Aminoglycosides are an important class of antibiotics that play a critical role in the treatment of
life-threatening infections, but their use is limited by their toxicity. In fact, gentamicin causes
severe nephrotoxicity in 17% of hospitalized patients. The kidney proximal tubule is particularly
vulnerable to drug-induced nephrotoxicity due to its role in drug transport. In this work, we
developed a perfused vascularized model of human kidney tubuloids integrated with tissueembedded
microsensors that track the metabolic dynamics of aminoglycoside-induced renal
toxicity in real time. Our model shows that gentamicin disrupts proximal tubule polarity at
concentrations 20-fold below its TC50, leading to a 3.2-fold increase in glucose uptake, and reverse
TCA cycle flux culminating in a 40-fold increase in lipid accumulation. Blocking glucose
reabsorption using the SGLT2 inhibitor empagliflozin significantly reduced gentamicin toxicity
by 10-fold. These results demonstrate the utility of sensor-integrated kidney-on-chip platforms to
rapidly identify new metabolic mechanisms that may underly adverse drug reactions. The results
should improve our ability to modulate the toxicity of novel aminoglycosides.