Home3D PrintingPOSTECH researchers 3D print human mind mannequin

POSTECH researchers 3D print human mind mannequin


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Based on POSTECH, a analysis workforce led by Professor Dong-Woo Cho (Division of Mechanical Engineering) and Professor Jinah Jang (Departments of Mechanical Engineering, IT Convergence Engineering, Life Sciences, and Interdisciplinary Graduate Program), in collaboration with Dr. Mihyeon Bae, and Dr. Joeng Ju Kim, has efficiently developed a 3D mind mannequin that carefully mimics the construction and performance of the human mind. The research was revealed within the Worldwide Journal of Excessive Manufacturing, a number one journal within the discipline of producing and supplies science.

Neurodegenerative illnesses equivalent to Alzheimer’s and Parkinson’s are notoriously troublesome to reverse as soon as onset happens, making early analysis and predictive modeling critically essential. Nevertheless, the mind is essentially the most advanced organ within the human physique, with intricately interconnected cells and signaling mechanisms that stay largely unexplored.

Current research have steered that even on a regular basis alcohol consumption could also be linked to neural injury, additional emphasizing the pressing want for in vitro mind fashions that may exactly replicate human mind responses in laboratory settings. Present two-dimensional cell cultures and stem cell-derived organoids have proven vital limitations in reproducing the advanced structure and performance of the mind.

POSTECH researchers 3D print human brain model - guiding the axonal growth of neurons using the Bioengineered Neural Network (BENN). To beat these limitations, the POSTECH analysis workforce developed the Bioengineered Neural Community (BENN) – a novel 3D synthetic mind mannequin constructed utilizing 3D printing. A central innovation of this mannequin lies within the biomimetic compartmentalization into two distinct areas: grey matter, which incorporates neuronal cell our bodies, and white matter, which consists of aligned axons that act as data highways facilitating sign transmission.

The researchers utilized electrical stimulation to information the axonal progress of neurons in a selected path, selling the formation of aligned and interconnected neural pathways. This led to the institution of a practical neural community that carefully resembles the mind’s native sign transmission structure. Actual-time monitoring of calcium ion flux confirmed that the BENN mannequin exhibited electrophysiological responses analogous to these noticed in precise mind tissue.

Moreover, the workforce utilized the BENN platform to research the results of alcohol publicity on mind operate. The mannequin was handled every day with ethanol at a focus of 0.03% – consultant of average social ingesting – for 3 weeks. Within the grey matter area, they noticed elevated ranges of Alzheimer’s-related proteins, together with amyloid-beta and tau. Within the white matter, they recognized vital morphological adjustments in neural fibers, together with swelling and distortion. The propagation of neural indicators additionally exhibited marked attenuation. This research is the primary to immediately visualize and quantify region-specific neurotoxic responses to alcohol in actual time utilizing a bioengineered mind mannequin.

“This mannequin allows high-resolution evaluation of neural connectivity and electrophysiological responses that had been beforehand troublesome to watch. It holds vital potential for early illness detection and correct prediction of therapeutic outcomes on the preclinical stage,” mentioned Professor Dong-Woo Cho.

“This analysis marks an essential step ahead in our skill to research the early pathological occasions of mind illnesses in a laboratory setting,” mentioned Professor Jinah Jang.

This POSTECH analysis was supported by the Korean Fund for Regenerative Drugs, and was funded by the Ministry of Science and ICT, the Ministry of Well being and Welfare (22A0106L1, Republic of Korea), and the Nationwide Analysis Basis of Korea (NRF) grant funded by the Korea authorities (MSIT) (No. 2022M3C1A3081359).

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