160 results about "Disease activity" patented technology

The invention discloses a Crohn disease focus automatic segmentation and activity evaluation system based on deep learning, which belongs to the field of medical artificial intelligence and comprises a data preprocessing unit, a focus automatic segmentation unit, a radiomics feature extraction unit, a feature screening and dimension reduction unit and an activity classification unit. According to the method, an nnU-Net deep learning segmentation model is combined with image omics feature extraction, multi-stage feature screening and machine learning classification technologies, so that full-process automation from CTE image preprocessing, focus automatic segmentation, feature extraction and screening to activity classification is realized. The system can efficiently and accurately segment the focus of Crohn's disease, automatically assesses the disease activity based on the screened key radiomics characteristics, significantly improves the consistency, objectivity and efficiency of diagnosis, and is suitable for clinical auxiliary diagnosis and scientific research analysis.

The invention relates to the technical field of biological medicine, in particular to an ulcerative colitis disease clearance evaluation molecular marker and application thereof. By detecting the expression level of the HMGCS2 gene in a sample, the ulcerative colitis disease clearance state and disease activity period can be evaluated, and the method is used for curative effect monitoring, recurrence prediction and individualized treatment strategy formulation of ulcerative colitis and has important clinical application value and market prospect.

A method for characterizing disease activity in a systemic lupus erythematosus patient (SLE), comprising obtaining a dataset associated with a blood, serum, plasma or urine sample from the patient, assessing the dataset for a presence or an amount of protein expression of at least one innate serum or plasma mediator, assessing the dataset for a presence or an amount of protein expression of at least one adaptive serum or plasma mediator biomarker, assessing the dataset for a presence or an amount of at least one chemokine / adhesion molecule biomarker, assessing the dataset for a presence or an amount of at least one soluble TNF superfamily biomarker, assessing the dataset for a presence or an amount of at least one inflammatory mediator biomarker, assessing the dataset for a presence or an amount at least one SLE-associated autoantibody specificity biomarker and calculating a Lupus Disease Activity Immune Index (LDAII) score.

This paper discusses a strain of Bifidobacterium animalis subsp. lactis B7 and its composition and applications, belonging to the field of microbial technology. The specific strain is Bifidobacterium animalis subsp. lactis B7. Bifidobacterium animalis subsp. lactis Bifidobacterium lactis subspecies B7 was deposited at the China Center for Type Culture Collection on April 19, 2024, with accession number CCTCC NO: M2024734. This invention also discloses the application of the B7 fermentation composition in the preparation of drugs for the prevention and treatment of ulcerative colitis, constipation, and constipation-predominant ulcerative colitis. This animal bifidobacterium lactis subspecies B7 produces high levels of short-chain fatty acids and indolepropionic acid, utilizes sulforaphane to generate sulforaphane, increases intestinal peristalsis, effectively alleviates the disease activity index (DAI) and weight loss caused by ulcerative colitis or inflammatory bowel disease, significantly reduces colonic damage in mice, protects the mucosal layer, has anti-inflammatory effects, inhibits pathogens, and improves intestinal barrier function.

The application discloses application of a product for detecting metabolite levels in serum in preparation of a preparation for diagnosing systemic lupus erythematosus (SLE) and SLE patients with different organ involvement phenotypes and a reagent. The application first uses specific serum biomarkers to assist in screening SLE, SLE with different disease activity and SLE patients with different organ phenotypes, including only kidney involvement systemic lupus erythematosus (KI), only skin involvement systemic lupus erythematosus (SI), only blood system involvement systemic lupus erythematosus (BI) and multi-system involvement systemic lupus erythematosus (MI), thereby opening up a new way for the diagnosis of the field and helping to more accurately diagnose and evaluate the disease progression of SLE. The blood specimen required is small, easy to carry out and has a good application prospect.

The present invention relates to a composition for preventing or treating inflammatory diseases, comprising a Lactobacillus sakei CVL-001 strain. The composition activates NOD2, which is an inflammation regulator, and exhibits the effects of inhibiting weight loss and improving clinical activity scores (disease activity index; DAI) in an animal model in which ulcerative colitis is induced, and thus the present invention can be effectively used in the prevention, treatment or alleviation of inflammatory diseases.

Disclosed herein are methods of treating ALS in a subject by administering to the subject a therapeutically effective amount of a composition comprising, for example, EV derived from nerve cells, such as neural progenitor cells. The EVs may be administered distally or peripherally to the CNS such that these EVs cross the blood-brain barrier and exert their therapeutic function in the CNS. The methods may reduce inflammation (e.g., NLRP3 inflammatory pathway signaling), reduce disease activity or progression, and / or improve motor or neurological performance, signs or symptoms associated with ALS, or survival in an ALS subject as compared to a control ALS subject. Also provided are methods of inhibiting necroptosis in a cell by contacting the cell with a therapeutically effective amount of a composition comprising EV.

The invention discloses application of an ATP (adenosine triphosphate) citrate lyase (ACLY) inhibitor in preparation of a medicine for treating leucoderma, and belongs to the technical field of preparation of medicines for treating leucoderma. Through targeted inhibition of ACLY activity or specific knockout of ACLY in CD8 + T cells, abnormal activation of ACLY and secretion of killing effector molecules (Granzyme B, IFN-gamma, Perforin and the like) are inhibited, and infiltration of the CD8 + T cells to skin lesion parts is reduced, so that melanocytes are protected from immune injury, and the progress of vitiligo is blocked. The application is based on the abnormally high expression of ACLY in CD8 + T cells of vitiligo patients and the close association with disease activity, and a brand new targeted treatment thought and a medicine research and development direction are provided for vitiligo.

Provided herein is a methods for monitoring inflammatory disease activity in a subject comprising: (i) obtaining a sample from the subject; and (ii) measuring an autoantibody concentration in the sample using an immunoassay. Optionally, the inflammatory disease is rheumatoid arthritis (RA). Optionally, the autoantibody is an anti-citrullinated vimentin autoantibody (anti-Sa) or an anti-carbamylated protein autoantibody (anti-CarP). Optionally, the autoantibody concentration is correlated to a multi-disease biomarker activity (MBDA) score. Also provided herein are systems and kits for performing the method described herein.

The invention discloses a dynamic prediction method for a rheumatoid arthritis patient based on multi-modal data fusion and deep learning, and the method is characterized in that a cross-modal attention fusion module is adopted, and the module does not simply splice all features, but learns the mutual dependency relationship between different modal features, and is used for predicting the dynamic prediction of the rheumatoid arthritis patient. Generating an enhanced feature vector capable of representing the synergistic effect; then, the enhanced feature vector and each original modal feature are sent into a gating fusion unit together to adaptively screen and integrate the most critical information for the current prediction task to form a comprehensive'patient current state snapshot '; and finally, inputting a series of state snapshots arranged according to a time sequence into an upper-layer time sequence LSTM model, thereby realizing dynamic prediction of a future disease activity trajectory and a recurrence risk of the patient. According to the method, through a refined fusion strategy and time sequence dynamic deep modeling, the prediction accuracy and interpretability are remarkably improved.

The application discloses an application of Bacteroides intestinalis in preventing and / or treating ulcerative colitis and belongs to the field of biopharmacy. The application claims the use of Bacteroides intestinalis in preparing a medicine or a composition for preventing and / or treating ulcerative colitis. It is found that Bacteroides intestinalis can significantly inhibit the weight loss of a mouse model of ulcerative colitis, reduce a disease activity index, repair colon tissue damage, and down-regulate the expression level of a proinflammatory factor of the organism, and thus has a clear preventive and / or therapeutic effect on ulcerative colitis and has a good clinical transformation application prospect. Therefore, the Bacteroides intestinalis has a prospect of being developed into a medicine or a composition for preventing and / or treating ulcerative colitis.

The invention belongs to the field of biological medicine, and particularly relates to application of soluble B7-H5 in preparation of a Crohn disease detection reagent. According to the invention, the level of soluble B7-H5 (sB7-H5) in serum of a patient suffering from Crohn's disease (CD) is deeply analyzed by using an ELISA (Enzyme-Linked Immunosorbent Assay) technology. Studies find that sB7-H5 in serum of a CD patient is remarkably and highly expressed and is positively correlated with a disease activity index (CDAI). Further experimental verification shows that blocking of B7-H5 can promote polarization of inflammatory macrophages. Based on the discoveries, the invention provides the application of the serum B7-H5 as the molecular marker of the Crohn's disease to development of products for detection, prognosis or treatment of the Crohn's disease. The molecular marker can be in a soluble B7-H5 gene or protein form. The invention also shows that the B7-H5 can be used as a potential target for developing the medicine for preventing and treating the Crohn disease, and has important clinical application value.

This application discloses the application of dasabuvir as a TRPV4 inhibitor in improving diseases caused by increased TRPV4 expression or enhanced activity, particularly ulcerative colitis. Specifically, it relates to the biomedical field. Dasabuvir is a novel TRPV4 inhibitor that can improve symptoms in a DSS-induced mouse ulcerative colitis model and is suitable for use in TRPV4 inhibitor drugs and ulcerative colitis drugs. In HEK-293 cells overexpressing TRPV4, dasabuvir can dose-dependently inhibit the increase in intracellular calcium ion concentration induced by the TRPV4-specific agonist GSK1016790A within a concentration range of 0.03-30 μM, with an IC50 concentration of [missing information]. 50 At a concentration of 0.27 μM, Dasabuvir is a highly active TRPV4 inhibitor. In a DSS-induced ulcerative colitis model, Dasabuvir can improve weight loss, reduce the disease activity index, alleviate colonic shortening, reduce histopathological changes, and inhibit the expression of inflammatory factors, thus improving ulcerative colitis.

The invention discloses a saliva biomarker and application thereof in rheumatoid arthritis disease activity assessment, and relates to the technical field of biomarkers. The saliva biomarker is one of the secretion amount of saliva extracellular vesicles and the expression level of porphyromonas gingivalis peptidyl arginine deiminase in the saliva extracellular vesicles. Peptidyl arginine deiminase exists in extracellular vesicles secreted by porphyromonas gingivalis in saliva, and in a patient with rheumatoid arthritis, the secretion amount of the extracellular vesicles in the saliva is remarkably increased and is in positive correlation with disease activity; the expression level of porphyromonas gingivalis peptidyl arginine deiminase in saliva extracellular vesicles is remarkably improved and is in positive correlation with disease activity. According to the invention, real noninvasive and high-compliance detection is realized based on a saliva sample, and large-scale screening and long-term management can be realized.

The invention relates to the technical field of nephritis medicine, in particular to an AAGN disease metabolism marker, a kit and application of the AAGN disease metabolism marker. In the blood or urine metabolism marker, the blood metabolism marker is prepared from one or more of 6-methyl nicotinamide, hypo-sulphosarcosine, guanosine, allopurinol, 8-hydroxy-2 '-deoxyguanosine, triglyceride or lysophosphatidylcholine; the urine metabolism markers comprise one or more of D-malic acid, leucyl-alanyl-valine, N-hydroxymethyl nicotinamide, DL-tribulus terrestris alkali, isoxotrexate, 1, 3-dimethyluric acid, leucyl-leucyl-phenylalanine, alloandrosterone, enterodiphenol and p-coumarin, and the urine metabolism markers comprise one or more of D-malic acid, leucyl-alanyl-valine, N-hydroxymethyl nicotinamide, DL-tribulus terrestris alkali, isoxotrexate, 1, 3-dimethyluric acid, leucyl- The metabolic marker combination and the kit are used for evaluating the disease activity state of a patient suffering from ANCA-related glomerulonephritis (AAGN), and have good repeatability, stability and biological correlation.

The invention provides lactobacillus plantarum S7-12, fermented vegetables and application of the lactobacillus plantarum S7-12 and the fermented vegetables, and belongs to the technical field of microbial fermentation, the lactobacillus plantarum S7-12 is preserved in Guangdong Microbial Culture Collection Center, and the preservation number is GDMCC No: 66578. The plant lactobacillus S7-12 has relatively strong growth ability, acid production ability, acid resistance and salt resistance, and fermented vegetables prepared from the plant lactobacillus S7-12 can be used for relieving weight loss and colon shortening caused by inflammatory bowel diseases, reducing disease activity indexes and visceral organ indexes, relieving intestinal mucosa structural damage, relieving oxidative stress injury of colon, and improving the immunity of the vegetables. The release of proinflammatory factors in serum and colon is reduced, the secretion of anti-inflammatory factors is improved, the expression quantity of colon tight junction protein is increased, the TLR4 pathway is activated, and the colon barrier function is improved; the method can be used for preparing health-care foods or medicines, and has a wide application prospect.

The application discloses application of a reagent for detecting a biomarker in preparation of a product for predicting ulcerative colitis disease activity or a product for diagnosing ulcerative colitis disease, and relates to the technical field of serological markers of inflammatory bowel disease. The serum CD105 of a UC patient is significantly higher than that of a healthy control group, and CD105 has a very high effect of diagnosing ulcerative colitis disease, and CD105 can distinguish disease activity from remission. Therefore, the application provides a novel serum marker which is convenient to sample, has good repeatability and can objectively reflect the colon mucosa inflammation load, and is expected to provide more accurate marker selection for UC disease activity prediction and UC diagnosis.

The present disclosure relates to a method, device, and program for providing a service to determine the activity level of a disease on the basis of responses to question information designed to evaluate the activity level of a disease that a user possesses, thereby allowing for quick intervention by a doctor according to the determined activity level. The method includes: collecting symptom information for various diseases; generating multiple pieces of question information and a list of answers for evaluating the activity level for each of the various diseases on the basis of the collected symptom information; acquiring information about the disease that a user possesses; providing the user with question information and an answer list corresponding to the disease that the user possesses; and determining the activity level of the disease that the user possesses on the basis of the answers to the question information obtained from the user.

Provided is a method for determining the likelihood of the onset of IgA nephropathy or the activity of the IgA nephropathy by means of a liquid biopsy of blood other than a highly invasive kidney biopsy or conventionally used proteinuria or hematuria. The present invention is a method for determining the likelihood of the onset of IgA nephropathy or the activity of the disease in a subject animal, said method comprising the steps of: (a) measuring an IgA nephropathy marker protein contained in an IgA immune complex in a blood sample collected from the subject animal; and (b) determining the likelihood of the onset or the activity of the IgA nephropathy in the test animal on the basis of the amount of the IgA nephropathy marker protein, which is a protein contained in an IgA immune complex, measured in the step (a), the IgA nephropathy marker protein being a protein contained in an IgA immune complex, and the IgA nephropathy marker protein being a protein contained in an IgA immune complex. The content of the IgA immune complex in the group of IgA nephropathy patients is greater than the content of the IgA immune complex in the group of healthy persons.

The invention provides a method for evaluating the intestinal toxicity of nano polypropylene plastic, which comprises the following steps of: 1, exposing macrophages in a culture medium containing polypropylene nano particles with different concentrations and / or different particle sizes for culturing, and detecting any one or more of cell survival rate, glucose consumption level, lactic acid production level and glycolysis level; the method 2 comprises the following steps: exposing an enteritis model mouse in the polypropylene nano-plastic, recording the fecal state, hematochezia degree and weight during administration, and / or calculating a disease activity index, and / or detecting the pathological state of the intestinal tract of the mouse. The invention focuses on analyzing the influence of the polypropylene nano-plastic on glycolysis of macrophages, reveals the potential effect of the polypropylene nano-plastic on enteritis progression, and provides theoretical basis and technical support for prevention and treatment of nano-plastic related diseases.

The application relates to application of a reagent for detecting expression levels of a PSIP1 gene or a coded protein LEDGF / p75 in preparation of a product for evaluating systemic lupus erythematosus disease activity, which makes up for the problems of insufficient sensitivity and specificity of existing evaluation indexes; the application also discloses a key role of the PSIP1 gene in a pathogenesis mechanism of systemic lupus erythematosus, and clearly shows the relationship between the PSIP1 gene in T cells and cell cycle arrest, cell aging and abnormal immune function, so as to provide a theoretical basis for target regulation of the PSIP1 to improve T cell function and delay or block disease progression; the application firstly proposes that the expression levels of the PSIP1 / LEDGF / p75 are detected to be used for evaluating systemic lupus erythematosus disease activity, auxiliary diagnosis, prognosis prediction and treatment effect monitoring, so as to provide a brand-new tool and direction for precise diagnosis, activity evaluation, prognosis judgment and future target treatment development of systemic lupus erythematosus.

The invention discloses an MRI (Magnetic Resonance Imaging)-based thyroid eye disease activity assessment method and system, and aims to solve the problems that the deep state is difficult to assess and the subjectivity is strong in the existing clinical activity score. The method comprises the following steps: acquiring and preprocessing a magnetic resonance image and generating a standardized three-dimensional image; automatically segmenting an orbit structure through a deep learning network; extracting multi-parameter image features; calculating a disease activity probability score by using a machine learning classifier; and mapping the probability score into an activity grading result and generating an evaluation report. The system comprises an image data acquisition and preprocessing module, an orbit structure automatic segmentation module, a multi-parameter image feature extraction module, an activity evaluation model construction and reasoning module and a clinical report generation module. According to the technical scheme, image evaluation efficiency and repeatability can be remarkably improved, subjective deviation is reduced, active-stage inflammatory edema and inactive-stage fibrosis are accurately and quantitatively distinguished, evaluation specificity is improved, and support is provided for individualized treatment.

The present application relates to a new use of halogenophenol compound 4,5,2'-trihydroxy-2,5'-dibromobenzophenone, in particular in the preparation of a drug for treating inflammatory bowel disease. The halogenophenol compound of the present application can significantly alleviate the weight loss and colon shortening of the colonitis model, reduce the disease activity index of the colonitis model, reduce the inflammatory cell infiltration of the colonitis model, reduce the expression of inflammatory factors, has an immune regulation function on the intestinal tract, and is superior to the clinical first-line drug mesalazine in most indicators, and has application prospects in the treatment of inflammatory bowel disease.

A method to assess the disease status, determine the mean / average control of the disease and monitor the compliance to treatment over a period of time of a respiratory disease, comprising of predicting the degree of airway inflammation and disease activity by measuring the inflammatory markers, evaluating the mucosal integrity / damage by measuring the moisture levels of the exhaled air, evaluating the breathing function and obstruction by measuring the FEV1 value, and evaluating the symptom control by determining the COPD Score.

The invention relates to the technical field of intestinal inflammation disease prevention and treatment, in particular to a polypeptide for treating ulcerative colitis. The polypeptide provided by the invention is an active heptapeptide derived from natural protein, and has a clear chemical structure and a repeatable preparation process. Research results show that the polypeptide can significantly improve symptoms of mouse ulcerative colitis induced by dextran sodium sulfate (DSS), including weight loss reduction, disease activity index (DAI) reduction, colon length recovery, colon tissue pathological damage improvement and inflammation-related signal pathway inhibition, so that the improvement effect of the polypeptide on intestinal inflammation is verified. The polypeptide is prepared into a pharmaceutical composition or health-care food, so that the comprehensive effects of considering prevention and treatment and simultaneously improving inflammation and repairing barriers can be realized, and a new strategy and a material basis are provided for preventing and treating ulcerative colitis and other intestinal inflammatory diseases.

This invention belongs to the field of novel pharmaceutical uses, and more specifically, relates to the application of ethyl acetate extract of turmeric in the preparation of drugs for treating colorectal cancer. The preparation method of the extract is as follows: turmeric slices are soaked overnight in 15 times their weight of a 70% (v / v) ethanol solution, refluxed at 85°C three times, 2 hours each time. The extracts are combined and concentrated until no alcohol odor remains. The extract is then dried to constant weight to obtain the total extract. The total extract is reconstituted with water and extracted three times with ethyl acetate at an equal volume ratio. The extracts are combined and dried to constant weight to obtain the final product. Experimental results show that this extract is particularly effective in improving disease activity index, restoring colon length, reducing tumor number, and alleviating histopathological damage, and has no significant toxicity to major organs. This extract can be formulated into oral or injectable preparations, providing a new natural drug candidate for the treatment of colorectal cancer.

The invention discloses a Lactobacillus paracasei-composite prebiotic compound preparation, a preparation method and application thereof, and belongs to the technical field of microbial preparations. The compound preparation is prepared from the lactobacillus paracasei PC-92 and compound prebiotics in an optimized compatibility mode, the compound prebiotics are composed of trehalose, inulin and fructo-oligosaccharide, and the adding amount of the compound prebiotics is as follows: 1.959% of the trehalose, 1.029% of the inulin and 1.582% of the fructo-oligosaccharide. According to the casei paracasei-composite prebiotic compound preparation, the preparation method and the application thereof, the compound preparation can remarkably improve intestinal flora disorder of mice with the ulcerative colitis induced by DSS, adjust abundance of key flora such as lactobacillus and bacteroides, reduce disease activity indexes, maintain intestinal microecological balance and improve the intestinal immunity of the mice. The method can be applied to the field of functional food, health care products or medicines, and provides a new scheme for intestinal health intervention.

The present invention includes a method of characterizing disease activity in a systemic lupus erythematosus patient (SEE), comprising: obtaining a dataset associated with a blood, serum, plasma or urine sample from the patient, wherein the dataset comprises data representing the level of one or more biomarkers in the blood, serum, plasma or urine sample from each of (b) to (g); at least one innate serum or plasma mediator biomarker; at least one adaptive serum or plasma mediator; at least one chemokine / adhesion molecule biomarker; at least one soluble TNF superfamily biomarker; the inflammatory mediator biomarker SCF; at least one SLE-associated autoantibody specificity biomarker; and calculating a Lupus Disease Activity Immune.

The present invention relates to a composition for preventing, alleviating or treating fibrosis, the composition comprising bentonite as an active ingredient. Bentonite is highly effective in reducing a disease activity index, inhibiting shortening of colon length, regulating the expression level of a gene related to intestinal fibrosis, reducing a collagen deposition site in intestinal tissue, reducing the expression level of fibronectin and collagen proteins in intestinal tissue in an intestinal fibrosis animal model induced by dextran sulfate sodium (DSS), and reducing the expression level of ɑ-smooth muscle actin (ɑ-SMA) and collagen proteins in an intestinal fibrosis cell model induced by TGF-β, and is thus expected to be useful as a composition for preventing, alleviating, or treating intestinal fibrosis.

The invention relates to the technical field of building structure health monitoring, and discloses an ancient building and pseudo-classic building big wood component disease diagnosis method comprising the following steps: carrying out multi-modal baseline representation on a big wood component to calibrate a disease high-risk area; executing a preset environmental stress test protocol for the region; environment stress data and metabolic gas concentration serving as metabolic feedback data are synchronously collected; extracting instantaneous dynamic characteristics based on the collected data, and constructing a stress-feedback fingerprint representing a response mode of the instantaneous dynamic characteristics; training a disease development prediction model based on the fingerprints, and constructing a response surface model to invert an environmental critical point triggering disease activity; and finally, in combination with a prediction result and the critical point, generating a comprehensive diagnosis report and defining a safe operation envelope for guiding preventive maintenance. According to the invention, through active stress testing and metabolic fingerprint analysis, early quantitative diagnosis of diseases in the incubation period is realized, and an accurate quantitative basis is provided for preventive microenvironment regulation and control.