Evidence map›Paper›PMID 41282688›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Fragment end motif analysis to distinguish pathogens from contaminants in enriched plasma microbial DNA.

Haikun Zhang, Eddie G Dominguez, Mary Junak, Muhammed Murtaza, Caitlin S Pepperell, Mehreen T Kisat

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

6 authors.

Haikun ZhangCenter for Precision Medicine, School of Medicine and Public Health, University of Wisconsin - Madison.
Eddie G DominguezCenter for Precision Medicine, School of Medicine and Public Health, University of Wisconsin - Madison.
Mary JunakDepartment of Surgery, School of Medicine and Public Health, University of Wisconsin - Madison.
Muhammed MurtazaCenter for Precision Medicine, School of Medicine and Public Health, University of Wisconsin - Madison.ORCID 0000-0001-7557-2861
Caitlin S PepperellDepartment of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Mehreen T KisatCenter for Precision Medicine, School of Medicine and Public Health, University of Wisconsin - Madison.

Funding

Improving diagnosis of post-traumatic sepsis using plasma microbial DNA sequencingK08GM148858 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Mehreen T Kisat · 2023 to 2026
$762k
NIGMS NIH HHS K08 GM148858
6 · The paper itself

Abstract

Introduction: Despite its promise, accuracy of microbial cell-free DNA (mDNA) in plasma as a diagnostic tool is hindered by its low abundance and process contaminants. We have previously shown that combining size selection with single-stranded DNA (ssDNA) library preparation increased mDNA yield by 200-fold but also decreased sensitivity for pathogen detection due to higher background noise. A recent study showed that pathogen-derived DNA was enriched for CC dinucleotide at 5' ends compared to contaminants. Since ssDNA libraries preserve sequence motifs at both ends (5' and 3'), we hypothesized that analysis of nucleotide motifs at microbial fragment ends in size-selected ssDNA libraries could help differentiate pathogen DNA from background noise. Methods: We performed deep sequencing on size-selected ssDNA libraries (<110 bp) generated from longitudinal plasma samples of 11 critically-ill patients (5 with culture-proven infections, 20 samples; 6 without infections, 18 samples) and 6 no-template controls (NTCs). For each 2-mer and 1-mer motif, we calculated the ratio between its frequency observed at 5' and 3' fragment ends in sequencing data and its expected frequency in the corresponding reference genome (O/E ratio). We compared enrichment of motifs in pathogen DNA and contaminant DNA fragments. Results: Pathogen-derived mDNA fragments were more biased in O/E end motif ratios compared to contaminants across all 3 groups (NTCs, no-infections and culture-proven infections), at both 5' and 3' fragment ends. Notably, the GG dinucleotide was enriched at the 3' end in pathogens compared to contaminants (P < 0.0001). Combining O/E ratios for C and G nucleotides at the 3' end achieved areas under the receiver operating characteristic curve of >0.98 for distinguishing common contaminants from culture-proven pathogens. Conclusions: Pathogen-derived mDNA in size-selected ssDNA libraries is biased at 5' and 3' fragment end compared to contaminants. Incorporating microbial fragment end motif analysis can enhance signal-to-noise ratio and improve pathogen detection and identification in plasma metagenomic sequencing.

Identifiers

PMID41282688
PMCPMC12637738

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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.