1.MRTCallFA - Automated generation of kidney-related MRI parameters and identification of their correlates in the NAKO Study

SchlüsselNAKO-537

ProjektleitungProf. Dr. Anna Köttgen

Genehmigt am20.07.2021

Öffentlich seit11.11.2021

ZusammenfassungReduced kidney function and chronic kidney disease (CKD) are associated with significant morbidity and mortality, but established markers of early renal function impairment are currently lacking. Furthermore, our current understanding of the complex interplay between lifestyle, inherited and environmental factors governing physiological kidney function is rather limited. MRI-derived imaging biomarkers of the kidney could be potentially informative with respect to physiological kidney function or as indicators of early kidney function decline. Therefore, the goal of this proposal is to relate renal parameters from MR images, which we have already generated as part of the first MRI call (NAKO 193), to study participant characteristics collected at the first study visit and to biomarkers from collected biosamples (traditional kidney function markers). We plan to describe the distribution of variables among all NAKO participants with available MRI data, as well as in a healthy subsample, and aim to identify relevant clinical, subclinical and biochemical correlates of the derived imaging biomarkers and to evaluate specifically their association with established biochemical kidney markers in serum and urine. Even later, once NAKO follow-up data become available, we plan to assess whether the derived MRI biomarkers predict kidney function decline and incident CKD, independent of established biochemical markers of kidney function and potential covariates. In summary, the proposed analyses will relate newly derived imaging biomarkers of kidney function and disease to variables collected at study baseline to establish epidemiological correlates, and compare imaging and traditional markers of kidney function and disease.

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EinrichtungenUniklinik Freiburg, Universitätsmedizin Greifswald, Universität Regensburg, Universitätsklinikum Freiburg, Universität Leipzig, Universität Kiel

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