A cell-free DNA metagenomic sequencing assay that integrates the host injury response to infection

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 sever...

Full description

Saved in:
Bibliographic Details
Published inProceedings of the National Academy of Sciences - PNAS Vol. 116; no. 37; pp. 18738 - 18744
Main Authors Cheng, Alexandre Pellan, Burnham, Philip, Lee, John Richard, Cheng, Matthew Pellan, Suthanthiran, Manikkam, Dadhania, Darshana, De Vlaminck, Iwijn
Format Journal Article
LanguageEnglish
Published United States National Academy of Sciences 10.09.2019
Subjects
DNA
Online AccessGet full text

Cover

Loading…
More Information
Summary: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 as well 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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
1D.D. and I.D.V. contributed equally to this work.
Edited by John Tsang, NIH, Bethesda, MD, and accepted by Editorial Board Member Ruslan Medzhitov August 5, 2019 (received for review April 15, 2019)
Author contributions: A.P.C., P.B., J.R.L., M.S., D.D., and I.D.V. designed research; A.P.C. performed research; A.P.C. contributed new reagents/analytic tools; A.P.C., P.B., J.R.L., and I.D.V. analyzed data; and A.P.C., J.R.L., M.P.C., D.D., and I.D.V. wrote the paper.
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.1906320116