2 results about "Bdellovibrio sp." patented technology

The invention provides a blood microorganism-based autism prediction model and application thereof, the prediction model takes blood microorganisms as markers, and the detection rate or relative abundance of the blood microorganisms is reduced; the risk that the blood sample suffers from autism is predicted by increasing the detection rate of blood microorganisms II or enhancing the relative abundance; the first blood microorganisms comprise ochrobactrum, pseudoalteromonas sp.3J6, rhodococcus equi, parabacteroides dieldrii, trichoderma harzianum, enterobacter hormaechei, wolbachia, yersinia enterocolitica, treponema pallidum and Elizabeth mosquito-repellent bacteria; the blood microorganisms II comprise Klebsiella compacticola and bdellovibrio bacteriovorus. According to the method, the model is constructed based on the blood metagenome data of 1946 standard autism four families, the advantages of blood microorganisms are brought into full play, disease signals are sensitively and accurately captured, the method can be applied to clinical autism prediction, and early risk assessment and layering of diseases are achieved.

The application provides an autism prediction model based on blood microorganisms and application thereof. The prediction model takes blood microorganisms as markers, and predicts the risk of autism of a blood sample through the decrease of a blood microorganism one detection rate or relative abundance, or the increase of a blood microorganism two detection rate or relative abundance. The blood microorganism one comprises Xanthobacteraceae bacterium, Pseudomonas sp.3J6, Rhodococcus equi, Parabacteroides distasonis, Xylella fastidiosa, Enterorhabdus hofmannii, Wolbachia, Yersinia enterocolitica, Borrelia parkeri and Elizabethkingia sp. The blood microorganism two comprises Klebsiella michiganensis and Bdellovibrio sp. The application constructs a model based on blood metagenomic data of 1946 standard four-generation families of autism, fully develops the advantages of blood microorganisms, sensitively and accurately realizes the capture of disease signals, and can be applied to the prediction of autism in the clinic, and realizes the early risk assessment and stratification of diseases.