# Resource Development Core

> **NIH NIH U54** · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2024 · $264,392

## Abstract

ABSTRACT - RESOURCE DEVELOPMENT CORE (RDC)
The main goal of the University of Michigan O'Brien Kidney Translational Resource Center (MKTC) is to
provide an effective translational research pipeline that relies on a systems biology approach to develop
novel, diagnostic, prognostic and therapeutic strategies for patients with kidney diseases. Our Resource
Development Core (RDC) will support the Applied Systems Biology Core (ASBC), the Data Analytic Services
Core (DASC) and the kidney research community at large by developing a unified platform and methods that
integrate multidimensional data, cohort selection and clinical trial design. The University of Michigan Precision
Health Initiative (PHI), which incorporates all data from Michigan Medicine patients in addition to social
determinants of health and biological samples, represents a unique resource that the RDC will expand upon to
develop the following pipelines:
a. Biomarker candidate selection, assay, validation, and incorporation into study design. The RDC will
establish a database and pipeline to provide investigators the most promising biomarkers, relevant assays
based on the outcomes investigated, in addition to guidance surrounding validation and quality control.
b. Cohort development. We will leverage the infrastructure of the PHI to build algorithms to identify and curate
with high confidence kidney-specific diagnoses, relevant clinical characteristics, laboratory testing, social
determinants of health, well as outcomes through integrating multiple data sources including billing codes and
natural language processing. The end-result will provide investigators the ability to easily identify relevant
cohorts and rapidly retrieve data in a format that is ready to analyze through a graphical user interface.
c. Kidney outcomes. We will establish a pipeline to incorporate United States Renal Data System (USRDS)
data into the PHI platform, enriching the Michigan Medicine dataset and providing confirmatory data for cohort-
specific analyses.
d. Novel metabolomic technologies and multi-omic integration. In addition to developing spatial metabolomic
platform, we improve tools for annotation of untargeted metabolomics data and identification of new
compounds and provide novel integrative analysis of metabolomics-proteomics-transcriptomics- epigenomics
data.
e. Clinical trial design. We will establish a workflow for kidney-specific clinical trial design and implementation,
as well as provide associated workshops through the highly successful Clinical Trials Academy.
The pipelines and workflows to be established by the RDC will provide investigators across the spectrum of
research stages – from bench (biomarker discovery) to bedside (clinical trial design) – the ability to integrate of
multidimensional data – from social determinants of health to organic biomarkers and outcomes – in
addressing the major challenges the management of patients with kidney disease.

## Key facts

- **NIH application ID:** 10915006
- **Project number:** 5U54DK137314-02
- **Recipient organization:** UNIVERSITY OF MICHIGAN AT ANN ARBOR
- **Principal Investigator:** Salim Hayek
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $264,392
- **Award type:** 5
- **Project period:** 2023-09-01 → 2028-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10915006

## Citation

> US National Institutes of Health, RePORTER application 10915006, Resource Development Core (5U54DK137314-02). Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/grant/nih/10915006. Licensed CC0.

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