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74 results about "Substantia nigra" patented technology

The substantia nigra (SN) is a basal ganglia structure located in the midbrain that plays an important role in reward and movement. Substantia nigra is Latin for "black substance", reflecting the fact that parts of the substantia nigra appear darker than neighboring areas due to high levels of neuromelanin in dopaminergic neurons. It was discovered in 1784 by Félix Vicq-d'Azyr, and Samuel Thomas von Sömmerring alluded to this structure in 1791. Parkinson's disease is characterized by the loss of dopaminergic neurons in the substantia nigra pars compacta.

Preparation of fructus forsythiae active site and application of fructus forsythiae active site to Parkinson disease

ActiveCN105147711AAvoid damageImprove PD-like behavioral changesOrganic active ingredientsNervous disorderDiseaseMedicinal herbs
The invention relates to a preparation method of a common traditional Chinese medicine of a fructus forsythiae active site. The method comprises: pulverizing a medicinal material of fructus forsythia; performing reflux extraction with a solvent, such as water or ethanol; concentrating the extracting liquid at a reduced pressure to obtain extractum; performing extraction through a plurality of organic solvents and recycling the organic solvents of the site extracted by n-butyl alcohol; dispersing and dissolving the site extracted by n-butyl alcohol in a proper amount of distilled water; taking the obtained supernate out and putting the supernate in a macroporous adsorption resin with weak polarity or medium polarity; and performing elution in a water-alcohol system to obtain the fructus forsythiae active site. According to the method, a separation method and a modern spectroscopic analysis method for a plurality of chemical components are utilized to separate and identify chemical components in the active site, thereby obtaining 15 compounds, 9 of which are new compounds. In vitro, the fructus forsythiae active site has an obvious function of preventing neurocyte damage due to rotenone, and in vivo, the fructus forsythiae active site can significantly increase the number of TH positive neuron, due to rotenone, of a substantia nigra zona compact of a rat and improve a Parkinson symptom of the rat. Therefore, the fructus forsythiae active site can be prepared into a medicine for preventing and curing the Parkinson disease.
Owner:INST OF MATERIA MEDICA AN INST OF THE CHINESE ACAD OF MEDICAL SCI

Method for analyzing Parkinson disease therapeutic effect

InactiveCN103143036ASimple detection and analysis processReliable principleIn-vivo testing preparationsIntraperitoneal routeDisease
The invention belongs to the technical field of detection and analysis, and relates to a method for analyzing Parkinson disease therapeutic effects. The method comprises the following steps of: selecting adult rats and living under room temperature condition, and selecting haloperidol as the medicine; selecting an animal brain three-dimensional position finder; dividing the rats into two groups, namely, a reference group and an XE991 group; in the state that the rats are conscious and act freely, carrying out intraperitoneal injection of haloperidol, and subsequently injecting normal saline or XE991 into substantia nigra through a metal casing; observing whether the heads of the rats deflect or not and observing the deflection directions and the angles, and scoring according to the head-back straight lines of the rats and the included angles of the back-tail straight lines; slightly putting the front legs of the rats on a metal rod so as to record the rigidity incubation periods of the double front legs of the rats on the metal rods, wherein the test results show that the XE991 has the therapeutic effect on the PD (Parkinson's Disease) rigid rats induced by haloperidol, thereby realizing the analysis on the Parkinson's disease therapeutic effects. The method is simple in detection and analysis process and reliable in principle, the used equipment and instruments are developed in techniques, the detection data are accurate and the detection is environment-friendly.
Owner:QINGDAO UNIV
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