Literature DB >> 31451660

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

Alexandre Pellan Cheng1, Philip Burnham1, John Richard Lee2,3, Matthew Pellan Cheng4,5, Manikkam Suthanthiran2,3, Darshana Dadhania6,3, Iwijn De Vlaminck7.   

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 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.

Entities:  

Keywords:  cell-free DNA; host injury; metagenomics

Mesh:

Substances:

Year:  2019        PMID: 31451660      PMCID: PMC6744880          DOI: 10.1073/pnas.1906320116

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  40 in total

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Journal:  Infect Immun       Date:  2000-12       Impact factor: 3.441

2.  Identification of foreign gene sequences by transcript filtering against the human genome.

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Journal:  Clin Infect Dis       Date:  2005-02-04       Impact factor: 9.079

5.  Degradation of DNA by bisulfite treatment.

Authors:  Kazuo Tanaka; Akimitsu Okamoto
Journal:  Bioorg Med Chem Lett       Date:  2007-01-24       Impact factor: 2.823

Review 6.  Polyomavirus-associated nephropathy in renal transplantation: interdisciplinary analyses and recommendations.

Authors:  Hans H Hirsch; Daniel C Brennan; Cinthia B Drachenberg; Fabrizio Ginevri; Jennifer Gordon; Ajit P Limaye; Michael J Mihatsch; Volker Nickeleit; Emilio Ramos; Parmjeet Randhawa; Ron Shapiro; Juerg Steiger; Manikkam Suthanthiran; Jennifer Trofe
Journal:  Transplantation       Date:  2005-05-27       Impact factor: 4.939

7.  The NIH Roadmap Epigenomics Mapping Consortium.

Authors:  Bradley E Bernstein; John A Stamatoyannopoulos; Joseph F Costello; Bing Ren; Aleksandar Milosavljevic; Alexander Meissner; Manolis Kellis; Marco A Marra; Arthur L Beaudet; Joseph R Ecker; Peggy J Farnham; Martin Hirst; Eric S Lander; Tarjei S Mikkelsen; James A Thomson
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8.  Urinary tract infections after renal transplantation: a retrospective review at two US transplant centers.

Authors:  Peale Chuang; Chirag R Parikh; Anthony Langone
Journal:  Clin Transplant       Date:  2005-04       Impact factor: 2.863

9.  Polyomavirus BK versus JC replication and nephropathy in renal transplant recipients: a prospective evaluation.

Authors:  Cinthia B Drachenberg; Hans H Hirsch; John C Papadimitriou; Rainer Gosert; Ravinder K Wali; Raghava Munivenkatappa; Joseph Nogueira; Charles B Cangro; Abdolreza Haririan; Susan Mendley; Emilio Ramos
Journal:  Transplantation       Date:  2007-08-15       Impact factor: 4.939

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Authors:  Li C Xia; Jacob A Cram; Ting Chen; Jed A Fuhrman; Fengzhu Sun
Journal:  PLoS One       Date:  2011-12-06       Impact factor: 3.240

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Review 2.  Detection of Cell Types Contributing to Cancer From Circulating, Cell-Free Methylated DNA.

Authors:  Megan E Barefoot; Netanel Loyfer; Amber J Kiliti; A Patrick McDeed; Tommy Kaplan; Anton Wellstein
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6.  Cell-Free DNA in Blood Reveals Significant Cell, Tissue and Organ Specific injury and Predicts COVID-19 Severity.

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8.  Separating the signal from the noise in metagenomic cell-free DNA sequencing.

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Review 9.  Clinical Pathogen Genomics.

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Journal:  Clin Lab Med       Date:  2020-10-01       Impact factor: 1.935

10.  On the Use of Blood Samples for Measuring DNA Methylation in Ecological Epigenetic Studies.

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Journal:  Integr Comp Biol       Date:  2020-12-16       Impact factor: 3.326

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