Evidence map›Paper›PMID 42218469›Full record

ArticleParasites & vectors2026

Molecular detection of zoonotic pathogens in fleas collected from dogs and cats in Portugal.

André Pereira, Adrian Cruz, João Cruz, David Garcia-Dios, Teresa Novo, Carla Maia

Abstract read
In one paragraph

Article in Parasites & vectors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. A new species ofInternational journal for parasitology. Parasites and wildlife · 2026
    Article
  2. Phylogenetic, genomic and morphological characterization ofInternational journal of systematic and evolutionary microbiology · 2026
    Article
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

6 authors.

André PereiraResearch in Veterinary Medicine, I-MVET, Faculty of Veterinary Medicine, Lusófona University-Lisbon University Centre, Campo Grande nº 376, 1749-024, Lisbon, Portugal.
Adrian CruzIHMT, Universidade NOVA de Lisboa, Rua da Junqueira nº100, 1349-008, Lisbon, Portugal.
João CruzIHMT, Universidade NOVA de Lisboa, Rua da Junqueira nº100, 1349-008, Lisbon, Portugal.
David Garcia-DiosIHMT, Universidade NOVA de Lisboa, Rua da Junqueira nº100, 1349-008, Lisbon, Portugal.
Teresa NovoGlobal Health and Tropical Medicine, GHTM, LA-REAL, Instituto de Higiene e Medicina Tropical, IHMT, Universidade NOVA de Lisboa, Rua da Junqueira nº100, 1349-008, Lisbon, Portugal.
Carla MaiaGlobal Health and Tropical Medicine, GHTM, LA-REAL, Instituto de Higiene e Medicina Tropical, IHMT, Universidade NOVA de Lisboa, Rua da Junqueira nº100, 1349-008, Lisbon, Portugal. carlamaia@ihmt.unl.pt.

Funding

Consellería de Educación, Ciencia, Universidades e Formación Profesional ED481B-2025/018Fundação para a Ciência e a Tecnologia GHTM (UID/Multi/04413/2020) and LA-REAL (LA/P/0117/2020)
6 · The paper itself

Abstract

backgroundFleas are common ectoparasites of companion animals and key vectors of pathogens of veterinary and zoonotic relevance. Although flea infestations are highly prevalent in dogs and cats in Portugal, nationwide data on flea-borne pathogens are limited. This study aimed to estimate the prevalence and characterize the molecular diversity of Bartonella spp., Rickettsia spp., and Dipylidium caninum in fleas collected from dogs and cats in mainland Portugal, and to identify associated epidemiological factors.

methodsFleas collected from dogs and cats across mainland Portugal were screened using conventional polymerase chain reaction (PCR) assays targeting the 16S-23S ribosomal RNA (rRNA) intergenic spacer region of Bartonella spp., the ompB gene of Rickettsia spp., and the 28S rRNA gene region of D. caninum. Positive amplicons were sequenced and analyzed phylogenetically. Associations between pathogen detection and epidemiological variables, including host species, host lifestyle, flea species, and geographic region, were evaluated using multivariable logistic regression models.

resultsA total of 1261 fleas were analyzed, with 24.7% positive for at least one pathogen. Bartonella spp. DNA was detected in 8.3% of fleas and was significantly more frequent in fleas from cats, particularly stray/sheltered animals, with regional differences also observed. Identified species included B. clarridgeiae, B. henselae, and B. rochalimae. Rickettsia spp. DNA was detected in 16.2% of fleas, predominantly in Ctenocephalides felis, with flea species, host species, and geographic region identified as independent predictors of positivity. Most sequences corresponded to R. felis, while R. asembonensis and Candidatus R. senegalensis, the latter reported for the first time in Europe, were also identified. Dipylidium caninum DNA was detected in 1.8% of fleas, all C. felis, with both canine- and feline-associated genotypes circulating in fleas from dogs and cats. Co-detection of pathogen DNA occurred in 2.1% of fleas, mostly Bartonella spp./Rickettsia spp.

conclusionsFleas infesting companion animals in Portugal frequently harbor pathogens of veterinary and zoonotic relevance, with C. felis playing a central role in pathogen circulation at the human-animal interface. These findings reinforce the need for sustained surveillance and effective ectoparasite control within a One Health framework to reduce pathogen circulation and mitigate risks to both animal and public health.

Indexed as

BartonellaCat DiseasesDog DiseasesFlea InfestationsSiphonapteraZoonosesAnimalsCatsDNA, BacterialDogsPhylogenyPolymerase Chain ReactionPortugalPrevalenceRickettsiaDNA, BacterialBartonellaCatsDipylidium caninumDogsFlea infestationsOne healthPortugalRickettsia

Identifiers

PMID42218469
PMCPMC13435523

What OpenQuestion holds

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LicenceCC BY
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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.