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Construction of artificial neural network sample catheter for repairing spinal cord injury

An artificial neural network and spinal cord injury technology, applied in the field of artificial neural network-like catheter construction, can solve the problems of inconvenient clinical application and difficulty in obtaining autologous NSCs, so as to promote social and economic development, prolong human life, and reduce social and family burdens Effect

Active Publication Date: 2011-04-13
SUN YAT SEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is difficult to obtain autologous NSCs, which is not convenient for clinical application.

Method used

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  • Construction of artificial neural network sample catheter for repairing spinal cord injury
  • Construction of artificial neural network sample catheter for repairing spinal cord injury
  • Construction of artificial neural network sample catheter for repairing spinal cord injury

Examples

Experimental program
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Embodiment Construction

[0014] The main instrument used in the present invention, degradable biomaterial support, experimental cells, experimental animals and reagents are described in detail below by specific examples:

[0015] 1. Main instruments

[0016] Ultra-clean workbench (Suzhou Purification Equipment Co., Ltd.), ordinary centrifuge (Japan Kubota Manufacturing Co., Ltd.), low-temperature high-speed centrifuge (US Eppendorf Company), 5% CO 2 Incubator (Queue Company, USA), Inverted Fluorescence Microscope (Leica Company, Germany), Microsurgical Microscope (Zhenjiang Optical Instrument Factory), Thermostat Microtome (Shandon Company, UK), Inverted Phase Contrast Microscope (Olympus Company, Japan), Philips CM 10 Transmission electron microscope (Eindhoven, Netherlands) and HEKA EPC-10 patch clamp amplifier (HEKA, Germany).

[0017] 2. Degradable biomaterial scaffolds

[0018] According to the method described in another invention patent of the applicant (application number: 2009100401769), a ...

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Abstract

The invention relates to a construction method of an artificial neural network sample catheter for repairing spinal cord injury, in particular to a method for constructing a functional artificial neural network sample catheter by using a porous gelatin sponge cylindrical stand and application thereof. When applied, the functional artificial neural network sample catheter is transplanted to an injured part of complete transverse or semi-transverse spinal cord so as to better promote the injured central nervous regeneration and functional repair. The method has significance for enhancing protection of injured neurons after spinal cord injury, promoting reconstruction of a neural network, improving the quality of life of the wounded and sick, lightening the social and family burden and promoting the social and economic development of China at a biological tissue engineering level.

Description

technical field [0001] The invention relates to a method for constructing an artificial neural network-like catheter for repairing spinal cord injuries, in particular to a method for constructing a functional artificial neural network-like catheter with a porous gelatin sponge cylinder bracket and its application. Background technique [0002] Central nervous system injury, such as severe spinal cord trauma, mainly manifests as paraplegia and quadriplegia, and there is no effective treatment method at present. It is now believed that it is impossible to rely on the formation of synapses between the injured spinal cord's own neurons at the full transection to repair the nerve conduction pathway. It is necessary to form new neurons at the site of spinal cord injury by transplanting adult stem cells, induced pluripotent stem cells, and embryonic stem cells, thereby establishing synaptic connections. In order to achieve this experimental therapeutic goal, it is usually necessar...

Claims

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Application Information

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IPC IPC(8): A61F2/04
Inventor 曾园山曾湘
Owner SUN YAT SEN UNIV
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