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Open Access 01-12-2023 | Research

Bacterial DNA metabolism analysis by metagenomic next-generation sequencing (mNGS) after treatment of bloodstream infection

Authors: Zhuo Li, Shiying Zhang, Mengting Liu, Hongguang Ding, Yin Wen, Huishan Zhu, Hongke Zeng

Published in: BMC Infectious Diseases | Issue 1/2023

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Abstract

Background

With the advent of metagenomic next-generation sequencing (mNGS), the time of DNA metabolism can be explored after bacteria be killed. In this study, we applied mNGS in investigation of the clearance profile of circulating bacteria DNA.

Methods

All of the rabbits were injected with the inactivated Escherichia coli. Using mNGS, we analyzed serial samples of plasma collected from rabbits to detect clearance profile of circulating E. coli DNA.

Results

In this study, we found that the of E. coli DNA could still be detected 6 h after injecting killed bacteria. The clearance half-lives associated with the 2 phases are 0.37 and 1.81 h. We also explored there is no correlation between the disease severity with the E. coli DNA reads in circulation.

Conclusions

After the bacteria were completely killed, their DNA could still be detected in the blood circulation. The metabolism of bacterial DNA in the circulation had two phases: fast and slow phases, and there were no correlations between the level of bacteria reads with the severity of patients’ disease after the bacteria have been completely killed.
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Metadata
Title
Bacterial DNA metabolism analysis by metagenomic next-generation sequencing (mNGS) after treatment of bloodstream infection
Authors
Zhuo Li
Shiying Zhang
Mengting Liu
Hongguang Ding
Yin Wen
Huishan Zhu
Hongke Zeng
Publication date
01-12-2023
Publisher
BioMed Central
Published in
BMC Infectious Diseases / Issue 1/2023
Electronic ISSN: 1471-2334
DOI
https://doi.org/10.1186/s12879-023-08378-7

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