3 results about "Gemella" patented technology

The embodiment of the invention discloses application of lactobacillus delbrueckii. The application is characterized in that the lactobacillus delbrueckii is applied to inhibition of mesophilic aerobic bacteria, saccharomycetes, mould and coliform bacteria. The lactobacillus delbrueckii has a preservation number of CGMCC No.11247. In the lactobacillus delbrueckii activating process, bacteriocin can be generated and can remarkably inhibit the mesophilic aerobic bacteria, saccharomycetes, mould and coliform bacteria on the surfaces of fruits and vegetables, so that the preservation effect of thefruits and vegetables can be improved. Furthermore, secondary metabolites of the lactobacillus delbrueckii can be biodegraded and digested by human bodies, and are healthy and harmless to human bodies.

The present disclosure relates to a method for providing information for diagnosing migraine and, more specifically, to a method for accurately and quickly diagnosing migraine without pain or discomfort to a patient, the method comprising a step of measuring the relative abundance of at least one bacterium selected from the group consisting of Gemella haemolysans, Centipeda periodontii, Cardiobacterium valvarum, Catonella morbi, and Selenomonas noxia in a biological sample.

The invention discloses a biomarker for predicting severe treatment of a COVID-19 patient and application of the biomarker, and relates to the technical field of biomedicine. According to the invention, a COVID-19 patient severity prediction or auxiliary prediction model which is obtained by constructing biomarkers including Gemelia haemolsos, Streptococcus sp.A12, Fusobacterium pseudoperiodontium, Gemelia mollissima, Villonella atypical, Villonella rogosa and Prevotella melaninogena is found, the model is used for predicting and evaluating the severity of the COVID-19 patient, the sensitivity is high, and the specificity is good. The invention further discloses a method for predicting and evaluating the severity of the COVID-19 patient severity, and the method has the advantages that the method can be used for predicting and evaluating the severity of the COVID-19 patient severity;