27 results about "Hypermetabolism" patented technology

The invention relates to Escherichia coli for producing 2 '-fucosyllactose as well as a construction method and application of the Escherichia coli, and belongs to the technical field of genetic engineering. A CRISPR / Cas9 system is used for transforming a genome of escherichia coli MG1655, a wcaJ gene and a lacZ gene are knocked out, the utilization rate of lactose and GDP-L-fucose in a metabolic pathway is increased, a promoter of a lacY gene is replaced with PJ23119, an alpha-1, 2-fucosyltransferase mutant with a dissolution promoting tag GST added to the N end is heterologously introduced, the expression quantity of the alpha-1, 2-fucosyltransferase mutant is increased through multi-copy integration, and the expression quantity of the alpha-1, 2-fucosyltransferase mutant is increased. Meanwhile, a gmd gene, an fcl gene, a manB gene and a manC gene are co-expressed at proper sites, so that the synthesis route of the GDP-L-fucose is optimized. The strain obtained through transformation can efficiently convert lactose into 2 '-FL and has the advantages of being low in metabolic burden, sufficient in precursor supply, high in enzyme stability and the like, the construction method is clear in step and suitable for industrial production, the yield of 2'-FL can be remarkably increased through microbial agents and fermentation application, and the production cost is reduced.

Methods and compositions promote weight loss in mammals, such as in humans and / or animals, such as, for example, pets. Specifically, the methods and compositions herein promote weight loss due to the production of appetite-suppressing gut hormones, increased metabolism, reduced fat and carbohydrate absorption, and reduced fat deposition through the synergistic combination of fibers and botanical extracts. Food products comprising the compositions herein provide a natural and effective means of controlling appetite and managing weight.

According to the pyridazinone derivative and the < 18 > F radiomarker thereof, the pyridazinone derivative and the < 18 > F radiomarker thereof have good hydrophilicity and metabolic pathway and can reduce uptake of non-target organs such as liver and the like, so that a better imaging effect is obtained; and mild and efficient direct 18F labeling can be carried out on drug molecules through a leaving group mediated nucleophilic substitution reaction, so that large-scale clinical popularization is facilitated. Animal experiment results show that the < 18 > F-labeled pyridazinone derivative provided by the invention has better in-vitro stability, heart-to-liver ratio, heart-blood ratio and heart-lung ratio than reported molecular probes, is high in myocardial uptake and rapid in metabolism in small animal bodies, is obvious in myocardial defect display, and can be used for preparing the < 18 > F-labeled pyridazinone derivative. The kit has a wide application prospect in diagnosis of diseases such as coronary heart disease with abnormal mitochondrial function as a marker.

The invention discloses a personalized nutrition assessment system and method based on an olfactory chip, and relates to the technical field of nutrition assessment. Time migration of cross-device data is effectively eliminated based on a dynamic time warping algorithm of a constraint window, and a resampling mechanism is triggered by combining an event; accurate alignment of multi-source heterogeneous data is achieved, and the problem of recommendation conflicts caused by data asynchronization of a traditional system is fundamentally solved; key physiological events such as ingestion and hypermetabolism are dynamically recognized through attention weight distribution and gradient boosting tree models depended on in the metabolism stage, so that a nutrition recommendation strategy is highly matched with the real-time metabolism demand of a user.

Compositions and methods for administering ketone bodies to a subject include a ketone body or ketone body precursor complexed with or coupled to at least one amino acid. The compositions and methods cause one or more of: weight loss, weight maintenance, reduced blood glucose level, maintenance of blood glucose level, increased muscle and physical performance, enhanced metabolic and cellular repair, improved detoxification and gut health, targeted bioavailability, sustained release and controlled absorption, increased metabolic efficiency, enhanced cellular uptake, minimized side effects, multifunctional therapeutics, improved focus, improved energy, improved cognitive function, improved mental acuity, treatment of traumatic brain injury, treatment of diabetes, treatment of neurological disorder, treatment of cancer, treatment of inflammatory condition, appetite suppression, anti-aging effects, anti-glycation effects, treatment of epilepsy, treatment of depression, improved performance, improved muscle mass, improved motor function, increased strength, increased metabolism, increased fat loss, increased fat oxidation, improved body composition, and improved mood.

The invention discloses a nutrition allocation recommendation method used after a surgical operation, and relates to the technical field of clinical medicine, and the method comprises the following specific steps: stage division, stage preparation formula design, supply adjustment and stage conversion recommendation and monitoring, and scheme optimization. Postoperative nutrition allocation is divided into three stages, namely an adaptive feeding stage, a transitional nutrition stage and a comprehensive nutrition support stage, and an enteral nutrition preparation with a specific ratio is designed for each stage, so that high synchronization of nutrition supply and postoperative physiological metabolism characteristics is ensured; in the first stage, a hypotonic formula mainly comprising oligopeptide and free amino acid is adopted, so that the intestinal mucosa function is effectively protected, and intestinal peristalsis is promoted; in the second stage, by increasing the proportion of intact protein and soluble dietary fibers, energy and protein supply is improved, and the high metabolism requirement of the body is met; in the third stage, comprehensive and sufficient nutrition support is provided, and tissue repair and physical recovery are accelerated.

This disclosure describes the characteristics of the “energetic” cancer stem cell (e-CSC) phenotype. This distinct sub-population of cancer stem cells (CSCs) has a unique energetic profile compared to bulk CSCs, being more glycolitic, having higher mitochondrial mass and elevated oxidative metabolism. e-CSCs also show an increased capacity to undergo cell cycle progression, enhanced anchorage-independent growth, and ALDH-positivity. The e-CSC phenotype presents new targets for cancer therapeutics, and in particular the anti-oxidant response, mitochondrial energy production, and mitochondrial biogenesis of e-CSCs makes them highly susceptible to mitochondrial inhibitors that target e-CSC anti-oxidant response, mitochondrial energy production, and mitochondrial biogenesis. Gene products for e-CSCs are disclosed, as well as classes of mitochondrial inhibiting therapeutic agents. Also disclosed are methods for identifying and separating e-CSCs front bulk cell populations.

The invention relates to a weight-losing composition and application thereof. The weight-losing composition is prepared from the following components in parts by weight: 10 to 20 parts of flaxseed oil powder, 10 to 20 parts of coconut water raw powder, 5 to 10 parts of galactooligosaccharide, 1 to 5 parts of white kidney bean-potato composite extract, 1 to 5 parts of psyllium husk powder and 0.1 to 1 part of epigallocatechin gallate. According to the weight-losing composition disclosed by the invention, through multi-dimensional synergy of energy metabolism enhancement, lipolysis blocking, intestinal micro-ecological regulation and blood sugar and appetite regulation and control, the efficacy of a single component is amplified, and the synergy effects of improving metabolism and reducing fat and weight are finally realized.

This invention relates to a weight-loss composition and its application. The weight-loss composition comprises the following components in parts by weight: 10-20 parts flaxseed oil powder, 10-20 parts coconut water powder, 5-10 parts galactooligosaccharides, 1-5 parts white kidney bean-potato complex extract, 1-5 parts psyllium husk powder, and 0.1-1 parts epigallocatechin gallate. The weight-loss composition of this invention amplifies the efficacy of individual components through multi-dimensional synergistic effects of enhanced energy metabolism, blocked fat breakdown, regulated gut microbiota, and controlled blood sugar and appetite, ultimately achieving a synergistic effect of improved metabolism and weight loss.

The invention discloses a metabolite identification method based on a knowledge and data double-layer driving network, and relates to the technical field of data processing. Comprising the following steps: introducing a knowledge and data double-layer driving network, and determining a first metabolite having a mapping relationship with metabolic characteristics in liquid chromatogram-mass spectrum combined data by utilizing a mapping relationship between metabolites in a metabolite hierarchical network and metabolic characteristics in a metabolic characteristic hierarchical network, in combination with a reaction relationship between every two metabolites in the metabolite hierarchical network, determining neighbor metabolites having a reaction relationship with the first metabolite and neighbor metabolic characteristics having an association relationship with the first metabolic characteristics in a maximum range, so as to determine the neighbor metabolites having the association relationship with the first metabolic characteristics based on the neighbor metabolic characteristics and the neighbor metabolites matched with the neighbor metabolic characteristics; the metabolite annotation result of the analyte is generated, the coverage degree of metabolite annotation is improved, the time for determining the chemical structure of the metabolite can be shortened without manual participation, the metabolite annotation efficiency is improved, and accurate qualitative and accurate quantitative performance of the metabolite is improved.

A computer-implemented machine learning system for, and method of, detecting a hypermetabolic cancer based on a nuclear magnetic resonance spectrum of a patient biofluid is presented. The techniques includes obtaining a nuclear magnetic resonance spectrum of a patient biofluid; providing the nuclear magnetic resonance spectrum to a machine learning system trained with a training corpus, the training corpus including a group of normal biofluid nuclear magnetic resonance spectra and a group of hypermetabolic cancer biofluid nuclear magnetic resonance spectra; and supplying an indication based on an output of the machine learning system, where the indication is representative of whether the nuclear magnetic resonance spectrum of the patient biofluid is indicative of cancer.

To provide a production method that enables more accurate evaluation of a cell state and improvement of a metabolite yield.SOLUTION: A production method of the present invention is a production method for producing a metabolite by culturing cells, the method having a measurement step of individually measuring a physical quantity that changes due to at least one of metabolic activity and stress activity of the cells, an evaluation step of individually evaluating an activity state of the cells based on measurement results of the physical quantity, and a culturing step of culturing the cells.SELECTED DRAWING: Figure 1

The invention provides a multi-lineage liver organ metabolic maturation method and application, and the method can significantly improve the expression level of metabolism-related genes on the premise of maintaining various cell types related to liver physiology. Comprise drug metabolism (phase I metabolic enzyme, phase II metabolic enzyme and phase III transporter), lipid metabolism, glycometabolism, bile acid metabolism related markers and the like; moreover, the overall expression profile is close to that of primary liver tissues, and the mature liver organs produced by the method are particularly suitable for the applications of preclinical drug hepatotoxicity screening, metabolism evaluation and the like.

The ginseng drink comprises the following components in parts by weight: 4-8 parts of ginseng, 1-3 parts of donkey-hide gelatin, 4-8 parts of lily bulbs, 7-11 parts of Chinese dates, 1-5 parts of poria cocos, 4-8 parts of sweet-scented osmanthus, 7-11 parts of Chinese wolfberry fruits, 7-11 parts of dandelions, 10-14 parts of dried orange peel, 4-8 parts of peach kernels, 4-8 parts of licorice roots and 1-5 parts of honey. The invention belongs to the technical field of traditional Chinese medicines and drinks, and particularly relates to a ginseng drink for improving sequelae of influenza, which can achieve the effects of reinforcing vital energy, replenishing blood and qi, improving metabolism and resisting aging, can calm the heart, relieve restlessness, soothe the nerves and improve sleep quality, and has the effects of clearing away heat and toxic materials, preventing phlegm from forming and stopping coughing, and nourishing the mind and improving eyesight. The ginseng drink achieves the technical effects of tonifying yang, warming uterus, preventing hair loss, white hair, frequent micturition, urgent micturition and the like, is mild in comprehensive ingredients, improves the living quality, reduces risks, and has excellent treatment effects on adjuvant therapy of influenza A and influenza, rapid body recovery after influenza and sequelae rehabilitation.

The invention provides a self-adaptive digital comprehensive intervention method and system for schizophrenia with metabolic syndrome patients, and relates to the technical field of medical health management. Metabolic indexes such as diet, exercise, body weight, blood pressure and blood sugar are collected, and a metabolic risk assessment model is constructed in combination with drug use types and doses in an electronic medical record so as to determine a metabolic risk level; according to a cognitive score self-adaptive interface presentation mode, the intervention scheme is split into micro-tasks to be pushed and executed; when the patient completes the micro-task, a result is synchronized to the family supporter, and integral incentive is carried out; in the follow-up visit stage, metabolic index changes are continuously monitored, abnormal trends are recognized, early warning reports are generated, and the early warning reports are pushed to medical staff after being confirmed by patients so as to trigger timely medical intervention. According to the invention, closed-loop intervention integrating metabolism management, medication risk adjustment, cognitive adaptation interaction and family support excitation is realized, and the accuracy and effectiveness of metabolism risk control are improved.

The invention provides a metabolic acidosis risk assessment method and device, electronic equipment and a storage medium. The method comprises the following steps: allocating an initial metabolic acidosis risk level to a target patient based on initial medical data of the target patient, and determining an initial detection item set of the target patient based on the initial metabolic acidosis risk level; wherein the metabolic acidosis risk grade is divided into high risk, medium risk and low risk; dynamically updating the metabolic acidosis risk level of the target patient and the matched detection item set based on the real-time medical data corresponding to the detection item set of the target patient, and dynamically updating the metabolic acidosis risk level of the target patient and the matched detection item set based on the real-time metabolic acidosis risk level of the target patient and the real-time medical data corresponding to the detection item set. And carrying out metabolic acidosis risk early warning. The accuracy and efficiency of metabolic acidosis risk assessment can be improved, and then the medical safety and efficiency are greatly improved.

The invention provides a method for synergistically improving fermentation yield of daptomycin based on metabolic flux regulation and control, which comprises the following steps: inoculating a daptomycin seed solution into a daptomycin fermentation culture medium for fermentation, supplementing a capric acid precursor in stages in the fermentation process, coupling a carbon source for starvation induction, adding acetyl coenzyme A to relieve a metabolic bottleneck at the same time, and carrying out fermentation to obtain the daptomycin fermentation yield. And feeding the corn steep liquor and the amino acid powder in a fermentation secondary metabolism stage, and controlling the synthesis direction in combination with feeding, so that the metabolic flux and the precursor utilization rate are improved, and the daptomycin is obtained. In the fermentation process, capric acid precursors are supplemented in stages, carbon source starvation induction is coupled, meanwhile, acetyl coenzyme A is added to relieve the metabolic bottleneck, corn steep liquor and amino acid powder are fed in the fermentation secondary metabolism stage, the synthesis direction is controlled in combination with material supplementation, the metabolic flux and the precursor utilization rate are improved, and therefore main components are increased, and impurities are reduced.

The present invention provides a method and application for metabolic maturation of multi-lineage liver organoids. This method can significantly increase the expression levels of metabolism-related genes, including drug metabolism (phase I metabolic enzymes, phase II metabolic enzymes and phase III transporters), lipid metabolism, sugar metabolism, and bile acid metabolism-related markers, while maintaining multiple cell types related to liver physiology; and the overall expression profile is close to that of primary liver tissue. The mature liver organoids produced by this method are particularly suitable for applications such as hepatotoxicity screening and metabolic evaluation of preclinical drugs.

The present invention relates to metabolically stable compounds that modulate the binding of AURKA to its interacting proteins, especially TPX2. The compounds of the present invention have high therapeutic efficiency due to its high metabolic stability and low toxicity. The present invention also pertains to the use of such compounds in the prevention and / or treatment of proliferative diseases, such as cancer, and kits comprising the same.

The invention relates to the technical field of tumor imaging, in particular to a < 68 > Ga-labeled targeted VLA-4 molecular probe and a preparation method and application thereof. The invention relates to a < 68 > Ga-labeled targeted VLA-4 molecular probe and a preparation method and application thereof, the < 68 > Ga-labeled targeted VLA-4 molecular probe not only has the advantage of adopting < 68 > Ga labeling, but also has specific targeting to VLA-4 protein, and is low in background interference, high in specificity and high in sensitivity. Furthermore, malignant melanin tumors or other potential VLA-4 positive tumors can be effectively distinguished from normal tissues with high metabolic activity, and the metastasis potential of black tumors or other potential VLA-4 positive tumors can be accurately evaluated.

The invention discloses a metabolic rate detection method and system and a wearable sensor. The method comprises the following steps: acquiring a metabolic rate parameter of a target object; the metabolic rate parameters comprise heart rate, skin resistance, muscle rate or local heat loss parameters; the local heat loss parameter is used for representing a measurement result of a target detection part of the target object based on the local heat loss measurement module; determining local surface heat loss according to the local heat loss parameter; determining whole-body total heat loss and whole-body unit heat loss according to the local surface heat loss and the convective heat loss coefficient of the target detection part; the convective heat loss coefficient is the proportion of the convective heat loss of the target detection part in the convective heat loss of all parts; and determining the metabolic rate of the target object according to the whole body unit heat loss, the heart rate, the skin resistance and the muscle rate. The accuracy of metabolic rate measurement is improved, and the size and the cost of a corresponding detection system are reduced. The method can be widely applied to the technical field of metabolic rate evaluation.

Compositions and methods for administering ketone bodies to a subject include a ketone body or ketone body precursor complexed with or coupled to at least one amino acid. The compositions and methods cause one or more of: weight loss, weight maintenance, reduced blood glucose level, maintenance of blood glucose level, increased muscle and physical performance, enhanced metabolic and cellular repair, improved detoxification and gut health, targeted bioavailability, sustained release and controlled absorption, increased metabolic efficiency, enhanced cellular uptake, minimized side effects, multifunctional therapeutics, improved focus, improved energy, improved cognitive function, improved mental acuity, treatment of traumatic brain injury, treatment of diabetes, treatment of neurological disorder, treatment of cancer, treatment of inflammatory condition, appetite suppression, anti-aging effects, anti-glycation effects, treatment of epilepsy, treatment of depression, improved performance, improved muscle mass, improved motor function, increased strength, increased metabolism, increased fat loss, increased fat oxidation, improved body composition, and improved mood.

The application provides an AKG-containing anti-aging functional food raw material with improved metabolic absorption rate, which is composed of the following components in parts by weight: diketopiperazine (AKG) 10-30 parts, black pepper extract 1-5 parts, turmeric 5-15 parts, and glutathione 8-20 parts; wherein the content of piperine in the black pepper extract is not less than 95%; and the glutathione is reduced glutathione with a purity of not less than 98.0%. The application takes AKG as a core synergistic absorption carrier, fully utilizes its inherent properties of regulating intestinal microenvironment, promoting intestinal mucosal repair, and activating absorption-related signal pathways, and forms a closed-loop synergy with the metabolic enzyme inhibition of black pepper extract, the intestinal anti-inflammatory effect of turmeric extract, and the antioxidant protection effect of glutathione, so as to crack the oral absorption barrier of the three core functional components from multiple dimensions and improve the metabolic absorption rate.

The invention discloses a metabonomics method and a metabonomics device for detecting serum and kidney tissue of a hyperuricemia renal injury rat based on HPLC-MS. The metabonomics method comprises the following steps: (1) collecting and storing a sample; (2) sample pretreatment; (3) carrying out UHPLC-MS detection; (4) data analysis; according to the method, by optimizing a sample pretreatment process and detection conditions, metabolite spectrums of serum and kidney tissues of the hyperuricemia renal injury rats can be reserved to the greatest extent for subsequent data analysis, the extraction efficiency and detection sensitivity of the metabolite are improved, and meanwhile, by combining an advanced data analysis means, the detection sensitivity of the metabolite is improved. Metabolic characteristics of the hyperuricemia renal injury are comprehensively disclosed, and the method is stable and reproducible, so that the detection result has higher directivity.

The invention provides a PET brain image choroid development elimination method and a storage medium, and the method comprises an image acquisition step, a preprocessing step, a model establishment step, a model training step and an input step, and comprises the following steps: acquiring PET negative and positive development images of TSPO (18F-DPA714) and Tau protein (18F-Florootau); in combination with clinical image data of neurodegenerative diseases such as Alzheimer's disease (AD) and progressive suprakaryotic paralysis (PSP), high metabolic signals of choroids are accurately distinguished by using a GAN model; a deep learning generative adversarial network is adopted, a PET image processing flow is optimized, and interference of choroid high-development signals is reduced; by comparing positive and negative developing images, the developing precision of lesion tissues is enhanced, automatic elimination of choroid signals in PET images is realized, and the accuracy of image analysis is improved.

A metabolic measurement device and method based on gas concentration and respiratory mechanics parameter fusion, comprising a main control module, a gas concentration measurement module, a respiratory mechanics parameter measurement module, a metabolic parameter calculation module, and a gas concentration measurement and respiratory mechanics measurement integrated adapter; a sensing part of a respiratory mechanics sensor is arranged inside a hollow adapter main body; the metabolic parameter calculation module obtains real-time gas concentration from the gas concentration measurement module and obtains respiratory mechanics parameters from the respiratory mechanics parameter measurement module; and the metabolic parameter calculation module calculates metabolic parameters based on the gas concentration and the respiratory mechanics parameters. The measurement of gas concentration, respiratory mechanics parameters and metabolic parameters can be completed simultaneously, the measurement efficiency is improved, and the comprehensive cost of multi-parameter measurement is reduced. The metabolic parameters of a single breathing beat can be obtained, the respiratory mechanics parameters and the gas concentration are sampled at relatively close positions, the data synergy and consistency are higher, and the accuracy and consistency of metabolic synchronous calculation can be improved.