PROJECT SUMMARY Acute kidney injury (AKI) is common in hospitalized patients, costly, and strongly associated with mortality. It is also now widely recognized to be a driver of progressive chronic kidney disease (CKD). AKI occurs frequently in common clinical scenarios including sepsis, heart failure, and after coronary artery bypass graft (CABG) surgery, but it is unclear why some individuals develop AKI in these settings while others do not. We hypothesize that abnormalities in kidney function that are not captured by creatinine or proteinuria may identify those predisposed to AKI risk. In preliminary studies in the SPRINT trial, we have shown that abnormalities in kidney tubule function at baseline predict future development of AKI, independent of creatinine, proteinuria, or other AKI risk factors. If confirmed, this finding could provide a paradigm shift as it would allow identification of apparently healthy individuals who are at risk of AKI before the event occurs, enabling strategies to minimize AKI risk such as alterations in medications, hydration protocols, and surgical approaches. This knowledge may also give critical new insights into potential pathological mechanisms driving AKI events. By leveraging the large 30,239 subject Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort, this application seeks to utilize blood and urine specimens collected when REGARDS participants were clinically stable outpatients to characterize their kidney tubule health. We will identify REGARDS participants who subsequently experience sepsis, heart failure, or CABG, and will abstract daily in-patient hospital creatinine data during these admissions to ascertain AKI presence and severity. We will then determine whether tubule dysfunction at times of relative health predicts AKI in these clinical scenarios (Aim 1). Next, we will build a parsimonious biomarker panel that will predict AKI in these settings, setting the stage for future clinical implementation (Aim 2). Finally, we will re-examine changes in these biomarkers after 10 years of follow-up, and determine whether tubule injury or dysfunction is differentially altered in survivors of AKI versus controls. This biomarker signature may allow clinicians to determine whether outpatient (unwitnessed) AKI episodes may underlie the development or progression of CKD (Aim 3). Our efforts will directly link baseline tubule function with future AKI risk, setting the stage for innovative therapies to mitigate or prevent AKI.