Method for establishing metagenomics pathogen detection reference threshold

Abstract

The invention discloses a method for establishing a metagenomics pathogen detection reference threshold. The method comprises the following steps: determining a clinical sample type; determining components and a human cell content distribution range; setting gradient negative control; carrying out multi-batch repeated testing on negative control samples according to a metagenome detection process to be carried out on the clinical sample to be tested; counting detection sequence numbers of different pathogens in the negative control samples with different human cell concentrations to obtain a detection sequence number fluctuation interval of the corresponding pathogens in the negative control samples with different human cell concentrations; and taking 120% of the upper limit of the fluctuation interval of the detection sequence number of the corresponding pathogen in the negative control sample as a threshold value. According to the method, layered discrimination of sample detection results can be realized, and the accuracy of metagenomics pathogen detection results is improved; the report interpretation efficiency can be improved; the false positive of a metagenome detection result can be effectively reduced; pollution in the detection process can be evaluated in real time, and laboratory process improvement is guided.

Description

technical field [0001] The invention relates to the field of biotechnology, in particular to a method for establishing a reference threshold for metagenomics pathogen detection. Background technique [0002] With the reduction of the cost of next-generation sequencing and the shortening of the timeliness of detection, metagenomics detection technology is more and more applied to the detection of clinical pathogenic pathogens, because of its advantages of unbiasedness and wide coverage of pathogens, it can be used once It can detect all pathogens in samples without culturing, and can directly detect clinical samples. It can effectively identify mixed infections and other difficult-to-cultivate microorganisms, which is of great significance for the detection of pathogens in clinical infections. However, metagenomics methods also encounter certain bottlenecks in the process of clinical promotion and use, including the low sensitivity of pathogen detection in samples with high h...

AI Technical Summary

Problems solved by technology

However, metagenomics methods also encounter certain bottlenecks in the process of clinical promotion and use, including the low sensitivity of pathogen detection in samples with high human cell content; how to interpret the large number of pathogens detected by metagenomics ; For the screening of colonized bacteria and pathogenic bacteria detected in respiratory samples, it is the main problem that bothers clinicians to use this technology

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