Evidence map›Paper›PMID 38431684›Full record

ArticleScientific reports2024

Multi-platform whole genome sequencing for tuberculosis clinical and surveillance applications.

Joseph Thorpe, Waritta Sawaengdee, Daniel Ward, Monica Campos, Nuanjun Wichukchinda, Boonchai Chaiyasirinroje, Aungkana Thanraka, Jaluporn Chumpol, Jody E Phelan, Susana Campino and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Protein Architecture and Composition in Mycobacterium tuberculosis.Advances in experimental medicine and biology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. 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

12 authors.

Joseph Thorpe *Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Waritta Sawaengdee *Department of Medical Sciences, Medical Genetics Center, Medical Life Sciences Institute, Ministry of Public Health, Nonthaburi, 11000, Thailand.
Daniel WardDepartment of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Monica CamposDepartment of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Nuanjun WichukchindaDepartment of Medical Sciences, Medical Genetics Center, Medical Life Sciences Institute, Ministry of Public Health, Nonthaburi, 11000, Thailand.
Boonchai ChaiyasirinrojeTB/HIV Research Foundation (THRF), Chiang Rai, 57000, Thailand.
Aungkana ThanrakaDepartment of Medical Technology, Chiangrai Prachanukroh Hospital, Chiang Rai, 57000, Thailand.
Jaluporn ChumpolThe Office of Disease Prevention and Control 7, Khon Kaen, 40000, Thailand.
Jody E PhelanDepartment of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Susana CampinoDepartment of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Surakameth MahasirimongkolDepartment of Medical Sciences, Medical Genetics Center, Medical Life Sciences Institute, Ministry of Public Health, Nonthaburi, 11000, Thailand.
Taane G ClarkDepartment of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK. taane.clark@lshtm.ac.uk.

Funding

Ministry of Public Health,Thailand HSRI 64-179Thailand Health systems research institute HSRI 64-179UK Research and Innovation MR/X005895/1; EPSRC (EP/Y018842/1)
6 · The paper itself

Abstract

Whole genome sequencing (WGS) of Mycobacterium tuberculosis offers valuable insights for tuberculosis (TB) control. High throughput platforms like Illumina and Oxford Nanopore Technology (ONT) are increasingly used globally, although ONT is known for higher error rates and is less established for genomic studies. Here we present a study comparing the sequencing outputs of both Illumina and ONT platforms, analysing DNA from 59 clinical isolates in highly endemic TB regions of Thailand. The resulting sequence data were used to profile the M. tuberculosis pairs for their lineage, drug resistance and presence in transmission chains, and were compared to publicly available WGS data from Thailand (n = 1456). Our results revealed isolates that are predominantly from lineages 1 and 2, with consistent drug resistance profiles, including six multidrug-resistant strains; however, analysis of ONT data showed longer phylogenetic branches, emphasising the technologies higher error rate. An analysis incorporating the larger dataset identified fifteen of our samples within six potential transmission clusters, including a significant clade of 41 multi-drug resistant isolates. ONT's extended sequences also revealed strain-specific structural variants in pe/ppe genes (e.g. ppe50), which are candidate loci for vaccine development. Despite some limitations, our results show that ONT sequencing is a promising approach for TB genomic research, supporting precision medicine and decision-making in areas with less developed infrastructure, which is crucial for tackling the disease's significant regional burden.

Indexed as

Mycobacterium tuberculosisTuberculosisTuberculosis, Multidrug-ResistantAntitubercular AgentsDrug Resistance, Multiple, BacterialHumansMicrobial Sensitivity TestsPhylogenyWhole Genome SequencingAntitubercular AgentsGenomicsMycobacteriumPe/ppe genesSequencingTransmissionTuberculosis

Identifiers

PMID38431684
PMCPMC10908857

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.