Evidence map›Paper›PMID 31709051›Full record

ArticleClinical & translational immunology2019

Rapid sequencing-based diagnosis of infectious bacterial species from meningitis patients in Zambia.

So Nakagawa, Shigeaki Inoue, Kirill Kryukov, Junya Yamagishi, Ayumu Ohno, Kyoko Hayashida, Ruth Nakazwe, Mox Kalumbi, Darlington Mwenya, Nana Asami and 3 more

Abstract read
In one paragraph

Article in Clinical & translational immunology, 2019. 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
–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

17 citing papers in PubMed.

  1. Article
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  10. Review
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  13. Review
  14. Nanopore sequencing and its application to the study of microbial communities.Computational and structural biotechnology journal · 2021
    Review
  15. Article
  16. A lab in the field: applications of real-time,Biology methods & protocols · 2020
    Article
  17. Frontiers in antiviral therapy and immunotherapy.Clinical & translational immunology · 2020
    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

13 authors.

So NakagawaDepartment of Molecular Life Science Tokai University School of Medicine Isehara Japan.ORCID https://orcid.org/0000-0003-1760-3839
Shigeaki InoueDepartment of Emergency and Critical Care Medicine Tokai University School of Medicine Isehara Japan.
Kirill KryukovDepartment of Molecular Life Science Tokai University School of Medicine Isehara Japan.
Junya YamagishiResearch Center for Zoonosis Control Hokkaido University Sapporo Japan.
Ayumu OhnoDepartment of Molecular Life Science Tokai University School of Medicine Isehara Japan.
Kyoko HayashidaResearch Center for Zoonosis Control Hokkaido University Sapporo Japan.
Ruth NakazweDepartment of Pathology and Microbiology University Teaching Hospital Lusaka Zambia.
Mox KalumbiDepartment of Pathology and Microbiology University Teaching Hospital Lusaka Zambia.
Darlington MwenyaDepartment of Pathology and Microbiology University Teaching Hospital Lusaka Zambia.
Nana AsamiDepartment of Molecular Life Science Tokai University School of Medicine Isehara Japan.
Chihiro SugimotoResearch Center for Zoonosis Control Hokkaido University Sapporo Japan.
Mable M MutengoDepartment of Pathology and Microbiology University Teaching Hospital Lusaka Zambia.
Tadashi ImanishiDepartment of Molecular Life Science Tokai University School of Medicine Isehara Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe have developed a portable system for the rapid determination of bacterial composition for the diagnosis of infectious diseases. Our system comprises of a nanopore technology-based sequencer, MinION, and two laptop computers. To examine the accuracy and time efficiency of our system, we provided a proof-of-concept for the detection of the causative bacteria of 11 meningitis patients in Zambia.

methodsWe extracted DNA from cerebrospinal fluid samples of each patient and amplified the 16S rRNA gene regions. The sequencing library was prepared, and the sequenced reads were simultaneously processed for bacterial composition determination using the minimap2 software and the representative prokaryote genomes.

resultsThe sequencing results of four of the six culture-positive samples were consistent with those of conventional culture-based methods. The dominant bacterial species in each of these samples were identified from the sequencing data within only 3 min. Although the major bacterial species were also detected from the other two culture-positive samples and five culture-negative samples, their presence could not be confirmed. Moreover, as a whole, although the number of sequencing reads obtained within a short sequencing run was small, there was no change in the major bacterial species over time with prolonged sequencing. In addition, the processing time strongly correlated with the number of sequencing reads used for the analysis.

conclusionOur results suggest that time-effective analysis could be achieved by determining the number of sequencing reads required for the rapid diagnosis of infectious bacterial species depending on the complexity of bacterial species in a sample.

Indexed as

meningitismeta 16S rRNA sequencingmicrobiomenanopore sequencingrapid diagnosis

Identifiers

PMID31709051
PMCPMC6831930

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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.