Evidence map›Paper›PMID 33628638›Full record

ArticlePeerJ2021

Evaluation of full-length nanopore 16S sequencing for detection of pathogens in microbial keratitis.

Liying Low, Pablo Fuentes-Utrilla, James Hodson, John D O'Neil, Amanda E Rossiter, Ghazala Begum, Kusy Suleiman, Philip I Murray, Graham R Wallace, Nicholas J Loman and 2 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 33 citations in OpenAlex.

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  11. Diagnosis ofDiagnostics (Basel, Switzerland) · 2023
    Review
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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

12 authors at 4 institutions in 1 country.

Liying LowAcademic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, West Midlands, UK.
Pablo Fuentes-UtrillaMicrobesNG/School of Biosciences, University of Birmingham, Birmingham, West Midlands, UK.
James HodsonQueen Elizabeth Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, West Midlands, UK.
John D O'NeilInstitute of Inflammation and Ageing, University of Birmingham, Birmingham, West Midlands, UK.ORCID 0000-0001-8205-7024
Amanda E RossiterInstitute of Microbiology and Infection, University of Birmingham, Birmingham, West Midlands, UK.
Ghazala BegumInstitute of Inflammation and Ageing, University of Birmingham, Birmingham, West Midlands, UK.
Kusy SuleimanAcademic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, West Midlands, UK.ORCID 0000-0002-7884-8461
Philip I MurrayAcademic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, West Midlands, UK.ORCID 0000-0001-8491-3795
Graham R WallaceAcademic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, West Midlands, UK.
Nicholas J LomanMicrobesNG/School of Biosciences, University of Birmingham, Birmingham, West Midlands, UK.
Saaeha RauzAcademic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, West Midlands, UK.ORCID 0000-0003-4627-3496
West Midlands Collaborative Ophthalmology Network for Clinical Effectiveness & Research by Trainees (WM CONCERT)
University of Birmingham · GBNational Health Service · GBNational Institute for Health Research · GBUniversity Hospitals Birmingham NHS Foundation Trust · GB

Funding

Medical Research Council MR/J014370/1Medical Research Council MR/M501621/1
6 · The paper itself

Abstract

backgroundMicrobial keratitis is a leading cause of preventable blindness worldwide. Conventional sampling and culture techniques are time-consuming, with over 40% of cases being culture-negative. Nanopore sequencing technology is portable and capable of generating long sequencing reads in real-time. The aim of this study is to evaluate the potential of nanopore sequencing directly from clinical samples for the diagnosis of bacterial microbial keratitis.

methodsUsing full-length 16S rRNA amplicon sequences from a defined mock microbial community, we evaluated and benchmarked our bioinformatics analysis pipeline for taxonomic assignment on three different 16S rRNA databases (NCBI 16S RefSeq, RDP and SILVA) with clustering at 97%, 99% and 100% similarities. Next, we optimised the sample collection using an ex vivo porcine model of microbial keratitis to compare DNA recovery rates of 12 different collection methods: 21-gauge needle, PTFE membrane (4 mm and 6 mm), Isohelix

resultsWe found that applying alignment filtering to nanopore sequencing reads and aligning to the NCBI 16S RefSeq database at 100% similarity provided the most accurate bacterial taxa assignment. DNA concentration recovery rates differed significantly between the collection methods (

conclusionWe have optimised collection methods and demonstrated a novel workflow for identification of bacterial microbial keratitis using full-length 16S nanopore sequencing.

Indexed as

16S bioinformaticsCornea infectionCorneal infectionEye infectionEye swabFull length 16S rRNA sequencingMicrobial keratitisMolecular diagnosticsNanopore sequencingOphthalmology

Identifiers

PMID33628638
PMCPMC7891086
OpenAlexW3130472894

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.