Multiscale measurement of brain tissue and cell biomechanics using a mouse model
The intricate structure of the brain at various scales is linked to its functional and biomechanical properties. Since understanding the biomechanical properties is vital for comprehending brain diseases, development, and injuries, measurements at different scales are necessary. Here we introduce methods to measure the biomechanical properties at both tissue and cellular levels using a mouse model. A specially designed magnetic resonance elastography system is introduced for imaging the whole mouse brain, enabling in vivo mapping of its shear modulus. Additionally, protocols for isolating and culturing primary neurons and astrocytes from the hippocampus and cerebral cortex of the mouse brain are presented. The nanoindentation technique using atomic force microscopy is employed to measure the biomechanical properties of individual cells. The results indicate that the storage/loss modulus of the mouse cerebral cortex and hippocampus are 8.07±1.28 kPa/3.20±0.66 kPa and 6.60±0.52 kPa/2.52±0.33 kPa, respectively. Meanwhile, the Young’s modulus for neurons and astrocytes is 470.88±17.67 Pa and 681.13±14.15 Pa, respectively. These findings demonstrate that the brain exhibits distinct biomechanical properties at different scales. The proposed methods offer general techniques for investigating the multiscale biomechanical properties of the brain.
Authors
- Yuan Feng (ORCID: https://orcid.org/0000-0003-1902-3408)
- Hitoshi Jin
- Runke Wang (ORCID: https://orcid.org/0009-0004-0042-8290)
- Guang‐Zhong Yang (ORCID: https://orcid.org/0000-0003-4060-4020)
- Sue Qian (ORCID: https://orcid.org/0000-0003-3843-4376)
- Fuhua Yan (ORCID: https://orcid.org/0000-0002-8969-703X)
Institutions
- Ruijin Hospital (CN)
Publication Details
- Journal
- Biophysics Reports
- Published
- 2025-01-01
- DOI
- https://doi.org/10.52601/bpr.2024.240049
- Citations
- 2
- Primary Topic
- Cellular Mechanics and Interactions
- Type
- article
- Field-Weighted Citation Impact
- 2.30
Funders
- Natural Science Foundation of Shanghai
- National Natural Science Foundation of China
- Chinese Academy of Sciences
- Science and Technology Commission of Shanghai Municipality
- Shanghai Jiao Tong University