Patent classifications
C08B37/0069
PRIMARY AMINE COMPOUND OR SECONDARY AMINE COMPOUND-ACIDIC POLYSACCHARIDE CONJUGATE AND PRODUCTION METHOD THEREFOR
Provided is a novel conjugate of a primary or secondary amine compound with an acidic polysaccharide, which is a compound represented by Formula (I) or a pharmaceutically acceptable salt thereof, where in Formula (I), D, R.sup.1, R.sup.2, A, and Poly are as defined in the specification.
Crosslinked chondroitin sulfate, composition containing same, and treatment agent for eye disease
Provided is a chondroitin sulfate derivative having a cross-linked structure through a group in a polyvalent amine. Also provided is a composition containing the chondroitin sulfate derivative. Also provided are an agent and method for the treatment of an eye disease, the agent and method having a therapeutic effect on a corneal epithelial disorder and/or dry eye.
SKELETAL MUSCLE REGENERATION IN VOLUMETRIC MUSCLE LOSS USING BIOMIMETIC GLYCOSAMINOGLYCAN-BASED HYDROGEL
Volumetric muscle loss (VML) injuries characterized by critical loss of skeletal muscle tissues result in severe functional impairment. Current treatments involving use of muscle grafts are limited by tissue availability and donor site morbidity. The present application relates to methods and composition matters for skeletal muscle healing and regeneration for a patient with volumetric muscle loss using a glycosaminoglycan-based hydrogel, wherein said hydrogel for skeletal muscle regeneration comprises functionalized hyaluronic acid (HA), functionalized chondroitin sulfate (CS) and poly(ethylene glycol) diacrylate (PEGDA), wherein said HA and said CS are cross-linked by said PEGDA.
Mixture of fucosylated chondroitin sulfate oligosaccharides and method for rapidly producing the same
The present invention discloses a mixture of fucosylated chondroitin sulfate oligosaccharides having an average molecular weight between 2700 Da and 3600 Da, in which 90% of total components has a molecular weight between 1800 Da and 5400 Da. The mixture of fucosylated chondroitin sulfate oligosaccharide of the present invention has very low anti-FIIa factor activity, very low anti-FXa factor activity, very high anti-FXase factor activity, i.e., having a significant activity in selectively inhibiting intrinsic FXase, and a significant antithrombotic activity and no risk of bleeding and hypotension that are proved through animal experiments. The present invention also discloses a method for rapidly producing fucosylated chondroitin sulfate oligosaccharides by using sea cucumber as raw material, and the method includes: intercepting and concentrating crude polysaccharide with a membrane, deacetylation with hydrazine, pyrolysis with nitrous acid, reduction with sodium borohydride, membrane separation, etc., achieving rapid preparation and high yield.
Hydrolysis of ester bonds in amide crosslinked glycosaminoglycans
A method of preparing a hydrogel product comprising crosslinked glycosaminoglycan molecules, said method including: i) providing a glycosaminoglycan crosslinked by amide bonds, wherein the crosslinked glycosaminoglycans include ester crosslinks formed as byproducts during the amide crosslinking; and ii) subjecting the crosslinked glycosaminoglycans to alkaline treatment to hydrolyze ester crosslinks formed as byproducts during the amide crosslinking.
METHOD FOR DEACETYLATION OF BIOPOLYMERS
A method for at least partial deacetylation of a biopolymer comprising acetyl groups, including: a1) providing a biopolymer including acetyl groups; a2) reacting the biopolymer including acetyl groups with hydroxylamine (NH.sub.2OH) or a salt thereof at a temperature of 100° C. or less for 2-200 hours to form an at least partially deacetylated biopolymer; and a3) recovering the at least partially deacetylated biopolymer.
Hydrogen sulfide releasing polymer compounds
The invention provides a hydrogen sulfide releasing polymer compound having a polysaccharide backbone, wherein the compound has at least two substructures, and wherein said substructures are capable of releasing hydrogen sulfide by thiol activation as well as uses thereof. Additionally, a method of treatment and prevention of a skin condition, an ocular disease or osteoarthritis is provided.
Crosslinked polymeric network and use thereof
A crosslinked polymeric network is disclosed. The crosslinked polymeric network comprises a reaction product of a first glycosaminoglycan, a second glycosaminoglycan, and a crosslinking agent, wherein the first glycosaminoglycan is different than the second glycosaminoglycan.
CHONDROITIN SULFATE POLYSACCHARIDE, AND SEMI-SYNTHETIC PREPARATION METHOD THEREFOR AND USE THEREOF
The present invention relates to the technical field of medicine, in particular to a chondroitin sulfate polysaccharide, and a semi-synthetic preparation method therefor and the use thereof. A metal salt of the chondroitin sulfate polysaccharide provided by the present invention has an anti-inflammatory effect, and can be used for preparing a drug against inflammatory diseases. In particular, the metal salt of the chondroitin sulfate polysaccharide provided by the present invention has anti-inflammatory and bone-protecting effects, and can be used for preparing a drug against rheumatoid arthritis and for preparing a drug against osteoarthritis. The present invention provides a method for preparing the metal salt of the chondroitin sulfate polysaccharide, and the metal salt of the chondroitin sulfate polysaccharide with different degrees of sulfation can be obtained by semi-synthetic means in the present invention. The method is simple to operate and suitable for large-scale production.
Solid state nanopores aided by machine learning for identification and quantification of heparins and glycosaminoglycans
The present disclosure provides a method for identifying and quantifying sulfated glycosaminoglycans, including for example heparin, by passing a sample through nanopores. The glycosaminoglycans sample is measured in microliter quantities, at nanomolar concentrations with detection of impurities below 0.5%, and a dynamic range over five decades of magnitude with a trained machine learning algorithm.