Evidence map›Paper›PMID 34718476›Full record

ArticleClinical chemistry2021

Measurement Biases Distort Cell-Free DNA Fragmentation Profiles and Define the Sensitivity of Metagenomic Cell-Free DNA Sequencing Assays.

Adrienne Chang, Omary Mzava, Joan S Lenz, Alexandre P Cheng, Philip Burnham, S Timothy Motley, Crissa Bennett, John T Connelly, Darshana M Dadhania, Manikkam Suthanthiran and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 1 country.

Adrienne ChangNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.ORCID 0000-0003-3497-1561
Omary MzavaNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Joan S LenzNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Alexandre P ChengNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Philip BurnhamNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
S Timothy MotleyGlobal Good Fund, Intellectual Ventures Lab, Bellevue, WA, USA.
Crissa BennettGlobal Good Fund, Intellectual Ventures Lab, Bellevue, WA, USA.
John T ConnellyGlobal Health Labs, Bellevue, WA, USA.
Darshana M DadhaniaDivision of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
Manikkam SuthanthiranDivision of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
John R LeeDivision of Nephrology and Hypertension, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
Amy SteadmanGlobal Health Labs, Bellevue, WA, USA.
Iwijn De VlaminckNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Cornell University · USNewYork–Presbyterian Hospital · USBellevue Hospital Center · USIntellectual Ventures (United States) · US

Funding

TRAINING IN MOLECULAR PHYSICS OF BIOLOGICAL SYSTEMST32GM008267 · NIGMS · CORNELL UNIVERSITY ITHACA · PI WANG, MICHELLE D. · 1988 to 2021
$9.6M
Biomolecular Markers for Safe Minimization of ImmunosuppressionR37AI051652 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI SUTHANTHIRAN, MANIKKAM · 2009 to 2021
$4.7M
Epigenetic Profiling of circulating cell-free DNA for the Monitoring of Graft-Versus-Host Disease after Hematopoietic Cell TransplantationR01AI146165 · NIAID · CORNELL UNIVERSITY · PI DE VLAMINCK, IWIJN, RITZ, JEROME · 2020 to 2024
$3.4M
Metagenomic profiling of urinary cell-free DNA to monitor urinary tract infection after kidney transplantationR01AI151059 · NIAID · CORNELL UNIVERSITY · PI DADHANIA, DARSHANA, DE VLAMINCK, IWIJN · 2020 to 2024
$3.4M
Precision monitoring of kidney transplants via single-cell and single-molecule sequencingDP2AI138242 · NIAID · CORNELL UNIVERSITY · PI DE VLAMINCK, IWIJN · 2017 to 2017
$2.3M
Host-Pathogen Interactions From Measurements of Urinary Cell Free DNA in Kidney TransplantationR21AI133331 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI DE VLAMINCK, IWIJN, LEE, JOHN RICHARD · 2017 to 2018
$457k
NIAID NIH HHS DP2 AI138242NIAID NIH HHS R01 AI146165NIAID NIH HHS R01 AI151059NIAID NIH HHS R21 AI133331NIAID NIH HHS R37 AI051652NIGMS NIH HHS T32 GM008267NIH HHSNIH HHS 1DP2AI138242
6 · The paper itself

Abstract

backgroundMetagenomic sequencing of microbial cell-free DNA (cfDNA) in blood and urine is increasingly used as a tool for unbiased infection screening. The sensitivity of metagenomic cfDNA sequencing assays is determined by the efficiency by which the assay recovers microbial cfDNA vs host-specific cfDNA. We hypothesized that the choice of methods used for DNA isolation, DNA sequencing library preparation, and sequencing would affect the sensitivity of metagenomic cfDNA sequencing.

methodsWe characterized the fragment length biases inherent to select DNA isolation and library preparation procedures and developed a model to correct for these biases. We analyzed 305 cfDNA sequencing data sets, including publicly available data sets and 124 newly generated data sets, to evaluate the dependence of the sensitivity of metagenomic cfDNA sequencing on pre-analytical variables.

resultsLength bias correction of fragment length distributions measured from different experimental procedures revealed the ultrashort (<100 bp) nature of microbial-, mitochondrial-, and host-specific urinary cfDNA. The sensitivity of metagenomic sequencing assays to detect the clinically reported microorganism differed by more than 5-fold depending on the combination of DNA isolation and library preparation used.

conclusionsSubstantial gains in the sensitivity of microbial and other short fragment recovery can be achieved by easy-to-implement changes in the sample preparation protocol, which highlights the need for standardization in the liquid biopsy field.

Indexed as

Cell-Free Nucleic AcidsDNA FragmentationSequence Analysis, DNABiasDNAHumansMetagenomicsCell-Free Nucleic AcidsDNAcell-free DNAliquid biopsypre-analytical

Identifiers

PMID34718476
PMCPMC8718127
OpenAlexW3208366052

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.