Evidence map›Paper›PMID 40230587›Full record

ArticleOne health (Amsterdam, Netherlands)2025

Microbiome-based surveillance of zoonotic tick-borne pathogens from urban wild boars in Barcelona, 2022-2023.

Laura Carrera-Faja, Elmira Ghadamnan, Iris Sarmiento, Jordi Manuel Cabrera-Gumbau, Mariette Viladomat Jasso, Josep Estruch, Daniel Borràs, Jaime Martínez-Urtaza, Johan Espunyes, Oscar Cabezón

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Very Low Serological Evidence of Exposure toPathogens (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Review
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.

Laura Carrera-FajaWildlife Conservation Medicine Research Group (WildCoM), Departament de Medicina i Cirurgia Animals, Universitat Autònoma de Barcelona (UAB), 08193 Bellaterra, Spain.
Elmira GhadamnanDepartament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain.
Iris SarmientoDepartament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain.
Jordi Manuel Cabrera-GumbauDepartament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain.
Mariette Viladomat JassoIRTA, Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), 08193 Bellaterra, Catalonia. Spain.
Josep EstruchServei d'Ecopatologia de Fauna Salvatge (SEFaS) and Wildlife Ecology & Health Group, Departament de Medicina i Cirurgia Animals, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain.
Daniel BorràsDepartament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain.
Jaime Martínez-UrtazaDepartament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain.
Johan EspunyesIRTA, Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), 08193 Bellaterra, Catalonia. Spain.
Oscar CabezónWildlife Conservation Medicine Research Group (WildCoM), Departament de Medicina i Cirurgia Animals, Universitat Autònoma de Barcelona (UAB), 08193 Bellaterra, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Incursions of wild animals into urban areas amplify the potential risks of zoonotic disease transmission by increasing contact between humans and animal reservoirs. Monitoring the presence of pathogens in these animals is crucial for assessing zoonotic risks but remains challenging due to the vast array of known and unknown pathogens harboured by animals. Microbiome-based approaches provide an efficient and comprehensive alternative for monitoring microbial communities and scanning the whole spectrum of bacterial pathogens. In this study, we applied this innovative conceptual framework to implement a sentinel monitoring system for investigating zoonotic tick-borne bacteria in three tick species sampled from wild boars in the Metropolitan Area of Barcelona (MAB). Using Nanopore sequencing of the full length 16 s rRNA gene, we demonstrated a fast and cost-effective approach for microbiome analysis. Our findings revealed the presence of two pathogenic genera widely documented in ticks, encompassing five species:

Indexed as

FrancisellaNanopore sequencingRickettsiaVector-borne diseaseWildlifeZoonosis

Identifiers

PMID40230587
PMCPMC11994396

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.