Evidence map›Paper›PMID 32046792›Full record

ArticleMicrobiome2020

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

Philip Burnham, Nardhy Gomez-Lopez, Michael Heyang, Alexandre Pellan Cheng, Joan Sesing Lenz, Darshana M Dadhania, John Richard Lee, Manikkam Suthanthiran, Roberto Romero, Iwijn De Vlaminck

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
11.4field-weighted citation impact, top 1% 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

34 citing papers in PubMed, 51 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Plasma cell-free RNA signatures of inflammatory syndromes in children.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. A key role for NLRP3 signaling in preterm labor and birth driven by the alarmin S100B.Translational research : the journal of laboratory and clinical medicine · 2023
    Article
  17. Review
  18. Article
  19. Article
  20. Article
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

10 authors at 3 institutions in 1 country.

Philip BurnhamMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Nardhy Gomez-LopezPerinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, MD, USA.
Michael HeyangMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Alexandre Pellan ChengMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Joan Sesing LenzMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Darshana M DadhaniaDepartment of Transplantation Medicine, New York Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, USA.
John Richard LeeDepartment of Transplantation Medicine, New York Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, USA.
Manikkam SuthanthiranDepartment of Transplantation Medicine, New York Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, USA.
Roberto RomeroPerinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, MD, USA.
Iwijn De VlaminckMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA. vlaminck@cornell.edu.ORCID 0000-0001-6085-7311
Cornell University · USNewYork–Presbyterian Hospital · USNational Institutes of Health · US

Funding

Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
Prenatal Diagnosis Of Congenital AnomaliesZIAHD002401 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI ROMERO, ROBERTO · 2009 to 2025
$81.1M
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
Precision monitoring of kidney transplants via single-cell and single-molecule sequencingDP2AI138242 · NIAID · CORNELL UNIVERSITY · PI DE VLAMINCK, IWIJN · 2017 to 2017
$2.3M
Gut Microbiome, Acute Rejection, and Tacrolimus Dosing in Kidney TransplantationK23AI124464 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI LEE, JOHN RICHARD · 2016 to 2020
$944k
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
Mitochondrial Cell-Free DNA as a Marker of Rejection and Damage-Associated Molecular Pattern in Organ TransplantationR21AI124237 · NIAID · CORNELL UNIVERSITY · PI DE VLAMINCK, IWIJN · 2016 to 2017
$427k
NCATS NIH HHS UL1 TR002384NIAID NIH HHS DP2 AI138242NIAID NIH HHS K23 AI124464NIAID NIH HHS R01 AI146165NIAID NIH HHS R21 AI124237NIAID NIH HHS R21 AI133331NICHD NIH HHS HHSN275201300006CNIH HHS DP2AI138242NIH HHS HHSN275201300006CNIH HHS K23AI124464NIH HHS R21AI124237NIH HHS R21AI133331
6 · The paper itself

Abstract

backgroundCell-free DNA (cfDNA) in blood, urine, and other biofluids provides a unique window into human health. A proportion of cfDNA is derived from bacteria and viruses, creating opportunities for the diagnosis of infection via metagenomic sequencing. The total biomass of microbial-derived cfDNA in clinical isolates is low, which makes metagenomic cfDNA sequencing susceptible to contamination and alignment noise.

resultsHere, we report low biomass background correction (LBBC), a bioinformatics noise filtering tool informed by the uniformity of the coverage of microbial genomes and the batch variation in the absolute abundance of microbial cfDNA. We demonstrate that LBBC leads to a dramatic reduction in false positive rate while minimally affecting the true positive rate for a cfDNA test to screen for urinary tract infection. We next performed high-throughput sequencing of cfDNA in amniotic fluid collected from term uncomplicated pregnancies or those complicated with clinical chorioamnionitis with and without intra-amniotic infection.

conclusionsThe data provide unique insight into the properties of fetal and maternal cfDNA in amniotic fluid, demonstrate the utility of cfDNA to screen for intra-amniotic infection, support the view that the amniotic fluid is sterile during normal pregnancy, and reveal cases of intra-amniotic inflammation without infection at term. Video abstract.

Indexed as

MetagenomeAmniotic FluidCell-Free Nucleic AcidsChorioamnionitisCommunicable DiseasesComputational BiologyCross-Sectional StudiesData AnalysisDNA, BacterialFalse Positive ReactionsFemaleFetusHigh-Throughput Nucleotide SequencingHumansInflammationMaleCell-Free Nucleic AcidsDNA, BacterialBiomarkersCell-free DNAInfectious diseaseMetagenomicsPrenatal health

Identifiers

PMID32046792
PMCPMC7014780
OpenAlexW3006410055

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.