12 results about "Antibiotic sensitivity" patented technology

The invention discloses a preparation method and application of athlete-derived bifidobacterium probiotics for intestinal barrier repair, and relates to the technical field of biochemistry and microorganisms, and the preparation method comprises the steps of special bacteria source sampling, directional separation and purification, molecular biological identification, antibiotic sensitivity evaluation and injury repair verification. According to the preparation method and application of the sportsman-derived bifidobacterium probiotics for repairing the intestinal barrier, the sportsman intestinal flora is used as an exclusive bacterial source, and the unique metabolic elite attribute and stress adaptability of the sportsman intestinal flora are utilized to directionally screen and obtain a bifidobacterium strain adaptive to an extreme physiological stress environment; the bottleneck that conventional probiotics are only suitable for a common physiological environment and the survival rate and activity in a stress state are greatly reduced is broken through, high survival rate and metabolic activity can be kept in extreme environments such as exercise heat stress and the like, and accurate repair of intestinal barriers is realized through multiple mechanisms; meanwhile, an exclusive screening, identification and safety evaluation system is established, so that the safety and functional specificity of the strain are ensured.

The present invention relates to a novel peptide derived from Hirudo nipponia, which has antimicrobial activity, antibiofilm activity, antibiotic sensitivity–enhancing activity, and anti-inflammatory activity. With antimicrobial activity, antibiofilm activity, antibiotic sensitivity–enhancing activity, and anti-inflammatory activity, the novel peptide derived from Hirudo nipponia according to the present invention can be advantageously applied as a material for various purposes in the pharmaceutical field, food field, cosmetic field, and agriculture and livestock industries. In addition, the novel antimicrobial peptide derived from Hirudo nipponia according to the present invention increases the sensitivity of antibiotics to multidrug-resistant bacteria, thereby markedly enhancing antimicrobial activity against multidrug-resistant bacteria when used in combination with antibiotics. Accordingly, a composition of the present invention comprising the peptide as an active ingredient can be advantageously used as a pharmaceutical composition for enhancing antibiotic sensitivity. In particular, the novel peptide of the present invention has very low hemolytic activity and cytotoxicity, and thus is safe for the human body. Moreover, the novel peptide of the present invention not only has excellent activity even under a high salt concentration, but also maintains activity even in a serum environment, thereby having high stability when applied in vivo.

The utility model relates to the technical field of drug sensitive paper sheet distributors, and particularly discloses a distributor facilitating use of drug sensitive paper sheets in a laboratory, which comprises a bottom support, a shell and a material pushing assembly, a supporting plate with inner and outer layers of circumferential discharging holes is arranged on the inner side of the bottom support, the shell is connected with the bottom support through a rotary limiting assembly, and the inner and outer layers of circumferential medicine tube grooves and the discharging holes are arranged in a staggered mode in the radial direction. The pushing assembly is composed of a stand column, a base, a pressing rod, a push rod, a tension spring and an ejector pin, the pressing rod drives the push rod to laterally move through a first inclined guide face, and the ejector pin completes the ejection action of the medicine sensitive paper on the lowermost layer of the medicine tube under the reset action of the tension spring. The paper storage capacity is multiplied through the design of inner and outer double-layer medicine tube grooves, and the collaborative operation requirement of multiple types of paper sheets is met; shell rotation positioning is matched with trumpet-shaped discharging hole guiding, and it is guaranteed that the paper sheets accurately fall into circumferential equidistant positions of the culture dish.

Lactiplantibacillus plantarum JN-7, a bacterial powder, a preparation method, a probiotic composition and the use thereof. According to the present application, a new strain of Lactiplantibacillus plantarum named Lactiplantibacillus plantarum JN-7 with the deposit number of CGMCC No. 30605 is obtained by means of screening. By means of basic characteristic analysis (growth curve, acid resistance, bile salt resistance, and gastrointestinal fluid resistance), safety evaluation (antibiotic sensitivity, hemolytic capacity, toxigenic capacity, and cytotoxicity), adhesion evaluation, anti-inflammatory effect evaluation, production performance evaluation (fermentation yield and lyophilization yield), and stability tests (an accelerated storage stability test) of this strain, it is found that Lactiplantibacillus plantarum JN-7 is a safe strain with an excellent production performance, high stability, and an anti-inflammatory efficacy. The bacterial powder produced therefrom can remain stable and active for a long time.

Disclosed in the present invention are a Lactiplantibacillus plantarum strain JN9, a preparation, a probiotic composition and the use thereof. The present application finds a novel Lactiplantibacillus plantarum strain JN9 by means of screening, and the accession number thereof is: CCTCCNO: M20241647c. By means of analysis of basic characteristics of the strain (growth curve, acid tolerance, bile salt tolerance and gastrointestinal fluid tolerance), safety evaluation (antibiotics sensitivity, hemolysis capacity, toxin production capacity, cytotoxicity and bioamine production capacity), adhesion evaluation, GABA production evaluation, alcohol tolerance evaluation and acetaldehyde dehydrogenase production capability evaluation, said strain is found to be a safe strain, and exhibits GABA production performance, alcohol tolerance and acetaldehyde dehydrogenase activity

The present disclosure introduces an AI-based empirical antibiotic recommendation system (100) designed to analyse patient data and recommend antibiotic treatments. The system (100) integrates with user devices via REST APIs and ensures secure operation through HTTPS. Client modules collect and pre-process raw data, ensuring integrity and compatibility. The pre-processed data is sent to the server (104) and forwarded to an input module (112) for authentication and validation. A processing module (114) standardizes the data, while a prediction module (116) identifies probable organisms and their antibiotic sensitivities. A clinical pathway module (118) generates dosing guidelines, and a prediction response module (120) displays the top three organisms with associated probabilities and recommended antibiotics. The antibiotics are color-coded for safety, and a feedback mechanism allows continuous system refinement.

Compositions and methods of preventing, slowing the progression of, or targeting antibiotic tolerance and increasing antibiotic sensitivity in intracellular bacteria. Compositions and methods of reducing the production of reactive oxygen and nitrogen species in a subject and methods of reducing antibiotic-tolerant persister cells. Methods can further include administration of antibiotics.

According to one aspect of the present invention, an electronic device for performing antibiotic sensitivity detection of a microorganism may comprise: a processor for: obtaining antibiotic data, the antibiotic data being data measured according to a change in an electrical characteristic of a target microorganism under antibiotic treatment; judging whether the antibiotic data is positive or negative, and inputting the positive control group data, the negative control group data and the antibiotic data of the target microorganism into a trained deep learning model, the deep learning model judges whether the antibiotic data is positive or negative according to the positive control group data, the negative control group data and the antibiotic data of the target microorganism; and identifying antibiotic sensitivity information of the target microorganisms according to different antibiotic types and concentrations by using the judgment result.

The application relates to a lactococcus lactis strain with functions of lowering blood fat, lowering blood sugar, lowering uric acid, resisting aging, resisting bacteria, resisting oxidation and lowering nitrite and application thereof, which is separated from Guizhou traditional fermented koji, has the abilities of lowering blood fat, lowering blood sugar and lowering uric acid; significantly prolongs the life of Caenorhabditis elegans, improves the exercise capacity and the mitochondrial membrane potential, but does not affect the reproductive capacity; has good gastrointestinal tolerance, acid tolerance and bile salt tolerance; has self-aggregation, co-aggregation and hydrophobicity and antibiotic sensitivity; has significant bacteriostatic and nitrite degradation abilities; has high DPPH, ABTS + scavenging capacity, reduces the contents of ROS and MDA in the body and improves the antioxidant enzyme activity. The strain not only integrates the functions of lowering blood fat, lowering blood sugar, lowering uric acid and resisting aging, but also has the abilities of resisting bacteria, resisting oxidation and degrading nitrite, and has a wide application prospect in the preparation of probiotic preparations or functional foods for assisting the regulation of metabolic syndrome and the delay of aging.

The invention discloses a compound for recovering sensitivity of beta-lactam antibiotics, a composition and application, and belongs to the field of chemical medicines. The invention provides a boric acid compound with a brand new structure as shown in a formula (I) and a pharmaceutically acceptable salt thereof, on one hand, the boric acid compound has better metabolic stability and biological activity, and the administration time interval is expanded; on the other hand, the method can be better used for interfering a beta-lactam antibiotic reaction pathway, so that MSSA and MRSA bacteria have better sensitivity to lactam drugs.

The application discloses Lactobacillus plantarum S-03 with high folate yield and excellent gastrointestinal tolerance, and application thereof, and is preserved in the China General Microbiological Culture Collection Center with a strain preservation number of CGMCC No. 37968. The application aims to provide Lactobacillus plantarum with high folate yield and excellent gastrointestinal tolerance and application thereof, which can not only yield high folate, but also has good gastrointestinal tolerance, hydrophobicity, antibiotic sensitivity and hemolytic activity-free lactic acid bacteria, so that the lactic acid bacteria can stably play a function in the intestinal tract for a long time.

The application discloses a pathogen identification and drug resistance prediction method and system based on metagenomic sequencing, and the method comprises the following steps: S1, obtaining original data of clinical samples through metagenomic sequencing and preprocessing; S2, comparing the preprocessed sequencing data with a pathogenic microorganism reference database to identify the pathogen types and relative abundance of the clinical samples; S3, comparing the preprocessed data with a drug resistance gene database to identify the drug resistance genes and virulence factors carried by the pathogen; S4, taking at least one of the pathogen types, relative abundance, drug resistance genes and patient clinical information as input characteristics, and using a machine learning model to predict the drug resistance phenotype of the pathogen to specific antibiotics; and S5, integrating the pathogen types and abundance, drug resistance gene spectrum and predicted antibiotic sensitivity spectrum to generate and output a structured clinical report containing treatment suggestions; the application realizes pathogen identification, drug resistance phenotype prediction and treatment suggestion generation through metagenomic sequencing combined with a machine learning model.