Evidence map›Paper›PMID 36699719›Full record

ArticleFrontiers in cellular and infection microbiology2022

Improved targeting of the 16S rDNA nanopore sequencing method enables rapid pathogen identification in bacterial pneumonia in children.

Yinghu Chen, Lingfeng Mao, Dengming Lai, Weize Xu, Yuebai Zhang, Sihao Wu, Di Yang, Shaobo Zhao, Zhicong Liu, Yi Xiao and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.0field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

16 authors at 2 institutions in 1 country.

Yinghu ChenThe Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Lingfeng MaoJoint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, China.
Dengming LaiThe Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Weize XuThe Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yuebai ZhangThe Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Sihao WuJoint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, China.
Di YangJoint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, China.
Shaobo ZhaoThe Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zhicong LiuThe Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yi XiaoThe Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yi TangJoint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, China.
Xiaofang MengJoint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, China.
Min WangJoint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, China.
Jueliang ShiJoint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, China.
Qixing ChenThe Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Qiang ShuThe Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zhejiang University · CNChildren's Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To develop a rapid and low-cost method for 16S rDNA nanopore sequencing. Methods: This was a prospective study on a 16S rDNA nanopore sequencing method. We developed this nanopore barcoding 16S sequencing method by adding barcodes to the 16S primer to reduce the reagent cost and simplify the experimental procedure. Twenty-one common pulmonary bacteria (7 reference strains, 14 clinical isolates) and 94 samples of bronchoalveolar lavage fluid from children with severe pneumonia were tested. Results indicating low-abundance pathogenic bacteria were verified with the polymerase chain reaction (PCR). Further, the results were compared with those of culture or PCR. Results: The turnaround time was shortened to 6~8 hours and the reagent cost of DNA preparation was reduced by employing a single reaction adding barcodes to the 16S primer in advance. The accuracy rate for the 21 common pulmonary pathogens with an abundance ≥ 99% was 100%. Applying the culture or PCR results as the gold standard, 71 (75.5%) of the 94 patients were positive, including 25 positive cultures (26.6%) and 52 positive quantitative PCRs (55.3%). The median abundance in the positive culture and qPCR samples were 29.9% and 6.7%, respectively. With an abundance threshold increase of 1%, 5%, 10%, 15% and 20%, the test sensitivity decreased gradually to 98.6%, 84.9%, 72.6%, 67.1% and 64.4%, respectively, and the test specificity increased gradually to 33.3%, 71.4%, 81.0%, 90.5% and 100.0%, respectively. Conclusions: The nanopore barcoding 16S sequencing method can rapidly identify the pathogens causing bacterial pneumonia in children.

Indexed as

Nanopore SequencingPneumonia, BacterialBacteriaChildDNA, BacterialDNA, RibosomalHumansProspective StudiesRNA, Ribosomal, 16SDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S16S rDNAbacterial pneumoniaBALFnanopore sequencingprospective study

Identifiers

PMID36699719
PMCPMC9868273
OpenAlexW4313891279

What OpenQuestion holds

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LicenceCC BY
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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.