English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/193965
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Exportar a otros formatos:


High-resolution mapping of tuberculosis transmission: Whole genome sequencing and phylogenetic modelling of a cohort from Valencia Region, Spain

AuthorsXu, Yuanwei; Cancino-Muñoz, Irving; Torres-Puente, Manuela ; Villamayor, Luis M.; Borrás, Rafael; Borrás-Máñez, María; Bosque, Montserrat; Camarena, Juan J.; Colomer-Roig, Ester; Colomina, Javier; Escribano, Isabel; Esparcia-Rodríguez, Oscar; Gil-Brusola, Ana; Gimeno, Concepción; Gimeno-Gascón, Adelina; Gomila-Sard, Bárbara; González-Granda, Damiana; Gonzalo-Jiménez, Nieves; Guna-Serrano, María Remedio; López-Hontangas, José Luis; Martín-González, Coral; Moreno-Muñoz, Rosario; Navarro, David; Navarro, María; Orta, Nieves; Pérez, Elvira; Prat, Josep; Rodríguez, Juan Carlos; Ruiz-García, María Montserrat; Vanaclocha, Herme; Colijn, Caroline; Comas, Iñaki
Issue Date31-Oct-2019
PublisherPublic Library of Science
CitationPLoS Medicine 16(10):e1002961. (2019)
AbstractBACKGROUND: Whole genome sequencing provides better delineation of transmission clusters in Mycobacterium tuberculosis than traditional methods. However, its ability to reveal individual transmission links within clusters is limited. Here, we used a 2-step approach based on Bayesian transmission reconstruction to (1) identify likely index and missing cases, (2) determine risk factors associated with transmitters, and (3) estimate when transmission happened. METHODS AND FINDINGS: We developed our transmission reconstruction method using genomic and epidemiological data from a population-based study from Valencia Region, Spain. Tuberculosis (TB) incidence during the study period was 8.4 cases per 100,000 people. While the study is ongoing, the sampling frame for this work includes notified TB cases between 1 January 2014 and 31 December 2016. We identified a total of 21 transmission clusters that fulfilled the criteria for analysis. These contained a total of 117 individuals diagnosed with active TB (109 with epidemiological data). Demographic characteristics of the study population were as follows: 80/109 (73%) individuals were Spanish-born, 76/109 (70%) individuals were men, and the mean age was 42.51 years (SD 18.46). We found that 66/109 (61%) TB patients were sputum positive at diagnosis, and 10/109 (9%) were HIV positive. We used the data to reveal individual transmission links, and to identify index cases, missing cases, likely transmitters, and associated transmission risk factors. Our Bayesian inference approach suggests that at least 60% of index cases are likely misidentified by local public health. Our data also suggest that factors associated with likely transmitters are different to those of simply being in a transmission cluster, highlighting the importance of differentiating between these 2 phenomena. Our data suggest that type 2 diabetes mellitus is a risk factor associated with being a transmitter (odds ratio 0.19 [95% CI 0.02-1.10], p < 0.003). Finally, we used the most likely timing for transmission events to study when TB transmission occurred; we identified that 5/14 (35.7%) cases likely transmitted TB well before symptom onset, and these were largely sputum negative at diagnosis. Limited within-cluster diversity does not allow us to extrapolate our findings to the whole TB population in Valencia Region. CONCLUSIONS: In this study, we found that index cases are often misidentified, with downstream consequences for epidemiological investigations because likely transmitters can be missed. Our findings regarding inferred transmission timing suggest that TB transmission can occur before patient symptom onset, suggesting also that TB transmits during sub-clinical disease. This result has direct implications for diagnosing TB and reducing transmission. Overall, we show that a transition to individual-based genomic epidemiology will likely close some of the knowledge gaps in TB transmission and may redirect efforts towards cost-effective contact investigations for improved TB control.
DescriptionArtículo con 20 páginas, 5 figuras, 1 tabla. All the sequence data are deposited in the European Nucleotide Archive under the Bioproject number PRJEB29604 (https://www.ebi.ac.uk/ena/data/view/PRJEB29604) and the accession numbers ERR2099780 (https://www.ebi.ac.uk/ena/data/search?query=ERR2099780) and ERR2099784 (https://www.ebi.ac.uk/ena/data/search?query=ERR2099784).
Publisher version (URL)http://dx.doi.org/10.1371/journal.pmed.1002961
Appears in Collections:(IBV) Artículos
Files in This Item:
File Description SizeFormat 
2019 PLoS Med 16-e1002961.pdf2,27 MBAdobe PDFThumbnail
Show full item record
Review this work

Related articles:

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.