Evidence map›Paper›PMID 40053847›Full record

ArticleParasite (Paris, France)2025

Prevalence and genotype analysis of Cryptosporidium spp. in nine species of wild rodents in China.

Zhen-Qiu Gao, Hai-Tao Wang, Jing-Hao Li, Yi-Xuan Song, Qing-Yu Hou, Si-Yuan Qin, He Ma, Quan Zhao, Ya Qin

Abstract read
In one paragraph

Article in Parasite (Paris, France), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Occurrence and Genetic Diversity ofAnimals : an open access journal from MDPI · 2026
    Article
  4. Article
  5. Metagenomic analysis of gut microbiota composition and function in wild mice (Frontiers in cellular and infection microbiology · 2025
    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

9 authors.

Zhen-Qiu GaoSchool of Pharmacy, Yancheng Teachers University, Yancheng, Jiangsu Province 224000, PR China.
Hai-Tao WangCollege of Life Sciences, Changchun Sci-Tech University, Shuangyang, Jilin Province 130600, PR China - College of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province 266109, PR China.
Jing-Hao LiCenter of Prevention and Control Biological Disaster, State Forestry and Grassland Administration, Shenyang, Liaoning Province 110034, PR China.
Yi-Xuan SongForestry Investigation and Planning Institute of Liaoning, Shenyang, Liaoning Province 110000, PR China.
Qing-Yu HouCollege of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province 266109, PR China.
Si-Yuan QinCenter of Prevention and Control Biological Disaster, State Forestry and Grassland Administration, Shenyang, Liaoning Province 110034, PR China.
He MaCollege of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province 266109, PR China.
Quan ZhaoCollege of Life Sciences, Changchun Sci-Tech University, Shuangyang, Jilin Province 130600, PR China.
Ya QinCollege of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province 266109, PR China - College of Veterinary Medicine, College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin Province 130118, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cryptosporidium is a significant zoonotic parasite with broad distribution in both humans and rodents. In this study, 510 fecal samples were collected from nine species of wild rodents across Guangxi, Yunnan, and Hunan Provinces in China. Nested PCR analysis targeting the SSU rRNA gene revealed an overall Cryptosporidium infection rate of 1.8% (9/510) among rodents in these provinces. The highest positivity rate was observed in Guangxi Province at 4.9% (5/103), followed by Yunnan Province (2.3%, 2/88), and Hunan Province (0.6%, 2/319). Notably, Rattus losea exhibited the highest prevalence rate at 9.8% (4/41), while Rattus flavipectus and Niviventer lotipes showed rates of 5.1% (2/39) and 4.4% (1/23), respectively. Various genotypes/species were identified, including Cryptosporidium viatorum, Cryptosporidium muris, Cryptosporidium vole genotype VII, and Cryptosporidium ratti, rat genotypes II, and IV. The study also found that wild rodents inhabiting mountainous areas had a higher prevalence rate at 4.9% (5/103) compared to those residing in fields and lake beaches, where prevalence rates were 2.1% (2/95) and 0.6% (2/312), respectively. This study provides new insights into Cryptosporidium infection rates among wild rodents and identifies two zoonotic species, C. viatorum and C. muris. These findings underscore the potential risk posed by Chinese wild rodent populations in transmitting zoonotic Cryptosporidium, which could significantly impact public health. Therefore, effective control strategies are needed to prevent transmission between humans and rodents.

Indexed as

CryptosporidiosisCryptosporidiumRodent DiseasesRodentiaAnimalsAnimals, WildChinaDNA, ProtozoanFecesGenotypeHumansPhylogenyPolymerase Chain ReactionPrevalenceRatsZoonosesDNA, ProtozoanCryptosporidiumGenotypesPrevalenceSSU rRNA geneWild RodentsZoonosis

Identifiers

PMID40053847
PMCPMC11888585

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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.