Evidence map›Paper›PMID 40877989›Full record

ArticleInfectious diseases of poverty2025

Biological characteristics and epidemiological insights into the zoonotic potential of Colpodella spp.: a scoping review.

Yilin Zhao, Zhanxin Cao, Shizhu Li, Chunhong Du, Jiafu Jiang

Abstract readScoping Review
In one paragraph

Article in Infectious diseases of poverty, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Colpodellosis: IsPathogens (Basel, Switzerland) · 2026
    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

5 authors.

Yilin ZhaoState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, 100071, China.
Zhanxin CaoYunnan Provincial Key Laboratory of Natural Epidemic Disease Prevention and Control Technology, Yunnan Institute of Endemic Diseases Control and Prevention, Dali, 671000, China.
Shizhu LiChinese Center for Disease Control and Prevention, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Key Laboratory on Parasite and Vector Biology, National Institute of Parasitic DiseasesChinese Center for Tropical Diseases ResearchMinistry of HealthWHO Collaborating Centre for Tropical DiseasesNational Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Chunhong DuYunnan Provincial Key Laboratory of Natural Epidemic Disease Prevention and Control Technology, Yunnan Institute of Endemic Diseases Control and Prevention, Dali, 671000, China. dch6890728@163.com.
Jiafu JiangState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, 100071, China. jiangjf2008@139.com.ORCID http://orcid.org/0000-0003-2624-7450

Funding

National Key Research and Development Program of China 2024YFC2607504
6 · The paper itself

Abstract

backgroundColpodella species are classified within the domain Eukaryota, specifically under the order Colpodellida, family Colpodellaceae, and genus Colpodella, which are close relative of the phylum Apicomplexa. These organisms are unicellular, predatory flagellates. In recent years, their frequent detection in animal tissues, vector insect samples, and particularly in human has garnered significant attention as an emerging zoonotic threat. This review is to scope the biological characteristics and epidemiological features of Colpodella species.

methodsThe PubMed, Web of Science, and China National Knowledge Infrastructure databases were searched to identify studies in English or Chinese published before 4 February 2025. We searched for Colpodella-related nucleotide sequences released in the GenBank before 31 December, 2024. The literature and sequences were selected based on predefined inclusion criteria. We extracted the characteristics of Colpodella spp. from included articles and performed a phylogenetic analysis based on the included sequences.

resultsThirty-seven records and 83 sequences were included in the study, respectively. Colpodella spp. currently comprise only two formally named species, alongside at least 11 species uncultured or unnamed in GenBank. Their life cycle includes trophozoite and cyst stages, with nutrient acquisition mediated by myzocytosis. These organisms display structural and protein similarities in their apical complexes to apicomplexan protozoa, yet with distinct differences. They are currently found in a wide range of hosts, including humans, livestock, pets, wildlife and vectors, across multiple continents, including Europe, Asia, Africa, and the Americas. Phylogenetic analyses reveal that Colpodella spp. exhibit significant genetic diversity and can be divided into seven clades, each characterized by distinct host ranges and regional distributions, and three clades posed pathogenic potential and significant risk of human infection.

conclusionsThis study systematically elucidates the broad host/vector range, genetic diversity and public health implications of Colpodella species based on comprehensive integrated genomic and epidemiological analyses. We recommend establishing active surveillance networks using clade-specific molecular markers for hosts and vectors in high-risk regions, incorporating Colpodella screening into routine diagnostics for fever cases of unknown origin with anaemia, prioritizing studies on isolation and cultivation, biological characteristics, and clade-specific in vitro invasion assays to elucidate the pathogenic mechanisms.

Indexed as

ApicomplexaProtozoan InfectionsZoonosesAnimalsHumansPhylogenyApicomplexaBiological characteristicsColpodellaDiversityHuman infections riskZoonosis

Identifiers

PMID40877989
PMCPMC12392618

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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.