Determining Rates of Molecular Secretion from Supernatant Concentration Measurements in a 3D-Bioprinted Human Liver...

Area of Science:

• Biotechnology
• Biomedical Engineering
• Pharmacology

Background:

• Albumin secretion rate is vital for assessing liver tissue model function in drug development.
• Quantifying molecular secretion rates from supernatant concentration measurements remains challenging.

Purpose of the Study:

• To develop computational and analytical models for determining albumin secretion rates from 3D-bioprinted human liver tissue.
• To establish a method for inferring secretion rates using supernatant albumin concentration data.

Main Methods:

• Utilized a 3D-bioprinted human liver tissue construct in a microgel-based 3D culture system.
• Developed computational and analytical models for molecular transport and albumin secretion.
• Employed serial measurements of albumin concentration in collected supernatant media.

Main Results:

• The models demonstrate that albumin secretion rates can be accurately determined from supernatant concentration measurements.
• Identified reaction-limited conditions where rapid spatial distribution of albumin is achieved.
• Showed that temporally resolved synthesis rates can be inferred from serial concentration data.

Conclusions:

• The developed models provide a critical link between measurable albumin concentrations and actual secretion rates.
• This methodology enhances the reliability of in vitro liver tissue models for critical quality attribute quantification.
• Enables confident assessment of liver tissue performance in drug development and screening applications.