# Central Hub for Kidney Precision Medicine - Data Visualization Center

> **NIH NIH U2C** · UNIVERSITY OF WASHINGTON · 2021 · $1,298,992

## Abstract

Project Summary
Patients with renal disease have seen very limited progress in disease management over the last two decades.
A key reason for our inability to impact the outcomes in our patients is the lack of insight into the underlying
disease mechanism in a given patient. Renal diseases are still largely group by descriptive disease categories,
lumping patients with different underlying mechanism of nephron damage together. These heterogeneous
disease causes impact not only clinical management, but also clinical trials outcomes. With the advances in
biomedical research we have now the opportunity to obtain detailed mechanistic insight into disease
mechanism active in our patients to guide our clinical management and experimental trials towards precision
medicine. The Kidney Precision Medicine Project (KPMP) offers the unique opportunity to integrate the efforts
in our community towards the goal of the right treatment for the right patient at the right time
The overarching objective of the Data Visualization Core (DVC) in the Central Hub (CH) of the KPMP is to
enable optimal scientific exploration of the KPMP data sets for tissue based patient stratification. The KPMP
takes advantage of a unique feature of renal disease, the access to the endorgan affected by percutaneous
needle biopsy. The tissue procurement sites in the KPMP will establish novel cohorts of patients with Acute
Kidney Injury and Chronic Kidney Disease, and provide samples and data via the Data Coordinating Center of
the CH to the tissue interrogation sites for generation of comprehensive renal tissue and disease profiles. The
DVC will be the central integration engine, charged to capture, standardize, annotated, integrated, model and
map highly diverse data sets into healthy and disease kidney tissue. These data and their complex interactions
will be presented to the global renal research community in an intuitive manner in a suite of tools to serve as
the core knowledge network for the KPMP program and the global renal research community.
To reach this goal the DVC has assembled an experience, multidisciplinary research team with a long standing
track record in integrative team science efforts for precision medicine in renal disease.

## Key facts

- **NIH application ID:** 10218147
- **Project number:** 5U2CDK114886-05
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** Matthias Kretzler
- **Activity code:** U2C (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $1,298,992
- **Award type:** 5
- **Project period:** 2017-09-15 → 2022-09-19

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10218147

## Citation

> US National Institutes of Health, RePORTER application 10218147, Central Hub for Kidney Precision Medicine - Data Visualization Center (5U2CDK114886-05). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10218147. Licensed CC0.

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