Whole genome sequencing-based analysis of tuberculosis (TB) in migrants: rapid tools for cross-border surveillance and to distinguish between recent transmission in the host country and new importations.
Bacterial Typing Techniques
/ methods
Emigration and Immigration
Humans
Minisatellite Repeats
/ genetics
Molecular Epidemiology
Multilocus Sequence Typing
/ methods
Mycobacterium tuberculosis
/ genetics
Polymerase Chain Reaction
Polymorphism, Single Nucleotide
Retrospective Studies
Sentinel Surveillance
Spain
Transients and Migrants
/ statistics & numerical data
Tuberculosis
/ diagnosis
Whole Genome Sequencing
/ methods
TB
WGS
cross-border surveillance
immigration
importation
migrants
molecular epidemiology
surveillance
transmission
tuberculosis
whole genome sequencing
Journal
Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin
ISSN: 1560-7917
Titre abrégé: Euro Surveill
Pays: Sweden
ID NLM: 100887452
Informations de publication
Date de publication:
Jan 2019
Jan 2019
Historique:
entrez:
31
1
2019
pubmed:
31
1
2019
medline:
28
7
2020
Statut:
ppublish
Résumé
BackgroundThe analysis of transmission of tuberculosis (TB) is challenging in areas with a large migrant population. Standard genotyping may fail to differentiate transmission within the host country from new importations, which is key from an epidemiological perspective.AimTo propose a new strategy to simplify and optimise cross-border surveillance of tuberculosis and to distinguish between recent transmission in the host country and new importationsMethodsWe selected 10 clusters, defined by 24-locus mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR), from a population in Spain rich in migrants from eastern Europe, north Africa and west Africa and reanalysed 66 isolates by whole-genome sequencing (WGS). A multiplex-allele-specific PCR was designed to target strain-specific marker single nucleotide polymorphisms (SNPs), identified from WGS data, to optimise the surveillance of the most complex cluster.ResultsIn five of 10 clusters not all isolates showed the short genetic distances expected for recent transmission and revealed a higher number of SNPs, thus suggesting independent importations of prevalent strains in the country of origin. In the most complex cluster, rich in Moroccan cases, a multiplex allele-specific oligonucleotide-PCR (ASO-PCR) targeting the marker SNPs for the transmission subcluster enabled us to prospectively identify new secondary cases. The ASO-PCR-based strategy was transferred and applied in Morocco, demonstrating that the strain was prevalent in the country.ConclusionWe provide a new model for optimising the analysis of cross-border surveillance of TB transmission in the scenario of global migration.
Identifiants
pubmed: 30696526
doi: 10.2807/1560-7917.ES.2019.24.4.1800005
pmc: PMC6351995
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Références
J Clin Microbiol. 2001 Mar;39(3):855-61
pubmed: 11230395
J Clin Microbiol. 2004 Jul;42(7):2952-60
pubmed: 15243044
J Clin Microbiol. 2006 Dec;44(12):4498-510
pubmed: 17005759
Clin Infect Dis. 2008 Jul 1;47(1):8-14
pubmed: 18484876
Clin Microbiol Infect. 2009 May;15(5):435-42
pubmed: 19416291
J Clin Microbiol. 2009 Jul;47(7):2026-32
pubmed: 19458183
N Engl J Med. 2011 Feb 24;364(8):730-9
pubmed: 21345102
Clin Microbiol Infect. 2013 Mar;19(3):292-7
pubmed: 22404140
J Clin Microbiol. 2012 Aug;50(8):2660-7
pubmed: 22675129
PLoS One. 2012;7(7):e41253
pubmed: 22911768
PLoS One. 2012;7(10):e47113
pubmed: 23077552
Lancet Infect Dis. 2013 Feb;13(2):137-46
pubmed: 23158499
PLoS Med. 2013;10(2):e1001387
pubmed: 23424287
Clin Microbiol Infect. 2013 Sep;19(9):796-802
pubmed: 23432709
BMC Infect Dis. 2013 Feb 27;13:110
pubmed: 23446317
Infect Genet Evol. 2014 Jan;21:463-71
pubmed: 23732366
J Infect Dis. 2014 Jan 1;209(1):98-108
pubmed: 23945373
Nat Genet. 2013 Oct;45(10):1176-82
pubmed: 23995134
Lancet Infect Dis. 2014 May;14(5):406-15
pubmed: 24602842
Euro Surveill. 2014 Mar 06;19(9):null
pubmed: 24626208
Euro Surveill. 2014 Mar 20;19(11):null
pubmed: 24679719
Lancet Respir Med. 2014 Apr;2(4):285-292
pubmed: 24717625
J Clin Microbiol. 2014 Jul;52(7):2479-86
pubmed: 24789177
Nat Commun. 2014 Sep 01;5:4812
pubmed: 25176035
Clin Microbiol Infect. 2015 Mar;21(3):249.e1-9
pubmed: 25614157
Elife. 2015 Mar 03;4:null
pubmed: 25732036
Curr Biol. 2015 Dec 21;25(24):3260-6
pubmed: 26687624
J Clin Microbiol. 2016 Mar;54(3):779-81
pubmed: 26719445
PLoS One. 2016 Apr 15;11(4):e0153668
pubmed: 27082745
J Clin Microbiol. 2016 Jul;54(7):1862-1870
pubmed: 27194683
J Clin Microbiol. 2016 Dec;54(12):2969-2974
pubmed: 27682128
PLoS One. 2016 Oct 17;11(10):e0164736
pubmed: 27749904
Clin Microbiol Infect. 2017 Mar;23(3):161-166
pubmed: 27789378
Int J Mycobacteriol. 2016 Dec;5 Suppl 1:S252-S253
pubmed: 28043590
Euro Surveill. 2017 Jan 12;22(2):
pubmed: 28106529
J Infect Dis. 2017 Aug 1;216(3):366-374
pubmed: 28666374
PLoS One. 2017 Nov 1;12(11):e0186956
pubmed: 29091913