3 results about "Diabetic heart" patented technology

The application of CpG oligonucleotides in drugs for diabetic cardiac autonomic neuropathy: Experiments have confirmed that CpG oligonucleotide 1826 can reduce the activation of satellite glial cells in the stellate ganglion and the expression of inflammatory cytokines, inhibit the expression of purine 2Y12 receptors, and reduce lipid peroxidation damage to alleviate ferroptosis in stellate ganglion neurons, thereby improving cardiac autonomic nerve function. Examples of CpG oligonucleotide 1826 demonstrate that CPG-ODN with anti-inflammatory effects or with anti-damage protective effects on the sympathetic nervous system has preventive and therapeutic effects in diabetic cardiac autonomic neuropathy and sympathetic nerve injury-related diseases.

The present invention relates to a composition for preventing or treating diabetic cardiomyopathy comprising an MsrB2 activator as an active ingredient. The MsrB2 activator disclosed in the present invention suppresses oxidative damage of ROS, induces autophagy in mitophagy, increases mitochondrial regeneration and biosynthesis in diabetic heart tissue, thereby suppressing overall myocardial function decline, so that it can be effectively used in a pharmaceutical composition or health food composition for preventing or treating diabetic cardiomyopathy, particularly diabetic heart disease in lean diabetes.

This invention provides a computer-aided analysis system based on high-throughput sequencing data and knowledge graphs, including a data access agent, a quality control analysis agent, a species annotation agent, a knowledge graph reasoning agent, a report generation agent, and an agent scheduling center. The data access agent acquires sequencing data and clinical phenotypic data; the quality control analysis agent performs quality control using the Illumina NovaSeq platform, V3-V4 primers, the SILVA v144 database, Q30 ≥ 90%, and sequences ≥ 50 bp; the species annotation agent performs species classification annotation based on a reference database; the knowledge graph reasoning agent performs association analysis based on a microbiome-disease-intervention knowledge graph, using ET_MGNN and RTGN models, including 264 search keywords covering dental caries, periodontitis, oral cancer, Alzheimer's disease, diabetes, and heart disease; the report generation agent generates personalized analysis reports and intervention suggestions; and the agent scheduling center manages and dynamically schedules all agents, forming a complete closed loop of "perception → analysis → diagnosis → intervention → execution → feedback".