Resumen de: WO2025128818A1
Aspects of the disclosure provides composition and methods for treating a subject having inflammatory bowel disease, the method comprising administering to the subject a hemojuvelin (HIV) antagonist (e.g., anti-HJV antibody).
Resumen de: NZ730490A
Described herein are methods and systems for distinguishing diarrhea predominant irritable bowel syndrome (D-IBS) from inflammatory bowel disease (IBD) and celiac disease. The methods and systems can utilize the detection of anti-vinculin antibodies and anti-CdtB antibodies to distinguish IBS from IBD and celiac disease. Further described are methods for selecting a therapy to treat IBS, IBD or celiac disease.
Resumen de: CN120164631A
The invention discloses a follow-up visit management system for an inflammatory bowel disease patient, and relates to the technical field of medical management. Comprising a patient management module which is in dynamic butt joint with a hospital information system, synchronizes patient data and endoscopic examination results in real time through an HL7 protocol, and establishes an electronic file containing an inflammatory bowel disease specificity tag; the diagnosis and treatment result module is used for storing structured data with temporal markers, including medication time sequences recorded by three groups of timestamps, administration routes and drug categories, auxiliary examination results accompanied with digestive tract pathological section images and hidden space feature vectors extracted from the images through a convolutional neural network; and the diet module is used for carrying out multi-level classification on diet photos uploaded by the patient through an image recognition unit based on MobileNetV3, and outputting food types and intake estimated values. According to the invention, by integrating the multi-dimensional data of the patient, the disease development trend is predicted, and personalized follow-up visit management is provided.
Resumen de: WO2025121789A1
The present invention relates to an inflammatory bowel disease model derived from induced pluripotent stem cells and a method for producing same. The inflammatory bowel disease model simulates stable intestinal epithelial cells from induced pluripotent stem cells and remarkably exhibits the expression of inflammation-related genes according to the occurrence and improvement of inflammatory bowel disease, and thus can be effectively used for evaluating the efficacy of a drug for treating inflammatory bowel disease.
Resumen de: CN120138126A
The invention relates to the technical field of disease detection kits, in particular to application of an scrK gene as a target spot to preparation of a kit or a medicine for detecting or treating enteritis related to abnormal fructose metabolism. The detection of the abnormal fructose metabolism related enteritis comprises the following steps: detecting the expression level of an scrK gene of a sample to be detected, and judging whether the source of the sample to be detected has abnormal fructose metabolism related enteritis (such as inflammatory bowel disease) or not according to a detection result and the fructose content, or judging the severity of the enteritis related to abnormal fructose metabolism from the sample to be detected. A target spot (scrK gene) of enteritis related to abnormal fructose metabolism is found through research, a plurality of detection kits applied to abnormal fructose metabolism diseases such as inflammatory bowel diseases and intestinal inflammation-cancer transformation process can be developed based on detection of the gene, the cause of occurrence or aggravation of enteritis is defined, and the application prospect is wide. And direct evidence is provided for accurate diagnosis and treatment.
Resumen de: CN120138119A
The invention provides a method for evaluating the intervention effect of probiotics based on baseline intestinal microbiome robustness, which comprises the following steps: collecting a sample of a mouse colitis model for metagenome sequencing, analyzing the robustness of the intestinal microbiome of an individual in a baseline period, and evaluating the intervention effect of the probiotics, the mouse colitis model comprises a control group, a model group and a probiotic group. Experimental results show that based on the robustness of the host baseline microbiome, the curative effect of the probiotic intervention treatment on the IBD can be more accurately deduced. The prediction effect of the robustness of the intestinal microorganisms in the baseline period on probiotic treatment is elaborated, and a theoretical basis and technical support are provided for optimizing a probiotic treatment scheme in clinical practice.
Resumen de: CN120138155A
The invention discloses a method for analyzing and identifying an inflammatory bowel disease related oral cancer biomarker, and belongs to the technical field of bioengineering.The method comprises the following steps that 1, IBD whole genome correlation research summary data is obtained; 2, analyzing a causal relationship between IBD and the oral cancer by using a Mendel randomization method, and determining IBD related genes; 3, collecting an oral cancer tissue sample, and carrying out single-cell RNA sequencing; according to the invention, single-cell RNA sequencing is carried out on an oral cancer specimen, and a cell cluster and a gene expression mode are described. Cell clusters and types are displayed by using t-SNE and UMAP, key modes of gene expression are defined by using a lattice diagram, and pathways related to NFKBIA expression are analyzed through GSEA. The experimental result explains the cell heterogeneity and gene expression kinetics in the oral cancer disease progression process, and reveals possible therapeutic targets related to IBD.
Resumen de: CN120142669A
The invention discloses a serum protein and metabolism marker for diagnosis or auxiliary diagnosis of colorectal cancer or ulcerative colitis, the serum protein and metabolism marker comprises 10 serum protein markers or/and 11 serum metabolites, the serum protein markers comprise APOA4, APOC3, APOF, C4B, CLEC3B, FERMT3, NID2, RAB11B, CRP and CSF1, and the serum metabolism markers comprise LysoPA 18: 2, LysoPA 18: 3, Valproic acid, LysoPA 16: 0, Cis-4-DGTS 12: 0, Choline, Acylcarnitine 19: 3 and Cis-4-. By screening differentially expressed serum proteins and metabolites of patients with colorectal cancer and ulcerative colitis, machine learning is utilized to screen markers and construct a diagnosis model, so that diagnosis and auxiliary diagnosis of colorectal cancer are facilitated. In addition, the invention further discloses application of the serum protein and the metabolic marker, and the serum protein marker and the serum metabolic marker are used independently or in a combined mode.
Resumen de: WO2025121789A1
The present invention relates to an inflammatory bowel disease model derived from induced pluripotent stem cells and a method for producing same. The inflammatory bowel disease model simulates stable intestinal epithelial cells from induced pluripotent stem cells and remarkably exhibits the expression of inflammation-related genes according to the occurrence and improvement of inflammatory bowel disease, and thus can be effectively used for evaluating the efficacy of a drug for treating inflammatory bowel disease.
Resumen de: WO2025120137A1
The present invention relates to the field of mucins and mRNA isoforms thereof, more in particular the use of mucins and mRNA isoforms in subjects suspected having an intestinal disorder. Provided herein is an in vitro method for determining the presence of barrier damage to the intestinal tract and/or prediction of therapy response and recovery thereto by determining the expression of at least 3 mRNA isoforms originating from genes selected from the list comprising: MUC1, MUC2, MUC3A, MUC4, MUC5AC, MUC5B, MUC6, MUC12, MUC12-AS1, MUC13, MUC16, MUC17, MUC19, MUC20 or an overlapping transcript or a pseudogene thereof.
Resumen de: US2025191684A1
Example embodiments relate to identity-by-descent (IBD) relatedness based on focal and reference segments. An example method includes determining, by a services platform based on personal information of a focal individual, a focal string. The method also includes retrieving, by the services platform from a reference database, a reference string of a reference individual. Additionally, the method includes computationally identifying, by the services platform, IBD segments between the focal string and the reference string. Further, the method includes determining, by the services platform and based on the merged set of IBD segments, a degree of relatedness between the focal individual and the reference individual. In addition, the method includes providing, by the services platform, access to the degree of relatedness via a user interface.
Resumen de: CN113645846A
This invention is directed to compositions and methods to detect and treat gastrointestinal diseases.
Resumen de: CN120107161A
The invention discloses an intestinal lymphoma and Crohn disease identification model construction method and system, and the method comprises the following steps: S1, selecting endoscopic images of an intestinal lymphoma patient and a Crohn disease patient from a hospital, and respectively applying the endoscopic images to an internal verification experiment and an external verification experiment; s2, preprocessing the image through an image mask algorithm and a data enhancement technology; s3, constructing and training an InceptionV3 convolutional neural network model, selecting an optimal hyper-parameter combination through internal verification, and then performing external verification to determine the classification efficiency of the model; and S4, performing statistical analysis on the diagnosis result of the clinician. The InceptionV3 model constructed by adopting the method not only has efficient diagnosis performance which is obviously superior to a primary endoscopic physician and equivalent to a high-grade endoscopic expert, but also remarkably improves the endoscopic diagnosis rate of the primary clinical physician, and provides powerful support for primary medical institutions and medical centers lacking experience.
Resumen de: US2025180579A1
Methods for identifying sensitivity to what in an individual are provided, in which a sample from the individual is characterized for the presence of antibodies reactive with a whole wheat antigen and differentially characterizes for antibodies reactive with transglutaminase-2, transglutaminase-3, and transglutaminase-6. The presence of antibodies reactive with other wheat antigens, including α-gliadin, native γ-gliadin, native {acute over (ω)}-gliadin, and glutenin can also be characterized.
Resumen de: WO2025117950A1
The present disclosure features imaging media including a contrast agent encapsulated within a biodegradable nanoparticle matrix. The particles are sized such that they avoid excretion via urinary excretion (e.g., at least 5 nm in diameter) during an imaging procedure or an image-guided procedure. Instead, the particles are predominantly removed from circulation by the reticuloendothelial system of the liver. This results in a buildup of contrast agent in the liver, allowing for a highly specific imaging modality for liver imaging. Further, the bulk of the imaging media is excreted into the bowel, reducing in-vivo toxicity of the imaging media. Finally, because of their size, the nanoparticles of the imaging media have a higher circulation half-life.
Resumen de: US2020262889A1
Polypeptides comprising an amino acid sequence of Slc26a6 or IRBIT comprising a mutation that increases NaDC-1 binding, stability of the polypeptide, stability of NaDC-1 complex or a combination thereof are provided. Polypeptides comprising an amino acid sequence of a mutant succinate receptor 1 (mutSUCNR1), comprising a mutation that increases succinate binding, stability of the polypeptide, stability of the mutSUCNR1-succinate complex or combinations thereof are also provided. Compositions comprising the polypeptides, nucleic acid molecules and vectors encoding the polypeptides, and methods of use of the polypeptides or compositions, specifically for treating succinate-associate diseases and conditions are also provided.
Resumen de: US2025177779A1
In some embodiments, the present disclosure relates to a method. The method includes extracting a plurality of pre-treatment features from one or more first regions of interest (ROI) within pre-treatment imaging data. Prognostic pre-treatment features are identified from the plurality of pre-treatment features. The prognostic pre-treatment features are determinative of a treatment response. A plurality of post-treatment features are extracted from one or more second ROI within post-treatment imaging data. Prognostic post-treatment features are extracted from the plurality of post-treatment features. The prognostic post-treatment features are determinative of the treatment response. Prognostic tumor diversity features are determined from a common subset of the prognostic pre-treatment features and the prognostic post-treatment features. A machine learning stage is operated to generate a medical prediction of the treatment response for a bowel cancer patient using the prognostic tumor diversity features.
Resumen de: WO2025114553A1
The present invention refers to an in vitro method for diagnosing or screening a chronic inflammatory disease selected from the group comprising: Inflammatory bowel disease (IBD), arthritis or psoriasis.The present invention also refers to an in vitro method for monitoring patients suffering from a chronic inflammatory disease selected from the group comprising: IBD, arthritis or psoriasis; and/or for differentiating active patients suffering from a chronic inflammatory disease selected from the group comprising: IBD, arthritis or psoriasis from those patients who are in remission.
Resumen de: EP4564005A1
The present invention refers to an in vitro method for diagnosing or screening a chronic inflammatory disease selected from the group comprising: Inflammatory bowel disease (IBD), arthritis or psoriasis.
Resumen de: CN120085016A
The invention relates to the field of biological detection, and particularly provides application of APOA1 as a biomarker in preparation of a product for monitoring the activity of colitis. The invention discloses that the exosome APOA1 is positively correlated with the UC activity for the first time, the plasma exosome of a UC patient has good consistency with the in-situ expression level of the colon, and the severity of the colitis can be known in time on the premise of not making a colonoscope by detecting the expression condition of the APOA1 of the plasma exosome of the patient in vitro. Wide application prospects are realized.
Resumen de: WO2025109034A1
The present invention relates to a method of determining or predicting the sensitivity of a subject to an anti-inflammatory treatment against IBD using vedolizumab, comprising the steps of: Providing a biological sample of a subject suffering from IBD, determining the methylation status of at least one CpG selected from the group consisting of cg08081727, cg17830959, cg03455316, cg05197062, cg00441209, cg00706914, cg12906381, cg25299227, cg05338672, cg17764313, cg16467921, cg04674762, cg02601475, cg14115807, cg21070860, cg04546413, cg12667521, cg05062694, cg02229781, cg17096289, cg08017465, cg18319102, cg09659072, cg03161606, cg25267487, and determining the sensitivity based on said methylation status wherein a higher level of methylation of cg17830959, cg03455316, cg25299227, cg05197062, cg12906381, cg05338672, cg02601475, cg00706914, cg04674762, cg02229781, cg09659072, cg08017465, cg18319102, cg21070860, cg14115807, and a lower level of methylation of cg08081727, cg00441209, cg17764313, cg16467921, cg05062694, cg25267487, cg03161606, cg04546413, cg17096289, cg12667521 in comparison to a control value or control sample is indicative of an increased sensitivity to a therapy using vedolizumab.
Resumen de: CN120077274A
Provided herein is a method for inspecting irAE enteritis, comprising a detection step for detecting an antibody that immunologically reacts with a fragment or all of integrin alpha v beta 6 in a sample as an indicator of ulcerative colitis-like irAE enteritis.
Resumen de: WO2025107068A1
It is provided a method of detecting inflammatory bowel disease (IBD) in a patient comprising the step of measuring in a sample of said patient protein expression from the sample, and determining from the measured expression the presence or absence in the patient of inflammatory bowel disease. The method comprises measuring the protein expression level measured of S100-A9, neutral ceramidase, serum albumin, chymotrypsin-C, protein S100-A4, alpha-1-acid glycoprotein 1, neprilysin, lactotransferrin, immunoglobulin lambda-like polypeptide 5, immunoglobulin heavy variable 4-28, protein S100-A8, chymotrypsin-like elastase family member 3A, IgGFc-binding protein, mucin-2, antithrombin-l 11, myeloblastin, zymogen granule membrane protein 16, annexin A2, glyceraldehyde-3-phosphate dehydrogenase, chloride anion exchanger, and/or a combination thereof.
Resumen de: CN120072056A
The invention provides application of intestinal flora as a marker in preparation of a product for evaluating the treatment effect of inflammatory bowel diseases. The feasibility of predicting the curative effect of the medicine for treating the inflammatory bowel disease patient by using the microbial spectrum can accurately discriminate the patient needing to optimize the treatment scheme in the early stage of the disease, so that the prognosis condition of the patient is remarkably improved. Meanwhile, the invention provides a construction method of an intestinal flora biomarker prediction model, accurate prediction of the ineffective condition of drug treatment is realized through the combination of faecobacteria prausnitzii, Blauratia massiensis and coma faecalis, and the potential of the intestinal flora biomarker prediction model as a new tool for early recognition of a patient possibly needing optimized treatment is highlighted.
Nº publicación: CN120072156A 30/05/2025
Solicitante:
KUNSHAN INTEGRATED TRADITIONAL CHINESE AND WESTERN MEDICINE HOSPITAL KUNSHAN HUAQIAO PEOPLES HOSPITA
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Resumen de: CN120072156A
The invention discloses an ulcerative colitis severity assessment method and system, and relates to the technical field of artificial intelligence, and the method comprises the following steps: data collection and ulcerative colitis symptom classification; preliminarily evaluating the severity of ulcerative colitis according to clinical data; performing correlation analysis based on the preliminary evaluation model and the severity score; performing intelligent diagnosis according to the combination of the severity score and the real-time physiological monitoring data; personalized treatment scheme recommendation is carried out according to the intelligent diagnosis result; evaluating the recovery progress of the patient by using the personalized treatment scheme; performing subsequent illness state prediction according to the recovery progress data; and a long-term monitoring scheme is provided for future disease course management based on a disease prediction result. According to the method, an improved regression analysis method is provided, and a nonlinear term, an interaction effect and a dynamic adjustment mechanism are introduced, so that the model can better capture a nonlinear complex relationship in clinical data, and the prediction precision is remarkably improved.