Evidence map›Paper›PMID 40062856›Full record

ArticleMicrobiology spectrum2025

Analytical assessment of metagenomic workflows for pathogen detection with NIST RM 8376 and two sample matrices.

Jason G Kralj, Stephanie L Servetas, Samuel P Forry, Monique E Hunter, Jennifer N Dootz, Scott A Jackson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Jason G KraljComplex Microbial Systems Group, Biosystems and Biomaterials Division, Materials Measurements Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland, USA.ORCID 0000-0003-4565-1176
Stephanie L ServetasComplex Microbial Systems Group, Biosystems and Biomaterials Division, Materials Measurements Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland, USA.
Samuel P ForryComplex Microbial Systems Group, Biosystems and Biomaterials Division, Materials Measurements Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland, USA.
Monique E HunterComplex Microbial Systems Group, Biosystems and Biomaterials Division, Materials Measurements Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland, USA.
Jennifer N DootzComplex Microbial Systems Group, Biosystems and Biomaterials Division, Materials Measurements Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland, USA.
Scott A JacksonComplex Microbial Systems Group, Biosystems and Biomaterials Division, Materials Measurements Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We assessed the analytical performance of metagenomic workflows using NIST Reference Material (RM) 8376 DNA from bacterial pathogens spiked into two simulated clinical samples: cerebrospinal fluid (CSF) and stool. Sequencing and taxonomic classification were used to generate signals for each sample and taxa of interest and to estimate the limit of detection (LOD), the linearity of response, and linear dynamic range. We found that the LODs for taxa spiked into CSF ranged from approximately 100 to 300 copy/mL, with a linearity of 0.96 to 0.99. For stool, the LODs ranged from 10 to 221 kcopy/mL, with a linearity of 0.99 to 1.01. Furthermore, discriminating different

Indexed as

BacteriaFecesMetagenomicsCerebrospinal FluidDNA, BacterialHumansLimit of DetectionWorkflowDNA, Bacterialmetagenomicspathogen detectionreference materialspike-in

Identifiers

PMID40062856
PMCPMC11960059

What OpenQuestion holds

Textmetadata
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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.