Evidence map›Paper›PMID 32948225›Full record

ArticleBMC research notes2020

Rapid and economical drug resistance profiling with Nanopore MinION for clinical specimens with low bacillary burden of Mycobacterium tuberculosis.

Wai Sing Chan, Chun Hang Au, Yvonne Chung, Henry Chi Ming Leung, Dona N Ho, Elaine Yue Ling Wong, Tak Wah Lam, Tsun Leung Chan, Edmond Shiu Kwan Ma, Bone Siu Fai Tang

Abstract read
In one paragraph

Article in BMC research notes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
–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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Rapid drug resistance prediction in positiveEmerging microbes & infections · 2026
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  11. Laboratory tools for the direct detection of bacterial respiratory infections and antimicrobial resistance: a scoping review.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2024
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  12. Air monitoring by nanopore sequencing.ISME communications · 2024
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  14. Review
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  16. Real-time genomics for One Health.Molecular systems biology · 2023
    Review
  17. Article
  18. Review
  19. Differential Impact of theMicrobiology spectrum · 2022
    Article
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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

10 authors.

Wai Sing ChanDepartment of Pathology, Hong Kong Sanatorium & Hospital, Hong Kong, China.
Chun Hang AuDepartment of Pathology, Hong Kong Sanatorium & Hospital, Hong Kong, China.
Yvonne ChungDepartment of Pathology, Hong Kong Sanatorium & Hospital, Hong Kong, China.
Henry Chi Ming LeungDepartment of Computer Science, The University of Hong Kong, Hong Kong, China.
Dona N HoDepartment of Pathology, Hong Kong Sanatorium & Hospital, Hong Kong, China.
Elaine Yue Ling WongDepartment of Pathology, Hong Kong Sanatorium & Hospital, Hong Kong, China.
Tak Wah LamDepartment of Computer Science, The University of Hong Kong, Hong Kong, China.
Tsun Leung ChanDepartment of Pathology, Hong Kong Sanatorium & Hospital, Hong Kong, China.
Edmond Shiu Kwan MaDepartment of Pathology, Hong Kong Sanatorium & Hospital, Hong Kong, China.
Bone Siu Fai TangDepartment of Pathology, Hong Kong Sanatorium & Hospital, Hong Kong, China. bsftang@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe designed and tested a Nanopore sequencing panel for direct tuberculosis drug resistance profiling. The panel targeted 10 resistance-associated loci. We assessed the feasibility of amplifying and sequencing these loci from 23 clinical specimens with low bacillary burden.

resultsAt least 8 loci were successfully amplified from the majority for predicting first- and second-line drug resistance (14/23, 60.87%), and the 12 specimens yielding all 10 targets were sequenced with Nanopore MinION and Illumina MiSeq. MinION sequencing data was corrected by Nanopolish and recurrent variants were filtered. A total of 67,082 bases across all consensus sequences were analyzed, with 67,019 bases called by both MinION and MiSeq as wildtype. For the 41 single nucleotide variants (SNVs) called by MiSeq with 100% variant allelic frequency (VAF), 39 (95.1%) were called by MinION. For the 22 mixed bases called by MiSeq, a SNV with the highest VAF (70%) was called by MinION. With short assay time, reasonable reagent cost as well as continuously improving sequencing chemistry and signal correction pipelines, this Nanopore method can be a viable option for direct tuberculosis drug resistance profiling in the near future.

Indexed as

Mycobacterium tuberculosisNanoporesTuberculosisDrug ResistanceHigh-Throughput Nucleotide SequencingHumansAntibiotic resistanceIllumina MiSeqMDR-TBNanopore MinIONNGSTuberculosisXDR-TBXpert MTB/RIF

Identifiers

PMID32948225
PMCPMC7501614

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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.