Evidence map›Paper›PMID 41510275›Full record

ArticleResearch square2025

Metagenomic Cell-free DNA Sequencing for Treatment Monitoring in Sepsis.

Iwijn De Vlaminck, Omary Mzava, Liz-Audrey Djomnang, Alexandre Cheng, Luis Gomez-Escobar, Joan Lenz, Emma Belcher, Edward Schenck

Abstract readPreprint
In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Iwijn De VlaminckCornell University.ORCID 0000-0001-6085-7311
Omary MzavaCornell University.
Liz-Audrey DjomnangCornell University.ORCID 0000-0002-7175-5422
Alexandre ChengCornell University.
Luis Gomez-EscobarWeill Cornell Medicine.
Joan LenzCornell University.
Emma BelcherCornell University.
Edward SchenckWeill Cornell Medicine.ORCID 0000-0002-7950-5989

Funding

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
Necroinflammatory Cell Death in SepsisK23HL151876 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SCHENCK, EDWARD JAMES · 2021 to 2025
$975k
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
NHLBI NIH HHS K23 HL151876NIAID NIH HHS DP2 AI138242NIAID NIH HHS R01 AI146165NIAID NIH HHS R21 AI124237NIAID NIH HHS R21 AI133331
6 · The paper itself

Abstract

Sepsis is a life-threatening organ dysfunction caused by a dysregulated response to infection. Early identification of pathogens and accurate assessment of organ injury are critical for improving outcomes, but current methods are often inadequate, especially after initiation of antibiotic treatment. Metagenomic sequencing of cell-free DNA (cfDNA) offers a promising alternative, enabling simultaneous pathogen detection and tissue-of-origin profiling. Contamination, however, can limit its accuracy in low-biomass samples. Here, we apply the Sample-Intrinsic Microbial DNA Found by Tagging and Sequencing (SIFT-seq) assay, which reduces contamination and allows detection of pathogens and organ injury simultaneously. We analyzed 142 plasma specimens: 105 from sepsis patients, 103 collected after initiation of antibiotic treatment, 24 from non-sepsis ICU controls, and 13 from healthy controls. SIFT-seq identified sepsis-causing pathogens in good agreement with pre-antibiotic blood cultures, revealed elevated immune activity and organ injury in sepsis patients, and, when combined with the SOFA score in a multivariate model, improved diagnostic performance (AUC = 0.874). These findings highlight the potential of integrated cfDNA profiling to enhance sepsis diagnosis.

Identifiers

PMID41510275
PMCPMC12776501

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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.