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Mechanotyping of Organoids for Assessing Drug-Induced Injuries.

Murat Kaynak1,2,3, Mehmet D Aşık3,4, Elif E Inan1,2,3

  • 1Center for Engineering in Medicine and Surgery, Massachusetts General Hospital, Boston, MA, 02114, USA.

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Summary
This summary is machine-generated.

A new Centrifugal Mechanical Testing (CeMeT) platform enables rapid, label-free mechanotyping of 3D organoids. This tool accurately detects drug-induced injuries and disease changes, advancing preclinical drug safety screening.

Keywords:
drug‐induced injuriesmechanical drug testingmechanotypingorganoidstissue biomechanics

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Area of Science:

  • Biomedical Engineering
  • Biophysics
  • Toxicology

Background:

  • Tissue mechanotypes are key indicators of disease and drug toxicity.
  • Current mechanotyping methods are not scalable for 3D organoid models.
  • There is a need for efficient tools for drug safety and efficacy screening.

Purpose of the Study:

  • To introduce the Centrifugal Mechanical Testing (CeMeT) platform for 3D organoid mechanotyping.
  • To demonstrate CeMeT's capability in assessing mechanical properties and detecting pathological changes.
  • To validate CeMeT for preclinical drug safety and efficacy assessment.

Main Methods:

  • Developed and utilized the Centrifugal Mechanical Testing (CeMeT) platform.
  • Employed centrifugal mechanical principles and high-speed imaging for label-free analysis.
  • Assessed mechanical properties (stiffness, elastic recovery) of hydrogels and cardiac organoids.

Main Results:

  • CeMeT accurately distinguished mechanical properties of different hydrogels and organoids.
  • The platform detected pathological mechanotype changes with high sensitivity.
  • Drug treatments (pergolide, Cytochalasin-D) induced measurable changes in organoid mechanotypes, indicating toxicity.

Conclusions:

  • The CeMeT platform offers a rapid, robust, and label-free method for 3D organoid mechanotyping.
  • Organoid mechanotype changes serve as reliable indicators of drug-induced tissue injury.
  • CeMeT has transformative potential for early drug safety assessment and disease research.