28 results about "Neurite" patented technology

The invention relates to the technical field of nerve cell differentiation, and discloses a culture medium for promoting neural differentiation of SH-SY5Y cells. The culture medium disclosed by the invention is prepared from the following components: tazarotene (tazarotene) and a basic culture medium. The culture medium can promote SH-SY5Y cells to present neuron-like differentiation within 5 days, significantly improves the length of neurite and the expression level of neuron markers, and is low in cytotoxicity. The invention provides an efficient, safe and standardized new tool for neural disease in-vitro model construction, drug screening and mechanism research.

Providing a nerve cell culture chip that can increase the probability that neurites grown from cultured nerve cells are introduced into a microchannel. A nerve cell culture chip comprises: a bottom plate, a main body part firmly in contact with an upper surface of the bottom plate, a first recess and a second recess formed at positions spaced apart in a first direction parallel to a main surface of the main body part to penetrate the main body part and expose the bottom plate, a microchannel connecting the first recess to the second recess in the first direction in a region overlapping the main body part in a second direction orthogonal to the main surface of the main body part, and a first groove formed in a part of a bottom part of the first recess and connected to an end portion of the microchannel in the first direction.

A system and method are provided for determining a distribution of cellular populations in a patient. The method includes accessing neurite orientation dispersion and density imaging (NODDI) data acquired from the patient and performing a topological data analysis of the NODDI data to generate topological information. The method also includes correlating the topological information with cell population information and generating a report including the distribution of cellular populations in the patient based on the correlating of the topological information with cell population information.

The present disclosure relates generally to providing a cellular time-series imaging, modeling, and analysis platform, and more specifically to acquiring time-series image data and using various machine learning models to model and analyze subcellular particle movements and changes in cellular positional and morphological characteristics using unsupervised embedding generation. The platform can be applied to evaluate various cellular and subcellular processes by generating summary embeddings of time-series image data that enable analysis of dynamic cellular and subcellular processes over time (e.g., the movement of particles within a cell, neurites on developing neurons, etc.) for enhanced identification of differences between cell states (e.g., between sick and healthy cells) and generation of disease models which can be used to analyze the impact of various therapeutic interventions, among other improvements described throughout.

This invention provides a pH-responsive immunomodulatory microneedle patch, its preparation method, and its application, belonging to the field of biomedical materials technology. This invention incorporates Zif-8 nanoparticles loaded with ChABC into GelMA hydrogel to prepare a pH-responsive immunomodulatory microneedle patch (Z@C-MN). As the patch gradually degrades, the system can continuously release Zn in a pH-responsive manner. 2+ Z@C-MN, along with ChABC, promotes in situ repair of cerebral fibrosis (SCI) after injury. Z@C-MN induces macrophage polarization towards a pro-regenerative phenotype, thereby downregulating the inflammatory response, increasing neurite length, and promoting the differentiation of neural stem cells into neurons. In vivo, Z@C-MN reduced the inflammatory microenvironment after injury and promoted angiogenesis in a rat SCI model. Furthermore, it activated axonal regeneration by inhibiting scar tissue formation and regulating CD4+. + T cell transformation supports neurogenesis.

The invention discloses a monoterpenoid indole alkaloid derivative for improving a memory cognition function and a preparation method and application thereof, and relates to the field of pharmacy. The monoterpenoid indole alkaloid derivative comprises a monoterpenoid indole alkaloid compound with a structure as shown in a general formula I, or pharmaceutically acceptable salt or stereoisomer or prodrug molecule of the monoterpenoid indole alkaloid compound. According to the present invention, it is found for the first time that the prepared monoterpene indole alkaloid derivative can regulate and control the growth and differentiation of nerve cells, and can increase the synthesis of new proteins by inhibiting eukaryotic elongation factor 2 kinase (eEF2K) so as to enhance the growth of neurite and promote the maturation of neurons. Experimental results prove that the prepared monoterpenoid indole alkaloid derivative has application prospects in improving neurodegenerative diseases (such as Alzheimer's disease, Parkinson's disease and the like), Down's syndrome and senescence-related memory cognitive impairment. # imgabs0 #

The present disclosure relates to the use of compounds of formula (I), compounds of formula (II), and related analogs for enhancing neurogenesis, enhancing neurite outgrowth, enhancing nerve growth, nerve connectivity, synaptic density, dendritic spine density, dendritic spine size, and excitatory neurotransmission in the brain (e.g., in the medial prefrontal cortex), and to methods of enhancing neurogenesis, enhancing neurite outgrowth, enhancing nerve growth, nerve connectivity, synaptic density, dendritic spine density, dendritic spine size, and excitatory neurotransmission in the brain (e.g., in the medial prefrontal cortex). And other methods and uses related thereto.

The invention provides a diffusion magnetic resonance imaging method and device for personalized human brain microenvironment brain injury detection, and the method comprises the steps: selecting an embedded mask automatic encoder of a state space; the method is a new method for enhancing global context modeling and keeping more local details in the three-dimensional diffusion magnetic resonance image reconstruction process. A priori knowledge base is established by utilizing reconstruction errors of healthy diffusion magnetic resonance image data, and an embedded mask automatic encoder in a state space is applied to personalized brain injury detection. According to the method, three advanced diffusion models including a neurite direction dispersion and density imaging model, an average signal dispersion kurtosis model and a free water elimination double-chamber model are integrated, multi-dimensional microstructure measurement is constructed, and detection of cross-health-condition heterogeneity brain injury is achieved.

The present disclosure relates generally to providing a cellular time-series imaging, modeling, and analysis platform, and more specifically to acquiring time-series image data and using various machine learning models to model and analyze subcellular particle movements and changes in cellular positional and morphological characteristics using unsupervised embedding generation. The platform can be applied to evaluate various cellular and subcellular processes by generating summary embeddings of time-series image data that enable analysis of dynamic cellular and subcellular processes over time (e.g., the movement of particles within a cell, neurites on developing neurons, etc.) for enhanced identification of differences between cell states (e.g., between sick and healthy cells) and generation of disease models which can be used to analyze the impact of various therapeutic interventions, among other improvements described throughout.

This estimation method is performed by an estimation device equipped with a control unit which executes an estimation processing that is a processing for estimating the position of a synaptic connection of a nerve cell that is a target to be analyzed and is in contact with a plurality of electrodes. In the estimation processing, the estimation is performed on the basis of: electrode position information which indicates the positions of the electrodes; neurite position information which indicates the positions of neurites extending from the nerve cell; and cue information which indicates an estimation signal pair, wherein the estimation signal pair is included in estimation signal pairs each of which is a pair of ignition electrodes that are electrodes in which a propagated electrical signal has a spike-like waveform, and the estimation signal pair satisfies at least such an extraction requirement that, with respect to firing that is a phenomenon where electrical signals each having a spike-like waveform are generated, the difference between the time at which the firing occurs in one of the pair of the ignition electrodes and the time at which the ignition occurs in the other of the pair of the ignition electrodes is longer than the time required for the electrical signal to travel a straight-line distance between the above-mentioned one of the pair of the ignition electrodes and the above-mentioned other of the pair of the ignition electrodes at a speed at which the electrical signal propagates through an axon.

This invention discloses a GPU-based neuronal skeleton extraction method based on topology-simplified trunk growth, relating to the fields of neuroinformatics and 3D biomedical image processing. The method includes: threshold filtering and denoising of the input volume data, and retaining the largest connected component based on 3D connected component labeling to remove isolated noise; given the cell body center coordinates, determining the cell body region through spherical expansion and removing it from the foreground to highlight neural protrusions such as dendrites and axons; after obtaining the coarse skeleton, using GPU to perform topology simplification, and constructing a path scoring function combining path length and average normalized brightness, iteratively selecting and retaining the trunk path with the best score, enhancing trunk continuity and suppressing pseudo-branches caused by noise and breaks. This invention can achieve robust skeleton extraction in 3D data with noise interference and uneven brightness, and is suitable for applications such as neuronal morphology reconstruction and quantitative analysis.

The present disclosure relates generally to providing a cell time series imaging, modeling, and analysis platform, and more particularly to acquiring time series image data and using various machine learning models to model and analyze subcellular particle motion as well as cell position and morphological feature variations generated using unsupervised embedding. The platform can be applied to assess various cellular and subcellular processes by generating digest embedding of time-series image data that can analyze time-varying dynamic cellular and subcellular processes (e.g., movement of intracellular particles, neurons on developmental neurons, etc. In some embodiments, methods and systems are provided to enhance the identification of differences between cellular states (e.g., between ill and healthy cells) and generate a disease model that can be used to analyze the effects of various therapeutic interventions, as well as other improvements described herein.

A microfluidic device comprising: a first chamber capable of cultivating nerve cells, and a channel extending laterally from the first chamber, the channel capable of cultivating neurites growing from the nerve cells, the channel having a first end communicating with the first chamber and a second end opposite the first end, the channel having a barrier portion at a location remote from the second end for lowering a level of a portion of a ceiling surface of the channel and limiting the entry of the nerve cells.

The present invention relates to a TAFA protein, a fragment thereof, or a variant thereof, which has the ability to increase the length or branching point of neurites. In addition, the present invention relates to a therapeutic use of a pharmaceutical composition containing: a polypeptide comprising the amino acid sequence of the TAFA protein, a fragment thereof, or a variant thereof; a nucleic acid molecule encoding the polypeptide; a vector carrying the nucleic acid molecule; a recombinant viral particle comprising the vector and a capsid protein; a cell comprising the vector; a cell transformed with the vector; or a combination thereof. The composition of the present invention promotes recovery from damaged retinas (for example, cone cells of photoreceptors, etc.) or increases the length of neurites in neurons, and thus can be advantageously used for preventing or treating retinal neurological diseases and / or neuropathic pain.

Therapeutic agents such as mRNA fragments are delivered to a patient to treat peripheral nerve system injuries via functionalized fiber networks. The fiber networks are electrospun from poly(L-lactic acid), producing a hollow conduit of aligned fibers. The networks are functionalized with an anionic layer, e.g., dextran sulfate sodium salt (DSS), poly(3,4-dihydroxy-L-phenylalanine) (pDOPA). mRNA complexes including a cationic liposomal transfection portion and an mRNA portion, such as Ψ-modified mRNA encoding neurotrophin-3 (NT-3), are immobilized thereon. The fiber networks are positioned to bridge a peripheral nerve gap in the patient. These networks upregulate secretion of expressed oligopeptides, e.g., NT-3, by surrounding cells, and thus enhance neurite outgrowth. The networks serve as versatile non-viral mRNA delivery platforms. The mRNA transcript, gene delivery vehicle, and surface coatings can be modified to regulate different desired proteins, optimize transfection efficiency, enable targeted delivery, and tune loading efficiency and release kinetics.

An object of the present invention is to provide a composition for preventing or treating neurotrophic keratitis. The present inventors found that PACAP peptide exhibits an inhibitory effect on corneal injury in a neurotrophic keratitis model and promotes neurite outgrowth in a cultured nerve cell model. Furthermore, there are provided a composition for preventing or treating neurotrophic keratitis containing a PACAP peptide or a stabilized PACAP peptide, in which the carboxyl group of aspartic acid at positions 3 and / or 8 in the sequence of PACAP is replaced with tetrazole, and the stability is significantly enhanced, and a neurite outgrowth promoter.

The present invention relates to a pharmaceutical composition for preventing or treating neurological diseases, comprising dextromethorphan as an active ingredient. When the compound is applied to damaged nerve cells, it was confirmed that nerve regeneration effects such as increased cell viability of the nerve cells and increased average neurite length and maximum neurite length are exhibited, and thus the composition can be effectively utilized as a composition for preventing, treating, or alleviating neurological diseases.

The present invention relates to a polypeptide that induces ribbon synapse formation in the inner ear or increases the number of ribbon synapses in the inner ear, or improves the function of ribbon synapses. The present invention also relates to a polypeptide having the ability to promote neurite outgrowth or increase branch points of spiral ganglion neurons. A pharmaceutical composition comprising a polypeptide, a nucleic acid molecule encoding the polypeptide, a vector comprising the nucleic acid molecule, recombinant viral particles comprising the vector and a capsid protein, a cell comprising the vector, a cell transformed with the vector, or a combination thereof, of the present invention, prevents or ameliorates damage to or abnormality of the auditory system or the equilibrium system (vestibular system), and thus can be effectively used as a therapeutic agent for inner ear diseases.

The present invention pertains to a method for controlling a membrane potential-dependent ion channel (VGSC or the like) through a type I taste receptor present in a nerve cell or the like. In the present invention, it has been found that an A β peptide, or a sweet amino acid or an umami substance specifically binds to a type I taste receptor on the surface of a nerve cell to exert an agonist-like or antagonist-like action, thereby amplifying or suppressing a VGSC active current. Moreover, with the binding of an Aβ peptide or the like to a type I taste receptor, the amplification of a VGSC active current occurs, the overactivity of nerve cells causing epileptiform attack occurs, and a large number of substances, which can effectively suppress the amplification of the VGSC active current, among ligand substances that specifically bind to the type I taste receptor, can be found. The present invention provides: a type I taste receptor-specific ligand substance that can control the amplification or suppression of a VGSC active current; and a pharmaceutical composition for preventing or treating various neurodegenerative diseases, such as Alzheimer's disease (AD), due to the amplification of a VGSC active current caused by the binding of an Aβ peptide or the like to a type I taste receptor. Moreover, a method for using, as a target receptor, a type I taste receptor present in a nerve cell or the like to screen a ligand substance for controlling a VGSC or the like in the cell is also provided. Furthermore, the present invention provides a method in which a solution that reproduces the type and concentration of an Aβ peptide contained in the cerebrospinal fluid and serum of a patient with Alzheimer-type dementia is used, and the Aβ peptide contained in the CFS and serum of the patient assesses pathology. Specifically, provided is: a method for assessing the form and dynamic state of cells and the activity of a neurite by using an optical microscope; or a method for assessing the impedance change in a vascular epithelial cell.

This application discloses a neuromorphic organoid chip for high-throughput drug screening, belonging to the fields of microfluidic chips and drug screening technology. The chip includes a chip substrate and packaging module, a neuron culture module, an organoid culture module, a unidirectional trend connection module, a high-throughput drug delivery and distribution module, and a detection and sampling module. By integrating the neuron culture module, organoid culture module, unidirectional trend connection module with directional bias characteristics, and high-throughput drug delivery and distribution module on the same chip substrate, this invention achieves partitioned culture and directed connection of iPSC-induced neurons and three-dimensional tissues such as tumor organoids, supporting the construction of neuromorphic tumor models and high-throughput drug screening. This invention can guide neurites to preferentially extend towards the organoid side and inhibit the reverse migration of cells on the organoid side, offering advantages such as clear model boundaries, high throughput, and suitability for parallel drug testing and mechanism research.

The present disclosure relates generally to providing a cellular time-series imaging, modeling, and analysis platform, and more specifically to acquiring time-series image data and using various machine learning models to model and analyze subcellular particle movements and changes in cellular positional and morphological characteristics using unsupervised embedding generation. The platform can be applied to evaluate various cellular and subcellular processes by generating summary embeddings of time-series image data that enable analysis of dynamic cellular and subcellular processes over time (e.g., the movement of particles within a cell, neurites on developing neurons, etc.) for enhanced identification of differences between cell states (e.g., between sick and healthy cells) and generation of disease models which can be used to analyze the impact of various therapeutic interventions, among other improvements described throughout.

A system and method are provided for non-invasively assessing neuro-inflammation in a subject. The method includes acquiring neurite orientation dispersion and density imaging (NODDI) data of the subject and processing the NODDI data to determine an orientation dispersion index (ODI) component of the NODDI data. The method also includes assessing the ODI component against one of a reference of neuro-inflammation or a prior ODI component acquired from the subject to determine one of an acute assessment or a chronic assessment of neuro-inflammation in the subject. The method further includes generating a report indicating the one of an acute assessment or a chronic assessment of neuro-inflammation in the subject.

The invention discloses a nano-drug for enhancing the transplantation curative effect of stem cell-derived retinal ganglion cells as well as a preparation method and application of the nano-drug. Lithium ions and epicatechin gallate are self-assembled to form a lithium-epicatechin gallate nano-drug; the lithium-epicatechin gallate nano-drug is stable in structure and has strong oxidation and mitochondrial protection effects, the lithium-epicatechin gallate nano-drug and the epicatechin gallate nano-drug have synergistic interaction in function, and the lithium-epicatechin gallate nano-drug not only has dual nerve protection advantages, but also can improve drug stability and treatment effect; furthermore, the lithium-epicatechin gallate nano-drug and the embryonic stem cell-derived ganglion cells are transplanted in a combined manner, so that the survival rate and the neurite protection of the nano-drug under the oxidative stress condition can be remarkably improved, and more effective neuroprotection and functional reconstruction are realized in treatment of retina degenerative diseases such as glaucoma and the like.

A method of analyzing neurons includes: identifying a cell region by identifying a region of a neurite or a region of a cell body of a neuron on the basis of time-series images obtained by imaging the neuron in time series; detecting aggregates by imaging, in time series, first fluorescent protein tagged to specific protein expressed in the neuron and detecting presence or absence of aggregates of the specific protein aggregated in the region of the neurite or the region of the cell body identified in the identifying the cell region on the basis of luminance of the first fluorescent protein included in the time-series images; and performing an analysis by classifying the neuron into a plurality of groups on the basis of a detection result of the detecting the aggregates and analyzing a survival state of the neuron for each of the groups.

The invention discloses a dandelion root extract as well as a preparation method and application thereof in promoting regeneration of peripheral nerves, and the preparation method is characterized in that acetone, triethanolamine and sodium borohydride are taken as extracting agents, and non-toxic, efficient and cheap natural active ingredients are obtained from dandelion roots. The dandelion root extract provided by the invention is rich in flavone and sterol substances, can promote growth of nerve cells and neurite, promote mRNA expression increase of myelin sheath related factors, can also promote morphological structure regeneration and functional recovery of myelin sheath lamella of damaged nerves, and can be used for peripheral nerve injury repair and peripheral nerve regeneration promotion; the preparation method provided by the invention has the advantages of stable active components and high extraction rate.

This invention relates to TAFA proteins, fragments thereof, or variants thereof that have the ability to increase the length of neurites or branching points. Furthermore, this invention relates to pharmaceutical compositions containing polypeptides comprising the amino acid sequence of said TAFA protein, its fragments, or variants thereof; nucleic acid molecules encoding said polypeptides; vectors carrying said nucleic acid molecules; recombinant viral particles comprising said vector and capsid protein; cells comprising said vector; cells transformed with said vector; or therapeutic uses thereof. The compositions of this invention promote repair from damaged retina (e.g., cone cells of photoreceptors, etc.) or increase the length of neurites in neurons, and are therefore advantageous for the prevention or treatment of retinal neurological disorders and / or neuropathic pain.

The present invention discloses a diffusion relaxation spectroscopy imaging method for measuring brain microstructure, comprising: acquiring diffusion magnetic resonance data of a target object at multiple echo times and multiple b values; establishing a diffusion relaxation spectroscopy imaging model for multi-tissue brain microstructure; obtaining diffusion relaxation times and diffusion sensitivity coefficient spectra of multi-tissue brain microstructure through a multi-parameter joint optimization method based on spherical averaging technique; and characterizing the obtained relaxation times, brain tissue volume fractions, and distribution functions to obtain brain tissue microstructure parameters. The present invention can provide tissue composition-specific non-T2-weighted intraneurite fraction and free water fraction, and solves the TE-dependence of traditional composition fractions.

A method of analyzing neurons includes: identifying a cell region by identifying a region of a neurite or a region of a cell body of a neuron on the basis of time-series images obtained by imaging the neuron in time series; detecting aggregates by imaging, in time series, first fluorescent protein tagged to specific protein expressed in the neuron and detecting presence or absence of aggregates of the specific protein aggregated in the region of the neurite or the region of the cell body identified in the identifying the cell region on the basis of luminance of the first fluorescent protein included in the time-series images; and performing an analysis by classifying the neuron into a plurality of groups on the basis of a detection result of the detecting the aggregates and analyzing a survival state of the neuron for each of the groups.