NIH policy NOT-OD-25-132 prohibits the use of AI-generated text in grant applications that is not substantially modified by the applicant. All AI-drafted sections must be thoroughly rewritten in your own words before submission.
View full policyNIH
Background and Innovation: Acute kidney injury (AKI) is a complex pathological state associated with highly heterogenous outcomes, ranging from full recovery to death. Various underlying factors contribute to the wide- ranging disease trajectories, including aging, inflammation, and prior exposure to AKI. One class of molecules broadly applicable to such disease susceptibility is polyamines. Polyamines are involved in a variety of fundamental biological processes such as protein synthesis, cellular proliferation, and DNA repair. The importance of polyamine homeostasis is also implicated in various forms of kidney diseases. Our ongoing work indicates that Antizyme Inhibitor 1 (AZIN1), a positive regulator of polyamine biosynthesis, plays a significant role in determining the outcome of AKI. In response to tissue injury and inflammation, AZIN1 undergoes adenosine-to-inosine posttranscriptional modification (A-to-I editing). Our data suggest that AZIN1 A-to-I editing is conducive to recovery as it augments the polyamine anabolic pathway and enhances metabolic flexibility. Through various sequencing methods and murine models of AZIN1 A-to-I editing, this proposal will examine the vital role of AZIN1 A-to-I editing and polyamines in renal health and disease. Furthermore, using multiple murine models of AKI, we aim to build a genome-wide, time-anchored map of A-to-I editing with the goal of establishing a framework for molecular staging in kidney disease. Significance and Impact to Veterans Healthcare: The mortality rate associated with AKI in veterans remains exceedingly high, with over 1 in 4 veterans dying within a year from the onset of AKI. Our proposed study aims to address knowledge gaps at the molecular level to enhance post-AKI outcomes. Path to translation/implementation: During the current funding period, we have identified AZIN1 A-to-I editing as a molecular signature enabling the stratification of AKI timeline and recovery potential. This renewal proposal is therefore set out to test this concept and conduct proof-of-concept studies, transitioning from VHA/ORD research priority T0-1 to T0-2.
Up to $0K
2029-09-30
We'll draft the complete application against NIH's requirements, run a quality review, and email you a submission-ready PDF plus an editable Word doc within 5 business days. Most orders deliver in 24-48 hours. Flat $399, any grant size.
Detailed requirements not yet analyzed
Have the NOFO? Paste it below for AI-powered requirement analysis.
Subscribe for Pro access · Includes AI drafting + templates + PDF export
Dynamic Cognitive Phenotypes for Prediction of Mental Health Outcomes in Serious Mental Illness
NIMH - National Institute of Mental Health — up to $18.3M
COORDINATED FACILITIES REQUIREMENTS FOR FY25 - FACILITIES TO I
NCI - National Cancer Institute — up to $15.1M
Leveraging Artificial Intelligence to Predict Mental Health Risk among Youth Presenting to Rural Primary Care Clinics
NIMH - National Institute of Mental Health — up to $15.0M
Feasibility of Genomic Newborn Screening Through Public Health Laboratories
OD - NIH Office of the Director — up to $14.4M
WOMEN'S HEALTH INITIATIVE (WHI) CLINICAL COORDINATING CENTER - TASK AREA A AND A2
NHLBI - National Heart Lung and Blood Institute — up to $10.2M
Metal Exposures, Omics, and AD/ADRD risk in Diverse US Adults
NIA - National Institute on Aging — up to $10.2M