Evidence map›Paper›PMID 41939704›Full record

ArticleFrontiers in microbiology2026

Population structure and spatial distribution of

Antoni E Bordoy, Vadim Leonov, Mariana G López, Elisabet Sicart-Torres, Laia Soler, Adrián Antuori, David Panisello Yagüe, Miguel Moreno-Molina, Laura Gavaldà, Jacobo Mendioroz and 5 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Antoni E Bordoy *Microbiology Department, Laboratori Clínic Metropolitana Nord, Germans Trias i Pujol Research Institute and Hospital (IGTP), Badalona, Spain.
Vadim Leonov *Microbiology Department, Laboratori Clínic Metropolitana Nord, Germans Trias i Pujol Research Institute and Hospital (IGTP), Badalona, Spain.
Mariana G LópezTuberculosis Genomics Unit, Instituto de Biomedicina de Valencia (IBV, CSIC), Valencia, Spain.
Elisabet Sicart-TorresDepartament de Salut, Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona, Spain.
Laia SolerMicrobiology Department, Laboratori Clínic Metropolitana Nord, Germans Trias i Pujol Research Institute and Hospital (IGTP), Badalona, Spain.
Adrián AntuoriMicrobiology Department, Laboratori Clínic Metropolitana Nord, Germans Trias i Pujol Research Institute and Hospital (IGTP), Badalona, Spain.
David Panisello YagüeMicrobiology Department, Laboratori Clínic Metropolitana Nord, Germans Trias i Pujol Research Institute and Hospital (IGTP), Badalona, Spain.
Miguel Moreno-MolinaTuberculosis Genomics Unit, Instituto de Biomedicina de Valencia (IBV, CSIC), Valencia, Spain.
Laura GavaldàDepartament de Salut, Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona, Spain.
Jacobo MendiorozDepartament de Salut, Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona, Spain.
Pere-Joan CardonaMicrobiology Department, Laboratori Clínic Metropolitana Nord, Germans Trias i Pujol Research Institute and Hospital (IGTP), Badalona, Spain.
Iñaki ComasCIBER in Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
Verónica Saludes *Microbiology Department, Laboratori Clínic Metropolitana Nord, Germans Trias i Pujol Research Institute and Hospital (IGTP), Badalona, Spain.
Elisa Martró *Microbiology Department, Laboratori Clínic Metropolitana Nord, Germans Trias i Pujol Research Institute and Hospital (IGTP), Badalona, Spain.
TB-SEQ Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite being a low-incidence area, Catalonia experiences substantial migration flows from countries with high tuberculosis (TB) burden, potentially making it a focal point for various Aim: We aimed to characterize the spatial structure of MTBC (sub)lineages in Catalonia, assess their associations with clinical and epidemiological factors, and identify spatiotemporal hotspots of cases belonging to the same sublineage. Methods: Whole-genome sequencing (WGS) was performed on 783 MTBC isolates collected across Catalonia from December 2021 to June 2023. Lineages and sublineages were assigned using SNP-based typing. Associations with clinical presentation, country of origin, and migration timing were evaluated using logistic regression and Fisher's exact test. SaTScan was used to identify space-time clusters of selected (sub)lineages. Results: Lineage 4/Euro-American predominated (83%), with L4.1.2/Haarlem, L4.3/LAM, and L4.10/PGG3 widely distributed, particularly among Spanish-born individuals and long-term migrants. L1/EAI, L2/Beijing, L3/CAS, and L4.1.1/X showed geographically restricted patterns, predominantly linked to migrants from India, Pakistan, China, and Peru. L1/EAI, L3/CAS, and L4.10/PGG3 were significantly associated with extrapulmonary TB. Sublineage diversity increased from sparsely to densely populated areas. Spatiotemporal analysis identified four significant clusters involving L1/EAI, L3/CAS, and L4.10/PGG3 across seven counties, mainly within the Barcelona Metropolitan Area, with L4.10/PGG3 showing the strongest clustering. Conclusion: L4 sublineages predominate in Catalonia, whereas L1/EAI, L2/Beijing, and L3/CAS are more geographically restricted and predominantly associated with migrants. The presence of sublineage-specific hotspots in dense urban areas highlights the role of migration dynamics and urbanization in shaping TB transmission.

Indexed as

extrapulmonary formhotspotsmigrationspatiotemporal clusterswhole-genome sequencing

Identifiers

PMID41939704
PMCPMC13047082

What OpenQuestion holds

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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.