Visualizing hypoxic modulation of beta cell secretions via a sensor augmented oxygen gradient

Area of Science:

• Biomedical Engineering
• Cell Biology
• Metabolic Research

Background:

• Microfluidic cell assays offer scalability and in situ detection advantages.
• Conventional microfluidics face limitations due to diffusion, restricting spatiotemporal resolution.
• Studying pancreatic beta cells requires precise control over microenvironmental factors like oxygen.

Purpose of the Study:

• To develop a multilayered microfluidic device for precise oxygen gradient control (0-20%).
• To enable spatiotemporal detection of cellular responses in pancreatic beta cells.
• To investigate the relationship between oxygen levels and beta cell function.

Main Methods:

• Utilized a multilayered microfluidic system with an integrated hydrogel sensor.
• Applied a novel oxygen gradient to study pancreatic beta cells in situ.
• Performed real-time, spatiotemporal detection of calcium, insulin, and adenosine triphosphate (ATP).

Main Results:

• Achieved sensitive insulin quantification (as low as 25 pg/mL) using imaging.
• Demonstrated in situ detection of cellular responses to glucose and oxygen stimulation.
• Uncovered an optimal oxygen range (10-12%) for pancreatic beta cell oscillations, distinct from conventional hypoxic or normoxic conditions.

Conclusions:

• The developed microfluidic platform enables advanced spatiotemporal analysis of cellular functions.
• Identified a critical, non-conventional oxygen level influencing pancreatic beta cell activity.
• Provides a robust platform for studying oxygen-dependent tissue dysfunctions and refining islet oscillator models.