6 results about "Antibiotic effect" patented technology

The present invention belongs to the technical field of biomedicine, and relates to use of linoleic acid in the preparation of a drug for improving the sensitivity of Gram-positive bacteria to an antibiotic. It has been discovered for the first time that the combined use of linoleic acid and an antibiotic can significantly improve the sensitivity of Gram-positive bacteria to the antibiotic. In vivo study data have shown that the combination of linoleic acid and the antibiotic can not only improve the survival rate of mice infected with Gram-positive bacteria, but also enhance the ability of the mice to clear Gram-positive bacteria. Furthermore, formulating linoleic acid and the antibiotic into an anti-infection composition can, in one aspect, achieve a significant clinical anti-infection effect, and in another aspect, prolong the post-antibiotic effect. Moreover, linoleic acid is an essential fatty acid in human and animal nutrition, with high nutritional value, and it has been widely used in food and pharmaceutical products, demonstrating high safety.

The application discloses application of antibacterial peptide BMAP-28 and antibiotics in combined preparation of antibacterial drugs and belongs to the technical field of biological medicine. The antibiotics are selected from one or more of the following: ciprofloxacin, gentamicin and cefixime. The application combines the antibacterial peptide BMAP-28 with antibiotics such as ciprofloxacin and gentamicin, finds that the combination has a significant synergistic antibacterial effect on Enterobacter sakazii, can greatly save the dosage of the drug, reduce the toxic side effect and block the evolution process of drug resistance. Through the destruction of the bacterial cell membrane and the assistance of the antibiotic effect, the combination can effectively overcome the multiple drug resistance, widen the antibacterial spectrum and has a wide clinical application prospect.

The application relates to the technical field of traditional Chinese medicine preparation, and particularly discloses a compound traditional Chinese medicine preparation for targeting egg duck and goose egg cytoplasmic disease, which comprises the following components: white head, Coptis chinensis, Huangqi, Phellodendron amurense, wine Danpi, bran-fried peach kernel, Chinese perilla, pomegranate peel, liquorice, honeysuckle, Andrographis, figwort, emblic, ginger, fried atractylodes, fried safflower, Xianhecao, spiny amaranth, and Poria cocos. Through the combination of monarch, minister, assistant and messenger, the core effects of heat-clearing and detoxifying, blood-cooling and dysentery-stopping, and dampness-drying and insect-killing of the medicines are synergistically exerted, the pathogenesis characteristics of the egg cytoplasmic disease are accurately targeted, blood stasis and blood circulation are promoted to eliminate the swelling of the lesion, and the intestinal mucosa damage is repaired to stop bleeding, the symptoms of hematochezia, diarrhea and oviduct inflammation of the egg duck and goose caused by the egg cytoplasmic disease are effectively relieved, the problems of the decreased antibiotic effect, drug residue, bacterial flora disorder and food safety risk are effectively solved, and the compound traditional Chinese medicine preparation has the remarkable progress of drug resistance, safety, no residue, intestinal protection and green environmental protection.

This application proposes a method and related apparatus for detecting antimicrobial susceptibility based on the physical morphological characteristics of single bacteria. The method includes: S1, establishing an independent detection unit; S2, drug processing; S3, single-bacterial imaging; S4, single-bacterial segmentation; S5, multidimensional feature extraction; S6, single-index performance evaluation; S7, joint modeling and performance evaluation; and S8, result output. This application can establish a rapid drug susceptibility discrimination process for common Gram-negative bacteria in the early single-bacterial morphological changes after antibiotic treatment, thereby improving the interpretability, standardization potential, and clinical translational applicability of the method while shortening the detection time.

The application provides a bacterial drug resistance prediction method and system based on multimodal Raman spectrum data deep fusion, comprising: obtaining static Raman spectrum data of target bacteria and target antibiotics and dynamic Raman spectrum data of target bacteria under the action of target antibiotics; embedding coding and feature extraction are respectively performed on the static Raman spectrum data and the dynamic Raman spectrum data to obtain static spectrum features and dynamic spectrum features; the static spectrum features and the dynamic spectrum features are deeply cross-fused to obtain a drug resistance prediction result of the target bacteria by combining a multilayer perception machine. The technical scheme breaks the limitation of long time consumption and single information of traditional drug sensitivity detection, and provides a new drug resistance monitoring scheme which is efficient, accurate and interpretable for clinic.

The present invention relates to compositions, kits and methods using combinations of surfactants or cell wall-hydrolyzing enzymes with antibiotics to potentiate the antibiotic effect against bacterial infections. In some embodiments, the surfactant is a pore-forming biosurfactant such as rhamnolipids and the antibiotic is an aminoglycoside antibiotic such as tobramycin.