Evidence map›Paper›PMID 40498992›Full record

ArticleParasite (Paris, France)2025

Prevalence and characterization of Cryptosporidium in sika deer from Northern China.

Yan Tang, Nian-Yu Xue, Yang Gao, Zhen-Qiu Gao, Hong-Di Zhuang, Guang-Rong Bao, Hong-Wei Cao, Jing Liu, Jian-Ming Li, Shuo Liu

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Yan Tang *College of Life Sciences, Changchun Sci-Tech University, Shuangyang, Jilin Province, PR China - College of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province, PR China.
Nian-Yu Xue *College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu Province, PR China.
Yang GaoState Key Laboratory for Animal Disease Control and Prevention, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Harbin, Heilongjiang Province, PR China.
Zhen-Qiu GaoSchool of Pharmacy, Yancheng Teachers University, Yancheng, Jiangsu Province, PR China.
Hong-Di ZhuangCollege of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin Province, PR China.
Guang-Rong BaoCollege of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province, PR China.
Hong-Wei CaoSchool of Pharmacy, Yancheng Teachers University, Yancheng, Jiangsu Province, PR China.
Jing Liu *College of Life Sciences, Changchun Sci-Tech University, Shuangyang, Jilin Province, PR China.
Jian-Ming LiCollege of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin Province, PR China.
Shuo LiuCollege of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province, PR China.ORCID 0009-0005-4717-8329

Funding

Jilin Provincial Key Research and Development 20230204010YY
6 · The paper itself

Abstract

Cryptosporidium spp. are important zoonotic parasites that can cause moderate to severe diarrhea in humans and animals. However, the epidemiological data of Cryptosporidium in sika deer in China need to be updated. In this study, a total of 466 fecal samples were collected from sika deer in Shandong, Jilin, Liaoning, and Heilongjiang provinces. Nested PCR was used to amplify the SSU rRNA gene to detect Cryptosporidium spp. The results showed that the overall infection rate of Cryptosporidium spp. was 14.81%, with no significant differences among regions (p = 0.05). The highest infection rate was found in Heilongjiang Province (23.60%) and the lowest in Jilin Province (10.71%). The infection rate in summer (23.61%) seemed higher than that in autumn (13.20%), but the difference was not statistically significant (p = 0.30). Notably, young sika deer showed a significantly higher infection rate (28.21%) compared to adults (10.32%) (p < 0.0001). Sequence analysis identified two Cryptosporidium species/genotypes: Cryptosporidium deer genotype (98.55%) and Cryptosporidium ubiquitum (1.45%). Subtyping revealed that the C. ubiquitum isolate belonged to the zoonotic XIIa subtype. These findings provide new insights into the prevalence and genetic diversity of Cryptosporidium in sika deer and suggest that sika deer may act as a potential reservoir for zoonotic Cryptosporidium transmission.

Indexed as

CryptosporidiosisCryptosporidiumDeerAnimalsChinaDNA, ProtozoanFecesGenotypePhylogenyPolymerase Chain ReactionPrevalenceSeasonsZoonosesDNA, ProtozoanChinaCryptosporidium sp.PrevalenceSika deerSubtype

Identifiers

PMID40498992
PMCPMC12158220

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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.