Abstract
High-throughput metagenomic sequencing offers an unbiased approach to identify pathogens in clinical samples. Conventional metagenomic sequencing, however, does not integrate information about the host, which is often critical to distinguish infection from infectious disease, and to assess the severity of disease. Here, we explore the utility of high-throughput sequencing of cell-free DNA (cfDNA) after bisulfite conversion to map the tissue and cell types of origin of host-derived cfDNA, and to profile the bacterial and viral metagenome. We applied this assay to 51 urinary cfDNA isolates collected from a cohort of kidney transplant recipients with and without bacterial and viral infection of the urinary tract. We find that the cell and tissue types of origin of urinary cfDNA can be derived from its genome-wide profile of methylation marks, and strongly depend on infection status.We find evidence of kidney and bladder tissue damage due to viral and bacterial infection, respectively, and of the recruitment of neutrophils to the urinary tract during infection. Through direct comparison to conventional metagenomic sequencing aswell as clinical tests of infection, we find this assay accurately captures the bacterial and viral composition of the sample. The assay presented here is straightforward to implement, offers a systems view into bacterial and viral infections of the urinary tract, and can find future use as a tool for the differential diagnosis of infection.
| Original language | English |
|---|---|
| Pages (from-to) | 18738-18744 |
| Number of pages | 7 |
| Journal | Proceedings of the National Academy of Sciences of the United States of America |
| Volume | 116 |
| Issue number | 37 |
| DOIs | |
| Publication status | Published - 10 Sept 2019 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
!!!Keywords
- Cell-free DNA
- Host injury
- Metagenomics
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Dive into the research topics of 'A cell-free DNA metagenomic sequencing assay that integrates the host injury response to infection'. These topics are generated from the title and abstract of the publication. Together, they form a unique fingerprint.Datasets
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Additional file 1 of Separating the signal from the noise in metagenomic cell-free DNA sequencing
Burnham, P. (Creator), Gomez-Lopez, N. (Creator), Heyang, M. (Creator), Cheng, A. P. (Creator), Lenz, J. S. (Creator), Dadhania, D. M. (Creator), Lee, J. R. (Creator), Suthanthiran, M. (Creator), Romero, R. (Creator) & De Vlaminck, I. (Creator), figshare, 2020
DOI: 10.6084/m9.figshare.12023508
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