Human kidney proximal tubule-on-a-chip for drug transport and nephrotoxicity assessment

Kyung-Jin Jang1, Ali Poyan Mehr, Geraldine A Hamilton

  • 1Wyss Institute for Biologically Inspired Engineering at Harvard University, CLSB Bldg. 5th floor, 3 Blackfan Circle, Boston, MA 02115, USA. don.ingber@wyss.harvard.edu.

Insights

Researchers developed a novel microfluidic device using human kidney cells to better predict drug toxicity. This organ-on-a-chip model improves upon traditional methods for assessing kidney toxicity in preclinical drug development.

Area of Science:

  • Nephrology
  • Biomedical Engineering
  • Toxicology

Background:

  • Kidney toxicity is a common adverse event in drug development.
  • Current in vitro models and animal studies for predicting kidney toxicity have limitations.
  • There is a need for more accurate models to study kidney function and toxicity.

Purpose of the Study:

  • To develop and validate a microfluidic device that mimics human kidney proximal tubule function.
  • To assess the utility of this device for predicting drug-induced kidney toxicity.
  • To compare the performance of the microfluidic system with traditional cell culture methods.

Main Methods:

  • Primary human kidney proximal tubule epithelial cells were cultured in a microfluidic device with fluidic flow.
  • The device created apical and basal compartments mimicking the kidney tubule environment.
  • Cellular responses to fluid shear stress, albumin transport, glucose reabsorption, and cisplatin toxicity were measured.

Main Results:

  • Microfluidic culture enhanced cell polarization and primary cilia formation compared to Transwell systems.
  • The device demonstrated improved albumin transport, glucose reabsorption, and alkaline phosphatase activity.
  • On-chip cisplatin toxicity and transporter activity more accurately reflected in vivo responses.

Conclusions:

  • The microfluidic 'organ-on-a-chip' system effectively recapitulates human kidney proximal tubule physiology.
  • This model provides a more accurate platform for evaluating human-relevant renal toxicity in preclinical studies.
  • The system shows promise for improving drug safety assessments and reducing reliance on animal models.

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