular marker profiles for patient assignment in platform trials.
- Monitoring biomarkers and renal function to guide treatment adjustments.
Main Results:
- Molecular panels offer a basis for tailored DKD therapy, moving beyond traditional biomarkers.
- Platform trials enable dynamic patient assignment to optimal treatment arms based on molecular profiles.
- Biomarker monitoring facilitates identification of therapy responders and facilitates switching non-responders.
Conclusions:
- Personalized medicine in DKD can be advanced through molecular multimarker panels and platform trials.
- Biomarker-driven patient stratification improves treatment efficacy and trial efficiency.
- Future DKD clinical trials should leverage molecular profiling for optimized therapeutic strategies.
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