Evidence map›Paper›PMID 37938717›Full record

ArticleISME communications2022

Effect of bacterial DNA enrichment on detection and quantification of bacteria in an infected tissue model by metagenomic next-generation sequencing.

Vladimir Lazarevic, Nadia Gaïa, Myriam Girard, Florian Mauffrey, Etienne Ruppé, Jacques Schrenzel

Open access · goldAbstract read
In one paragraph

Article in ISME communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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  7. Postpartum septic arthritis of pubic symphysis due toNew microbes and new infections · 2023
    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

6 authors at 2 institutions in 2 countries.

Vladimir LazarevicGenomic Research Laboratory, Division of Infectious Diseases, Department of Medicine, University Hospitals and University of Geneva, Geneva, Switzerland. vladimir.lazarevic@genomic.ch.ORCID http://orcid.org/0000-0002-6839-2536
Nadia GaïaGenomic Research Laboratory, Division of Infectious Diseases, Department of Medicine, University Hospitals and University of Geneva, Geneva, Switzerland.
Myriam GirardGenomic Research Laboratory, Division of Infectious Diseases, Department of Medicine, University Hospitals and University of Geneva, Geneva, Switzerland.
Florian MauffreyGenomic Research Laboratory, Division of Infectious Diseases, Department of Medicine, University Hospitals and University of Geneva, Geneva, Switzerland.
Etienne RuppéUniversité Sorbonne Paris Nord and INSERM UMR1137 IAME, Université de Paris Cité, Paris, France.
Jacques SchrenzelGenomic Research Laboratory, Division of Infectious Diseases, Department of Medicine, University Hospitals and University of Geneva, Geneva, Switzerland.
University of Geneva · CHInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Before implementing metagenomic next-generation sequencing (mNGS) in the routine diagnostic laboratory, several challenges need to be resolved. To address strengths and limitations of mNGS in bacterial detection and quantification in samples with overwhelming host DNA abundance, we used the pig muscle tissue spiked with a home-made bacterial mock community, consisting of four species from different phyla. From the spiked tissue, we extracted DNA using: (i) a procedure based on mechanical/chemical lysis (no bacterial DNA enrichment); (ii) the Ultra-Deep Microbiome Prep (Molzym) kit for bacterial DNA enrichment; and (iii) the same enrichment kit but replacing the original proteinase K treatment for tissue solubilization by a collagenases/thermolysin digestion and cell filtration. Following mNGS, we determined bacterial: 'host' read ratios and taxonomic abundance profiles. We calculated the load of each mock-community member by combining its read counts with read counts and microscopically-determined cell counts of other co-spiked bacteria. In unenriched samples, bacterial quantification and taxonomic profiling were fairly accurate but at the expense of the sensitivity of detection. The removal of 'host' DNA by the modified enrichment protocol substantially improved bacterial detection in comparison to the other two extraction procedures and generated less distorted taxonomic profiles as compared to the original enrichment protocol.

Identifiers

PMID37938717
PMCPMC9792467
OpenAlexW4312220239

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.