# A Device for Detection of Acute Kidney Injury

> **NIH NIH R41** · NEPHSMART LLC · 2024 · $274,415

## Abstract

Summary
This is a revised Phase I STTR application to develop and test a device to predict severe acute kidney injury
(AKI). Prediction of future risk of developing Acute Kidney Injury (AKI) has been a goal for decades. The
treatment of patients with severe AKI and severe AKI that requires dialysis (AKI-3 and AKI-D) is significantly
different than for patients with mild-to-moderate AKI (AKI-1 to AKI-2). No currently available biomarkers are
strong predictors of the development of severe AKI, nor can they differentiate AKI-1 and -2 from AKI-3 and -D.
We have discovered that extensive cleavage of a protein occurs in the urine of patients with mild AKI that will
progress to severe AKI. This cleavage does not occur in healthy controls or patients with mild AKI that will not
progress to severe AKI. Preliminary data suggest that an assay that uses this cleavage to predict severe AKI
will be both highly sensitive and highly specific. In this application, we propose to develop a point of care test
that can detect the amount of cleavage of this protein. We will use this test to predict the future development of
severe AKI.

## Key facts

- **NIH application ID:** 10919989
- **Project number:** 1R41DK138646-01A1
- **Recipient organization:** NEPHSMART LLC
- **Principal Investigator:** JOHN M. ARTHUR
- **Activity code:** R41 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $274,415
- **Award type:** 1
- **Project period:** 2024-08-01 → 2026-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10919989

## Citation

> US National Institutes of Health, RePORTER application 10919989, A Device for Detection of Acute Kidney Injury (1R41DK138646-01A1). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10919989. Licensed CC0.

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